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accession-icon GSE5086
Transcriptional profile of aging human muscle
  • organism-icon Homo sapiens
  • sample-icon 81 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We analyzed expression of 81 normal muscle samples from humans of varying ages, and have identified a molecular profile for aging consisting of 250 age-regulated genes. This molecular profile correlates not only with chronological age but also with a measure of physiological age. We compared the transcriptional profile of muscle aging to previous transcriptional profiles of aging in kidney and brain, and found a common signature for aging in these diverse human tissues. The common aging signature consists of six genetic pathways; four pathways increase expression with age (genes in the extracellular matrix, genes involved in cell growth, genes encoding factors involved in complement activation, and genes encoding components of the cytosolic ribosome), while two pathways decrease expression with age (genes involved in chloride transport and genes encoding subunits of the mitochondrial electron transport chain). We also compared transcriptional profiles of aging in human to those of the mouse and fly, and found that the electron transport chain pathway decreases expression with age in all three organisms, suggesting that this may be a public marker for aging across species.

Publication Title

Transcriptional profiling of aging in human muscle reveals a common aging signature.

Sample Metadata Fields

Sex

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accession-icon GSE51373
Gene expression data from high grade serous ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Resistance to platinum-based chemotherapy remains a major impediment in the treatment of serous epithelial ovarian cancer. The objective of this study was to use gene expression profiling to delineate major deregulated pathways and biomarkers associated with the development of intrinsic chemotherapy resistance upon exposure to standard first-line therapy for ovarian cancer. Methods: The study cohort comprised 28 patients divided into two groups based on their varying sensitivity to first-line chemotherapy using progression free survival (PFS) as a surrogate of response. All 28 patients had advanced stage, high-grade serous ovarian cancer, and were treated with the same standard platinum-based chemotherapy. Twelve patient tumors demonstrating relative resistance to platinum chemotherapy corresponding to shorter PFS (< eight months) were compared to sixteen tumors from platinum-sensitive patients (PFS > eighteen months). Whole transcriptome profiling was performed using a Affymetrix high-resolution microarray platform to permit global comparisons of gene expression profiles between tumors from the resistant group and the sensitive group. Results: Microarray data analysis revealed a set of 204 discriminating genes possessing expression levels, which could influence differential chemotherapy response between the two groups. Robust statistical testing was then performed which eliminated a dependence on the normalization algorithm employed, producing a restricted list of differentially regulated genes, and which found IGF1 to be the most strongly differentially expressed gene. Pathway analysis, based on the list of 204 genes, revealed enrichment in genes primarily involved in the IGF1/PI3K/NFB/ERK gene signalling networks. Conclusions: This study has identified pathway specific prognostic biomarkers possibly underlying a differential chemotherapy response in patients undergoing standard platinum-based treatment of serous epithelial ovarian cancer. Future studies to validate these markers are necessary to apply this knowledge to biomarker-based clinical trials.

Publication Title

Identification of the IGF1/PI3K/NF κB/ERK gene signalling networks associated with chemotherapy resistance and treatment response in high-grade serous epithelial ovarian cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE6055
Gene Expression Profiling Reveals Unique Pathways Associated with Differential Severity of Lyme Arthritis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

The murine model of Lyme disease provides a unique opportunity to study the localized host response to similar stimulus, B. burgdorferi, in the joints of mice destined to develop severe arthritis (C3H) or mild disease (C57BL/6). Pathways associated with the response to infection and the development of Lyme arthritis were identified by global gene expression patterns using oligonucleotide microarrays. A robust induction of IFN responsive genes was observed in severely arthritic C3H mice at one week of infection, which was absent from mildly arthritic C57BL/6 mice. In contrast, infected C57BL/6 mice displayed a novel expression profile characterized by genes involved in epidermal differentiation and wound repair, which were decreased in the joints of C3H mice. These expression patterns were associated with disease state rather than inherent differences between C3H and C57BL/6 mice, as C57BL/6-IL10-/- mice infected with B. burgdorferi develop more severe arthritis that C57BL/6 mice and displayed an early gene expression profile similar to C3H mice. Gene expression profiles at two and four weeks post infection revealed a common response of all strains that was likely to be important for the host defense to B. burgdorferi and mediated by NF-kB-dependent signaling. The gene expression profiles identified in this study add to the current understanding of the host response to B. burgdorferi and identify two novel pathways that may be involved in regulating the severity of Lyme arthritis.

Publication Title

Gene expression profiling reveals unique pathways associated with differential severity of lyme arthritis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP043339
Global Transcriptome Analysis and Enhancer Landscape of Human Primary T Follicular Helper and T Effector Lymphocytes (RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

T follicular helper (Tfh) cells are a subset of CD4+ T helper (Th) cells that migrate into germinal centers and promote B cell maturation into memory B and plasma cells. Tfh cells are necessary for promotion of protective humoral immunity following pathogen challenge, but when aberrantly regulated, drive pathogenic antibody formation in autoimmunity and undergo neoplastic transformation in angioimmunoblastic T-cell lymphoma and other primary cutaneous T-cell lymphomas. Limited information is available on the expression and regulation of genes in human Tfh cells. Using a fluorescence activated cell sorting-based strategy, we obtained primary Tfh and non-Tfh T effector (Teff) cells from tonsils and prepared genome-wide maps of active, intermediate, and poised enhancers determined by ChIP-seq, with parallel transcriptome analyses determined by RNA-seq. Tfh cell enhancers were enriched near genes highly expressed in lymphoid cells or involved in lymphoid cell function, with many mapping to sites previously associated with autoimmune disease in genome-wide association studies. A group of active enhancers unique to Tfh cells associated with differentially expressed genes was identified. Fragments from these regions directed expression in reporter gene assays. These data provide a significant resource for studies of T lymphocyte development and differentiation and normal and perturbed Tfh cell function. Overall design: Using a fluorescence activated cell sorting-based strategy, we obtained primary Tfh and non-Tfh T effector (Teff) cells from tonsils and prepared genome-wide maps of active, intermediate, and poised enhancers determined by ChIP-seq, with parallel transcriptome analyses determined by RNA-seq.

Publication Title

Global transcriptome analysis and enhancer landscape of human primary T follicular helper and T effector lymphocytes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE57025
Systems Biology Analysis of Tenofovir 1% Gel in a Phase I Rectal Microbicide Trial
  • organism-icon Homo sapiens
  • sample-icon 191 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

In MTN-007, a phase 1, randomized, double-blinded rectal microbicide trial, we used systems genomics/proteomics to determine the effect of tenofovir 1% gel, nonoxynol-9 2% gel, placebo gel or no treatment on rectal biopsies taken at baseline, after one application or after seven daily applications (15 subjects/arm). Experiments were repeated using primary vaginal epithelial cells from four healthy women.

Publication Title

Mucosal effects of tenofovir 1% gel.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE57026
Ex vivo effects of Tenofovir on four vaginal epithelial cell lines
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

In MTN-007, a phase 1, randomized, double-blinded rectal microbicide trial, we used systems genomics/proteomics to determine the effect of tenofovir 1% gel, nonoxynol-9 2% gel, placebo gel or no treatment on rectal biopsies taken at baseline, after one application or after seven daily applications (15 subjects/arm). Experiments were repeated using primary vaginal epithelial cells from four healthy women.

Publication Title

Mucosal effects of tenofovir 1% gel.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon SRP185583
Vasculature-associated fat macrophages readily adapt to inflammatory and metabolic challenges
  • organism-icon Mus musculus
  • sample-icon 152 Downloadable Samples
  • Technology Badge IconNextSeq 500, Illumina HiSeq 2500

Description

We show that the epididymal white adipose tissue harbors 4 subpopulations of macrophages (VAM1, VAM2, PreVAM and DPs), 2 subpopulations of Dendritic Cells (CD11B+CD103- and CD11B-CD103+) and monocytes. VAMs display a gene signature enriched in pathways related to anti-inflammatory/ detoxifying and repair processes. Our gene expression work shows no evidence of an M2 to a Classically Activated/M1 shift during diet-induced obesity (DIO). Gene expression of VAMs or DP macrophages cannot be defined as M1 or M1-like. Our data are more compatible with the category of “Metabolically-activated” macrophages (MMe) Overall design: Examination of RNA expression changes in different epididymal adipose tissue myeloid subpopulations in lean versus obese animals harboring metabolic syndrome

Publication Title

Vasculature-associated fat macrophages readily adapt to inflammatory and metabolic challenges.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE21231
Gene expression changes associated with resistance to intravenous corticosteroid therapy in children with severe ulcerative colitis
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Although corticosteroids remain a mainstay of therapy for UC, a meta-regression of cohort studies in acute severe ulcerative colitis (UC) showed that 29% of patients fail corticosteroid therapy and require escalation of medical management or colectomy.

Publication Title

Gene expression changes associated with resistance to intravenous corticosteroid therapy in children with severe ulcerative colitis.

Sample Metadata Fields

Specimen part

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accession-icon GSE16195
Expression profiling of joint tissue from C3H and interval specific congenic mouse lines post- B. burgdorferi infection
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expression profile of joint tissue from C3H and interval specific congenic mouse lines (ISCL) following infection with Borrelia burgdorferi

Publication Title

Interval-specific congenic lines reveal quantitative trait Loci with penetrant lyme arthritis phenotypes on chromosomes 5, 11, and 12.

Sample Metadata Fields

Specimen part

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accession-icon SRP125932
RNA-seq for U937 cells with or without 3 day differentiation with PMA and recovery
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconNextSeq 550

Description

Sequencing data related to our manuscript "Systematic identification of general and context-specific regulators of phagocytosis using magnetic genome-wide CRISPR screens" Overall design: Two groups of U937 cells were sequenced before and after PMA differentiation. One group carried Streptococcus pyogenes Cas9 and a safe-harbor control sgRNA, and the second group was a clonally expanded U937 line expressing GFP. Each group was separated into eight separate wells at d0, and half of the wells were treated with 50 nM PMA. At day 3, undifferentiated cells were split to prevent overcrowding, and differentiated cells were trypsinized and replated. Cells were allowed to recover for 2 additional days before cells were lysed for RNA harvest and sequencing.

Publication Title

Identification of phagocytosis regulators using magnetic genome-wide CRISPR screens.

Sample Metadata Fields

Cell line, Subject

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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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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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