refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 915 results
Sort by

Filters

Technology

Platform

accession-icon GSE50451
Microarray analysis of Merkel cell carcinoma (MCC) tumors, small cell lung cancer (SCLC) tumors, and MCC cell lines
  • organism-icon Homo sapiens
  • sample-icon 77 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

When using cell lines to study cancer, phenotypic similarity to the original tumor is paramount. Yet, little has been done to characterize how closely Merkel cell carcinoma (MCC) cell lines model native tumors. To determine their similarity to MCC tumor samples, we characterized MCC cell lines via gene expression microarrays. Using whole transcriptome gene expression signatures and a computational bioinformatic approach, we identified significant differences between variant cell lines (UISO, MCC13, and MCC26) and fresh frozen MCC tumors. Conversely, the classic WaGa and Mkl-1 cell lines more closely represented the global transcriptome of MCC tumors. When compared to publicly available cancer lines, WaGa and Mkl-1 cells were similar to other neuroendocrine tumors, but the variant cell lines were not. WaGa and Mkl-1 cells grown as xenografts in mice had histological and immunophenotypical features consistent with MCC, while UISO xenograft tumors were atypical for MCC. Spectral karyotyping and short tandem repeat analysis of the UISO cells matched the original cell line's description, ruling out contamination. Our results validate the use of transcriptome analysis to assess the cancer cell line representativeness and indicate that UISO, MCC13, and MCC26 cell lines are not representative of MCC tumors, whereas WaGa and Mkl-1 more closely model MCC.

Publication Title

Assessment of cancer cell line representativeness using microarrays for Merkel cell carcinoma.

Sample Metadata Fields

Specimen part, Disease, Cell line

View Samples
accession-icon GSE26624
DGAT enzymes are required for triacylglycerol synthesis and lipid droplets in adipocytes
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Murine embryonic fibroblasts were isolated from WT and DGAT1,DGAT2-KO (D1D2KO) animals. mRNA was isolated from cells untreated (UNDIFF) or treated (DIFF) according to standard differentiation protocol for adipocytes (Harris, C, et al. JLR 2011).

Publication Title

DGAT enzymes are required for triacylglycerol synthesis and lipid droplets in adipocytes.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP059270
Transcriptome Engineering Promotes a Fermentative Transcriptional State
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 83 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 2000, Illumina Genome Analyzer IIx

Description

Purpose: The ability to rationally manipulate the transcriptional states of cells would be of great use in medicine and bioengineering. We have developed a novel algorithm, NetSurgeon, which utilizes genome-wide gene regulatory networks to identify interventions that force a cell toward a desired expression state. Results: We used NetSurgeon to select transcription factor deletions aimed at improving ethanol production in S. cerevisiae cultures that are catabolizing xylose. We reasoned that interventions that move the transcriptional states of cells utilizing xylose toward the fermentative state typical of cells that are producing ethanol rapidly (while utilizing glucose) might improve xylose fermentation. Some of the interventions selected by NetSurgeon successfully promoted a fermentative transcriptional state in the absence of glucose, resulting in strains with a 2.7-fold increase in xylose import rates, a 4-fold improvement in xylose integration into central carbon metabolism, or a 1.3-fold increase in ethanol production rate. Conclusions: We conclude by presenting an integrated model of transcriptional regulation and metabolic flux that will enable future metabolic engineering efforts aimed at improving xylose fermentation to prioritize functional regulators of central carbon metabolism. Overall design: Mutant and wildtype S. cerevisiae cells were put into 48 hour aerobic batch fermentations of synthetic complete medium supplmented with 2% glucose and 5% xylose and culture samples were taken at 4 hours and 24 hours for transcriptional profiling performed by RNA-Seq analysis. In addition, wildtype S. cerevisiae cells were grown in various single carbon sources for 12 hours and culture samples were taken for transcriptional profiling performed by RNA-Seq analysis.

Publication Title

Model-based transcriptome engineering promotes a fermentative transcriptional state in yeast.

Sample Metadata Fields

Subject

View Samples
accession-icon GSE50994
Silymarin Suppresses Cellular Inflammation By Inducing Reparative Stress Signaling
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Silymarin (SM) is a popular botanical medicine with purported liver protective effects. SM displays multiple effects in animal models and in cell culture including prevention of liver disease, reduction of inflammation, oxidative stress, and proliferation. Despite a plethora of data indicating that SM impinges on multiple cellular signaling pathways important in inflammation and disease, no unifying mechanisms have been forwarded. To define how SM elicits so many biological effects, the current study presents the first comprehensive transcriptional profiling study of human hepatoma cells treated with SM. The intention of the study was to focus on the early transcriptional events that are associated with SM-induced inhibition of proliferation and inflammation. Collectively, the data demonstrate that SM causes a rapid transcriptional reprogramming of cells that initially manifests as energy stress and slowing of cellular metabolism, leading to inhibition of cell growth and inflammation.

Publication Title

Silymarin Suppresses Cellular Inflammation By Inducing Reparative Stress Signaling.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Time

View Samples
accession-icon SRP063661
Expression profiles of cultured human epididymis cells reveal the functional diversity of caput, corpus and cauda regions.
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Purpose: To compare the transcriptome profiles (RNA-seq) of cultured human epididymis cells and tissue from the caput, corpus and cauda regions of the human epididymis. Methods: Human epididymis tissue was obtained with Institutional Review Board approval from 3 patients (UC05, UC06, UC09, range: 22 - 36 years) undergoing inguinal radical orchiectomy for a clinical diagnosis of testicular cancer. None of the epididymides had extension of the testicular cancer. The three anatomical regions: caput, corpus and cauda, were separated and segments of each snap frozen. Adult human epididymis epithelial (HEE) cultures were also established from tissue. RNA was extracted from both tissue and cultured HEE cells and RNA-seq libraries prepared (TruSeq RNA Sample Preparation Kit v2, Low-Throughput protocol, Illumina). Libraries were sequenced on Illumina HiSeq2500 machines. Data were analyzed using TopHat and Cufflinks. Results: Libraries generated ~19-39 million reads per library from the cells (95-99% mapping to the human genome) and ~14-39 million reads from the tissue samples (84-99% mapped). Raw reads were aligned to the genome with Tophat and gene expression values were processed using Cufflinks as Fragments Per Kilobase per Million mapped fragments (FPKM). FPKM values were subject to principle component analysis, which revealed that though caput, corpus and cauda cell samples respectively from UC05, UC06 and UC09 clustered together. RNA-seq data from the 3 biological replicas (UC05, UC06 and UC09) of caput, corpus and cauda were pooled for further analysis. Cufflinks was used to determine differentially expressed genes (DEGs) between caput, corpus and cauda cells, combined from the 3 donors. The gene expression profiles of corpus and cauda are remarkably similar and both differ from the caput to a similar degree. We identified ~40 genes differentially expressed between corpus and cauda and more than 1600 DEGs between caput and cauda. The DEGs for each comparison (caput and corpus/cauda) were analysed using a gene ontology process enrichment analysis (DAVID, Huang et al., NAR 2009;37:1-13, Huang et al., 2009 Nat Prot 4:44-57). Conclusions: Here we describe an in depth analysis of the gene expression repertoire of primary cultures of epithelial cells and intact tissues from each region of the adult human epididymis. These data will be valuable to decipher pathways of normal epididymis function and aspects of epididymis disease that cause male infertility. Overall design: RNA-seq was performed on libraries generated from caput, corpus and cauda-derived cultured cells (passage 2 or 3) from 3 donors and on caput, corpus and cauda tissue from 2 of the same donors. Donor age range: 22 - 36 years.

Publication Title

Expression profiles of human epididymis epithelial cells reveal the functional diversity of caput, corpus and cauda regions.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7458
Transcriptional Profiles of Human Epithelial Cells in Response to Heat
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

We hypothesized that broad-scale expression profiling would provide insight into the regulatory pathways that control gene expression in response to stress, and potentially identify novel heat-responsive genes. HEp2 cells were heated at 37 to 43 C for 60 min to gauge the heat shock response, using as a proxy inducible HSP-70 quantified by western blot analysis. Based on these results, microarray experiments were conducted at 37, 40, 41, 42 and 43C (3 replicates/temperature x 5 groups = 15 U95Aver2 GeneChips). Using linear modeling, we compared the sets of microarrays at 40, 41, 42 and 43C with the 37C baseline temperature and took the union of the genes exhibiting differential gene expression signal to create two sets of heat shock response genes, each set reflecting either increased or decreased RNA abundance. Leveraging human and mouse orthologous alignments, we used the two lists of co-expressed genes to predict transcription factor binding sites in silico, including those for heat shock factor 1 (HSF1) and heat shock factor 2 (HSF2) transcription factors. We discovered HSF1 and HSF2 binding sites in 15 genes not previously associated with the heat shock response. We conclude that microarray experiments coupled with upstream promoter analysis can be used to identify novel genes that respond to heat shock. Additional experiments are required to validate these putative heat shock proteins and facilitate a deeper understanding of the mechanisms involved during the stress response.

Publication Title

Transcriptional profiles of human epithelial cells in response to heat: computational evidence for novel heat shock proteins.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE148210
Microarray Analysis of ttg1 versus Wild-Type Developing Seeds
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

MYB-bHLH-TTG1 regulates Arabidopsis seed coat biosynthesis pathways directly and indirectly via multiple tiers of transcription factors

Publication Title

MYB-bHLH-TTG1 Regulates Arabidopsis Seed Coat Biosynthesis Pathways Directly and Indirectly via Multiple Tiers of Transcription Factors.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP067843
HNF1 regulates critical functions of the human epididymis epithelium. [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

HNF1a and HNF1ß recognize the same DNA consensus sequence in the genome, to which they bind as homodimers or heterodimers. Both factors share a high degree of homology their DNA binding and dimerization (N-terminus) regions but have a more divergent C-terminal transactivation domain. HNF1ß is essential for the generation of a functional male reproductive tract in mice and genital tract abnormalities are evident in humans with recessive mutations in HNF1ß. The functions of HNF1a and HNF1ß have been studied in epithelia from other several tissues (liver, kidney, intestine, and pancreas) but their role in the adult human epididymis epithelium (HEE) remains unexplored. We established that HNF1a/ß are expressed in caput HEE cells and are predicted to occupy cis-regulatory elements in these cells. To investigate the contribution of HNF1 in controlling gene expression in caput cells we performed siRNA-mediated depletion of HNF1a and HNF1ß together, followed by RNA-seq analysis. Three replicas of caput cells were transfected with the specific siRNAs or with a non-targeting control siRNA. RNA-seq after HNF1 depletion showed significant alterations in the expression of genes encoding ion channels and exchangers that are involved in controlling the luminal environment in the caput epididymis. Overall design: mRNA profiles from Caput HEE cells transfected with negative control (NC) or HNF1alpha and HNF1beta siRNA, in triplicate.

Publication Title

HNF1 regulates critical processes in the human epididymis epithelium.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE38010
Janus-Like Opposing Roles of CD47 in Autoimmune Brain Inflammation in Human and Mice
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene transcripts and proteins expressed during disease pathogenesis identify targets for therapy. We performed microarray analysis of histologically characterized multiple sclerosis (MS) brain lesions in comparison with control brain samples to identify differentially expressed molecules. We identified CD47 as a target of interest and studied its biology in MS and EAE.

Publication Title

Janus-like opposing roles of CD47 in autoimmune brain inflammation in humans and mice.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE7267
Belgrade +/b and b/b Duodenum and Jejunum
  • organism-icon Rattus norvegicus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Three groups of male +b and bb rats were obtained (ages between 6 and 14 months) and intestinal scrapes were taken. Tissues was combined from 3 rats per group and processed for gene chip analysis.

Publication Title

Induction of arachidonate 12-lipoxygenase (Alox15) in intestine of iron-deficient rats correlates with the production of biologically active lipid mediators.

Sample Metadata Fields

No sample metadata fields

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