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accession-icon GSE71370
Profiling of CD14+ monocytes from paired rheumatoid arthritis (RA)-patient peripheral blood and synovial fluid samples
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD14+ monocytes sorted from the synovial fluid or peripheral blood of rheumatoid arthritis patients were analyzed by full transcriptome microarray analysis. Monocytes from healthy control samples (peripheral blood) were also profiled.

Publication Title

MicroRNA-155 contributes to enhanced resistance to apoptosis in monocytes from patients with rheumatoid arthritis.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE36228
Affymetrix Cotton Genome array expression data of cotton fiber at different developmental stages from different varieties of Gossypium hirsutum
  • organism-icon Gossypium hirsutum
  • sample-icon 89 Downloadable Samples
  • Technology Badge Icon Affymetrix Cotton Genome Array (cotton)

Description

Cotton fiber were used for the expression analysis at different developmental stages

Publication Title

Transcriptome dynamics during fibre development in contrasting genotypes of Gossypium hirsutum L.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE59175
Genome-wide RNAi screen reveals factors needed at the transition steps of induced reprogramming
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 R2 expression beadchip

Description

Analysis of step-wise transcriptome changes of reprogrammed cells in different stages during induced reprogramming.

Publication Title

Genome-wide functional analysis reveals factors needed at the transition steps of induced reprogramming.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP128490
RNA sequencing to study transcriptomic changes in DLD-1 (colorectal adenocarcinoma) cells exposed to soft polyacrylamide matrices (~2 kPa and ~55 kPa) for short time scale of 90 minutes
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Aim: To examine transcriptional changes in DLD-1 cells exposed to softer matrices (2 kPa and 55 kPa) and identify the chromosomes that are enriched with maximmally deregulated genes Methods: DLD-1 cells (otherwise growing on stiff tissue culture plastic substrates) were exposed to softer matrices for 90 minutes and to collagen coated glass coverslips (served as control) served as control) Results: RNA sequencing revealed nearly equivalent transcriptional deregulation in cells on both the polyacrylamide matrices (783 genes up and 872 genes down on 2 kPa, 649 genes up and 783 genes down on 55 kPa) when compared to cells on glass. Additionally, GO classification revealed that unique sets of transcriptionally deregulated genes (log fold=2) belonged to pathways associated with transcription regulation, chromatin organization, cell cycle and DNA damage/repair Results: We identified chromosomes 1, 2, 3, 6, 7, 10, 12, 14, 17 and 19 to be maximally enriched with the deregulated genes on softer matrices (log fold=2), while chromosomes 13, 18 and 21 showed minimal enrichment of deregulated genes. We also examined the spatial organization of chromosome 1, 18 and 19 territories in cells on softer matrices (using 3D-FISH) and observed that these chromosomes were mislocalized away from their conserved nuclear locations Conclusions: Our study reports the transcriptomic changes in DLD-1 cells upon lowering of extracellular substrate stiffnes and its impact on the spatial positioning of chromosome territories Overall design: RNA Seq profiles for DLD-1 cells on soft polyacrylamide matrices of ~2 kPa and ~55 kPa (reference - glass) were generated across 2 independent biological replicates using Illumina HiSeq platform

Publication Title

Emerin modulates spatial organization of chromosome territories in cells on softer matrices.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP098734
Genome-wide expression analysis of Caenorhabditis elegans AXIN mutant
  • organism-icon Caenorhabditis elegans
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: The goal of this study is to identify differentially expressed genes in pry-1/Axin mutant compare to N2 wild-type (WT).  Our study represents the first analysis of Axin transcriptome in C. elegans and facilitates investigations of axin mediated processes. Overall design: Whole animal total RNA was extracted from L1 synchronized worms and mRNA profiles of WT and pry-1(mu38) animals were generated by paired end deep sequencing, using Illumina HISeq 2000. The sequence reads that passed quality filters were analyzed using ce6 with Burrows–Wheeler Aligner (BWA) followed by eXpress to estimate transcript abundances. Differentially-expressed genes were called at a false discovery rate (FDR) of 0.05% using the DESeq package in R.

Publication Title

PRY-1/Axin signaling regulates lipid metabolism in Caenorhabditis elegans.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE58403
FOXO4 knockdown in LNCaP prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Compares shFOXO4 vs. Control in LNCaP grown in culture, or in nude mice as primary orthotopic tumors or lymph node metastases

Publication Title

A genome-wide RNAi screen identifies FOXO4 as a metastasis-suppressor through counteracting PI3K/AKT signal pathway in prostate cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE37896
Expression data from iPSCs generated with Yamanaka factors and miR-302 cluster
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Baseline gene expression of adipose stem cell derived iPSCs generated by lentiviral Yamanaka 4 factors. We used microarrays to analyze the global gene expression of hACS derived iPSCs with KMOS and KMOS+miR-302.

Publication Title

MicroRNA-302 increases reprogramming efficiency via repression of NR2F2.

Sample Metadata Fields

Specimen part

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accession-icon SRP064809
Dynamics of the human and viral m6A RNA methylomes during HIV-1 infection of T cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Significance of RNA methylation in the context of HIV-1 infection in human T cells Overall design: MeRIP-Seq of Control and HIV-infected MT4 T-Cells

Publication Title

Dynamics of the human and viral m(6)A RNA methylomes during HIV-1 infection of T cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26669
Expression data of alloantigen stimulated splenocytes treated with leukocyte costimulatory blockade antibodies or no treatment
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To elucidate the gene expression footprint of antigenically challenged T-cells which had been treated with anti-LFA-1, CTLA4Ig, anti-CD40-ligand antibodies, we performed microarray gene expression analysis comparing the expression profile of costimulatory blockade treated and untreated responder T-cells.

Publication Title

Short-term immunosuppression promotes engraftment of embryonic and induced pluripotent stem cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP082406
Efficient derivation of microglia-like cells from human pluripotent stem cells
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Microglia-like cells and neural cells were generated from several hES and hIPS lines. As subset was characterized by RNA seq and compared to expression profiles of published primary and induced samples. ABSTRACT: Microglia, the only lifelong resident immune cells of the central nervous system (CNS), are highly specialized macrophages which have been recognized to play a crucial role in neurodegenerative diseases such as Alzheimer's, Parkinson's and Adrenoleukodystrophy (ALD). However, in contrast to other cell types of the human CNS, bona fide microglia have not yet been derived from cultured human pluripotent stem cells. Here we establish a robust and efficient protocol for the rapid production of microglia-like cells from human embryonic stem (ES) and induced pluripotent stem (iPS) cells that uses defined serum-free culture conditions. These in vitro pluripotent stem cell-derived microglia-like cells (termed pMGLs) faithfully recapitulate the expected ontogeny and characteristics of their in vivo counterparts and resemble primary fetal human and mouse microglia. We generated these cells from multiple disease-specific cell lines, and find that pMGLs derived from MeCP2 mutant hES cells are smaller than their isogenic controls. We further describe a culture platform to study integration and live behavior of pMGLs in organotypic 3D-cultures. This modular differentiation system allows the study of microglia in highly defined conditions, as they mature in response to developmentally relevant cues, and provides a framework to study the long-term interaction of microglia residing in a tissue-like environment. Overall design: Individual donors/genetic backgrounds. Dataset inlcudes 4 differentiated neural progenitor biological replicates (NPC1-4), 2 primary fetal microglia samples as reference, 5 induced microglia samples grown in basal medium (pMGL1-5), 3 induced microglia samples grown in neural conditioned medium (pMGL1-3+NCM)

Publication Title

Efficient derivation of microglia-like cells from human pluripotent stem cells.

Sample Metadata Fields

Subject

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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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