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accession-icon GSE81986
An FFPE-based prognostic signature to predict metastasis in stage I/II microsatellite stable colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 294 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 formalin-fixed paraffin-embedded (FFPE)-based prognostic signature to predict metastasis in clinically low risk stage I/II microsatellite stable colorectal cancer.

Sample Metadata Fields

Sex, Age

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accession-icon GSE81980
Expression data from early stage CRC patients' tumors [Affymetrix]
  • organism-icon Homo sapiens
  • sample-icon 150 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study was conducted in order to identify biomarkers for a prognostic gene expression signature for metastases in early stage CRC.

Publication Title

A formalin-fixed paraffin-embedded (FFPE)-based prognostic signature to predict metastasis in clinically low risk stage I/II microsatellite stable colorectal cancer.

Sample Metadata Fields

Sex, Age

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accession-icon SRP142465
Profiling of lung tumor-infiltrating CD8 T cells according to their expression status of CD39
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Human tumors are infiltrated by various immune cells, including CD8 T cells. CD8 T cells express unique receptors that can recognize peptides at the host's cells, including tumor cells. After probing the antigen specificity of ex-vivo tumor-infiltrating CD8 T cells from human tumors, we hypothesized that expression of CD39 was correlated with tumor-specificity. The present experiment aims at better characterizing ex-vivo CD39+ vs CD39- CD8 T cells. Overall design: CD39- and CD39+ CD8 T cells were FACS sorted from 8 fresh tumor samples and their RNA extracted for transcriptomic profiling.

Publication Title

Bystander CD8<sup>+</sup> T cells are abundant and phenotypically distinct in human tumour infiltrates.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP201124
Single-cell omics reveal human mononuclear phagocyte heterogeneity and inflammatory DC in health and disease
  • organism-icon Homo sapiens
  • sample-icon 178 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Human mononuclear phagocytes comprise phenotypically and functionally overlapping subsets of dendritic cells (DC) and monocytes, but their identification remains elusive. By integrating high-dimensional single-cell protein and RNA expression data, we clearly delineated monocytes from conventional DC2 (cDC2), identifying new markers including CD88/CD89 for monocytes and HLA-DQ/Fc?RI? for cDC2, allowing their unambiguous characterization in blood and tissues. We also show that cDC2 can be subdivided into phenotypically and functionally distinct subsets based on CD5, CD163 and CD14 expression, including a unique subset of circulating inflammatory CD5-CD163+CD14+ cells related to previously defined DC3. These inflammatory DC3 were expanded in systemic lupus erythematosus patients, correlating with disease activity. Unravelling the heterogeneity of DC sub-populations in health and disease paves the way for specific DC subset-targeting therapies. Overall design: Indexed single cell RNAseq (scRNAseq) of human peripheral blood dendritic cells and monocytes

Publication Title

Single-Cell Analysis of Human Mononuclear Phagocytes Reveals Subset-Defining Markers and Identifies Circulating Inflammatory Dendritic Cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE97743
Host transcription profile in nasal epithelium and blood of hospitalized children under two years old with Respiratory Syncitial Virus infection
  • organism-icon Homo sapiens
  • sample-icon 332 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Host Transcription Profile in Nasal Epithelium and Whole Blood of Hospitalized Children Under 2 Years of Age With Respiratory Syncytial Virus Infection.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE86198
Reprogramming Mouse Fibroblasts into Engraftable Myeloerythroid and Lymphoid Progenitors: Induction and Underlying Mechanisms
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Reprogramming mouse fibroblasts into engraftable myeloerythroid and lymphoid progenitors.

Sample Metadata Fields

Specimen part

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accession-icon GSE86196
Reprogramming Mouse Fibroblasts into Engraftable Myeloerythroid and Lymphoid Progenitors: Induction and Underlying Mechanisms (BeadChip)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Here we show that hematopoietic transcription factors Scl, Lmo2, Runx1 and Bmi1 can convert a developmentally-distant lineage (fibroblasts) into induced hematopoietic progenitors (iHPs). We analyzed transcriptomic data for cell undergoing the transdifferentiation process at several time-points of the process.

Publication Title

Reprogramming mouse fibroblasts into engraftable myeloerythroid and lymphoid progenitors.

Sample Metadata Fields

Specimen part

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accession-icon GSE43495
Expression data of mammary epithelial cells during the epithelial-mesenchymal transition
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

The EMT program allows epithelial cells to become endowed with motility, invasiveness and stem cell traits. We investigated difference in signaling networks that are differentially utilized in EMTed and non-EMTed cells, thereby identifying therapeutic targets that are unique to EMT/cancer stem cells.

Publication Title

Protein kinase C α is a central signaling node and therapeutic target for breast cancer stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE89749
Integrative genomic and epigenetic analysis in cholangiocarcinoma
  • organism-icon Homo sapiens
  • sample-icon 120 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Whole-Genome and Epigenomic Landscapes of Etiologically Distinct Subtypes of Cholangiocarcinoma.

Sample Metadata Fields

Specimen part

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accession-icon GSE89748
Integrative genomic and epigenetic analysis in cholangiocarcinoma [batch2]
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Analysis of gene expression in cholangiocarcinoma patients.

Publication Title

Whole-Genome and Epigenomic Landscapes of Etiologically Distinct Subtypes of Cholangiocarcinoma.

Sample Metadata Fields

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)

fund-icon Fund the CCDL

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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