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accession-icon SRP079936
Next Generation Sequencing Comparison of Wild Type and Whsc1-/- Activated B-cell Transcriptomes
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Whsc1 gene codes for a SET domain-containing H3K36 dimethylase, whose activity has been suggested, in ex vivo cell culture experiments, to control many aspects of DNA and RNA processing (replication, repair, transcription, etc). Its precise function in vivo is still unclear. Here, we use RNA-seq transcriptome analysis to study the changes in gene expression in the absence of Whsc1. Our results show that, in the experimental system used, loss of Whsc1 caused massive changes in genes affecting many fundamental cellular processes, from cell cycle to ribosome synthesis, DNA repair, replication, etc. Overall design: Whsc1-KO mice are embryonic lethal. We therefore took hematopoietic cells from fetal liver of WT and Whsc1-KO embryo littermates and injected them in to lethally irradiated RAG1-KO recipients and allowed the generation of a full Whsc1-KO hematopoietic system. Then, WT and Whsc1-KO B cells were obtained from the spleen and stimulated with LPS to induce proliferation and class switch recombination. Flow cytometry and cell cycle analyses (among others) showed the existence of serious proliferative alterations in Whsc1-KO cells. Then, we performed paired-end RNAseq analyses of 7 independent WT and 6 independent Whsc1-KO biological replicates and we used these data to identify differentially expressed genes and pathways regulated by Whsc1 in B cells.

Publication Title

Wolf-Hirschhorn Syndrome Candidate 1 Is Necessary for Correct Hematopoietic and B Cell Development.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE5130
Accurate and precise transcriptional profiles from 50 pg of total RNA or 100 flow-sorted primary lymphocytes
  • organism-icon Mus musculus
  • sample-icon 103 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

We have developed a total RNA amplification and labeling strategy for use with Affymetrix GeneChips. Our protocol, which we denote BIIB, employs two rounds of linear T7 amplification followed by Klenow labeling to generate a biotinylated cDNA. In benchmarking studies using a titration of mouse universal total RNA, BIIB outperformed commercially available kits in terms of sensitivity, accuracy, and amplified target length, while providing equivalent results for technical reproducibility. BIIB maintained 50 and 44% present calls from 100 and 50 pg of total RNA, respectively. Inter- and intrasample precision studies indicated that BIIB produces an unbiased and complete expression profile within a range of 5 ng to 50 pg of starting total RNA. From a panel of spiked exogenous transcripts, we established the BIIB linear detection limit to be 20 absolute copies. Additionally, we demonstrate that BIIB is sensitive enough to detect the stochastic events inherent in a highly diluted sample. Using RNA isolated from whole tissues, we further validated BIIB accuracy and precision by comparison of 224 expression ratios generated by quantitative real-time PCR. The utility of our method is ultimately illustrated by the detection of biologically expected trends in a T cell/B cell titration of 100 primary cells flow sorted from a healthy mouse spleen.

Publication Title

Accurate and precise transcriptional profiles from 50 pg of total RNA or 100 flow-sorted primary lymphocytes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE107613
Gene expression profile of juvenile R6/1 and N171-82Q brains
  • organism-icon Mus musculus
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcriptional dysregulation in Huntingtons disease (HD) is an early event that affects the expression of genes involved in survival and neuronal functions throughout the progression of the pathology. In the last years, extensive research has focused on epigenetic and chromatin-modifying factors as a causative explanation for such dysregulation, offering attractive targets for pharmacological therapies. In this work we examined the gene expression profiles in cortex, striatum, hippocampus and cerebellum of juvenile R6/1 and N171-82Q mice, two models of fast progressive HD, to retrieve the early transcriptional signatures associated with this pathology.These profiles showed significant coincidences with the transcriptional changes in the conditional knockout for the lysine acetyltransferase CBP in postmitotic forebrain neurons.

Publication Title

Early alteration of epigenetic-related transcription in Huntington's disease mouse models.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE75808
Differential Ly6C Expression after Renal Ischemia-Reperfusion Identifies Unique Macrophage Populations
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Macrophages are a heterogeneous cell type implicated in injury, repair, and fibrosis after AKI, but the macrophage population associated with each phase is unclear.results of this study in a renal ischemia-reperfusion injury model allow phenotype and function to be assigned to CD11b+/Ly6C+ monocyte/macrophage populations in the pathophysiology of disease after AKI.

Publication Title

Differential Ly6C Expression after Renal Ischemia-Reperfusion Identifies Unique Macrophage Populations.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP071754
Transcriptomic analysis of liver of WT and p21KO mice upon 24h fasting
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We profiled total liver mRNA of WT and p21KO mice that were fed ad libitum or fasted for 24 hours Overall design: 2-3 mice of each genotype were either fed or fasted for 24 hours, sacrificed and total mRNA was extracted from liver (we mapped >12M reads per sample)

Publication Title

p21<sup>Cip1</sup> plays a critical role in the physiological adaptation to fasting through activation of PPARα.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP074301
The function of c-Fos in hepatocarcinogenesis
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Illumina Genome Analyzer IIx

Description

c-Fos, a member of the stress-activated Activator Protein 1 (AP-1) transcription factor family, is expressed in human hepatocellular cancer (HCC). Using genetically engineered mouse models (GEMMs) we show that hepatocyte-specific expression of c-Fos leads to a proliferative, de-differentiated phenotype, whereas hepatocyte-specific deletion of c-Fos protects against diethylnitrosamine (DEN)-induced liver cancer. Furthermore, c-Fos-expressing livers resemble human HCCs based on expression profiles. In the present RNA seq, we intend to analyze the transcriptomic profile of livers at 2 and 4 mo hepatocyte-specific c-Fos expression compared to the corresponding age-matched control mice. Moreover, we analyzed livers of mice with hepatocyte-specific deletion c-Fos at 48h after DEN treatment compared to identically treated control mice. Overall design: The general idea was to analyze the transcriptomic profile of hepatocyte-specific c-Fos over-expressing livers at 2 and 4 mo expression. Hereby, a hepatocyte-specific doxycycline (Dox)-switchable mouse model was (LAP-tTA; col1a1:Tet-O-fosFlag) was generated and c-Fos expression was induced at the age of 3 weeks by removal of doxycycline. Each sample LaptTA-fos-MUT represents an individual hepatocyte-specific c-fos expressing mouse at the indicated time-point and the corresponding identically treated control mouse LaptTA-fos-CO. Moreover, the transcriptomic profile of livers with hepatocyte-specific deletion of c-Fos at 48h after diethylnitrosamine (DEN)-induced liver cancer initiation was analyzed. For hepatocyte-specific knock-out of c-Fos, mice with conditional alleles of c-fos and the Alfp-Cre transgene were used. Control mice only carried the Alfp-Cre transgene. At the age of 8 weeks these mice were injected with 100mg/kg DEN. Each sample AlfpCre-fos-MUT_DEN represents an individual hepatocyte-specific c-fos knock-out mouse 48h after DEN and the identically treated control mouse AlfpCre-fos-CO-Cre+_DEN.

Publication Title

Liver carcinogenesis by FOS-dependent inflammation and cholesterol dysregulation.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE25639
A mouse model of deregulation of the malt1 oncogene recapitulates the pathogenesis of human malt lymphoma
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 113 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Expression of MALT1 oncogene in hematopoietic stem/progenitor cells recapitulates the pathogenesis of human lymphoma in mice.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE25638
A mouse model of deregulation of the malt1 oncogene recapitulates the pathogenesis of human malt lymphoma [MALT dataset]
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Attempts at modeling chromosomal translocations involving MALT1 gene, hallmarks of human mucosa-associated lymphoid tissue (MALT) lymphoma, have failed to reproduce the disease in mice. Here we describe a transgenic model in which MALT1 expression was targeted to mouse hematopoietic stem/progenitor cells. In Sca1-MALT1 mice, MALT1 deregulation activated the NF-kappaB pathway in Sca1+ cells, promoting selective B-cell differentiation and mature lymphocyte accumulation in extranodal tissues, progressively leading to the development of clonal B-cell lymphomas. These tumors recapitulated the histopathological features of human MALT lymphomas, presenting typical lymphoepithelial lesions and plasmacytic differentiation. Transcriptional profiling of Sca1-MALT1 murine lymphomas revealed overlapping molecular signatures with human MALT lymphomas, including MALT1-mediated NF-kappaB activation, pro-inflammatory signaling and XBP1-induced plasmacytic differentiation. Moreover, murine Malt1 showed proteolytic activity by cleaving Bcl10 in Sca1-MALT1 lymphomas. Our novel technological approach has allowed modeling human MALT lymphoma in mice, which represent unique tools study MALT lymphoma biology and evaluate anti-MALT1 therapies.

Publication Title

Expression of MALT1 oncogene in hematopoietic stem/progenitor cells recapitulates the pathogenesis of human lymphoma in mice.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE34015
Expression of MALT1 oncogene in mouse hematopoietic stem/progenitor cells recapitulates the pathogenesis of human MALT lymphoma
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Comparison of gene expression profiling analysis of bone marrow isolated CD34+ cells from patients with MALT lymphoma vs. healthy individuals revealed a large number of differentially expressed genes that included NF-kB target genes, genes involved in inflamatory signalling and immunoglobulin genes, suggesting an early lymphoid B-cell priming.

Publication Title

Expression of MALT1 oncogene in hematopoietic stem/progenitor cells recapitulates the pathogenesis of human lymphoma in mice.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE25637
A mouse model of deregulation of the malt1 oncogene recapitulates the pathogenesis of human malt lymphoma [Spleen dataset]
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Attempts at modeling chromosomal translocations involving MALT1 gene, hallmarks of human mucosa-associated lymphoid tissue (MALT) lymphoma, have failed to reproduce the disease in mice. Here we describe a transgenic model in which MALT1 expression was targeted to mouse hematopoietic stem/progenitor cells. In Sca1-MALT1 mice, MALT1 deregulation activated the NF-kappaB pathway in Sca1+ cells, promoting selective B-cell differentiation and mature lymphocyte accumulation in extranodal tissues, progressively leading to the development of clonal B-cell lymphomas. These tumors recapitulated the histopathological features of human MALT lymphomas, presenting typical lymphoepithelial lesions and plasmacytic differentiation. Transcriptional profiling of Sca1-MALT1 murine lymphomas revealed overlapping molecular signatures with human MALT lymphomas, including MALT1-mediated NFkappaB activation, pro-inflammatory signaling and XBP1-induced plasmacytic differentiation. Moreover, murine Malt1 showed proteolytic activity by cleaving Bcl10 in Sca1-MALT1 lymphomas. Our novel technological approach has allowed modeling human MALT lymphoma in mice, which represent unique tools study MALT lymphoma biology and evaluate anti-MALT1 therapies.

Publication Title

Expression of MALT1 oncogene in hematopoietic stem/progenitor cells recapitulates the pathogenesis of human lymphoma in mice.

Sample Metadata Fields

Specimen part, Disease

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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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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