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accession-icon GSE27149
Expression data from murine vaginal samples following adjuvant treatment
  • organism-icon Mus musculus
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Vaccine research today is focused on using safer, highly purified or recombinant antigens with poor immunogenicity, which has created a need for potent adjuvants. Rational design of effective and safe mucosal adjuvants for human use necessitates a thorough understanding of the mode of action of successful candidate adjuvants.

Publication Title

Unraveling molecular signatures of immunostimulatory adjuvants in the female genital tract through systems biology.

Sample Metadata Fields

Sex, Treatment

View Samples
accession-icon SRP069029
PROP1 triggers epithelial-mesenchymal transition-like process in pituitary stem cells [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 144 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Mutations in PROP1 are the most common cause of hypopituitarism in humans; therefore, unraveling its mechanism of action is highly relevant from a therapeutic perspective. Our current understanding of the role of PROP1 in the pituitary gland is limited to the regulation of pituitary transcription factors Hesx1 and Pit1. To elucidate the comprehensive PROP1-dependent gene regulatory network, we conducted genome wide analysis of PROP1 DNA binding and effects on gene expression in mutant tissues, isolated stem cells and engineered cell lines. We determined that PROP1 is essential for maintaining proliferation of stem cells and stimulating them to undergo an epithelial to mesenchymal transition-like process necessary for cell migration and differentiation. Genomic profiling reveals that PROP1 binds to and represses claudin 23, characteristic of epithelial cells, and it activates EMT inducer genes: Zeb2, Notch2 and Gli2. Our findings identify PROP1 as a central transcriptional component of pituitary stem cell differentiation. Overall design: Pituitary Colony forming cells mRNA of 13-day old wild type (Prop1 +/+), Prop1 mutants (Prop1df/df), wild type (Pit1+/+) and Pit1 mutants (Pit1 dw/dw) mice were generated by deep sequencing, in triplicates.

Publication Title

PROP1 triggers epithelial-mesenchymal transition-like process in pituitary stem cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE10422
Traf2 and Traf3 B cell knockout mice and Baff tg mice - gene expression in lymph node B cells
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Tumor necrosis factor-associated factors 2 and 3 (TRAF2 and TRAF3) were shown to function in a co-operative and non-redundant manner to suppress nuclear factor-B2 (NF-B2) activation, gene expression and survival in mature B cells. In the absence of this suppressive activity, B cells developed independently of the obligatory B cell survival factor, BAFF (B cell activating factor of the tumor necrosis factor family). This constitutive, lineage-specific suppression of B cell survival by TRAF2 and TRAF3 determines the requirement for BAFF to sustain B cell development in vivo. We wished to investigate the effect on gene expression in B cells which lacked the negative regulators TRAF2 and TRAF3, and hence had hyperactive NF-kB2 signalling. As Baff-tg mice display a similar phenotype, and have a genetic modification which acts in the same pathway, yet further up, than TRAF2 and TRAF3, we wished to compare and contrast Baff-tg B cells with TRAF2 and TRAF3 deficient B cells. This analysis should identify genes that are important in B cell survival.

Publication Title

TRAF2 and TRAF3 signal adapters act cooperatively to control the maturation and survival signals delivered to B cells by the BAFF receptor.

Sample Metadata Fields

Sex, Age

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accession-icon GSE24892
Nuclear receptors Nur77 and Nurr1 modulate mesenchymal stromal cell migration
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Expression analysis of migrating and non-migrating mesenchymal stromal cells (MSC) in fetal bone marrow

Publication Title

Nuclear receptors Nur77 and Nurr1 modulate mesenchymal stromal cell migration.

Sample Metadata Fields

Specimen part

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accession-icon GSE8187
Adaptation of S. cerevisiae to fermentative conditions
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

The capacity of respiring cultures of Saccharomyces cerevisiae to instantaneously switch to fast alcoholic fermentation upon a transfer to anaerobic sugar-excess conditions is a key characteristic of Saccharomyces cerevisiae in many of its industrial applications. This transition was studied by exposing aerobic glucose-limited chemostat cultures grown at a low specific growth rate to two simultaneous perturbations: oxygen depletion and relief of glucose limitation. This shift towards fully fermentative conditions caused a massive transcriptional response, where one third of all genes within the genome were transcribed differentially. During the first 30 min, most of these changes were driven by relief from glucose limitation. An anaerobic induction response was only observed after the initial response to glucose excess. By comparing this study with public datasets representing dynamic and steady conditions, 14 up-regulated and 11 down-regulated genes were determined to be anaerobiosis specific and can therefore be use as signature transcripts for anaerobicity under dynamic as well as under steady state conditions

Publication Title

New insights into the Saccharomyces cerevisiae fermentation switch: dynamic transcriptional response to anaerobicity and glucose-excess.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9644
Glucose Pulse to sfp1delta continuous cultures
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

The Saccharomyces cerevisiae SFP1 is required for proper regulation of ribosome biogenesis and cell size in response to nutrients. A mutant deleted for SFP1 shows specific traits among which a slow growth phenotype, which is particularly evident during growth on glucose. To assess the effects of nutrients on the activity of Sfp1 independent by growth rate related feedback we grew an sfp1 mutant and its isogenic reference strain in chemostat cultures, at the same specific growth rate, under glucose/ethanol-limitation. Our data show that Sfp1 is involved in the modulation of cell size and RiBi gene expression and that these two functions are differently influenced by nutrients.

Publication Title

Saccharomyces cerevisiae SFP1: at the crossroads of central metabolism and ribosome biogenesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE29832
Expression data from pure/mixed blood and breast to test feasability of deconvolution of clinical samples
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Samples collected from human subjects in clinical trials possess a level of complexity, arising from multiple cell types, that can obfuscate the analysis of data derived from them. Blood, for example, contains many different cell types that are derived from a distinct lineage and carry out a different immunological purpose. Failure to identify, quantify, and incorporate sources of heterogeneity into an analysis can have widespread and detrimental effects on subsequent statistical studies.

Publication Title

Optimal deconvolution of transcriptional profiling data using quadratic programming with application to complex clinical blood samples.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP162513
Single-cell RNA sequencing reveals novel markers of pituitary stem cells and hormone-producing cell-types
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Transcription factors and signaling pathways that regulate stem cells and specialized hormone-producing cells in the pituitary gland have been the subject of intense study and have yielded a mechanistic understanding of pituitary organogenesis and disease. Yet, the regulation of stem cell proliferation and differentiation, the heterogeneity among specialized hormone-producing cells, and the role of non-endocrine cells in the gland remain important, unanswered questions. Recent advances in single-cell RNA sequencing (scRNAseq) technologies provide new avenues to address these questions. We  performed scRNAseq on approximately 13,663 cells pooled from six whole pituitary glands of 7-week-old C57BL/6 male mice. We identified pituitary endocrine and stem cells in silico, as well as other support cell-types such as endothelia, connective tissue, and red and white blood cells. Differential gene expression analyses identify known and novel markers of pituitary endocrine and stem cell populations. We demonstrate the value of scRNAseq by in vivo validation of a novel gonadotrope-enriched marker, Foxp2. We present novel scRNAseq data of in vivo pituitary tissue, including data from agnostic clustering algorithms which suggest the presence of a somatotrope subpopulation enriched in sterol/cholesterol synthesis genes. At the same time, we show that incomplete transcriptome annotation can cause false negatives on some scRNAseq platforms that only generate 3' transcript end sequences, and use in vivo data to recover reads of the pituitary transcription factor Prop1. Ultimately, scRNAseq technologies represent a significant opportunity to address longstanding questions regarding the development and function of the different populations of the pituitary gland throughout life. Overall design: 10x Chromium single-cell RNAseq of cells from pituitary glands of 7-week-old male C57BL/6 mice

Publication Title

Single-Cell RNA Sequencing Reveals Novel Markers of Male Pituitary Stem Cells and Hormone-Producing Cell Types.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE41768
PTP1B deficiency effect on mammary gland development and differentiation
  • organism-icon Mus musculus
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Analysis of protein tyrosine phosphatase 1B (PTP1B) deficient mammary glands from nulliparous mice at estrous and pregnancy day 3, 7, 10 and 15. We used a genetically ablated PTP1B mouse model to gain a deeper knowledge of the role PTP1B plays in mammary gland development and to define the mechanism regulated by this phosphatase.

Publication Title

Protein tyrosine phosphatase 1B restrains mammary alveologenesis and secretory differentiation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE30683
ETV5 Mediated Downstream Gene Activation in Spermatogonial Stem Cells
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Insight into mechanisms controlling gene expression in the spermatogonial stem cell (SSC) will improve our understanding of the processes regulating spermatogenesis and aid in treating problems associated with male infertility.

Publication Title

Spermatogonial stem cell self-renewal requires ETV5-mediated downstream activation of Brachyury in mice.

Sample Metadata Fields

Specimen part, Treatment

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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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