Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Homo sapiens

ABSTRACT: Impact of cancer driver gene mutations in cisplatin sensitivity in lung adenocarcinoma cell lines

PROVIDER: PRJNA770999 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR16356243_1.fastq.gz	Fastqsanger.gz
	SRR16356243_2.fastq.gz	Fastqsanger.gz
	SRR16356244_1.fastq.gz	Fastqsanger.gz
	SRR16356244_2.fastq.gz	Fastqsanger.gz
	SRR16356245_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 22

Similar Datasets

Noncoding RNA expression profiling of cisplatin-resistant cells derived from the A549 lung cell line (miRNA)

Project description:To determine the signaling networks that are dysregulated in cisplatin-resistant non-small cell lung cancer, noncoding RNA expression data were obtained from, and compared between, the lung adenocarcinoma cell line, A549, and its cisplatin-resistant derivative, A549/CDDP. Noncoding RNA expression data from a cisplatin-sensitive lung adenocarcinoma cancer cell line (A549) were collected and compared to noncoding RNA expression data from a cisplatin-resistant cell line (A549/CDDP). 3 independent experiments were completed for both the sensitive and resistant cell lines.

2013-01-15 | E-GEOD-43249 | biostudies-arrayexpress

Noncoding RNA expression profiling of cisplatin-resistant cells derived from the A549 lung cell line (lncRNA and mRNA)

2013-01-15 | E-GEOD-43493 | biostudies-arrayexpress

Transcription profiling of human lung cancer cell lines

Project description:Anticancer drug clustering in lung cancer based on gene expression profiles. We performed gene expression analysis in lung cancer cell lines. (used: Affymetrix GeneChip Human Genome U133 Array Set HG-U133A). We also examines the sensitivity of these cell lines to commonly used anti-cancer agents (docetaxel, paclitaxel, gemcitabine, vinorelbine, 5-FU, SN38, cisplatin, and carboplatin) via MTT assay. We related the cytoxic activity of each of these agents to corresponding expression pattern in each of the cell lines using modified NCI program. Experiment Overall Design: gene expression analysis in lung cancer cell lines

2007-12-12 | E-GEOD-4127 | biostudies-arrayexpress

Noncoding RNA expression profiling of cisplatin-resistant cells derived from the A549 lung cell line (miRNA)

2013-01-15 | GSE43249 | GEO

Noncoding RNA expression profiling of cisplatin-resistant cells derived from the A549 lung cell line (lncRNA and mRNA)

2013-01-15 | GSE43493 | GEO

Anticancer drug clustering in lung cancer based on gene expression profiles and sensitivity database

Project description:Anticancer drug clustering in lung cancer based on gene expression profiles. We performed gene expression analysis in lung cancer cell lines. (used: Affymetrix GeneChip Human Genome U133 Array Set HG-U133A). We also examines the sensitivity of these cell lines to commonly used anti-cancer agents (docetaxel, paclitaxel, gemcitabine, vinorelbine, 5-FU, SN38, cisplatin, and carboplatin) via MTT assay. We related the cytoxic activity of each of these agents to corresponding expression pattern in each of the cell lines using modified NCI program. Keywords: cytotoxicity, lung cancer, anticancer drugs

2006-02-10 | GSE4127 | GEO

PARP4 interacts with hnRNPM to regulate splicing during lung cancer progression

Project description:Background: The identification of cancer driver genes from sequencing data has been crucial in deepening our understanding of tumor biology and expanding targeted therapy options. However, apart from the most commonly altered genes, the mechanisms underlying the contribution of other mutations to cancer acquisition remain understudied. Leveraging on our whole-exome sequencing of the largest Asian lung adenocarcinoma (LUAD) cohort (n=302), we now functionally assess the mechanistic role of a novel driver, PARP4. Methods: In vitro and in vivo tumorigenicity assays were used to study the functional effects of PARP4 loss and mutation in multiple lung cancer cell lines. Interactomics analysis by quantitative mass spectrometry was conducted to identify PARP4’s interaction partners. Transcriptomic data from cell lines and patient tumors were used to investigate splicing alterations. Results: PARP4 depletion or mutation (I1039T) promotes the tumorigenicity of KRAS- or EGFR-driven lung cancer cells. Disruption of the vault complex, with which PARP4 is commonly associated, did not alter tumorigenicity, indicating that PARP4’s tumor suppressive activity is mediated independently. The splicing regulator hnRNPM is a potentially novel PARP4 interaction partner, the loss of which likewise promotes tumor formation. hnRNPM loss results in splicing perturbations, with a propensity for dysregulated intronic splicing that was similarly observed in PARP4 knockdown cells and in LUAD cohort patients with PARP4 copy number loss. Conclusions: PARP4 is a novel modulator of lung adenocarcinoma, where its tumor suppressive activity is mediated not through the vault complex – unlike conventionally thought, but in association with its novel interaction partner hnRNPM, thus suggesting a role for splicing dysregulation in LUAD tumorigenesis.

2024-04-02 | PXD050844 | Pride

The M1 aminopeptidase NPEPPS is a novel regulator of cisplatin sensitivity

Project description:Platinum-based chemotherapeutics are used in many combination regimens in cancer. Despite extensive use across diverse cancer types, there is room for improved efficacy and patient selection for treatment. Here, we use bladder cancer to address both issues. A multi-omic assessment of five human bladder cancer cell lines and their chemotherapy resistant derivatives, coupled with in vitro whole-genome CRISPR screens were used to define functional drivers of treatment resistance. We identified 46 genes that sensitized the resistant cell lines to cisplatin plus gemcitabine (GemCis), a standard combination therapy in bladder cancer. Most genes were involved with DNA damage and repair pathways, which have previously been associated with enhanced sensitivity to cisplatin. Evaluating expression of the 46 genes in the whole transcriptome and proteome data in parental and resistant lines identified the puromycin sensitive aminopeptidase, NPEPPS, as a novel hit. Depletion of NPEPPS resulted in sensitizing resistant bladder cancer cells to cisplatin in vitro and in xenograft experiments. Pharmacologic inhibition of NPEPPS with tosedostat in cells and in chemoresistant, bladder cancer patient-derived tumoroids improved response to cisplatin. Prior work found NPEPPS in a protein complex with volume regulated anion channels (VRACs) in several cell line models. Interestingly, depletion of two VRAC subunits, LRRC8A and LRRC8D, known importers of intracellular cisplatin, enhanced resistance to cisplatin. Our findings support NPEPPS as a novel and druggable driver of cisplatin resistance with the potential for rapid translation to clinical investigation.

2024-02-20 | PXD024742 | Pride

Expression Profiling of Pancreatic Xenografts and Cell Lines

Project description:Expression profiling of 70 Pancreatic Ductal Adenocarcinoma (PDAC) samples was performed on Agilent 44K expression arrays for cancer gene discovery. Additionally, matched aCGH on Agilent 244K arrays was performed. These two datasets were integrated in order to identify driver mutations leading to pancreatic cancer. Promising candidates were interrogated further using functional studies. 68 tumor samples (48 xenografts, 20 cell lines). 2 color arrays hybridized against a common reference pool of RNA from 11 cancer cell lines

2011-12-15 | E-GEOD-26088 | biostudies-arrayexpress

Exploring the molecular mechanisms behind the potentiation of chemotherapy effects by durvalumab in lung adenocarcinoma cell lines

Project description:Immune checkpoint inhibitors are increasingly used in combination with chemotherapy for treatment of non-small cell lung cancer, yet the success of combination therapies is relatively limited. Thus, more detailed insight regarding the tumour molecular markers that may affect the responsiveness of patients to therapy is required. Here, we set out to explore the proteome of two lung adenocarcinoma cell lines (HCC-44 and A549) treated with cisplatin, pemetrexed, durvalumab, and the corresponding mixtures to establish the differences in post-treatment protein expression that can serve as markers of chemosensitivity or resistance.

2023-05-12 | PXD040761 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data