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Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry
Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regul...
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Published in: | STAR protocols 2020-12, Vol.1 (3), p.100216-100216, Article 100216 |
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creator | Gillespie, Mark A. Palii, Carmen G. Sanchez-Taltavull, Daniel Perkins, Theodore J. Brand, Marjorie Ranish, Jeffrey A. |
description | Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regulatory networks. In this protocol, we describe a targeted selected reaction monitoring (SRM)-based mass-spectrometry method to systematically measure the absolute protein concentration of nuclear TFs as human hematopoietic stem and progenitor cells differentiate along the erythropoietic lineage.
For complete details on the use and execution of this protocol, please refer to Gillespie et al. (2020).
[Display omitted]
•Protocol for absolute quantification of TFs in human erythropoiesis•Selected reaction monitoring mass-spectrometry parameters for each peptide•Validated SRM assays corresponding to >100 TFs•Copy number reveals the relative stoichiometries of TFs during erythropoiesis
Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regulatory networks. In this protocol, we describe a targeted selected reaction monitoring (SRM)-based mass spectrometry method to systematically measure the absolute protein concentration of nuclear TFs as human hematopoietic stem and progenitor cells differentiate along the erythropoietic lineage. |
doi_str_mv | 10.1016/j.xpro.2020.100216 |
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For complete details on the use and execution of this protocol, please refer to Gillespie et al. (2020).
[Display omitted]
•Protocol for absolute quantification of TFs in human erythropoiesis•Selected reaction monitoring mass-spectrometry parameters for each peptide•Validated SRM assays corresponding to >100 TFs•Copy number reveals the relative stoichiometries of TFs during erythropoiesis
Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regulatory networks. In this protocol, we describe a targeted selected reaction monitoring (SRM)-based mass spectrometry method to systematically measure the absolute protein concentration of nuclear TFs as human hematopoietic stem and progenitor cells differentiate along the erythropoietic lineage.</description><identifier>ISSN: 2666-1667</identifier><identifier>EISSN: 2666-1667</identifier><identifier>DOI: 10.1016/j.xpro.2020.100216</identifier><identifier>PMID: 33377109</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Cell Differentiation ; Cell Differentiation - genetics ; Erythropoiesis - physiology ; Gene Expression Regulation - genetics ; Gene Regulatory Networks - genetics ; Hematopoietic Stem Cells - metabolism ; Humans ; Mass Spectrometry ; Mass Spectrometry - methods ; Proteomics ; Proteomics - methods ; Protocol ; Transcription Factors - analysis</subject><ispartof>STAR protocols, 2020-12, Vol.1 (3), p.100216-100216, Article 100216</ispartof><rights>2020 The Author(s)</rights><rights>2020 The Author(s).</rights><rights>2020 The Author(s) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4366-ded61a3b77b36e86eb767236a36ca02c502895169afa02db8f91d6c929f3ce183</citedby><cites>FETCH-LOGICAL-c4366-ded61a3b77b36e86eb767236a36ca02c502895169afa02db8f91d6c929f3ce183</cites><orcidid>0000-0001-7820-8598 ; 0000-0001-8915-8012 ; 0000-0001-7181-0287</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/PMC7757672/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S2666166720302033$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,3549,27924,27925,45780,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33377109$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gillespie, Mark A.</creatorcontrib><creatorcontrib>Palii, Carmen G.</creatorcontrib><creatorcontrib>Sanchez-Taltavull, Daniel</creatorcontrib><creatorcontrib>Perkins, Theodore J.</creatorcontrib><creatorcontrib>Brand, Marjorie</creatorcontrib><creatorcontrib>Ranish, Jeffrey A.</creatorcontrib><title>Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry</title><title>STAR protocols</title><addtitle>STAR Protoc</addtitle><description>Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regulatory networks. In this protocol, we describe a targeted selected reaction monitoring (SRM)-based mass-spectrometry method to systematically measure the absolute protein concentration of nuclear TFs as human hematopoietic stem and progenitor cells differentiate along the erythropoietic lineage.
For complete details on the use and execution of this protocol, please refer to Gillespie et al. (2020).
[Display omitted]
•Protocol for absolute quantification of TFs in human erythropoiesis•Selected reaction monitoring mass-spectrometry parameters for each peptide•Validated SRM assays corresponding to >100 TFs•Copy number reveals the relative stoichiometries of TFs during erythropoiesis
Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regulatory networks. In this protocol, we describe a targeted selected reaction monitoring (SRM)-based mass spectrometry method to systematically measure the absolute protein concentration of nuclear TFs as human hematopoietic stem and progenitor cells differentiate along the erythropoietic lineage.</description><subject>Cell Differentiation</subject><subject>Cell Differentiation - genetics</subject><subject>Erythropoiesis - physiology</subject><subject>Gene Expression Regulation - genetics</subject><subject>Gene Regulatory Networks - genetics</subject><subject>Hematopoietic Stem Cells - metabolism</subject><subject>Humans</subject><subject>Mass Spectrometry</subject><subject>Mass Spectrometry - methods</subject><subject>Proteomics</subject><subject>Proteomics - methods</subject><subject>Protocol</subject><subject>Transcription Factors - analysis</subject><issn>2666-1667</issn><issn>2666-1667</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9Uk1v1DAQtRCIVkv_AAfkI5fd-iOxEwkhVRXQSpW4wNly7MmuV4md2k7FHvrfcXZL1V442Z5578145iH0kZINJVRc7jd_phg2jLAlQBgVb9A5E0KsqRDy7Yv7GbpIaU8Kpqasos17dMY5l5KS9hw9XnUpDHMGfD9rn13vjM4ueBx6nKP2yUQ3HQO9NjnEhJ3Hu3nUHkM85F0MU3CQXMJzcn6LEwxgMlgcoeAX3hi8K8QlOeqUcJoKIIYRcjx8QO96PSS4eDpX6Pf3b7-ub9Z3P3_cXl_drU3Fyy8sWEE176TsuIBGQCeFZFxoLowmzNSENW1NRav78rRd07fUCtOytucGaMNX6Paka4Peqym6UceDCtqpYyDErdIxOzOAErLXlkhuKsMrWdVNbahmHSOGWl1TKFpfT1rT3I1gDfgyp-GV6OuMdzu1DQ9KyvrY9gp9fhKI4X6GlNXokoFh0B7CnBSrJG9J2bEsUHaCmhhSitA_l6FELTZQe7XYQC02UCcbFNKnlw0-U_4tvQC-nABQRv7gIKpkHHgD1sWymzIT9z_9v8bTyEQ</recordid><startdate>20201218</startdate><enddate>20201218</enddate><creator>Gillespie, Mark A.</creator><creator>Palii, Carmen G.</creator><creator>Sanchez-Taltavull, Daniel</creator><creator>Perkins, Theodore J.</creator><creator>Brand, Marjorie</creator><creator>Ranish, Jeffrey A.</creator><general>Elsevier Inc</general><general>Elsevier</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><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-7820-8598</orcidid><orcidid>https://orcid.org/0000-0001-8915-8012</orcidid><orcidid>https://orcid.org/0000-0001-7181-0287</orcidid></search><sort><creationdate>20201218</creationdate><title>Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry</title><author>Gillespie, Mark A. ; Palii, Carmen G. ; Sanchez-Taltavull, Daniel ; Perkins, Theodore J. ; Brand, Marjorie ; Ranish, Jeffrey A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4366-ded61a3b77b36e86eb767236a36ca02c502895169afa02db8f91d6c929f3ce183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Cell Differentiation</topic><topic>Cell Differentiation - genetics</topic><topic>Erythropoiesis - physiology</topic><topic>Gene Expression Regulation - genetics</topic><topic>Gene Regulatory Networks - genetics</topic><topic>Hematopoietic Stem Cells - metabolism</topic><topic>Humans</topic><topic>Mass Spectrometry</topic><topic>Mass Spectrometry - methods</topic><topic>Proteomics</topic><topic>Proteomics - methods</topic><topic>Protocol</topic><topic>Transcription Factors - analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gillespie, Mark A.</creatorcontrib><creatorcontrib>Palii, Carmen G.</creatorcontrib><creatorcontrib>Sanchez-Taltavull, Daniel</creatorcontrib><creatorcontrib>Perkins, Theodore J.</creatorcontrib><creatorcontrib>Brand, Marjorie</creatorcontrib><creatorcontrib>Ranish, Jeffrey A.</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><collection>Directory of Open Access Journals</collection><jtitle>STAR protocols</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gillespie, Mark A.</au><au>Palii, Carmen G.</au><au>Sanchez-Taltavull, Daniel</au><au>Perkins, Theodore J.</au><au>Brand, Marjorie</au><au>Ranish, Jeffrey A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry</atitle><jtitle>STAR protocols</jtitle><addtitle>STAR Protoc</addtitle><date>2020-12-18</date><risdate>2020</risdate><volume>1</volume><issue>3</issue><spage>100216</spage><epage>100216</epage><pages>100216-100216</pages><artnum>100216</artnum><issn>2666-1667</issn><eissn>2666-1667</eissn><abstract>Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regulatory networks. In this protocol, we describe a targeted selected reaction monitoring (SRM)-based mass-spectrometry method to systematically measure the absolute protein concentration of nuclear TFs as human hematopoietic stem and progenitor cells differentiate along the erythropoietic lineage.
For complete details on the use and execution of this protocol, please refer to Gillespie et al. (2020).
[Display omitted]
•Protocol for absolute quantification of TFs in human erythropoiesis•Selected reaction monitoring mass-spectrometry parameters for each peptide•Validated SRM assays corresponding to >100 TFs•Copy number reveals the relative stoichiometries of TFs during erythropoiesis
Quantitative changes in transcription factor (TF) abundance regulate dynamic cellular processes, including cell fate decisions. Protein copy number provides information about the relative stoichiometry of TFs that can be used to determine how quantitative changes in TF abundance influence gene regulatory networks. In this protocol, we describe a targeted selected reaction monitoring (SRM)-based mass spectrometry method to systematically measure the absolute protein concentration of nuclear TFs as human hematopoietic stem and progenitor cells differentiate along the erythropoietic lineage.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>33377109</pmid><doi>10.1016/j.xpro.2020.100216</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-7820-8598</orcidid><orcidid>https://orcid.org/0000-0001-8915-8012</orcidid><orcidid>https://orcid.org/0000-0001-7181-0287</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Cell Differentiation Cell Differentiation - genetics Erythropoiesis - physiology Gene Expression Regulation - genetics Gene Regulatory Networks - genetics Hematopoietic Stem Cells - metabolism Humans Mass Spectrometry Mass Spectrometry - methods Proteomics Proteomics - methods Protocol Transcription Factors - analysis |
title | Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry |
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