What Can Ribo-Seq, Immunopeptidomics, and Proteomics Tell Us About the Noncanonical Proteome?
Ribosome profiling (Ribo-Seq) has proven transformative for our understanding of the human genome and proteome by illuminating thousands of noncanonical sites of ribosome translation outside the currently annotated coding sequences (CDSs). A conservative estimate suggests that at least 7000 noncanon...
Gespeichert in:
Veröffentlicht in: | Molecular & cellular proteomics 2023-09, Vol.22 (9), p.100631, Article 100631 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 9 |
container_start_page | 100631 |
container_title | Molecular & cellular proteomics |
container_volume | 22 |
creator | Prensner, John R. Abelin, Jennifer G. Kok, Leron W. Clauser, Karl R. Mudge, Jonathan M. Ruiz-Orera, Jorge Bassani-Sternberg, Michal Moritz, Robert L. Deutsch, Eric W. van Heesch, Sebastiaan |
description | Ribosome profiling (Ribo-Seq) has proven transformative for our understanding of the human genome and proteome by illuminating thousands of noncanonical sites of ribosome translation outside the currently annotated coding sequences (CDSs). A conservative estimate suggests that at least 7000 noncanonical ORFs are translated, which, at first glance, has the potential to expand the number of human protein CDSs by 30%, from ∼19,500 annotated CDSs to over 26,000 annotated CDSs. Yet, additional scrutiny of these ORFs has raised numerous questions about what fraction of them truly produce a protein product and what fraction of those can be understood as proteins according to conventional understanding of the term. Adding further complication is the fact that published estimates of noncanonical ORFs vary widely by around 30-fold, from several thousand to several hundred thousand. The summation of this research has left the genomics and proteomics communities both excited by the prospect of new coding regions in the human genome but searching for guidance on how to proceed. Here, we discuss the current state of noncanonical ORF research, databases, and interpretation, focusing on how to assess whether a given ORF can be said to be “protein coding.”
[Display omitted]
•Ribo-seq paired with proteomics-based methods optimally detects noncanonical ORFs.•Data quality and analytical pipelines impact the output of a Ribo-seq experiment.•Noncanonical ORF catalogs variably report both high- and low-stringency nominations.•A framework for standardized noncanonical ORF evidence will advance the field.
The human genome encodes thousands of noncanonical ORFs along with protein-coding genes. As a nascent field, many questions about them remain: How many exist? Do they encode proteins? What evidence is needed for their verification? Central to these debates has been the advent of ribosome profiling (Ribo-Seq) to discern genome-wide ribosome occupancy and immunopeptidomics to detect peptides presented by major histocompatibility complex molecules. This article synthesizes the current state of noncanonical ORF research and proposes standards for their future investigation and reporting. |
doi_str_mv | 10.1016/j.mcpro.2023.100631 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10506109</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1535947623001421</els_id><sourcerecordid>2850312783</sourcerecordid><originalsourceid>FETCH-LOGICAL-c460t-7018edb978042e487a1461a64c08efa8436115ee5bf19f629a41f502f86b581f3</originalsourceid><addsrcrecordid>eNp9kUtv1DAURiMEoqXwC5CQlyyawW87C1RVo9JWqgBBK1bIcpwbxqPETm2nEv-etNOOYMPKr3O_a_tU1VuCVwQT-WG7Gt2U4opiypYdLBl5Vh0SwUTdcM2f7-dKHlSvct5iTDFR4mV1wJRQVDX4sPr5Y2MLWtuAvvk21t_h9hhdjuMc4gRT8V0cvcvHyIYOfU2xwMMaXcMwoJuMTts4F1Q2gD7H4GyIwTs7PJFw8rp60dshw5vH8ai6-XR2vb6or76cX65Pr2rHJS61wkRD1zZKY06Ba2UJl8RK7rCG3mrOJCECQLQ9aXpJG8tJLzDttWyFJj07qk52udPcjtA5CCXZwUzJjzb9NtF68-9J8BvzK94ZggWWBDdLwvvHhBRvZ8jFjD675Zk2QJyzoVpgRqjSbEHZDnUp5pyg3_ch2NybMVvzYMbcmzE7M0vVu7-vuK95UrEAH3cALB915yGZ7DwEB51P4Irpov9vgz-876A_</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2850312783</pqid></control><display><type>article</type><title>What Can Ribo-Seq, Immunopeptidomics, and Proteomics Tell Us About the Noncanonical Proteome?</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><creator>Prensner, John R. ; Abelin, Jennifer G. ; Kok, Leron W. ; Clauser, Karl R. ; Mudge, Jonathan M. ; Ruiz-Orera, Jorge ; Bassani-Sternberg, Michal ; Moritz, Robert L. ; Deutsch, Eric W. ; van Heesch, Sebastiaan</creator><creatorcontrib>Prensner, John R. ; Abelin, Jennifer G. ; Kok, Leron W. ; Clauser, Karl R. ; Mudge, Jonathan M. ; Ruiz-Orera, Jorge ; Bassani-Sternberg, Michal ; Moritz, Robert L. ; Deutsch, Eric W. ; van Heesch, Sebastiaan</creatorcontrib><description>Ribosome profiling (Ribo-Seq) has proven transformative for our understanding of the human genome and proteome by illuminating thousands of noncanonical sites of ribosome translation outside the currently annotated coding sequences (CDSs). A conservative estimate suggests that at least 7000 noncanonical ORFs are translated, which, at first glance, has the potential to expand the number of human protein CDSs by 30%, from ∼19,500 annotated CDSs to over 26,000 annotated CDSs. Yet, additional scrutiny of these ORFs has raised numerous questions about what fraction of them truly produce a protein product and what fraction of those can be understood as proteins according to conventional understanding of the term. Adding further complication is the fact that published estimates of noncanonical ORFs vary widely by around 30-fold, from several thousand to several hundred thousand. The summation of this research has left the genomics and proteomics communities both excited by the prospect of new coding regions in the human genome but searching for guidance on how to proceed. Here, we discuss the current state of noncanonical ORF research, databases, and interpretation, focusing on how to assess whether a given ORF can be said to be “protein coding.”
[Display omitted]
•Ribo-seq paired with proteomics-based methods optimally detects noncanonical ORFs.•Data quality and analytical pipelines impact the output of a Ribo-seq experiment.•Noncanonical ORF catalogs variably report both high- and low-stringency nominations.•A framework for standardized noncanonical ORF evidence will advance the field.
The human genome encodes thousands of noncanonical ORFs along with protein-coding genes. As a nascent field, many questions about them remain: How many exist? Do they encode proteins? What evidence is needed for their verification? Central to these debates has been the advent of ribosome profiling (Ribo-Seq) to discern genome-wide ribosome occupancy and immunopeptidomics to detect peptides presented by major histocompatibility complex molecules. This article synthesizes the current state of noncanonical ORF research and proposes standards for their future investigation and reporting.</description><identifier>ISSN: 1535-9476</identifier><identifier>ISSN: 1535-9484</identifier><identifier>EISSN: 1535-9484</identifier><identifier>DOI: 10.1016/j.mcpro.2023.100631</identifier><identifier>PMID: 37572790</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Humans ; immunopeptidomics ; mass spectrometry ; microprotein ; noncanonical ORF ; Open Reading Frames ; Protein Biosynthesis ; Proteome - metabolism ; Proteomics - methods ; Ribo-Seq ; Ribosome Profiling ; Ribosomes - metabolism</subject><ispartof>Molecular & cellular proteomics, 2023-09, Vol.22 (9), p.100631, Article 100631</ispartof><rights>2023 The Authors</rights><rights>Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.</rights><rights>2023 The Authors 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-7018edb978042e487a1461a64c08efa8436115ee5bf19f629a41f502f86b581f3</citedby><cites>FETCH-LOGICAL-c460t-7018edb978042e487a1461a64c08efa8436115ee5bf19f629a41f502f86b581f3</cites><orcidid>0000-0003-4789-7495 ; 0009-0008-0841-2313 ; 0000-0002-3216-9447 ; 0000-0002-7024-636X ; 0000-0002-8317-0034 ; 0000-0001-9593-1980</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/PMC10506109/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506109/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37572790$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Prensner, John R.</creatorcontrib><creatorcontrib>Abelin, Jennifer G.</creatorcontrib><creatorcontrib>Kok, Leron W.</creatorcontrib><creatorcontrib>Clauser, Karl R.</creatorcontrib><creatorcontrib>Mudge, Jonathan M.</creatorcontrib><creatorcontrib>Ruiz-Orera, Jorge</creatorcontrib><creatorcontrib>Bassani-Sternberg, Michal</creatorcontrib><creatorcontrib>Moritz, Robert L.</creatorcontrib><creatorcontrib>Deutsch, Eric W.</creatorcontrib><creatorcontrib>van Heesch, Sebastiaan</creatorcontrib><title>What Can Ribo-Seq, Immunopeptidomics, and Proteomics Tell Us About the Noncanonical Proteome?</title><title>Molecular & cellular proteomics</title><addtitle>Mol Cell Proteomics</addtitle><description>Ribosome profiling (Ribo-Seq) has proven transformative for our understanding of the human genome and proteome by illuminating thousands of noncanonical sites of ribosome translation outside the currently annotated coding sequences (CDSs). A conservative estimate suggests that at least 7000 noncanonical ORFs are translated, which, at first glance, has the potential to expand the number of human protein CDSs by 30%, from ∼19,500 annotated CDSs to over 26,000 annotated CDSs. Yet, additional scrutiny of these ORFs has raised numerous questions about what fraction of them truly produce a protein product and what fraction of those can be understood as proteins according to conventional understanding of the term. Adding further complication is the fact that published estimates of noncanonical ORFs vary widely by around 30-fold, from several thousand to several hundred thousand. The summation of this research has left the genomics and proteomics communities both excited by the prospect of new coding regions in the human genome but searching for guidance on how to proceed. Here, we discuss the current state of noncanonical ORF research, databases, and interpretation, focusing on how to assess whether a given ORF can be said to be “protein coding.”
[Display omitted]
•Ribo-seq paired with proteomics-based methods optimally detects noncanonical ORFs.•Data quality and analytical pipelines impact the output of a Ribo-seq experiment.•Noncanonical ORF catalogs variably report both high- and low-stringency nominations.•A framework for standardized noncanonical ORF evidence will advance the field.
The human genome encodes thousands of noncanonical ORFs along with protein-coding genes. As a nascent field, many questions about them remain: How many exist? Do they encode proteins? What evidence is needed for their verification? Central to these debates has been the advent of ribosome profiling (Ribo-Seq) to discern genome-wide ribosome occupancy and immunopeptidomics to detect peptides presented by major histocompatibility complex molecules. This article synthesizes the current state of noncanonical ORF research and proposes standards for their future investigation and reporting.</description><subject>Humans</subject><subject>immunopeptidomics</subject><subject>mass spectrometry</subject><subject>microprotein</subject><subject>noncanonical ORF</subject><subject>Open Reading Frames</subject><subject>Protein Biosynthesis</subject><subject>Proteome - metabolism</subject><subject>Proteomics - methods</subject><subject>Ribo-Seq</subject><subject>Ribosome Profiling</subject><subject>Ribosomes - metabolism</subject><issn>1535-9476</issn><issn>1535-9484</issn><issn>1535-9484</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUtv1DAURiMEoqXwC5CQlyyawW87C1RVo9JWqgBBK1bIcpwbxqPETm2nEv-etNOOYMPKr3O_a_tU1VuCVwQT-WG7Gt2U4opiypYdLBl5Vh0SwUTdcM2f7-dKHlSvct5iTDFR4mV1wJRQVDX4sPr5Y2MLWtuAvvk21t_h9hhdjuMc4gRT8V0cvcvHyIYOfU2xwMMaXcMwoJuMTts4F1Q2gD7H4GyIwTs7PJFw8rp60dshw5vH8ai6-XR2vb6or76cX65Pr2rHJS61wkRD1zZKY06Ba2UJl8RK7rCG3mrOJCECQLQ9aXpJG8tJLzDttWyFJj07qk52udPcjtA5CCXZwUzJjzb9NtF68-9J8BvzK94ZggWWBDdLwvvHhBRvZ8jFjD675Zk2QJyzoVpgRqjSbEHZDnUp5pyg3_ch2NybMVvzYMbcmzE7M0vVu7-vuK95UrEAH3cALB915yGZ7DwEB51P4Irpov9vgz-876A_</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Prensner, John R.</creator><creator>Abelin, Jennifer G.</creator><creator>Kok, Leron W.</creator><creator>Clauser, Karl R.</creator><creator>Mudge, Jonathan M.</creator><creator>Ruiz-Orera, Jorge</creator><creator>Bassani-Sternberg, Michal</creator><creator>Moritz, Robert L.</creator><creator>Deutsch, Eric W.</creator><creator>van Heesch, Sebastiaan</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/0000-0003-4789-7495</orcidid><orcidid>https://orcid.org/0009-0008-0841-2313</orcidid><orcidid>https://orcid.org/0000-0002-3216-9447</orcidid><orcidid>https://orcid.org/0000-0002-7024-636X</orcidid><orcidid>https://orcid.org/0000-0002-8317-0034</orcidid><orcidid>https://orcid.org/0000-0001-9593-1980</orcidid></search><sort><creationdate>20230901</creationdate><title>What Can Ribo-Seq, Immunopeptidomics, and Proteomics Tell Us About the Noncanonical Proteome?</title><author>Prensner, John R. ; Abelin, Jennifer G. ; Kok, Leron W. ; Clauser, Karl R. ; Mudge, Jonathan M. ; Ruiz-Orera, Jorge ; Bassani-Sternberg, Michal ; Moritz, Robert L. ; Deutsch, Eric W. ; van Heesch, Sebastiaan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c460t-7018edb978042e487a1461a64c08efa8436115ee5bf19f629a41f502f86b581f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Humans</topic><topic>immunopeptidomics</topic><topic>mass spectrometry</topic><topic>microprotein</topic><topic>noncanonical ORF</topic><topic>Open Reading Frames</topic><topic>Protein Biosynthesis</topic><topic>Proteome - metabolism</topic><topic>Proteomics - methods</topic><topic>Ribo-Seq</topic><topic>Ribosome Profiling</topic><topic>Ribosomes - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Prensner, John R.</creatorcontrib><creatorcontrib>Abelin, Jennifer G.</creatorcontrib><creatorcontrib>Kok, Leron W.</creatorcontrib><creatorcontrib>Clauser, Karl R.</creatorcontrib><creatorcontrib>Mudge, Jonathan M.</creatorcontrib><creatorcontrib>Ruiz-Orera, Jorge</creatorcontrib><creatorcontrib>Bassani-Sternberg, Michal</creatorcontrib><creatorcontrib>Moritz, Robert L.</creatorcontrib><creatorcontrib>Deutsch, Eric W.</creatorcontrib><creatorcontrib>van Heesch, Sebastiaan</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>Molecular & cellular proteomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Prensner, John R.</au><au>Abelin, Jennifer G.</au><au>Kok, Leron W.</au><au>Clauser, Karl R.</au><au>Mudge, Jonathan M.</au><au>Ruiz-Orera, Jorge</au><au>Bassani-Sternberg, Michal</au><au>Moritz, Robert L.</au><au>Deutsch, Eric W.</au><au>van Heesch, Sebastiaan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>What Can Ribo-Seq, Immunopeptidomics, and Proteomics Tell Us About the Noncanonical Proteome?</atitle><jtitle>Molecular & cellular proteomics</jtitle><addtitle>Mol Cell Proteomics</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>22</volume><issue>9</issue><spage>100631</spage><pages>100631-</pages><artnum>100631</artnum><issn>1535-9476</issn><issn>1535-9484</issn><eissn>1535-9484</eissn><abstract>Ribosome profiling (Ribo-Seq) has proven transformative for our understanding of the human genome and proteome by illuminating thousands of noncanonical sites of ribosome translation outside the currently annotated coding sequences (CDSs). A conservative estimate suggests that at least 7000 noncanonical ORFs are translated, which, at first glance, has the potential to expand the number of human protein CDSs by 30%, from ∼19,500 annotated CDSs to over 26,000 annotated CDSs. Yet, additional scrutiny of these ORFs has raised numerous questions about what fraction of them truly produce a protein product and what fraction of those can be understood as proteins according to conventional understanding of the term. Adding further complication is the fact that published estimates of noncanonical ORFs vary widely by around 30-fold, from several thousand to several hundred thousand. The summation of this research has left the genomics and proteomics communities both excited by the prospect of new coding regions in the human genome but searching for guidance on how to proceed. Here, we discuss the current state of noncanonical ORF research, databases, and interpretation, focusing on how to assess whether a given ORF can be said to be “protein coding.”
[Display omitted]
•Ribo-seq paired with proteomics-based methods optimally detects noncanonical ORFs.•Data quality and analytical pipelines impact the output of a Ribo-seq experiment.•Noncanonical ORF catalogs variably report both high- and low-stringency nominations.•A framework for standardized noncanonical ORF evidence will advance the field.
The human genome encodes thousands of noncanonical ORFs along with protein-coding genes. As a nascent field, many questions about them remain: How many exist? Do they encode proteins? What evidence is needed for their verification? Central to these debates has been the advent of ribosome profiling (Ribo-Seq) to discern genome-wide ribosome occupancy and immunopeptidomics to detect peptides presented by major histocompatibility complex molecules. This article synthesizes the current state of noncanonical ORF research and proposes standards for their future investigation and reporting.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>37572790</pmid><doi>10.1016/j.mcpro.2023.100631</doi><orcidid>https://orcid.org/0000-0003-4789-7495</orcidid><orcidid>https://orcid.org/0009-0008-0841-2313</orcidid><orcidid>https://orcid.org/0000-0002-3216-9447</orcidid><orcidid>https://orcid.org/0000-0002-7024-636X</orcidid><orcidid>https://orcid.org/0000-0002-8317-0034</orcidid><orcidid>https://orcid.org/0000-0001-9593-1980</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1535-9476 |
ispartof | Molecular & cellular proteomics, 2023-09, Vol.22 (9), p.100631, Article 100631 |
issn | 1535-9476 1535-9484 1535-9484 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10506109 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
subjects | Humans immunopeptidomics mass spectrometry microprotein noncanonical ORF Open Reading Frames Protein Biosynthesis Proteome - metabolism Proteomics - methods Ribo-Seq Ribosome Profiling Ribosomes - metabolism |
title | What Can Ribo-Seq, Immunopeptidomics, and Proteomics Tell Us About the Noncanonical Proteome? |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T13%3A28%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=What%20Can%20Ribo-Seq,%20Immunopeptidomics,%20and%20Proteomics%20Tell%20Us%20About%20the%20Noncanonical%20Proteome?&rft.jtitle=Molecular%20&%20cellular%20proteomics&rft.au=Prensner,%20John%20R.&rft.date=2023-09-01&rft.volume=22&rft.issue=9&rft.spage=100631&rft.pages=100631-&rft.artnum=100631&rft.issn=1535-9476&rft.eissn=1535-9484&rft_id=info:doi/10.1016/j.mcpro.2023.100631&rft_dat=%3Cproquest_pubme%3E2850312783%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2850312783&rft_id=info:pmid/37572790&rft_els_id=S1535947623001421&rfr_iscdi=true |