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accession-icon SRP131124
Uncovering a Predictive Molecular Signature for the Onset of NASH-Related Fibrosis in a Translational NASH Mouse Model
  • organism-icon Mus musculus
  • sample-icon 65 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

SUMMARY: This article presents a predictive molecular signature that marks the early onset of fibrosis in a translational nonalcoholic steatohepatitis mouse model. Overlap of genes and processes with human nonalcoholic steatohepatitis and a list of top candidate biomarkers for early fibrosis are described. BACKGROUND & AIMS: The incidence of nonalcoholic steatohepatitis (NASH) is increasing. The pathophysiological mechanisms of NASH and the sequence of events leading to hepatic fibrosis are incompletely understood. The aim of this study was to gain insight into the dynamics of key molecular processes involved in NASH and to rank early markers for hepatic fibrosis. METHODS: A time-course study in low-density lipoprotein–receptor knockout. Leiden mice on a high-fat diet was performed to identify the temporal dynamics of key processes contributing to NASH and fibrosis. An integrative systems biology approach was used to elucidate candidate markers linked to the active fibrosis process by combining transcriptomics, dynamic proteomics, and histopathology. The translational value of these findings were confirmed using human NASH data sets. RESULTS: High-fat-diet feeding resulted in obesity, hyperlipidemia, insulin resistance, and NASH with fibrosis in a time-dependent manner. Temporal dynamics of key molecular processes involved in the development of NASH were identified, including lipid metabolism, inflammation, oxidative stress, and fibrosis. A data-integrative approach enabled identification of the active fibrotic process preceding histopathologic detection using a novel molecular fibrosis signature. Human studies were used to identify overlap of genes and processes and to perform a network biology-based prioritization to rank top candidate markers representing the early manifestation of fibrosis. CONCLUSIONS: An early predictive molecular signature was identified that marked the active profibrotic process before histopathologic fibrosis becomes manifest. Early detection of the onset of NASH and fibrosis enables identification of novel blood-based biomarkers to stratify patients at risk, development of new therapeutics, and help shorten (pre)clinical experimental time frames. Keywords: Systems Biology; Metabolic Syndrome; Liver Disease; Diagnosis. Overall design: In total 9 treatment groups: 5 Control groups (chow = standard diet; t=0, 6, 12, 18, 24 weeks), 4 Treatment groups (HFD = High Fat diet; 6, 12, 18, 24 weeks).

Publication Title

Uncovering a Predictive Molecular Signature for the Onset of NASH-Related Fibrosis in a Translational NASH Mouse Model.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE61711
Identification of molecular controls of Corticothalamic projection neurons differentiatiion
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Molecular mechanisms controlling specification and differentiation of distinct neuron subtypes in the cerebral cortex are not well understood. Corticothalamic projection neurons (CThPN) are a diverse set of neurons, critical for function of the neocortex, but little is known about the molecular mechansims controlling their development.

Publication Title

Corticothalamic Projection Neuron Development beyond Subtype Specification: Fog2 and Intersectional Controls Regulate Intraclass Neuronal Diversity.

Sample Metadata Fields

Specimen part

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accession-icon SRP060707
TET2 Regulates Mast Cell Differentiation and Proliferation through Catalytic and Non-catalytic Activities.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Dioxygenases of the TET family impact genome functions by converting 5-methylcytosine in DNA to 5-hydroxymethylcytosine, but the individual contribution of the three family members to differentiation and function of myeloid cells is still incompletely understood. Using cells with a deletion in the Tet2 gene, we show that TET2 contributes to the regulation of mast cell differentiation, proliferation and effector functions. The differentiation defect observed in absence of TET2 could be however completely rescued or further exacerbated by modulating TET3 activity, and it was primarily linked to dysregulated expression of the C/EBP family of transcription factors. In contrast, hyper-proliferation induced by the lack of TET2 could not be modified by TET3. Together, our data indicate the existence of both overlapping and unique roles of individual TET proteins in regulating myeloid cell gene expression, proliferation and function. Overall design: Total mRNA of FACS-sorted Kit+ FceRIa+ populations of primary bone marrow-derived mast cells (BMMCs) from Tet2-/- and Tet2+/+ animals was extracted and subjected to multiparallel sequencing.

Publication Title

TET2 Regulates Mast Cell Differentiation and Proliferation through Catalytic and Non-catalytic Activities.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE18027
BTG1 regulates glucocorticoid receptor autoinduction in acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

RNAi mediated knockdown of BTG1 in the acute lymphoblastic cell line RS4;11 causes this cell line to become resistant to prednisolone treatment when compared to control cells.

Publication Title

BTG1 regulates glucocorticoid receptor autoinduction in acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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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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