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accession-icon SRP076703
Expression profiling analysis of mouse P4 cerebellum in CitK mutant mice proficient or knockout for P53
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiScanSQ

Description

Purpose: Citron kinase (CitK) knockout mice show a severe form of primary microcephaly, associated with ataxia and lethal epilepsy. This phenotype is caused by massive apoptosis occuring during embryonic and post-natal brain development, associated with cytokinesis failure. Cerebellum is the tissue showing highest sensitivity to CitK loss. The clinical phenotype of CitK knockout mice is significantly resued by P53 inactivation. In addition, CitK/P53 double knockout brains have almost normal levels of apoptosis, but display high percentage of binucleated and multinucleated cells. The aim of this study was to analyze the gene expression changes produced in developing neural tissue by CitK loss and to determine which alterations are P53-dependent. expression changes Methods: We analyzed by RNA sequencing total RNA extracted from P4 cerebellum of mice characterized by the following genotypes: 1. CitK +/-, P53 +/- (CTRL); 2. CitK -/-, P53 +/- (CitK-KO); 3. CitK +/-, P53 -/- (P53-KO); 4. CitK -/-, P53 -/- (D-KO). Biological triplicates were analyzed per every genotype. Conclusions: The loss of CitK leads to a strong reduction of the expression of pro-neural genes and induces a P53-related pro-apoptotic gene sets. The analysis of D-KO mice reveals that most of these changes are P53-dependent, but many genes implicated in growth arrest are induced through P53-independent mechanisms. Overall design: Cerebellar mRNA profiles of 4-day old mice of CTRL, CitK-KO, P53-KO and D-KO mice were generated by deep sequencing, in triplicate, using Illumina HiScan SQ

Publication Title

ZIKA virus elicits P53 activation and genotoxic stress in human neural progenitors similar to mutations involved in severe forms of genetic microcephaly.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP069292
RNA-sequencing reveals transcriptional up-regulation of Trem2 in response to bexarotene treatment
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

High throughput massively parallel sequencing on mRNA libraries generated from cortices of bexarotene or vehicle treated APP/PS1 Overall design: Read counts analyzed for differential gene expression using edgeR

Publication Title

RNA-sequencing reveals transcriptional up-regulation of Trem2 in response to bexarotene treatment.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE44057
Tissue macrophage subsets derived from regenerating muscle
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Muscle injury was elicited by cardiotoxin injection into the tibialis anterior muscle. Macrophages were isolated 2 days post-injury from the regenerating muscle.

Publication Title

Tissue LyC6- macrophages are generated in the absence of circulating LyC6- monocytes and Nur77 in a model of muscle regeneration.

Sample Metadata Fields

Specimen part

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accession-icon GSE19776
Adrenocortical Carcinoma Gene Expression Profiling
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

PTTG1 overexpression in adrenocortical cancer is associated with poor survival and represents a potential therapeutic target.

Sample Metadata Fields

Sex, Age, Specimen part, Disease stage

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accession-icon GSE19750
Adrenocortical Carcinoma Gene Expression Profiling [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Adrenocortical carcinoma (ACC) is associated with poor survival rates. The objective of the study was to analyze ACC gene expression profiling data prognostic biomarkers and novel therapeutic targets.

Publication Title

PTTG1 overexpression in adrenocortical cancer is associated with poor survival and represents a potential therapeutic target.

Sample Metadata Fields

Sex, Disease stage

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accession-icon GSE23117
Gene expression in minor salivary gland of patients with Sjogren's syndrome (SS) and control
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To study the gene expression profile of salivary glands with varying degrees of inflammation in Sjogren's and non Sjogren's patients

Publication Title

Chitinases in the salivary glands and circulation of patients with Sjögren's syndrome: macrophage harbingers of disease severity.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE17343
Expression data from Arabidopsis pollen and semi in vivo- and in vitro-grown pollen tubes.
  • organism-icon Arabidopsis thaliana
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Pollen tubes extend through pistil tissues and are guided to ovules where they release sperm for fertilization. Although pollen tubes can germinate and elongate in a synthetic medium, their trajectory is random and their growth rates are slower compared to growth in pistil tissues. Furthermore, interaction with the pistil renders pollen tubes competent to respond to guidance cues secreted by specialized cells within the ovule. The molecular basis for this potentiation of the pollen tube by the pistil remains uncharacterized.

Publication Title

Penetration of the stigma and style elicits a novel transcriptome in pollen tubes, pointing to genes critical for growth in a pistil.

Sample Metadata Fields

Specimen part

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accession-icon GSE71152
Highly dynamic molecular signature of macrophage subsets during sterile inflammation, resolution and tissue repair
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Tibialis anterior muscle was damaged by cardiotoxin injection and macrophage subsets were isolated and analyzed by gene expression analysis.

Publication Title

Highly Dynamic Transcriptional Signature of Distinct Macrophage Subsets during Sterile Inflammation, Resolution, and Tissue Repair.

Sample Metadata Fields

Time

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accession-icon GSE66687
Gene expression profile associated with loss of IFNAR signaling or loss of LTR singlaing in spleen marginal zone macrophages (MZM) in autoimmune BXD2 mice
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Loss of the interactions between lymphotoxin and its receptor was associated with MZM apoptotic cell clearance defects in BXD2 mice whereas loss of IFNAR in BXD2 mice normalized the function of MZMs. The analysis also intended to use MZMs isolated from BXD2-Ifnar-/- mice and BXD2 mice treated with sLTbR-Fc to identify the common pathways regulating the MZM function in these mice.

Publication Title

Interferon-induced mechanosensing defects impede apoptotic cell clearance in lupus.

Sample Metadata Fields

Specimen part

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accession-icon SRP126672
Integrative molecular and clinical analysis of intrahepatic cholangiocarcinoma reveals two prognostic subclassees
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Intrahepatic cholangiocarcioma has two molecular classification of intrahepatic CCA with distinct clinical, pathological, biological and prognostic differences Overall design: Examination of 2 different cluster of intrahepatic cholangiocarcinoma based on RNA sequencing by NGS

Publication Title

Prognostic subclass of intrahepatic cholangiocarcinoma by integrative molecular-clinical analysis and potential targeted approach.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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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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