Cell line · CVCL_0621
Papers35
1 to 20 of 35
Download this page as JSON| Paper | Journal | Year | How we know | Retracted | Source |
|---|---|---|---|---|---|
| Pharmacological chromatin remodeling enhances response to estrogen therapy in ER+ breast cancer. | Mol Oncol | 2026 | Its Methods give the RRID and name the line | PubMed | |
| CDK2 Inhibition Exerts RB-Independent Antitumor Activity in CDK4/6 Inhibitor-Resistant HR+/HER2- Breast Cancer. | Cancer Res | 2026 | Its Methods give the RRID and name the line | PubMed | |
| Systems-level analyses of protein-protein interaction network dysfunctions via epichaperomics identify cancer-specific mechanisms of stress adaptation. | Nat Commun | 2023 | Its Methods give the RRID and name the line | PubMed | |
| De novo sphingolipid biosynthesis necessitates detoxification in cancer cells. | Cell Rep | 2022 | Its Methods give the RRID and name the line | PubMed | |
| Pan-cancer proteomic map of 949 human cell lines. | Cancer Cell | 2022 | Cellosaurus cites it | PubMed | |
| Torin2 Exploits Replication and Checkpoint Vulnerabilities to Cause Death of PI3K-Activated Triple-Negative Breast Cancer Cells. | Cell Syst | 2020 | Its Methods give the RRID and name the line | PubMed | |
| Next-generation characterization of the Cancer Cell Line Encyclopedia. | Nature | 2019 | Cellosaurus cites it | PubMed | |
| Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens. | Nature | 2019 | Cellosaurus cites it | PubMed | |
| An Interactive Resource to Probe Genetic Diversity and Estimated Ancestry in Cancer Cell Lines. | Cancer Res | 2019 | Cellosaurus cites it | PubMed | |
| Multidimensional phenotyping of breast cancer cell lines to guide preclinical research. | Breast Cancer Res Treat | 2018 | Cellosaurus cites it | PubMed | |
| Characterization of Human Cancer Cell Lines by Reverse-phase Protein Arrays. | Cancer Cell | 2017 | Cellosaurus cites it | PubMed | |
| A Landscape of Pharmacogenomic Interactions in Cancer. | Cell | 2016 | Cellosaurus cites it | PubMed | |
| TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression. | Genome Med | 2015 | Cellosaurus cites it | PubMed | |
| A resource for cell line authentication, annotation and quality control. | Nature | 2015 | Cellosaurus cites it | PubMed | |
| A comprehensive transcriptional portrait of human cancer cell lines. | Nat Biotechnol | 2015 | Cellosaurus cites it | PubMed | |
| Modeling precision treatment of breast cancer. | Genome Biol | 2013 | Cellosaurus cites it | PubMed | |
| Characterization of cell lines derived from breast cancers and normal mammary tissues for the study of the intrinsic molecular subtypes. | Breast Cancer Res Treat | 2013 | Cellosaurus cites it | PubMed | |
| Glutamine sensitivity analysis identifies the xCT antiporter as a common triple-negative breast tumor therapeutic target. | Cancer Cell | 2013 | Cellosaurus cites it | PubMed | |
| miRNA expression profiling of 51 human breast cancer cell lines reveals subtype and driver mutation-specific miRNAs. | Breast Cancer Res | 2013 | Cellosaurus cites it | PubMed | |
| The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. | Nature | 2012 | Cellosaurus cites it | PubMed |
cell-lines-2026-11-14-0.1.0
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- CellosaurusCC BY 4.0, with credit to Cellosaurus (SIB)
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- CellosaurusCC BY 4.0. Cellosaurus's README: "we have chosen to apply the Creative Commons Attribution 4.0 International (CC BY 4.0) license to Cellosaurus (https://creativecommons.org/licenses/by/4.0/). This means that you are free to copy and redistribute Cellosaurus in any medium or format. You can remix, transform, and build upon Cellosaurus for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made." Copyright (c) CALIPHO group, SIB Swiss Institute of Bioinformatics. Read on 14 Nov 2026 at https://ftp.expasy.org/databases/cellosaurus/README
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- NLM's PMC Article DatasetsNLM's PMC Article Datasets on AWS, https://registry.opendata.aws/ncbi-pmc. Its terms: users "acknowledge NLM as the source of the data in a clear and conspicuous manner", do not use the PubMed Central wordmark or the PMC logo, do not "indicate or imply that NLM/NIH/HHS has endorsed" a product, and "only distribute data that are licensed for redistribution". Each article keeps its own license: https://pmc.ncbi.nlm.nih.gov/about/copyright/
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Cellosaurus, SIB Swiss Institute of Bioinformatics, https://www.cellosaurus.org, CC BY 4.0. Its problem notes are given in its own words.
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