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accession-icon SRP094432
RNA-SEQ of mutants B cell for IgH 3''RR and Emu
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

RNA-SEQ of mutants B cell for IgH 3''RR and Emu Overall design: CD43- splenic B-cells from wt, Eµ-deficient or 3''RR deficient mice, non stimulated (NS) or stimulated (S) with 5mg/ml LPS.

Publication Title

E<sub>μ</sub> and 3'RR IgH enhancers show hierarchic unilateral dependence in mature B-cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP067834
Deciphering the importance of the palindromic architecture of the immunoglobulin heavy chain 3' regulatory region.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The IgH 3' regulatory region (3'RR) controls class switch recombination (CSR) and somatic hypermutation (SHM) in B cells. The mouse 3'RR contains four enhancer elements with hs1,2 flanked by inverted repeated sequences and the center of a 25-kb palindrome bounded by two hs3 enhancer inverted copies (hs3a and hs3b). hs4 lies downstream of the palindrome. Evolution maintained in mammals this unique palindromic arrangement suggesting that it is functionally significant. We report that deconstructing the palindromic IgH 3'RR strongly impacts its function even when enhancers are preserved. CSR and IgH transcription appear poorly dependent from the 3'RR architecture and are more or less preserved provided 3'RR enhancers are present. By contrast, an “architectural effect” significantly lowers VH germline transcription, AID recruitment and SHM. In conclusion, this work indicates that the IgH 3'RR does not simply pile up enhancer units but also optimally expose them into a functional architecture of crucial importance. Overall design: RNAseq analysis of B-cell splenocytes with (S=stimulated) or without (R=resting) LPS activation from wt, delta2leftPAL, and deltaIRIS mice.

Publication Title

Deciphering the importance of the palindromic architecture of the immunoglobulin heavy-chain 3' regulatory region.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE2531
JEG3 vs BeWo
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

In this experiment we compared total RNA from two commonly used choriocarcinoma cell lines, JEG3 and BeWo, to identify differentially expressed transcripts.

Publication Title

Microarray analysis of BeWo and JEG3 trophoblast cell lines: identification of differentially expressed transcripts.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE41509
Yap role in intestine
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Restriction of intestinal stem cell expansion and the regenerative response by YAP.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE41507
RSpondin1 treatment of control and Yap cKO mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

RSpondin1 adenovirus was administered to mice and intestine was isolated for expression analysis 1 week later.

Publication Title

Restriction of intestinal stem cell expansion and the regenerative response by YAP.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE62203
Effect of glucose, endothelin-1 and cortisol on human iPS-derived cardiomyocytes
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of human iPS-derived cardiomyocytes exposed to glucose, endothelin-1 and cortisol in vitro. Treatment produces a surrogate diabetic cardiomyopathic phenotype. Results provide insight into the pathways regulated by the treatment in the cardiomyocyte.

Publication Title

Disease modeling and phenotypic drug screening for diabetic cardiomyopathy using human induced pluripotent stem cells.

Sample Metadata Fields

Specimen part, Treatment, Time

View Samples
accession-icon GSE6908
Transcript Profiling of the Aerobic and Anoxic Rice Coleoptile
  • organism-icon Oryza sativa
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Rice (Oryza sativa L.) seeds can germinate in complete absence of oxygen. Under anoxia, the rice coleoptile elongates, reaching a length greater than that of the aerobic one. In this series, we compare the transcriptome of rice coleoptiles grown under aerobic and anaerobic conditions.

Publication Title

Transcript profiling of the anoxic rice coleoptile.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE81440
Identification of an NKX3.1-G9a-UTY regulatory network that controls prostate differentiation
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

To investigate the role of NKX3.1 in prostate differentiation, we employed transcriptome analysis of mouse seminal vesicle (from 15-month-old Nkx3.1+/+ mice); mouse prostate (from 4-month-old Nkx3.1+/+ and Nkx3.1-/- mice); human prostate cells (RWPE1 cells engineered with empty vector (altered pTRIPZ), NKX3.1 wild type over-expression, and NKX3.1 (T164A) mutant over-expression); and tissue recombinants (generated from combining engineered mouse epithelial cells (seminal vesicle epithelial cells or prostate epithelial cells from 2-month-old mice) and rat UGS mesenchymal cells). Mouse tissue or human cells were snap frozen for subsequent molecular analysis.

Publication Title

Identification of an NKX3.1-G9a-UTY transcriptional regulatory network that controls prostate differentiation.

Sample Metadata Fields

Age, Specimen part, Cell line

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accession-icon SRP075116
Identification of an NKX3.1-G9a-UTY regulatory network that controls prostate differentiation (Mouse_Recomb_RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Analysis of transcriptome of tissue recombinants (mouse seminal vesicle epithelial [SVE] cells or prostate epithelial [PE] cells, and rat urogenital sinus [UGS] mesenchymal cells) grown under the kidney capsule in athymic nude mice for 3 months. Overall design: Total RNA obtained from tissue recombinants generated from combining engineered mouse epithelial cells (SVE or PE from 2-month-old C57Bl/6J mice) and rat UGS mesenchymal cells. Tissue recombinants were harvested and processed for RNA isolation and transcriptome analysis using the RNeasy kit (Qiagen).

Publication Title

Identification of an NKX3.1-G9a-UTY transcriptional regulatory network that controls prostate differentiation.

Sample Metadata Fields

Age, Specimen part, Subject

View Samples
accession-icon SRP075117
Identification of an NKX3.1-G9a-UTY regulatory network that controls prostate differentiation (Human_RWPE1_RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Analysis of transcriptome of human RWPE1 cells over-expressing wild type NKX3.1 and mutant NKX3.1 (T164A). Overall design: Total RNA obtained from RWPE1 cells engineered with empty vector (altered pTRIPZ), NKX3.1 wild type over-expression, and NKX3.1 (T164A) mutant over-expression. Engineered RWPE1 cells were harvested and processed for RNA isolation and transcriptome analysis using the MagMAX RNA isolation kit (Ambion).

Publication Title

Identification of an NKX3.1-G9a-UTY transcriptional regulatory network that controls prostate differentiation.

Sample Metadata Fields

Cell line, Subject

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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