refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 92 results
Sort by

Filters

Technology

Platform

accession-icon GSE17475
Expression data from lung adenocarcinoma
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Affymetrix Human Genome U133A platform was used to obtain gene expression profiles of 28 pathologically and clinically well characterized adenocarcinomas of the lung. In addition, EGFR status was determined by fluorescent in situ hybridization and immunohistochemistry.

Publication Title

Gene expression profiles of lung adenocarcinoma linked to histopathological grading and survival but not to EGF-R status: a microarray study.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP075283
Development and differentiation of early innate lymphoid progenitors
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Early innate lymphoid progenitors (EILP) have recently been identified in the mouse adult bone marrow as a multipotential progenitor population committed to ILC lineages, but their relationship with other described ILC progenitors is still unclear. In this study, we examine the progenitor-successor relationships between EILP, IL-7R+ common lymphoid progenitors (ALP), and ILC precursors (ILCp). Bioinformatic, phenotypical, functional, and genetic approaches collectively establish EILP as an intermediate progenitor between ALP and ILCp. Our work additionally provides new candidate regulators of ILC development and clearly defines the stage of requirement of transcription factors key for early ILC development. Overall design: transcriptional profiling of early ILC progenitors (EILP, ILCp), and common lymphoid progenitors (ALP) was performed by RNA sequencing

Publication Title

Development and differentiation of early innate lymphoid progenitors.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE107246
Identification of INSL4-regulated gene program in non-small cell lung cancer cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Gene expression profiling was performed to identify INSL4-regulated gene program in non-small cell lung cancer A549 cells. We compared gene expression profiles of A549 cells transduced with lentiviruses expressing scrambled shRNA control or INSL4 shRNA. Our analysis revealed INSL4-regulated gene program that are involved in the regulation of cell cycle, growth and survival.

Publication Title

Role of INSL4 Signaling in Sustaining the Growth and Viability of LKB1-Inactivated Lung Cancer.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE81960
Identification of LINC00473-regulated transcriptional program in human mucoepidermoid carcinoma
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Gene expression profiling was performed on control and long intergenic non-protein coding RNA 473 (LINC00473)-depleted human mucoepidermoid carcinoma H3118 cells, and differentially expressed genes after LINC00473 depletion were identified.

Publication Title

CRTC1-MAML2 fusion-induced lncRNA LINC00473 expression maintains the growth and survival of human mucoepidermoid carcinoma cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP075699
Identification of a distinct IL-10 producing subset of innate lymphoid type-2 effector cells with regulatory potential
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconNextSeq 500, Ion Torrent Proton

Description

ILC210 represent a distinct effector population of ILC2 cells that have regulatory potential Overall design: comparison between ILC2 cells with IL-33 stimulation or not on transcriptome change

Publication Title

Alternative activation generates IL-10 producing type 2 innate lymphoid cells.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP054249
Innate lymphoid cell development requires TOX-dependent generation of a common ILC progenitor
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Subtypes of innate lymphoid cells (ILC), defined by effector function and transcription factor expression, have recently been identified. In the adult, ILC derive from common lymphoid progenitors in bone marrow, although transcriptional regulation of the developmental pathways involved remains poorly defined. TOX is required for development of lymphoid tissue inducer cells, a type of ILC3 required for lymph node organogenesis, and NK cells, a type of ILC1. We show here that production of multiple ILC lineages requires TOX, as a result of TOX-dependent development of common ILC progenitors. Comparative transcriptome analysis demonstrated failure to induce various aspects of the ILC gene program in the absence of TOX, implicating this nuclear factor as a key early determinant of ILC lineage specification. Overall design: TOX KO vs. wild tyype

Publication Title

The development of innate lymphoid cells requires TOX-dependent generation of a common innate lymphoid cell progenitor.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE38987
Commonly altered genomic regions in acute myeloid leukemia are enriched for somatic mutations involved in chromatin-remodeling and splicing
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Acute myeloid leukemia (AML) is characterized by molecular heterogeneity. As commonly altered genomic regions point to candidate genes involved in leukemogenesis, we used microarray-based comparative genomic hybridization and single nucleotide polymorphism profiling data of 391 AML cases to further narrow down genomic regions of interest. Targeted-resequencing of 1000 genes located in the critical regions was performed in a representative cohort of 50 AML samples comprising all major cytogenetic subgroups. We identified 120 missense/nonsense mutations as well as 60 insertions/deletions affecting 73 different genes (~3.6 tumor-specific aberrations/AML). While most of the newly identified alterations were non-recurrent, we observed a number of mutations affecting genes involved in epigenetic regulation including known candidates like TET2, TET1, DNMT3A and DNMT1, as well as mutations in the histone methyltransferases NSD1, EZH2 and MLL3. Furthermore, we found mutations in the splicing factor SFPQ and in the non-classical regulators of mRNA-processing CTCF and RAD21. These splicing-related mutations affected 10% of AML patients in a mutually exclusive manner. In conclusion, we could identify a significant enrichment of alterations in genes involved in aberrant splicing and epigenetic regulation in genomic regions commonly altered in AML, highlighting their important role in the molecular pathogenesis of AML.

Publication Title

Commonly altered genomic regions in acute myeloid leukemia are enriched for somatic mutations involved in chromatin remodeling and splicing.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE103769
One year weight-loss intervention in healthy obese individuals at three time-points
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Subcutaneous adipose tissue gene expression and DNA methylation respond to both short- and long-term weight loss.

Sample Metadata Fields

Sex, Specimen part, Time

View Samples
accession-icon GSE103766
Expression data from adipose tissue of 19 healthy obese individuals at three time-points during one-year weightloss intervention
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To understand the temporal changes occurring in adipose tissue gene expression during a one-year weightloss intervention, adipose tissue biopsies were collected from 19 healthy obese individuals at three time points.

Publication Title

Subcutaneous adipose tissue gene expression and DNA methylation respond to both short- and long-term weight loss.

Sample Metadata Fields

Sex, Specimen part, Time

View Samples
accession-icon GSE66981
Genome-wide analysis of gene expression in mouse pancreas tumors
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Genetically engineered mice developed spontaneous pancreas cancer (Pdx-Cre;LSL-KRASG12D;P53Mut). Mice were also engineered to develop similar spontaneous pancreas cancer without Twist or Snail (conditional gene knockout). The pancreas tumors were harvested and analysed for gene expression profiles comparisons.

Publication Title

Epithelial-to-mesenchymal transition is dispensable for metastasis but induces chemoresistance in pancreatic cancer.

Sample Metadata Fields

Specimen part

View Samples
...

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

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact