<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Aryal S</submitter><funding>National Center for Research Resources</funding><funding>National Eye Institute</funding><funding>NEI NIH HHS</funding><funding>NCRR NIH HHS</funding><funding>NCI NIH HHS</funding><funding>National Institutes of Health</funding><funding>National Institute of General Medical Sciences</funding><funding>NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>151-184</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6983357</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>139(2)</volume><pubmed_abstract>While the bioinformatics resource-tool iSyTE (integrated Systems Tool for Eye gene discovery) effectively identifies human cataract-associated genes, it is currently based on just transcriptome data, and thus, it is necessary to include protein-level information to gain greater confidence in gene prioritization. Here, we expand iSyTE through development of a novel proteome-based resource on the lens and demonstrate its utility in cataract gene discovery. We applied high-throughput tandem mass spectrometry (MS/MS) to generate a global protein expression profile of mouse lens at embryonic day (E)14.5, which identified 2371 lens-expressed proteins. A major challenge of high-throughput expression profiling is identification of high-priority candidates among the thousands of expressed proteins.</pubmed_abstract><journal>Human genetics</journal><pubmed_title>MS/MS in silico subtraction-based proteomic profiling as an approach to facilitate disease gene discovery: application to lens development and cataract.</pubmed_title><pmcid>PMC6983357</pmcid><funding_grant_id>S10 RR027273</funding_grant_id><funding_grant_id>S10OD-012246</funding_grant_id><funding_grant_id>P20 GM103446</funding_grant_id><funding_grant_id>P30 CA069533</funding_grant_id><funding_grant_id>P30 EY010572</funding_grant_id><funding_grant_id>R01 EY021505</funding_grant_id><funding_grant_id>R01 EY029770</funding_grant_id><funding_grant_id>S10 OD012246</funding_grant_id><pubmed_authors>David LL</pubmed_authors><pubmed_authors>Aryal S</pubmed_authors><pubmed_authors>Hernandez FG</pubmed_authors><pubmed_authors>Huang H</pubmed_authors><pubmed_authors>Wilmarth PA</pubmed_authors><pubmed_authors>Anand D</pubmed_authors><pubmed_authors>Reddy AP</pubmed_authors><pubmed_authors>Weatherbee BAT</pubmed_authors><pubmed_authors>Lachke SA</pubmed_authors></additional><is_claimable>false</is_claimable><name>MS/MS in silico subtraction-based proteomic profiling as an approach to facilitate disease gene discovery: application to lens development and cataract.</name><description>While the bioinformatics resource-tool iSyTE (integrated Systems Tool for Eye gene discovery) effectively identifies human cataract-associated genes, it is currently based on just transcriptome data, and thus, it is necessary to include protein-level information to gain greater confidence in gene prioritization. Here, we expand iSyTE through development of a novel proteome-based resource on the lens and demonstrate its utility in cataract gene discovery. We applied high-throughput tandem mass spectrometry (MS/MS) to generate a global protein expression profile of mouse lens at embryonic day (E)14.5, which identified 2371 lens-expressed proteins. A major challenge of high-throughput expression profiling is identification of high-priority candidates among the thousands of expressed proteins.</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Feb</publication><modification>2026-04-07T23:04:23.959Z</modification><creation>2021-02-21T05:14:01Z</creation></dates><accession>S-EPMC6983357</accession><cross_references><pubmed>31797049</pubmed><doi>10.1007/s00439-019-02095-5</doi></cross_references></HashMap>