refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 587 results
Sort by

Filters

Technology

Platform

accession-icon SRP173668
Network Modeling of Liver Metabolism to Predict Plasma Metabolite Changes During Short-Term Fasting in the Laboratory Rat: Liver Transcriptome Changes in Study 3
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

Purpose: The purpose of this study is to measure the changes in liver transcriptome in response to short-term fasting between 7 and 13 h where the rats were dosed with 2 ml/kg of saline vehicle at 0 h Methods: Total RNA was isolated from the liver, using TRIzol Reagent (Thermo Fisher Scientific, Waltham, MA) and the direct-zol RNA Mini Prep kit (Zymo Research, Irvine, CA). The isolated RNA samples were then submitted to the Vanderbilt University Medical Center VANTAGE Core (Nashville, TN) for RNA quality determination and sequencing. Total RNA quality was assessed using a 2100 Bioanalyzer (Agilent, Santa Clara, CA). At least 200 ng of DNase-treated total RNA with high RNA integrity was used to generate poly-A-enriched mRNA libraries, using KAPA Stranded mRNA sample kits with indexed adaptors (Roche, Indianapolis, IN). Library quality was assessed using the 2100 Bioanalyzer (Agilent), and libraries were quantitated using KAPA library Quantification kits (Roche). Pooled libraries were subjected to 75-bp paired-end sequencing according to the manufacturer's protocol (Illumina HiSeq3000, San Diego, CA). Results: No genes were were found to be differentially expressed with a false discovery rate less than 0.1 Conclusions: There were no significant changes in liver gene expression between 7 and 13 h of fasting Overall design: Liver mRNA profiles of 7- and 13-h fasted Sprague-Dawley rats were generated by RNA-seq.

Publication Title

Network Modeling of Liver Metabolism to Predict Plasma Metabolite Changes During Short-Term Fasting in the Laboratory Rat.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon SRP173600
Network Modeling of Liver Metabolism to Predict Plasma Metabolite Changes During Short-Term Fasting in the Laboratory Rat: Liver Transcriptome Changes in Study 1
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

Purpose: The purpose of this study is to measure the changes in liver transcriptome in response to short-term fasting between 5 and 10 h where the rats were dosed with 6 ml/kg of polyethylene glycol vehicle at 0 h Methods: Total RNA was isolated from the liver, using TRIzol Reagent (Thermo Fisher Scientific, Waltham, MA) and the direct-zol RNA Mini Prep kit (Zymo Research, Irvine, CA). The isolated RNA samples were then submitted to the Vanderbilt University Medical Center VANTAGE Core (Nashville, TN) for RNA quality determination and sequencing. Total RNA quality was assessed using a 2100 Bioanalyzer (Agilent, Santa Clara, CA). At least 200 ng of DNase-treated total RNA with high RNA integrity was used to generate poly-A-enriched mRNA libraries, using KAPA Stranded mRNA sample kits with indexed adaptors (Roche, Indianapolis, IN). Library quality was assessed using the 2100 Bioanalyzer (Agilent), and libraries were quantitated using KAPA library Quantification kits (Roche). Pooled libraries were subjected to 75-bp single-end sequencing according to the manufacturer's protocol (Illumina HiSeq3000, San Diego, CA). Results: No genes were were found to be differentially expressed with a false discovery rate less than 0.1 Conclusions: There were no significant changes in liver gene expression between 5 and 10 h of fasting Overall design: Liver mRNA profiles of 5- and 10-h fasted Sprague-Dawley rats were generated by RNA-seq.

Publication Title

Network Modeling of Liver Metabolism to Predict Plasma Metabolite Changes During Short-Term Fasting in the Laboratory Rat.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE22137
Expression profiles of the hippocampus of Rsk2-KO mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

CoffinLowry Syndrome (CLS) is a syndromic form of mental retardation caused by loss of function mutations in the X-linked RPS6KA3 gene, which encodes Rsk2, a serine/threonine kinase involved in spatial memory. We analyzed hippocampal gene expression profiles in Rsk2-KO mice to identify changes in molecular pathways.

Publication Title

Transcriptome profile reveals AMPA receptor dysfunction in the hippocampus of the Rsk2-knockout mice, an animal model of Coffin-Lowry syndrome.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE115194
Gene expression in Dmxl2 knockout and wild type gonads at birth in mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Testicular and ovarian gene expression changes with loss of DMXL2

Publication Title

Dual role of DMXL2 in olfactory information transmission and the first wave of spermatogenesis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE59666
Temporal Endogenous Gene Expression Profiles in Response to Lipid-Mediated Transfection
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The current understanding of the molecular factors underlying LF2000-mediated transfection is largely unknown. Cationic LF2000 gene delivery system was used to transfer GFP transgene to HEK293T cells. FACS separation of transfected (GFP positive), untransfected (GFP negative), and untreated cells enabled gene expression profiles to be obtained using Affymetrix HG-U133A 2.0 microarrays for each cell population. Gene profiles were differentially compared for each population combination.

Publication Title

Temporal endogenous gene expression profiles in response to lipid-mediated transfection.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE59665
Temporal Endogenous Gene Expression Profiles in Response to Polymer-Mediated Transfection and Profile Comparison to Lipid-Mediated Transfection
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The current understanding of the molecular factors underlying polyethylenimine(PEI)-mediated transfection is largely unknown. Cationic PEI was used to transfer GFP transgene to HEK293T cells. FACS separation of transfected (GFP positive), untransfected (GFP negative), and untreated cells enabled gene expression profiles to be obtained using Affymetrix HG-U133A 2.0 microarrays for each cell population. Gene profiles were differentially compared for each population combination.

Publication Title

Temporal endogenous gene expression profiles in response to polymer-mediated transfection and profile comparison to lipid-mediated transfection.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE17182
Gene expression profiling of tumor cell lines with constitutively active STAT3
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina mouse-6 v1.1 expression beadchip

Description

The transcription factor STAT3 is constitutively activated in tumors of different origin but the molecular bases for STAT3 addiction of tumor cells have not yet been clearly identified. We generated knock/in mice carrying the constitutively active Stat3 allele, Stat3C, and showed that Stat3C could enhance Neu oncogenic power, triggering the production of earlier onset, more invasive mammary tumors. Tumor-derived cell lines displayed higher migration and invasion and disrupted distribution of cell-cell junction markers. The tensin family member Cten (C-Terminal Tensin-like), known to mediate EGF-induced migration and highly expressed in inflammatory breast cancer, was up-regulated in both Neu;Stat3C cells and tumors. Both Cten expression and enhanced migration were strictly dependent on Stat3, and Cten silencing normalized cell migration and rescued cell-cell contact defects. Importantly, the pro-inflammatory cytokine IL-6 could mediate Cten induction in MCF10 cells, in an exquisitely Stat3-dependent way. This model allowed us to shed some light on the oncogenic role of Stat3 in the breast, suggesting moreover a mechanism through which inflammatory signals can cooperate with EGF receptors in inflammatory breast cancer.

Publication Title

Constitutively active Stat3 enhances neu-mediated migration and metastasis in mammary tumors via upregulation of Cten.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE20615
Intracellular Signaling Pathways in Nonviral Gene Delivery: Microarray Analysis of Gene Expression Profiles in Transfected Cells
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of gene expression changes due to nonviral gene delivery of DNA lipoplexes versus control in human HEK293T cells.

Publication Title

Microarray analysis of gene expression profiles in cells transfected with nonviral vectors.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE40523
Comparing gene expression between PICs and satellite cells from 1 week old muscle
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The satellite cell is considered the major tissue-resident stem cell underlying muscle regeneration, however, multiple non-satellite cell myogenic progenitors have been identified. PW1/Peg3 is expressed in satellite cells as well as a subset of interstitial cells with myogenic potential termed PICs (PW1+ Interstitial Cells). PICs differ from satellite cells by their anatomical location (satellite cells are sublaminal and PICs are interstitial), they do not express any myogenic marker and arise from a Pax3-independent lineage. Upon isolation from juvenile muscle (1 to 3 weeks old), PICs are capable to form both skeletal and smooth muscle suggesting they constitute a more plastic population compared to satellite cells. We used microarrays to gain insight into the relantionship between PICs and satellite cells.

Publication Title

Defining skeletal muscle resident progenitors and their cell fate potentials.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE51034
RSK2 is a modulator of craniofacial development
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The RSK2 gene is responsible for Coffin-Lowry syndrome, an X-linked monogenic disease associating severe learning deficit andassociated to typical facial and digital abnormalities and skeletal changes. Craniofacial and dental anomalies encountered in this rare disease have been poorly characterized.

Publication Title

RSK2 is a modulator of craniofacial development.

Sample Metadata Fields

No sample metadata fields

View Samples
...

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact