Cell line · CVCL_1294
Papers31
1 to 20 of 31
Download this page as JSON| Paper | Journal | Year | How we know | Retracted | Source |
|---|---|---|---|---|---|
| Increased vulnerability of colorectal cancer models with high alkylation damage to NTHL1 inactivation. | Sci Rep | 2026 | Its Methods give the RRID and name the line | PubMed | |
| Mesenchymal Colorectal Cancers Secrete Vesicles With Unique Cargo That Can Be Used for Liquid Biopsy Based Diagnostics. | J Extracell Vesicles | 2025 | Its Methods give the RRID and name the line | PubMed | |
| Clonal dispersal is associated with tumor heterogeneity and poor prognosis in colorectal cancer. | iScience | 2025 | Its Methods give the RRID and name the line | PubMed | |
| Exploiting a subtype-specific mitochondrial vulnerability for successful treatment of colorectal peritoneal metastases. | Cell Rep Med | 2024 | Its Methods give the RRID and name the line | PubMed | |
| Base editing screens map mutations affecting interferon-γ signaling in cancer. | Cancer Cell | 2023 | 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 | |
| Quantitative Proteomics of the Cancer Cell Line Encyclopedia. | Cell | 2020 | Cellosaurus cites it | PubMed | |
| Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types. | Nat Commun | 2019 | Cellosaurus cites it | 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 | |
| Differential Effector Engagement by Oncogenic KRAS. | Cell Rep | 2018 | Cellosaurus cites it | PubMed | |
| Pharmacoproteomic characterisation of human colon and rectal cancer. | Mol Syst Biol | 2017 | Cellosaurus cites it | PubMed | |
| Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells. | Cell Rep | 2017 | 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 | |
| The molecular landscape of colorectal cancer cell lines unveils clinically actionable kinase targets. | Nat Commun | 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 |
cell-lines-2026-11-14-0.1.0
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- CellosaurusCC BY 4.0, with credit to Cellosaurus (SIB)
- PubMed Central's articlesTitles shown only for CC0, CC BY and public domain articles
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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
- PubMed Central's articlesEach article's own license. Its words show only under CC0, CC BY or public domain
- 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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