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accession-icon GSE42406
Genome-wide expression profiling and functional characterization of SCA28 lymphoblastoid cell lines.
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To identify altered pathways in SCA28 LCLs, we performed a whole genome expression profiling, based on Affymetrix Human Genome U133A 2.0 Chip Array, on LCLs from four unrelated patients, each carrying a different AFG3L2 mutation.

Publication Title

Genome-wide expression profiling and functional characterization of SCA28 lymphoblastoid cell lines reveal impairment in cell growth and activation of apoptotic pathways.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP151306
Transition between fermentation and respiration determines history-dependent behavior in fluctuating carbon sources
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 50 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Transcriptome of S. cerevisiae in shifts between glucose and maltose media with different re-growth conditions Overall design: Cells are pregrown in maltose, then grown for different durations in glucose and then washed back to maltose

Publication Title

A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast.

Sample Metadata Fields

Subject

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accession-icon GSE137301
Human Regulatory T cells from Umbilical Cord Blood Display Increased Repertoire Diversity and Lineage Stability Relative to Adult Peripheral Blood
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman)

Description

Microarray used to detail bulk transcriptomic differences between sorted CD4+CD25+CD127lo/- Treg and CD4+CD25-CD127+ Tconv from adult peripheral blood (APB) and cord blood (CB) after a 14 day expansion period.

Publication Title

Human Regulatory T Cells From Umbilical Cord Blood Display Increased Repertoire Diversity and Lineage Stability Relative to Adult Peripheral Blood.

Sample Metadata Fields

Specimen part

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accession-icon GSE12211
Gene expression of CML CD34+ cells during Imatinib therapy
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Imatinib has become the current standard therapy for patients with chronic myelogenous leukaemia (CML). For a better understanding of the Imatinib-related molecular effects in vivo, we assessed gene expression profiles of Philadelphia Chromosome positive (Ph+) CD34+ cells from peripheral blood of 6 patients with de novo CML in chronic phase. After 7 days of treatment with Imatinib the Ph+ CD34+ cells were reassessed to look for changes in the transcriptome. The expression level of 303 genes was significantly different comparing the transcriptome of the Ph+ CD34+ cells before and after 7 days of Imatinib therapy (183 down-regulated, 120 up-regulated, lower bound 1.2-fold). For a substantial number of genes governing cell cycle and DNA replication, the level of expression significantly decreased (CDC2, RRM2, PCNA, MCM4). On the other hand, therapy with Imatinib was associated with an increase of genes related to adhesive interactions, such as L-selectin or CD44. A group of 8 genes with differential expression levels were confirmed using a gene specific quantitative real-time PCR. Thus, during the first week of treatment, Imatinib is preferentially counteracting the bcr-abl induced effects related to a disturbed cell cycle and defective adhesion of leukemic Ph+ CD34+ cells.

Publication Title

Early in vivo changes of the transcriptome in Philadelphia chromosome-positive CD34+ cells from patients with chronic myelogenous leukaemia following imatinib therapy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE141864
Extensive changes in transcriptomic “fingerprints” and immunological cells in the large organs of patients dying of acute septic shock and multiple organ failure caused by Neisseria meningitidis
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Background: Patients developing meningococcal septic shock reveal very high levels of Neisseira meningitidis and endotoxin in the circulation and organs, leading to acute cardiovascular, pulmonary and renal failure, coagulopathy and a high case fatality rate within 24 hours.

Publication Title

Extensive Changes in Transcriptomic "Fingerprints" and Immunological Cells in the Large Organs of Patients Dying of Acute Septic Shock and Multiple Organ Failure Caused by <i>Neisseria meningitidis</i>.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE6798
Reduced expression of mitochondrial oxidative metabolism genes in skeletal muscle of women with PCOS
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Recently, abnormalities in mitochondrial oxidative phosphorylation (OXPHOS) have been implicated in the pathogenesis of skeletal muscle insulin resistance in type 2 diabetes. In the present study, we hypothesized that decreased expression of OXPHOS genes could be of similar importance for insulin resistance in the polycystic ovary syndrome (PCOS).

Publication Title

Reduced expression of nuclear-encoded genes involved in mitochondrial oxidative metabolism in skeletal muscle of insulin-resistant women with polycystic ovary syndrome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12643
Transcription profiling of myotubes from patients with type 2 diabetes
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Microarray-based studies of skeletal muscle from patients with type 2 diabetes and high-risk individuals have demonstrated that insulin resistance and reduced mitochondrial biogenesis co-exist early in the pathogenesis of type 2 diabetes independent of hyperglycaemia and obesity. It is unknown whether reduced mitochondrial biogenesis or other transcriptional alterations co-exist with impaired insulin-responsiveness in primary human muscle cells from patients with type 2 diabetes.

Publication Title

Transcriptional profiling of myotubes from patients with type 2 diabetes: no evidence for a primary defect in oxidative phosphorylation genes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE67220
AginAging: a portrait from gene expression profile in blood cells: a portrait from gene expression profile in blood cells.
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In almost every countries the proportion of people over 60 years is growing faster that any other age group. Increased life expectancy is leading to the characterization of specific aspects of aging for the various physiological systems. The study of healthy aging is important to design strategies capable to maximize the health and to prevent chronic diseases in older people. Immunosenscence reflects the age-related changes of the immune system and the reduced capacity of elderly people to cope with new infections. To elucidate changes in gene expression related to systemic aging and immunosenescence in an unbiased manner we performed comparative microarray analysis on whole blood cell from healthy middle-aged versus elderly men, and correlated results with functional measurements of aerobic capacity. Blood cells from elderly subjects showed age-related changes in the expression of several markers of immunosenescence, inflammation and oxidative stress, and showed impairments in metabolic and biosynthetic capacities.

Publication Title

Aging: a portrait from gene expression profile in blood cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13710
MKL1 promotes megakaryocytic differentiation in HEL cells
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Megakaryoblastic Leukemia 1 (MKL1) was identified as part of the t(1;22) translocation specific to acute megakaryoblastic leukemia, but nothing is known regarding its role in hematopoiesis. Here we show that overexpression of MKL1 enhances megakaryocytic differentiation of the Human Erythroleukemia cell line (HEL). Microarray analysis reveals that MKL1 promotes expression of megakaryocyte-specific genes such as glycoprotein V (GP5), as well as cytoskeletal and adhesion molecule genes relevant to megakaryocyte differentiation and proplatelet formation. MKL1 is a transcriptional coactivator of Serum Response Factor. In this study, MKL1 also upregulates known SRF targets. Results provide insight into the role of MKL1 in megakaryocytopoiesis.

Publication Title

Role for MKL1 in megakaryocytic maturation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE25988
Expression data from Drosophila dLmo (EP1306 and BxJ) mutants
  • organism-icon Drosophila melanogaster
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

The Drosophila gene dLmo encodes a transcriptional regulator involved in wing development and behavioral responses to cocaine and ethanol.

Publication Title

An evolutionary conserved role for anaplastic lymphoma kinase in behavioral responses to ethanol.

Sample Metadata Fields

Sex, Specimen part

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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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