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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 GSE103340
Patient-derived xenograft model identifies clinically relevant subtype-specific features of colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Colorectal cancer (CRC) is a heterogeneous disease classified into four consensus molecular subtype (CMSs) with distinct biological and clinical features. This study aims to understand the value of patient-derived xenografts (PDXs) in relation to these CMSs. A total of 42 primary tumors, recurrences and metastases were used to develop PDXs. Detailed genetic analyses were performed on PDXs and corresponding patient tumors to determine relationship and PDX heterogeneity. Out of 42 tumors 22 (52%) showed successfully PDX engraftment, which was biased towards metastases and CMS1 and CMS4 tumors. Importantly, gene expression analysis revealed a clinical relevant association between an engraftment gene signature and prognosis for stage II patients. Moreover, this gene signature revealed an association between Src pathway activation and positive engraftment. Src pathway activity co-aligned with CMS4 and the levels of fibronectin in tumors and was confirmed by pSrc immunohistochemistry. From this analysis we further deduced that decreased cell cycle activity is a prognostic factor for successful engraftment and related to patient prognosis. However, this is not a general phenomenon, but subtype specific as decreased cell cycle activity was highly prognostic for recurrence-free survival within CMS2 but not in CMS1 and CMS4, while it showed an inverse correlation in CMS3. These data illustrate that CRC PDX establishment is biased toward CMS1 and CMS4, which impacts translation of results derived from pre-clinical studies using PDXs. Moreover, our analysis reveals subtype-specific features, pSrc in CMS4 and low Ki67 in CMS2, which provide novel avenues for therapy and diagnosis.

Publication Title

Capturing colorectal cancer inter-tumor heterogeneity in patient-derived xenograft (PDX) models.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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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 GSE79462
TGF signaling directs serrated adenomas to the mesenchymal colorectal cancer subtype
  • organism-icon Homo sapiens
  • sample-icon 36 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

TGFβ signaling directs serrated adenomas to the mesenchymal colorectal cancer subtype.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE79461
TGF signaling directs serrated adenomas to the mesenchymal colorectal cancer subtype [organoids]
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

The aim of this study was to determine the effects of TGF at the premalignant stage of CRC development.

Publication Title

TGFβ signaling directs serrated adenomas to the mesenchymal colorectal cancer subtype.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE79460
TGF signaling directs serrated adenomas to the mesenchymal colorectal cancer subtype [adenomas]
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Colorectal cancer can be divided into four consensus molecular subtypes, which might associate with distinct precursor lesions. The aim of this study was to determine the subtype affiliation of two types of colorectal adenomas: tubular adenomas (TAs) and sessile serrated adenomas (SSAs) and to determine the activity of TGF signaling and the role of this cytokine in subtype affiliation.

Publication Title

TGFβ signaling directs serrated adenomas to the mesenchymal colorectal cancer subtype.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE26869
Regulation of myogenic progenitor proliferation in human fetal skeletal muscle by BMP4 and its antagonist Gremlin.
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Analysis of the transcriptome of mononuclear side population (SP) and main population (MP) cells of human fetal skeletal muscle from 12 human subjects of gestational age 14-18 weeks.

Publication Title

Regulation of myogenic progenitor proliferation in human fetal skeletal muscle by BMP4 and its antagonist Gremlin.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE38290
Functional analysis of ABCB5 in melanoma cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Functional analysis of ABCB5 in A375 and G3361 melanoma cells, by comparing stably-transfected controls to ABCB5-shRNA-targeted cells.

Publication Title

ABCB5 maintains melanoma-initiating cells through a proinflammatory cytokine signaling circuit.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE29664
DNA microarray analysis and functional profile of pituitary transcriptome under core-clock protein BMAL1 control
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

To find BMAL1-regulated genes in mice pituitary gland we performed a differential microarray from wild-type vs Bmal1-/- knock-out mice

Publication Title

Chromatin remodeling as a mechanism for circadian prolactin transcription: rhythmic NONO and SFPQ recruitment to HLTF.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE100550
Consensus Molecular Subtypes of colorectal cancer are recapitulated in in vitro and in vivo models
  • organism-icon Homo sapiens
  • sample-icon 103 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

Consensus molecular subtypes of colorectal cancer are recapitulated in in vitro and in vivo models.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Cell line, Subject

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)

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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