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accession-icon GSE9665
Pairing competitive and topologically distinct regulatory modules enhances patterned gene expression
  • organism-icon Caenorhabditis elegans
  • sample-icon 74 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Biological networks are inherently modular, yet little is known about how modules are assembled to enable coordinated and complex functions. We used RNAi and time-series, whole-genome microarray analyses to systematically perturb and characterize components of a C. elegans lineage-specific transcriptional regulatory network. These data are supported by select reporter gene analyses and comprehensive yeast-one-hybrid and promoter sequence analyses. Based on these results we define and characterize two modules composed of muscle- and epidermal-specifying transcription factors that function together within a single cell lineage to robustly specify multiple cell types. The expression of these two modules, although positively regulated by a common factor, is reliably segregated among daughter cells. Our analyses indicate that these modules repress each other, and we propose that this cross-inhibition coupled with their relative time of induction function to enhance the initial asymmetry in their expression patterns, thus leading to the observed invariant gene expression patterns and cell lineage. The coupling of asynchronous and topologically distinct modules may be a general principle of module assembly that functions to potentiate genetic switches.

Publication Title

Pairing of competitive and topologically distinct regulatory modules enhances patterned gene expression.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE19830
Expression data from pure/mixed brain, liver and lung to test feasability and sensitivity of statistical deconvolution
  • organism-icon Rattus norvegicus
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Tissues are often made up of multiple cell-types. Blood, for example, contains many different cell-types, each with its own functional attributes and molecular signature. In humans, because of its accessibility and immune functionality, blood cells have been used as a source for RNA-based biomarkers for many diseases. Yet, the proportions of any given cell-type in the blood can vary markedly, even between normal individuals. This results in a significant loss of sensitivity in gene expression studies of blood cells and great difficulty in identifying the cellular source of any perturbations. Ideally, one would like to perform differential expression analysis between patient groups for each of the cell-types within a tissue but this is impractical and prohibitively expensive.

Publication Title

Cell type-specific gene expression differences in complex tissues.

Sample Metadata Fields

Specimen part

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accession-icon GSE20300
Whole blood gene expression analysis of stable and acute rejection pediatric kidney transplant patients
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Full title: Expression data from whole blood gene expression analysis of stable and acute rejection pediatric kidney transplant patients

Publication Title

Cell type-specific gene expression differences in complex tissues.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE114764
UV-protection timer controls a trade-off between skin protection systems
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman)

Description

Tanning is a skin protection mechanism against UV radiation. Pigment production initiates hours after exposure, and the mechanism controlling this delay was unknown. Here we reveal a skin UV-protection timer, governed by damped oscillatory dynamics of the melanocyte master regulator, MITF, which after UV exposure, synchronizes regulatory programs, first cell survival and later pigmentation. Remarkably, the same amount of UV dosage resulted in higher pigmentation of human skin when given every-other day compared to daily exposure. Daily UV exposure appears to perturb MITF dynamics, thus re-ordering the survival and pigmentation programs. This demonstrates that the skin is more sensitive to frequency than quantity of UV exposure. Mathematical modeling identified a double negative regulatory loop involving HIF1a and microRNA-148a that regulates MITF dynamics. Our study suggests evolutionary leverage of the UV-protection timer, as it evolved to induce maximum protection with minimum damage for the reduction of skin cancer risk.

Publication Title

UV-Protection Timer Controls Linkage between Stress and Pigmentation Skin Protection Systems.

Sample Metadata Fields

Time

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accession-icon GSE74817
Time Course of Adults Vaccinated with Influenza TIV Vaccine 2009-2012
  • organism-icon Homo sapiens
  • sample-icon 615 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE74813
Time Course of Adults Vaccinated with Influenza TIV Vaccine during 2010/11 Flu Season (HIPC cohort)
  • organism-icon Homo sapiens
  • sample-icon 284 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Systems approaches have been used to describe molecular signatures driving immunity to influenza vaccination in humans.

Publication Title

Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE74816
Time Course of Adults Vaccinated with Influenza TIV Vaccine during 2011/12 Flu Season
  • organism-icon Homo sapiens
  • sample-icon 177 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Systems approaches have been used to describe molecular signatures driving immunity to influenza vaccination in humans.

Publication Title

Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE74815
Time Course of Adults Vaccinated with Influenza TIV Vaccine during 2010/11 Flu Season (FluCenter cohort)
  • organism-icon Homo sapiens
  • sample-icon 73 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Systems approaches have been used to describe molecular signatures driving immunity to influenza vaccination in humans.

Publication Title

Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE74811
Time Course of Adults Vaccinated with Influenza TIV Vaccine during 2009/10 Flu Season
  • organism-icon Homo sapiens
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Systems approaches have been used to describe molecular signatures driving immunity to influenza vaccination in humans.

Publication Title

Systems Analysis of Immunity to Influenza Vaccination across Multiple Years and in Diverse Populations Reveals Shared Molecular Signatures.

Sample Metadata Fields

Specimen part, Subject, Time

View Samples
accession-icon GSE96733
Ubc9 overexpression and SUMO1 deficiency blunt inflammation after intestinal ischemia/reperfusion.
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Clariom S Array (clariomsmouse)

Description

The intestinal epithelium constitutes a crucial defense to the potentially life-threatening effects of gut microbiota. However, due to a complex underlying vasculature, hypoperfusion and resultant tissue ischemia pose a particular risk to function and integrity of the epithelium. The small ubiquitin-like modifier (SUMO) conjugation pathway critically regulates adaptive responses to metabolic stress and is of particular significance in the gut, as inducible knockout of the SUMO-conjugating enzyme Ubc9 results in rapid intestinal epithelial disintegration. Here we analyzed the pattern of individual SUMO isoforms in intestinal epithelium and investigated their roles in intestinal ischemia/reperfusion (I/R) damage. Immunostaining revealed that epithelial SUMO2/3 expression was almost exclusively limited to crypt epithelial nuclei in unchallenged mice. However, intestinal I/R or overexpression of Ubc9 caused a remarkable enhancement of epithelial SUMO2/3 staining along the crypt-villus axis. Unexpectedly, a similar pattern was found in SUMO1 knockout mice. Ubc9 transgenic mice, but also SUMO1 knockout mice were protected from I/R injury as evidenced by better preserved barrier function and blunted inflammatory responses. PCR array analysis of microdissected villus-tip epithelia revealed a specific epithelial contribution to reduced inflammatory responses in Ubc9 transgenic mice, as key chemotactic signaling molecules such as IL17A were significantly downregulated. Together, our data indicate a critical role particularly of the SUMO2/3 isoforms in modulating responses to I/R and provide the first evidence that SUMO1 deletion activates a compensatory process that protects from ischemic damage.

Publication Title

Ubc9 overexpression and SUMO1 deficiency blunt inflammation after intestinal ischemia/reperfusion.

Sample Metadata Fields

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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