Spatially-Resolved Proteomics: Rapid Quantitative Analysis of Laser Capture Microdissected Alveolar Tissue Samples

Laser capture microdissection (LCM)-enabled region-specific tissue analyses are critical to better understand complex multicellular processes. However, current proteomics workflows entail several manual sample preparation steps and are challenged by the microscopic mass-limited samples generated by...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports 2016-12, Vol.6 (1), p.39223-39223, Article 39223
Main Authors: Clair, Geremy, Piehowski, Paul D., Nicola, Teodora, Kitzmiller, Joseph A., Huang, Eric L., Zink, Erika M., Sontag, Ryan L., Orton, Daniel J., Moore, Ronald J., Carson, James P., Smith, Richard D., Whitsett, Jeffrey A., Corley, Richard A., Ambalavanan, Namasivayam, Ansong, Charles
Format: Article
Language:English
Subjects:
60 APPLIED LIFE SCIENCES
631/136/2060
631/1647/2067
Alveoli
Animals
Animals, Newborn
Automation
Chromatography, High Pressure Liquid
Environmental Molecular Sciences Laboratory
Humanities and Social Sciences
Laser Capture Microdissection
Lung - metabolism
Mice
Mice, Inbred C57BL
multidisciplinary
Ontogeny
Proteome - analysis
Proteomics
Quantitative analysis
Science
Tandem Mass Spectrometry
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c531t-699eeb28795c004f38cac9015998c0d12790ce4599419feec29242d469f968253
cites cdi_FETCH-LOGICAL-c531t-699eeb28795c004f38cac9015998c0d12790ce4599419feec29242d469f968253
container_end_page 39223
container_issue 1
container_start_page 39223
container_title Scientific reports
container_volume 6
creator Clair, Geremy
Piehowski, Paul D.
Nicola, Teodora
Kitzmiller, Joseph A.
Huang, Eric L.
Zink, Erika M.
Sontag, Ryan L.
Orton, Daniel J.
Moore, Ronald J.
Carson, James P.
Smith, Richard D.
Whitsett, Jeffrey A.
Corley, Richard A.
Ambalavanan, Namasivayam
Ansong, Charles
description Laser capture microdissection (LCM)-enabled region-specific tissue analyses are critical to better understand complex multicellular processes. However, current proteomics workflows entail several manual sample preparation steps and are challenged by the microscopic mass-limited samples generated by LCM, impacting measurement robustness, quantification and throughput. Here, we coupled LCM with a proteomics workflow that provides fully automated analysis of proteomes from microdissected tissues. Benchmarking against the current state-of-the-art in ultrasensitive global proteomics (FASP workflow), our approach demonstrated significant improvements in quantification (~2-fold lower variance) and throughput (>5 times faster). Using our approach we for the first time characterized, to a depth of >3,400 proteins, the ontogeny of protein changes during normal lung development in microdissected alveolar tissue containing only 4,000 cells. Our analysis revealed seven defined modules of coordinated transcription factor-signaling molecule expression patterns, suggesting a complex network of temporal regulatory control directs normal lung development with epigenetic regulation fine-tuning pre-natal developmental processes.
doi_str_mv 10.1038/srep39223
format article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5177886</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1899447433</sourcerecordid><originalsourceid>FETCH-LOGICAL-c531t-699eeb28795c004f38cac9015998c0d12790ce4599419feec29242d469f968253</originalsourceid><addsrcrecordid>eNplkVtvEzEQhVcIRKvSB_4AsuAFkBZ82Zt5QIoiblIQ0JZny_XOtq6c9eLxRsq_Z6KUKIBffPt0Zs6congq-BvBVfcWE0xKS6keFKeSV3UplZQPj84nxTniHadVS10J_bg4kR3nVduK0yJdTjZ7G8K2vACMYQM9-55ihrj2Dt-xCzv5nv2Y7Zh9JnIDbDHasEWPLA5sZRESW9opzwnYV-9S7D0iuEw6C1KLwSZ2RU8zsEu7ngLgk-LRYAPC-f1-Vvz8-OFq-blcffv0ZblYla5WIpeN1gDXsmt17ajbQXXOOs1FrXXneC9kq7mDiq7kaQBwUstK9lWjB910slZnxfu97jRfr6F3MOZkg5mSX9u0NdF68_fP6G_NTdyYWrRt1zUk8HwvEDF7g85ncLcujiPZM0JVvG120Mv7Kin-mgGzWXt0EIIdIc5oRFcLsqJaQeiLf9C7OCea5o4iG1VbKUXUqz1Fs0QKdzh0LLjZJW4OiRP77NjigfyTLwGv9wDS13gD6ajkf2q_AYtCtY0</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1899447433</pqid></control><display><type>article</type><title>Spatially-Resolved Proteomics: Rapid Quantitative Analysis of Laser Capture Microdissected Alveolar Tissue Samples</title><source>Publicly Available Content Database</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Springer Nature - nature.com Journals - Fully Open Access</source><creator>Clair, Geremy ; Piehowski, Paul D. ; Nicola, Teodora ; Kitzmiller, Joseph A. ; Huang, Eric L. ; Zink, Erika M. ; Sontag, Ryan L. ; Orton, Daniel J. ; Moore, Ronald J. ; Carson, James P. ; Smith, Richard D. ; Whitsett, Jeffrey A. ; Corley, Richard A. ; Ambalavanan, Namasivayam ; Ansong, Charles</creator><creatorcontrib>Clair, Geremy ; Piehowski, Paul D. ; Nicola, Teodora ; Kitzmiller, Joseph A. ; Huang, Eric L. ; Zink, Erika M. ; Sontag, Ryan L. ; Orton, Daniel J. ; Moore, Ronald J. ; Carson, James P. ; Smith, Richard D. ; Whitsett, Jeffrey A. ; Corley, Richard A. ; Ambalavanan, Namasivayam ; Ansong, Charles ; Pacific Northwest National Laboratory (PNNL), Richland, WA (United States). Environmental Molecular Sciences Laboratory (EMSL)</creatorcontrib><description>Laser capture microdissection (LCM)-enabled region-specific tissue analyses are critical to better understand complex multicellular processes. However, current proteomics workflows entail several manual sample preparation steps and are challenged by the microscopic mass-limited samples generated by LCM, impacting measurement robustness, quantification and throughput. Here, we coupled LCM with a proteomics workflow that provides fully automated analysis of proteomes from microdissected tissues. Benchmarking against the current state-of-the-art in ultrasensitive global proteomics (FASP workflow), our approach demonstrated significant improvements in quantification (~2-fold lower variance) and throughput (&gt;5 times faster). Using our approach we for the first time characterized, to a depth of &gt;3,400 proteins, the ontogeny of protein changes during normal lung development in microdissected alveolar tissue containing only 4,000 cells. Our analysis revealed seven defined modules of coordinated transcription factor-signaling molecule expression patterns, suggesting a complex network of temporal regulatory control directs normal lung development with epigenetic regulation fine-tuning pre-natal developmental processes.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/srep39223</identifier><identifier>PMID: 28004771</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>60 APPLIED LIFE SCIENCES ; 631/136/2060 ; 631/1647/2067 ; Alveoli ; Animals ; Animals, Newborn ; Automation ; Chromatography, High Pressure Liquid ; Environmental Molecular Sciences Laboratory ; Humanities and Social Sciences ; Laser Capture Microdissection ; Lung - metabolism ; Mice ; Mice, Inbred C57BL ; multidisciplinary ; Ontogeny ; Proteome - analysis ; Proteomics ; Quantitative analysis ; Science ; Tandem Mass Spectrometry</subject><ispartof>Scientific reports, 2016-12, Vol.6 (1), p.39223-39223, Article 39223</ispartof><rights>The Author(s) 2016</rights><rights>Copyright Nature Publishing Group Dec 2016</rights><rights>Copyright © 2016, The Author(s) 2016 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c531t-699eeb28795c004f38cac9015998c0d12790ce4599419feec29242d469f968253</citedby><cites>FETCH-LOGICAL-c531t-699eeb28795c004f38cac9015998c0d12790ce4599419feec29242d469f968253</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1899447433/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1899447433?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28004771$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/servlets/purl/1340766$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Clair, Geremy</creatorcontrib><creatorcontrib>Piehowski, Paul D.</creatorcontrib><creatorcontrib>Nicola, Teodora</creatorcontrib><creatorcontrib>Kitzmiller, Joseph A.</creatorcontrib><creatorcontrib>Huang, Eric L.</creatorcontrib><creatorcontrib>Zink, Erika M.</creatorcontrib><creatorcontrib>Sontag, Ryan L.</creatorcontrib><creatorcontrib>Orton, Daniel J.</creatorcontrib><creatorcontrib>Moore, Ronald J.</creatorcontrib><creatorcontrib>Carson, James P.</creatorcontrib><creatorcontrib>Smith, Richard D.</creatorcontrib><creatorcontrib>Whitsett, Jeffrey A.</creatorcontrib><creatorcontrib>Corley, Richard A.</creatorcontrib><creatorcontrib>Ambalavanan, Namasivayam</creatorcontrib><creatorcontrib>Ansong, Charles</creatorcontrib><creatorcontrib>Pacific Northwest National Laboratory (PNNL), Richland, WA (United States). Environmental Molecular Sciences Laboratory (EMSL)</creatorcontrib><title>Spatially-Resolved Proteomics: Rapid Quantitative Analysis of Laser Capture Microdissected Alveolar Tissue Samples</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Laser capture microdissection (LCM)-enabled region-specific tissue analyses are critical to better understand complex multicellular processes. However, current proteomics workflows entail several manual sample preparation steps and are challenged by the microscopic mass-limited samples generated by LCM, impacting measurement robustness, quantification and throughput. Here, we coupled LCM with a proteomics workflow that provides fully automated analysis of proteomes from microdissected tissues. Benchmarking against the current state-of-the-art in ultrasensitive global proteomics (FASP workflow), our approach demonstrated significant improvements in quantification (~2-fold lower variance) and throughput (&gt;5 times faster). Using our approach we for the first time characterized, to a depth of &gt;3,400 proteins, the ontogeny of protein changes during normal lung development in microdissected alveolar tissue containing only 4,000 cells. Our analysis revealed seven defined modules of coordinated transcription factor-signaling molecule expression patterns, suggesting a complex network of temporal regulatory control directs normal lung development with epigenetic regulation fine-tuning pre-natal developmental processes.</description><subject>60 APPLIED LIFE SCIENCES</subject><subject>631/136/2060</subject><subject>631/1647/2067</subject><subject>Alveoli</subject><subject>Animals</subject><subject>Animals, Newborn</subject><subject>Automation</subject><subject>Chromatography, High Pressure Liquid</subject><subject>Environmental Molecular Sciences Laboratory</subject><subject>Humanities and Social Sciences</subject><subject>Laser Capture Microdissection</subject><subject>Lung - metabolism</subject><subject>Mice</subject><subject>Mice, Inbred C57BL</subject><subject>multidisciplinary</subject><subject>Ontogeny</subject><subject>Proteome - analysis</subject><subject>Proteomics</subject><subject>Quantitative analysis</subject><subject>Science</subject><subject>Tandem Mass Spectrometry</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNplkVtvEzEQhVcIRKvSB_4AsuAFkBZ82Zt5QIoiblIQ0JZny_XOtq6c9eLxRsq_Z6KUKIBffPt0Zs6congq-BvBVfcWE0xKS6keFKeSV3UplZQPj84nxTniHadVS10J_bg4kR3nVduK0yJdTjZ7G8K2vACMYQM9-55ihrj2Dt-xCzv5nv2Y7Zh9JnIDbDHasEWPLA5sZRESW9opzwnYV-9S7D0iuEw6C1KLwSZ2RU8zsEu7ngLgk-LRYAPC-f1-Vvz8-OFq-blcffv0ZblYla5WIpeN1gDXsmt17ajbQXXOOs1FrXXneC9kq7mDiq7kaQBwUstK9lWjB910slZnxfu97jRfr6F3MOZkg5mSX9u0NdF68_fP6G_NTdyYWrRt1zUk8HwvEDF7g85ncLcujiPZM0JVvG120Mv7Kin-mgGzWXt0EIIdIc5oRFcLsqJaQeiLf9C7OCea5o4iG1VbKUXUqz1Fs0QKdzh0LLjZJW4OiRP77NjigfyTLwGv9wDS13gD6ajkf2q_AYtCtY0</recordid><startdate>20161222</startdate><enddate>20161222</enddate><creator>Clair, Geremy</creator><creator>Piehowski, Paul D.</creator><creator>Nicola, Teodora</creator><creator>Kitzmiller, Joseph A.</creator><creator>Huang, Eric L.</creator><creator>Zink, Erika M.</creator><creator>Sontag, Ryan L.</creator><creator>Orton, Daniel J.</creator><creator>Moore, Ronald J.</creator><creator>Carson, James P.</creator><creator>Smith, Richard D.</creator><creator>Whitsett, Jeffrey A.</creator><creator>Corley, Richard A.</creator><creator>Ambalavanan, Namasivayam</creator><creator>Ansong, Charles</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>OIOZB</scope><scope>OTOTI</scope><scope>5PM</scope></search><sort><creationdate>20161222</creationdate><title>Spatially-Resolved Proteomics: Rapid Quantitative Analysis of Laser Capture Microdissected Alveolar Tissue Samples</title><author>Clair, Geremy ; Piehowski, Paul D. ; Nicola, Teodora ; Kitzmiller, Joseph A. ; Huang, Eric L. ; Zink, Erika M. ; Sontag, Ryan L. ; Orton, Daniel J. ; Moore, Ronald J. ; Carson, James P. ; Smith, Richard D. ; Whitsett, Jeffrey A. ; Corley, Richard A. ; Ambalavanan, Namasivayam ; Ansong, Charles</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c531t-699eeb28795c004f38cac9015998c0d12790ce4599419feec29242d469f968253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>60 APPLIED LIFE SCIENCES</topic><topic>631/136/2060</topic><topic>631/1647/2067</topic><topic>Alveoli</topic><topic>Animals</topic><topic>Animals, Newborn</topic><topic>Automation</topic><topic>Chromatography, High Pressure Liquid</topic><topic>Environmental Molecular Sciences Laboratory</topic><topic>Humanities and Social Sciences</topic><topic>Laser Capture Microdissection</topic><topic>Lung - metabolism</topic><topic>Mice</topic><topic>Mice, Inbred C57BL</topic><topic>multidisciplinary</topic><topic>Ontogeny</topic><topic>Proteome - analysis</topic><topic>Proteomics</topic><topic>Quantitative analysis</topic><topic>Science</topic><topic>Tandem Mass Spectrometry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Clair, Geremy</creatorcontrib><creatorcontrib>Piehowski, Paul D.</creatorcontrib><creatorcontrib>Nicola, Teodora</creatorcontrib><creatorcontrib>Kitzmiller, Joseph A.</creatorcontrib><creatorcontrib>Huang, Eric L.</creatorcontrib><creatorcontrib>Zink, Erika M.</creatorcontrib><creatorcontrib>Sontag, Ryan L.</creatorcontrib><creatorcontrib>Orton, Daniel J.</creatorcontrib><creatorcontrib>Moore, Ronald J.</creatorcontrib><creatorcontrib>Carson, James P.</creatorcontrib><creatorcontrib>Smith, Richard D.</creatorcontrib><creatorcontrib>Whitsett, Jeffrey A.</creatorcontrib><creatorcontrib>Corley, Richard A.</creatorcontrib><creatorcontrib>Ambalavanan, Namasivayam</creatorcontrib><creatorcontrib>Ansong, Charles</creatorcontrib><creatorcontrib>Pacific Northwest National Laboratory (PNNL), Richland, WA (United States). Environmental Molecular Sciences Laboratory (EMSL)</creatorcontrib><collection>SpringerOpen</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Clair, Geremy</au><au>Piehowski, Paul D.</au><au>Nicola, Teodora</au><au>Kitzmiller, Joseph A.</au><au>Huang, Eric L.</au><au>Zink, Erika M.</au><au>Sontag, Ryan L.</au><au>Orton, Daniel J.</au><au>Moore, Ronald J.</au><au>Carson, James P.</au><au>Smith, Richard D.</au><au>Whitsett, Jeffrey A.</au><au>Corley, Richard A.</au><au>Ambalavanan, Namasivayam</au><au>Ansong, Charles</au><aucorp>Pacific Northwest National Laboratory (PNNL), Richland, WA (United States). Environmental Molecular Sciences Laboratory (EMSL)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatially-Resolved Proteomics: Rapid Quantitative Analysis of Laser Capture Microdissected Alveolar Tissue Samples</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2016-12-22</date><risdate>2016</risdate><volume>6</volume><issue>1</issue><spage>39223</spage><epage>39223</epage><pages>39223-39223</pages><artnum>39223</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Laser capture microdissection (LCM)-enabled region-specific tissue analyses are critical to better understand complex multicellular processes. However, current proteomics workflows entail several manual sample preparation steps and are challenged by the microscopic mass-limited samples generated by LCM, impacting measurement robustness, quantification and throughput. Here, we coupled LCM with a proteomics workflow that provides fully automated analysis of proteomes from microdissected tissues. Benchmarking against the current state-of-the-art in ultrasensitive global proteomics (FASP workflow), our approach demonstrated significant improvements in quantification (~2-fold lower variance) and throughput (&gt;5 times faster). Using our approach we for the first time characterized, to a depth of &gt;3,400 proteins, the ontogeny of protein changes during normal lung development in microdissected alveolar tissue containing only 4,000 cells. Our analysis revealed seven defined modules of coordinated transcription factor-signaling molecule expression patterns, suggesting a complex network of temporal regulatory control directs normal lung development with epigenetic regulation fine-tuning pre-natal developmental processes.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>28004771</pmid><doi>10.1038/srep39223</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2045-2322
ispartof Scientific reports, 2016-12, Vol.6 (1), p.39223-39223, Article 39223
issn 2045-2322
2045-2322
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5177886
source Publicly Available Content Database; PubMed Central; Free Full-Text Journals in Chemistry; Springer Nature - nature.com Journals - Fully Open Access
subjects 60 APPLIED LIFE SCIENCES
631/136/2060
631/1647/2067
Alveoli
Animals
Animals, Newborn
Automation
Chromatography, High Pressure Liquid
Environmental Molecular Sciences Laboratory
Humanities and Social Sciences
Laser Capture Microdissection
Lung - metabolism
Mice
Mice, Inbred C57BL
multidisciplinary
Ontogeny
Proteome - analysis
Proteomics
Quantitative analysis
Science
Tandem Mass Spectrometry
title Spatially-Resolved Proteomics: Rapid Quantitative Analysis of Laser Capture Microdissected Alveolar Tissue Samples
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T18%3A13%3A41IST&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=Spatially-Resolved%20Proteomics:%20Rapid%20Quantitative%20Analysis%20of%20Laser%20Capture%20Microdissected%20Alveolar%20Tissue%20Samples&rft.jtitle=Scientific%20reports&rft.au=Clair,%20Geremy&rft.aucorp=Pacific%20Northwest%20National%20Laboratory%20(PNNL),%20Richland,%20WA%20(United%20States).%20Environmental%20Molecular%20Sciences%20Laboratory%20(EMSL)&rft.date=2016-12-22&rft.volume=6&rft.issue=1&rft.spage=39223&rft.epage=39223&rft.pages=39223-39223&rft.artnum=39223&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/srep39223&rft_dat=%3Cproquest_pubme%3E1899447433%3C/proquest_pubme%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c531t-699eeb28795c004f38cac9015998c0d12790ce4599419feec29242d469f968253%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1899447433&rft_id=info:pmid/28004771&rfr_iscdi=true