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accession-icon GSE145120
Gene expression data of different SSc subsets
  • organism-icon Homo sapiens
  • sample-icon 190 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

We here used whole blood gene expression profiling to differentiate SSc patients from healthy controls (HC) and to identify a specific gene expression and predictive genes for SSc-overlap syndromes.

Publication Title

Whole blood gene expression profiling distinguishes systemic sclerosis-overlap syndromes from other subsets.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE65682
Genome-wide blood transcriptional profiling in critically ill patients - MARS consortium
  • organism-icon Homo sapiens
  • sample-icon 802 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

The host response in critically ill patients with sepsis, septic shock remains poorly defined. Considerable research has been conducted to accurately distinguish patients with sepsis from those with non-infectious causes of disease. Technological innovations have positioned systems biology at the forefront of biomarker discovery. Analysis of the whole-blood leukocyte transcriptome enables the assessment of thousands of molecular signals beyond simply measuring several proteins in plasma, which for use as biomarkers is important since combinations of biomarkers likely provide more diagnostic accuracy than the measurement of single ones or a few. Evidence suggests that genome-wide transcriptional profiling of blood leukocytes can assist in differentiating between infection and non-infectious causes of severe disease. Of importance, RNA biomarkers have the potential advantage that they can be measured reliably in rapid quantitative reverse transcriptase polymerase chain reaction (qRT-PCR)-based point of care tests.

Publication Title

A molecular biomarker to diagnose community-acquired pneumonia on intensive care unit admission.

Sample Metadata Fields

Sex, Age

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accession-icon GSE77908
Expression data from U-937 cells exposed to nanosecond duration electrical pulses
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

It is unclear how nanosecond electrical pulses affect gene expression.

Publication Title

Evaluation of the Genetic Response of U937 and Jurkat Cells to 10-Nanosecond Electrical Pulses (nsEP).

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE77907
Expression data from Jurkat Clone E-6 cells exposed to nanosecond duration electrical pulses
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

It is unclear how nanosecond electrical pulses affect gene expression.

Publication Title

Evaluation of the Genetic Response of U937 and Jurkat Cells to 10-Nanosecond Electrical Pulses (nsEP).

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE42069
Three human cell types respond to multi-walled carbon nanotubes and titanium dioxide nanobelts with cell-specific transcriptomic and proteomic expression
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Three human cell types respond to multi-walled carbon nanotubes and titanium dioxide nanobelts with cell-specific transcriptomic and proteomic expression patterns.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Time

View Samples
accession-icon GSE42068
Three human cell types respond to multi-walled carbon nanotubes and titanium dioxide nanobelts with cell-specific transcriptomic and proteomic expression [THP-1 cells]
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To identify key biological pathways that define toxicity or biocompatibility after nanoparticle exposure, three human cell types were exposed in vitro to two high aspect ratio nanoparticles for 1 hr or 24 hr and collected for global transcriptomics.

Publication Title

Three human cell types respond to multi-walled carbon nanotubes and titanium dioxide nanobelts with cell-specific transcriptomic and proteomic expression patterns.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Time

View Samples
accession-icon GSE42066
Three human cell types respond to multi-walled carbon nanotubes and titanium dioxide nanobelts with cell-specific transcriptomic and proteomic expression [Caco-2/HT29-MTX cells]
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To identify key biological pathways that define toxicity or biocompatibility after nanoparticle exposure, three human cell types were exposed in vitro to two high aspect ratio nanoparticles for 1 hr or 24 hr and collected for global transcriptomics.

Publication Title

Three human cell types respond to multi-walled carbon nanotubes and titanium dioxide nanobelts with cell-specific transcriptomic and proteomic expression patterns.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Time

View Samples
accession-icon GSE42067
Three human cell types respond to multi-walled carbon nanotubes and titanium dioxide nanobelts with cell-specific transcriptomic and proteomic expression [SAE cells]
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To identify key biological pathways that define toxicity or biocompatibility after nanoparticle exposure, three human cell types were exposed in vitro to two high aspect ratio nanoparticles for 1 hr or 24 hr and collected for global transcriptomics.

Publication Title

Three human cell types respond to multi-walled carbon nanotubes and titanium dioxide nanobelts with cell-specific transcriptomic and proteomic expression patterns.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Time

View Samples
accession-icon GSE51021
DKK1 expression is down-regulated in the lymph node pre-metastatic niche in esophageal cancer
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Lymph node metastasis is a poor prognosis indicator in esophageal cancer. Although tumor spreading currently forms the main basis for therapy selection, the molecular mechanisms underlying the metastatic pathway remain insufficiently understood. Several studies aimed to investigate these mechanisms but focused mainly on regulatory patterns in the tumors themselves and/or the invaded lymph nodes. To date no study has yet investigated the potential changes on transcription level, which take place within the yet non-invaded niche. Here we provide a comprehensive description of these regulations in patients. In this study the transcriptomic profiles of regional lymph nodes were determined for two patient groups: patients classified as pN1 (metastasis) or pN0 (no metastasis) respectively. All investigated lymph nodes, also those from pN1 patients, were still free of metastasis. The gene expression data was obtained via microarray analysis. Top candidates were validated via PCR and immunohistochemistry. The results show that regional lymph nodes of pN1 patients differ decisively from those of pN0 patients even before metastasis has taken place. In the pN0 group distinct immune response patterns were observed. In contrast, lymph nodes of the pN1 group exhibited a clear profile of reduced immune response and reduced proliferation, but increased apoptosis, enhanced hypoplasia and morphological conversion processes. DKK1 was the most significant gene associated with the molecular mechanisms taking place in lymph nodes of patients suffering from metastasis (pN1). We assume that the two molecular profiles observed constitute two different stages of a progressive disease. Finally we suggest that DKK1 might play an important role within the mechanisms leading to lymph node metastasis.

Publication Title

Molecular changes in pre-metastatic lymph nodes of esophageal cancer patients.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE46645
The Swi/Snf tumor suppressor complex establishes nucleosome occupancy at target promoters [expression]
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Precise nucleosome-positioning patterns at promoters are thought to be crucial for faithful transcriptional regulation. However, the mechanisms by which these patterns are established and dynamically maintained and subsequently contribute to transcriptional control are poorly understood. The Swi/Snf (Baf) chromatin remodeling complex is a master developmental regulator and tumor suppressor that is capable of mobilizing nucleosomes in biochemical assays. Yet, its role in establishing the nucleosome landscape in vivo is unclear. Here we have inactivated Snf5 and Brg1, core subunits of the mammalian Swi/Snf complex, to evaluate their effects on chromatin structure and transcription levels genome-wide. We find that inactivation of either subunit leads to disruptions of specific nucleosome patterning combined with a loss of overall nucleosome occupancy at a large number of promoters, regardless of their association with CpG islands. These rearrangements are accompanied by gene expression changes that promote cell proliferation. Collectively, these findings define a direct relationship between chromatin-remodeling complexes, chromatin structure, and transcriptional regulation.

Publication Title

Swi/Snf chromatin remodeling/tumor suppressor complex establishes nucleosome occupancy at target promoters.

Sample Metadata Fields

Specimen part

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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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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