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accession-icon GSE66700
Liver gene expression profiles of interferon therapy in chronic hepatitis B Patients
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Liver Gene Expression Profiles Correlate with Virus Infection and Response to Interferon Therapy in Chronic Hepatitis B Patients.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE66698
Liver gene expression profiles of interferon therapy in chronic hepatitis B Patients (mRNA)
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

With 350 million carriers worldwide who may suffer from serious sequelae, including hepatocellular carcinoma, chronic hepatitis B virus (CHB) infection remains an important health issue. Current antiviral therapies hardly eradicate the virus. Therefore, there are still imperative need to develop new therapeutic strategies and predictors for treatment response to cure the disease and avoid futile treatment. By taking the advantage of having the paired liver biopsy samples of IFNalpha responders before/after treatment and pretreatment samples from responders and non-responders, we could characterize the intrahepatic expression profiles associated with necroinflammatory activity and the profiles/signature potentially predictive of response to IFNalpha therapy for CHB in this study.

Publication Title

Liver Gene Expression Profiles Correlate with Virus Infection and Response to Interferon Therapy in Chronic Hepatitis B Patients.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE66699
Liver gene expression profiles of interferon therapy in chronic hepatitis B Patients (Exon)
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

With 350 million carriers worldwide who may suffer from serious sequelae, including hepatocellular carcinoma, chronic hepatitis B virus (CHB) infection remains an important health issue. Current antiviral therapies hardly eradicate the virus. Therefore, there are still imperative need to develop new therapeutic strategies and predictors for treatment response to cure the disease and avoid futile treatment. By taking the advantage of having the paired liver biopsy samples of IFNalpha responders before/after treatment and pretreatment samples from responders and non-responders, we could characterize the intrahepatic expression profiles associated with necroinflammatory activity and the profiles/signature potentially predictive of response to IFNalpha therapy for CHB in this study.

Publication Title

Liver Gene Expression Profiles Correlate with Virus Infection and Response to Interferon Therapy in Chronic Hepatitis B Patients.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE7670
Expression data from Lung cancer
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Detection, treatment, and prediction of outcome for lung cancer patients increasingly depend on a molecular understanding of tumor development and sensitivity of lung cancer to therapeutic drugs. The application of genomic technologies, such as microarray, is widely used to monitor global gene expression and has built up invaluable information and knowledge, which is essential to the discovery of new insights into the mechanisms common to cancer cells, resulting in the identification of unique, identifiable signatures and specific characteristics. It is likely that application of microarray may revolutionize many aspects of lung cancer being diagnosed, classified, and treated in the near future. We used microarrays to detail the global gene expression patterns of lung cancer.

Publication Title

Selection of DDX5 as a novel internal control for Q-RT-PCR from microarray data using a block bootstrap re-sampling scheme.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE95700
Molecular subtyping of Triple negative Breast Cancer from Taiwanese
  • organism-icon Homo sapiens
  • sample-icon 56 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

'Precision medicine' is a concept that by utilizing modern molecular diagnostics, an effective therapy is accurately applied for each cancer patient to improve their survival rates. The aim of this study was to compare the molecular subtypes of triple negative breast cancer (TNBC) between Taiwanese and other datasets.

Publication Title

A comparison of the molecular subtypes of triple-negative breast cancer among non-Asian and Taiwanese women.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE96853
Characterization of transcriptomes of human iPSC-derived retinal lineages
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Retinal ganglion cells (RGCs) and retinal pigment epithelium (RPE) cells are two retinal cell types that are affected by the most prevalent retinal diseases leading to irreversible blindness, such as glaucoma affecting the former and age-related macular degeneration affecting the latter. One of the most promising approaches for the therapy of these diseases is via the autologous transplantation of RGC or RPE cells derived from the induced pluripotent stem cells (iPSCs). This emphasizes the importance of detailed characterization and understanding of the mechanisms of differentiation of iPSCs into retinal lineages on the genome-wide scale. Such information can be used to identify novel crucial regulators of differentiation, optimisation of differentiation protocols to make them more efficient and safe, identification of novel specific biomarker signatures of differentiated cells. In this study, we performed the genome-wide transcriptome analysis of terminally differentiated RGC and RPE lineages, as well as intermediate retinal progenitor cells (RPCs) of optic vesicles (OVs) derived from the human induced pluripotent stem cells (iPSCs). In our analysis we specifically focused on the classes of transcripts that encode regulators of gene expression, such as transcription factors, epigenetic factors, and components of signaling pathways.

Publication Title

Expression profiling of cell-intrinsic regulators in the process of differentiation of human iPSCs into retinal lineages.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE103619
Gene expression profiles of hiPSC-derived retinal ganglion cells in MT-ND4 mutated Leber's hereditary optic neuropathy
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Lebers hereditary optic neuropathy (LHON) is a maternally inherited mitochondrial disease caused by homoplasmic mutations in complex I subunit genes, and is characterized by incomplete penetrance. The mechanism of low penetrance of complex I mutation is still largely unclear today. In this study, we created the patient-specific induced pluripotent stem cells (iPSCs) from MT-ND4 mutated LHON affected patient, asymptomatic mutation carrier and control, and differentiated them into retinal ganglion cells (RGCs) for pathogenesis survey. We observed the following phenotypic features in the LHON-specific RGCs as compared to the control: 1) enhanced mitochondrial biogenesis in affected and carriers; 2) compensatory increased mitochondrial complex I activity in carrier, but not in affected patient; 3) reduced spare respiratory activity in affected and carrier. Microarray profiling of LHON-specific RGCs revealed abundant overexpression of genes encoding components of cell cycle regulation machinery as compared to the control.

Publication Title

Bioactivity and gene expression profiles of hiPSC-generated retinal ganglion cells in MT-ND4 mutated Leber's hereditary optic neuropathy.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE36809
A genomic storm in critically injured humans
  • organism-icon Homo sapiens
  • sample-icon 856 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human survival from injury requires an appropriate inflammatory and immune response. We describe the circulating leukocyte transcriptome after severe trauma and show that the severe stress produce a global

Publication Title

A genomic storm in critically injured humans.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE37069
Gene response to major burn injuries
  • organism-icon Homo sapiens
  • sample-icon 587 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Blood was sampled from severe burns patients over time as well as healthy subjects. Genome-wide expression analyses were conducted using the Affymetrix U133 plus 2.0 GeneChip.

Publication Title

Genomic responses in mouse models poorly mimic human inflammatory diseases.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE143626
Deregulation of ribosomal protein expression and translation promotes breast cancer metastasis
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Deregulation of ribosomal protein expression and translation promotes breast cancer metastasis.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
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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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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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