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accession-icon GSE33371
Beta-catenin status effects in human adrenocortical carcinomas (33), adenomas (22), and normal adrenal cortex (10)
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We scored adrenocortical carcinomas and adenomas for abnormal beta-catenin staining, and sequenced the beta-catenin gene in some samples. We compared adrenocortincal carcinomas with and without abnormal beta-catenin staining and found many significant expression differences and significant results from enrichment testing. A similar comparison in the adenomas gave relatively few differences, and they did not correlate to differences found for the carcinomas. Abnormal beta-catenin staining was associated with mitotic rate and poorer patient survival in the carcinomas. In a second independent data set (given in a supplement) we again found beta-catenin associated with poor survival. The array data given is the same as GEO series GSE10927, with additional characteristics about beta-catenin, and new patient followup data. The analysis shown in a supplementary Excel file is also new.

Publication Title

Progression to adrenocortical tumorigenesis in mice and humans through insulin-like growth factor 2 and β-catenin.

Sample Metadata Fields

Sex, Age

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accession-icon SRP132709
Whole blood transcriptome analysis of Septic shock patients according to early therapy response
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Illumina HiSeq 2500

Description

Septic shock is the most severe complication of sepsis, associated with high mortality. The patient's response to supportive therapy is very heterogeneous and the underlying mechanisms are still elusive. In order to identify which are the actors (genes and pathways) that play a role in establishing the response, we investigate the whole blood transcriptome in septic shock patients with positive and negative responses to early supportive hemodynamic therapy, assessed by changes in SOFA scores within the first 48 hours from ICU admission. We pinpointed genes and pathways that are differently modulated and enriched respectively within 48hrs between responders and non-responders. Overall design: We analyzed 31 patients (17 Responders and 14 Not Responders to early therapy). For each patient, 2 samples were collected. In particular the first sample (T1) collected within 16 hours from ICU admission whereas the second (T2) collected within 48 hours from ICU admission. Experimental groups (Responders and Not Responders) are defined accordingly with SOFA scores improvements within 48 hours.

Publication Title

Identification of a transcriptome profile associated with improvement of organ function in septic shock patients after early supportive therapy.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE32903
Smad4 and Trim33 dependend nodal/activin responsive genes in differentiated mouse ESCs
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In differentiated mouse ESCs, most of the nodal/activin responsive genes are dependent on both Smad4 and Trim33, some are solely dependent on Smad4, and some are dependent on Trim33.

Publication Title

A poised chromatin platform for TGF-β access to master regulators.

Sample Metadata Fields

Specimen part

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accession-icon GSE15583
Neuroblastoma cell lines under normoxic and hypoxic conditions
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hypoxia is a low oxygen condition that occurs in the developing tumor mass and that is associated with poor prognosis and resistance to chemo- and radio-therapy. The definition of the hypoxia gene signature is fundamental for the understanding of tumor biology, as in the case of neuroblastoma, the most common pediatric solid tumor. The issue of identifying a significant group of variables in microarray gene expression experiments is particularly difficult due to the typical high dimensional nature of the data and great effort has been spent in the development of feature selection techniques.

Publication Title

The l1-l2 regularization framework unmasks the hypoxia signature hidden in the transcriptome of a set of heterogeneous neuroblastoma cell lines.

Sample Metadata Fields

Cell line

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accession-icon GSE45516
Expression data from human Huntington fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profile comparison from fibroblasts of Huntington individuals and normal ones

Publication Title

Gene expression profile in fibroblasts of Huntington's disease patients and controls.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE17714
11 Neuroblastoma cell lines under normoxic and hypoxic conditions
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hypoxia is a low oxygen condition that occurs in the developing tumor mass and that is associated with poor prognosis and resistance to chemo- and radio-therapy. The definition of the hypoxia gene signature is fundamental for the understanding of tumor biology, as in the case of neuroblastoma, the most common pediatric solid tumor. The issue of identifying a significant group of variables in microarray gene expression experiments is particularly difficult due to the typical high dimensional nature of the data and great effort has been spent in the development of feature selection techniques.

Publication Title

A biology-driven approach identifies the hypoxia gene signature as a predictor of the outcome of neuroblastoma patients.

Sample Metadata Fields

Cell line

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accession-icon SRP134115
In vivo analysis of spinal cord astrocyte and non-astrocyte gene expression after traumatic spinal cord injury, with or without intraspinal treatment with hydrogel depot containing FGF+EGF
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Comparison of genomic data from astrocytes and non-astrocyte cells from mice with or without FGF+EGF after SCI. We conducted genome-wide RNA sequencing of (i) immunoprecipitated astrocyte-specific ribosome-associated RNA (ramRNA) and (ii) the non-precipitated (flow-through) RNA deriving from non-astrocyte cells, from spinal cord tissue of mice recieving i) SCI alone, ii) SCI+hydrogel depot containing FGF+EGF, or iii) SCI+empty hydrogel depot. Overall design: Young adult mGFAP-Cre-RiboTag mice underwent severe crush SCI at thoracic level 10. Hydrogel depots were injected two days post-injury. At 14 days following SCI, the central 3mm of the SCI lesion was extracted, homogenized and (i) astrocyte-specific ribosome-associated RNA (ramRNA) precipitated via a hemagglutinin (HA) tag targeted to astrocytes, and (ii) the non-precipitated (flow-through) RNA deriving from non-astrocyte cells in the same tissue samples.

Publication Title

Required growth facilitators propel axon regeneration across complete spinal cord injury.

Sample Metadata Fields

Subject

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accession-icon GSE28238
Low grade gliomas
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Categorisation of LGGs related to their lesion site (infratentorial vs. supratentorial)

Publication Title

Molecular fingerprinting reflects different histotypes and brain region in low grade gliomas.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP051737
Functional characterization of human T cell hyporesponsiveness induced by CTLA4-Ig
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

During activation, T cells integrate multiple signals from APCs and cytokine milieu. The blockade of these signals can have clinical benefits as exemplified by CTLA4-Ig, which blocks interaction of B7 co-stimulatory molecules on APCs with CD28 on T cells. Variants of CTLA4-Ig, abatacept and belatacept are FDA approved as immunosuppressive agents in arthritis and transplantation whereas murine studies suggested that CTLA4-Ig can be beneficial in a number of other diseases. However, detailed analysis of human CD4 cell hyporesponsivness induced by CTLA4-Ig has not been performed. Herein, we established a model to study effect of CTLA4-Ig on the activation of human naïve T cells in a human mixed lymphocytes system. Comparison of human CD4 cells activated in the presence or absence of CTLA4-Ig, showed that co-stimulation blockade during TCR activation does not affect NFAT signaling but results in decreased activation of NF-kB and AP-1 transcription factors followed by profound decrease in proliferation and cytokine production. The resulting T cells become hyporesponsive to secondary activation and, although capable of receiving TCR signals, fail to proliferate or produce cytokines, demonstrating properties of anergic cells. However, unlike some models of T cell anergy, these cells did not possess increased levels of TCR signaling inhibitor CBLB. Rather, the CTLA4-Ig induced hyporesponsiveness was associated with an elevated level of p27kip1 cyclin-dependent kinase inhibitor. Overall design: Time series. Human resting and activated T cell dUTP mRNA-Seq profiles were generated on Illumina HiSeq2500

Publication Title

Functional characterization of human T cell hyporesponsiveness induced by CTLA4-Ig.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE64763
Expression data from normal myometrium, leiomyomata, and leiomyosarcomas
  • organism-icon Homo sapiens
  • sample-icon 77 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The molecular etiology of uterine leiomyosarcoma (ULMS) is poorly understood, which accounts for the wide disparity in outcomes among women with this disease. We examined and compared the molecular profiles of ULMS, fibroids, and normal myometrium (NL) to identify clinically relevant molecular subtypes. RNA was hybridized to Affymetrix U133A 2.0 transcription microarrays. Differentially expressed genes and pathways were identified using standard methods.

Publication Title

Molecular subtypes of uterine leiomyosarcoma and correlation with clinical outcome.

Sample Metadata Fields

Sex

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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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