Developing effective and long-term treatment strategies for rare and complex neurodegenerative diseases is challenging. One of the major roadblocks is the extensive heterogeneity among patients. This hinders understan...Developing effective and long-term treatment strategies for rare and complex neurodegenerative diseases is challenging. One of the major roadblocks is the extensive heterogeneity among patients. This hinders understanding the underlying disease-causing mechanisms and building solutions that have implications for a broad spectrum of patients. One potential solution is to develop personalized medicine approaches based on strategies that target the most prevalent cellular events that are perturbed in patients. Especially in patients with a known genetic mutation, it may be possible to understand how these mutations contribute to problems that lead to neurodegeneration. Protein–protein interaction analyses offer great advantages for revealing how proteins interact, which cellular events are primarily involved in these interactions, and how they become affected when key genes are mutated in patients. This line of investigation also suggests novel druggable targets for patients with different mutations. Here, we focus on alsin and spastin, two proteins that are identified as “causative” for amyotrophic lateral sclerosis and hereditary spastic paraplegia, respectively, when mutated. Our review analyzes the protein interactome for alsin and spastin, the canonical pathways that are primarily important for each protein domain, as well as compounds that are either Food and Drug Administration–approved or are in active clinical trials concerning the affected cellular pathways. This line of research begins to pave the way for personalized medicine approaches that are desperately needed for rare neurodegenerative diseases that are complex and heterogeneous.展开更多
The protein connector enhancer of kinase suppressor of Ras 2(CNKSR2),present in both the postsynaptic density and cytoplasm of neurons,is a scaffolding protein with several protein-binding domains.Variants of the CNKS...The protein connector enhancer of kinase suppressor of Ras 2(CNKSR2),present in both the postsynaptic density and cytoplasm of neurons,is a scaffolding protein with several protein-binding domains.Variants of the CNKSR2 gene have been implicated in neurodevelopmental disorders,particularly intellectual disability,although the precise mechanism involved has not yet been fully understood.Research has demonstrated that CNKSR2 plays a role in facilitating the localization of postsynaptic density protein complexes to the membrane,thereby influencing synaptic signaling and the morphogenesis of dendritic spines.However,the function of CNKSR2 in the cytoplasm remains to be elucidated.In this study,we used immunoprecipitation and high-resolution liquid chromatography-mass spectrometry to identify the interactors of CNKSR2.Through a combination of bioinformatic analysis and cytological experiments,we found that the CNKSR2 interactors were significantly enriched in the proteome of the centrosome.We also showed that CNKSR2 interacted with the microtubule protein DYNC1H1 and with the centrosome marker CEP290.Subsequent colocalization analysis confirmed the centrosomal localization of CNKSR2.When we downregulated CNKSR2 expression in mouse neuroblastoma cells(Neuro 2A),we observed significant changes in the expression of numerous centrosomal genes.This manipulation also affected centrosome-related functions,including cell size and shape,cell proliferation,and motility.Furthermore,we found that CNKSR2 interactors were highly enriched in de novo variants associated with intellectual disability and autism spectrum disorder.Our findings establish a connection between CNKSR2 and the centrosome,and offer new insights into the underlying mechanisms of neurodevelopmental disorders.展开更多
With the awarding of the 2015 Nobel Prize in Physiology or Medicine to Chinese pharmacologist Tu Youyou,and the significant contributions of traditional Chinese medicine(TCM)for coronavirus disease 2019(COVID-19),TCM ...With the awarding of the 2015 Nobel Prize in Physiology or Medicine to Chinese pharmacologist Tu Youyou,and the significant contributions of traditional Chinese medicine(TCM)for coronavirus disease 2019(COVID-19),TCM has garnered increasing attention and interest globally.Although advanced research progress has been made in the efficacy research,mechanism elucidation and target prediction of TCM in recent years[1].展开更多
With the identification of more than a dozen novel Hermansky-Pudlak Syndrome （HPS） proteins in vesicle trafficking in higher eukaryotes, a new class of trafficking pathways has been described. It mainly consists of ...With the identification of more than a dozen novel Hermansky-Pudlak Syndrome （HPS） proteins in vesicle trafficking in higher eukaryotes, a new class of trafficking pathways has been described. It mainly consists of three newly-defined protein com- plexes, BLOC-l, -2, and -3. Compelling evidence indicates that these complexes together with two other well-known complexes, AP3 and HOPS, play important roles in endosomal transport. The interactions between these complexes form a network in protein trafficking via endosomes and cytoskeleton. Each node of this network has intra-complex and extra-complex interactions. These complexes are connected by direct interactions between the subunits from different complexes or by indirect interactions through coupling nodes that interact with two or more subunits from different complexes. The dissection of this network facilitates the understanding of a dynamic but elaborate transport machinery in protein/membrane trafficking. The disruption of this network may lead to abnormal trafficking or defective organellar development as described in patients with Hermansky-Pudlak syndrome.展开更多
Interactions are the essence of all biomolecules because they cannot fulfill their roles without interacting with other molecules. Hence, mapping the interactions of biomolecules can be useful for understanding their ...Interactions are the essence of all biomolecules because they cannot fulfill their roles without interacting with other molecules. Hence, mapping the interactions of biomolecules can be useful for understanding their roles and functions. Furthermore, the development of molecular based systems biology requires an understanding of the biomolecular interactions. In recent years, the mapping of protein-protein interactions in different species has been reported, but few reports have focused on the large-scale mapping of protein-protein interactions in human. Here, we review the developments in protein interaction mapping and we discuss issues and strategies for the mapping of the human protein interactome.展开更多
The coronavirus disease 2019(COVID-19)pandemic,caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),has seriously threatened global public health and caused huge economic losses.Omics studies of SARS-...The coronavirus disease 2019(COVID-19)pandemic,caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),has seriously threatened global public health and caused huge economic losses.Omics studies of SARS-CoV-2 can help understand the interaction between the virus and host,thereby providing a new perspective in guiding the intervention and treatment of the SARS-CoV-2 infection.Since large amount of SARS-CoV-2 omics data have been accumulated in public databases,this study aimed to identify key host factors involved in SARSCoV-2 infection through systematic integration of transcriptome and interactome data.By manually curating published studies,we obtained a comprehensive SARS-CoV-2-human protein-protein interactions(PPIs)network,comprising 3591 human proteins interacting with 31 SARS-CoV-2 viral proteins.Using the RobustRankAggregation method,we identified 123 multiple cell line common genes(CLCGs),of which 115 up-regulated CLCGs showed host enhanced innate immunity and chemotactic response signatures.Combined with network analysis,co-expression and functional enrichment analysis,we discovered four key host factors involved in SARS-CoV-2 infection:IFITM1,SERPINE1,DDX60,and TNFAIP2.Furthermore,SERPINE1 was found to facilitate SARSCoV-2 replication,and can alleviate the endoplasmic reticulum(ER)stress induced by ORF8 protein through interaction with ORF8.Our findings highlight the importance of systematic integration analysis in understanding SARS-CoV-2-human interactions and provide valuable insights for future research on potential therapeutic targets against SARS-CoV-2 infection.展开更多
The 14-3-3 protein family is among the most extensively studied, yet still largely mysterious protein families in mammals to date. As they are well recognized for their roles in apoptosis, cell cycle regulation, and p...The 14-3-3 protein family is among the most extensively studied, yet still largely mysterious protein families in mammals to date. As they are well recognized for their roles in apoptosis, cell cycle regulation, and proliferation in healthy cells, aberrant 14-3-3 expression has unsurprisingly emerged as instrumentalin the development of many cancers and in prognosis. Interestingly, while the seven known 14-3-3 isoforms in humans have many similar functions across cell types, evidence of isoform-specific functions and localization has been observed in both healthy and diseased cells The strikingly high similarity among 14-3-3 isoforms has made it difficult to delineate isoform-specific functions and for isoform-specific targeting. Here, we review our knowledge of 14-3-3 interactome（s） generated by high- throughput techniques, bioinformatics, structural genomics and chemical genornics and point out that integrating the information with molecular dynamics （MD） simulations may bring us new opportunity to the design of isoform-specific inhibitors, which can not only be used as powerful research tools for delineating distinct interactomes of individual 14-3-3 isoforms, but also can serve as potential new anti-cancer drugs that selectively target aberrant 14-3-3 isoform.展开更多
Chikungunya virus(CHIKV)is a re-emerging mosquito-transmitted RNA virus causing joint and muscle pain.To better understand how CHIKV rewires the host cell and usurps host cell functions,we generated a systematic CHIKV...Chikungunya virus(CHIKV)is a re-emerging mosquito-transmitted RNA virus causing joint and muscle pain.To better understand how CHIKV rewires the host cell and usurps host cell functions,we generated a systematic CHIKV-human protein-protein interaction map and revealed several novel connections that will inform further mechanistic studies.One of these novel interactions,between the viral protein E1 and STIP1 homology and U-box containing protein 1(STUB1),was found to mediate ubiquitination of E1 and degrade E1 through the proteasome.Capsid associated with G3BP1,G3BP2 and AAAþATPase valosin-containing protein(VCP).Furthermore,VCP inhibitors blocked CHIKV infection,suggesting VCP could serve as a therapeutic target.Further work is required to fully understand the functional consequences of these interactions.Given that CHIKV proteins are conserved across alphaviruses,many virus-host protein-protein interactions identified in this study might also exist in other alphaviruses.Construction of interactome of CHIKV provides the basis for further studying the function of alphavirus biology.展开更多
supported by the Earmarked Fund for Modern Agro-industry Technology Research System of China （CARS-36） from the Ministry of Agriculture of China;the National Natural Science Foundation of China （31572549）;the Nati...supported by the Earmarked Fund for Modern Agro-industry Technology Research System of China （CARS-36） from the Ministry of Agriculture of China;the National Natural Science Foundation of China （31572549）;the National Key Technology R＆D Program of China （2015BAD12B01-2） from the Ministry of Science and Technology of China展开更多
Growing evidence supports the transcription of enhancer RNAs(eRNAs)and their important roles in gene regulation.However,their interactions with other biomolecules and their corresponding functionality remain poorly un...Growing evidence supports the transcription of enhancer RNAs(eRNAs)and their important roles in gene regulation.However,their interactions with other biomolecules and their corresponding functionality remain poorly understood.In an attempt to facilitate mechanistic research,this study presents eRNA-IDO,the first integrative computational platform for the identification,interactome discovery,and functional annotation of human eRNAs.eRNA-IDO comprises two modules:eRNA-ID and eRNA-Anno.Functionally,eRNA-ID can identify eRNAs from de novo assembled transcriptomes.eRNA-ID includes eight kinds of enhancer makers,enabling users to customize enhancer regions flexibly and conveniently.In addition,eRNA-Anno provides cell-/tissue-specific functional annotation for both new and known eRNAs by analyzing the eRNA interactome from prebuilt or user-defined networks between eRNAs and protein-coding genes.The prebuilt networks include the Genotype-Tissue Expression(GTEx)-based co-expression networks in normal tissues,The Cancer Genome Atlas(TCGA)-based co-expression networks in cancer tissues,and omics-based eRNA-centric regulatory networks.eRNA-IDO can facilitate research on the biogenesis and functions of eRNAs.The eRNA-IDO server is freely available at http://bioinfo.szbl.ac.cn/eRNA_IDO/.展开更多
Although metabolic homeostasis disruption,cellular damage,and premature senescence caused by salinity stress are well-documented in the literature,there are few studies investigating cytological changes induced by sal...Although metabolic homeostasis disruption,cellular damage,and premature senescence caused by salinity stress are well-documented in the literature,there are few studies investigating cytological changes induced by salinity stress within the altered metabolic landscape of rice,and this study aims to fill that gap.The cytological characterization of root tips(in terms of mitotic index and chromosomal abnormalities such as stickiness,laggards,fragments,bridges,micronuclei,ring chromosomes,and total mitotic abnormalities)was conducted on 10 experimental rice landraces from coastal Bangladesh,grown under post-imbibitional salinity stress(PISS),while correlating these changes with their metabolic status.The results revealed a strong correlation between salinity-induced cytological changes in root cells(mitotic index and chromosomal abnormalities)and the redox interactome status of all experimental rice landraces.The landraces Kutepatnai,Talmugur,Nonakochi,and Benapol,which exhibited a higher ability to mitigate PISS-induced chromosomal abnormalities and improve mitotic index,also showed lower accumulation of oxidative stress markers(protein carbonylation,lipid peroxidation,prooxidant accumulation,oxidative stress index,reactive oxygen species(ROS)-antioxidative stress index,and efficiency of ROS processing via the Halliwell-Asada pathway)compared with more susceptible landraces(Charobalam,Jotaibalam,Kachra,and Lalmota).These findings underscore the role of redox biology in preventing chromotoxic effects under salinity stress.Hierarchical cluster analysis and principal component analysis,used to determine variations and similarities among the experimental rice landraces based on cytological attributes,redox interactome,and physiological phenotypes,classified the landraces according to their salinity tolerance and sensitivity.This study proposes a novel approach for exploring redox-regulated cytological fingerprints as a tool for identifying salinity-tolerant rice landraces.展开更多
The functional genes underlying phenotypic variation and their interactions represent“genetic mysteries”.Understanding and utilizing these genetic mysteries are key solutions for mitigating the current threats to ag...The functional genes underlying phenotypic variation and their interactions represent“genetic mysteries”.Understanding and utilizing these genetic mysteries are key solutions for mitigating the current threats to agriculture posed by population growth and individual food preferences.Due to advances in highthroughput multi-omics technologies,we are stepping into an Interactome Big Data era that is certain to revolutionize genetic research.In this article,we provide a brief overview of current strategies to explore genetic mysteries.We then introduce the methods for constructing and analyzing the Interactome Big Data and summarize currently available interactome resources.Next,we discuss how Interactome Big Data can be used as a versatile tool to dissect genetic mysteries.We propose an integrated strategy that could revolutionize genetic research by combining Interactome Big Data with machine learning,which involves mining information hidden in Big Data to identify the genetic models or networks that control various traits,and also provide a detailed procedure for systematic dissection of genetic mysteries,Finally,we discuss three promising future breeding strategies utilizing the Interactome Big Data to improve crop yields and quality.展开更多
Plant protein-protein interaction networks have not been identified by large-scale experiments. In order to better understand the protein interactions in rice, the Predicted Rice Interactome Network （PRIN; http：//bi...Plant protein-protein interaction networks have not been identified by large-scale experiments. In order to better understand the protein interactions in rice, the Predicted Rice Interactome Network （PRIN; http：//bis.zju.edu.cn/ prin/） presented 76,585 predicted interactions involving 5,049 rice proteins. After mapping genomic features of rice （GO annotation, subcellular localizationprediction, and gene expression）, we found that a well-annotated and biologically significant network is rich enough to capture many significant functional linkages within higher-order biological systems, such as pathways and biological processes. Furthermore, we took MADS-box do- main-containing proteins and circadian rhythm signaling pathways as examples to demonstrate that functional protein complexes and biological pathways could be effectively expanded in our predicted network. The expanded molecular network in PRIN has considerably improved the capability of these analyses to integrate existing knowledge and provide novel insights into the function and coordination of genes and gene networks.展开更多
Objective: To explore the molecular-level mechanism on the hematopoiesis effect of Angelicae sinensis Radix(ASR) with systems-based interactome analysis. Methods: This systems-based interactome analysis was designed t...Objective: To explore the molecular-level mechanism on the hematopoiesis effect of Angelicae sinensis Radix(ASR) with systems-based interactome analysis. Methods: This systems-based interactome analysis was designed to enforce the workflow of "ASR(herb)→compound→target protein→internal protein actions→ending regulated protein for hematopoiesis". This workflow was deployed with restrictions on regulated proteins expresses in bone marrow and anemia disease and futher validated with experiments. Results: The hematopoiesis mechanism of ASR might be accomplished through regulating pathways of cell proliferation towards hemopoiesis with cross-talking agents of spleen tyrosine kinase(SYK), Janus kinase 2(JAK2), and interleukin-2-inducible T-cell kinase(ITK). The hematopoietic function of ASR was also validated by colonyforming assay performed on mice bone marrow cells. As a result, SYK, JAK2 and ITK were activated. Conclusion: This study provides a new approach to systematically study and predict the therapeutic mechanism for ASR based on interactome analysis towards biological process with experimental validations.展开更多
Drug-resistant varieties of pathogens are now a recognized global threat. Insights into the routes for drug resistance in these pathogens are critical for developing more effective antibacterial drugs. A systems-level...Drug-resistant varieties of pathogens are now a recognized global threat. Insights into the routes for drug resistance in these pathogens are critical for developing more effective antibacterial drugs. A systems-level analysis of the genes, proteins, and interactions involved is an important step to gaining such insights. This paper discusses some of the computational challenges that must be surmounted to enable such an analysis; viz., unreliability of bacterial interactome maps, paucity of bacterial interactome maps, and identification of pathways to bacterial drug resistance.展开更多
Tauopathies,diseases characterized by neuropathological aggregates of tau including Alzheimer's disease and subtypes of fro ntotemporal dementia,make up the vast majority of dementia cases.Although there have been...Tauopathies,diseases characterized by neuropathological aggregates of tau including Alzheimer's disease and subtypes of fro ntotemporal dementia,make up the vast majority of dementia cases.Although there have been recent developments in tauopathy biomarkers and disease-modifying treatments,ongoing progress is required to ensure these are effective,economical,and accessible for the globally ageing population.As such,continued identification of new potential drug targets and biomarkers is critical."Big data"studies,such as proteomics,can generate information on thousands of possible new targets for dementia diagnostics and therapeutics,but currently remain underutilized due to the lack of a clear process by which targets are selected for future drug development.In this review,we discuss current tauopathy biomarkers and therapeutics,and highlight areas in need of improvement,particularly when addressing the needs of frail,comorbid and cognitively impaired populations.We highlight biomarkers which have been developed from proteomic data,and outline possible future directions in this field.We propose new criteria by which potential targets in proteomics studies can be objectively ranked as favorable for drug development,and demonstrate its application to our group's recent tau interactome dataset as an example.展开更多
Base excision repair （BER） is an evolutionarily conserved process for maintaining genomic integrity by eliminating several dozen damaged （oxidized or aikylated） or inappropriate bases that are generated endogenous...Base excision repair （BER） is an evolutionarily conserved process for maintaining genomic integrity by eliminating several dozen damaged （oxidized or aikylated） or inappropriate bases that are generated endogenously or induced by genotoxicants, predominantly, reactive oxygen species （ROS）. BER involves 4-5 steps starting with base excision by a DNA glycosylase, followed by a common pathway usually involving an AP-endonuclease （APE） to generate 3＇ OH terminus at the damage site, followed by repair synthesis with a DNA polymerase and nick sealing by a DNA iigase. This pathway is also responsible for repairing DNA single-strand breaks with blocked termini directly generated by ROS. Nearly all glycosylases, far fewer than their substrate lesions particularly for oxidized bases, have broad and overlapping substrate range, and could serve as back-up enzymes in vivo. In contrast, mammalian cells encode only one APE, APEI, unlike two APEs in lower organisms. In spite of overall similarity, BER with distinct subpathways in the mammals is more complex than in E. coli. The glycosylases form complexes with downstream proteins to carry out efficient repair via distinct subpathways one of which, responsible for repair of strand breaks with 3＇ phosphate termini generated by the NEIL family glycosylases or by ROS, requires the phosphatase activity of polynucleotide kinase instead of APE1. Different complexes may utilize distinct DNA polymerases and iigases. Mammalian glycosylases have nonconserved extensions at one of the termini, dispensable for enzymatic activity but needed for interaction with other BER and non-BER proteins for complex formation and organeile targeting. The mammalian enzymes are sometimes covalently modified which may affect activity and complex formation. The focus of this review is on the early steps in mammalian BER for oxidized damage.展开更多
Background Spermatozoa interact with oviduct secretions before fertilization in vivo but the molecular players of this dialog and underlying dynamics remain largely unknown.Our objectives were to identify an exhaustiv...Background Spermatozoa interact with oviduct secretions before fertilization in vivo but the molecular players of this dialog and underlying dynamics remain largely unknown.Our objectives were to identify an exhaustive list of sperm-interacting proteins(SIPs)in the bovine oviduct fluid and to evaluate the impact of the oviduct anatomical region(isthmus vs.ampulla)and time relative to ovulation(pre-ovulatory vs.post-ovulatory)on SIPs number and abundance.Methods Pools of oviduct fluid(OF)from the pre-ovulatory ampulla,pre-ovulatory isthmus,post-ovulatory ampulla,and post-ovulatory isthmus in the side of ovulation were collected from the slaughterhouse.Frozen-thawed bull sperm were incubated with OF or phosphate-buffered saline(control)for 60 min at 38.5℃.After protein extraction and digestion,sperm and OF samples were analyzed by nanoLC-MS/MS and label-free protein quantification.Results A quantitative comparison between proteins identified in sperm and OF samples(2333 and 2471 proteins,respectively)allowed for the identification of 245 SIPs.The highest number(187)were found in the pre-ovulatory isthmus,i.e.,time and place of the sperm reservoir.In total,41 SIPs(17%)were differentially abundant between stages in a given region or between regions at a given stage and 76 SIPs(31%)were identified in only one region×stage condition.Functional analysis of SIPs predicted roles in cell response to stress,regulation of cell motility,fertilization,and early embryo development.Conclusion This study provides a comprehensive list of SIPs in the bovine oviduct and evidences dynamic spatiotemporal changes in sperm-oviduct interactions around ovulation time.Moreover,these data provide protein candidates to improve sperm conservation and in vitro fertilization media.展开更多
The ‘‘omics sciences’’ (genomics, transcriptomics, proteomics) are often used to study living organisms as a whole system by evaluating the complex expression patterns o...The ‘‘omics sciences’’ (genomics, transcriptomics, proteomics) are often used to study living organisms as a whole system by evaluating the complex expression patterns of genes, miRNA, proteins, and metabolites. This study aimed, through bioinformatics and systems biology, to decipher the cytokinome profile in the evolution of inflammatory processes leading to cancer. The cytokinome was defined as the totality of cytokines and their interactions in and around biological cells. The system biology approach would provide a better understanding of the complex interaction network of cytokines, especially in cancer patients. Acquired knowledge would enable health providers with tools to evaluate disease onset through progression as well as identifying innovative therapeutic strategies. Understanding the role each cytokine plays in the metabolic network is of great importance. This paper reviews our group’s ‘‘omics’’ work. In particular, it addresses the role cytokines play in liver disease in six different scenarios. The first is the role the cytokines play in chronic inflammatory diseases and cancers. The second is the significance of the cytokinome profile. The third is the role of liver cirrhosis as an inflammatory disease. The fourth is the comparison of cytokine levels evaluated in patients with chronic hepatitis C virus (HCV) or with HCV-related cirrhosis. The fifth is the comparison of cytokine levels evaluated in patients with HCV-related cirrhosis in the presence and absence of type 2 diabetes. And lastly, we present a comparison of cytokine levels evaluated in patients with HCV-related cirrhosis in the presence and absence of hepatocellular carcinoma.展开更多
The study of the neuron has always been a fundamental aspect when it came to studying mental illnesses such as autism and depression. The protein protocadherin-9 (PCDH9) is an important transmembrane protein in the de...The study of the neuron has always been a fundamental aspect when it came to studying mental illnesses such as autism and depression. The protein protocadherin-9 (PCDH9) is an important transmembrane protein in the development of the neuron synapse. Hence, research on its protein interactome is key to understanding its functionality and specific properties. A newly discovered biotin ligase, TurboID, is a proximity labeler that is designed to be able to label and observe transmembrane proteins, something that previous methods struggled with. The TurboID method is verified in HEK293T cells and primary cultured mouse cortical neurons. Results have proven the validity of the TurboID method in observing PCDH9-interacting proteins.展开更多
基金funded by NIH-NIA R01AG061708 (to PHO)Patrick Grange Memorial Foundation (to PHO)+1 种基金A Long Swim (to PHO)CureSPG4 Foundation (to PHO)。
文摘Developing effective and long-term treatment strategies for rare and complex neurodegenerative diseases is challenging. One of the major roadblocks is the extensive heterogeneity among patients. This hinders understanding the underlying disease-causing mechanisms and building solutions that have implications for a broad spectrum of patients. One potential solution is to develop personalized medicine approaches based on strategies that target the most prevalent cellular events that are perturbed in patients. Especially in patients with a known genetic mutation, it may be possible to understand how these mutations contribute to problems that lead to neurodegeneration. Protein–protein interaction analyses offer great advantages for revealing how proteins interact, which cellular events are primarily involved in these interactions, and how they become affected when key genes are mutated in patients. This line of investigation also suggests novel druggable targets for patients with different mutations. Here, we focus on alsin and spastin, two proteins that are identified as “causative” for amyotrophic lateral sclerosis and hereditary spastic paraplegia, respectively, when mutated. Our review analyzes the protein interactome for alsin and spastin, the canonical pathways that are primarily important for each protein domain, as well as compounds that are either Food and Drug Administration–approved or are in active clinical trials concerning the affected cellular pathways. This line of research begins to pave the way for personalized medicine approaches that are desperately needed for rare neurodegenerative diseases that are complex and heterogeneous.
基金supported by the National Nature Science Foundation of China,No.32101020(to JL)the Natural Science Foundation of Shandong Province,Nos.ZR2020MC071(to JL),ZR2023MH327(to HZ)+1 种基金the Integrated Project of Major Research Plan of National Natural Science Foundation of China,No.92249303(to PL)the Natural Science Foundation of Qingdao,No.23-2-1-193-zyyd-jch(to HZ)。
文摘The protein connector enhancer of kinase suppressor of Ras 2(CNKSR2),present in both the postsynaptic density and cytoplasm of neurons,is a scaffolding protein with several protein-binding domains.Variants of the CNKSR2 gene have been implicated in neurodevelopmental disorders,particularly intellectual disability,although the precise mechanism involved has not yet been fully understood.Research has demonstrated that CNKSR2 plays a role in facilitating the localization of postsynaptic density protein complexes to the membrane,thereby influencing synaptic signaling and the morphogenesis of dendritic spines.However,the function of CNKSR2 in the cytoplasm remains to be elucidated.In this study,we used immunoprecipitation and high-resolution liquid chromatography-mass spectrometry to identify the interactors of CNKSR2.Through a combination of bioinformatic analysis and cytological experiments,we found that the CNKSR2 interactors were significantly enriched in the proteome of the centrosome.We also showed that CNKSR2 interacted with the microtubule protein DYNC1H1 and with the centrosome marker CEP290.Subsequent colocalization analysis confirmed the centrosomal localization of CNKSR2.When we downregulated CNKSR2 expression in mouse neuroblastoma cells(Neuro 2A),we observed significant changes in the expression of numerous centrosomal genes.This manipulation also affected centrosome-related functions,including cell size and shape,cell proliferation,and motility.Furthermore,we found that CNKSR2 interactors were highly enriched in de novo variants associated with intellectual disability and autism spectrum disorder.Our findings establish a connection between CNKSR2 and the centrosome,and offer new insights into the underlying mechanisms of neurodevelopmental disorders.
基金This work is supported by the“Pioneer”and“Leading Goose”R&D Program of Zhejiang(No.2024C03106)Ningbo Top Medical and Health Research Program(No.2022030309)。
文摘With the awarding of the 2015 Nobel Prize in Physiology or Medicine to Chinese pharmacologist Tu Youyou,and the significant contributions of traditional Chinese medicine(TCM)for coronavirus disease 2019(COVID-19),TCM has garnered increasing attention and interest globally.Although advanced research progress has been made in the efficacy research,mechanism elucidation and target prediction of TCM in recent years[1].
基金This work was supported in part by the National Science Fund for Distinguished Young Scholars (No. 30525007)National Basic Research Program of China (No. 2006CB504103+1 种基金 No. 2006CB500704)Hi-Tech Research and Development Program of China (No. 2006AA02Z322)
文摘With the identification of more than a dozen novel Hermansky-Pudlak Syndrome （HPS） proteins in vesicle trafficking in higher eukaryotes, a new class of trafficking pathways has been described. It mainly consists of three newly-defined protein com- plexes, BLOC-l, -2, and -3. Compelling evidence indicates that these complexes together with two other well-known complexes, AP3 and HOPS, play important roles in endosomal transport. The interactions between these complexes form a network in protein trafficking via endosomes and cytoskeleton. Each node of this network has intra-complex and extra-complex interactions. These complexes are connected by direct interactions between the subunits from different complexes or by indirect interactions through coupling nodes that interact with two or more subunits from different complexes. The dissection of this network facilitates the understanding of a dynamic but elaborate transport machinery in protein/membrane trafficking. The disruption of this network may lead to abnormal trafficking or defective organellar development as described in patients with Hermansky-Pudlak syndrome.
文摘Interactions are the essence of all biomolecules because they cannot fulfill their roles without interacting with other molecules. Hence, mapping the interactions of biomolecules can be useful for understanding their roles and functions. Furthermore, the development of molecular based systems biology requires an understanding of the biomolecular interactions. In recent years, the mapping of protein-protein interactions in different species has been reported, but few reports have focused on the large-scale mapping of protein-protein interactions in human. Here, we review the developments in protein interaction mapping and we discuss issues and strategies for the mapping of the human protein interactome.
基金supported by the National Natural Science Foundation of China (32070678,82102371 and 31671371)the Emergency Key Program of Guangzhou Laboratory,grant no.EKPG21-12+3 种基金the Selfsupporting Program of Guangzhou Laboratory,Grant No.SRPG22-007,SRPG22-020the National Key Research and Development Program of China (2020YFC0840800)CAMS Innovation Fund for Medical Sciences (CIFMS) (2021-I2M-1-061)the National Key Research and Development Program of China (2021YFC2302000).
文摘The coronavirus disease 2019(COVID-19)pandemic,caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),has seriously threatened global public health and caused huge economic losses.Omics studies of SARS-CoV-2 can help understand the interaction between the virus and host,thereby providing a new perspective in guiding the intervention and treatment of the SARS-CoV-2 infection.Since large amount of SARS-CoV-2 omics data have been accumulated in public databases,this study aimed to identify key host factors involved in SARSCoV-2 infection through systematic integration of transcriptome and interactome data.By manually curating published studies,we obtained a comprehensive SARS-CoV-2-human protein-protein interactions(PPIs)network,comprising 3591 human proteins interacting with 31 SARS-CoV-2 viral proteins.Using the RobustRankAggregation method,we identified 123 multiple cell line common genes(CLCGs),of which 115 up-regulated CLCGs showed host enhanced innate immunity and chemotactic response signatures.Combined with network analysis,co-expression and functional enrichment analysis,we discovered four key host factors involved in SARS-CoV-2 infection:IFITM1,SERPINE1,DDX60,and TNFAIP2.Furthermore,SERPINE1 was found to facilitate SARSCoV-2 replication,and can alleviate the endoplasmic reticulum(ER)stress induced by ORF8 protein through interaction with ORF8.Our findings highlight the importance of systematic integration analysis in understanding SARS-CoV-2-human interactions and provide valuable insights for future research on potential therapeutic targets against SARS-CoV-2 infection.
文摘The 14-3-3 protein family is among the most extensively studied, yet still largely mysterious protein families in mammals to date. As they are well recognized for their roles in apoptosis, cell cycle regulation, and proliferation in healthy cells, aberrant 14-3-3 expression has unsurprisingly emerged as instrumentalin the development of many cancers and in prognosis. Interestingly, while the seven known 14-3-3 isoforms in humans have many similar functions across cell types, evidence of isoform-specific functions and localization has been observed in both healthy and diseased cells The strikingly high similarity among 14-3-3 isoforms has made it difficult to delineate isoform-specific functions and for isoform-specific targeting. Here, we review our knowledge of 14-3-3 interactome（s） generated by high- throughput techniques, bioinformatics, structural genomics and chemical genornics and point out that integrating the information with molecular dynamics （MD） simulations may bring us new opportunity to the design of isoform-specific inhibitors, which can not only be used as powerful research tools for delineating distinct interactomes of individual 14-3-3 isoforms, but also can serve as potential new anti-cancer drugs that selectively target aberrant 14-3-3 isoform.
基金supported by National Natural Science Foundation of China (82072270 and 82272306)Taishan Scholars Program (tstp20221142)+1 种基金Shandong Provincial Natural Science Foundation (ZR2021QC095)Academic Promotion Programme of Shandong First Medical University (2019LJ001).
文摘Chikungunya virus(CHIKV)is a re-emerging mosquito-transmitted RNA virus causing joint and muscle pain.To better understand how CHIKV rewires the host cell and usurps host cell functions,we generated a systematic CHIKV-human protein-protein interaction map and revealed several novel connections that will inform further mechanistic studies.One of these novel interactions,between the viral protein E1 and STIP1 homology and U-box containing protein 1(STUB1),was found to mediate ubiquitination of E1 and degrade E1 through the proteasome.Capsid associated with G3BP1,G3BP2 and AAAþATPase valosin-containing protein(VCP).Furthermore,VCP inhibitors blocked CHIKV infection,suggesting VCP could serve as a therapeutic target.Further work is required to fully understand the functional consequences of these interactions.Given that CHIKV proteins are conserved across alphaviruses,many virus-host protein-protein interactions identified in this study might also exist in other alphaviruses.Construction of interactome of CHIKV provides the basis for further studying the function of alphavirus biology.
基金supported by the Earmarked Fund for Modern Agro-industry Technology Research System of China (CARS-36) from the Ministry of Agriculture of Chinathe National Natural Science Foundation of China (31572549)the National Key Technology R&D Program of China (2015BAD12B01-2) from the Ministry of Science and Technology of China
文摘supported by the Earmarked Fund for Modern Agro-industry Technology Research System of China （CARS-36） from the Ministry of Agriculture of China;the National Natural Science Foundation of China （31572549）;the National Key Technology R＆D Program of China （2015BAD12B01-2） from the Ministry of Science and Technology of China
基金supported by the National Natural Science Foundation of China(Grant Nos.32300430,32100533,and 31970630)the Open Grant Funds from Shenzhen Bay Laboratory(Grant No.SZBL2021080601001 to Lei Li)+1 种基金the Zhejiang Provincial Natural Science Foundation of China(Grant No.LY21C060002)the Ningbo Major Research and Development Plan Project(Grant Nos.2023Z226 and 2023Z171),China.
文摘Growing evidence supports the transcription of enhancer RNAs(eRNAs)and their important roles in gene regulation.However,their interactions with other biomolecules and their corresponding functionality remain poorly understood.In an attempt to facilitate mechanistic research,this study presents eRNA-IDO,the first integrative computational platform for the identification,interactome discovery,and functional annotation of human eRNAs.eRNA-IDO comprises two modules:eRNA-ID and eRNA-Anno.Functionally,eRNA-ID can identify eRNAs from de novo assembled transcriptomes.eRNA-ID includes eight kinds of enhancer makers,enabling users to customize enhancer regions flexibly and conveniently.In addition,eRNA-Anno provides cell-/tissue-specific functional annotation for both new and known eRNAs by analyzing the eRNA interactome from prebuilt or user-defined networks between eRNAs and protein-coding genes.The prebuilt networks include the Genotype-Tissue Expression(GTEx)-based co-expression networks in normal tissues,The Cancer Genome Atlas(TCGA)-based co-expression networks in cancer tissues,and omics-based eRNA-centric regulatory networks.eRNA-IDO can facilitate research on the biogenesis and functions of eRNAs.The eRNA-IDO server is freely available at http://bioinfo.szbl.ac.cn/eRNA_IDO/.
文摘Although metabolic homeostasis disruption,cellular damage,and premature senescence caused by salinity stress are well-documented in the literature,there are few studies investigating cytological changes induced by salinity stress within the altered metabolic landscape of rice,and this study aims to fill that gap.The cytological characterization of root tips(in terms of mitotic index and chromosomal abnormalities such as stickiness,laggards,fragments,bridges,micronuclei,ring chromosomes,and total mitotic abnormalities)was conducted on 10 experimental rice landraces from coastal Bangladesh,grown under post-imbibitional salinity stress(PISS),while correlating these changes with their metabolic status.The results revealed a strong correlation between salinity-induced cytological changes in root cells(mitotic index and chromosomal abnormalities)and the redox interactome status of all experimental rice landraces.The landraces Kutepatnai,Talmugur,Nonakochi,and Benapol,which exhibited a higher ability to mitigate PISS-induced chromosomal abnormalities and improve mitotic index,also showed lower accumulation of oxidative stress markers(protein carbonylation,lipid peroxidation,prooxidant accumulation,oxidative stress index,reactive oxygen species(ROS)-antioxidative stress index,and efficiency of ROS processing via the Halliwell-Asada pathway)compared with more susceptible landraces(Charobalam,Jotaibalam,Kachra,and Lalmota).These findings underscore the role of redox biology in preventing chromotoxic effects under salinity stress.Hierarchical cluster analysis and principal component analysis,used to determine variations and similarities among the experimental rice landraces based on cytological attributes,redox interactome,and physiological phenotypes,classified the landraces according to their salinity tolerance and sensitivity.This study proposes a novel approach for exploring redox-regulated cytological fingerprints as a tool for identifying salinity-tolerant rice landraces.
基金This research was supported by the National Natural Science Foundation of China(92035302,31922068)the Fundamental Research Funds for the Central Universities(ZK201908)+2 种基金the Fundamental Research Funds for the Central Universities(2662020ZKPY017)the Huazhong Agricultural University Scientific&Technological Self-innovation Foundation(2015R016)the China Postdoctoral Science Foundation(2019M662666).
文摘The functional genes underlying phenotypic variation and their interactions represent“genetic mysteries”.Understanding and utilizing these genetic mysteries are key solutions for mitigating the current threats to agriculture posed by population growth and individual food preferences.Due to advances in highthroughput multi-omics technologies,we are stepping into an Interactome Big Data era that is certain to revolutionize genetic research.In this article,we provide a brief overview of current strategies to explore genetic mysteries.We then introduce the methods for constructing and analyzing the Interactome Big Data and summarize currently available interactome resources.Next,we discuss how Interactome Big Data can be used as a versatile tool to dissect genetic mysteries.We propose an integrated strategy that could revolutionize genetic research by combining Interactome Big Data with machine learning,which involves mining information hidden in Big Data to identify the genetic models or networks that control various traits,and also provide a detailed procedure for systematic dissection of genetic mysteries,Finally,we discuss three promising future breeding strategies utilizing the Interactome Big Data to improve crop yields and quality.
基金supported by the National Natural Science Foundation of China(Grant No.30771326,30971743,31050110121)the National Science and Technology Project of China(Grant No.2008AA10Z125,2008ZX08003-005,2009DFA32030)the Program for New Century Excellent Talents in University of China(Grant No.NCET-07-0740)
文摘Plant protein-protein interaction networks have not been identified by large-scale experiments. In order to better understand the protein interactions in rice, the Predicted Rice Interactome Network （PRIN; http：//bis.zju.edu.cn/ prin/） presented 76,585 predicted interactions involving 5,049 rice proteins. After mapping genomic features of rice （GO annotation, subcellular localizationprediction, and gene expression）, we found that a well-annotated and biologically significant network is rich enough to capture many significant functional linkages within higher-order biological systems, such as pathways and biological processes. Furthermore, we took MADS-box do- main-containing proteins and circadian rhythm signaling pathways as examples to demonstrate that functional protein complexes and biological pathways could be effectively expanded in our predicted network. The expanded molecular network in PRIN has considerably improved the capability of these analyses to integrate existing knowledge and provide novel insights into the function and coordination of genes and gene networks.
文摘Objective: To explore the molecular-level mechanism on the hematopoiesis effect of Angelicae sinensis Radix(ASR) with systems-based interactome analysis. Methods: This systems-based interactome analysis was designed to enforce the workflow of "ASR(herb)→compound→target protein→internal protein actions→ending regulated protein for hematopoiesis". This workflow was deployed with restrictions on regulated proteins expresses in bone marrow and anemia disease and futher validated with experiments. Results: The hematopoiesis mechanism of ASR might be accomplished through regulating pathways of cell proliferation towards hemopoiesis with cross-talking agents of spleen tyrosine kinase(SYK), Janus kinase 2(JAK2), and interleukin-2-inducible T-cell kinase(ITK). The hematopoietic function of ASR was also validated by colonyforming assay performed on mice bone marrow cells. As a result, SYK, JAK2 and ITK were activated. Conclusion: This study provides a new approach to systematically study and predict the therapeutic mechanism for ASR based on interactome analysis towards biological process with experimental validations.
基金supported in part by Singapore National Research Foundation under Grant No. NRF-G-CRP-2997-04-082(d)
文摘Drug-resistant varieties of pathogens are now a recognized global threat. Insights into the routes for drug resistance in these pathogens are critical for developing more effective antibacterial drugs. A systems-level analysis of the genes, proteins, and interactions involved is an important step to gaining such insights. This paper discusses some of the computational challenges that must be surmounted to enable such an analysis; viz., unreliability of bacterial interactome maps, paucity of bacterial interactome maps, and identification of pathways to bacterial drug resistance.
基金supported by funding from the Bluesand Foundation,Alzheimer's Association(AARG-21-852072 and Bias Frangione Early Career Achievement Award)to EDan Australian Government Research Training Program scholarship and the University of Sydney's Brain and Mind Centre fellowship to AH。
文摘Tauopathies,diseases characterized by neuropathological aggregates of tau including Alzheimer's disease and subtypes of fro ntotemporal dementia,make up the vast majority of dementia cases.Although there have been recent developments in tauopathy biomarkers and disease-modifying treatments,ongoing progress is required to ensure these are effective,economical,and accessible for the globally ageing population.As such,continued identification of new potential drug targets and biomarkers is critical."Big data"studies,such as proteomics,can generate information on thousands of possible new targets for dementia diagnostics and therapeutics,but currently remain underutilized due to the lack of a clear process by which targets are selected for future drug development.In this review,we discuss current tauopathy biomarkers and therapeutics,and highlight areas in need of improvement,particularly when addressing the needs of frail,comorbid and cognitively impaired populations.We highlight biomarkers which have been developed from proteomic data,and outline possible future directions in this field.We propose new criteria by which potential targets in proteomics studies can be objectively ranked as favorable for drug development,and demonstrate its application to our group's recent tau interactome dataset as an example.
文摘Base excision repair （BER） is an evolutionarily conserved process for maintaining genomic integrity by eliminating several dozen damaged （oxidized or aikylated） or inappropriate bases that are generated endogenously or induced by genotoxicants, predominantly, reactive oxygen species （ROS）. BER involves 4-5 steps starting with base excision by a DNA glycosylase, followed by a common pathway usually involving an AP-endonuclease （APE） to generate 3＇ OH terminus at the damage site, followed by repair synthesis with a DNA polymerase and nick sealing by a DNA iigase. This pathway is also responsible for repairing DNA single-strand breaks with blocked termini directly generated by ROS. Nearly all glycosylases, far fewer than their substrate lesions particularly for oxidized bases, have broad and overlapping substrate range, and could serve as back-up enzymes in vivo. In contrast, mammalian cells encode only one APE, APEI, unlike two APEs in lower organisms. In spite of overall similarity, BER with distinct subpathways in the mammals is more complex than in E. coli. The glycosylases form complexes with downstream proteins to carry out efficient repair via distinct subpathways one of which, responsible for repair of strand breaks with 3＇ phosphate termini generated by the NEIL family glycosylases or by ROS, requires the phosphatase activity of polynucleotide kinase instead of APE1. Different complexes may utilize distinct DNA polymerases and iigases. Mammalian glycosylases have nonconserved extensions at one of the termini, dispensable for enzymatic activity but needed for interaction with other BER and non-BER proteins for complex formation and organeile targeting. The mammalian enzymes are sometimes covalently modified which may affect activity and complex formation. The focus of this review is on the early steps in mammalian BER for oxidized damage.
基金funded by INRAE and Agence Nationale de la Recherche under the grant number ANR-18-CE92-0049supported by grants from Biogenouest+1 种基金Infrastructures en Biologie Santéet Agronomie (IBiSA)Conseil Régional de Bretagne awarded to Protim proteomics core facility。
文摘Background Spermatozoa interact with oviduct secretions before fertilization in vivo but the molecular players of this dialog and underlying dynamics remain largely unknown.Our objectives were to identify an exhaustive list of sperm-interacting proteins(SIPs)in the bovine oviduct fluid and to evaluate the impact of the oviduct anatomical region(isthmus vs.ampulla)and time relative to ovulation(pre-ovulatory vs.post-ovulatory)on SIPs number and abundance.Methods Pools of oviduct fluid(OF)from the pre-ovulatory ampulla,pre-ovulatory isthmus,post-ovulatory ampulla,and post-ovulatory isthmus in the side of ovulation were collected from the slaughterhouse.Frozen-thawed bull sperm were incubated with OF or phosphate-buffered saline(control)for 60 min at 38.5℃.After protein extraction and digestion,sperm and OF samples were analyzed by nanoLC-MS/MS and label-free protein quantification.Results A quantitative comparison between proteins identified in sperm and OF samples(2333 and 2471 proteins,respectively)allowed for the identification of 245 SIPs.The highest number(187)were found in the pre-ovulatory isthmus,i.e.,time and place of the sperm reservoir.In total,41 SIPs(17%)were differentially abundant between stages in a given region or between regions at a given stage and 76 SIPs(31%)were identified in only one region×stage condition.Functional analysis of SIPs predicted roles in cell response to stress,regulation of cell motility,fertilization,and early embryo development.Conclusion This study provides a comprehensive list of SIPs in the bovine oviduct and evidences dynamic spatiotemporal changes in sperm-oviduct interactions around ovulation time.Moreover,these data provide protein candidates to improve sperm conservation and in vitro fertilization media.
文摘The ‘‘omics sciences’’ (genomics, transcriptomics, proteomics) are often used to study living organisms as a whole system by evaluating the complex expression patterns of genes, miRNA, proteins, and metabolites. This study aimed, through bioinformatics and systems biology, to decipher the cytokinome profile in the evolution of inflammatory processes leading to cancer. The cytokinome was defined as the totality of cytokines and their interactions in and around biological cells. The system biology approach would provide a better understanding of the complex interaction network of cytokines, especially in cancer patients. Acquired knowledge would enable health providers with tools to evaluate disease onset through progression as well as identifying innovative therapeutic strategies. Understanding the role each cytokine plays in the metabolic network is of great importance. This paper reviews our group’s ‘‘omics’’ work. In particular, it addresses the role cytokines play in liver disease in six different scenarios. The first is the role the cytokines play in chronic inflammatory diseases and cancers. The second is the significance of the cytokinome profile. The third is the role of liver cirrhosis as an inflammatory disease. The fourth is the comparison of cytokine levels evaluated in patients with chronic hepatitis C virus (HCV) or with HCV-related cirrhosis. The fifth is the comparison of cytokine levels evaluated in patients with HCV-related cirrhosis in the presence and absence of type 2 diabetes. And lastly, we present a comparison of cytokine levels evaluated in patients with HCV-related cirrhosis in the presence and absence of hepatocellular carcinoma.
文摘The study of the neuron has always been a fundamental aspect when it came to studying mental illnesses such as autism and depression. The protein protocadherin-9 (PCDH9) is an important transmembrane protein in the development of the neuron synapse. Hence, research on its protein interactome is key to understanding its functionality and specific properties. A newly discovered biotin ligase, TurboID, is a proximity labeler that is designed to be able to label and observe transmembrane proteins, something that previous methods struggled with. The TurboID method is verified in HEK293T cells and primary cultured mouse cortical neurons. Results have proven the validity of the TurboID method in observing PCDH9-interacting proteins.
