refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 758 results
Sort by

Filters

Technology

Platform

accession-icon GSE50011
Transcriptome analysis of HIV-infected peripheral blood monocytes
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Immunologic dysfunction, mediated via monocyte activity, has been implicated in the development of HIV-associated neurocognitive disorder (HAND). We hypothesized that transcriptome changes in peripheral blood monocytes relate to neurocognitive functioning in HIV+ individuals, and that such alterations could be useful as biomarkers of worsening HAND. METHODS: mRNA was isolated from the monocytes of 86 HIV+ adults and analyzed with the Illumina HT-12 v4 Expression BeadChip. Neurocognitive functioning, HAND diagnosis, and other clinical and virologic variables were determined.

Publication Title

Transcriptome analysis of HIV-infected peripheral blood monocytes: gene transcripts and networks associated with neurocognitive functioning.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage, Race

View Samples
accession-icon SRP119675
TREM2 Gene Dosage Increase Reprograms Microglia Responsivity and Ameliorates Pathological Phenotypes in Alzheimer's Disease Models
  • organism-icon Mus musculus
  • sample-icon 142 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

TREM2 BAC transgenic mice with elevated expression of human TREM2 in microglia under its endogenous regulation without overexpression of other TREM-like genes on the BAC were generated and crossed with 5xFAD mice, an mouse model of AD. Transcriptome and gene coexpression analyses were performed to obtain chronical view of TREM gene dosage dependent changes in the context of amyloid pathology. The results confer strong evidence that increased TREM2 alters brain transcriptome network response only in the context of a disease state and with an overall rescuing effect in 5xFAD mice. Overall design: Brain cortical tissues were dissected from WT, BAC-TREM2, 5xFAD and 5xFAD/BAC-TREM2 at 2, 4 and 7 months of age. RNA was extracted using Qiagen RNeasy kit. Libraries prepared using the Illumina TruSeq RNA Library Prep Kit v2 and sequenced on an Illumina HiSeq4000 sequencer using strand-specific, paired-end, 69-mer sequencing protocols to a minimum read depth of 30 million reads per sample. Reads were aligned to mouse genome mm10 using the STAR aligner with default settings. Read counts for individual genes were obtained using HTSeq.

Publication Title

Elevated TREM2 Gene Dosage Reprograms Microglia Responsivity and Ameliorates Pathological Phenotypes in Alzheimer's Disease Models.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

View Samples
accession-icon SRP053389
Transcriptome profiling in knock-in mouse models of Huntington''s disease [Cortex_mRNA]
  • organism-icon Mus musculus
  • sample-icon 136 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Huntington''s disease (HD) is an autosomal dominant neurodegenerative disorder that is characterized by motor, cognitive, and psychiatric alterations. The mutation responsible for this disease is an abnormally expanded and unstable CAG repeat within the coding region of the gene encoding huntingtin (Htt). Knock-in mouse models of HD with human exon 1 containing expanded CAG repeats inserted in the murine huntingtin gene (Hdh) provide a genetic reconstruction of the human causative mutation within the mouse model. The goal of this study is RNA expression profiling by RNA sequencing (RNA-seq) in 2, 6, and 10 month old knock-in mice with CAG lengths of 20, 80, 92, 111, 140, 175 along with littermate control wild-type animals Overall design: mRNA expression profiles were obtained via RNA-seq analysis performed on tissue samples from the cortex of 2, 6, and 10 month old knock-in mice with CAG lengths of 20, 80, 92, 111, 140, 175 along with littermate control wild-type animals.

Publication Title

Integrated genomics and proteomics define huntingtin CAG length-dependent networks in mice.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP070775
Transcriptome profiling in knock-in mouse models of Huntington''s disease (striatum_mRNA).
  • organism-icon Mus musculus
  • sample-icon 96 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Huntington''s disease (HD) is an autosomal dominant neurodegenerative disorder that is characterized by motor, cognitive, and psychiatric alterations. The mutation responsible for this disease is an abnormally expanded and unstable CAG repeat within the coding region of the gene encoding huntingtin (Htt). Knock-in mouse models of HD with human exon 1 containing expanded CAG repeats inserted in the murine huntingtin gene (Hdh) provide a genetic reconstruction of the human causative mutation within the mouse model. The goal of this study is RNA expression profiling by RNA sequencing (RNA-seq) in 6 and 10 month old knock-in mice with CAG lengths of 20, 50, 92, 140 along with littermate control wild-type animals Overall design: mRNA expression profiles were obtained via RNA-seq analysis performed on samples from the Corpus Striatum tissue of 6 and 10 month old knock-in mice with CAG lengths of 20, 50, 92, 140 along with littermate control wild-type animals.

Publication Title

Integrated genomics and proteomics define huntingtin CAG length-dependent networks in mice.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

View Samples
accession-icon SRP070769
Transcriptome profiling in knock-in mouse models of Huntington''s disease (cortex_mRNA).
  • organism-icon Mus musculus
  • sample-icon 87 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Huntington''s disease (HD) is an autosomal dominant neurodegenerative disorder that is characterized by motor, cognitive, and psychiatric alterations. The mutation responsible for this disease is an abnormally expanded and unstable CAG repeat within the coding region of the gene encoding huntingtin (Htt). Knock-in mouse models of HD with human exon 1 containing expanded CAG repeats inserted in the murine huntingtin gene (Hdh) provide a genetic reconstruction of the human causative mutation within the mouse model. The goal of this study is RNA expression profiling by RNA sequencing (RNA-seq) in 6 and 10 month old knock-in mice with CAG lengths of 20, 50, 92, 140 along with littermate control wild-type animals Overall design: mRNA expression profiles were obtained via RNA-seq analysis performed on samples from the Cerebral Cortex tissue of 6 and 10 month old knock-in mice with CAG lengths of 20, 50, 92, 140 along with littermate control wild-type animals.

Publication Title

Integrated genomics and proteomics define huntingtin CAG length-dependent networks in mice.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

View Samples
accession-icon SRP070770
Transcriptome profiling in knock-in mouse models of Huntington''s disease (liver_mRNA).
  • organism-icon Mus musculus
  • sample-icon 90 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Huntington''s disease (HD) is an autosomal dominant neurodegenerative disorder that is characterized by motor, cognitive, and psychiatric alterations. The mutation responsible for this disease is an abnormally expanded and unstable CAG repeat within the coding region of the gene encoding huntingtin (Htt). Knock-in mouse models of HD with human exon 1 containing expanded CAG repeats inserted in the murine huntingtin gene (Hdh) provide a genetic reconstruction of the human causative mutation within the mouse model. The goal of this study is RNA expression profiling by RNA sequencing (RNA-seq) in 6 and 10 month old knock-in mice with CAG lengths of 20, 50, 92, 140 along with littermate control wild-type animals Overall design: mRNA expression profiles were obtained via RNA-seq analysis performed on samples from the Liver tissue of 6 and 10 month old knock-in mice with CAG lengths of 20, 50, 92, 140 along with littermate control wild-type animals.

Publication Title

Integrated genomics and proteomics define huntingtin CAG length-dependent networks in mice.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

View Samples
accession-icon GSE76679
Motor cortex after C3 lesion
  • organism-icon Rattus norvegicus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Gene expression analysis of motor cortex after spinal C3 lesion

Publication Title

A Systems-Level Analysis of the Peripheral Nerve Intrinsic Axonal Growth Program.

Sample Metadata Fields

Sex, Specimen part, Time

View Samples
accession-icon GSE15296
Peripheral blood biomarker signatures for acute kidney transplant rejection
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In the present work, we have used whole genome expression profiling of peripheral blood samples from 51 patients with biopsy-proven acute kidney transplant rejection and 24 patients with excellent function and biopsy-proven normal transplant histology. The results demonstrate that there are 1738 probesets on the Affymetrix HG-U133 Plus 2.0 GeneChip representing 1472 unique genes which are differentially expressed in the peripheral blood during an acute kidney transplant rejection. By ranking these results we have identified minimal sets of 50 to 150 probesets with predictive classification accuracies for AR of greater than 90% established with several different prediction tools including DLDA and PAM. We have demonstrated that a subset of peripheral blood gene expression signatures can also diagnose four different subtypes of AR (Banff Borderline, IA, IB and IIA) and the top 100 ranked classifiers have greater than 89% predictive accuracy. Finally, we have demonstrated that there are gene signatures for early and late AR defined as less than or greater than one year post-transplant with greater than 86% predictive accuracies. We also confirmed that there are 439 time-independent gene classifiers for AR. Based on these results, we conclude that peripheral blood gene expression profiling can be used to diagnose AR at any time in the first 5 years post-transplant in the setting of acute kidney transplant dysfunction not caused by BK nephropathy, other infections, drug-induced nephrotoxicity or ureteral obstruction.

Publication Title

Molecular classifiers for acute kidney transplant rejection in peripheral blood by whole genome gene expression profiling.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE7253
Puberty and Diabetes in the Kidney
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Puberty unmasks or accelerates nephropathies, including the nephropathy of diabetes mellitus (DM). A number of cellular systems implicated in the kidney disease of DM interweave, forming an interdependent functional web. We performed focused microarray analysis to test the hypothesis that one or more genes in the transforming growth factor beta (TGF-) signaling system would be differentially regulated in male rats depending on the age of onset of DM.

Publication Title

Prepubertal onset of diabetes prevents expression of renal cortical connective tissue growth factor.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE69296
Active FOXO1 is a Key Determinant of Isoform-Specific Progesterone Receptor Transactivation and Senescence Programming
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Progesterone promotes differentiation coupled to proliferation and pro-survival in the breast, but inhibits estrogen-driven growth in the reproductive tract and ovaries. Herein, it is demonstrated, using progesterone receptor (PR) isoform-specific ovarian cancer model systems, that PR-A and PR-B promote distinct gene expression profiles that differ from PR-driven genes in breast cancer cells. In ovarian cancer models, PR-A primarily regulates genes independently of progestin, while PR-B is the dominant ligand-dependent isoform. Notably, FOXO1 and the PR/FOXO1 target-gene p21 (CDKN1A) are repressed by PR-A, but induced by PR-B. In the presence of progestin, PR-B, but not PR-A, robustly induced cellular senescence via FOXO1-dependent induction of p21 and p15 (CDKN2B). Chromatin immunoprecipitation (ChIP) assays performed on PR-isoform specific cells demonstrated that while each isoform is recruited to the same PRE-containing region of the p21 promoter in response to progestin, only PR-B elicits active chromatin marks. Overexpression of constitutively active FOXO1 in PR-A-expressing cells conferred robust ligand-dependent upregulation of the PR-B target genes GZMA, IGFBP1, and p21, and induced cellular senescence. In the presence of endogenous active FOXO1, PR-A was phosphorylated on Ser294 and transactivated PR-B at PR-B target genes; these events were blocked by the FOXO1 inhibitor (AS1842856). PR isoform-specific regulation of the FOXO1/p21 axis recapitulated in human primary ovarian tumor explants treated with progestin; loss of progestin sensitivity correlated with high AKT activity.

Publication Title

Active FOXO1 Is a Key Determinant of Isoform-Specific Progesterone Receptor Transactivation and Senescence Programming.

Sample Metadata Fields

Treatment, Time

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