Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA335583 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR3955810.fastq.gz | Fastqsanger.gz | |||
| SRR3955820.fastq.gz | Fastqsanger.gz | |||
| SRR3955801.fastq.gz | Fastqsanger.gz | |||
| SRR3955811.fastq.gz | Fastqsanger.gz | |||
| SRR3955821.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Acquired drug resistance prevents targeted cancer therapy from achieving stable and complete responses. Emerging evidence implicates a key role for nonmutational mechanisms including changes in cell state during early stages of acquired drug resistance. Targeting nonmutational resistance may therefore present a therapeutic opportunity to eliminate residual surviving tumor cells and impede relapse. A variety of cancer cell lines harbor quiescent, reversibly drug-tolerant âpersisterâ cells which survive cytotoxic drugs including targeted therapies and chemotherapies. These persister cells survive drug through nonmutational mechanisms which are poorly understood. Specifically targeting persister cells is a promising strategy to prevent tumor relapse. We sought to identify therapeutically exploitable vulnerabilities in persister cells using the HER2-amplified breast cancer line BT474 as an experimental model. Similar to other persister cell models, upon treatment with the HER2 inhibitor lapatinib (2uM concentration) for nine or more days, the majority of BT474 cells die, revealing a small population of quiescent surviving persister cells. Removal of lapatinib allows the persister cells to regrow and to re-acquire sensitivity to lapatinib. Subsequent lapatinib treatment re-derives persister cells. The reversibility of persister cell drug resistance indicates a nonmutational resistance mechanism. Here we provide RNAseq gene expression profiling data generated from parental BT474 cells compared to BT474 persister cells generated from nine days of treatment with 2 uM lapatinib. These data can be used to identify genes and pathways which are upregulated in persister cells, revealing potential therapeutic targets. 3 biological replicates of BT474 persister cells, two biological replicates of BT474 parental cells
2016-07-28 | E-GEOD-84896 | biostudies-arrayexpress
Project description:Acquired drug resistance prevents targeted cancer therapy from achieving stable and complete responses. Emerging evidence implicates a key role for nonmutational mechanisms including changes in cell state during early stages of acquired drug resistance. Targeting nonmutational resistance may therefore present a therapeutic opportunity to eliminate residual surviving tumor cells and impede relapse. A variety of cancer cell lines harbor quiescent, reversibly drug-tolerant “persister” cells which survive cytotoxic drugs including targeted therapies and chemotherapies. These persister cells survive drug through nonmutational mechanisms which are poorly understood. Specifically targeting persister cells is a promising strategy to prevent tumor relapse. We sought to identify therapeutically exploitable vulnerabilities in persister cells using the HER2-amplified breast cancer line BT474 as an experimental model. Similar to other persister cell models, upon treatment with the HER2 inhibitor lapatinib (2uM concentration) for nine or more days, the majority of BT474 cells die, revealing a small population of quiescent surviving persister cells. Removal of lapatinib allows the persister cells to regrow and to re-acquire sensitivity to lapatinib. Subsequent lapatinib treatment re-derives persister cells. The reversibility of persister cell drug resistance indicates a nonmutational resistance mechanism. Here we provide RNAseq gene expression profiling data generated from parental BT474 cells compared to BT474 persister cells generated from nine days of treatment with 2 uM lapatinib. These data can be used to identify genes and pathways which are upregulated in persister cells, revealing potential therapeutic targets.
2016-07-28 | GSE84896 | GEO
Project description:Transcriptional profiling of human HER2-positive BT474 breast cancer cells comparing control untreated cancer cells with lapatinib-resistant clone established by chronic treatment with lapatinib
2013-10-31 | GSE51889 | GEO
Project description:Transcriptional profiling of human HER2-positive BT474 breast cancer cells comparing control untreated cancer cells with lapatinib-resistant clone established by chronic treatment with lapatinib Two-condition experiment, parental cells vs. lapatinib-resistant (LR) clone.
2013-10-31 | E-GEOD-51889 | biostudies-arrayexpress
Project description:The intention was to detect genes that are determining trastuzumab efficiency in HER2-positive breast cancer cell lines with different resistance phenotypes. While BT474 should be sensitive to the drug treatment, HCC1954 is expected to be resistant due to a PI3K mutation. The cell line BTR50 has been derived from BT474 and was cultured to be resistant as well. Based on RNA-Seq data, we performed differential expression analyses on these breast cancer cell lines with and without trastuzumab treatment. In detail, five separate tests were performed, namely resistant cells vs. wild type, i.e. HCC1954 and BTR50 vs. BT474, respectively, and untreated vs. drug treated cells. The significant genes of the first two tests should contribute to resistance. The significant genes of the test BT474 vs. its drug treated version should contribute to the trastuzumab effect. To exclude false positives from the combined gene set (#64), we removed ten genes that were also significant in the test BTR50 vs. its drug treated version. This way we ended up with 54 genes that are very likely to determine trastuzumab efficiency in HER2-positive breast cancer cell lines. mRNA profiles of human breast cancer cell lines were generated by deep sequencing using Illumina HiSeq 2000. The cell lines BT474 and HCC1954 were analyzed with and without trastuzumab treatment. HCC1954 is known to be trastuzumab resistant. Additionally, the cell line BTR50 was generated as resistant version of BT474, and was analyzed with and without trastuzumab as well.
2015-04-21 | E-GEOD-55005 | biostudies-arrayexpress
Project description:In order to identify mechanisms of drug resistance to HER2-targeted therapy, we performed cDNA microarray analysis on drug naiive BT474 and drug resistant BT474 cells treated with lapatinib for 0, 10, and 20 hrs.
2020-04-14 | GSE136304 | GEO
Project description:We performed RNA-seq to investigate gene expression changes in pancreatic cancer cells following chemotherapeutic drug treatment. We identify a reversible senescence state among the drug-tolerant persister cells.
2022-08-22 | GSE189764 | GEO
Project description:Despite advances in HER2-targeted therapeutics, resistance remains a significant clinical problem in HER2-positive (HER2+) breast cancer, especially in the metastatic setting. Drug-tolerant persisters (DTPs), a sub-population of cancer cells that survive via reversible, non-genetic mechanisms, are implicated in resistance to tyrosine kinase inhibitors (TKIs) in several cancer models, but DTPs for HER2-targeted TKIs have not been characterized extensively. We found that upon treatment with the TKI lapatinib, HER2+ breast cancer lines yielded DTPs with luminal-like or mesenchymal-like transcriptional programs and differential sensitivity to lapatinib/anti-estradiol combinations. Lentiviral barcoding and single cell RNA-sequencing indicate that HER2+/ER+ cells cycle stochastically through a pre-DTP state, characterized by a G0-like signature, which uniquely gives rise to DTPs upon lapatinib exposure.
2021-12-13 | GSE156246 | GEO
Project description:The intention was to detect genes that are determining trastuzumab efficiency in HER2-positive breast cancer cell lines with different resistance phenotypes. While BT474 should be sensitive to the drug treatment, HCC1954 is expected to be resistant due to a PI3K mutation. The cell line BTR50 has been derived from BT474 and was cultured to be resistant as well. Based on RNA-Seq data, we performed differential expression analyses on these breast cancer cell lines with and without trastuzumab treatment. In detail, five separate tests were performed, namely resistant cells vs. wild type, i.e. HCC1954 and BTR50 vs. BT474, respectively, and untreated vs. drug treated cells. The significant genes of the first two tests should contribute to resistance. The significant genes of the test BT474 vs. its drug treated version should contribute to the trastuzumab effect. To exclude false positives from the combined gene set (#64), we removed ten genes that were also significant in the test BTR50 vs. its drug treated version. This way we ended up with 54 genes that are very likely to determine trastuzumab efficiency in HER2-positive breast cancer cell lines.
2015-04-21 | GSE55005 | GEO
Project description:The Ontogeny and Vulnerabilities of Lapatinib Drug Tolerant Persisters [Parental (P) vs. Drug-Tolerant Persister (DTP)]
| PRJNA649434 | ENA