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accession-icon GSE44816
DOCK8 is critical for the survival and function of NKT cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

DOCK8 is critical for the survival and function of NKT cells.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE44815
DOCK8 is critical for the survival and function of NKT cells [NKT_CD103+]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of DOCK8 deficient animals revealed a novel marker of NKT cell development, the integrin CD103. The role of CD103 was further investigated by RNA microarray comparing CD103 negative versus positive NKT cells.

Publication Title

DOCK8 is critical for the survival and function of NKT cells.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE44814
DOCK8 is critical for the survival and function of NKT cells [DOCK8_CPM_NKT]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of DOCK8 deficient animals revealed a key role for this protein the survival and maintenance of natural killer T cells. This work lead to the identification of genes regulated by the guanine exchange factor, DOCK8.

Publication Title

DOCK8 is critical for the survival and function of NKT cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE51587
Identification of IL-21-induced STAT3 dependent genes in human B cells
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

IL-21 induces B cell activation, and differentiation into antibody-secreting plasmablasts in vitro. This process is abolished by loss-of function mutations in STAT3

Publication Title

IL-21 signalling via STAT3 primes human naive B cells to respond to IL-2 to enhance their differentiation into plasmablasts.

Sample Metadata Fields

Specimen part, Disease

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accession-icon SRP079238
Chromatin remodelling factor SMARCD2 (BAF60B) regulates transcriptional networks controlling early and late differentiation of neutrophil granulocytes
  • organism-icon Mus musculus
  • sample-icon 64 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Differentiation of haematopoietic stem cells followsa hierarchical program of transcription-factor regulated events. Early myeloid cell differentiation is dependent on PU.1 and CEBPA (CCAAT/enhancer binding protein alpha), late myeloid differentiation is orchestrated by CEBPE (CCAAT/enhancer binding protein epsilon). The influence of SWI/SNF (SWItch/Sucrose Non-Fermentable) chromatin remodelling factors as novel master regulators of haematopoietic differentiation is only beginning to be explored. Here, we identified three homozygous loss-of-function mutations in SMARCD2 (SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily d, member 2), a member of the SWI/SNF complex, in three unrelated pedigrees. We find that SMARCD2-deficient hematopoiesis results in dysfunctional neutrophil granulocytes, characterized by specific granule deficiency, myelodysplasia, and an excess of blast cells. We can show that SMARCD2 controls early steps in the differentiation of myeloid-erythroid progenitor cells in mice and zebra fish. In vitro SMARCD2 interacts with the transcription factor CEBPE. Furthermore, we find that SMARCD2 controls expression of neutrophil proteins stored in specific granules and leads to transcriptional and chromatin changes in AML cells. Hence, we identify SMARCD2 as a key factor controlling myelopoiesis and as a potential tumour suppressor in leukemia. Overall design: We analyzed CD45.2+ Lin- Mac+/low Sca1+ cKit+ (LSK) cells from Smarcd2 wild-type, heterozygous and mutant foetal livers in at least 5 replicates Additionally, we analysed three different progenitor populations from Smarcd2 wild-type and homozygous knock-out foetal livers: CD45+Lin-Sca-1-CD177+CD34lowCD16/32 (FCGR)low(MEP) CD45+Lin-Sca-1-CD177+CD34+CD16/32(FCGR)int (CMP) CD45+Lin-Sca-1-CD177+CD34+CD16/32(FCGR)high (GMP)

Publication Title

Chromatin-remodeling factor SMARCD2 regulates transcriptional networks controlling differentiation of neutrophil granulocytes.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

View Samples
accession-icon GSE81408
Gene expression in healthy and gene deficient human nave CD4+ T cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Ascertain the effects of disease-causing gene mutations on the differentiation status of human nave CD4+ T cells in the setting of primary immunodeficiencies. Thus, do CD4+ T cells isolated according to a nave surface phenotype (ie CD4+CD45RA+CCR7+) from healthy donors exhibit a similar gene expression profile as phenotpyically-matched cells isolated from individuals with defined primary immunodeficiencies caused by specific monogenic mutations.

Publication Title

Unique and shared signaling pathways cooperate to regulate the differentiation of human CD4+ T cells into distinct effector subsets.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE32519
Post-mortem cardiac tissue maintains gene expression profile even after late harvesting.
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Gene expression studies are used to help identify disease-associated genes, by comparing the levels of expressed transcripts between cases and controls, and to identify functional genetic variants known as expression quantitative loci (eQTLs). While many of these studies are performed in blood or lymphoblastoid cell lines due to tissue accessibility, the relevance of expression differences in tissues that are not the primary site of disease is unclear. Further, many eQTLs are tissue specific. Thus, there is a clear and compelling need to conduct gene expression studies in tissues that are specifically relevant to the disease of interest. One major technical concern about using autopsy-derived tissue is how representative it is of physiologic conditions, given the effect of postmortem interval on tissue degradation.

Publication Title

Postmortem cardiac tissue maintains gene expression profile even after late harvesting.

Sample Metadata Fields

Specimen part, Disease, Cell line

View Samples
accession-icon GSE10775
Expression profiling of mammalian Schwann cells in response to treatment with NRG and/or IGF
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Comparison of the changes in mitochondrial gene expression of cells in which extracellular growth factors and/or mitogens have been added.

Publication Title

Extracellular growth factors and mitogens cooperate to drive mitochondrial biogenesis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE7754
Identification of human miR-34a-responsive transcripts
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In order to examine the consequences of human miR-34a induction on the transcriptome, HCT116 cells (a colon cancer cell line) were infected with a retrovirus that produces miR-34a. Gene expression profiles were then monitored using Affymetrix microarrays.

Publication Title

Transactivation of miR-34a by p53 broadly influences gene expression and promotes apoptosis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE16476
Integrated bioinformatic and wet-lab approach to identify potential oncogenic networks in neuroblastoma
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

mRNA profiles of thousands of human tumors are available, but methods to deduce oncogenic signaling networks from these data lag behind. It is especially challenging to identify main-regulatory routes, and to generalize conclusions obtained from experimental models. We designed the bioinformatic platform R2 in parallel with a wet-lab approach of neuroblastoma. Here we demonstrate how R2 facilitates an integrated analysis of our neuroblastoma data. Analysis of the MYCN pathway suggested important regulatory connections to the polyamine synthesis route, the Notch pathway and the BMP/TGF pathway. A network of genes emerged connecting major oncogenes in neuroblastoma. Genes in the network carried strong prognostic values and were essential for tumor cell survival.

Publication Title

Sequencing of neuroblastoma identifies chromothripsis and defects in neuritogenesis genes.

Sample Metadata Fields

Specimen part

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)

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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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