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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 SRP134976
RNA-seq of bone marrow derived macrophages stimulated with monophosphoryl lipid A (MPLA)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

We found that MPLA reprograms macrophages in a way that supports a persistent monocyte/macrophage chemokine secretion profile reflected in macrophage mRNA. Additionally, this RNA-seq data revealed that certain genes (e.g. phagocytosis-related) persist much longer after MPLA than others (e.g. pro-inflammatory cytokines). Overall design: Bone marrow derived macrophages were harvested for RNA after 4hrs of monophosphoryl lipid A (MPLA) priming, 24hrs of MPLA priming, and 3 days following the end of priming

Publication Title

The TLR4 Agonist Monophosphoryl Lipid A Drives Broad Resistance to Infection via Dynamic Reprogramming of Macrophage Metabolism.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE14678
Expression Profile of Skeletal Muscle from Young and Aged C57B1/6 Mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Our laboratory wanted to define the transcription profile of aged skeletal muscle. For this reason, we performed a triplicate microarray study on young (3 weeks) and aged (24 months) gatrocnemius muscle from wild-type C57B16 Mice

Publication Title

Transcriptional profiling of skeletal muscle reveals factors that are necessary to maintain satellite cell integrity during ageing.

Sample Metadata Fields

Sex

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accession-icon GSE60162
Microrray expression data of Osteoarthritis synovial fibroblasts (OASF) transfected with TBX5
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

TBX5 is hypomethylated in Rheumatoid Arthritis synovial fibroblasts (RASF). Hypomethylation increased the TBX5 expression in RASF.

Publication Title

Epigenome analysis reveals TBX5 as a novel transcription factor involved in the activation of rheumatoid arthritis synovial fibroblasts.

Sample Metadata Fields

Specimen part

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accession-icon GSE7757
Robustness of gene expression signatures in leukemia: comparison of three distinct total RNA preparation procedures.
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray gene expression (MAGE) signatures allow insights into the transcriptional processes of leukemias and may evolve as a molecular diagnostic test. Introduction of MAGE into clinical practice of leukemia diagnosis will require comprehensive assessment of variation due to the methodologies.

Publication Title

New data on robustness of gene expression signatures in leukemia: comparison of three distinct total RNA preparation procedures.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE29326
Gene expression profiling of pediatric myelodysplastic syndrome (MDS) characterizes disease subtype and time to progression into acute myeloid leukemia (AML)
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Identification of relevant subgroups in childhood MDS patients by gene expression analysis and gene involve in progression into AML

Publication Title

Gene expression signatures of pediatric myelodysplastic syndromes are associated with risk of evolution into acute myeloid leukemia.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE4737
HCaRG vs NEO
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Summary:

Publication Title

HCaRG increases renal cell migration by a TGF-alpha autocrine loop mechanism.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE23849
The ERAD inhibitor Eeyarestatin I is a bifunctional compound with an ER localizing domain and a p97/VCP inhibitory group
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Protein homeostasis in the endoplasmic reticulum (ER) has recently emerged as a therapeutic target for cancer treatment. Disruption of ER homeostasis results in ER stress, which is a major cause of cell death for cells exposed to the proteasome inhibitor Bortezomib, an anti-cancer drug approved for treatment of multiple myeloma and Mantle cell lymphoma. We recently reported that the ERAD inhibitor Eeyarestatin I (EerI) also disturbs ER homeostasis and has anti-cancer activities resembling that of Bortezomib.

Publication Title

The ERAD inhibitor Eeyarestatin I is a bifunctional compound with a membrane-binding domain and a p97/VCP inhibitory group.

Sample Metadata Fields

Cell line

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accession-icon GSE2555
HCaRG-9 vs NEO-1
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Human Genome U133A Array (hgu133a)

Description

HEK293 cells were transfected with control plasmid (pcDNAI/Neo;Invitrogen) or with the plasmid encoding HCaRG. Stable transfectants were synchronized and grown in the presence of 10% FBS for 48 h. Total RNAs were purified with the mini RNeasy kit (Qiagen).

Publication Title

HCaRG increases renal cell migration by a TGF-alpha autocrine loop mechanism.

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)

fund-icon Fund the CCDL

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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