refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 190 results
Sort by

Filters

Technology

Platform

accession-icon SRP049669
CX3CR1/Fractalkine receptor expression separates memory CD8+ T cells with distinct functional profiles (RNA-seq)
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1000

Description

Memory T cells are important for protective immunity against infectious microorganisms. Such protection is achieved by cooperative action of memory T cell populations that differ in their tissue localization and functionality. We report on the identification of the fractalkine receptor CX3CR1 as marker for stratification of memory T cells with cytotoxic effector function from those with proliferative function in both, mice and man. Based on CX3CR1 and CD62L expression levels four distinct memory T cell populations can be distinguished based on their functional properties. Transcriptome and proteome profiling revealed that CX3CR1 expression was superior to CD62L to resolve memory T cell functionality and allowed determination of a core signature of memory T cells with cytotoxic effector function. This identifies a CD62Lhi CX3CR1+ memory T cell population with an identical gene signature to CD62LlowCX3CR1+ effector memory T cells. In lymph nodes, this so far unrecognized CD62LhiCX3CR1+ T cell population shows a distinct migration pattern and anatomic positioning compared to CD62LhiCX3CR1neg TCM. Furthermore, CX3CR1+ memory T cells were scarce or absent during chronic HBV, HCV and HIV infection in man and chronic LCMV infection in mice confirming the value of CX3CR1+ in understanding principles of protective immune memory. Overall design: CD8+ T cells were isolated and directly assessed. After harvesting, cells were immediately lysed in Trizol (Invitrogen) before storage at -80°C for RNA isolation.

Publication Title

Functional classification of memory CD8(+) T cells by CX3CR1 expression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE20229
STK38 is a Key Regulator of MYC Transcriptional Activity in Human B lymphoma cells
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Post-translational regulation of the MYC Transcription Factor (TF), including its phosphorylation and ubiquitination, plays an important role in determining cell proliferation and apoptosis and has been implicated in tumorigenesis. Using a computational systems biology approach, followed by biochemical and functional validation, we have characterized the role of the STK38 kinase, an NDR family serine-threonine kinase, as a key modulator of MYC transcriptional activity in human B cells, affecting MYC protein stability in a signal-dependent fashion. Specifically, we show that in human B lymphoma ST486 cells STK38 is a key mediator of BCR pathway signaling, affecting MYC protein turnover and its phosphorylation at Ser62 in kinase-activity-dependent manner. STK38 inactivation abrogates apoptosis following BCR activation while its silencing mediates MYC protein degradation via canonical proteolytic pathways. This suggests that STK38 could provide an effective therapeutic target in MYC-dependent malignancies.

Publication Title

STK38 is a critical upstream regulator of MYC's oncogenic activity in human B-cell lymphoma.

Sample Metadata Fields

Cell line, Time

View Samples
accession-icon E-TABM-63
Transcription profiling by array of Arabidopsis overexpressing artifical microRNAs
  • organism-icon Arabidopsis thaliana
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Tissues of Arabidopsis plants overexpressing artificial microRNAs were compared to wild_type and respective target gene mutants (duplicate arrays)

Publication Title

Highly specific gene silencing by artificial microRNAs in Arabidopsis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE9807
Expression data from RNAi SNCA treated human neuroblastoma cell line
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The pre-synaptic protein -synuclein is a key player in the pathogenesis of Parkinson's disease. Together with accumulation and missfolding of -synuclein protofibrils serve as seed structures for the aggregation of numerous proteins in the cytoplasm of neuronal cells, the so-called Lewy bodies. Furthermore, missense mutations in the SNCA gene and gene multiplications lead to autosomal dominant forms of familiar PD. However, so far the exact biological role of -synuclein in normal brain is elusive. To gain more insights into the biological function of this protein we monitored whole genome expression changes in dopaminergic neuroblastoma cells (SH-SY5Y) caused by a 90% reduction of -synuclein by RNA interference.

Publication Title

Microarray expression analysis of human dopaminergic neuroblastoma cells after RNA interference of SNCA--a key player in the pathogenesis of Parkinson's disease.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE1071
Expression profiling of plants overexpressing transcription factor WIN1
  • organism-icon Arabidopsis thaliana
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis Genome Array (ag)

Description

T2 progenies of two transgenic lines overexpressing ERF transcription factor WIN1 were grown on soil in parallel under identical conditions. mRNA was extracted from pooled leaves from multiple plants of each line for the microarray experiement.

Publication Title

WIN1, a transcriptional activator of epidermal wax accumulation in Arabidopsis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP123526
Single-cell RNAseq (SMART-seq2) of wild-type (TLAB) and MZoep (tz57) zebrafish embryos at 50% epiboly stage
  • organism-icon Danio rerio
  • sample-icon 415 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

SMART-seq2 was performed on single cells isolated from visually staged zebrafish embryos. Overall design: Samples were all sequenced in one batch. Some were generated with a 5'' UMI-tagged method, and others are full-length SMART-seq2.

Publication Title

Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis.

Sample Metadata Fields

Subject

View Samples
accession-icon GSE38124
Characterization of cisplatin-induced transcriptomics responses in primary mouse hepatocytes, HepG2 cells and mouse embryonic stem cells shows a strong conservation of involved transcription factors
  • organism-icon Mus musculus, 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

Characterisation of cisplatin-induced transcriptomics responses in primary mouse hepatocytes, HepG2 cells and mouse embryonic stem cells shows conservation of regulating transcription factor networks.

Sample Metadata Fields

Cell line, Treatment, Time

View Samples
accession-icon SRP124289
Drop-seq analysis of wild-type (TLAB) zebrafish embryos from high to 6-somite stage (12 timepoints)
  • organism-icon Danio rerio
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Wild-type zebrafish embryos were mechanically dissociated and profiled using Drop-seq Overall design: Drop-seq was performed on 28 groups of 20-40 visually staged, mechanically dissociated embryos. Samples were combined and sequenced in batches DS2-DS5.

Publication Title

Single-cell reconstruction of developmental trajectories during zebrafish embryogenesis.

Sample Metadata Fields

Subject

View Samples
accession-icon SRP043080
Transcriptomic profiling of peripheral blood mononuclear cells from healthy individuals
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Substantial effort is currently devoted to identifying cancer-associated alterations using genomics. Here, we show that standard blood collection procedures rapidly change the transcriptional and post-transcriptional landscapes of hematopoietic cells, resulting in biased activation of specific biological pathways, up-regulation of pseudogenes, antisense RNAs, and unannotated coding isoforms, and RNA surveillance inhibition. Affected genes include common mutational targets and thousands of other genes participating in processes such as chromatin modification, RNA splicing, T and B cell activation, and NF-?B signaling. The majority of published leukemic transcriptomes exhibit signals of this incubation-induced dysregulation, explaining up to 40% of differences in gene expression and alternative splicing between leukemias and reference normal transcriptomes. The effects of sample processing are particularly evident in pan-cancer analyses. We provide biomarkers that detect prolonged incubation of individual samples, and show that keeping blood on ice markedly reduces changes to the transcriptome. In addition to highlighting the potentially confounding effects of technical artifacts in cancer genomics data, our study emphasizes the need to survey the diversity of normal as well as neoplastic cells when characterizing tumors. This study is complemented by GSE61410: transcriptomic profiling of bone marrow cells from healthy individuals. Overall design: Peripheral blood mononuclear cells (PBMCs) were isolated from four healthy individuals, following an ex vivo incubation of variable length at either room temperature or on ice. RNA transcriptomes were measured using the Illumina HiSeq.

Publication Title

Sample processing obscures cancer-specific alterations in leukemic transcriptomes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE38122
Expression Profiles of HepG2 cells treated with 7M of the genotoxic compound cisplatin
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The transcriptomic changes induced in the human liver cell line HepG2 by 7M of cisplatin after treatment for 12, 24 and 48h

Publication Title

Characterisation of cisplatin-induced transcriptomics responses in primary mouse hepatocytes, HepG2 cells and mouse embryonic stem cells shows conservation of regulating transcription factor networks.

Sample Metadata Fields

Cell line, Treatment, Time

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