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accession-icon GSE28422
Effects of resistance exercise and resistance training on the skeletal muscle transcriptome in young and old adults
  • organism-icon Homo sapiens
  • sample-icon 109 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Global microarray (HG U133 Plus 2.0) was used to investigate the effects of resistance exercise and resistance training on the skeletal muscle transcriptome profile of 28 young and old adults. Vastus lateralis muscle biopsies were obtained pre and 4hrs post resistance exercise in the beginning (untrained state) and at the end (trained state) of a 12 wk progressive resistance training program.

Publication Title

Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults.

Sample Metadata Fields

Sex, Specimen part, Time

View Samples
accession-icon GSE28392
Effects of resistance exercise on the transcriptome in MHC I and MHC IIa muscle fibers of young and old women
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Global microarray (HG U133 Plus 2.0) was used for the first time to investigate the effects of resistance exercise on the transcriptome in slow-twitch myosin heavy chain (MHC) I and fast-twitch MHC IIa muscle fibers of young and old women. Vastus lateralis muscle biopsies were obtained pre and 4hrs post resistance exercise in the beginning (untrained state) and at the end (trained state) of a 12 wk progressive resistance training program.

Publication Title

Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults.

Sample Metadata Fields

Sex, Specimen part, Subject, Time

View Samples
accession-icon GSE25941
Effects of age on the skeletal muscle transcriptome
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Global microarray (HG U133 Plus 2.0) was used to investigate the basal level skeletal muscle transcriptome profile of young and old adults. One vastus lateralis muscle biopsy was obtained in the basal state from 36 different subjects.

Publication Title

Transcriptome signature of resistance exercise adaptations: mixed muscle and fiber type specific profiles in young and old adults.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE8700
Expression data from epididymal fat tissues of diet induced obese rats
  • organism-icon Rattus norvegicus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Analysis of gene expression profiles of epididymal fat from DIO rats

Publication Title

Assessment of diet-induced obese rats as an obesity model by comparative functional genomics.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE72157
Expression data from pooled biological replicates (n=6) from MEF2D knockdown in neonatal rat ventricular myocytes (NRVMs)
  • organism-icon Rattus norvegicus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Differentiation and maintenance of cardiac muscle is a complex biological process. MEF2D appears to play an important role in the regulation of cardiomyocyte homeostasis.

Publication Title

MEF2D deficiency in neonatal cardiomyocytes triggers cell cycle re-entry and programmed cell death in vitro.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE2303
Rat liver response to Clofibrate, DEHP or VPA
  • organism-icon Rattus norvegicus
  • sample-icon 93 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

The project had 2 goals:

Publication Title

Pooling samples within microarray studies: a comparative analysis of rat liver transcription response to prototypical toxicants.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE63798
Expression data from individual MEF2A isoform knockdown in C2C12 myotubes
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Differentiation of muscle tissue is regulated by a complex network of transcription factors. The MEF2 family of transcription factors are important players in muscle development and differentiation.

Publication Title

MEF2 transcription factors regulate distinct gene programs in mammalian skeletal muscle differentiation.

Sample Metadata Fields

Cell line

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accession-icon GSE41871
Dysregulated gene expression in Mef2a knockout mice subjected to cardiotoxin-induced muscle injury
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We identified genes expressed in mouse skeletal muscle, during the process of muscle regeneration after injury, which are dysregulated in the absence of Mef2a expression. MEF2A is a member of the evolutionarily conserved MEF2 transcription factor family which has known roles in cardiac muscle development and function, but is not well studied in skeletal muscle. We performed a comparison of gene expression profiles in wild type and MEF2A knockout tibialis anterior muscle, seven days post-injury with cardiotoxin. The results indicated that a variety of genes expressed during muscle regeneration, predominantly microRNAs in the Gtl2-Dio3 locus, are dysregulated by the loss of MEF2A expression.

Publication Title

MEF2A regulates the Gtl2-Dio3 microRNA mega-cluster to modulate WNT signaling in skeletal muscle regeneration.

Sample Metadata Fields

Specimen part

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accession-icon SRP037533
Transcriptional reprogramming of engineered cellobiose-utilizing Saccharomyces cerevisiae in response to cellobiose revealed by RNA-Seq
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Saccharomyces cerevisiae cannot metabolize cellobiose in nature. Here, S. cerevisiae was engineered to achieve cellobiose utilization by introducing both a cellodextrin transporter gene (cdt-1) and an intracellular ß-glucosidase gene (gh1-1) from Neurospora crassa. We sequenced mRNA from anaerobic exponential cultures of engineered S. cerevisiae grown on cellobiose or glucose as a single carbon source in biological triplicate. Differences in gene expression between cellobiose and glucose metabolism revealed by RNA deep sequencing indicated that cellobiose metabolism induced mitochondrial activation and reduced amino acid biosynthesis under fermentation conditions. Overall design: mRNA levels in cellobiose-grown and glucose-grown cells of engineered cellobiose-utilizing Saccharomyces cerevisiae were examined by deep sequencing, in triplicate, using Illumina Genome Analyzer-II. We sequenced 3 samples from cellobiose-grown cells and 3 samples from glucose-grown cells and identified differential expressions in the cellobiose versus glucose fermentations by using mRNA levels of glucose-grown cells as a reference.

Publication Title

Leveraging transcription factors to speed cellobiose fermentation by Saccharomyces cerevisiae.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE72755
Toxicogenomics on mice liver of coumarins from Calophyllum brasiliense
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

A toxicogenomic analysis from liver of different pharmacological active coumarins (mammea A/BA+A/BB 3:1 and soulatrolide ) was performed on mice treated (20mg/kg/daily) for a whole week to evaluate if such compounds possess or could develop a hazardous profile on liver.

Publication Title

Toxicogenomic analysis of pharmacological active coumarins isolated from Calophyllum brasiliense.

Sample Metadata Fields

Sex, Specimen part, Treatment

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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