{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Huh YH"],"funding":["Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health","NICHD NIH HHS","NIEHS","NHGRI","NHGRI NIH HHS","NIH HHS","PHS HHS","NIGMS"],"pagination":["144-54"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4363179"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(2)"],"pubmed_abstract":["There is a long-standing unmet clinical need for biomarkers with high specificity for distributed stem cells (DSCs) in tissues, or for use in diagnostic and therapeutic cell preparations (e.g., bone marrow). Although DSCs are essential for tissue maintenance and repair, accurate determination of their numbers for medical applications has been problematic. Previous searches for biomarkers expressed specifically in DSCs were hampered by difficulty obtaining pure DSCs and by the challenges in mining complex molecular expression data. To identify such useful and specific DSC biomarkers, we combined a novel sparse feature selection method with combinatorial molecular expression data focused on asymmetric self-renewal, a conspicuous property of DSCs. The analysis identified reduced expression of the histone H2A variant H2A.Z as a superior molecular discriminator for DSC asymmetric self-renewal. Subsequent molecular expression studies showed H2A.Z to be a novel \"pattern-specific biomarker\" for asymmetrically self-renewing cells, with sufficient specificity to count asymmetrically self-renewing DSCs in vitro and potentially in situ."],"journal":["Stem cell research"],"pubmed_title":["Sparse feature selection identifies H2A.Z as a novel, pattern-specific biomarker for asymmetrically self-renewing distributed stem cells."],"pmcid":["PMC4363179"],"funding_grant_id":["DP1 OD000805","689471","P50 HG003170","U54 HD060848","5DP1OD000805","U54HD060848","PSO HG 003170"],"pubmed_authors":["Chen JC","Winkler DA","Burden FR","Sherley JL","Huh YH","Noh M"],"additional_accession":[]},"is_claimable":false,"name":"Sparse feature selection identifies H2A.Z as a novel, pattern-specific biomarker for asymmetrically self-renewing distributed stem cells.","description":"There is a long-standing unmet clinical need for biomarkers with high specificity for distributed stem cells (DSCs) in tissues, or for use in diagnostic and therapeutic cell preparations (e.g., bone marrow). Although DSCs are essential for tissue maintenance and repair, accurate determination of their numbers for medical applications has been problematic. Previous searches for biomarkers expressed specifically in DSCs were hampered by difficulty obtaining pure DSCs and by the challenges in mining complex molecular expression data. To identify such useful and specific DSC biomarkers, we combined a novel sparse feature selection method with combinatorial molecular expression data focused on asymmetric self-renewal, a conspicuous property of DSCs. The analysis identified reduced expression of the histone H2A variant H2A.Z as a superior molecular discriminator for DSC asymmetric self-renewal. Subsequent molecular expression studies showed H2A.Z to be a novel \"pattern-specific biomarker\" for asymmetrically self-renewing cells, with sufficient specificity to count asymmetrically self-renewing DSCs in vitro and potentially in situ.","dates":{"release":"2015-01-01T00:00:00Z","publication":"2015 Mar","modification":"2024-11-10T04:34:52.172Z","creation":"2019-03-27T01:48:20Z"},"accession":"S-EPMC4363179","cross_references":{"pubmed":["25636161"],"doi":["10.1016/j.scr.2014.12.007"]}}