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10.1093/nar/gkaf1065 http://scihub22266oqcxt.onion/10.1093/nar/gkaf1065 41160885!?!41160885 Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=41160885&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Nucleic+Acids+Res 2025 ; ? (?): ? Nephropedia Template TP {{tp|p=41160885|t=2025. scCT-DB, an omnibus for cancer patient-derived paired pre- and post-treatment single-cell transcriptomes to reveal drug perturbation and drug resistance mechanisms |pdf=|usr=}}{{41160885}} gab.com Text scCT-DB, an omnibus for cancer patient-derived paired pre- and post-treatment single-cell transcriptomes to reveal drug perturbation and drug resistance mechanisms JO: Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=41160885 #FOAvip Drug resistance continues to be a major challenge in cancer treatment. Understanding cellular and molecular dynamics after treatment is crucial for elucidating resistance mechanisms. Single-cell RNA sequencing (scRNA-seq) of paired pre- and post-treatment patient samples enables high-resolution exploration of such dynamics, but rapidly accumulated relevant data bring challenges for easy data access, integration, and reuse. Therefore, we present the Cancer Treatment-related Single-Cell transcriptome DataBase (scCT-DB, http://scctdb.ncpsb.org.cn). scCT-DB has comprehensively collected 266 patient-derived paired pre- and post-treatment scRNA-seq datasets processed by a uniform pipeline and with detailed and structured metadata, most of which simultaneously include information on primary/acquired drug response. scCT-DB includes 6.19 million cells from 1142 original patient samples, 27 major cancer types, 96 therapeutic regimens, and 102 drugs (involving chemotherapy, immunotherapy, hormone therapy, and targeted therapy). scCT-DB also provides 48 dataset pairs with opposite primary response groupings and 41 longitudinal datasets with >/=3 sampling timepoints. Besides data browsing, download, and search, scCT-DB also supports single-dataset analysis (including cell abundance, gene, cell state, and intercellular communication perturbation analyses), dataset comparative and re-combination analyses, providing insights into drug perturbation mechanisms and their heterogeneity in patients, drug resistance mechanisms, and discovery of biomarkers predictive of treatment response, etc. Twit Text FOAVip scCT-DB, an omnibus for cancer patient-derived paired pre- and post-treatment single-cell transcriptomes to reveal drug perturbation and drug resistance mechanisms ????Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=41160885 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=41160885 #FOAvip English Wikipedia <ref>{{Cite pmid|41160885}}</ref> scCT-DB, an omnibus for cancer patient-derived paired pre- and post-treatment single-cell transcriptomes to reveal drug perturbation and drug resistance mechanisms #MMPMID41160885 Ma S; Jiang J; Zhang R; Ren X; Li D; Li X; Mu H; Liu P; Zuo L; Zhao T; Gu A; Li D; Liu Z Nucleic Acids Res 2025[Oct]; ? (?): ? PMID41160885show ga Drug resistance continues to be a major challenge in cancer treatment. Understanding cellular and molecular dynamics after treatment is crucial for elucidating resistance mechanisms. Single-cell RNA sequencing (scRNA-seq) of paired pre- and post-treatment patient samples enables high-resolution exploration of such dynamics, but rapidly accumulated relevant data bring challenges for easy data access, integration, and reuse. Therefore, we present the Cancer Treatment-related Single-Cell transcriptome DataBase (scCT-DB, http://scctdb.ncpsb.org.cn). scCT-DB has comprehensively collected 266 patient-derived paired pre- and post-treatment scRNA-seq datasets processed by a uniform pipeline and with detailed and structured metadata, most of which simultaneously include information on primary/acquired drug response. scCT-DB includes 6.19 million cells from 1142 original patient samples, 27 major cancer types, 96 therapeutic regimens, and 102 drugs (involving chemotherapy, immunotherapy, hormone therapy, and targeted therapy). scCT-DB also provides 48 dataset pairs with opposite primary response groupings and 41 longitudinal datasets with >/=3 sampling timepoints. Besides data browsing, download, and search, scCT-DB also supports single-dataset analysis (including cell abundance, gene, cell state, and intercellular communication perturbation analyses), dataset comparative and re-combination analyses, providing insights into drug perturbation mechanisms and their heterogeneity in patients, drug resistance mechanisms, and discovery of biomarkers predictive of treatment response, etc. ?scCT-DB, an omnibus for cancer patient-derived paired pre- and post-tr(epmc).pdf DeepDyve Pubget Overpricing