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accession-icon GSE39941
Genome wide transcriptional profiling of HIV positive and negative children with active tuberculosis, latent TB infection and other diseases
  • organism-icon Homo sapiens
  • sample-icon 491 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Diagnosis of childhood tuberculosis and host RNA expression in Africa.

Sample Metadata Fields

Disease

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accession-icon GSE39940
Genome wide transcriptional profiling of HIV positive and negative children with active tuberculosis, latent TB infection and other diseases from South Africa and Malawi
  • organism-icon Homo sapiens
  • sample-icon 334 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The study aimed to define transcriptional signatures for detection of active TB (TB) compared to latent TB infection (LTBI) as well as to other diseases (OD) with similar clinical phenotypes in patients with and without HIV in two African paediatric populations.

Publication Title

Diagnosis of childhood tuberculosis and host RNA expression in Africa.

Sample Metadata Fields

Disease

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accession-icon GSE39939
Genome wide transcriptional profiling of HIV positive and negative children with active tuberculosis, latent TB infection and other diseases from Kenya
  • organism-icon Homo sapiens
  • sample-icon 157 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The study aimed to define transcriptional signatures for detection of active TB (TB) compared to latent TB infection (LTBI) as well as to other diseases (OD) with similar clinical phenotypes in patients with and without HIV in a paediatric cohort from Kenya

Publication Title

Diagnosis of childhood tuberculosis and host RNA expression in Africa.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE80279
Expression data from iPS cell derived hepatocyte-like cells sorted with antibody against cell surface protein SLC10A1
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Most differentiation protocols for generation of hepatocyte-like cells from iPS cells generate cells with heterogenous expression of hepatic markers, which confounds results from liver disease models involving complex traits and subtle phenotypes

Publication Title

Mapping the Cell-Surface N-Glycoproteome of Human Hepatocytes Reveals Markers for Selecting a Homogeneous Population of iPSC-Derived Hepatocytes.

Sample Metadata Fields

Specimen part

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accession-icon SRP198444
Transcriptional control of subtype switching ensures adaptation and growth of pancreatic cancer
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: The goal of this study is to determine whether ectopic expression of the GLI2 transcription factor in the human pancreatic cancer cell line, YAPC is sufficient to cause gene expression changes associated with a EMT switch. Methods: RNA was isolated from YAPC cells engineered to express a doxycycline inducible cassette for ectopic expression of GLI2 following treatment with 1ug/ml of Dox for 6 days. Control YAPC cells expressing an "empty vector" dox inducible cassette were similarly treated for 6 days with 1ug/u Dox and RNA was collected. Three biologically destinct replicates were submitted for library preparation and RNA-sequencing on an Illumina hiseq 2000. The sequence reads that passed quality filters were analyzed at the transcript level using TopHat followed by Cufflinks. qRT–PCR validation was performed using SYBR Green assays Results: RNA-seq data confirmed stable over-expression of GLI2 in the YAPC-rtta-GLI2 cells and not in the EV control cells treated with Dox. Target genes of interest were validated by qRT–PCR. RNA-seq data had a linear relationship with qRT–PCR for all target genes tested. Gene set enrichment analysis of differentially expressed genes showed enrichment of EMT associated pathways which was further validated using functional assays. In addition a statistically significant alteration in SPP1 transcript was discovered in GLI2 overexpressing cells which formed the basis of ongoing experiments in the study. Conclusions: Our data support a role for GLI2 in regulation of genes associated with basal-like subtype switching including SPP1 Overall design: mRNA profiles from human pancreatic cancer cell lines YAPC-rtta-GLI2 and YAPC-rtta-EV treatment with doxycyline for 6 days were compared, in triplicate.

Publication Title

Transcriptional control of subtype switching ensures adaptation and growth of pancreatic cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE88988
Expression data from Arabidopsis seedling
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.0 ST Array (aragene10st)

Description

For establishing the photosynthetic apparatus plant cells must orchestrate the expression of genes encoded in both nucleus and chloroplast. Therefore a crosstalk between the two compartments is necessary.

Publication Title

Light and Plastid Signals Regulate Different Sets of Genes in the Albino Mutant Pap7-1.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE13760
Gene expression profiling in arterial tissue from type 2 diabetic patients
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Gene expression profiling in arterial tissue from type 2 diabetic patients

Publication Title

Fibulin-1 is a marker for arterial extracellular matrix alterations in type 2 diabetes.

Sample Metadata Fields

No sample metadata fields

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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)

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Developed by the Childhood Cancer Data Lab

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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.

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