<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Colli DF</submitter><funding>American Heart Association</funding><funding>NHLBI NIH HHS</funding><funding>National Institutes of Health</funding><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><pagination>1386-1393</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6486484</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>116(8)</volume><pubmed_abstract>In mammalian ventricular cardiomyocytes, invaginations of the surface membrane form the transverse tubular system (T-system), which consists of transverse tubules (TTs) that align with sarcomeres and Z-lines as well as longitudinal tubules (LTs) that are present between Z-lines in some species. In many cardiac disease etiologies, the T-system is perturbed, which is believed to promote spatially heterogeneous, dyssynchronous Ca&lt;sup>2+&lt;/sup> release and inefficient contraction. In general, T-system characterization approaches have been directed primarily at isolated cells and do not detect subcellular T-system heterogeneity. Here, we present MatchedMyo, a matched-filter-based algorithm for subcellular T-system characterization in isolated cardiomyocytes and millimeter-scale myocardial sectio</pubmed_abstract><journal>Biophysical journal</journal><pubmed_title>A Matched-Filter-Based Algorithm for Subcellular Classification of T-System in Cardiac Tissues.</pubmed_title><pmcid>PMC6486484</pmcid><funding_grant_id>P20 GM103527</funding_grant_id><funding_grant_id>P30 GM127211</funding_grant_id><funding_grant_id>R01 HL132067</funding_grant_id><funding_grant_id>R35GM124977</funding_grant_id><funding_grant_id>R35 GM124977</funding_grant_id><funding_grant_id>P20GM103527</funding_grant_id><funding_grant_id>17UFEL33490002</funding_grant_id><pubmed_authors>Louch WE</pubmed_authors><pubmed_authors>Sachse FB</pubmed_authors><pubmed_authors>Blood SR</pubmed_authors><pubmed_authors>Sankarankutty AC</pubmed_authors><pubmed_authors>Frisk M</pubmed_authors><pubmed_authors>Colli DF</pubmed_authors><pubmed_authors>Kekenes-Huskey PM</pubmed_authors></additional><is_claimable>false</is_claimable><name>A Matched-Filter-Based Algorithm for Subcellular Classification of T-System in Cardiac Tissues.</name><description>In mammalian ventricular cardiomyocytes, invaginations of the surface membrane form the transverse tubular system (T-system), which consists of transverse tubules (TTs) that align with sarcomeres and Z-lines as well as longitudinal tubules (LTs) that are present between Z-lines in some species. In many cardiac disease etiologies, the T-system is perturbed, which is believed to promote spatially heterogeneous, dyssynchronous Ca&lt;sup>2+&lt;/sup> release and inefficient contraction. In general, T-system characterization approaches have been directed primarily at isolated cells and do not detect subcellular T-system heterogeneity. Here, we present MatchedMyo, a matched-filter-based algorithm for subcellular T-system characterization in isolated cardiomyocytes and millimeter-scale myocardial sectio</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Apr</publication><modification>2026-06-04T02:17:06.2Z</modification><creation>2021-02-21T08:49:38Z</creation></dates><accession>S-EPMC6486484</accession><cross_references><pubmed>30979553</pubmed><doi>10.1016/j.bpj.2019.03.010</doi></cross_references></HashMap>