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accession-icon GSE109597
Predictive computational obesity risk framework through integration of gene expression profiles and genetic risk score.
  • organism-icon Homo sapiens
  • sample-icon 82 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We aimed to predict obesity risk with genetic data, specifically, obesity-associated gene expression profiles. Genetic risk score was computed. The genetic risk score was significantly correlated with BMI when an optimization algorithm was used. Linear regression and built support vector machine models predicted obesity risk using gene expression profiles and the genetic risk score with a new mathematical method.

Publication Title

A computational framework for predicting obesity risk based on optimizing and integrating genetic risk score and gene expression profiles.

Sample Metadata Fields

Specimen part

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accession-icon GSE109278
Baseline Intrahepatic and Peripheral Innate Immune Responses are Associated with Hepatitis C Virus Eradication in Patients Receiving Direct Acting Antivirals
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Hepatitis C virus (HCV) infection induces interferon stimulated genes (ISGs) and downstream innate immune responses. This study investigated whether baseline and on-treatment differences in these responses predict response versus virological breakthrough during therapy with direct acting antivirals (DAA).

Publication Title

Baseline Intrahepatic and Peripheral Innate Immunity are Associated with Hepatitis C Virus Clearance During Direct-Acting Antiviral Therapy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Treatment, Race, Subject

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accession-icon SRP035209
Chromatin occupancy and target genes of TCF7L2 in hepatocytes
  • organism-icon Rattus norvegicus
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon

Description

TCF7L2 regulates multiple metabolic pathways in hepatocytes through a transcriptional network involving HNF4a Overall design: For the identification of Tcf7l2 target genes using a RNA-seq timecourse, and for identifying the binding sites of Tcf7l2 and Hnf4a, Tcf7l2 was silenced in rat H4IIE hepatocytes using siRNA for Tcf7l2 with a scrambled siRNA as control. Treatment times for RNA-seq samples were 3, 6, 9, 12, 15, 18, 48, and 96 hours, and for ChIP-seq samples 15 h. RNA-seq timecourse was performed in duplicate or triplicate, and the ChIP-seq in duplicate for Tcf7l2 and in singlicate for Hnf4a. The H4IIE-specific transcriptome was defined from an independent set of pooled 24 h siRNA treated samples (N=3 for siRNA for Tcf7l2 and N=3 for scrambled siRNA).

Publication Title

The mechanisms of genome-wide target gene regulation by TCF7L2 in liver cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12644
Gene expression profile of normal and calcified stenotic human aortic valves
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We explored gene expression profile of human aortic valves in patients with or without aortic stenosis. The dataset that we generated constitutes a large-scale quantitative measurements of gene expression in normal and stenotic human valves. The goal was to compare gene expression levels between the two groups and identified a list of genes that are up- or down-regulated in aortic stenosis.

Publication Title

Refining molecular pathways leading to calcific aortic valve stenosis by studying gene expression profile of normal and calcified stenotic human aortic valves.

Sample Metadata Fields

Sex, Age

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accession-icon GSE56646
MOF-associated complexes have overlapping and unique roles in regulating pluripotency in embryonic stem cells and during differentiation [array]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The histone acetyltransferase (HAT) Mof is essential for mouse embryonic stem cells (mESC) pluripotency and early development. Mof is the enzymatic subunit of two different HAT complexes, MSL (Male-Specific Lethal) and NSL (Non-specific lethal). The individual contribution of MSL and NSL complexes to transcription regulation in mESCs is not well understood. Our genome-wide analysis of MSL and NSL localization show that i) MSL and NSL bind to specific and common sets of expressed genes, ii) NSL binds at promoters, iii) while MSL binds in gene bodies. Knockdown of Msl1 leads to a global loss of histone H4K16ac indicating that MSL is the main HAT acetylating H4K16 in mESCs. MSL was enriched at many mESC-specific genes, but also at bivalent domains. Thus, NSL and MSL HAT complexes differentially regulate specific sets of expressed genes in mESCs. Furthermore, MSL is essential for the regulation of key mESC-specific and bivalent developmental genes.

Publication Title

Mof-associated complexes have overlapping and unique roles in regulating pluripotency in embryonic stem cells and during differentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-1006
Transcription profiling time series of finite life span and immortal non-malignant human mammary epithelial cell lines
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We analyzed gene expression in 184 (finite life span) and HMT3522 S1 (immortal non-malignant) HMECs on successive days (3, 5, and 7) post-seeding in a laminin-rich extracellular matrix assay. Both HMECs underwent growth arrest in G0/G1 and differentiated into polarized acini between days 5 and 7.

Publication Title

Gene expression signature in organized and growth-arrested mammary acini predicts good outcome in breast cancer.

Sample Metadata Fields

Sex, Specimen part, Cell line, Time

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accession-icon GSE8096
Transcription profiling time series of finite life span and immortal non-malignant human mammary epithelial cell lines
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Nonmalignant human mammary epithelial cells (HMEC) seeded in laminin-rich extracellular matrix (lrECM) form polarized acini and, in doing so, transit from a disorganized proliferating state to an organized growth-arrested state. We hypothesized that the gene expression pattern of organized and growth-arrested HMECs would share similarities with breast tumors with good prognoses. Using Affymetrix HG-U133A microarrays, we analyzed the expression of 22,283 gene transcripts in 184 (finite life span) and HMT3522 S1 (immortal nonmalignant) HMECs on successive days after seeding in a lrECM assay. Both HMECs underwent growth arrest in G0-G1 and differentiated into polarized acini between days 5 and 7. We identified gene expression changes with the same temporal pattern in both lines and examined the expression of these genes in a previously published panel of microarray data for 295 breast cancer samples. We show that genes that are significantly lower in the organized, growth-arrested HMEC than in their proliferating counterparts can be used to classify breast cancer patients into poor and good prognosis groups with high accuracy. This study represents a novel unsupervised approach to identifying breast cancer markers that may be of use clinically.

Publication Title

Gene expression signature in organized and growth-arrested mammary acini predicts good outcome in breast cancer.

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon GSE7223
Genes regulated by the processed form of AIbZIP/CREB3L4 in LNCaP prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Androgen-induced bZIP (AIbZIP) is a basic leucine zipper (bZIP)

Publication Title

Transcriptional profiling of genes that are regulated by the endoplasmic reticulum-bound transcription factor AIbZIP/CREB3L4 in prostate cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP173831
Transcriptome analysis of mdx hearts and skeletal muscles treated with cardiac progenitor cells and their exosomes
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

Aged mdx mice were treated with 2.5x105 cardiosphere-derived cells (CDCs) or 2.0x109 exosomes intravenously. Hearts and skeletal muscles were harvested 3 weeks post-treatment and prepared for RNA sequencing. Overall design: Comparison of transcriptomic changes in mdx hearts and skeletal muscles by cardiac progenitor cell and exosome treatments

Publication Title

Disease-modifying bioactivity of intravenous cardiosphere-derived cells and exosomes in mdx mice.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE41856
Cell growth in aggregates determines gene expression, proliferation, survival and chemoresistance of Follicular Lymphoma
  • organism-icon Homo sapiens
  • sample-icon 14 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

Cell growth in aggregates determines gene expression, proliferation, survival, chemoresistance, and sensitivity to immune effectors in follicular lymphoma.

Sample Metadata Fields

No sample metadata fields

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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