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accession-icon SRP158491
Gene expressions of T cells in each developmental stages in healthy volunteers and patients with rheumatoid arthritis
  • organism-icon Homo sapiens
  • sample-icon 276 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

We collected and compared samples from the cohort consisted of six groups as follows: methotrexate (MTX) monotherapy, combination therapy of MTX and infliximab (IFX), tocilizumab (TCZ) monotherapy, age- and gender-matched HC, and a small number of synovial fluid samples. In order to reduce variation due to the proportion of cells at each developmental stage, we performed transcriptome analysis after sorting CD4+ and CD8+ T cells according to developmental stage. We created a gene list that was significantly expressed in RA T cells, and revealed that pathways such as mTORC1, IL-2-stat5, Cell cycle and interferon-related genes were significantly enriched among them. Overall design: Examination among healthy controls and patients with rheumatoid arthritis, including before and after treatment

Publication Title

Multi-dimensional analysis identified rheumatoid arthritis-driving pathway in human T cell.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Subject

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accession-icon SRP140437
Transcriptome change after tocilizumab therapy in rheumatoid arthritis patients
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

We compared whole CD4+ and CD8+ T cells from frozen PBMC samples that were collected before and after treatment initiation of each patient with rheumatoid arthritis. Lists consisting of 858 and 950 differentially expressed genes were created from CD4 and CD8, respectively, and these were used for enrichment analysis. As a result, we found that certain pathways were downregulated after TCZ treatment in both CD4+ and CD8+ T cells, including mechanistic target of rapamycin complex 1 (mTORC1) signaling, the IL-2 pathway, and IFN-related genes. Overall design: Examination between before and after tocilizumab treatment of CD4 and CD8 T cell in rheumatoid arthritis patients

Publication Title

Multi-dimensional analysis identified rheumatoid arthritis-driving pathway in human T cell.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Subject

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accession-icon GSE17067
A quantitative model of transcription regulation reveals the role of non-conserved enhancers
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We identify sites of combinatorial control by performing high throughput ChIP experiments on p300, CREB-binding protein (CBP), the deacetylase SIRT1 and on multiple DNA-binding transcription factors in three different tissues. We present a quantitative model of transcriptional regulation that reveals the contribution of each binding site to tissue-specific gene expression in several mouse cell types. Binding to both evolutionarily conserved and non-conserved sequences is found to contribute significantly to transcriptional regulation. We demonstrate that binding location strongly predicts the expression level of nearby genes.

Publication Title

A quantitative model of transcriptional regulation reveals the influence of binding location on expression.

Sample Metadata Fields

Specimen part

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accession-icon GSE18854
Time course analysis of dedifferentiation in porcine follicular granulosa cells
  • organism-icon Sus scrofa
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Cellular dedifferentiation signifies the withdrawal of cells from a specific differentiated state into a stem cell-like undifferentiated state. However, the mechanism of dedifferentiation remains obscure. We showed that follicular granulosa cells (GC), which have distinct functions in vivo, can dedifferentiate during culture in vitro and acquire multipotency.

Publication Title

Dedifferentiated follicular granulosa cells derived from pig ovary can transdifferentiate into osteoblasts.

Sample Metadata Fields

Specimen part

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accession-icon SRP040656
Expression profiling by high throughput sequencing
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Innate immune cells control acute eosinophilic lung inflammation induced by cystein proteases. Here we characterize the dynamic change of gene expression profile in basophils, natural helper cells and eosinophils during lung inflammation via cystein protease Overall design: Examination of mRNA levels in individual cell populations, basophils, natural helper cells and eosinophils of the lung from naïve mice and papain treated mice.

Publication Title

Basophil-derived interleukin-4 controls the function of natural helper cells, a member of ILC2s, in lung inflammation.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP124826
Temporal transcriptomic profiles of transition from hematopoietic multipotent progenitors to B committed cells [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

To identify the “time-lapse” TF networks during B lineage commitment, we established multipotent progenitors harboring a tamoxifen-inducible form of Id3, an in vitro system where virtually all cells became B cells within 6 days by simply withdrawing 4-OHT. In this study, transcriptome analysis at multiple time points was performed using the culture system. Overall design: Time-course transcriptomic profiles of multipotent iLS cells toward B committed cells were analyzed by deep sequencing, basically in triplicate, using Illumina Hiseq platform.

Publication Title

Three-step transcriptional priming that drives the commitment of multipotent progenitors toward B cells.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon GSE77559
MAFG is a transcriptional repressor of bile acid synthesis and metabolism
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

MAFG is a transcriptional repressor of bile acid synthesis and metabolism.

Sample Metadata Fields

Treatment

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accession-icon GSE77507
Differential gene expression following MafG overexpression
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Specific bile acids are potent signaling molecules that modulate metabolic pathways affecting lipid, glucose and bile acid homeostasis, and the microbiota. Bile acids are synthesized from cholesterol in the liver, and the key enzymes involved in bile acid synthesis (Cyp7a1, Cyp8b1) are regulated transcriptionally by the nuclear receptor FXR. We have identified an FXR-regulated pathway upstream of a transcriptional repressor that controls multiple bile acid metabolism genes. We identify MafG as an FXR target gene and show that hepatic MAFG overexpression represses genes of the bile acid synthetic pathway and modifies the biliary bile acid composition. In contrast, loss-of-function studies using MafG(+/-) mice causes de-repression of the same genes with concordant changes in biliary bile acid levels. Finally, we identify functional MafG response elements in bile acid metabolism genes using ChIP-seq analysis. Our studies identify a molecular mechanism for the complex feedback regulation of bile acid synthesis controlled by FXR

Publication Title

MAFG is a transcriptional repressor of bile acid synthesis and metabolism.

Sample Metadata Fields

Treatment

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accession-icon SRP055677
RNA-seq analysis of add-back rescued TALEN-mediated LATS2 knockout HeLa-S3 cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Chromatin modifying activities for construction of appropriate epigenetic landscapes by polycomb repressive complex 2 (PRC2) play an essential role in development and tumorigenesis. However, the spatiotemporal mechanisms by which PRC2 achieves diverse epigenomes for specific tissue or cellular contexts remain poorly understood. Here, we discovered that LATS2 knockout causes dysregulation of PRC2 and subsequent transcriptome changes for differentiation in both mouse and human cells. LATS2 depletion dependent dysregulation of PRC2 also effects H3K4me3 and forms negative feedback loop for maintenance of PRC2. Further analyses reveal that LATS2 on chromatin binds to EZH2 and LATS2 has ability to phosphorylate PRC2 in vitro. These LATS2 dependent H3K27me3 targets are highly induced during neurogenesis, and statistical analysis of glioblastoma multiforme reveals that LATS2-high cases show more dedifferentiated transcriptome and poor prognosis with silencing of H3K27me3 targets. These observations suggest that LATS2-mediated epigenome coordination is pivotal for development and disease, including cancer. Overall design: mRNA of LATS2 KO HeLa-S3 cells rescued by empty vector, wild-type LATS2 or kinase-dead LATS2 were subjected to deep sequencing profiling using Illumina HiSeq 2500

Publication Title

LATS2 Positively Regulates Polycomb Repressive Complex 2.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE142191
Whole-exome and RNA sequencing of pulmonary carcinoid reveals chromosomal rearrangements associated with recurrence
  • organism-icon Homo sapiens
  • sample-icon 23 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

Whole-exome and RNA sequencing of pulmonary carcinoid reveals chromosomal rearrangements associated with recurrence.

Sample Metadata Fields

Sex, Age, Specimen part

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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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