<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Li H</submitter><funding>NCI NIH HHS</funding><pubmed_abstract>Most advanced melanomas initially respond to targeted therapy but eventually relapse. Rather than acquiring new mutations, resistance is driven by drug-tolerant persister cells that enter a reversible drug-refractory state. We developed MeRLin, a high-resolution lineage tracing platform integrating cellular barcoding, single-cell transcriptomics, RNA fluorescence in situ hybridization (FISH), and computational analyses to track clonal and transcriptional dynamics in patient-derived melanoma models during prolonged therapy. Clonal dynamics revealed that persister subpopulations first responded to treatment but persisted and expanded during minimal residual disease, ultimately leading to tumor recurrence. Pre-treatment melanoma populations diversified into four conserved persister states cha</pubmed_abstract><journal>bioRxiv : the preprint server for biology</journal><pagination>2025.09.16.676608</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12458950</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Clonal dynamics shaped by diverse drug-tolerant persister states in melanoma resistance.</pubmed_title><pmcid>PMC12458950</pmcid><funding_grant_id>P50 CA261608</funding_grant_id><funding_grant_id>R01 CA240362</funding_grant_id><funding_grant_id>U54 CA224070</funding_grant_id><funding_grant_id>P01 CA114046</funding_grant_id><funding_grant_id>R01 CA238237</funding_grant_id><funding_grant_id>R01 CA241148</funding_grant_id><pubmed_authors>Fang H</pubmed_authors><pubmed_authors>Hu T</pubmed_authors><pubmed_authors>Herlyn M</pubmed_authors><pubmed_authors>Bin T</pubmed_authors><pubmed_authors>Patterson A</pubmed_authors><pubmed_authors>Jiang S</pubmed_authors><pubmed_authors>Brown GS</pubmed_authors><pubmed_authors>Wei Z</pubmed_authors><pubmed_authors>Wang L</pubmed_authors><pubmed_authors>Madzo J</pubmed_authors><pubmed_authors>Hoon DS</pubmed_authors><pubmed_authors>Dunne M</pubmed_authors><pubmed_authors>Thomas M</pubmed_authors><pubmed_authors>Ren J</pubmed_authors><pubmed_authors>Salazar ER</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Promi N</pubmed_authors><pubmed_authors>Li H</pubmed_authors><pubmed_authors>Fingerman D</pubmed_authors><pubmed_authors>Auslander N</pubmed_authors><pubmed_authors>Thacker G</pubmed_authors><pubmed_authors>Villanueva J</pubmed_authors><pubmed_authors>Kaster J</pubmed_authors><pubmed_authors>Zheng Q</pubmed_authors><pubmed_authors>Mou H</pubmed_authors><pubmed_authors>Li L</pubmed_authors><pubmed_authors>Raj A</pubmed_authors><pubmed_authors>Xiao M</pubmed_authors><pubmed_authors>Reale M</pubmed_authors><pubmed_authors>Gao L</pubmed_authors><pubmed_authors>Zhang X</pubmed_authors><pubmed_authors>Zhu X</pubmed_authors><pubmed_authors>Qi C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Clonal dynamics shaped by diverse drug-tolerant persister states in melanoma resistance.</name><description>Most advanced melanomas initially respond to targeted therapy but eventually relapse. Rather than acquiring new mutations, resistance is driven by drug-tolerant persister cells that enter a reversible drug-refractory state. We developed MeRLin, a high-resolution lineage tracing platform integrating cellular barcoding, single-cell transcriptomics, RNA fluorescence in situ hybridization (FISH), and computational analyses to track clonal and transcriptional dynamics in patient-derived melanoma models during prolonged therapy. Clonal dynamics revealed that persister subpopulations first responded to treatment but persisted and expanded during minimal residual disease, ultimately leading to tumor recurrence. Pre-treatment melanoma populations diversified into four conserved persister states cha</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Sep</publication><modification>2026-05-04T03:14:35.348Z</modification><creation>2026-05-04T03:13:05.319Z</creation></dates><accession>S-EPMC12458950</accession><cross_references><pubmed>41000875</pubmed><doi>10.1101/2025.09.16.676608</doi></cross_references></HashMap>