<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Munoz-Ruiz M</submitter><funding>European Molecular Biology Organization</funding><funding>Cancer Research UK</funding><funding>Francis Crick Institute</funding><funding>CNR</funding><funding>The Francis Crick Institute</funding><funding>Medical Research Council</funding><funding>National Institute for Health Research (NIHR)</funding><funding>NIHR BRC</funding><funding>Royal Society</funding><funding>Wellcome Trust</funding><pagination>102466</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7527781</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>112</volume><pubmed_abstract>The ready availability of human blood makes it the first choice for immuno-monitoring. However, this has been largely confined to static metrics, particularly resting T cell phenotypes. Conversely, dynamic assessments have mostly relied on cell stimulation in vitro which is subject to multiple variables. Here, immunodynamic insights from the peripheral blood are shown to be obtainable by applying a revised approach to cell-cycle analysis. Specifically, refined flow cytometric protocols were employed, assuring the reliable quantification of T cells in the S-G&lt;sub>2&lt;/sub>/M phases of the cell-cycle (collectively termed "T Double S" for T cells in S-phase in Sanguine: in short "T&lt;sub>DS&lt;/sub>" cells). Without protocol refinement, T&lt;sub>DS&lt;/sub> could be either missed, as most of them layed ou</pubmed_abstract><journal>Journal of autoimmunity</journal><pubmed_title>Tracking immunodynamics by identification of S-G&lt;sub>2&lt;/sub>/M-phase T cells in human peripheral blood.</pubmed_title><pmcid>PMC7527781</pmcid><funding_grant_id>10007</funding_grant_id><funding_grant_id>10093</funding_grant_id><funding_grant_id>20265</funding_grant_id><funding_grant_id>STM 2017</funding_grant_id><funding_grant_id>10729</funding_grant_id><funding_grant_id>STM 2019</funding_grant_id><funding_grant_id>FC001003</funding_grant_id><funding_grant_id>10794</funding_grant_id><funding_grant_id>10001</funding_grant_id><funding_grant_id>10006</funding_grant_id><funding_grant_id>IES\R3\170319</funding_grant_id><pubmed_authors>Hayday AC</pubmed_authors><pubmed_authors>Peakman M</pubmed_authors><pubmed_authors>Greco M</pubmed_authors><pubmed_authors>Di Rosa F</pubmed_authors><pubmed_authors>Rhys H</pubmed_authors><pubmed_authors>Long HM</pubmed_authors><pubmed_authors>Munoz-Ruiz M</pubmed_authors><pubmed_authors>Pujol-Autonell I</pubmed_authors><pubmed_authors>Tree T</pubmed_authors></additional><is_claimable>false</is_claimable><name>Tracking immunodynamics by identification of S-G&lt;sub>2&lt;/sub>/M-phase T cells in human peripheral blood.</name><description>The ready availability of human blood makes it the first choice for immuno-monitoring. However, this has been largely confined to static metrics, particularly resting T cell phenotypes. Conversely, dynamic assessments have mostly relied on cell stimulation in vitro which is subject to multiple variables. Here, immunodynamic insights from the peripheral blood are shown to be obtainable by applying a revised approach to cell-cycle analysis. Specifically, refined flow cytometric protocols were employed, assuring the reliable quantification of T cells in the S-G&lt;sub>2&lt;/sub>/M phases of the cell-cycle (collectively termed "T Double S" for T cells in S-phase in Sanguine: in short "T&lt;sub>DS&lt;/sub>" cells). Without protocol refinement, T&lt;sub>DS&lt;/sub> could be either missed, as most of them layed ou</description><dates><release>2020-01-01T00:00:00Z</release><publication>2020 Aug</publication><modification>2025-04-03T22:40:08.656Z</modification><creation>2020-10-29T08:12:14Z</creation></dates><accession>S-EPMC7527781</accession><cross_references><pubmed>32414606</pubmed><doi>10.1016/j.jaut.2020.102466</doi></cross_references></HashMap>