Global deforestation has been recognized as an important factor influencing climate change over the past century.However, uncertainties remain regarding its biophysical impacts on temperature across China. Utilizing m...Global deforestation has been recognized as an important factor influencing climate change over the past century.However, uncertainties remain regarding its biophysical impacts on temperature across China. Utilizing monthly data from eight global climate models of the Land Use Model Intercomparison Project, a multimodel comparison was conducted to quantitatively analyze the biophysical impacts of global deforestation on near-surface air temperature in China, using a surface energy balance decomposition method. Results show a 38%(29% to 45%) reduction in forest cover in China(ensemble mean and range across eight models) relative to pre-industrial levels, and an annual cooling of 0.6 K(0.05 to1.4 K) accompanied by global deforestation. Notably, surface albedo causes a cooling effect of 0.6 K(0.2 to 2.0 K), while surface latent and sensible heat fluxes partially offset this cooling by 0.2 K(-0.2 to 0.5 K) and 0.2 K(-0.04 to 0.6 K),respectively. These effects are more pronounced in winter and spring in deforested regions. Furthermore, the separation of atmospheric feedbacks under clear-sky and cloudy conditions show that the cloud radiative effect only accounts for 0.1 K(-0.1 to 0.4 K), while the clear-sky surface downward radiation is a significant cooling factor, contributing up to-0.5 K(-1.2 to 0.004 K), particularly in summer. However, the consistency of these models in simulating the impact of surface latent heat flux and albedo on surface temperature in China in response to deforestation is somewhat poor, highlighting the need to improve these related processes.展开更多
HCLS1-associated protein X-1(HAX1)is a multifunctional mitochondrial protein involved in the regulation of apoptosis,a crucial process of programmed cell death,and mRNA processing.Despite its significance,limited stru...HCLS1-associated protein X-1(HAX1)is a multifunctional mitochondrial protein involved in the regulation of apoptosis,a crucial process of programmed cell death,and mRNA processing.Despite its significance,limited structural data is available for HAX1,hindering a comprehensive understanding of its biological function.Notably,the caseinolytic mitochondrial matrix peptidase chaperone subunit B(CLPB)has been identified as an interacting partner of HAX1,yet the biophysical properties and binding affinity governing their interaction remain poorly defined.In this study,we present a thorough biophysical characterization of full-length human HAX1 and CLPB,accomplished through recombinant expression and purification.By employing size exclusion chromatography,dynamic light scattering,and circular dichroism spectroscopy,we successfully established their biophysical properties,revealing contrasting structural features,with CLPB displaying a-helical content and HAX1 exhibiting a disordered nature.Moreover,we employed solutionstate nuclear magnetic resonance(NMR)spectroscopy to probe their binding affinity.Our findings demonstrate the formation of stable multimeric complexes between HAX1 and CLPB,and we quantified a dissociation constant in the low range of micro-molar for their high affinity interaction.These results lay the foundation for further in-depth investigations into the dynamics and energetics governing the HAX1-CLPB interaction,ultimately contributing to a comprehensive understanding of their functional mechanisms.展开更多
Phenology shifts influence regional climate by altering energy,and water fluxes through biophysical processes.However,a quantitative understanding of the phenological control on vegetation’s biophysical feedbacks to ...Phenology shifts influence regional climate by altering energy,and water fluxes through biophysical processes.However,a quantitative understanding of the phenological control on vegetation’s biophysical feedbacks to re gional climate remains elusive.Using long-term remote sensing observations and Weather Research and Fore casting(WRF)model simulations,we investigated vegetation phenology changes from 2003 to 2020 and quan tified their biophysical controls on the regional climate in Northeast China.Our findings elucidated that earlier green-up contributed to a prolonged growing season in forests,while advanced green-up and delayed dormancy extended the growing season in croplands.This prolonged presence and increased maximum green cover in tensified climate-vegetation interactions,resulting in more significant surface cooling in croplands compared to forests.Surface cooling from forest phenology changes was prominent during May’s green-up(-0.53±0.07°C),while crop phenology changes induced cooling throughout the growing season,particularly in June(-0.47±0.15°C),July(-0.48±0.11°C),and September(-0.28±0.09°C).Furthermore,we unraveled the contributions of different biophysical pathways to temperature feedback using a two-resistance attribution model,with aero dynamic resistance emerging as the dominant factor.Crucially,our findings underscored that the land surface temperature(LST)sensitivity,exhibited substantially higher values in croplands rather than temperate forests.These strong sensitivities,coupled with the projected continuation of phenology shifts,portend further growing season cooling in croplands.These findings contribute to a more comprehensive understanding of the intricate feedback mechanisms between vegetation phenology and surface temperature,emphasizing the significance of vegetation phenology dynamics in shaping regional climate pattern and seasonality.展开更多
The radial basis function （RBF） emerged as a variant of artificial neural network. Generalized regression neural network （GRNN） is one type of RBF, and its principal advantages are that it can quickly learn and ra...The radial basis function （RBF） emerged as a variant of artificial neural network. Generalized regression neural network （GRNN） is one type of RBF, and its principal advantages are that it can quickly learn and rapidly converge to the optimal regression surface with large number of data sets. Hyperspectral reflectance （350 to 2500 nm） data were recorded at two different rice sites in two experiment fields with two cultivars, three nitrogen treatments and one plant density （45 plants m^-2）. Stepwise multivariable regression model （SMR） and RBF were used to compare their predictability for the leaf area index （LAI） and green leaf chlorophyll density （GLCD） of rice based on reflectance （R） and its three different transformations, the first derivative reflectance （D1）, the second derivative reflectance （D2） and the log-transformed reflectance （LOG）. GRNN based on D1 was the best model for the prediction of rice LAI and CLCD. The relationships between different transformations of reflectance and rice parameters could be further improved when RBF was employed. Owing to its strong capacity for nonlinear mapping and good robustness, GRNN could maximize the sensitivity to chlorophyll content using D1. It is concluded that RBF may provide a useful exploratory and predictive tool for the estimation of rice biophysical parameters.展开更多
Response and feedback of land surface research priorities in the field of geoscience. The process to climate change is one of the current study paid more attention to the impacts of global change on land surface proce...Response and feedback of land surface research priorities in the field of geoscience. The process to climate change is one of the current study paid more attention to the impacts of global change on land surface process, but the feedback of land surface process to climate change has been poorly understood. It is becoming more and more meaningful under the framework of Earth system science to understand systematically the relationships between agricultural phenology dynamic and biophysical process, as well as the feedback on climate. In this paper, we summarized the research progress in this field, including the fact of agricultural phenology change, parameterization of phenology dynamic in land surface progress model, the influence of agricultural phenology dynamic on biophysical process, as well as its feedback on climate. The results showed that the agriculture phenophase, represented by the key phenological phases such as sowing, flowering and maturity, had shifted significantly due to the impacts of climate change and agronomic management. The digital expressions of land surface dynamic process, as well as the biophysical process and atmospheric process, were improved by coupling phenology dynamic in land surface model. The agricultural phenology dynamic had influenced net radiation, latent heat, sensible heat, albedo, temperature, precipitation, circulation, playing an important role in the surface energy partitioning and climate feedback. Considering the importance of agricultural phenology dynamic in land surface biophysical process and climate feedback, the following research priorities should be stressed： （1） the interactions between climate change and land surface phenology dynamic; （2） the relations between agricultural phenology dynamic and land surface reflectivity at different spectrums; （3） the contributions of crop physiology characteristic changes to land surface biophysical process; （4） the regional differences of climate feedbacks from phenology dynamic in different climate zones. This review is helpful to accelerate understanding of the role of agricultural phenology dynamic in land surface process and climate feedback.展开更多
DMSP/OLS nighttime light （NTL） image is a widely used data source for urbaniza- tion studies. Although OLS NTL data are able to map nighttime luminosity, the identification accuracy of distribution of urban areas （...DMSP/OLS nighttime light （NTL） image is a widely used data source for urbaniza- tion studies. Although OLS NTL data are able to map nighttime luminosity, the identification accuracy of distribution of urban areas （UAD） is limited by the overestimation of the lit areas resulting from the coarse spatial resolution. In view of geographical condition, we integrate NTL with Biophysical Composition Index （BCl） and propose a new spectral index, the BCl Assisted NTL Index （BANI） to capture UAD. Comparisons between BANI approach and NDVl-assisted SVM classification are carried out using UAD extracted from Landsat TM/ETM＋ data as reference. Results show that BANI is capable of improving the accuracy of UAD extraction using NTL data. The average overall accuracy （OA） and Kappa coefficient of sample cities increased from 88.53% to 95.10% and from 0.56 to 0.84, respectively. Moreover with regard to cities with more mixed land covers, the accuracy of extraction results is high and the improvement is obvious. For other cities, the accuracy also increased to varying de- grees. Hence, BANI approach could achieve better UAD extraction results compared with NDVl-assisted SVM method, suggesting that the proposed method is a reliable alternative method for a large-scale urbanization study in China＇s mainland.展开更多
Algal blooms caused by Prorocentrum donghaiense occurred frequently in the East China Sea （ECS） during spring in recent years. In this study, a coupled biophysical model was used to hindcast a massive P. donghaiense...Algal blooms caused by Prorocentrum donghaiense occurred frequently in the East China Sea （ECS） during spring in recent years. In this study, a coupled biophysical model was used to hindcast a massive P. donghaiense bloom that occurred in 2005 and to determine the factors influencing bloom initiation and development. The model comprised the Regional Ocean Modeling System tailored for the ECS that utilized a multi-nested configuration and a population dynamics model for 19. donghaiense. Comparisons between simulations and observations revealed that the biological model is capable of reproducing the characteristics of 19. donghaiense growth under different irradiances and phosphorus limitation scenarios. The variation of intracellular phosphorus and the effects of 19. donghaiense on ambient nutrients conditions were also reproduced. The biophysical model hindcasted the hydrodynamics and spatiotemporal distributions of the P. donghaiense bloom reasonably well. Bloom development was consistent with observations reported in earlier studies. The results demonstrate the capability of the model in capturing subsurface incubation during bloom initiation. Then model＇s hindcast solutions were further used to diagnose the factors controlling the vertical distribution. Phosphate appeared to be one of the factors controlling the subsurface incubation, whereas surface wind fields played an important role in determining P. donghaiense distribution. The results highlight the importance of nutrient-limitation as a mechanism in the formation of P. donghaiense subsurface layers and the dispersing of P. donghaiense blooms. This coupled biophysical model should be improved and used to investigate 19. donghaiense blooms occurring in different scenarios.展开更多
In the East China Sea(ECS), the succession of causative species responsible for blooms is a recurrent phenomenon during the spring, which changes from diatoms to dinoflagellates. Observations from space and in situ cr...In the East China Sea(ECS), the succession of causative species responsible for blooms is a recurrent phenomenon during the spring, which changes from diatoms to dinoflagellates. Observations from space and in situ cruises captured this pattern of succession during spring of 2005. In this study, we coupled two biological models, which were developed previously for Skeletonema costatum and Prorocentrum donghaiense,into a circulation model tailored for the ECS. The coupled biophysical model was used to hindcast the blooms and to test the hypothesis proposed in earlier studies that phosphate(PO4 3–) is the first-order decider of the succession. The coupled model successfully reproduced the hydrodynamics(as described in a companion paper by Sun et al.(1), the spatiotemporal distribution of the chlorophyll a(Chl a) concentration, and the species succession reasonably well. By analyzing the effects of different factors on the surface Chl a distribution, we confirmed that the offshore boundaries of the blooms were confined by PO4 3–. In addition, we suggest that surface wind fields may modulate the horizontal distribution of blooms. Thus, during the dispersal of blooms, surface winds coupled with PO4 3– may control the succession of blooms in the ECS. The proposed coupled model provides a benchmark to facilitate future improvements by including more size classes for organisms, multiple nutrient schemes, and additional processes.展开更多
In order to improve the accuracy of biophysical parameters retrieved from remotely sensing data, a new algorithm was presented by using spatial contextual to estimate canopy variables from high-resolution remote sensi...In order to improve the accuracy of biophysical parameters retrieved from remotely sensing data, a new algorithm was presented by using spatial contextual to estimate canopy variables from high-resolution remote sensing images. The developed algorithm was used for inversion of leaf area index (LAI) from Enhanced Thematic Mapper Plus (ETM+) data by combining with optimization method to minimize cost functions. The results show that the distribution of LAI is spatially consistent with the false composition imagery from ETM+ and the accuracy of LAI is significantly improved over the results retrieved by the conventional pixelwise retrieval methods, demonstrating that this method can be reliably used to integrate spatial contextual information for inverting LAI from high-resolution remote sensing images.展开更多
With the growing recognition to myriad forms of current and future threats in the mountain agriculture systems,there is a pressing need to holistically understand the vulnerability of mountain agriculture communities....With the growing recognition to myriad forms of current and future threats in the mountain agriculture systems,there is a pressing need to holistically understand the vulnerability of mountain agriculture communities.The study aims to assess the biophysical and social vulnerability of agriculture communities using an indicator-based approach for the state of Uttarakhand,India.A total of 14 indicators were used to capture biophysical vulnerability and 22 for social vulnerability profiles of15285 villages.Vulnerability analysis was done at village level with weights assigned to each indicator using Analytical Hierarchical Process(AHP).The results of the study highlight the presence of very high biophysical vulnerability(0.82 ± 0.10) and high social vulnerability(0.65 ± 0.15) within the state.Based on the results,it was found that incidences of high biophysical vulnerability coincide with presence of intensified agriculture land and absence of dense forest.Higher social vulnerability scores were found in villages with an absence of local institutions(like Self Helping Groups(SHGs)),negligible infrastructure facilities and higher occupational dependence on agriculture.A contrast was observed in the vulnerability scores of villages present in the three different altitudinal zones in the study area,indicating respective vulnerability generating conditions existing in these three zones.Biophysical vulnerability was recorded to be highest in the villages falling in the lower zone and lowest in the upper zone villages;whereas,social vulnerability was found to be highest in the middle zone villages and lowest in lower zone villages.Our study aids policy makers in identifying areas for intervention to expedite agriculture adaptation planning in the state.Additionally,the adaptation programmes in the region need to be more context-specific to accommodate the differential altitudinal vulnerability profiles.展开更多
The common acupoints and meridians for gynecology as well as their biophysical characteristics were summarized,the importance of biophysical characteristics for common meridians and acupoints were pointed out,some new...The common acupoints and meridians for gynecology as well as their biophysical characteristics were summarized,the importance of biophysical characteristics for common meridians and acupoints were pointed out,some new research fields for fundamental study on common acupoints in gynecology were put forward,such as proteomics,genomics,transcriptomics,and other fields,and further evidence support for large-sample randomized controlled trials were appealed.展开更多
This paper is devoted to the development and testing of the optimal procedures for retrieving biophysical crop variables by exploiting the spectral information of current multispectral optical satellite Sentinel-2 and...This paper is devoted to the development and testing of the optimal procedures for retrieving biophysical crop variables by exploiting the spectral information of current multispectral optical satellite Sentinel-2 and Venus and in view of the advent of the new Sino-EU hyperspectral satellite(e.g.,PRISMA,EnMAP,and GF-5).Two different methodologies devoted to the estimation of biophysical crop variables Leaf area index(LAI)and Leaf chlorophyll content(Cab)were evaluated:non-kernel-based and kernel-based Machine Learning Regression Algorithms(MLRA);Sentinel-2 and Venus data comparison for the analysis of the durum wheat-growing season.Results show that for Sentinel-2 data,Gaussian Process Regression(GPR)was the best performing algorithm for both LAI(R 2=0.89 and RMSE=0.59)and Cab(R 2=0.70 and RMSE=8.31).Whereas,for PRISMA simulated data the Kernel Ridge Regression(KRR)was the best performing algorithm among all the other MLRA(R 2=0.91 and RMSE=0.51)for LAI and(R 2=0.83 and RMSE=6.09)for Cab,respectively.Results of Sentinel-2 and Venus data for durum wheat-growing season were consistent with ground truth data and confirm also that SWIR bands,which are used as tie-points in the PROSAIL inversion,are extremely useful for an accurate retrieving of crop biophysical parameters.展开更多
This study assesses surface urban heat island (UHI) and its associated surface physical characteristics using remote sensing approaches. TERRA/MODIS images acquired in 2005 in three different seasons were selected to ...This study assesses surface urban heat island (UHI) and its associated surface physical characteristics using remote sensing approaches. TERRA/MODIS images acquired in 2005 in three different seasons were selected to generate land surface tem-perature and surface characteristics for the Changsha-Zhuzhou-Xiangtan metropolitan area in China. The intensity of urban heat is-land effects and its seasonal variations were examined. The result showed that UHI effects were significant both in the summer and the spring. Land surface temperatures in the city were 8 ℃ to 10℃ warmer than those in surrounding rural areas in the spring and the summer seasons. Although UHI effects exist in winter, they are not significant. Land surface temperature in the city was 4℃ warmer than that in surrounding rural areas in winter. This study uses normalized difference vegetation index (NDVI) and normal-ized difference built-up index (NDBI) as indicators of surface physical characteristics and investigates the relationship among land surface temperature (LST), NDVI and NDBI. The results from this study indicate that, while the relationship between LST and NDVI changes in different seasons, there is a strong positive linear relationship between NDBI and LST for all seasons. The amount of slope and intercept of the linear relationship between NDBI and LST can indicate the magnitude of UHI for different seasons. This finding suggests that NDBI provides an alternative physical indicator for analyzing LST quantitatively over different seasons, and therefore providing a useful way to study UHI effects using remote sensing.展开更多
The field of environmental sciences is abundant with various interfaces and is the right place for the application of new fundamental approaches leading towards a better understanding of environmental phenomena. Follo...The field of environmental sciences is abundant with various interfaces and is the right place for the application of new fundamental approaches leading towards a better understanding of environmental phenomena. Following the definition of environmental interface by Mihailovic and Bala? [1], such interface can be, for example, placed between: human or animal bodies and surrounding air, aquatic species and water and air around them, and natural or artificially built surfaces (vegetation, ice, snow, barren soil, water, urban communities) and the atmosphere, cells and surrounding environment, etc. Complex environmental interface systems are (i) open and hierarchically organised (ii) interactions between their constituent parts are nonlinear, and (iii) their interaction with the surrounding environment is noisy. These systems are therefore very sensitive to initial conditions, deterministic external perturbations and random fluctuations always present in nature. The study of noisy non-equilibrium processes is fundamental for modelling the dynamics of environmental interface regarded as biophysical complex system and for understanding the mechanisms of spatio-temporal pattern formation in contemporary environmental sciences. In this paper we will investigate an aspect of dynamics of energy flow based on the energy balance equation. The energy exchange between interacting environmen- tal interfaces regarded as biophysical complex systems can be represented by coupled maps. Therefore, we will numerically investigate coupled maps representing that exchange. In ana- lysis of behaviour of these maps we applied Lyapunov exponent and cross sample entropy.展开更多
Background Dendritic cells(DCs)are the most important antigen-presenting cells due to their professional and extremely efficient antigen-presenting function.The dynamics of cytoskeleton plays crucial regulated roles o...Background Dendritic cells(DCs)are the most important antigen-presenting cells due to their professional and extremely efficient antigen-presenting function.The dynamics of cytoskeleton plays crucial regulated roles on DCs’immune functions and biophysical properties.Several evidences show that tumor-derived suppressive cytokines deteriorate DCs’immune functions through remodeling their F-actin cytoskeleton.But the underlying mechanism is still elusive.Tropomodulin1(Tmod1),a cytoskeleton-binding protein,regulates and stabilizes actin filaments lengths and cytoskeleton architecture,which involves in the regulations of the morphology,formation of neural dendrites and biophysical properties of cells.Our previous studies found that mature DCs(mDCs)had a higher expression of Tmod1 than immature DCs(imDCs). Therefore,it’s hypothesized that Tmod1 maybe involve in the modification of DCs’functions.Objective The aim of the study is to investigate the effects of Tmodl on the immune functions and biophysical properties of DCs and the underlying mechanisms in order to further understand the biological behaviors of DCs.Methods Bone marrow-derived cells were harvested from wild type(C57BL/6 J)mice and Tmod1 knockout mice(Tmod1 overexpressing transgenic(TOT)/Tmod1-/-)and differentiated to immature dendritic cells(imDCs)by rmGM-CSF and rmIL-4.imDCs were then matured by lipopolysaccharides(LPS)treatment.The expressions of the surface markers in DCs,including CD80,CD86,CD40,MHC-Ⅱand CCR7,were detected by flow cytometry,Western blot and qRT-PCR.The inflammation cytokines such as IL-6,IFN-γ,IFN-βand IL-10 were also detected by flow cytometry.The immune functions and the biophysical properties of DCs were compared between the wild type and Tmod1 knockout mice.The F-actin content and dendritic pseudopodia of these two kinds of DCs were detected by flow cytometry and laser scanning confocal microscope respectively.Finally,we detected the MyD88 dependent and independent signaling pathway to discover the molecular mechanisms.Results We found that Tmod1-deficient mDCs showed deficient antigen-presenting ability and they failed to express enough MHC-Ⅱ,co-stimulated molecules(CD80/86,CD40)and CCR7 on their cell surface.The secretions of the inflammatory cytokines IL-6 and IFN-γwere decreased while the anti-inflammatory cytokines IFN-βand IL-10 were increased in the supernatant of Tmod1-deficient mDCs.As compared to DCs of wild type mice,the migration ability of DCs from Tmod1 knockout mice were dramatically damaged including their free migration and CCL19 mediated chemotaxis migration.However,we found that Tmod1 knockout had no effects on the imDCs’endocytosis ability.Furthermore,Tmod1 knockout DCs showed higher osmotic fragility,lower Young’s modulus,less F-actin content and shorter dendritic pseudopodia.Under LPS stimulation,the phosphorylation level of p65 and p38 were significantly downregulated in Tmod1 knockout mice while the expression of p-IRF3 was upregulated.Conclusions These results indicated that Tmodl knockout leads to deficient antigen-presenting ability and impaired migration of DCs as well as their biophysical properties.The underlying mechanisms are due to the inhibitions of the TLR4-mediated NF-κB and p38 MAPK singling pathway and the activation of the IRF3 signaling pathway,as well as the disturbed reorganization of the F-actin cytoskeleton.Our results provide a new insight on the functions of Tmod1 which can affect the DCs’immune functions and biophysical properties through regulating the TLR4-mediated singling pathways and cytoskeleton remodeling.展开更多
Cell reprograming technologies have broad applications in cell therapy,disease modeling and drug screening.Direct reprogramming is the process of converting from one cell type into a very distantly related cell type.I...Cell reprograming technologies have broad applications in cell therapy,disease modeling and drug screening.Direct reprogramming is the process of converting from one cell type into a very distantly related cell type.In this direct conversion process,cells do not proceed through a pluripotent stage,which can be time-consuming and challenging due to spontaneous differentiation.This method also offers the advantage of circumventing the teratoma potential that is associated with using iPSCs.Previous works have demonstrated that with the use of genetic manipulation,fibroblasts can be directly converted into other cell types,including neurons,cardiomyocytes,blood cell progenitors,and hepatocytes.It is well known that the microenvironment can directs cell fate,and in turn cells interact with or remodel their niches.Accumulative evidence suggests that biophysical factors such as the microtopography and mechanical property of cell adhesive substrates regulate a variety of cellular functions such as migration,proliferation and differentiation,which in turn can modulate wound healing,tissue remodeling and tumor growth,but there are limited number of studies on the roles of biophysical cues in cell reprogramming[1].Passive topographical cues offer a simple and effective method to improve reprogramming efficiency without the need for biochemical manipulations.Our previous study has demonstrated that somatic cells cultured on the parallel microgrooves,which can replace the effects of small-molecule epigenetic modifiers and significantly improve the iPSCs reprogramming efficiency.The mechanism relies on the mechanomodulation of the cells’epigenetic state,specifically,an increase of histone H3 acetylation and H3K4 methylation[2].Additionally,in cardiomyocytes reprogramming study,culturing the fibroblasts on microgrooved substrate enhances the expression of cardiomyocyte genes by day 2 and improves the yield of partially reprogrammed cells at day 10.By combining microgrooved substrate with an optimized culture protocol,the conversion from fibroblasts to cardiomyocytes is increased through genetic changes and structural organization of sarcomeres[3].Besides biomaterial topography,recent studies have demonstrated the effects of matrix stiffness on cell reprogramming.For example,a decrease of substrate stiffness can improve the iPSCs reprogramming efficiency,while an intermediate stiffness can significantly enhance the efficiency of neuronal reprogramming [4].Further analysis suggests that intracellular biomechanical changes play an important role in reprogramming process.Cells interact with the biophysical factors in the microenvironment through an'inside-out'and'outside-in'feedback loop,which is mediated by focal adhesions and cytoskeleton [5].Therefore,we investigated the role of the intracellular mechanical structure in cell reprogramming.We showed,for the first time,that the mechanical property of cells was modulated during the early phase of reprogramming as determined by atomic force microscopy(AFM)and high-throughput quantitative deformability cytometry(q-DC).We observed that cell stiffness increased by day 1 during reprogramming process,which was followed by a pronounced decrease within a few days.Examination of actin cytoskeleton showed that actin assembled into a network with a cage-like structure around the nucleus by day 1,but this structure along with the majority of the cytoskeleton gradually disappeared,coinciding with the changes in intracellular mechanical property.Furthermore,inhibition of actin contractility by using small molecules significantly altered the reprogramming efficiency.These findings provide new insights into the mechanisms of how biophysical cues modulate cell fate.In any given physiological microenvironment,cells may experience various of biophysical inputs,which,as we show,may affect cell phenotype changes.展开更多
Biophysical characterization has become an important experimental approach to understanding new details of the important structure-function relationship of
Reedbed in the UK has been classified as priority habitat for most regional Biodiversity Partnerships.However,critical information pertaining to the quality and spatial coverage of reedbed is currently lacking.This pa...Reedbed in the UK has been classified as priority habitat for most regional Biodiversity Partnerships.However,critical information pertaining to the quality and spatial coverage of reedbed is currently lacking.This paper presents the results of a project conducted in collaboration with the Cumbria Wildlife Trust and Environment Agency aimed at monitoring and understanding variations in the spectral reflectance and biophysical properties of reedbed canopies across Leighton Moss Nature Reserve in Lancashire,northwest England.Throughout the seasonal phenological cycle of the reedbed habitats in the study area,optimal spectral indices required for quantifying its biophysical properties were determined using field spectroscopy and ground-based measurements.Results of the experiment showed that the narrow-bandderived Difference Vegetation Index(DVI)and Renormalised Difference Vegetation Index(RDVI),with the correlation coefficient R2 of 0.77 and 0.72,respectively,provided the most accurate estimates of the leaf area index for the reedbed canopies.展开更多
Objective: To study whether the unexpected poor ovarian responders optimization of uterine receptivity with a flexible controlled ovarian hyper stimulation protocol based on the Biophysical Profile of the Uterus, has ...Objective: To study whether the unexpected poor ovarian responders optimization of uterine receptivity with a flexible controlled ovarian hyper stimulation protocol based on the Biophysical Profile of the Uterus, has an impact on their reproductive performance. Design: Observational Prospective study. Setting(s): i) General hospital-IVF and Infertility Centre;ii) University hospital. Patient(s): 44 normogonadotrophic young women (26 - 38 yrs) with previous “unexpected” poor ovarian response underwent IVF/ICSI treatment on a protocol based on the Biophysical Profile of their uterus (Group A). The same patients were used as controls in a preceded IVF cycle on the conventional stimulation protocol. Intervention(s): None. Main outcome measure(s): Pregnancy, miscarriage and home take baby rates, amount and duration of gonadotropins required, number and quality of embryos resulted, Biophysical Profile of the Uterus score. Result(s). Treatment in Group A in comparison to Group B resulted in significantly larger number of eggs retrieved per patient, and improved fertilization rates and higher number of embryos/ET (p = 0.011, 0.010 and 0.034 respectively). Group A also demonstrated a trend for higher rates of clinical pregnancy (29.5% v.s. 15.9%), viable stage pregnancies ≥ 24 weeks (33.3% v.s. 20%) and home take babies (26.6% v.s. 16%). The amount of gonadotropins used per patient (IU) was similar in the two groups (p = 0.264). Cancellation, implantation and miscarriage rates as well as embryos quality, although superior in the treatment Group A, showed no significant difference. The number of pregnancies achieved in Group A, were directly related with the score in the Biophysical Profile of the Uterus 12 point scale. Conclusion(s): Unexpected Poor Ovarian Responders on the flexible IVF/ICSI protocol (Group A), adjusting the management according to the Biophysical Profile of their uterus (duration of stimulation, day of HCG and day of embryo transfer), had a significantly better performance in comparison to the Group B managed on the conventional protocol in this difficult to manage and so far, rather understudied population.展开更多
Lack of sleep is a problem in today’s society, and many people are concerned about changes in their outward appearance due to lack of sleep. People generally come up with some noticeable skin attributes as symptoms o...Lack of sleep is a problem in today’s society, and many people are concerned about changes in their outward appearance due to lack of sleep. People generally come up with some noticeable skin attributes as symptoms of sleep deficiency including rough, dull, and dry skin as well as droopy eyelids and dark eye circles. Several previous reports also suggested that poor sleep could affect the skin condition. The purpose of this study was to evaluate the effect of one night of sleep deprivation on various skin biophysical properties. Twenty four healthy females participated in a study of one night of sleep deprivation. Subjects were kept awake for one night in a laboratory with controlled temperature and relative humidity. The skin condition of each subject was evaluated after normal sleep pattern and after one night of sleep deprivation. The measured skin biophysical parameters included transepidermal water loss, facial pore size, and skin tone, hydration, elasticity, desquamation, translucency, and blood flow. The cheek, eye, and lip areas were evaluated. After one night of sleep deprivation, multiple skin biophysical parameters showed changes when compared to the baseline measurements. A significant decrease in skin hydration and impaired barrier function were observed (p < 0.05). Decreased hydration led to decreased skin elasticity and translucency and increased skin scaling (p < 0.05). Facial pores were more conspicuous, and skin lightness decreased significantly (p < 0.05). Furthermore, skin blood flow decreased prominently (p < 0.05). The results demonstrated that the skin features that are recognized as symptoms of sleep deficiency actually showed remarkable differences after a period of sleep deprivation, and some of these features were confirmed in the eye, lip, as well as the cheek areas. This study revealed a significant association between sleep deprivation and skin biophysical properties by scientific measuring.展开更多
基金supported by the National Natural Science Foundation of China (Grant No.42305041)the Natural Science Foundation of Hubei Province of China (Grant No.2020CFB331)supported by the National Key Scientific and Technological Infrastructure project “Earth System Numerical Simulation Facility” (Earth Lab)。
文摘Global deforestation has been recognized as an important factor influencing climate change over the past century.However, uncertainties remain regarding its biophysical impacts on temperature across China. Utilizing monthly data from eight global climate models of the Land Use Model Intercomparison Project, a multimodel comparison was conducted to quantitatively analyze the biophysical impacts of global deforestation on near-surface air temperature in China, using a surface energy balance decomposition method. Results show a 38%(29% to 45%) reduction in forest cover in China(ensemble mean and range across eight models) relative to pre-industrial levels, and an annual cooling of 0.6 K(0.05 to1.4 K) accompanied by global deforestation. Notably, surface albedo causes a cooling effect of 0.6 K(0.2 to 2.0 K), while surface latent and sensible heat fluxes partially offset this cooling by 0.2 K(-0.2 to 0.5 K) and 0.2 K(-0.04 to 0.6 K),respectively. These effects are more pronounced in winter and spring in deforested regions. Furthermore, the separation of atmospheric feedbacks under clear-sky and cloudy conditions show that the cloud radiative effect only accounts for 0.1 K(-0.1 to 0.4 K), while the clear-sky surface downward radiation is a significant cooling factor, contributing up to-0.5 K(-1.2 to 0.004 K), particularly in summer. However, the consistency of these models in simulating the impact of surface latent heat flux and albedo on surface temperature in China in response to deforestation is somewhat poor, highlighting the need to improve these related processes.
基金supported by grants from the Special Foundation of President of the Chinese Academy of Sciences(Grant No.,YZJJ2020QN27,YZJJ2021QN33)Anhui Provincial Natural Science Foundation(Grant No.,2108085MC79).
文摘HCLS1-associated protein X-1(HAX1)is a multifunctional mitochondrial protein involved in the regulation of apoptosis,a crucial process of programmed cell death,and mRNA processing.Despite its significance,limited structural data is available for HAX1,hindering a comprehensive understanding of its biological function.Notably,the caseinolytic mitochondrial matrix peptidase chaperone subunit B(CLPB)has been identified as an interacting partner of HAX1,yet the biophysical properties and binding affinity governing their interaction remain poorly defined.In this study,we present a thorough biophysical characterization of full-length human HAX1 and CLPB,accomplished through recombinant expression and purification.By employing size exclusion chromatography,dynamic light scattering,and circular dichroism spectroscopy,we successfully established their biophysical properties,revealing contrasting structural features,with CLPB displaying a-helical content and HAX1 exhibiting a disordered nature.Moreover,we employed solutionstate nuclear magnetic resonance(NMR)spectroscopy to probe their binding affinity.Our findings demonstrate the formation of stable multimeric complexes between HAX1 and CLPB,and we quantified a dissociation constant in the low range of micro-molar for their high affinity interaction.These results lay the foundation for further in-depth investigations into the dynamics and energetics governing the HAX1-CLPB interaction,ultimately contributing to a comprehensive understanding of their functional mechanisms.
基金supported by the Strategic Pri-ority Research Program(A)of the Chinese Academy of Sciences(Grant No.XDA28080503)the National Natural Science Foundation of China(Grant No.42071025)+1 种基金the Youth Innovation Promotion Associa-tion of Chinese Academy of Sciences(Grant No.2023240)the Pacific Northwest National Laboratory which is operated for DOE by Battelle Memorial Institute under Contract DE-A06-76RLO 1830.
文摘Phenology shifts influence regional climate by altering energy,and water fluxes through biophysical processes.However,a quantitative understanding of the phenological control on vegetation’s biophysical feedbacks to re gional climate remains elusive.Using long-term remote sensing observations and Weather Research and Fore casting(WRF)model simulations,we investigated vegetation phenology changes from 2003 to 2020 and quan tified their biophysical controls on the regional climate in Northeast China.Our findings elucidated that earlier green-up contributed to a prolonged growing season in forests,while advanced green-up and delayed dormancy extended the growing season in croplands.This prolonged presence and increased maximum green cover in tensified climate-vegetation interactions,resulting in more significant surface cooling in croplands compared to forests.Surface cooling from forest phenology changes was prominent during May’s green-up(-0.53±0.07°C),while crop phenology changes induced cooling throughout the growing season,particularly in June(-0.47±0.15°C),July(-0.48±0.11°C),and September(-0.28±0.09°C).Furthermore,we unraveled the contributions of different biophysical pathways to temperature feedback using a two-resistance attribution model,with aero dynamic resistance emerging as the dominant factor.Crucially,our findings underscored that the land surface temperature(LST)sensitivity,exhibited substantially higher values in croplands rather than temperate forests.These strong sensitivities,coupled with the projected continuation of phenology shifts,portend further growing season cooling in croplands.These findings contribute to a more comprehensive understanding of the intricate feedback mechanisms between vegetation phenology and surface temperature,emphasizing the significance of vegetation phenology dynamics in shaping regional climate pattern and seasonality.
基金Project supported by the National Natural Science Foundation of China (No.40571115)the National High Tech-nology Research and Development Program (863 Program) of China (Nos.2006AA120101 and 2007AA10Z205)
文摘The radial basis function （RBF） emerged as a variant of artificial neural network. Generalized regression neural network （GRNN） is one type of RBF, and its principal advantages are that it can quickly learn and rapidly converge to the optimal regression surface with large number of data sets. Hyperspectral reflectance （350 to 2500 nm） data were recorded at two different rice sites in two experiment fields with two cultivars, three nitrogen treatments and one plant density （45 plants m^-2）. Stepwise multivariable regression model （SMR） and RBF were used to compare their predictability for the leaf area index （LAI） and green leaf chlorophyll density （GLCD） of rice based on reflectance （R） and its three different transformations, the first derivative reflectance （D1）, the second derivative reflectance （D2） and the log-transformed reflectance （LOG）. GRNN based on D1 was the best model for the prediction of rice LAI and CLCD. The relationships between different transformations of reflectance and rice parameters could be further improved when RBF was employed. Owing to its strong capacity for nonlinear mapping and good robustness, GRNN could maximize the sensitivity to chlorophyll content using D1. It is concluded that RBF may provide a useful exploratory and predictive tool for the estimation of rice biophysical parameters.
基金China Postdoctoral Science Foundation, No.2016M601115 National Natural Science Foundation of China, No.41571088, No.41371002
文摘Response and feedback of land surface research priorities in the field of geoscience. The process to climate change is one of the current study paid more attention to the impacts of global change on land surface process, but the feedback of land surface process to climate change has been poorly understood. It is becoming more and more meaningful under the framework of Earth system science to understand systematically the relationships between agricultural phenology dynamic and biophysical process, as well as the feedback on climate. In this paper, we summarized the research progress in this field, including the fact of agricultural phenology change, parameterization of phenology dynamic in land surface progress model, the influence of agricultural phenology dynamic on biophysical process, as well as its feedback on climate. The results showed that the agriculture phenophase, represented by the key phenological phases such as sowing, flowering and maturity, had shifted significantly due to the impacts of climate change and agronomic management. The digital expressions of land surface dynamic process, as well as the biophysical process and atmospheric process, were improved by coupling phenology dynamic in land surface model. The agricultural phenology dynamic had influenced net radiation, latent heat, sensible heat, albedo, temperature, precipitation, circulation, playing an important role in the surface energy partitioning and climate feedback. Considering the importance of agricultural phenology dynamic in land surface biophysical process and climate feedback, the following research priorities should be stressed： （1） the interactions between climate change and land surface phenology dynamic; （2） the relations between agricultural phenology dynamic and land surface reflectivity at different spectrums; （3） the contributions of crop physiology characteristic changes to land surface biophysical process; （4） the regional differences of climate feedbacks from phenology dynamic in different climate zones. This review is helpful to accelerate understanding of the role of agricultural phenology dynamic in land surface process and climate feedback.
文摘DMSP/OLS nighttime light （NTL） image is a widely used data source for urbaniza- tion studies. Although OLS NTL data are able to map nighttime luminosity, the identification accuracy of distribution of urban areas （UAD） is limited by the overestimation of the lit areas resulting from the coarse spatial resolution. In view of geographical condition, we integrate NTL with Biophysical Composition Index （BCl） and propose a new spectral index, the BCl Assisted NTL Index （BANI） to capture UAD. Comparisons between BANI approach and NDVl-assisted SVM classification are carried out using UAD extracted from Landsat TM/ETM＋ data as reference. Results show that BANI is capable of improving the accuracy of UAD extraction using NTL data. The average overall accuracy （OA） and Kappa coefficient of sample cities increased from 88.53% to 95.10% and from 0.56 to 0.84, respectively. Moreover with regard to cities with more mixed land covers, the accuracy of extraction results is high and the improvement is obvious. For other cities, the accuracy also increased to varying de- grees. Hence, BANI approach could achieve better UAD extraction results compared with NDVl-assisted SVM method, suggesting that the proposed method is a reliable alternative method for a large-scale urbanization study in China＇s mainland.
基金The National Natural Science Foundation of China(NSFC)under contract Nos 41276186,41506015 and 41606038the NSFC-Shandong Joint Fund for Marine Science Research Centers under contract No.U1606405the Postdoctoral Innovation Foundation of Shandong Province under contract No.201502031
文摘Algal blooms caused by Prorocentrum donghaiense occurred frequently in the East China Sea （ECS） during spring in recent years. In this study, a coupled biophysical model was used to hindcast a massive P. donghaiense bloom that occurred in 2005 and to determine the factors influencing bloom initiation and development. The model comprised the Regional Ocean Modeling System tailored for the ECS that utilized a multi-nested configuration and a population dynamics model for 19. donghaiense. Comparisons between simulations and observations revealed that the biological model is capable of reproducing the characteristics of 19. donghaiense growth under different irradiances and phosphorus limitation scenarios. The variation of intracellular phosphorus and the effects of 19. donghaiense on ambient nutrients conditions were also reproduced. The biophysical model hindcasted the hydrodynamics and spatiotemporal distributions of the P. donghaiense bloom reasonably well. Bloom development was consistent with observations reported in earlier studies. The results demonstrate the capability of the model in capturing subsurface incubation during bloom initiation. Then model＇s hindcast solutions were further used to diagnose the factors controlling the vertical distribution. Phosphate appeared to be one of the factors controlling the subsurface incubation, whereas surface wind fields played an important role in determining P. donghaiense distribution. The results highlight the importance of nutrient-limitation as a mechanism in the formation of P. donghaiense subsurface layers and the dispersing of P. donghaiense blooms. This coupled biophysical model should be improved and used to investigate 19. donghaiense blooms occurring in different scenarios.
基金The National Natural Science Foundation of China under contract Nos 41276186,41506015 and 41606038the NSFC-Shandong Joint Fund for Marine Science Research Centers under contract No.U1406404the Postdoctoral Innovation Foundation of Shandong Province under contract No.201502031
文摘In the East China Sea(ECS), the succession of causative species responsible for blooms is a recurrent phenomenon during the spring, which changes from diatoms to dinoflagellates. Observations from space and in situ cruises captured this pattern of succession during spring of 2005. In this study, we coupled two biological models, which were developed previously for Skeletonema costatum and Prorocentrum donghaiense,into a circulation model tailored for the ECS. The coupled biophysical model was used to hindcast the blooms and to test the hypothesis proposed in earlier studies that phosphate(PO4 3–) is the first-order decider of the succession. The coupled model successfully reproduced the hydrodynamics(as described in a companion paper by Sun et al.(1), the spatiotemporal distribution of the chlorophyll a(Chl a) concentration, and the species succession reasonably well. By analyzing the effects of different factors on the surface Chl a distribution, we confirmed that the offshore boundaries of the blooms were confined by PO4 3–. In addition, we suggest that surface wind fields may modulate the horizontal distribution of blooms. Thus, during the dispersal of blooms, surface winds coupled with PO4 3– may control the succession of blooms in the ECS. The proposed coupled model provides a benchmark to facilitate future improvements by including more size classes for organisms, multiple nutrient schemes, and additional processes.
基金Project(2007CB714407) supported by the Major State Basic Research and Development Program of ChinaProject(2004DFA06300) supported by Key International Collaboration Project in Science and TechnologyProjects(40571107, 40701102) supported by the National Natural Science Foundation of China
文摘In order to improve the accuracy of biophysical parameters retrieved from remotely sensing data, a new algorithm was presented by using spatial contextual to estimate canopy variables from high-resolution remote sensing images. The developed algorithm was used for inversion of leaf area index (LAI) from Enhanced Thematic Mapper Plus (ETM+) data by combining with optimization method to minimize cost functions. The results show that the distribution of LAI is spatially consistent with the false composition imagery from ETM+ and the accuracy of LAI is significantly improved over the results retrieved by the conventional pixelwise retrieval methods, demonstrating that this method can be reliably used to integrate spatial contextual information for inverting LAI from high-resolution remote sensing images.
基金the support of the Ministry of Environment & Forests(MoEF),Government of India (GoI) (Project Serial Number:R&D/NNRMS/2/2013-14)
文摘With the growing recognition to myriad forms of current and future threats in the mountain agriculture systems,there is a pressing need to holistically understand the vulnerability of mountain agriculture communities.The study aims to assess the biophysical and social vulnerability of agriculture communities using an indicator-based approach for the state of Uttarakhand,India.A total of 14 indicators were used to capture biophysical vulnerability and 22 for social vulnerability profiles of15285 villages.Vulnerability analysis was done at village level with weights assigned to each indicator using Analytical Hierarchical Process(AHP).The results of the study highlight the presence of very high biophysical vulnerability(0.82 ± 0.10) and high social vulnerability(0.65 ± 0.15) within the state.Based on the results,it was found that incidences of high biophysical vulnerability coincide with presence of intensified agriculture land and absence of dense forest.Higher social vulnerability scores were found in villages with an absence of local institutions(like Self Helping Groups(SHGs)),negligible infrastructure facilities and higher occupational dependence on agriculture.A contrast was observed in the vulnerability scores of villages present in the three different altitudinal zones in the study area,indicating respective vulnerability generating conditions existing in these three zones.Biophysical vulnerability was recorded to be highest in the villages falling in the lower zone and lowest in the upper zone villages;whereas,social vulnerability was found to be highest in the middle zone villages and lowest in lower zone villages.Our study aids policy makers in identifying areas for intervention to expedite agriculture adaptation planning in the state.Additionally,the adaptation programmes in the region need to be more context-specific to accommodate the differential altitudinal vulnerability profiles.
文摘The common acupoints and meridians for gynecology as well as their biophysical characteristics were summarized,the importance of biophysical characteristics for common meridians and acupoints were pointed out,some new research fields for fundamental study on common acupoints in gynecology were put forward,such as proteomics,genomics,transcriptomics,and other fields,and further evidence support for large-sample randomized controlled trials were appealed.
基金This paper was supported by European Space Agency(ESA)contract 4000121195-Ministry of Science and Technology(MOST),Dragon 4 cooperation(ID:32275).Specifically,Subproject1-Topic1“Algorithm Development Exploiting Multitemporal and Multi Sensor Satellite Data for Improving Crop Classification,Biophysical and Agronomic Variables Retrieval and Yield Prediction”and by the Italian Space Agency(ASI)project PRISCAV(PRISMA Calibration/Validation).
文摘This paper is devoted to the development and testing of the optimal procedures for retrieving biophysical crop variables by exploiting the spectral information of current multispectral optical satellite Sentinel-2 and Venus and in view of the advent of the new Sino-EU hyperspectral satellite(e.g.,PRISMA,EnMAP,and GF-5).Two different methodologies devoted to the estimation of biophysical crop variables Leaf area index(LAI)and Leaf chlorophyll content(Cab)were evaluated:non-kernel-based and kernel-based Machine Learning Regression Algorithms(MLRA);Sentinel-2 and Venus data comparison for the analysis of the durum wheat-growing season.Results show that for Sentinel-2 data,Gaussian Process Regression(GPR)was the best performing algorithm for both LAI(R 2=0.89 and RMSE=0.59)and Cab(R 2=0.70 and RMSE=8.31).Whereas,for PRISMA simulated data the Kernel Ridge Regression(KRR)was the best performing algorithm among all the other MLRA(R 2=0.91 and RMSE=0.51)for LAI and(R 2=0.83 and RMSE=6.09)for Cab,respectively.Results of Sentinel-2 and Venus data for durum wheat-growing season were consistent with ground truth data and confirm also that SWIR bands,which are used as tie-points in the PROSAIL inversion,are extremely useful for an accurate retrieving of crop biophysical parameters.
基金Supported by the National Natural Science Foundation of China (No.40771198)the Hunan Provincial Natural Science Foundation of China (No.08JJ6023)
文摘This study assesses surface urban heat island (UHI) and its associated surface physical characteristics using remote sensing approaches. TERRA/MODIS images acquired in 2005 in three different seasons were selected to generate land surface tem-perature and surface characteristics for the Changsha-Zhuzhou-Xiangtan metropolitan area in China. The intensity of urban heat is-land effects and its seasonal variations were examined. The result showed that UHI effects were significant both in the summer and the spring. Land surface temperatures in the city were 8 ℃ to 10℃ warmer than those in surrounding rural areas in the spring and the summer seasons. Although UHI effects exist in winter, they are not significant. Land surface temperature in the city was 4℃ warmer than that in surrounding rural areas in winter. This study uses normalized difference vegetation index (NDVI) and normal-ized difference built-up index (NDBI) as indicators of surface physical characteristics and investigates the relationship among land surface temperature (LST), NDVI and NDBI. The results from this study indicate that, while the relationship between LST and NDVI changes in different seasons, there is a strong positive linear relationship between NDBI and LST for all seasons. The amount of slope and intercept of the linear relationship between NDBI and LST can indicate the magnitude of UHI for different seasons. This finding suggests that NDBI provides an alternative physical indicator for analyzing LST quantitatively over different seasons, and therefore providing a useful way to study UHI effects using remote sensing.
基金funded by the Serbian Ministry of Science and Technology under the project No.III 43007“Research of climate changes and their impact on environment.Monitoring of the impact,adaptation and moderation”for 2011-2014.
文摘The field of environmental sciences is abundant with various interfaces and is the right place for the application of new fundamental approaches leading towards a better understanding of environmental phenomena. Following the definition of environmental interface by Mihailovic and Bala? [1], such interface can be, for example, placed between: human or animal bodies and surrounding air, aquatic species and water and air around them, and natural or artificially built surfaces (vegetation, ice, snow, barren soil, water, urban communities) and the atmosphere, cells and surrounding environment, etc. Complex environmental interface systems are (i) open and hierarchically organised (ii) interactions between their constituent parts are nonlinear, and (iii) their interaction with the surrounding environment is noisy. These systems are therefore very sensitive to initial conditions, deterministic external perturbations and random fluctuations always present in nature. The study of noisy non-equilibrium processes is fundamental for modelling the dynamics of environmental interface regarded as biophysical complex system and for understanding the mechanisms of spatio-temporal pattern formation in contemporary environmental sciences. In this paper we will investigate an aspect of dynamics of energy flow based on the energy balance equation. The energy exchange between interacting environmen- tal interfaces regarded as biophysical complex systems can be represented by coupled maps. Therefore, we will numerically investigate coupled maps representing that exchange. In ana- lysis of behaviour of these maps we applied Lyapunov exponent and cross sample entropy.
基金funded by the National Natural Science Foundation of China ( 31660258,31771014, 31860262,31570938,31260227)the Science and Technology Foundation of Guizhou Province ( 2019-2787,2018-1412, 2016-5676,2017-5718)+2 种基金the Science and Technology Innovative Talent Team of Guizhou Province ( 2015-4021)the 2011 Collaborative Innovation Program of Guizhou Province ( 2015-04 )the Cell and Gene Engineering Innovative Research Groups of Guizhou Province ( KY-2016-031)
文摘Background Dendritic cells(DCs)are the most important antigen-presenting cells due to their professional and extremely efficient antigen-presenting function.The dynamics of cytoskeleton plays crucial regulated roles on DCs’immune functions and biophysical properties.Several evidences show that tumor-derived suppressive cytokines deteriorate DCs’immune functions through remodeling their F-actin cytoskeleton.But the underlying mechanism is still elusive.Tropomodulin1(Tmod1),a cytoskeleton-binding protein,regulates and stabilizes actin filaments lengths and cytoskeleton architecture,which involves in the regulations of the morphology,formation of neural dendrites and biophysical properties of cells.Our previous studies found that mature DCs(mDCs)had a higher expression of Tmod1 than immature DCs(imDCs). Therefore,it’s hypothesized that Tmod1 maybe involve in the modification of DCs’functions.Objective The aim of the study is to investigate the effects of Tmodl on the immune functions and biophysical properties of DCs and the underlying mechanisms in order to further understand the biological behaviors of DCs.Methods Bone marrow-derived cells were harvested from wild type(C57BL/6 J)mice and Tmod1 knockout mice(Tmod1 overexpressing transgenic(TOT)/Tmod1-/-)and differentiated to immature dendritic cells(imDCs)by rmGM-CSF and rmIL-4.imDCs were then matured by lipopolysaccharides(LPS)treatment.The expressions of the surface markers in DCs,including CD80,CD86,CD40,MHC-Ⅱand CCR7,were detected by flow cytometry,Western blot and qRT-PCR.The inflammation cytokines such as IL-6,IFN-γ,IFN-βand IL-10 were also detected by flow cytometry.The immune functions and the biophysical properties of DCs were compared between the wild type and Tmod1 knockout mice.The F-actin content and dendritic pseudopodia of these two kinds of DCs were detected by flow cytometry and laser scanning confocal microscope respectively.Finally,we detected the MyD88 dependent and independent signaling pathway to discover the molecular mechanisms.Results We found that Tmod1-deficient mDCs showed deficient antigen-presenting ability and they failed to express enough MHC-Ⅱ,co-stimulated molecules(CD80/86,CD40)and CCR7 on their cell surface.The secretions of the inflammatory cytokines IL-6 and IFN-γwere decreased while the anti-inflammatory cytokines IFN-βand IL-10 were increased in the supernatant of Tmod1-deficient mDCs.As compared to DCs of wild type mice,the migration ability of DCs from Tmod1 knockout mice were dramatically damaged including their free migration and CCL19 mediated chemotaxis migration.However,we found that Tmod1 knockout had no effects on the imDCs’endocytosis ability.Furthermore,Tmod1 knockout DCs showed higher osmotic fragility,lower Young’s modulus,less F-actin content and shorter dendritic pseudopodia.Under LPS stimulation,the phosphorylation level of p65 and p38 were significantly downregulated in Tmod1 knockout mice while the expression of p-IRF3 was upregulated.Conclusions These results indicated that Tmodl knockout leads to deficient antigen-presenting ability and impaired migration of DCs as well as their biophysical properties.The underlying mechanisms are due to the inhibitions of the TLR4-mediated NF-κB and p38 MAPK singling pathway and the activation of the IRF3 signaling pathway,as well as the disturbed reorganization of the F-actin cytoskeleton.Our results provide a new insight on the functions of Tmod1 which can affect the DCs’immune functions and biophysical properties through regulating the TLR4-mediated singling pathways and cytoskeleton remodeling.
基金supported in part by a grant from the National Institute of Health ( HL121450)UCLA Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research Innovation Award
文摘Cell reprograming technologies have broad applications in cell therapy,disease modeling and drug screening.Direct reprogramming is the process of converting from one cell type into a very distantly related cell type.In this direct conversion process,cells do not proceed through a pluripotent stage,which can be time-consuming and challenging due to spontaneous differentiation.This method also offers the advantage of circumventing the teratoma potential that is associated with using iPSCs.Previous works have demonstrated that with the use of genetic manipulation,fibroblasts can be directly converted into other cell types,including neurons,cardiomyocytes,blood cell progenitors,and hepatocytes.It is well known that the microenvironment can directs cell fate,and in turn cells interact with or remodel their niches.Accumulative evidence suggests that biophysical factors such as the microtopography and mechanical property of cell adhesive substrates regulate a variety of cellular functions such as migration,proliferation and differentiation,which in turn can modulate wound healing,tissue remodeling and tumor growth,but there are limited number of studies on the roles of biophysical cues in cell reprogramming[1].Passive topographical cues offer a simple and effective method to improve reprogramming efficiency without the need for biochemical manipulations.Our previous study has demonstrated that somatic cells cultured on the parallel microgrooves,which can replace the effects of small-molecule epigenetic modifiers and significantly improve the iPSCs reprogramming efficiency.The mechanism relies on the mechanomodulation of the cells’epigenetic state,specifically,an increase of histone H3 acetylation and H3K4 methylation[2].Additionally,in cardiomyocytes reprogramming study,culturing the fibroblasts on microgrooved substrate enhances the expression of cardiomyocyte genes by day 2 and improves the yield of partially reprogrammed cells at day 10.By combining microgrooved substrate with an optimized culture protocol,the conversion from fibroblasts to cardiomyocytes is increased through genetic changes and structural organization of sarcomeres[3].Besides biomaterial topography,recent studies have demonstrated the effects of matrix stiffness on cell reprogramming.For example,a decrease of substrate stiffness can improve the iPSCs reprogramming efficiency,while an intermediate stiffness can significantly enhance the efficiency of neuronal reprogramming [4].Further analysis suggests that intracellular biomechanical changes play an important role in reprogramming process.Cells interact with the biophysical factors in the microenvironment through an'inside-out'and'outside-in'feedback loop,which is mediated by focal adhesions and cytoskeleton [5].Therefore,we investigated the role of the intracellular mechanical structure in cell reprogramming.We showed,for the first time,that the mechanical property of cells was modulated during the early phase of reprogramming as determined by atomic force microscopy(AFM)and high-throughput quantitative deformability cytometry(q-DC).We observed that cell stiffness increased by day 1 during reprogramming process,which was followed by a pronounced decrease within a few days.Examination of actin cytoskeleton showed that actin assembled into a network with a cage-like structure around the nucleus by day 1,but this structure along with the majority of the cytoskeleton gradually disappeared,coinciding with the changes in intracellular mechanical property.Furthermore,inhibition of actin contractility by using small molecules significantly altered the reprogramming efficiency.These findings provide new insights into the mechanisms of how biophysical cues modulate cell fate.In any given physiological microenvironment,cells may experience various of biophysical inputs,which,as we show,may affect cell phenotype changes.
文摘Biophysical characterization has become an important experimental approach to understanding new details of the important structure-function relationship of
基金This work was supported by the Cumbria Wildlife Trust,Environment Agency and Petroleum Technology Development Fund[grant number:GB09/05].
文摘Reedbed in the UK has been classified as priority habitat for most regional Biodiversity Partnerships.However,critical information pertaining to the quality and spatial coverage of reedbed is currently lacking.This paper presents the results of a project conducted in collaboration with the Cumbria Wildlife Trust and Environment Agency aimed at monitoring and understanding variations in the spectral reflectance and biophysical properties of reedbed canopies across Leighton Moss Nature Reserve in Lancashire,northwest England.Throughout the seasonal phenological cycle of the reedbed habitats in the study area,optimal spectral indices required for quantifying its biophysical properties were determined using field spectroscopy and ground-based measurements.Results of the experiment showed that the narrow-bandderived Difference Vegetation Index(DVI)and Renormalised Difference Vegetation Index(RDVI),with the correlation coefficient R2 of 0.77 and 0.72,respectively,provided the most accurate estimates of the leaf area index for the reedbed canopies.
文摘Objective: To study whether the unexpected poor ovarian responders optimization of uterine receptivity with a flexible controlled ovarian hyper stimulation protocol based on the Biophysical Profile of the Uterus, has an impact on their reproductive performance. Design: Observational Prospective study. Setting(s): i) General hospital-IVF and Infertility Centre;ii) University hospital. Patient(s): 44 normogonadotrophic young women (26 - 38 yrs) with previous “unexpected” poor ovarian response underwent IVF/ICSI treatment on a protocol based on the Biophysical Profile of their uterus (Group A). The same patients were used as controls in a preceded IVF cycle on the conventional stimulation protocol. Intervention(s): None. Main outcome measure(s): Pregnancy, miscarriage and home take baby rates, amount and duration of gonadotropins required, number and quality of embryos resulted, Biophysical Profile of the Uterus score. Result(s). Treatment in Group A in comparison to Group B resulted in significantly larger number of eggs retrieved per patient, and improved fertilization rates and higher number of embryos/ET (p = 0.011, 0.010 and 0.034 respectively). Group A also demonstrated a trend for higher rates of clinical pregnancy (29.5% v.s. 15.9%), viable stage pregnancies ≥ 24 weeks (33.3% v.s. 20%) and home take babies (26.6% v.s. 16%). The amount of gonadotropins used per patient (IU) was similar in the two groups (p = 0.264). Cancellation, implantation and miscarriage rates as well as embryos quality, although superior in the treatment Group A, showed no significant difference. The number of pregnancies achieved in Group A, were directly related with the score in the Biophysical Profile of the Uterus 12 point scale. Conclusion(s): Unexpected Poor Ovarian Responders on the flexible IVF/ICSI protocol (Group A), adjusting the management according to the Biophysical Profile of their uterus (duration of stimulation, day of HCG and day of embryo transfer), had a significantly better performance in comparison to the Group B managed on the conventional protocol in this difficult to manage and so far, rather understudied population.
文摘Lack of sleep is a problem in today’s society, and many people are concerned about changes in their outward appearance due to lack of sleep. People generally come up with some noticeable skin attributes as symptoms of sleep deficiency including rough, dull, and dry skin as well as droopy eyelids and dark eye circles. Several previous reports also suggested that poor sleep could affect the skin condition. The purpose of this study was to evaluate the effect of one night of sleep deprivation on various skin biophysical properties. Twenty four healthy females participated in a study of one night of sleep deprivation. Subjects were kept awake for one night in a laboratory with controlled temperature and relative humidity. The skin condition of each subject was evaluated after normal sleep pattern and after one night of sleep deprivation. The measured skin biophysical parameters included transepidermal water loss, facial pore size, and skin tone, hydration, elasticity, desquamation, translucency, and blood flow. The cheek, eye, and lip areas were evaluated. After one night of sleep deprivation, multiple skin biophysical parameters showed changes when compared to the baseline measurements. A significant decrease in skin hydration and impaired barrier function were observed (p < 0.05). Decreased hydration led to decreased skin elasticity and translucency and increased skin scaling (p < 0.05). Facial pores were more conspicuous, and skin lightness decreased significantly (p < 0.05). Furthermore, skin blood flow decreased prominently (p < 0.05). The results demonstrated that the skin features that are recognized as symptoms of sleep deficiency actually showed remarkable differences after a period of sleep deprivation, and some of these features were confirmed in the eye, lip, as well as the cheek areas. This study revealed a significant association between sleep deprivation and skin biophysical properties by scientific measuring.
