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accession-icon GSE16461
Gene expression profile in CD4+ and CD8+ T cells from identical twins discordant for Multiple sclerosis
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To gain insight into the etiopathogenesis of Multiple sclerosis (MS) we investigated gene expression changes in CD4+ and CD8+ T lymphocytes from monozygotic twins (MZ) discordant for relapsing remitting MS.

Publication Title

CD161(high)CD8+T cells bear pathogenetic potential in multiple sclerosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE69991
No identical 'mesenchymal stem cells' at different times and sites: Human committed progenitors of distinct origin and differentiation potential are incorporated as adventitial cells in microvessels
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A widely shared view reads that 'MSCs' are ubiquitous in human connective tissues, can be defined by a common in vitro phenotype, share a skeletogenic potential as assessed by in vitro differentiation assays, and coincide with the ubiquitous 'pericytes.' Using stringent in vivo differentiation assays and transcriptome analysis, we show here that human cell populations from different anatomical sources, which would all be regarded as 'MSCs' based on these criteria and assumptions, actually differ widely in their transcriptomic signature and in vivo differentiation potential. In contrast, they share the capacity to guide the assembly of functional microvessels in vivo, regardless of their anatomical source, or in situ identity as perivascular or circulating cells. This analysis further reveals that muscle 'pericytes,' which are not spontaneously osteo-chondrogenic as previously claimed, may indeed coincide with an ectopic perivascular subset of committed myogenic cells similar to satellite cells. Cord blood-derived stromal cells, on the other hand, display the unique capacity to form cartilage in vivo spontaneously, in addition to an assayable osteogenic capacity. These data suggest the need to revise current misconceptions on the origin and function of so-called 'MSCs,' with important applicative implications. The data also support the view that rather than a uniform class of 'MSCs,' different mesoderm derivatives include distinct classes of tissue-specific committed progenitors, likely of different developmental origin.

Publication Title

No Identical "Mesenchymal Stem Cells" at Different Times and Sites: Human Committed Progenitors of Distinct Origin and Differentiation Potential Are Incorporated as Adventitial Cells in Microvessels.

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-146
Transcription profiling of human NHEK cells response to 2mM N-Acetyl-L-cystein (NAC) treatment - 1,12, 24 hour time-series
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

NHEK cells were plated at a density of 8 x 10 000/cm2 and the cell cultures were grown for 24 hours before addition of 2 mM N-Acetyl-L-Cystein. RNA obtained from cultures grown for 1, 12 and 24 hrs after NAC treatment were compared to RNA from untreated cells at the corresponding time points. I.e 1 hour NAC treated vs 1 hour untreated cells etc. Each EXTRACT represents an individual mRNA extraction and subsequent cDNA synthesis from a batch of totalRNA originating from one cellculture dish.

Publication Title

Global gene expression analysis in time series following N-acetyl L-cysteine induced epithelial differentiation of human normal and cancer cells in vitro.

Sample Metadata Fields

Specimen part, Subject, Compound, Time

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accession-icon E-MEXP-147
Transcription profiling of human colon carcinoma cells Caco-2 response to N-acetyl-L-cystein (10 mM) (1,12 and 24 hour time-series)
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Caco-2 human colon carcinoma cells were seeded at a density of 9 x 10 000 cells/cm2 and the cell cultures were grown for 24 hours before addition of 10 mM N-Acetyl-L-Cystein. RNA obtained from cultures grown for 1, 12 and 24 hrs after NAC treatment were compared to RNA from untreated cells at the corresponding time points. I.e 1 hour NAC treated vs 1 hour untreated cells etc. Each "SAMPLE" represents a biological replicate (i.e. separate cellcultures treated similarily) although I have given identical SAMPLE numbers in pairs.

Publication Title

Global gene expression analysis in time series following N-acetyl L-cysteine induced epithelial differentiation of human normal and cancer cells in vitro.

Sample Metadata Fields

Specimen part, Cell line, Subject, Compound, Time

View Samples
accession-icon GSE77416
Deciphering KRAS and NRAS mutated clones dynamics in MLL-AF4 pediatric leukemia by ultra deep sequencing analysis
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We studied the KRAS and NRAS mutational status in pediatric MLL-AF4+ leukemia patients by means of ultra deep amplicon sequencing. The gene expression profiles of RAS wild type and RAS mutated patients were investigated by gene expression analysis. We showed that mutated patients were characterized by a RAS related expression signature.

Publication Title

Deciphering KRAS and NRAS mutated clone dynamics in MLL-AF4 paediatric leukaemia by ultra deep sequencing analysis.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE6291
Transcriptome Analysis Multipotent Adult Progenitor Cells (Affy)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We compare the transcriptome of two different clones of multipotent adult progenitor cells (MAPCs) using Affymetrix arrays.

Publication Title

Hematopoietic reconstitution by multipotent adult progenitor cells: precursors to long-term hematopoietic stem cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP068007
Pancreas lineage allocation and specifciation are regulated by sphingosine-1-phosphate signalling
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Identifying the signals that regulate the survival, lineage allocation and specification of pancreas progenitors will help elucidate the embryonic origins of pancreas dysfunction and provide important cues for the efficient conversion of pluripotent stem cells into fully functional ß cells. Several transcription factors regulating the conversion of the early pancreatic progenitors into terminally differentiated cells have been identified but extracellular signals regulating pancreas development are less well understood. Using a combination of genetic approaches, organotypic cultures of embryonic pancreata and genomics we have found that sphingosine-1-phosphate signalling through plays a key role in this process. S1p signalling stabilizes the Hippo pathway effector YAP to promote progenitor survival, acinar and endocrine specification. Endocrine cell specification relies on Gai subunits revealing an unexpected dependence of lineage specification on selected intracellular signalling components. Independently of YAP stabilization, S1p signalling attenuates Notch levels, thus regulating lineage allocation. These findings identify S1p signalling as a key pathway coordinating cell survival, lineage allocation and specification during pancreas development. Overall design: Analysis was carried out at 14.5 dpc embryonic pancreata and in 14.5 dpc embryonic pancreata that have been cultured in air to liquid interface cultures for two days (14.5 + 2). For the 14.5 dpc analysis wild type (14.5 wt) and S1pr2 null (14.5 S1pr2 null) pancreata were analyzed. For the analysis of cultured embryonic pancreata, conditions used were either standard conditions (14.5 + 2) or in the presence of 15 uM of JTE013 (14.5 + 2 + JTE) or in the presence of 15 uM of JTE013 and 50 ng/ml CTGF (14.5 + 2 + JTE + CTGF). Three biological replicates were used for each stage/condition for a total of 15 samples.

Publication Title

Pancreas lineage allocation and specification are regulated by sphingosine-1-phosphate signalling.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP080956
The spectrum and regulatory landscapes of intestinal innate lymphoid cells are shaped by the microbiome (single cells)
  • organism-icon Mus musculus
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Innate lymphoid cells (ILCs) are critical modulators of mucosal immunity, inflammation, and tissue homeostasis, but their full spectrum of cellular states and regulatory landscapes remain elusive. Here, we use a combination of genome-wide RNA-seq, ChIP-seq and ATAC-seq to compare the transcriptional and epigenetic identity of small intestinal ILCs, identifying thousands of distinct gene profiles and regulatory elements. Single-cell RNA-seq, cytometry, and imaging analyses reveal functional compartmentalization of cytokine expression and metabolic activity within the three classical ILC subtypes, and highlight transcriptional states beyond the current canonical classification. In addition, using antibiotic intervention and germ-free mice, we characterize the effect of the microbiome on the ILC regulatory landscape, and determine the response of ILCs to microbial colonization at the single-cell level. Together, our work characterizes the spectrum of transcriptional identities of small intestinal ILCs and describes how ILCs differentially integrate signals from the microbial microenvironment to generate phenotypic and functional plasticity. Overall design: ILC1(CD45+CD3-CD19-GR1-B220-CD127+ROR?t-NkP46+), ILC2(CD45+CD3-CD19-GR1-B220-CD127+ROR?t-KLRG1+) and ILC3(CD45+CD3-CD19-GR1-B220-CD127+ROR?t+) were isolated from small intestine lamina propria of WT C57Bl/6 ROR?t-GFP mice, or antibiotics treated mice (vancomycin, ampicillin,kanamycin, and metronidazole)

Publication Title

The Spectrum and Regulatory Landscape of Intestinal Innate Lymphoid Cells Are Shaped by the Microbiome.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE26158
Modulation of mRNA in human T-cell development
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Modulation of microRNA expression in human T-cell development: targeting of NOTCH3 by miR-150.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26156
Modulation of mRNA in human T-cell development (expression)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression of Double Positive, and Single Positive CD4+ human thymocytes

Publication Title

Modulation of microRNA expression in human T-cell development: targeting of NOTCH3 by miR-150.

Sample Metadata Fields

No sample metadata fields

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)

fund-icon Fund the CCDL

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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