Dataset Information

Cell signaling response to growth factors measured by ELISA

ABSTRACT: -

SUBMITTER: Mario Niepel

PROVIDER: LDS-1126 | LINCS | 2015-09-23

REPOSITORIES: LINCS

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	HMS_LINCS&file=LDS-1126.tar.gz	Other

Items per page:

1 - 1 of 1

Publications

Profiles of Basal and stimulated receptor signaling networks predict drug response in breast cancer lines.

Niepel Mario M Hafner Marc M Pace Emily A EA Chung Mirra M Chai Diana H DH Zhou Lili L Schoeberl Birgit B Sorger Peter K PK

Science signaling 20130924 294

Identifying factors responsible for variation in drug response is essential for the effective use of targeted therapeutics. We profiled signaling pathway activity in a collection of breast cancer cell lines before and after stimulation with physiologically relevant ligands, which revealed the variability in network activity among cells of known genotype and molecular subtype. Despite the receptor-based classification of breast cancer subtypes, we found that the abundance and activity of signalin ...[more]

PMID: 24065145

Similar Datasets

Project description:Most adult patients have a D816V mutation in phosphotransferase domain (PTD), we have described that half of the children carry mutations in extracellular domain (ECD). KIT-ECD versus IT-PTD-mutants were introduced into rodent Ba/F3, EML, Rat2 and human TF1 cells to investigate their biological effect. ECD- and PTD-mutants also displayed distinct whole-genome transcriptional profiles in EML cells. We observed differences in their signaling properties: they both activated STAT pathways, whereas AKT pathway was only activated by ECD-mutants. Consistently, AKT inhibitor suppressed ECD-mutant-dependent proliferation, clonogenicity and erythroid differentiation. Expression of myristoylated AKT restored erythroid differentiation in EMLPTD cells, suggesting the differential role of AKT in those mutants. Overall, our study implied different pathogenesis of pediatric versus adult mastocytosis, which might explain their diverse phenotypes. Each EML cell line (Del417-419insY mutant and D816V mutant) was cultured with or without 250 ng/mL SCF for 48h. Gene expression profile analysis was performed using whole-genome microarrays. RNA expression profiling of cell lines was done with Affymetrix M430 2.0 mouse oligonucleotide microarrays containing 45.101 probe sets, representing 21.408 transcripts and variants including 17.482 well-characterized mouse genes. Preparation of cRNA, hybridizations, washes, detection and quantification were done as recommended by the supplier. For each sample, synthesis of the first-strand cDNA was done from 3 μg total RNA by T7-oligo(dT) priming, followed by second-strand cDNA synthesis. After purification, in vitro transcription associated with amplification generated cRNA-containing biotinylated pseudouridine. Biotinylated cRNA was purified, quantified and chemically fragmented (95°C for 35 min), then hybridized to microarrays in 200 μL hybridization buffer at 45°C for 16 h. Automated washes and staining with streptavidin-phycoerythrin were done as recommended. Signal amplification was done by biotinylated antistreptavidin antibody with goat-IgG blocking antibody. Scanning was done with Affymetrix GeneArray scanner and quantification with Affymetrix GCOS software.