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accession-icon SRP140795
Using RNA sequencing to examine age-dependent skeletal muscle transcriptome response to bed rest-induced atrophy, and age independent disuse-induced insulin resistance
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Short-term bed rest is used to simulate muscle disuse in humans. In our previous reports, we found that 5d of bed rest induced a ~4% loss of skeletal muscle mass in OLD (60-79 y) but not YOUNG (18-28 y) subjects. Identifying muscle transcriptional events in response to bed rest and age-related differences will help identify therapeutic targets to offset muscle loss in vulnerable older adult populations. Skeletal muscle dysregulation during bed rest in the old may be driven by alterations in molecules related to fibrosis, inflammation, and cell adhesion. This information may aide in the development of mechanistic-based therapies to combat muscle atrophy during short-term disuse. Short-term muscle disuse is also characterized by skeletal muscle insulin resistance, though this response is divergent across subjects. The mechanisms regulating inactivity-induced insulin resistance between populations that are more or less susceptible to disuse-induced insulin resistance are not known, and delineated by age. High Susceptibility participants were uniquely characterized with muscle gene responses described by a decrease in pathways responsible for lipid uptake and oxidation, decreased capacity for triglyceride export (APOB), increased lipogenesis (i.e., PFKFB3, FASN), and increased amino acid export (SLC43A1). Overall design: RNA was isolated and sequenced from muscle biopsies obtained from the vastus lateralis of YOUNG (N=9) and OLD (N=18) men and women before and after five days of bed rest. Sequencing libraries (18 pM) were chemically denatured and applied to an Illumina TruSeq v3 single read flowcell using an Illumina cBot. Hybridized molecules were clonally amplified and annealed to sequencing primers with reagents from an Illumina TruSeq SR Cluster Kit v3-cBot-HS (GD-401-3001). Following transfer of the flowcell to an Illumina HiSeq 2500 instrument (HCS v2.0.12 and RTA v1.17.21.3), a 50 cycle single read sequence run was performed using TruSeq SBS v3 sequencing reagents (FC-401-3002). The design formula was constructed by following the section on group-specific condition effects, individuals nested within groups in the DESeq2 vignette.   The design included age + age:nested + age:time to test for differences in bed rest in old subjects, young subjects and the interaction, in this case if bed rest effects are different between the two age groups (where age is young or old, nested is patient number nested by age and time is pre- or post-bed rest). A similar design was used to determine susceptibility to disuse-induced insulin resistance, where “susceptibility” took the place of “age”.

Publication Title

Disuse-induced insulin resistance susceptibility coincides with a dysregulated skeletal muscle metabolic transcriptome.

Sample Metadata Fields

Sex, Specimen part, Subject, Time

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accession-icon GSE1675
SHR and WKY rat adrenal glands
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

We measured gene expression in the adrenal glands of the Spontaneously Hypertensive Rat (SHR) and Wistar-Kyoto rat (WKY) using Affymetrix RG-U34A GeneChips. All rats were aged-matched at 4-weeks. The rats were obtained from the colonies at the Univeristy of California San Diego, La Jolla, CA.

Publication Title

Common genetic mechanisms of blood pressure elevation in two independent rodent models of human essential hypertension.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE1674
BPH and BPL mouse strain adrenal glands
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

We performed Affymetrix MG-U74Av2 GeneChip experiements on mRNA from the adrenal glands of the BPH hypertensive and BPL hypotensive mouse strains. All mice were aged-matched at 5 weeks. We obtained the mice from Jackson Laboratories, Bar Harbor, ME.

Publication Title

Neuroendocrine transcriptome in genetic hypertension: multiple changes in diverse adrenal physiological systems.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15553
Enhanced differentiation of hESCs into multipotential mesodermal stem cells by inhibition of TGF-b signaling by using SB
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Directing differentiation of human embryonic stem cells (hESC) into specific cell types using an easy and reproducible protocol is a perquisite for the clinical use of hESC in regenerative medicine protocols. Here, we report the generation of mesodermal cells with differentiation potential to myocytes, osteoblasts, chondrocytes and adipocytes. We demonstrate that during hESC differentiation as embryoid bodies (EB), inhibition of TGF-b/Activin/Nodal signaling using SB-431542 (SB) markedly up-regulated paraxial mesodermal markers (TBX6, TBX5), early myogenic transcriptional factors (Myf5, Pax7) as well as myocyte committed markers (NCAM, CD34, Desmin, MHC (fast), alpha-smooth muscle actin, Nkx2.5, cTNT). Establishing EB outgrowth cultures (SB-OG) in the presence of SB (1 uM) led to further enrichment of cells expressing markers for myocyte progenitor cell: CD34+ (33%), NCAM+ (CD56) (73%), PAX7 (25%) and mature myocyte proteins (MYOD1, tropomyocin, fast MHC an

Publication Title

Enhanced differentiation of human embryonic stem cells to mesenchymal progenitors by inhibition of TGF-beta/activin/nodal signaling using SB-431542.

Sample Metadata Fields

Cell line

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accession-icon GSE18332
Gene expression from chromogranin A knockout mice vs. wild-type mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2), Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Global metabolic consequences of the chromogranin A-null model of hypertension: transcriptomic detection, pathway identification, and experimental verification.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE18305
Liver gene expression from chromogranin A knockout mice (Mahapatra et al. 2005) vs. wild-type mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

The objective of the experiment is to determine the genes differentially expressed in the liver of the chromogranin A knockout mouse (Mahapatra et al., 2005).

Publication Title

Global metabolic consequences of the chromogranin A-null model of hypertension: transcriptomic detection, pathway identification, and experimental verification.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE18304
Adrenal gland gene expression from chromogranin A knockout mice (Mahapatra et al. 2005) vs. wild-type mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The objective of the experiment is to determine the genes differentially expressed in the adrenal gland of the chromogranin A knockout mouse (Mahapatra et al., 2005).

Publication Title

Global metabolic consequences of the chromogranin A-null model of hypertension: transcriptomic detection, pathway identification, and experimental verification.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP059057
Transcriptome analysis of CD4+ T cells reveals imprint of BACH2 and IFN? regulation
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We used RNA sequencing to profile over 70 transcriptomes of CD4+ T cells, a cell type crucial for Coeliac Disease CD pathogenesis, in both stimulated and resting samples from individuals with CD and unaffected controls The data gave us the opportunity to (i) compare gene expression between cases and controls; (ii) specifically assess whether genes that have been genetically associated with the disease were being DE; (iii) and also look for known and novel aspects of pathogenesis in the transcriptome of this specific cellular compartment. Overall design: RNA sequencing was performed on mRNA extracted from the CD4+ T cells of 15 Coeliac patients and 11 Controls that had been stimulated with anti-CD3/anti-CD28, PMA and left unstimulated. In total we sequenced 74 transcriptome samples using 50bp reads on an Illumina HiSeqâ„¢ 2000.

Publication Title

Transcriptome Analysis of CD4+ T Cells in Coeliac Disease Reveals Imprint of BACH2 and IFNγ Regulation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17032
Expression data from human fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cancer cells interact with surrounding stromal fibroblasts during tumorigenesis, but the complex molecular rules that govern these interactions remain poorly understood, thus hindering the development of therapeutic strategies to target cancer stroma. We have taken a mathematical approach to begin defining these rules by performing large-scale quantitative analysis of fibroblast effects on cancer cell proliferation across more than four hundred heterotypic cell line pairings. Systems-level modeling of this complex dataset using singular value decomposition revealed that normal tissue fibroblasts variably express at least two functionally distinct activities, one which reflects transcriptional programs associated with activated mesenchyme, that act either coordinately or at cross-purposes to modulate cancer cell proliferation. To gain insight into the molecular identity of these fibroblast activities, we isolated RNA from 36 human skin and lung fibroblast cell line monocultures from Coriell Repositories or ATCC and performed microarray-based gene expression profiling using Affymetrix gene chips.

Publication Title

Systems-level modeling of cancer-fibroblast interaction.

Sample Metadata Fields

Sex, Age, Race

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accession-icon GSE146958
Peripheral Nerve Single-Cell Analysis Identifies Mesenchymal Ligands that Promote Axonal Growth
  • organism-icon Rattus norvegicus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Peripheral Nerve Single-Cell Analysis Identifies Mesenchymal Ligands that Promote Axonal Growth.

Sample Metadata Fields

Sex, Specimen part, Treatment

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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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