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accession-icon SRP095091
Gene expression profile of regulatory T cell (Treg) subsets from CD28-deficient mouse
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

A comparative analysis of gene expression of CD4+ EGFP+ Nrp1+ (tTreg, thymus-derived Treg), CD4+ EGFP+ Nrp1- (pTreg, peripherally-derived Treg) and CD4+ EGFP- (Tconv, conventional T cell) in CD28-/- Foxp3EGFP and Foxp3EGFP mice. Overall design: Nrp1+ Treg (tTreg), Nrp1- Treg (pTreg) and Tconv were sorted from Foxp3EGFP and CD28-/-Foxp3EGFP mice. Total RNAs were extracted from whole samples and analyzed by RNA-seq.

Publication Title

CD28 co-stimulation is dispensable for the steady state homeostasis of intestinal regulatory T cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP026084
Global regulation of alternative splicing by adenosine deaminase acting on RNA (ADAR) [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Alternative mRNA splicing is a major mechanism for gene regulation and transcriptome diversity. Despite the extent of the phenomenon, the regulation and specificity of the splicing machinery are only partially understood. Adenosine-to-inosine (A-to-I) RNA editing of pre-mRNA by ADAR enzymes has been linked to splicing regulation in several cases. Here we used bioinformatics approaches, RNA-seq and exon-specific microarray of ADAR knockdown cells to globally examine how ADAR and its A-to-I RNA editing activity influence alternative mRNA splicing. Although A-to-I RNA editing only rarely targets canonical splicing acceptor, donor, and branch sites, it was found to affect splicing regulatory elements (SREs) within exons. Cassette exons were found to be significantly enriched with A-to-I RNA editing sites compared with constitutive exons. RNA-seq and exon-specific microarray revealed that ADAR knockdown in hepatocarcinoma and myelogenous leukemia cell lines leads to global changes in gene expression, with hundreds of genes changing their splicing patterns in both cell lines. This global change in splicing pattern cannot be explained by putative editing sites alone. Genes showing significant changes in their splicing pattern are frequently involved in RNA processing and splicing activity. Analysis of recently published RNA-seq data from glioblastoma cell lines showed similar results. Our global analysis reveals that ADAR plays a major role in splicing regulation. Although direct editing of the splicing motifs does occur, we suggest it is not likely to be the primary mechanism for ADAR-mediated regulation of alternative splicing. Rather, this regulation is achieved by modulating trans-acting factors involved in the splicing machinery. Overall design: HepG2 and K562 cell lines were stably transfected with plasmids containing siRNA designed to specifically knock down ADAR expression (ADAR KD). This in order to examine how ADAR affects alternative splicing globally.

Publication Title

Global regulation of alternative splicing by adenosine deaminase acting on RNA (ADAR).

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon GSE47998
Global regulation of alternative splicing by adenosine deaminase acting on RNA (ADAR)
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Global regulation of alternative splicing by adenosine deaminase acting on RNA (ADAR).

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE47945
Global regulation of alternative splicing by adenosine deaminase acting on RNA (ADAR) [expression]
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Alternative mRNA splicing is a major mechanism for gene regulation and transcriptome diversity. Despite the extent of the phenomenon, the regulation and specificity of the splicing machinery are only partially understood. Adenosine-to-inosine (A-to-I) RNA editing of pre-mRNA by ADAR enzymes has been linked to splicing regulation in several cases. Here we used bioinformatics approaches, RNA-seq and exon-specific microarray of ADAR knockdown cells to globally examine how ADAR and its A-to-I RNA editing activity influence alternative mRNA splicing. Although A-to-I RNA editing only rarely targets canonical splicing acceptor, donor, and branch sites, it was found to affect splicing regulatory elements (SREs) within exons. Cassette exons were found to be significantly enriched with A-to-I RNA editing sites compared with constitutive exons. RNA-seq and exon-specific microarray revealed that ADAR knockdown in hepatocarcinoma and myelogenous leukemia cell lines leads to global changes in gene expression, with hundreds of genes changing their splicing patterns in both cell lines. This global change in splicing pattern cannot be explained by putative editing sites alone. Genes showing significant changes in their splicing pattern are frequently involved in RNA processing and splicing activity. Analysis of recently published RNA-seq data from glioblastoma cell lines showed similar results. Our global analysis reveals that ADAR plays a major role in splicing regulation. Although direct editing of the splicing motifs does occur, we suggest it is not likely to be the primary mechanism for ADAR-mediated regulation of alternative splicing. Rather, this regulation is achieved by modulating trans-acting factors involved in the splicing machinery.

Publication Title

Global regulation of alternative splicing by adenosine deaminase acting on RNA (ADAR).

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE51499
Expression data from progesterone receptor knockout versus heterozygous mouse oviducts
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The oviducts play a critical role in gamete and embryo transport, as well as supporting fertilization and early embryo development. Progesterone receptor (PGR) is a transcription factor highly expressed in oviductal cells, while its activating ligand, progesterone (P4), surges to peak levels as ovulation approaches. P4 is known to regulate oviduct cilia beating and muscular contractions in vitro, but how PGR may mediate this in vivo is poorly understood. We used PGR-knockout (PRKO) mice to determine how PGR regulates oviductal function during the periovulatory period, in particular oviductal transport and embryo support.

Publication Title

Progesterone receptor-dependent regulation of genes in the oviducts of female mice.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE92438
Expression data from progesterone receptor knockout versus heterozygous mouse ovaries
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Regulation of the ovarian inflammatory response at ovulation by nuclear progesterone receptor.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE92437
Expression data from progesterone receptor knockout versus heterozygous mouse ovaries: granulosa cells
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Ovulation requires sequential molecular events and structural remodeling in the ovarian follicle for the successful release of a mature oocyte capable of being fertilised. Critical to this process is progesterone receptor (PGR), a transcription factor highly yet transiently expressed in granulosa cells of preovulatory follicles. Progesterone receptor knockout (PRKO) mice are anovulatory, with a specific and complete defect in follicle rupture. Therefore, this model was used to examine the critical molecular and biochemical mechanisms necessary for successful ovulation.

Publication Title

Regulation of the ovarian inflammatory response at ovulation by nuclear progesterone receptor.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE92436
Expression data from progesterone receptor knockout versus heterozygous mouse ovaries: cumulus oocyte complexes
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Ovulation requires sequential molecular events and structural remodeling in the ovarian follicle for the successful release of a mature oocyte capable of being fertilised. Critical to this process is progesterone receptor (PGR), a transcription factor highly yet transiently expressed in granulosa cells of preovulatory follicles. Progesterone receptor knockout (PRKO) mice are anovulatory, with a specific and complete defect in follicle rupture. Therefore, this model was used to examine the critical molecular and biochemical mechanisms necessary for successful ovulation.

Publication Title

Regulation of the ovarian inflammatory response at ovulation by nuclear progesterone receptor.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE45618
Expression analysis of BL6 murine megakaryocyte progenitors from bone marrow and fetal Liver
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

About 10% of Down syndrome (DS) infants are born with a myeloproliferative disorder (DS-TMD) that spontaneously resolves within the first few months of life. About 20-30% of these infants subsequently develop acute megakaryoblastic leukemia (DS-AMKL). In order to understand differences that may exist between fetal and bone marrow megakaryocyte progenitor cell populations we flow sorted megakaryocyte progenitor cells and performed microarray expression analysis.

Publication Title

Developmental differences in IFN signaling affect GATA1s-induced megakaryocyte hyperproliferation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE45619
Expression analysis of GATA1s murine megakaryocyte progenitors from bone marrow and fetal Liver
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

About 10% of Down syndrome (DS) infants are born with a myeloproliferative disorder (DS-TMD) that spontaneously resolves within the first few months of life. About 20-30% of these infants subsequently develop acute megakaryoblastic leukemia (DS-AMKL). In order to understand differences that may exist between fetal and bone marrow megakaryocyte progenitor cell populations we flow sorted megakaryocyte progenitor cells and performed microarray expression analysis.

Publication Title

Developmental differences in IFN signaling affect GATA1s-induced megakaryocyte hyperproliferation.

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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