refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 511 results
Sort by

Filters

Technology

Platform

accession-icon GSE38189
Synthetic circuits for tracking human cell fate
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Cells respond heterogeneously to DNA damage. We engineered genetic circuits to detect differential responses in a population that persist for many days post-stimulus.

Publication Title

Synthetic memory circuits for tracking human cell fate.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon SRP126289
Impact of regulatory variation across human iPSCs and differentiated cells [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 67 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Induced pluripotent stem cells (iPSCs) are an essential tool for studying cellular differentiation and cell types that are otherwise difficult to access. Here we investigate the use of iPSCs and iPSC-derived cells to study the impact of genetic variation across different cell types and as models for the genetics of complex disease. We established a panel of iPSCs from 58 well-studied Yoruba lymphoblastoid cell lines (LCLs); 14 of these lines were further differentiated into cardiomyocytes. We characterized regulatory variation across individuals and cell types by measuring RNA, chromatin accessibility and DNA methylation. Regulatory variation between individuals is lower in iPSCs than in the differentiated cell types, consistent with the intuition that developmental processes are generally canalized. While most cell-type- specific regulatory effects lie in chromatin that is open only in the affected cell-types, we find that 20% of cell-type specific effects are in shared open chromatin. Finally, we developed deep neural network models to predict open chromatin regions in these cell types from DNA sequence alone and were able to use the sequences of segregating haplotypes to predict the effects of common SNPs on tissue-specific chromatin accessibility. Our results provide a framework for using iPSC technology to study regulatory variation in cell types that are otherwise inaccessible. Keywords: Expression profiling by high throughput sequencing Overall design: Immortalized lymphoblastoid cell lines from 58 African individuals were reprogrammed into induced pluripotent stem cells

Publication Title

Impact of regulatory variation across human iPSCs and differentiated cells.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon DRP000464
pre-miRNA profiles obtained through application of locked nucleic acids reveals complex 5'/3' arm variation including concomitant cleavage and polyuridylation patterns
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

Recent research hints at an underappreciated complexity in pre-miRNA processing and regulation. Global profiling of pre-miRNA and its potential to increase understanding of the pre-miRNA landscape is impeded by overlap with highly-expressed classes of other non-coding RNA. Here we present a dataset excluding these RNA before sequencing through locked nucleic acids (LNA), greatly increasing pre-miRNA sequence counts with no discernable effects on pre-miRNA or mature miRNA sequencing. Analysis of profiles generated in total, nuclear, and cytoplasmic cell fractions reveals pre-miRNAs are subject to a wide range of regulatory processes involving loci-specific 3'- and 5'-end variation entailing complex cleavage patterns with co-occurring polyuridylation. Additionally, examination of nuclear-enriched flanking sequences of pre-miRNA, particularly those derived from polycistronic miRNA transcripts, provides insight into miRNA and miRNA-offset (moRNA) production. Our findings point to particularly intricate regulation of the let-7 family, introduce novel and unify known forms of pre-miRNA regulation and processing, and shed new light on the byproducts of miRNA processing pathways. none provided

Publication Title

pre-miRNA profiles obtained through application of locked nucleic acids and deep sequencing reveals complex 5'/3' arm variation including concomitant cleavage and polyuridylation patterns.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE22176
Vitamin D and Gene Expression
  • organism-icon Homo sapiens
  • sample-icon 78 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

A ChIP-seq defined genome-wide map of vitamin D receptor binding: associations with disease and evolution.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon GSE22174
Vitamin D and Gene Expression [A690]
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Genome-wide expression analysis of hapmap lymphoblastoid and ENCODE project cell lines stimulated with calcitriol

Publication Title

A ChIP-seq defined genome-wide map of vitamin D receptor binding: associations with disease and evolution.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon GSE22172
Vitamin D and Gene Expression [A589]
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Genome-wide expression analysis of hapmap lymphoblastoid and ENCODE project cell lines stimulated with calcitriol and/or estrogen

Publication Title

A ChIP-seq defined genome-wide map of vitamin D receptor binding: associations with disease and evolution.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon GSE70881
Expression analysis of draculin (drl) expressing cells in embryonic zebrafish
  • organism-icon Danio rerio
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Zebrafish Gene 1.0 ST Array (zebgene10st)

Description

drl expression initiates during gastrulation and condenses as a band of cells at the prospective lateral embryo margin. In late epiboly, drl:EGFP is detectable as a band of scattered EGFP-fluorescent cells; after gastrulation, drl:EGFP-positive cells coalesce at the embryo margin that then in somitogenesis break down into the anterior and posterior lateral plate with subsequent cell migrations that form the posterior vascular/hematopoietic stripes and the anterior cardiovascular and myeloid precursors.

Publication Title

Chamber identity programs drive early functional partitioning of the heart.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE19696
Effect of Dietary Supplementation of Selenium (Organic vs. Inorganic) on Liver Gene Expression Profile in Beef Heifers
  • organism-icon Bos taurus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Selenium (Se) is an essential nutrient for beef cattle health and commercial production. The molecular mechanisms responsible for the physiological responses of the animal to dietary Se supplementation, however, have not been evaluated. Furthermore, the potential effect of two chemical forms (organic vs. inorganic) of Se on gene expression by Se-sufficient cattle has not been evaluated.

Publication Title

Dietary supplementation of selenium in inorganic and organic forms differentially and commonly alters blood and liver selenium concentrations and liver gene expression profiles of growing beef heifers.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE62382
Neonatal testis transcriptome profiles differ among calves born to cows supplemented with different forms of dietary selenium throughout gestation
  • organism-icon Bos taurus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Bovine Gene 1.0 ST Array (bovgene10st)

Description

In many parts of the US, selenium (Se)-deficient soils dictate the necessity of supplementing this trace mineral directly to the diet of cattle, with the form of Se supplied known to affect tissue-level gene expression profiles and presumably function. Because a deficiency of Se will reduce fertility, including reduced biosynthesis of testosterone by the testis and an increased frequency of abnormalities in mature spermatozoa, we hypothesized that the form of Se supplemented to cows during gestation would affect the transcriptome of the neonatal bull calf testis. Microarray analysis using the Bovine gene 1.0 ST array (GeneChip; Affymetrix, Inc., Santa Clara, CA) was conducted to determine whether gestational form of supplemental Se affected gene expression profiles in the testis. GeneChip transcript annotations were last updated in January 2013 using the annotation update release 33 from the NetAffx annotation database.

Publication Title

Gestational form of Selenium in Free-Choice Mineral Mixes Affects Transcriptome Profiles of the Neonatal Calf Testis, Including those of Steroidogenic and Spermatogenic Pathways.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP096954
Genome-wide maps of metabolic labeled RNA in Drosophila S2 cells.
  • organism-icon Drosophila melanogaster
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina HiSeq 2500

Description

We report the application of ultrashort metabolic labeling of RNA for high-throughput profiling of RNA processing in Drosophila S2 cells. Overall design: Examination of 3 different labeling timepoints in Drosophila S2 cells.

Publication Title

The kinetics of pre-mRNA splicing in the <i>Drosophila</i> genome and the influence of gene architecture.

Sample Metadata Fields

Cell line, Subject

View Samples
...

refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

BSD 3-Clause LicensePrivacyTerms of UseContact