refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 305 results
Sort by

Filters

Technology

Platform

accession-icon SRP045678
Heritable variation of mRNA decay rates in yeast
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Gene expression levels are determined by the balance between rates of mRNA transcription and decay, and genetic variation in either of these processes can result in heritable differences in transcript abundance. Although the genetics of gene expression has been the subject of intense interest, the contribution of heritable variation in mRNA decay rates to gene expression variation has received far less attention. To this end, we developed a novel statistical framework and measured allele-specific differences in mRNA decay rates in a diploid yeast hybrid created by mating two genetically diverse parental strains. In total, we estimate that 31% of genes exhibit allelic differences in mRNA decay rate, of which 350 can be identified at a false discovery rate of 10%. Genes with significant allele-specific differences in mRNA decay rate have higher levels of polymorphism compared to other genes, with all gene regions contributing to allelic differences in mRNA decay rate. Strikingly, we find widespread evidence for compensatory evolution, such that variants influencing transcriptional initiation and decay having opposite effects, suggesting steady-state gene expression levels are subject to pervasive stabilizing selection. Our results demonstrate that heritable differences in mRNA decay rates are widespread, and are an important target for natural selection to maintain or fine-tune steady-state gene expression levels. Overall design: We measured rates of allele-specific mRNA decay (ASD) in a diploid yeast produced by mating two genetically diverse haploid Saccharomyces cerevisiae strains: the laboratory strain BY4716 (BY), which is isogenic to the reference sequence strain S288C, and the wild Californian vineyard strain RM11-1a (RM). Briefly, we introduced rpb1-1, a temperature sensitive mutation in an RNA polymerase II subunit, to each of the haploid yeast strains, mated the strains, and grew the resulting hybrid diploid to mid-log phase at 24 °C, before rapidly shifting the culture to 37 °C to inhibit transcription. RNA-seq was performed on culture samples taken at 0, 6, 12, 18, 24, and 42 minutes subsequent to the temperature shift. To identify ASD, we used transcribed polymorphisms to distinguish between parental transcripts, and compared the relative levels of transcript abundance over the time course. Note, this experimental design internally controls for trans-acting regulatory variation as well as environmental factors. Under the null hypothesis of no ASD, the proportion of reads from the BY transcript (p_BY = N_BY / (N_BY + N_RM)) observed over the time course remains unchanged. However, genes with ASD will exhibit an increasing or decreasing proportion of BY reads as a function of time. In total, we measured ASD from three independent biological replicates.

Publication Title

Heritable variation of mRNA decay rates in yeast.

Sample Metadata Fields

Disease, Cell line, Subject

View Samples
accession-icon GSE143297
Canonical BMP signaling executes epithelial-mesenchymal transition downstream of SNAIL1
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Epithelial-mesenchymal transition (EMT) is a pivotal process in development and disease. In carcinogenesis, various signaling pathways are known to trigger EMT by inducing the expression of EMT transcription factors (EMT-TFs) like SNAIL1, ultimately promoting invasion, metastasis and chemoresistance. However, how EMT is executed downstream of EMT-TFs is incompletely understood. Here, using human colorectal cancer (CRC) and mammary cell line models of EMT, we demonstrate that SNAIL1 critically relies on bone morphogenetic protein (BMP) signaling for EMT execution. This activity requires the transcription factor SMAD4 common to BMP/TGFβ pathways, but is TGFβ signaling-independent. Further, we define a signature of BMP-dependent genes in the EMT-transcriptome which orchestrate EMT-induced invasiveness, and are found to be regulated in human CRC transcriptomes and during EMT in vivo. Collectively, our findings substantially augment the knowledge of mechanistic routes whereby EMT can be effectuated, which is relevant for the conceptual understanding and therapeutic targeting of EMT processes.

Publication Title

Canonical BMP Signaling Executes Epithelial-Mesenchymal Transition Downstream of SNAIL1.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE76002
Maternal Obesity is Associated with Ovarian Inflammation and Up-regulation of Early Growth Response Factor (Egr)-1
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Maternal obesity during the pre-implantation period leads to a pro-inflammatory milieu in the ovaries. We conducted a global transcriptomic profiling in ovaries from TEN fed rats during the pre-implantation period. Microarray analysis revealed that obesity lead to increased expression of genes related to inflammation, decreased glucose transporters, and dysregulation of ovarian function-related genes in the ovaries. Our results suggest maternal obesity led to an up-regulation of inflammatory genes and Egr-1 protien expression in peri-implantation ovarian tissue, and a concurrent down-regulation of glucose transporters mRNA and AKT and PI3K protein levels.

Publication Title

Maternal obesity is associated with ovarian inflammation and upregulation of early growth response factor 1.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE22035
Gene expression data in estrogen receptor alpha positive breast tumors with and without PIK3CA mutations.
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

PI3K/AKT pathway plays one of pivotal roles in breast cancer development and maintenance. PIK3CA, coding PIK3 catalytic subunit, is the oncogene which shows the high frequency of gain-of-function mutations leading to the PI3K/AKT pathway activation in breast cancer. In particular in the ER-positive breast tumors PIK3CA mutations have been observed in 30% to 40%. However, genes expressed in connection to the pathway activation in breast tumorigenesis remain largely unknown.

Publication Title

Gene expression profiling reveals new aspects of PIK3CA mutation in ERalpha-positive breast cancer: major implication of the Wnt signaling pathway.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE139401
Genome-wide analysis of gene expression response to type II ribosome inactivating protein stenodactylin
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Time-series analysis of response to ribosome 28s damage at gene expression level

Publication Title

Early Response to the Plant Toxin Stenodactylin in Acute Myeloid Leukemia Cells Involves Inflammatory and Apoptotic Signaling.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE27583
mRNA decay analysis in the mouse myoblast cell line, C2C12 cells treated with conrtol-, Cugbp1- or Mbnl1-siRNA
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

CUGBP1 and MBNL1 are developmentally regulated RNA-binding proteins that are causally associated with myotonic dystrophy type 1. Using HITS-CLIP anlysis, we found CUGBP1 and MBNL1 preferentially bind to alternatively spliced introns and exons, as well as to the 3' UTRs.

Publication Title

CUGBP1 and MBNL1 preferentially bind to 3' UTRs and facilitate mRNA decay.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE43685
Early growth response protein-1 coordinates lipotoxicity-associated placental inflammation: Role in Maternal Obesity
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Maternal obesity during pregnancy leads to a pro-inflammatory milieu in the placenta. We conducted a global transcriptomic profiling in BeWo cells following palmitic acid (PA, 500 uM) and/or TNF-alpha (10 ng/ml) treatment for 24 h. Microarray analysis revealed that placental cytotrophoblasts increased expression of genes related to inflammation, stress response and immediate-early factors in response to plamitic acid, TNF-alpha or a combination of both. Our results suggest that fatty acids and inflammatory cytokines induce inflammation in placental cells via activation of JNK-Egr-1 signaling.

Publication Title

Early growth response protein-1 mediates lipotoxicity-associated placental inflammation: role in maternal obesity.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE41184
1,25-dihydroxyvitamin D3-induced genes in mouse mixed neuron-glial cell cultures
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcriptomic response of mouse mixed neuron-glial cell cultures to 1,25-dihydroxyvitamin D3

Publication Title

The transcriptomic response of mixed neuron-glial cell cultures to 1,25-dihydroxyvitamin d3 includes genes limiting the progression of neurodegenerative diseases.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE50682
Genome-wide transcription profile of CpG-activated peritoneal macrophages
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To compare up-regulation of genes following CpG activation, we performed microarray analysis of activated macrophages from B6 and F1(B6xMOLF) mouse strains. Cells were activated for 0, 2 and 4 hrs with 200nM of type B CpG. Levels of mRNA for many genes differened dramatically between the strains

Publication Title

Mannose receptor 1 mediates cellular uptake and endosomal delivery of CpG-motif containing oligodeoxynucleotides.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP134235
Poly(A)+ RNA-seq from H226 cells expressing doxycycline-inducible Control (non-targeting) and p63-targeting shRNAs
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To determine the impact of ?Np63a knockdown on steady-state mRNA levels, we performed poly(A)-enriched RNA-seq analysis of lung squamous cell carcinoma line H226 (inducible shControl and shp63) in the presence of 1µg/mL doxycycline to induce shRNA expression. Overall design: Poly(A)+ RNA for two independent biological replicates was purified from H226 cells (inducible shControl and shp63) incubated treated for six days with 1 µg/mL doxycycline. a TruSeq Stranded mRNA Library Prep Kit (Illumina). Libraries were sequenced on an Illumina HiSeq 2000 system at the University of Colorado Cancer Center Genomics and Microarray Core facility. Reads were aligned (TopHat2) to the Human reference genome (GRCh37/hg19) and gene-level counts (HTseq-count) were used for differential expression analysis (DESeq2).

Publication Title

ΔNp63α Suppresses TGFB2 Expression and RHOA Activity to Drive Cell Proliferation in Squamous Cell Carcinomas.

Sample Metadata Fields

Specimen part, Cell line, Treatment, 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