Disease‐specific interactome alterations via epichaperomics: the case for Alzheimer’s disease
The increasingly appreciated prevalence of complicated stressor‐to‐phenotype associations in human disease requires a greater understanding of how specific stressors affect systems or interactome properties. Many currently untreatable diseases arise due to variations in, and through a combination of...
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Veröffentlicht in: | The FEBS journal 2022-04, Vol.289 (8), p.2047-2066 |
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description | The increasingly appreciated prevalence of complicated stressor‐to‐phenotype associations in human disease requires a greater understanding of how specific stressors affect systems or interactome properties. Many currently untreatable diseases arise due to variations in, and through a combination of, multiple stressors of genetic, epigenetic, and environmental nature. Unfortunately, how such stressors lead to a specific disease phenotype or inflict a vulnerability to some cells and tissues but not others remains largely unknown and unsatisfactorily addressed. Analysis of cell‐ and tissue‐specific interactome networks may shed light on organization of biological systems and subsequently to disease vulnerabilities. However, deriving human interactomes across different cell and disease contexts remains a challenge. To this end, this opinion article links stressor‐induced protein interactome network perturbations to the formation of pathologic scaffolds termed epichaperomes, revealing a viable and reproducible experimental solution to obtaining rigorous context‐dependent interactomes. This article presents our views on how a specialized ‘omics platform called epichaperomics may complement and enhance the currently available conventional approaches and aid the scientific community in defining, understanding, and ultimately controlling interactome networks of complex diseases such as Alzheimer’s disease. Ultimately, this approach may aid the transition from a limited single‐alteration perspective in disease to a comprehensive network‐based mindset, which we posit will result in precision medicine paradigms for disease diagnosis and treatment.
This opinion piece presents our view how understanding interactome networks of complex diseases such as Alzheimer’s disease through epichaperomics may aid the transition from a limited single‐alteration perspective in disease to a comprehensive network‐based mindset. We posit a treatment paradigm may open and provide a previously unavailable precision medicine approach by understanding and targeting the interactome. |
doi_str_mv | 10.1111/febs.16031 |
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This opinion piece presents our view how understanding interactome networks of complex diseases such as Alzheimer’s disease through epichaperomics may aid the transition from a limited single‐alteration perspective in disease to a comprehensive network‐based mindset. We posit a treatment paradigm may open and provide a previously unavailable precision medicine approach by understanding and targeting the interactome.</description><identifier>ISSN: 1742-464X</identifier><identifier>EISSN: 1742-4658</identifier><identifier>DOI: 10.1111/febs.16031</identifier><identifier>PMID: 34028172</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Alzheimer Disease - genetics ; Alzheimer's disease ; complex diseases ; edgetic perturbations in disease ; epichaperome ; epichaperomics ; Epigenetics ; Humans ; interactome network dysfunctions ; Neurodegenerative diseases ; Perturbation ; Phenotype ; Phenotypes ; Precision Medicine ; protein connectivity dysfunctions ; Proteins ; protein–protein interactions ; tissue‐specific interactome</subject><ispartof>The FEBS journal, 2022-04, Vol.289 (8), p.2047-2066</ispartof><rights>2021 Federation of European Biochemical Societies</rights><rights>2021 Federation of European Biochemical Societies.</rights><rights>Copyright © 2022 Federation of European Biochemical Societies</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4481-fb85cac931a8ae0f281aecc33a70455bb31098d7290302f4095581fe289c8de23</citedby><cites>FETCH-LOGICAL-c4481-fb85cac931a8ae0f281aecc33a70455bb31098d7290302f4095581fe289c8de23</cites><orcidid>0000-0003-0486-6920</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Ffebs.16031$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Ffebs.16031$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,27903,27904,45553,45554,46387,46811</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34028172$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ginsberg, Stephen D.</creatorcontrib><creatorcontrib>Neubert, Thomas A.</creatorcontrib><creatorcontrib>Sharma, Sahil</creatorcontrib><creatorcontrib>Digwal, Chander S.</creatorcontrib><creatorcontrib>Yan, Pengrong</creatorcontrib><creatorcontrib>Timbus, Calin</creatorcontrib><creatorcontrib>Wang, Tai</creatorcontrib><creatorcontrib>Chiosis, Gabriela</creatorcontrib><title>Disease‐specific interactome alterations via epichaperomics: the case for Alzheimer’s disease</title><title>The FEBS journal</title><addtitle>FEBS J</addtitle><description>The increasingly appreciated prevalence of complicated stressor‐to‐phenotype associations in human disease requires a greater understanding of how specific stressors affect systems or interactome properties. Many currently untreatable diseases arise due to variations in, and through a combination of, multiple stressors of genetic, epigenetic, and environmental nature. Unfortunately, how such stressors lead to a specific disease phenotype or inflict a vulnerability to some cells and tissues but not others remains largely unknown and unsatisfactorily addressed. Analysis of cell‐ and tissue‐specific interactome networks may shed light on organization of biological systems and subsequently to disease vulnerabilities. However, deriving human interactomes across different cell and disease contexts remains a challenge. To this end, this opinion article links stressor‐induced protein interactome network perturbations to the formation of pathologic scaffolds termed epichaperomes, revealing a viable and reproducible experimental solution to obtaining rigorous context‐dependent interactomes. This article presents our views on how a specialized ‘omics platform called epichaperomics may complement and enhance the currently available conventional approaches and aid the scientific community in defining, understanding, and ultimately controlling interactome networks of complex diseases such as Alzheimer’s disease. Ultimately, this approach may aid the transition from a limited single‐alteration perspective in disease to a comprehensive network‐based mindset, which we posit will result in precision medicine paradigms for disease diagnosis and treatment.
This opinion piece presents our view how understanding interactome networks of complex diseases such as Alzheimer’s disease through epichaperomics may aid the transition from a limited single‐alteration perspective in disease to a comprehensive network‐based mindset. We posit a treatment paradigm may open and provide a previously unavailable precision medicine approach by understanding and targeting the interactome.</description><subject>Alzheimer Disease - genetics</subject><subject>Alzheimer's disease</subject><subject>complex diseases</subject><subject>edgetic perturbations in disease</subject><subject>epichaperome</subject><subject>epichaperomics</subject><subject>Epigenetics</subject><subject>Humans</subject><subject>interactome network dysfunctions</subject><subject>Neurodegenerative diseases</subject><subject>Perturbation</subject><subject>Phenotype</subject><subject>Phenotypes</subject><subject>Precision Medicine</subject><subject>protein connectivity dysfunctions</subject><subject>Proteins</subject><subject>protein–protein interactions</subject><subject>tissue‐specific interactome</subject><issn>1742-464X</issn><issn>1742-4658</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1KHTEYhkOp1L9uegEScCPCsfmdybgoqPUPBBdtobuQyfnSE5mZTJM5iq68hG69Pa_EHMceqotmkw_y5OFNXoQ-UbJH8_rsoE57tCCcvkNrtBRsIgqp3i9n8XMVrad0RQiXoqo-oFUuCFO0ZGvIfPUJTILH-z-pB-udt9h3A0Rjh9ACNs1iHnzoEr72BkPv7cz0EEPrbdrHwwywzfexCxEfNHcz8C3Ex_uHhKejeROtONMk-Piyb6AfJ8ffj84mF5en50cHFxMrhKITVytpja04NcoAcTmfAWs5NyURUtY1p6RS05JVhBPmBKmkVNQBU5VVU2B8A30Zvf28bmFqoRuiaXQffWvirQ7G69cnnZ_pX-FaqyJ_IuFZsPMiiOH3HNKgW58sNI3pIMyTZpJTyUVJF-j2G_QqzGOXn6dZIRkhVMoiU7sjZWNIKYJbhqFEL5rTi-b0c3MZ3vo3_hL9W1UG6Ajc-AZu_6PSJ8eH30bpE4URpsE</recordid><startdate>202204</startdate><enddate>202204</enddate><creator>Ginsberg, Stephen D.</creator><creator>Neubert, Thomas A.</creator><creator>Sharma, Sahil</creator><creator>Digwal, Chander S.</creator><creator>Yan, Pengrong</creator><creator>Timbus, Calin</creator><creator>Wang, Tai</creator><creator>Chiosis, Gabriela</creator><general>Blackwell Publishing Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7TK</scope><scope>7TM</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0486-6920</orcidid></search><sort><creationdate>202204</creationdate><title>Disease‐specific interactome alterations via epichaperomics: the case for Alzheimer’s disease</title><author>Ginsberg, Stephen D. ; Neubert, Thomas A. ; Sharma, Sahil ; Digwal, Chander S. ; Yan, Pengrong ; Timbus, Calin ; Wang, Tai ; Chiosis, Gabriela</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4481-fb85cac931a8ae0f281aecc33a70455bb31098d7290302f4095581fe289c8de23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Alzheimer Disease - genetics</topic><topic>Alzheimer's disease</topic><topic>complex diseases</topic><topic>edgetic perturbations in disease</topic><topic>epichaperome</topic><topic>epichaperomics</topic><topic>Epigenetics</topic><topic>Humans</topic><topic>interactome network dysfunctions</topic><topic>Neurodegenerative diseases</topic><topic>Perturbation</topic><topic>Phenotype</topic><topic>Phenotypes</topic><topic>Precision Medicine</topic><topic>protein connectivity dysfunctions</topic><topic>Proteins</topic><topic>protein–protein interactions</topic><topic>tissue‐specific interactome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ginsberg, Stephen D.</creatorcontrib><creatorcontrib>Neubert, Thomas A.</creatorcontrib><creatorcontrib>Sharma, Sahil</creatorcontrib><creatorcontrib>Digwal, Chander S.</creatorcontrib><creatorcontrib>Yan, Pengrong</creatorcontrib><creatorcontrib>Timbus, Calin</creatorcontrib><creatorcontrib>Wang, Tai</creatorcontrib><creatorcontrib>Chiosis, Gabriela</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The FEBS journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ginsberg, Stephen D.</au><au>Neubert, Thomas A.</au><au>Sharma, Sahil</au><au>Digwal, Chander S.</au><au>Yan, Pengrong</au><au>Timbus, Calin</au><au>Wang, Tai</au><au>Chiosis, Gabriela</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Disease‐specific interactome alterations via epichaperomics: the case for Alzheimer’s disease</atitle><jtitle>The FEBS journal</jtitle><addtitle>FEBS J</addtitle><date>2022-04</date><risdate>2022</risdate><volume>289</volume><issue>8</issue><spage>2047</spage><epage>2066</epage><pages>2047-2066</pages><issn>1742-464X</issn><eissn>1742-4658</eissn><abstract>The increasingly appreciated prevalence of complicated stressor‐to‐phenotype associations in human disease requires a greater understanding of how specific stressors affect systems or interactome properties. Many currently untreatable diseases arise due to variations in, and through a combination of, multiple stressors of genetic, epigenetic, and environmental nature. Unfortunately, how such stressors lead to a specific disease phenotype or inflict a vulnerability to some cells and tissues but not others remains largely unknown and unsatisfactorily addressed. Analysis of cell‐ and tissue‐specific interactome networks may shed light on organization of biological systems and subsequently to disease vulnerabilities. However, deriving human interactomes across different cell and disease contexts remains a challenge. To this end, this opinion article links stressor‐induced protein interactome network perturbations to the formation of pathologic scaffolds termed epichaperomes, revealing a viable and reproducible experimental solution to obtaining rigorous context‐dependent interactomes. This article presents our views on how a specialized ‘omics platform called epichaperomics may complement and enhance the currently available conventional approaches and aid the scientific community in defining, understanding, and ultimately controlling interactome networks of complex diseases such as Alzheimer’s disease. Ultimately, this approach may aid the transition from a limited single‐alteration perspective in disease to a comprehensive network‐based mindset, which we posit will result in precision medicine paradigms for disease diagnosis and treatment.
This opinion piece presents our view how understanding interactome networks of complex diseases such as Alzheimer’s disease through epichaperomics may aid the transition from a limited single‐alteration perspective in disease to a comprehensive network‐based mindset. We posit a treatment paradigm may open and provide a previously unavailable precision medicine approach by understanding and targeting the interactome.</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>34028172</pmid><doi>10.1111/febs.16031</doi><tpages>2066</tpages><orcidid>https://orcid.org/0000-0003-0486-6920</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Alzheimer Disease - genetics Alzheimer's disease complex diseases edgetic perturbations in disease epichaperome epichaperomics Epigenetics Humans interactome network dysfunctions Neurodegenerative diseases Perturbation Phenotype Phenotypes Precision Medicine protein connectivity dysfunctions Proteins protein–protein interactions tissue‐specific interactome |
title | Disease‐specific interactome alterations via epichaperomics: the case for Alzheimer’s disease |
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