Project description:We created a human histologically normal pancreas eQTL resource using 91 fresh frozen tissue samples from patients diagnosed with pancreatic cancer (Mayo Clinic and Memorial Sloan Kettering Cancer Center) or from organ donors without a history of pancreatic cancer (Penn State University) by RNA-Sequencing. Genome wide genotyping was done using blood derived DNA samples or normal derived tissue samples. An average of ~369,4 million reads (paired end, stranded, 101 bp) and 724981 genotypes (per sample) were generated.

| phs001776 | dbGaP

Integrative analysis of the genomic architecture of a complex kidney damage QTL in inbred hypertensive rats implies Tmem63c for translational research

Project description:Despite recent advances in genomics, the identification of genes underlying complex diseases remains challenging. Inbred rat strains offer well-established experimental models to support the identification of susceptibility genes for diseases such as kidney damage associated with elevated blood pressure or hypertension. Here, we combined quantitative trait locus (QTL) mapping in two contrasting inbred rat strains with targeted next generation sequencing (NGS), compartment-specific transcriptome sequencing (RNA-Seq), and phenotype directed follow-up translational analysis.

2018-08-11 | GSE102546 | GEO

Yeast Phospho QTL (resubmission)

Project description:Rachel Brem's QTL yeast strain collection (BY4716 x S288C cross) profiled by full lysate and phospho-enrichment proteomic analysis

2022-05-10 | PXD010893 | Pride

NCI-H460-LNM35 vs NCI-H460-N15

Project description:Comparing genome-wide gene expression profiles of highly metastatic lung cancer cell line NCI-H460-LNM35 vs low metastatic parental clone NCI-H460-N15 Keywords: Expression profiling with cDNA microarray

2010-08-21 | GSE16649 | GEO

An integrated cell purification and genomics strategy reveals multiple regulators of pancreas development.

Project description:The regulatory logic underlying global transcriptional programs controlling development of visceral organs like the pancreas remains undiscovered. Here, we profiled gene expression in 12 purified populations of fetal and adult pancreatic epithelial cells representing crucial progenitor cell subsets, and their endocrine or exocrine progeny. Using probabilistic models to decode the general programs organizing gene expression, we identified co-expressed gene modules in cell subsets that revealed patterns and processes governing progenitor cell development, lineage specification, and endocrine cell maturation. Module network analysis linked established regulators like Neurog3 to unrecognized roles in endocrine secretion and protein transport, and nominated multiple candidate regulators of pancreas development. Phenotyping mutant mice revealed that candidate regulatory genes encoding transcription factors, including Bcl11a, Etv1, Prdm16 and Runx1t1, are essential for pancreas development or glucose control. Our integrated approach provides a unique framework for identifying regulatory networks underlying pancreas development and diseases like diabetes mellitus. Gene expression analysis: 12 primary cell populations from wild-type pancreas and 1 cell type from a mutant background (E15 Ngn3-null cells) pancreas (in fetal and adult stage) were purified using a combination of cell surface markers and transgenic reporters. Total RNA was isolated from each cell type in at least biological triplicates, amplified and hybridized to Affymetrix Mouse 430 2.0 arrays.

2014-10-16 | E-GEOD-54374 | biostudies-arrayexpress

Transcriptome profiling of Anlotinib-resistant NCI-H1975 and Anlotinib-treated Anlotinib-resistant NCI-H1975

Project description:Further to our previous study (E-MTAB-5997), here we performed transcriptome profiling on Anlotinib-resistant NCI-H1975 and Anlotinib-treated Anlotinib-resistant NCI-H1975, and would like to understand the effects of Anlotinib on Anlotinib-resistant NCI-H1975 cell, compare the different transcriptome profiling on NCI-H1975 cells and Anlotinib-resistant NCI-H1975 cells, sought to find the biomarker for explaining Anlotinib resistance.

2019-07-01 | E-MTAB-7068 | biostudies-arrayexpress

NCI-60 Cancer Cell Line

Project description:NCI-60 cancer cell lines were profiled with their genome-wide gene expression patterns using Affymetrix HG-U133A chips. Keywords: NCI-60 cancer cell line expression profiling

2009-08-26 | GSE5846 | GEO

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