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accession-icon GSE66936
Expression data from intermediate monocytes from healthy donors and autoimmune uveitis patients
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human peripheral monocytes have been categorized into three subsets based on differential expression levels of CD14 and CD16. However, the factors that influence the distribution of monocyte subsets and the roles which each subset plays in autoimmunity are not well studied. To compare the gene expression profiling 1) on intermediate monocytes CD14++CD16+ monocytes between healthy donors and autoimmune uveitis patients and 2) among 3 monocyte subsets in health donors, here we purified circulating intermediate CD14++CD16+ monocytes from 5 patients with autoimmune uveitis (labeled as P1-5) and 4 healthy donors (labeled as HD1-4) by flow cytometry and isolated total RNA to proceed microarray assay. In addition, we also purified CD14+CD16++ (non-classical monocytes) and CD14++CD16- (classical monocytes) from 4 healthy donors to do microarray. We demonstrate that CD14++CD16+ monocytes from patients and healthy control donors share a similar gene expression profile. The CD14+CD16++ cells (non-classical monocytes) display the most distinctive gene expression profiling when compared to intermediate CD14++CD16+ monocytes and classical CD14++CD16- monocytes.

Publication Title

CD14++CD16+ Monocytes Are Enriched by Glucocorticoid Treatment and Are Functionally Attenuated in Driving Effector T Cell Responses.

Sample Metadata Fields

Specimen part, Disease stage, Subject

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accession-icon GSE52735
Gene signature predictive of response to chemotherapy in mCRC [array]
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The objective is to generate a robust and validated predictor profile for chemotherapy response in patients with mCRC using microarray gene expression profiles of primary colorectal cancer tissue.

Publication Title

Gene expression profile predictive of response to chemotherapy in metastatic colorectal cancer.

Sample Metadata Fields

Disease, Disease stage

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accession-icon GSE108004
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia
  • organism-icon Homo sapiens
  • sample-icon 30 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

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage

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accession-icon GSE107465
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia [array]
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We demonstrate a promising approach to identify robust molecular markers for targeted treatment of acute myeloid leukemia. We show that our method outperforms several state-of-the-art approaches in identifying molecular markers replicated in validation data and predicting drug sensitivity accurately.

Publication Title

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage

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accession-icon SRP126623
A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We demonstrate a promising approach to identify robust molecular markers for targeted treatment of acute myeloid leukemia. We show that our method outperforms several state-of-the-art approaches in identifying molecular markers replicated in validation data and predicting drug sensitivity accurately. Finally, we identify SMARCA4 as a marker and driver of sensitivity to topoisomerase II inhibitors, mitoxantrone and etoposide, in AML by showing that cell lines transduced to have high SMARCA4 expression reveal dramatically increased sensitivity to these agents. Overall design: We measured the gene expression of samples from 30 different AML patients with acute myeloid leukemia in order to identify reliable gene expression markers for drug sensitivity. We used this dataset for validation. This Series represents 12 patient samples.

Publication Title

A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia.

Sample Metadata Fields

Age, Specimen part, Disease, Disease stage, Subject

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accession-icon GSE98905
The BET bromodomain inhibitor CPI203 overcomes resistance to ABT-199 (venetoclax) by downregulation of BFL-1/A1 in in vitro and in vivo models of MYC+/BCL2+ double hit lymphoma
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Double Hit Lymphoma (DHL) were treated with the BRD4 inhibitor 100 nM CPI203 for 6h

Publication Title

The BET bromodomain inhibitor CPI203 overcomes resistance to ABT-199 (venetoclax) by downregulation of BFL-1/A1 in in vitro and in vivo models of MYC+/BCL2+ double hit lymphoma.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE48926
Expression data from C33-A cell line
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

C33-A is a Homo sapiens cervix carcinoma cell line. In this experiment we determine the level of gene expression under exponentially growing conditions.

Publication Title

The chromatin remodeller CHD8 is required for E2F-dependent transcription activation of S-phase genes.

Sample Metadata Fields

Cell line

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accession-icon SRP079936
Next Generation Sequencing Comparison of Wild Type and Whsc1-/- Activated B-cell Transcriptomes
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Whsc1 gene codes for a SET domain-containing H3K36 dimethylase, whose activity has been suggested, in ex vivo cell culture experiments, to control many aspects of DNA and RNA processing (replication, repair, transcription, etc). Its precise function in vivo is still unclear. Here, we use RNA-seq transcriptome analysis to study the changes in gene expression in the absence of Whsc1. Our results show that, in the experimental system used, loss of Whsc1 caused massive changes in genes affecting many fundamental cellular processes, from cell cycle to ribosome synthesis, DNA repair, replication, etc. Overall design: Whsc1-KO mice are embryonic lethal. We therefore took hematopoietic cells from fetal liver of WT and Whsc1-KO embryo littermates and injected them in to lethally irradiated RAG1-KO recipients and allowed the generation of a full Whsc1-KO hematopoietic system. Then, WT and Whsc1-KO B cells were obtained from the spleen and stimulated with LPS to induce proliferation and class switch recombination. Flow cytometry and cell cycle analyses (among others) showed the existence of serious proliferative alterations in Whsc1-KO cells. Then, we performed paired-end RNAseq analyses of 7 independent WT and 6 independent Whsc1-KO biological replicates and we used these data to identify differentially expressed genes and pathways regulated by Whsc1 in B cells.

Publication Title

Wolf-Hirschhorn Syndrome Candidate 1 Is Necessary for Correct Hematopoietic and B Cell Development.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE70469
Expression data from antigen-specific CD4+T cells from peripheral blood of patietns with CD and healthy controls.
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Crohn's Disease (CD) is a chronic inflammatory disease of the intestinal tract.

Publication Title

Commensal-Specific CD4(+) Cells From Patients With Crohn's Disease Have a T-Helper 17 Inflammatory Profile.

Sample Metadata Fields

Sex, Age, Disease, Subject

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accession-icon GSE30915
Transcriptomic Signature of Trophoblast Differentiation in a Human Embryonic Stem Cell Model
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Identification of genes involved in trophoblast differentiation is of great interest in understanding cellular and molecular mechanisms involved in placental development and is relevant clinically to fetal development, fertility, and maternal health. To understand, on a global scale, changes in the transcriptome during the differentiation of hESCs down the trophoblast lineage, a large-scale microarray analysis was performed. This work provides an in vitro functional genomic model with which to identify genes involved in trophoblast development.

Publication Title

Transcriptomic signature of trophoblast differentiation in a human embryonic stem cell model.

Sample Metadata Fields

Specimen part, Cell line

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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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