Integrated multiomics analysis identifies molecular landscape perturbations during hyperammonemia in skeletal muscle and myotubes
Ammonia is a cytotoxic molecule generated during normal cellular functions. Dysregulated ammonia metabolism, which is evident in many chronic diseases such as liver cirrhosis, heart failure, and chronic obstructive pulmonary disease, initiates a hyperammonemic stress response in tissues including sk...
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creator | Welch, Nicole Singh, Shashi Shekhar Kumar, Avinash Dhruba, Saugato Rahman Mishra, Saurabh Sekar, Jinendiran Bellar, Annette Attaway, Amy H. Chelluboyina, Aruna Willard, Belinda B. Li, Ling Huo, Zhiguang Karnik, Sadashiva S. Esser, Karyn Longworth, Michelle S. Shah, Yatrik M. Davuluri, Gangarao Pal, Ranadip Dasarathy, Srinivasan |
description | Ammonia is a cytotoxic molecule generated during normal cellular functions. Dysregulated ammonia metabolism, which is evident in many chronic diseases such as liver cirrhosis, heart failure, and chronic obstructive pulmonary disease, initiates a hyperammonemic stress response in tissues including skeletal muscle and in myotubes. Perturbations in levels of specific regulatory molecules have been reported, but the global responses to hyperammonemia are unclear. In this study, we used a multiomics approach to vertically integrate unbiased data generated using an assay for transposase-accessible chromatin with high-throughput sequencing, RNA-Seq, and proteomics. We then horizontally integrated these data across different models of hyperammonemia, including myotubes and mouse and human muscle tissues. Changes in chromatin accessibility and/or expression of genes resulted in distinct clusters of temporal molecular changes including transient, persistent, and delayed responses during hyperammonemia in myotubes. Known responses to hyperammonemia, including mitochondrial and oxidative dysfunction, protein homeostasis disruption, and oxidative stress pathway activation, were enriched in our datasets. During hyperammonemia, pathways that impact skeletal muscle structure and function that were consistently enriched were those that contribute to mitochondrial dysfunction, oxidative stress, and senescence. We made several novel observations, including an enrichment in antiapoptotic B-cell leukemia/lymphoma 2 family protein expression, increased calcium flux, and increased protein glycosylation in myotubes and muscle tissue upon hyperammonemia. Critical molecules in these pathways were validated experimentally. Human skeletal muscle from patients with cirrhosis displayed similar responses, establishing translational relevance. These data demonstrate complex molecular interactions during adaptive and maladaptive responses during the cellular stress response to hyperammonemia. |
doi_str_mv | 10.1016/j.jbc.2021.101023 |
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Dysregulated ammonia metabolism, which is evident in many chronic diseases such as liver cirrhosis, heart failure, and chronic obstructive pulmonary disease, initiates a hyperammonemic stress response in tissues including skeletal muscle and in myotubes. Perturbations in levels of specific regulatory molecules have been reported, but the global responses to hyperammonemia are unclear. In this study, we used a multiomics approach to vertically integrate unbiased data generated using an assay for transposase-accessible chromatin with high-throughput sequencing, RNA-Seq, and proteomics. We then horizontally integrated these data across different models of hyperammonemia, including myotubes and mouse and human muscle tissues. Changes in chromatin accessibility and/or expression of genes resulted in distinct clusters of temporal molecular changes including transient, persistent, and delayed responses during hyperammonemia in myotubes. Known responses to hyperammonemia, including mitochondrial and oxidative dysfunction, protein homeostasis disruption, and oxidative stress pathway activation, were enriched in our datasets. During hyperammonemia, pathways that impact skeletal muscle structure and function that were consistently enriched were those that contribute to mitochondrial dysfunction, oxidative stress, and senescence. We made several novel observations, including an enrichment in antiapoptotic B-cell leukemia/lymphoma 2 family protein expression, increased calcium flux, and increased protein glycosylation in myotubes and muscle tissue upon hyperammonemia. Critical molecules in these pathways were validated experimentally. Human skeletal muscle from patients with cirrhosis displayed similar responses, establishing translational relevance. These data demonstrate complex molecular interactions during adaptive and maladaptive responses during the cellular stress response to hyperammonemia.</description><identifier>ISSN: 0021-9258</identifier><identifier>EISSN: 1083-351X</identifier><identifier>DOI: 10.1016/j.jbc.2021.101023</identifier><identifier>PMID: 34343564</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Animals ; bioinformatics ; Flow Cytometry ; Genomics ; glycosylation ; Humans ; Hyperammonemia - genetics ; Hyperammonemia - metabolism ; hypoxia-inducible factor ; Immunoblotting - methods ; Mice ; Muscle Fibers, Skeletal - metabolism ; Muscle, Skeletal - metabolism ; Proteomics ; Real-Time Polymerase Chain Reaction ; Reproducibility of Results ; senescence ; skeletal muscle metabolism ; Transcriptome</subject><ispartof>The Journal of biological chemistry, 2021-09, Vol.297 (3), p.101023-101023, Article 101023</ispartof><rights>2021 The Authors</rights><rights>Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.</rights><rights>2021 The Authors 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c451t-4511db1674657137a0a7419274aac58da94f036ccebc84a334cdb7dad98754c83</citedby><cites>FETCH-LOGICAL-c451t-4511db1674657137a0a7419274aac58da94f036ccebc84a334cdb7dad98754c83</cites><orcidid>0000-0002-9294-4855 ; 0000-0002-4655-5146 ; 0000-0003-1774-0104 ; 0000-0002-2487-4816 ; 0000-0001-5947-6757</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424232/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8424232/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34343564$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Welch, Nicole</creatorcontrib><creatorcontrib>Singh, Shashi Shekhar</creatorcontrib><creatorcontrib>Kumar, Avinash</creatorcontrib><creatorcontrib>Dhruba, Saugato Rahman</creatorcontrib><creatorcontrib>Mishra, Saurabh</creatorcontrib><creatorcontrib>Sekar, Jinendiran</creatorcontrib><creatorcontrib>Bellar, Annette</creatorcontrib><creatorcontrib>Attaway, Amy H.</creatorcontrib><creatorcontrib>Chelluboyina, Aruna</creatorcontrib><creatorcontrib>Willard, Belinda B.</creatorcontrib><creatorcontrib>Li, Ling</creatorcontrib><creatorcontrib>Huo, Zhiguang</creatorcontrib><creatorcontrib>Karnik, Sadashiva S.</creatorcontrib><creatorcontrib>Esser, Karyn</creatorcontrib><creatorcontrib>Longworth, Michelle S.</creatorcontrib><creatorcontrib>Shah, Yatrik M.</creatorcontrib><creatorcontrib>Davuluri, Gangarao</creatorcontrib><creatorcontrib>Pal, Ranadip</creatorcontrib><creatorcontrib>Dasarathy, Srinivasan</creatorcontrib><title>Integrated multiomics analysis identifies molecular landscape perturbations during hyperammonemia in skeletal muscle and myotubes</title><title>The Journal of biological chemistry</title><addtitle>J Biol Chem</addtitle><description>Ammonia is a cytotoxic molecule generated during normal cellular functions. Dysregulated ammonia metabolism, which is evident in many chronic diseases such as liver cirrhosis, heart failure, and chronic obstructive pulmonary disease, initiates a hyperammonemic stress response in tissues including skeletal muscle and in myotubes. Perturbations in levels of specific regulatory molecules have been reported, but the global responses to hyperammonemia are unclear. In this study, we used a multiomics approach to vertically integrate unbiased data generated using an assay for transposase-accessible chromatin with high-throughput sequencing, RNA-Seq, and proteomics. We then horizontally integrated these data across different models of hyperammonemia, including myotubes and mouse and human muscle tissues. Changes in chromatin accessibility and/or expression of genes resulted in distinct clusters of temporal molecular changes including transient, persistent, and delayed responses during hyperammonemia in myotubes. Known responses to hyperammonemia, including mitochondrial and oxidative dysfunction, protein homeostasis disruption, and oxidative stress pathway activation, were enriched in our datasets. During hyperammonemia, pathways that impact skeletal muscle structure and function that were consistently enriched were those that contribute to mitochondrial dysfunction, oxidative stress, and senescence. We made several novel observations, including an enrichment in antiapoptotic B-cell leukemia/lymphoma 2 family protein expression, increased calcium flux, and increased protein glycosylation in myotubes and muscle tissue upon hyperammonemia. Critical molecules in these pathways were validated experimentally. Human skeletal muscle from patients with cirrhosis displayed similar responses, establishing translational relevance. These data demonstrate complex molecular interactions during adaptive and maladaptive responses during the cellular stress response to hyperammonemia.</description><subject>Animals</subject><subject>bioinformatics</subject><subject>Flow Cytometry</subject><subject>Genomics</subject><subject>glycosylation</subject><subject>Humans</subject><subject>Hyperammonemia - genetics</subject><subject>Hyperammonemia - metabolism</subject><subject>hypoxia-inducible factor</subject><subject>Immunoblotting - methods</subject><subject>Mice</subject><subject>Muscle Fibers, Skeletal - metabolism</subject><subject>Muscle, Skeletal - metabolism</subject><subject>Proteomics</subject><subject>Real-Time Polymerase Chain Reaction</subject><subject>Reproducibility of Results</subject><subject>senescence</subject><subject>skeletal muscle metabolism</subject><subject>Transcriptome</subject><issn>0021-9258</issn><issn>1083-351X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9UU1rHCEYltLQbNP-gF6Kx15mq6Mz41AolNCPQKCXBHKTd_TdjVtHt-oE9th_XpdNQ3upgqLv86HvQ8gbztac8f79br2bzLplLT-eWSuekRVnSjSi43fPyYrVSjO2nTonL3PesTrkyF-QcyHr7Hq5Ir-uQsFtgoKWzosvLs7OZAoB_CG7TJ3FUNzGYaZz9GgWD4l6CDYb2CPdYypLmqDyQqZ2SS5s6f2hXsM8x4CzA-oCzT_QYwFfLbLxWOWr2yGWZcL8ipxtwGd8_bhfkNsvn28uvzXX379eXX66bozseGnqwu3E-0H23cDFAAwGycd2kACmUxZGuWGiNwYnoyQIIY2dBgt2VEMnjRIX5ONJd79MM1pT_5XA631yM6SDjuD0v5Xg7vU2PmglW9mKtgq8exRI8eeCuejZZYO-dgPjknXbdYqpUfWsQvkJalLMOeHmyYYzfYxO73SNTh-j06foKuft3-97YvzJqgI-nABYu_TgMOlsHAaD1iU0Rdvo_iP_G1sirmg</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Welch, Nicole</creator><creator>Singh, Shashi Shekhar</creator><creator>Kumar, Avinash</creator><creator>Dhruba, Saugato Rahman</creator><creator>Mishra, Saurabh</creator><creator>Sekar, Jinendiran</creator><creator>Bellar, Annette</creator><creator>Attaway, Amy H.</creator><creator>Chelluboyina, Aruna</creator><creator>Willard, Belinda B.</creator><creator>Li, Ling</creator><creator>Huo, Zhiguang</creator><creator>Karnik, Sadashiva S.</creator><creator>Esser, Karyn</creator><creator>Longworth, Michelle S.</creator><creator>Shah, Yatrik M.</creator><creator>Davuluri, Gangarao</creator><creator>Pal, Ranadip</creator><creator>Dasarathy, Srinivasan</creator><general>Elsevier Inc</general><general>American Society for Biochemistry and Molecular Biology</general><scope>6I.</scope><scope>AAFTH</scope><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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-9294-4855</orcidid><orcidid>https://orcid.org/0000-0002-4655-5146</orcidid><orcidid>https://orcid.org/0000-0003-1774-0104</orcidid><orcidid>https://orcid.org/0000-0002-2487-4816</orcidid><orcidid>https://orcid.org/0000-0001-5947-6757</orcidid></search><sort><creationdate>20210901</creationdate><title>Integrated multiomics analysis identifies molecular landscape perturbations during hyperammonemia in skeletal muscle and myotubes</title><author>Welch, Nicole ; Singh, Shashi Shekhar ; Kumar, Avinash ; Dhruba, Saugato Rahman ; Mishra, Saurabh ; Sekar, Jinendiran ; Bellar, Annette ; Attaway, Amy H. ; Chelluboyina, Aruna ; Willard, Belinda B. ; Li, Ling ; Huo, Zhiguang ; Karnik, Sadashiva S. ; Esser, Karyn ; Longworth, Michelle S. ; Shah, Yatrik M. ; Davuluri, Gangarao ; Pal, Ranadip ; Dasarathy, Srinivasan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c451t-4511db1674657137a0a7419274aac58da94f036ccebc84a334cdb7dad98754c83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Animals</topic><topic>bioinformatics</topic><topic>Flow Cytometry</topic><topic>Genomics</topic><topic>glycosylation</topic><topic>Humans</topic><topic>Hyperammonemia - genetics</topic><topic>Hyperammonemia - metabolism</topic><topic>hypoxia-inducible factor</topic><topic>Immunoblotting - methods</topic><topic>Mice</topic><topic>Muscle Fibers, Skeletal - metabolism</topic><topic>Muscle, Skeletal - metabolism</topic><topic>Proteomics</topic><topic>Real-Time Polymerase Chain Reaction</topic><topic>Reproducibility of Results</topic><topic>senescence</topic><topic>skeletal muscle metabolism</topic><topic>Transcriptome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Welch, Nicole</creatorcontrib><creatorcontrib>Singh, Shashi Shekhar</creatorcontrib><creatorcontrib>Kumar, Avinash</creatorcontrib><creatorcontrib>Dhruba, Saugato Rahman</creatorcontrib><creatorcontrib>Mishra, Saurabh</creatorcontrib><creatorcontrib>Sekar, Jinendiran</creatorcontrib><creatorcontrib>Bellar, Annette</creatorcontrib><creatorcontrib>Attaway, Amy H.</creatorcontrib><creatorcontrib>Chelluboyina, Aruna</creatorcontrib><creatorcontrib>Willard, Belinda B.</creatorcontrib><creatorcontrib>Li, Ling</creatorcontrib><creatorcontrib>Huo, Zhiguang</creatorcontrib><creatorcontrib>Karnik, Sadashiva S.</creatorcontrib><creatorcontrib>Esser, Karyn</creatorcontrib><creatorcontrib>Longworth, Michelle S.</creatorcontrib><creatorcontrib>Shah, Yatrik M.</creatorcontrib><creatorcontrib>Davuluri, Gangarao</creatorcontrib><creatorcontrib>Pal, Ranadip</creatorcontrib><creatorcontrib>Dasarathy, Srinivasan</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The Journal of biological chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Welch, Nicole</au><au>Singh, Shashi Shekhar</au><au>Kumar, Avinash</au><au>Dhruba, Saugato Rahman</au><au>Mishra, Saurabh</au><au>Sekar, Jinendiran</au><au>Bellar, Annette</au><au>Attaway, Amy H.</au><au>Chelluboyina, Aruna</au><au>Willard, Belinda B.</au><au>Li, Ling</au><au>Huo, Zhiguang</au><au>Karnik, Sadashiva S.</au><au>Esser, Karyn</au><au>Longworth, Michelle S.</au><au>Shah, Yatrik M.</au><au>Davuluri, Gangarao</au><au>Pal, Ranadip</au><au>Dasarathy, Srinivasan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrated multiomics analysis identifies molecular landscape perturbations during hyperammonemia in skeletal muscle and myotubes</atitle><jtitle>The Journal of biological chemistry</jtitle><addtitle>J Biol Chem</addtitle><date>2021-09-01</date><risdate>2021</risdate><volume>297</volume><issue>3</issue><spage>101023</spage><epage>101023</epage><pages>101023-101023</pages><artnum>101023</artnum><issn>0021-9258</issn><eissn>1083-351X</eissn><abstract>Ammonia is a cytotoxic molecule generated during normal cellular functions. Dysregulated ammonia metabolism, which is evident in many chronic diseases such as liver cirrhosis, heart failure, and chronic obstructive pulmonary disease, initiates a hyperammonemic stress response in tissues including skeletal muscle and in myotubes. Perturbations in levels of specific regulatory molecules have been reported, but the global responses to hyperammonemia are unclear. In this study, we used a multiomics approach to vertically integrate unbiased data generated using an assay for transposase-accessible chromatin with high-throughput sequencing, RNA-Seq, and proteomics. We then horizontally integrated these data across different models of hyperammonemia, including myotubes and mouse and human muscle tissues. Changes in chromatin accessibility and/or expression of genes resulted in distinct clusters of temporal molecular changes including transient, persistent, and delayed responses during hyperammonemia in myotubes. Known responses to hyperammonemia, including mitochondrial and oxidative dysfunction, protein homeostasis disruption, and oxidative stress pathway activation, were enriched in our datasets. During hyperammonemia, pathways that impact skeletal muscle structure and function that were consistently enriched were those that contribute to mitochondrial dysfunction, oxidative stress, and senescence. We made several novel observations, including an enrichment in antiapoptotic B-cell leukemia/lymphoma 2 family protein expression, increased calcium flux, and increased protein glycosylation in myotubes and muscle tissue upon hyperammonemia. Critical molecules in these pathways were validated experimentally. Human skeletal muscle from patients with cirrhosis displayed similar responses, establishing translational relevance. These data demonstrate complex molecular interactions during adaptive and maladaptive responses during the cellular stress response to hyperammonemia.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>34343564</pmid><doi>10.1016/j.jbc.2021.101023</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-9294-4855</orcidid><orcidid>https://orcid.org/0000-0002-4655-5146</orcidid><orcidid>https://orcid.org/0000-0003-1774-0104</orcidid><orcidid>https://orcid.org/0000-0002-2487-4816</orcidid><orcidid>https://orcid.org/0000-0001-5947-6757</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animals bioinformatics Flow Cytometry Genomics glycosylation Humans Hyperammonemia - genetics Hyperammonemia - metabolism hypoxia-inducible factor Immunoblotting - methods Mice Muscle Fibers, Skeletal - metabolism Muscle, Skeletal - metabolism Proteomics Real-Time Polymerase Chain Reaction Reproducibility of Results senescence skeletal muscle metabolism Transcriptome |
title | Integrated multiomics analysis identifies molecular landscape perturbations during hyperammonemia in skeletal muscle and myotubes |
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