Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression data of four cancer cell lines (A375, A549, MCF7, and PC3) treated with KR-37524

ABSTRACT: KR-37524, known as a Urotensin-II receptor antagonist, has low usability due to its low affinity. For this reason, gene expression information was obtained by treating KR-37524 in four cell cancer cell lines to find a new target. The change in gene expression profile was measured and compared with the LINCS L1000 database and used to find a new target.

ORGANISM(S): Homo sapiens

PROVIDER: GSE181088 | GEO | 2021/07/30

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

L1000 Connectivity Map perturbational profiles from Broad Institute LINCS Center for Transcriptomics LINCS Pilot PHASE I (n=1,319,138; updated March 03, 2017)

Project description:The Library of Integrated Cellular Signatures (LINCS) is an NIH program which funds the generation of perturbational profiles across multiple cell and perturbation types, as well as read-outs, at a massive scale. The LINCS Center for Transcriptomics at the Broad Institute uses the L1000 high-throughput gene-expression assay to build a Connectivity Map which seeks to enable the discovery of functional connections between drugs, genes and diseases through analysis of patterns induced by common gene-expression changes. These files represent L1000 data generated during the LINCS Pilot Phase (2012-2015), as well as profiles generated for more specific purposes, such as assay development and validation projects or testing custom compounds or non-standard cell lines (not part of the core LINCS cell lines). Note: Related GEO projects include (a) Additional L1000 and RNA-Seq data used to validate the assay and improve the inference model, available at GSE92743 (b) The LINCS “production phase” (also termed Phase II, 2015-2020) which is generating an additional cohort of L1000 data, available at GSE70138. The Platform is GPL20573: Broad Institute Human L1000 epsilon https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL20573 For questions or assistance with this dataset, please email the CMap support team at: clue@broadinstitute.org

2017-03-03 | GSE92742 | GEO

ChIP-seq for Kr-h1 in Harpegnathos brains

Project description:We performed ChIP-seq with a new Kr-h1 antibody in the central brains of in established gamergates (day 120) and age-matched workers

2021-11-04 | GSE161206 | GEO

Perturbational proteomic and transcriptional profiles of drug perturbations from Broad Institute LINCS Proteomic Characterization Center for Signaling and Epigenetics and Broad Institute LINCS Center for Transcriptomics (U54HG008097) (n=5,063)

Project description:The Library of Integrated Cellular Signatures (LINCS) is an NIH program which funds the generation of perturbational profiles across multiple cell and perturbation types, as well as read-outs, at a massive scale. The LINCS PCCSE uses two high-throughput liquid chromatography-mass spectrometry (LCMS) assays to study the proteomic changes induced by drug and genetic perturbations. P100 monitors ~100 phosphorylated peptides from cellular proteins that serve as a reduced representation of the phosphoproteome. GCP monitors ~60 modified peptides from histones (e.g., methylated, acetylated, and combinations thereof) encompassing nearly every well-studied post-translational modification on the core nucleosomal histone proteins. Closely complementing these assays is the L1000 high-throughput gene-expression assay. The files available here contain P100, GCP, and L1000 data for 90 small-molecule perturbations in six cell lines (five cancer cell lines and a neurodevelopmental cell model). These data were generated under the auspices of the NIH LINCS Program (www.lincsproject.org). Note: Related GEO projects include a large corpus of additional L1000 data, available at GSE92742. The Platform for the L1000 data is GPL20573: Broad Institute Human L1000 epsilon http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL20573 For questions or assistance with this dataset, please email the Connectivity Map support team at: clue@broadinstitute.org

2017-08-24 | GSE101406 | GEO

Broad Institute L1000 Connectivity Map and RNAseq gene expression profiles on tissue samples from the GTEx project

Project description:The Library of Integrated Cellular Signatures (LINCS) is an NIH program which funds the generation of perturbational profiles across multiple cell and perturbation types, as well as read-outs, at a massive scale. The LINCS Center for Transcriptomics at the Broad Institute uses the L1000 high-throughput gene-expression assay to profile a range of cellular models and perturbations of cellular state. These data relate to using RNA-Seq datasets from the GTEx consortium (http://www.gtexportal.org/) to validate the L1000 assay and to improve the statistical model used in imputing the transcriptome. The Platform is GPL20573: Broad Institute Human L1000 epsilon https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL20573 For questions or assistance with this dataset, please email the CMap support team at: clue@broadinstitute.org

2017-03-03 | GSE92743 | GEO

Transcriptome analysis of Drosophila Kr-h1 mutants

Project description:Transcriptome analysis (RNA-Seq) was performed to identify Kr-h1 target genes. Message RNAs were extracted from wildtype and kr-h1[7] homozygous 3rd instar larvae at 100 hr after egg laying (two biological replicates for each genotype).

2016-12-31 | GSE85863 | GEO

L1000 Connectivity Map perturbational profiles from Broad Institute LINCS Center for Transcriptomics LINCS PHASE *II* (n=354,123; updated March 30, 2017)

Project description:The Library of Integrated Cellular Signatures (LINCS) is an NIH program which funds the generation of perturbational profiles across multiple cell and perturbation types, as well as read-outs, at a massive scale. The LINCS Center for Transcriptomics at the Broad Institute uses the L1000 high-throughput gene-expression assay to build a Connectivity Map which seeks to enable the discovery of functional connections between drugs, genes and diseases through analysis of patterns induced by common gene-expression changes. The platform is GPL20573: Broad Institute Human L1000 epsilon http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL20573 For questions or assistance with this dataset, please email the CMap support team at: clue@broadinstitute.org

2015-07-15 | GSE70138 | GEO

Expression profile of oral tumors from KR versus KHR mice treated with tamoxifen

Project description:kRas (KR) tumors grow faster when expressing kRas and HPV E6E7 (KHR). The hypothesis was to test for differences in gene expression between KR and KHR oral tumors.

2022-06-14 | GSE97417 | GEO

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis [Tissue_RNA-seq]

Project description:we present a novel path to drug repurposing to identify new immunotherapies for ASCVD. The integration of time of-flight mass cytometry (CyTOF) and RNA-sequencing identified unique inflammatory signatures in peripheral blood mononuclear cells (PBMCs) stimulated with ASCVD plasma. By comparing these inflammatory signatures to large-scale gene expression data from the LINCS L1000 dataset, we identified drugs that could reverse this inflammatory response. In conclusion, a systems immunology-driven drug repurposing with pre- clinical validation strategy can aid the development of new cardiovascular immunotherapies.

2023-04-23 | GSE230216 | GEO

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis [DRUG_RNA-seq]

2023-04-23 | GSE230215 | GEO

Systems immunology-based drug repurposing framework to target inflammation in atherosclerosis [RNA-seq_PBMC]

2023-04-23 | GSE230214 | GEO