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accession-icon SRP186903
Profiling the transcriptome of human thymic epithelial cell subsets
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

RNA-seq libraries were generated on thymic epithelial cell (TEC) subsets from thymic samples (11 days to 3 months of age). Cells were sorted to isolate cortical TEC (cTEC), MHC low medullary TEC (mTEClo) and MHC high medullary TEC (mTEChi). Between 7,575 and 50,000 cells were isolated for each sample. TEC were isolated using CD45 MACS depletion followed by the sorting protocol described in Stoeckler et al. J Vis Exp 2013 (PMID 24084687; doi: 10.3791/50951). The study has been granted ethical approval and is publicly listed (IRAS ID 156910, CPMS 19587). Overall design: 1 sample for each of cTEC, mTEClo and mTEChi were generated on a total of 3 individuals (~50,000 cells per sample) and 3 replicates for each of cTEC, mTEClo and mTEChi were generated on 1 individual (7,575 cells per sample)

Publication Title

Keratinocyte growth factor impairs human thymic recovery from lymphopenia.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE79196
Gene expression profiling signatures allow the identification of unclassifiable leukemic B-cell lymphoid neoplasms
  • organism-icon Homo sapiens
  • sample-icon 186 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression analysis of different B-cell chronic lymphoproliferative disorders

Publication Title

Improved classification of leukemic B-cell lymphoproliferative disorders using a transcriptional and genetic classifier.

Sample Metadata Fields

Specimen part

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accession-icon GSE69430
Control of stomach smooth muscle development and intestinal rotation by transcription factor BARX1
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Diverse functions of the homeodomain transcription factor BARX1 include Wnt-dependent, non-cell autonomous specification of the stomach epithelium, tracheo-bronchial septation, and Wnt-independent expansion of the spleen primordium. Tight spatio-temporal regulation of Barx1 levels in the mesentery and stomach mesenchyme suggests additional roles. To determine these functions, we forced constitutive BARX1 expression in the Bapx1 expression domain, which includes the mesentery and intestinal mesenchyme, and also examined Barx1-/- embryos in further detail. Transgenic embryos invariably showed intestinal truncation and malrotation, in part reflecting abnormal left-right patterning. Ectopic BARX1 expression did not affect intestinal epithelium, but intestinal smooth muscle developed with features typical of the stomach wall. BARX1, which is normally restricted to the developing stomach, drives robust smooth muscle expansion in this organ by promoting proliferation of myogenic progenitors at the expense of other sub-epithelial cells. Undifferentiated embryonic stomach and intestinal mesenchyme showed modest differences in mRNA expression and BARX1 was sufficient to induce much of the stomach profile in intestinal cells. However, limited binding at cis-regulatory sites implies that BARX1 may act principally through other transcription factors. Genes expressed ectopically in BARX1+ intestinal mesenchyme and reduced in Barx1-/- stomach mesenchyme include Isl1, Pitx1, Six2 and Pitx2, transcription factors known to control left-right patterning and influence smooth muscle development. The sum of evidence suggests that potent BARX1 functions in intestinal rotation and stomach myogenesis occur through this small group of intermediary transcription factors.

Publication Title

Control of stomach smooth muscle development and intestinal rotation by transcription factor BARX1.

Sample Metadata Fields

Specimen part

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accession-icon SRP186498
Transcriptional characterization of visceral adipose tissue (VAT) mesenchymal stromal cell (mSC) subtypes in male and female C57BL/6 mice.
  • organism-icon Mus musculus
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Regulatory T cells (Tregs) are key brakes on the VAT inflammation that regulates local and systemic metabolic tenor. The cytokine, IL-33, expands and sustains the unique Treg population residing within VAT. Making use of single-cell RNA sequencing, we identified the major IL-33 producers in VAT to be particular mSC subtypes, related to but distinct from adipocyte progenitor cells. We further characterize these subsets by individually isolating them and performing bulk-RNA sequencing. We explored modulation of the VAT-mSC (VmSC) landscape with physiologic variables such as age and sex, as well as pathogenic states like obesity. We uncovered a VAT Treg:stromal-cell negative regulatory loop that keeps the potent effect of IL-33 under rein. Overall design: Gene expression profiles of VmSC subtypes from young male and female mice. 2-4 mice were pooled for each biological replicate and at least 2 biological replicates were obtained per VmSC subtype.

Publication Title

Distinct immunocyte-promoting and adipocyte-generating stromal components coordinate adipose tissue immune and metabolic tenors.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE17407
Microarray analysis to identify the molecular mechanisms whereby pDCs confer growth and drug resistance in MM cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Multiple Myeloma (MM) remains incurable despite novel therapies, suggesting the need for further identification of factors mediating tumorigenesis and drug resistance. We performed microarray analysis to identify the molecular mechanisms whereby pDCs confer growth and drug resistance in MM cells.

Publication Title

Functional interaction of plasmacytoid dendritic cells with multiple myeloma cells: a therapeutic target.

Sample Metadata Fields

Cell line

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accession-icon SRP058190
Next Generation Sequencing (NGS) comparison of two MVT1 cells subpopulations, CD24- cells and CD24+ cells
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The goal of this study is to compare the transcriptome of the 2 MVT1 subpopulations in order to identify new genes and pathways that stands beyond the CD24+ aggressive phenotype Overall design: mRNA profiles of CD24- and CD24+ cells were generated by deep sequencing, in triplicate, using Illumina HiSeq 2500

Publication Title

Deep sequencing of mRNA in CD24(-) and CD24(+) mammary carcinoma Mvt1 cell line.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16915
Bio-electrospraying the nematode Caenorhabditis elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Bio-electrospray, the direct jet-based cell handling apporach, is able to handle a wide range of cells. Studies at the genomic, genetic, and the physiological level have shown that, post-treatment, cellular integrity is unperturbed and a high percentage (>70%, compared to control) of cells remain viable. Although, these results are impressive, it may be argued that cell based systems are oversimplistic. This study utilizing a well characterised multicellular model organism, the non-parasitic nematode Caenorhabditis elegans. Nematodes were subjected to bio-electrosprays to demonstrate that bio-electrosprays can be safely applied to nematodes.

Publication Title

Bio-electrospraying the nematode Caenorhabditis elegans: studying whole-genome transcriptional responses and key life cycle parameters.

Sample Metadata Fields

Specimen part

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accession-icon GSE9388
VS94 SAPI AI-2 Temporal study
  • organism-icon Escherichia coli
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

VS94 gene expression at different time-points in SAPI medium in absence and presence of AI-2 was studied.

Publication Title

Temporal regulation of enterohemorrhagic Escherichia coli virulence mediated by autoinducer-2.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP092054
Transcriptomic screen to identify genes regulated by Store-operated calcium entry in Drosophila pupal nervous system
  • organism-icon Drosophila melanogaster
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptional regulation by Store-operated Calcium Entry (SOCE) is well studied in non-excitable cells. However, the role of SOCE has been poorly documented in neuronal cells with more complicated calcium dynamics. Previous reports demonstrated a requirement of neuronal SOCE for Drosophila flight. We identified the early pupal stage to be critical and used RNA-sequencing to identify SOCE mediated gene expression changes in the developing Drosophila pupal nervous system. We down-regulated dStim, the endoplasmic reticular calcium sensor and a principal component of SOCE in the nervous system for a 24h period during pupal development, and compared wild type and knockdown transcriptional profiles, immediately after knockdown as well as after a 36h recovery period. We found that dStim knockdown altered the expression of a number of genes. We also characterized one of the down-regulated genes, Ral for its role in flight. Thus, we identify neuronal SOCE as a mechanism that regulates expression of a number of genes during the development of the pupal nervous system. These genes can be further studied in the context of pupal nervous system development. Overall design: mRNA sequencing from two biological replicates each of wild type and dStim knockdown pupal brains at two time points - 36h APF (post 24h knockdown) and at 72h APF (Post knockdown and recovery)

Publication Title

A pupal transcriptomic screen identifies Ral as a target of store-operated calcium entry in Drosophila neurons.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP042031
Modulation of the TNF-induced macrophage response by synovial fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Here we explored how the human macrophage response to tumor necrosis factor (TNF) is regulated by human synovial fibroblasts, the representative stromal cell type in the synovial lining of joints that become activated during inflammatory arthritis. Genome-wide transcriptome analysis (RNAseq) showed that co-cultured synovial fibroblasts modulate the expression of approximately one third of TNF-inducible genes in macrophages, including expression of target genes in pathways important for macrophage survival and polarization towards an alternatively activated phenotype. This work furthers our understanding of the interplay between innate immune and stromal cells during an inflammatory response, one that is particularly relevant to inflammatory arthritis. Our findings also identify modulation of macrophage phenotype as a new function for synovial fibroblasts that may prove to be a contributing factor in arthritis pathogenesis. Overall design: Human CD14+ MCSF-differentiated macrophages were cultured with or without synovial fibroblasts in transwell chambers. TNF was added at Day 0, macrophages were harvested at Day 2. Total of 4 samples: (1) macrophages alone (2) macrophages with fibroblasts (3) macrophages with TNF (4) macrophages with fibroblasts and TNF. Macrophage RNA was purified using RNeasy mini kit (Qiagen). Tru-seq sample preparation kits (Illumina) were used to purify poly-A transcripts and generate libraries with multiplexed barcode adaptors. All samples passed quality control on a Bioanalyzer 2100 (Agilent). Paired-end reads (50 x 2 cycles, ~75x106 reads per sample) were obtained on an Illumina HiSeq 2500. The TopHat program was used to align the reads to the UCSC Hg19 human reference genome, while the Cufflinks program allowed for measurements of transcript abundance (represented by Fragments Per Kilobase of exon model per Million mapped reads (FPKM)).

Publication Title

Modulation of TNF-induced macrophage polarization by synovial fibroblasts.

Sample Metadata Fields

No sample metadata fields

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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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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