Multiple endocrine neoplasia type 2A （MEN2A）, a subtype of MEN2, is characterized by medullary thyroid cancer, pheochromocytoma, and primary hyperparathyroidism. A Han Chinese pedigree with MEN2A was investigated fo...Multiple endocrine neoplasia type 2A （MEN2A）, a subtype of MEN2, is characterized by medullary thyroid cancer, pheochromocytoma, and primary hyperparathyroidism. A Han Chinese pedigree with MEN2A was investigated following confirmation of the proband＇s diagnosis by pathological findings and DNA/biochemical screening. DNA samples from 4 other family members were collected and exon 5, 8, 10, 11, 13, 16 and 18 of the RET proto-oncogene were sequenced and then analyzed. A missense mutation of TGG （Trp） to TGC （Cys） at codon 634 （the classic MEN2A mutation） in exon 11 of the RET gene was detected in 3 family members, including the proband. Sequencing data were compared with the human gene mutation database. Elevated serum calcitonin level was detected initially; medullary thyroid carcinoma was revealed in the 3 cases and adrenal pheochromocytoma was also found in the proband. Elective operations were successfully performed on the adrenal and thyroid glands because of pheochromocytoma and medullary thyroid carcinoma. Our case study confirms that integrated DNA-based/biochemical screening is crucial for early diagnosis of MEN2A and is helpful in the screening of their relatives. In addition, DNA-based screening may occasionally uncover a previously unknown RET sequence.展开更多
An electrochemical sensor incorporating a signal enhancement for the determination of lead （II） ions （Pb2＋） was designed on the basis of the thrombin-binding aptamer （TBA） as a molecular recog- nition element a...An electrochemical sensor incorporating a signal enhancement for the determination of lead （II） ions （Pb2＋） was designed on the basis of the thrombin-binding aptamer （TBA） as a molecular recog- nition element and ionic liquid supported cerium oxide （CeO2） nanoparticles-carbon nanotubes compo- site modification. The composite comprises nanoparticles CeO2, multi-waU carbon nanotubes （MWNTs） and hydrophobic room temperature ionic liquid （RTIL） 1-ethyl-3-methylimidazolium tetrafluoroborate （EMIMBF4）. The electrochemical sensors were fabricated by immersing the CeOa-MWNTs-EMIMBF4 modified glassy carbon electrode （GCE） into the solution of TBA probe. In the presence of Pb2＋, the TBA probe could form stable G-quartet structure by the specific binding interactions between Pb2＋ and TBA. The TBA-bound Pb2＋ can be electrochemically reduced, which provides a readout signal for quantitative detection of Pb2＋. The reduction peak current is linearly related to the concentration of Pb2＋ from 1.0 ＊ 10-8 M to 1.0 ＊ 105 M with a detection limit of 5 ＊ 109 M. This work demonstrates that the CeOz-MWNTs-EMIMBF4 nanocomposite modified GCE provides a promising platform for immobi- lizing the TBA probe and enhancing the sensitivity of the DNA-based sensors.展开更多
DNA-based hydrogels are exceptional materials for biological applications because of their numerous advantages such as biodegradability,biocompatibility,hydrophilicity,super absorbency,porosity,and swelling.Among thes...DNA-based hydrogels are exceptional materials for biological applications because of their numerous advantages such as biodegradability,biocompatibility,hydrophilicity,super absorbency,porosity,and swelling.Among these advantages,the ability of DNA-based hydrogels to respond to specific physical and chemical triggers and undergo reversible phase transitions has garnered significant attention in the fields of disease diagnosis(biosensors)and treatment(drug delivery).This article focuses on the recent advancements in the research of DNA-based hydrogels and discusses the different types of these hydrogels,the synthetic methods,their unique properties,and their applications in biosensors and drug delivery.The types of DNA hydrogels are categorized based on their building blocks,and the process of synthesis as well as the unique characteristics of DNA-based hydrogels are described.Then,DNA-based responsive hydrogels utilized as intelligent materials for the development of biosensors are reviewed.Furthermore,this article also presents the current status of DNA-based responsive hydrogels in drug delivery for cancer treatment,wound healing,and other therapeutic applications.Ultimately,this paper discusses the current challenges in expanding the practical application of DNA-based hydrogels.展开更多
This paper discusses the design of the queue for DNA-based computer on the point view of data structure. The nucleotide encodings for all components of the queue are given out formally. The linear double-stranded DNA ...This paper discusses the design of the queue for DNA-based computer on the point view of data structure. The nucleotide encodings for all components of the queue are given out formally. The linear double-stranded DNA molecules are used as the storage structure of the queue, and the basic bio-operations over the queue are described. Furthermore, the comparison between the queue of the electronic computer and that of DNA-based computer are elucidated. To prove the feasibility of our work, nucleotide encodings for an instance of queue are given out. All the biological technology mentioned in this paper can be practically implemented in the laboratory. Based on this work, other data structures could be developed in DNA-based computer.展开更多
The advent of 5G technology has significantly enhanced the transmission of images over networks,expanding data accessibility and exposure across various applications in digital technology and social media.Consequently...The advent of 5G technology has significantly enhanced the transmission of images over networks,expanding data accessibility and exposure across various applications in digital technology and social media.Consequently,the protection of sensitive data has become increasingly critical.Regardless of the complexity of the encryption algorithm used,a robust and highly secure encryption key is essential,with randomness and key space being crucial factors.This paper proposes a new Robust Deoxyribonucleic Acid(RDNA)nucleotide-based encryption method.The RDNA encryption method leverages the unique properties of DNA nucleotides,including their inherent randomness and extensive key space,to generate a highly secure encryption key.By employing transposition and substitution operations,the RDNA method ensures significant diffusion and confusion in the encrypted images.Additionally,it utilises a pseudorandom generation technique based on the random sequence of nucleotides in the DNA secret key.The performance of the RDNA encryption method is evaluated through various statistical and visual tests,and compared against established encryption methods such as 3DES,AES,and a DNA-based method.Experimental results demonstrate that the RDNA encryption method outperforms its rivals in the literature,and achieves superior performance in terms of information entropy,avalanche effect,encryption execution time,and correlation reduction,while maintaining competitive values for NMAE,PSNR,NPCR,and UACI.The high degree of randomness and sensitivity to key changes inherent in the RDNA method offers enhanced security,making it highly resistant to brute force and differential attacks.展开更多
In natural aquatic ecosystems,algal-derived organic carbon(AOC)often coexists with exogenous organic carbon(EOC).Microbial utilization of these distinct carbon sources affects carbon flux and transformation in water c...In natural aquatic ecosystems,algal-derived organic carbon(AOC)often coexists with exogenous organic carbon(EOC).Microbial utilization of these distinct carbon sources affects carbon flux and transformation in water column and algal growth.Microcystis blooms significantly increase AOC levels in water,but the microbial transformation process of Microcystis-derived AOC in the presence of EOC remain poorly understood.We conducted a simulated experiment by introducing^(13)C-sodium bicarbonate and^(13)C-glucose as substrates for indoor simulation of non-axenic Microcystis aeruginosa(M.aeruginosa)populations in a sealed system.The microbial transformation processes of AOC and EOC and their effects on M.aeruginosa growth were investigated.Results demonstrated that the addition of glucose accelerated M.aeruginosa growth and significantly increased their biomass.During the experiment,as the particulate organic carbon and nitrogen content increased,the concentrations of CO_(2)and N_(2)O were gradually decreased,while the concentration of CH4 were gradually increased.Significant differences were observed in the microbial processes involved in the uptake of AOC and EOC.Bacteria involved in AOC transformation throughout the growth period were dominated by Proteobacteria,Gemmatimonadota,Actinobacteriota,Bacteroidota,Acidobacteriota,and Firmicutes.The bacteria involved in EOC transformation were dominated by Proteobacteria,Actinobacteriota,Firmicutes,Cyanobacteria,Armatimonadota,and Bacteroidota.Linear discriminant analysis Effect Size(LEfSe)analysis revealed Massilia and Akkermansia as biomarkers involved in AOC transformation,while Ligilactobacillus was associated with EOC transformation.These findings provide valuable insights into the effects of EOC on algae-bacteria interaction,and on the dynamics of carbon and nitrogen cycling among M.aeruginosa and its associated bacteria.展开更多
Monitoring and analyzing expression levels of multiple biomarkers in biological samples can improve disease risk prediction and guide precision medicine but suffers from high cost and being time-consuming.Here,we cons...Monitoring and analyzing expression levels of multiple biomarkers in biological samples can improve disease risk prediction and guide precision medicine but suffers from high cost and being time-consuming.Here,we construct a fast molecular classifier based on freeze-thaw cycling that implements an in silico support vector machine(SVM)classifier model at the molecular level with a panel of disease-related biomarkers expression patterns for rapid disease diagnosis.The molecular classifier employs DNA reaction networks as the computing module and repeated dehydration and concentration process as the driving force to implement a set of simplified mathematical operations(such as multiplication,summation and subtraction)for efficient classification of complex input patterns.We demonstrate that the fast DNA-based molecular classifier enables precise cancer diagnosis within a short turnaround time in synthetic samples compared to those of free diffusion classifiers.We envision that this all-in-one molecular classifier will create more opportunities for inexpensive,accurate,and rapid disease diagnosis,prognosis and therapy,particularly in emergency departments or the point of care.展开更多
针对边缘计算环境中,边缘设备的计算和存储资源有限的问题,探讨高效的边云协同任务调度和资源缓存策略,研究自组织劳动分工群智能算法模型机理,并以此为基础,提出基于蜂群劳动分工“激发-抑制”模型的边云协同任务调度算法(edge cloud c...针对边缘计算环境中,边缘设备的计算和存储资源有限的问题,探讨高效的边云协同任务调度和资源缓存策略,研究自组织劳动分工群智能算法模型机理,并以此为基础,提出基于蜂群劳动分工“激发-抑制”模型的边云协同任务调度算法(edge cloud collaborative task scheduling algorithm based on bee colony labor division‘activator-inhibitor’model,ECCTS-BCLDAI)和基于蚁群劳动分工“刺激-响应”模型的边云协同资源缓存算法(edge cloud collaborative resource caching algorithm based on ant colony labor division‘stimulus-response’model,ECCRC-ACLDSR).仿真实验结果表明:所提出的ECCTS-BCLDAI任务调度算法在降低平均任务执行时长、减少边云协同费用上相较于传统算法有更好的表现;所提出的ECCRC-ACLDSR资源缓存算法在降低任务平均时长、优化网络带宽占用率、减少边云协同费用上相较于传统算法更具有优越性.展开更多
Toll-like receptors (TLRs) recognize specific motifs which are frequently present in bacteria, fungi, prokaryotes and viruses. Amongst TLRs, TLR9 can be activated by such bacterial or viral DNA fragments, immunoglobul...Toll-like receptors (TLRs) recognize specific motifs which are frequently present in bacteria, fungi, prokaryotes and viruses. Amongst TLRs, TLR9 can be activated by such bacterial or viral DNA fragments, immunoglobulin-DNA complexes or synthetic oligonucleotides, which all contain unmethylated cytosineguanine nucleotide sequences (CpGs). Emerging data indicate that TLR9 signaling has a role in, and may influence, colorectal carcinogenesis and colonic inflammation. CpGs are classified into three groups according to their influence on both the antigen-specific humoraland cellular immunity, and the production of type 1 interferons and proinflammatory cytokines. TLR9 activation via CpGs may serve as a new therapeutic target for several cancerous and various inflammatory conditions. Due to its probable anti-cancer effects, the application possibilities of TLR9-signaling modulation may be extremely diverse even in colorectal tumors. In this review we aimed to summarize the current knowledge about TLR-signaling in the pathogenesis and therapy of inflammatory bowel diseases and colorectal cancer. Due to the species-specific differences in TLR9 expression, however, one must be careful in translating the animal model data into the human system, because of the differences between CpG-oligodeoxynucleotide-responsive cells. TLR9 agonist DNA-based immunomodulatory sequences could also represent a promising therapeutic alternative in systemic inflammatory conditions and chronic colonic inflammations as their side effects are not significant.展开更多
Since the advent of sequencing technologies,the determination of microbial diversity to predict microbial functions,which are the major determinants of soil functions,has become a major topic of interest,as evidenced ...Since the advent of sequencing technologies,the determination of microbial diversity to predict microbial functions,which are the major determinants of soil functions,has become a major topic of interest,as evidenced by the 900 publications dealing with soil metagenome published up to 2017.However,the detection of a gene in soil does not mean that the relative function is expressed,and the presence of a particular taxon does not mean that the relative functions determined in pure culture also occur in the studied soil.Another critical step is to link microbial community composition or function to the product analyzed to determine flux rates.Indeed,flux rates might not only be highly dynamic,but several metabolites can depend on different reactions,which makes the link to one process of interest difficult or even impossible.This review also discusses biases caused by sampling,storage of samples,DNA extraction and purification,sequencing(amplicon-vs.metagenome sequencing),and bioinformatic data analysis.Insights and the limits of predicting microbial interactions by network inference methods are critically discussed,and finally,future directions for a better understanding of soil functions by using measurements of microbial diversity are presented.展开更多
Three plasmid expression vectors containing modified hepatitis B surface antigen (HBsAg) carrying pres epitopes were constructed. Transient expression after in vitro transfection in COS-M6 cells showed that under the ...Three plasmid expression vectors containing modified hepatitis B surface antigen (HBsAg) carrying pres epitopes were constructed. Transient expression after in vitro transfection in COS-M6 cells showed that under the transcriptional control of the human cytomegalovirus (CMV) immediate early promoter, fusion genes expressed the modified HBV envelope proteins which were efficiently secreted into culture medium and presented HBsAg, preS1 and preS2 antigenicity. DNA-based immunization with these plasmids carrying pres sequences induced anti-HBs antibody in BALB/c mice. The titers of anti-HBs antibody were higher than those appeared in mice immunized with plasmid carrying S gene only. DNA injection with plasmids containing preS1 sequences elicited also high titers of anti-preS1 antibody. Moreover, the antipreS1 antibodies were found to appear earlier than anti-HBs antibodies.展开更多
Most of the current analytical methods depend largely on laboratory-based analytical techniques that require expensive and bullky equipment,potentially incur costly testing,and involve lengthy detection processes.With...Most of the current analytical methods depend largely on laboratory-based analytical techniques that require expensive and bullky equipment,potentially incur costly testing,and involve lengthy detection processes.With increasing requirements for point-of-care testing(POCT),more attention has been paid to miniaturized analytical devices.Miniaturized electrochemical(MEC)sensors,including different material-based MEC sensors(such as DNA-,paper-,and screen electrode-based),have been in strong demand in analytical science due to their easy operation,portability,high sensitivity,as well as their short analysis time.They have been applied for the detection of trace amounts of target through measuring changes in electrochemical signal,such as current,voltage,potential,or impedance,due to the oxidation/reduction of chemical/biological molecules with the help of electrodes and electrochemical units.MEC sensors present great potential for the detection of targets including small organic molecules,metal ions,and biomolecules.In recent years,MEC sensors have been broadly applied to POCT in various fields,including health care,food safety,and environmental monitoring,owing to the excellent advantages of electrochemical(EC)technologies.This review summarized the state-of-the-art advancements on various types of MEC sensors and their applications in POCT.Furthermore,the future perspectives,opportunities,and challenges in this field are also discussed.展开更多
In this paper,we describe a method of emotion analysis on social big data.Social big data means text data that is emerging on Internet social networking services.We collect multilingual web corpora and annotated emoti...In this paper,we describe a method of emotion analysis on social big data.Social big data means text data that is emerging on Internet social networking services.We collect multilingual web corpora and annotated emotion tags to these corpora for the purpose of emotion analysis.Because these data are constructed by manual annotation,their quality is high but their quantity is low.If we create an emotion analysis model based on this corpus with high quality and use the model for the analysis of social big data,we might be able to statistically analyze emotional sensesand behavior of the people in Internet communications,which we could not know before.In this paper,we create an emotion analysis model that integrate the highquality emotion corpus and the automaticconstructed corpus that we created in our past studies,and then analyze a large-scale corpus consisting of Twitter tweets based on the model.As the result of time-series analysis on the large-scale corpus and the result of model evaluation,we show the effectiveness of our proposed method.展开更多
基金supported by grant 81170747 from the National Natural Sciences Foundation of Chinagrant H201106 from Health Promotion Foundation of Jiangsu Provincegrant from the Office of Human Resources and Social Security of Jiangsu Province (Peak of the Six Personnel in Jiangsu Province) to Hongwen Zhou
文摘Multiple endocrine neoplasia type 2A （MEN2A）, a subtype of MEN2, is characterized by medullary thyroid cancer, pheochromocytoma, and primary hyperparathyroidism. A Han Chinese pedigree with MEN2A was investigated following confirmation of the proband＇s diagnosis by pathological findings and DNA/biochemical screening. DNA samples from 4 other family members were collected and exon 5, 8, 10, 11, 13, 16 and 18 of the RET proto-oncogene were sequenced and then analyzed. A missense mutation of TGG （Trp） to TGC （Cys） at codon 634 （the classic MEN2A mutation） in exon 11 of the RET gene was detected in 3 family members, including the proband. Sequencing data were compared with the human gene mutation database. Elevated serum calcitonin level was detected initially; medullary thyroid carcinoma was revealed in the 3 cases and adrenal pheochromocytoma was also found in the proband. Elective operations were successfully performed on the adrenal and thyroid glands because of pheochromocytoma and medullary thyroid carcinoma. Our case study confirms that integrated DNA-based/biochemical screening is crucial for early diagnosis of MEN2A and is helpful in the screening of their relatives. In addition, DNA-based screening may occasionally uncover a previously unknown RET sequence.
基金supports from the National Science Foundations of China (Nos. 20875076 and 21005061)the Specialized Research Fund for the Doctoral Program of Higher Education of China (No. 20096101120011)+2 种基金the Natural Science Basic Research Plan in Shaanxi Province of China (No.2010JQ2013)the Education Department of Shaanxi Province,China (No. 09JK759)the NWU Graduate Innovation and Creativity Funds (No. 09YSY04)
文摘An electrochemical sensor incorporating a signal enhancement for the determination of lead （II） ions （Pb2＋） was designed on the basis of the thrombin-binding aptamer （TBA） as a molecular recog- nition element and ionic liquid supported cerium oxide （CeO2） nanoparticles-carbon nanotubes compo- site modification. The composite comprises nanoparticles CeO2, multi-waU carbon nanotubes （MWNTs） and hydrophobic room temperature ionic liquid （RTIL） 1-ethyl-3-methylimidazolium tetrafluoroborate （EMIMBF4）. The electrochemical sensors were fabricated by immersing the CeOa-MWNTs-EMIMBF4 modified glassy carbon electrode （GCE） into the solution of TBA probe. In the presence of Pb2＋, the TBA probe could form stable G-quartet structure by the specific binding interactions between Pb2＋ and TBA. The TBA-bound Pb2＋ can be electrochemically reduced, which provides a readout signal for quantitative detection of Pb2＋. The reduction peak current is linearly related to the concentration of Pb2＋ from 1.0 ＊ 10-8 M to 1.0 ＊ 105 M with a detection limit of 5 ＊ 109 M. This work demonstrates that the CeOz-MWNTs-EMIMBF4 nanocomposite modified GCE provides a promising platform for immobi- lizing the TBA probe and enhancing the sensitivity of the DNA-based sensors.
基金financially supported by the National Natural Science Foundation of China(No.21804014)the Natural Science Foundation of Chongqing Science&Technology Commission(No.2023jcyjA3529)+1 种基金the Science and Technology Research Program of Chongqing Municipal Education Commission(No.KJQN202200832)Construction of Graduate Joint Training Base of Chongqing Municipal Education Commission(No.yjd223005)。
文摘DNA-based hydrogels are exceptional materials for biological applications because of their numerous advantages such as biodegradability,biocompatibility,hydrophilicity,super absorbency,porosity,and swelling.Among these advantages,the ability of DNA-based hydrogels to respond to specific physical and chemical triggers and undergo reversible phase transitions has garnered significant attention in the fields of disease diagnosis(biosensors)and treatment(drug delivery).This article focuses on the recent advancements in the research of DNA-based hydrogels and discusses the different types of these hydrogels,the synthetic methods,their unique properties,and their applications in biosensors and drug delivery.The types of DNA hydrogels are categorized based on their building blocks,and the process of synthesis as well as the unique characteristics of DNA-based hydrogels are described.Then,DNA-based responsive hydrogels utilized as intelligent materials for the development of biosensors are reviewed.Furthermore,this article also presents the current status of DNA-based responsive hydrogels in drug delivery for cancer treatment,wound healing,and other therapeutic applications.Ultimately,this paper discusses the current challenges in expanding the practical application of DNA-based hydrogels.
基金This work was supportedin part by the National Nature Science Foundation of China (No.60474037and60004006) Programfor NewCentury Excellent Talents in University (NCET04 415) +1 种基金Specialized Research Fund for the Doctoral Programof Higher Educationfrom Educational Committee of China (No.20030255009) the Youth Foundation fromEducational Committee of Anhui Province(No.2005jql043) .
文摘This paper discusses the design of the queue for DNA-based computer on the point view of data structure. The nucleotide encodings for all components of the queue are given out formally. The linear double-stranded DNA molecules are used as the storage structure of the queue, and the basic bio-operations over the queue are described. Furthermore, the comparison between the queue of the electronic computer and that of DNA-based computer are elucidated. To prove the feasibility of our work, nucleotide encodings for an instance of queue are given out. All the biological technology mentioned in this paper can be practically implemented in the laboratory. Based on this work, other data structures could be developed in DNA-based computer.
文摘The advent of 5G technology has significantly enhanced the transmission of images over networks,expanding data accessibility and exposure across various applications in digital technology and social media.Consequently,the protection of sensitive data has become increasingly critical.Regardless of the complexity of the encryption algorithm used,a robust and highly secure encryption key is essential,with randomness and key space being crucial factors.This paper proposes a new Robust Deoxyribonucleic Acid(RDNA)nucleotide-based encryption method.The RDNA encryption method leverages the unique properties of DNA nucleotides,including their inherent randomness and extensive key space,to generate a highly secure encryption key.By employing transposition and substitution operations,the RDNA method ensures significant diffusion and confusion in the encrypted images.Additionally,it utilises a pseudorandom generation technique based on the random sequence of nucleotides in the DNA secret key.The performance of the RDNA encryption method is evaluated through various statistical and visual tests,and compared against established encryption methods such as 3DES,AES,and a DNA-based method.Experimental results demonstrate that the RDNA encryption method outperforms its rivals in the literature,and achieves superior performance in terms of information entropy,avalanche effect,encryption execution time,and correlation reduction,while maintaining competitive values for NMAE,PSNR,NPCR,and UACI.The high degree of randomness and sensitivity to key changes inherent in the RDNA method offers enhanced security,making it highly resistant to brute force and differential attacks.
基金Supported by the Jiangsu Provincial Science and Technology Planning Project(No.BK20231516)the National Natural Science Foundation of China(Nos.42293264,32371606,31971449)。
文摘In natural aquatic ecosystems,algal-derived organic carbon(AOC)often coexists with exogenous organic carbon(EOC).Microbial utilization of these distinct carbon sources affects carbon flux and transformation in water column and algal growth.Microcystis blooms significantly increase AOC levels in water,but the microbial transformation process of Microcystis-derived AOC in the presence of EOC remain poorly understood.We conducted a simulated experiment by introducing^(13)C-sodium bicarbonate and^(13)C-glucose as substrates for indoor simulation of non-axenic Microcystis aeruginosa(M.aeruginosa)populations in a sealed system.The microbial transformation processes of AOC and EOC and their effects on M.aeruginosa growth were investigated.Results demonstrated that the addition of glucose accelerated M.aeruginosa growth and significantly increased their biomass.During the experiment,as the particulate organic carbon and nitrogen content increased,the concentrations of CO_(2)and N_(2)O were gradually decreased,while the concentration of CH4 were gradually increased.Significant differences were observed in the microbial processes involved in the uptake of AOC and EOC.Bacteria involved in AOC transformation throughout the growth period were dominated by Proteobacteria,Gemmatimonadota,Actinobacteriota,Bacteroidota,Acidobacteriota,and Firmicutes.The bacteria involved in EOC transformation were dominated by Proteobacteria,Actinobacteriota,Firmicutes,Cyanobacteria,Armatimonadota,and Bacteroidota.Linear discriminant analysis Effect Size(LEfSe)analysis revealed Massilia and Akkermansia as biomarkers involved in AOC transformation,while Ligilactobacillus was associated with EOC transformation.These findings provide valuable insights into the effects of EOC on algae-bacteria interaction,and on the dynamics of carbon and nitrogen cycling among M.aeruginosa and its associated bacteria.
基金supported by the National Science Foundation of China(Grant Nos.21991134,22074041)the Shanghai Science and Technology Committee(STCSM)(23ZR1479600).
文摘Monitoring and analyzing expression levels of multiple biomarkers in biological samples can improve disease risk prediction and guide precision medicine but suffers from high cost and being time-consuming.Here,we construct a fast molecular classifier based on freeze-thaw cycling that implements an in silico support vector machine(SVM)classifier model at the molecular level with a panel of disease-related biomarkers expression patterns for rapid disease diagnosis.The molecular classifier employs DNA reaction networks as the computing module and repeated dehydration and concentration process as the driving force to implement a set of simplified mathematical operations(such as multiplication,summation and subtraction)for efficient classification of complex input patterns.We demonstrate that the fast DNA-based molecular classifier enables precise cancer diagnosis within a short turnaround time in synthetic samples compared to those of free diffusion classifiers.We envision that this all-in-one molecular classifier will create more opportunities for inexpensive,accurate,and rapid disease diagnosis,prognosis and therapy,particularly in emergency departments or the point of care.
文摘针对边缘计算环境中,边缘设备的计算和存储资源有限的问题,探讨高效的边云协同任务调度和资源缓存策略,研究自组织劳动分工群智能算法模型机理,并以此为基础,提出基于蜂群劳动分工“激发-抑制”模型的边云协同任务调度算法(edge cloud collaborative task scheduling algorithm based on bee colony labor division‘activator-inhibitor’model,ECCTS-BCLDAI)和基于蚁群劳动分工“刺激-响应”模型的边云协同资源缓存算法(edge cloud collaborative resource caching algorithm based on ant colony labor division‘stimulus-response’model,ECCRC-ACLDSR).仿真实验结果表明:所提出的ECCTS-BCLDAI任务调度算法在降低平均任务执行时长、减少边云协同费用上相较于传统算法有更好的表现;所提出的ECCRC-ACLDSR资源缓存算法在降低任务平均时长、优化网络带宽占用率、减少边云协同费用上相较于传统算法更具有优越性.
文摘Toll-like receptors (TLRs) recognize specific motifs which are frequently present in bacteria, fungi, prokaryotes and viruses. Amongst TLRs, TLR9 can be activated by such bacterial or viral DNA fragments, immunoglobulin-DNA complexes or synthetic oligonucleotides, which all contain unmethylated cytosineguanine nucleotide sequences (CpGs). Emerging data indicate that TLR9 signaling has a role in, and may influence, colorectal carcinogenesis and colonic inflammation. CpGs are classified into three groups according to their influence on both the antigen-specific humoraland cellular immunity, and the production of type 1 interferons and proinflammatory cytokines. TLR9 activation via CpGs may serve as a new therapeutic target for several cancerous and various inflammatory conditions. Due to its probable anti-cancer effects, the application possibilities of TLR9-signaling modulation may be extremely diverse even in colorectal tumors. In this review we aimed to summarize the current knowledge about TLR-signaling in the pathogenesis and therapy of inflammatory bowel diseases and colorectal cancer. Due to the species-specific differences in TLR9 expression, however, one must be careful in translating the animal model data into the human system, because of the differences between CpG-oligodeoxynucleotide-responsive cells. TLR9 agonist DNA-based immunomodulatory sequences could also represent a promising therapeutic alternative in systemic inflammatory conditions and chronic colonic inflammations as their side effects are not significant.
文摘Since the advent of sequencing technologies,the determination of microbial diversity to predict microbial functions,which are the major determinants of soil functions,has become a major topic of interest,as evidenced by the 900 publications dealing with soil metagenome published up to 2017.However,the detection of a gene in soil does not mean that the relative function is expressed,and the presence of a particular taxon does not mean that the relative functions determined in pure culture also occur in the studied soil.Another critical step is to link microbial community composition or function to the product analyzed to determine flux rates.Indeed,flux rates might not only be highly dynamic,but several metabolites can depend on different reactions,which makes the link to one process of interest difficult or even impossible.This review also discusses biases caused by sampling,storage of samples,DNA extraction and purification,sequencing(amplicon-vs.metagenome sequencing),and bioinformatic data analysis.Insights and the limits of predicting microbial interactions by network inference methods are critically discussed,and finally,future directions for a better understanding of soil functions by using measurements of microbial diversity are presented.
文摘Three plasmid expression vectors containing modified hepatitis B surface antigen (HBsAg) carrying pres epitopes were constructed. Transient expression after in vitro transfection in COS-M6 cells showed that under the transcriptional control of the human cytomegalovirus (CMV) immediate early promoter, fusion genes expressed the modified HBV envelope proteins which were efficiently secreted into culture medium and presented HBsAg, preS1 and preS2 antigenicity. DNA-based immunization with these plasmids carrying pres sequences induced anti-HBs antibody in BALB/c mice. The titers of anti-HBs antibody were higher than those appeared in mice immunized with plasmid carrying S gene only. DNA injection with plasmids containing preS1 sequences elicited also high titers of anti-preS1 antibody. Moreover, the antipreS1 antibodies were found to appear earlier than anti-HBs antibodies.
基金the China National Key R&D Program(No.2017YFC1601604)National Natural Science Foundation of China(NSFC)(No.21777189)for financially supporting this research。
文摘Most of the current analytical methods depend largely on laboratory-based analytical techniques that require expensive and bullky equipment,potentially incur costly testing,and involve lengthy detection processes.With increasing requirements for point-of-care testing(POCT),more attention has been paid to miniaturized analytical devices.Miniaturized electrochemical(MEC)sensors,including different material-based MEC sensors(such as DNA-,paper-,and screen electrode-based),have been in strong demand in analytical science due to their easy operation,portability,high sensitivity,as well as their short analysis time.They have been applied for the detection of trace amounts of target through measuring changes in electrochemical signal,such as current,voltage,potential,or impedance,due to the oxidation/reduction of chemical/biological molecules with the help of electrodes and electrochemical units.MEC sensors present great potential for the detection of targets including small organic molecules,metal ions,and biomolecules.In recent years,MEC sensors have been broadly applied to POCT in various fields,including health care,food safety,and environmental monitoring,owing to the excellent advantages of electrochemical(EC)technologies.This review summarized the state-of-the-art advancements on various types of MEC sensors and their applications in POCT.Furthermore,the future perspectives,opportunities,and challenges in this field are also discussed.
文摘In this paper,we describe a method of emotion analysis on social big data.Social big data means text data that is emerging on Internet social networking services.We collect multilingual web corpora and annotated emotion tags to these corpora for the purpose of emotion analysis.Because these data are constructed by manual annotation,their quality is high but their quantity is low.If we create an emotion analysis model based on this corpus with high quality and use the model for the analysis of social big data,we might be able to statistically analyze emotional sensesand behavior of the people in Internet communications,which we could not know before.In this paper,we create an emotion analysis model that integrate the highquality emotion corpus and the automaticconstructed corpus that we created in our past studies,and then analyze a large-scale corpus consisting of Twitter tweets based on the model.As the result of time-series analysis on the large-scale corpus and the result of model evaluation,we show the effectiveness of our proposed method.
