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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

View Samples
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

View Samples
accession-icon SRP076519
Next Generation Sequencing of liver and subcutaneous fat tissues obtained from obese subjects
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Patients had low calorie diet weight reduction run in prior to the day of surgery. The human liver and subcutaneous fat tissue samples were obtained from 12 obese subjects undergoing bariatric surgery and then used for the mRNA expression analyses. Overall design: mRNA profiles of human liver and subcutaneous fat tissue samples were generated by RNA sequencing using Illumina HiSeq 2500.

Publication Title

Integrated Network Analysis Reveals an Association between Plasma Mannose Levels and Insulin Resistance.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon GSE18135
Gene Expression Profile of Androgen Modulated Genes in the Murine Fetal Developing Lung
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Accumulating evidences suggest that sex affects lung development. During the fetal period, male lung maturation is delayed compared with female and surfactant production appears earlier in female than in male fetal lungs.

Publication Title

Gene expression profile of androgen modulated genes in the murine fetal developing lung.

Sample Metadata Fields

Specimen part, Disease

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accession-icon SRP032456
A bioinformatics approach reveals novel mechanisms of the OVOL transcription factors in the regulation of epithelial-mesenchymal cell programming and cancer progression.
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We find significant evidence of the OVOL, AP1, STAT1, STAT3, and NFKB1 TFs having important roles in MET. We prioritize known gene/drug targets for follow-up in the clinic, and show that the AP1/MYC TF pair is a strong candidate for intervention. Overall design: Examination of the effects of OVOL1 and OVOL2 overexpression common to prostate cancer and breast cancer models.

Publication Title

A bioinformatics approach reveals novel interactions of the OVOL transcription factors in the regulation of epithelial - mesenchymal cell reprogramming and cancer progression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE7868
Expression data from LNCaP cell line
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Androgen receptor (AR) is a ligand-dependent transcription factor that plays a key role in the onset and progression of prostate cancer. Surprisingly little is known of AR binding sites and collaborating transcription factors in the human genome. Here we have identified the DNA sequence motifs that are significantly enriched within the authentic 90 AR target regions found on chromosomes 21 and 22 in human prostate cancer cells by combining chromatin immunoprecipitation for AR with chromosome-scale tiled oligonucleotide microarrays. By integrating the DNA sequence motif data with the gene expression profiles from human prostate cancers we identified the transcription factors that recognize each of these motifs. These factors form complexes with AR, bind to specific AR target regions and govern androgen-dependent transcription. Together with AR these collaborating transcription factors form a regulatory network that directs prostate cancer growth and survival and identify potential new opportunities for therapeutic intervention.

Publication Title

A hierarchical network of transcription factors governs androgen receptor-dependent prostate cancer growth.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE47570
High dietary protein decreases fat deposition induced by high-fat and high-sucrose diet in rats
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

High-protein diets are known to reduce adiposity in the context of high carbohydrate and Western diets. However, few studies have investigated the specific high-protein effect on lipogenesis induced by a high-sucrose (HS) diet or fat deposition induced by high-fat feeding. We aimed to determine the effects of high protein intake on the development of fat deposition and partitioning in response to high-fat and/or HS feeding. A total of thirty adult male Wistar rats were assigned to one of the six dietary regimens with low and high protein, sucrose and fat contents for 5 weeks. Body weight (BW) and food intake were measured weekly. Oral glucose tolerance tests and meal tolerance tests were performed after 4th and 5th weeks of the regimen, respectively. At the end of the study, the rats were killed 2 h after ingestion of a calibrated meal. Blood, tissues and organs were collected for analysis of circulating metabolites and hormones, body composition and mRNA expression in the liver and adipose tissues. No changes were observed in cumulative energy intake and BW gain after 5 weeks of dietary treatment. However, high-protein diets reduced by 20 % the adiposity gain induced by HS and high-sucrose high-fat (HS-HF) diets. Gene expression and transcriptomic analysis suggested that high protein intake reduced liver capacity for lipogenesis by reducing mRNA expressions of fatty acid synthase (fasn), acetyl-CoA carboxylase a and b (Acaca and Acacb) and sterol regulatory element binding transcription factor 1c (Srebf-1c). Moreover, ketogenesis, as indicated by plasma -hydroxybutyrate levels, was higher in HS-HF-fed mice that were also fed high protein levels. Taken together, these results suggest that high-protein diets may reduce adiposity by inhibiting lipogenesis and stimulating ketogenesis in the liver.

Publication Title

High dietary protein decreases fat deposition induced by high-fat and high-sucrose diet in rats.

Sample Metadata Fields

Sex, Specimen part

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accession-icon E-MEXP-502
Transcription profiling by array of Arabidopsis mutant for atx1
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Analysis of the gene expression profile of the atx1 mutant of Arabidopsis thaliana compared to the wild-type, using apices tissue of in in vitro plants and Affymetrix ATH1 chips.

Publication Title

ARABIDOPSIS TRITHORAX1 dynamically regulates FLOWERING LOCUS C activation via histone 3 lysine 4 trimethylation.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE16499
Heart Failure Associated Changes in Alternative Splicing of Sarcomere Genes
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Alternative mRNA splicing is an important mechanism for regulation of gene expression. Changes in gene expression contribute to the pathogenesis of heart failure. However, changes in mRNA splicing have not been systematically examined in heart disease. We hypothesized that mRNA splicing is changed in diseased hearts.

Publication Title

Heart failure-associated changes in RNA splicing of sarcomere genes.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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