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accession-icon GSE137339
Gene expression profiling of primary hepatocytes stimulated with TGF-β in the presence/absence of Caveolin-1
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Primary murine hepatocytes were transfected with siRNA targeting Caveolin-1 directly after attachment (o/n). Next day, cells were treated with TGF-beta for 48 h. Experiment was performed in triplicate using primary cells from 3 donor mice.

Publication Title

Caveolin-1 Impacts on TGF-β Regulation of Metabolic Gene Signatures in Hepatocytes.

Sample Metadata Fields

Treatment

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accession-icon GSE137345
Hepatocypte-specific Caveolin-1 knockout livers
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

mRNA expression was compared between wild type and hepatocyte-specific caveolin-1 knockout livers in healthy and ​non-alcoholic fatty liver disease (NAFLD) mice

Publication Title

Hepatocyte caveolin-1 modulates metabolic gene profiles and functions in non-alcoholic fatty liver disease.

Sample Metadata Fields

Sex

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accession-icon SRP135818
Layer-specific molecular expression in neocortical astrocytes
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Protoplasmic astrocytes in layers II to VI of the mammalian neocortex have historically been thought to comprise a homogeneous population. Given that layer-specific neuronal subtypes play essential roles in cortical circuitry, astrocytes might also be expected to support and modify this circuitry in a layer-specific manner. In order to investigate whether protoplasmic astrocytes exhibit layer-specific heterogeneity, we compared the gene expression profiles of astrocytes between upper layers (layers II to IV) and deep layers (layers V and VI). Although most genes known to be preferentially expressed in astrocytes (astrocyte-enriched genes) were equally expressed between upper-layer astrocytes and deep-layer astrocytes, some such genes (astrocyte-enriched genes or genes with known function in astrocytes) were significantly enriched in upper-layer astrocytes or deep-layer astrocytes. Overall design: With the use of fluorescence-activated cell sorting (FACS), we prepared upper-layer astrocytes and deep-layer astrocytes from the corresponding dissected layers of the somatosensory cortex of Aldh1l1-eGFP mice, in which all astrocytes are expected to be labeled with GFP. The meninges, layer I, and the corpus callosum were removed from upper- and deep-layer tissue samples. In addition, parts of layers IV and V were lost during separation of these layers in such a way as to prevent cross-contamination between the upper- and deep-layer samples. Total RNA from upper-layer astrocytes and deep-layer astrocytes (n = 3 brains from 4-week-old male mice) was isolated from sorted cells with TRIzol (Invitrogen) or RNAiso Plus (Takara) and was then subjected to reverse transcription with the use of a SMART-Seq v4 Ultra Low Input RNA Kit for Sequencing (Clontech). Bar-coded libraries were prepared with a Nextera XT DNA Library Preparation Kit (Illumina), and single-end 36-bp sequencing was performed with a HiSeq 2500 instrument (Illumina).

Publication Title

Layer-specific morphological and molecular differences in neocortical astrocytes and their dependence on neuronal layers.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE6904
Expression data from mouse SCN after 30-min light pulse
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

The transmission of information about the photic environment to the circadian clock involves a complex array of neurotransmitters, receptors, and second messenger systems. Using laser capture microscopy and microarray analysis, a population of genes rapidly induced by light in the suprachiasmatic nucleus is identified.

Publication Title

Identification of novel light-induced genes in the suprachiasmatic nucleus.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP065478
Snai2 and Snai3 transcriptionally regulate cellular fitness and functionality of T cell lineages through distinct gene programs
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

T lymphocytes are essential contributors to the adaptive immune system and consist of multiple lineages that serve various effector and regulatory roles. As such, precise control of gene expression is essential to the proper development and function of these cells. Previously, we identified Snai2 and Snai3 as being essential regulators of immune tolerance partly due to the impaired function of CD4+ regulatory T cells in Snai2/3 conditional double knockout mice. Here we extend those previous findings using a bone marrow transplantation model to provide an environmentally unbiased view of the molecular changes imparted onto various T lymphocyte populations once Snai2 and Snai3 are deleted. The data presented here demonstrate that Snai2 and Snai3 transcriptionally regulate the cellular fitness and functionality of not only CD4+ regulatory T cells but effector CD8a+ and CD4+ conventional T cells as well. This is achieved through the modulation of gene sets unique to each cell type and includes transcriptional targets relevant to the survival and function of each T cell lineage. As such, Snai2 and Snai3 are essential regulators of T cell immunobiology. Overall design: GFP- CD3e+ CD8a+ CD4-, GFP- CD3e+ CD8a- CD4+ CD25- and GFP- CD3e+ CD8a- CD4+ CD25+ T cells were isolated from spleens of UBC-GFP mice transplanted with WT or cDKO lineage-depleted donor bone marrow following lethal irradiation of recipient mice. RNA-seq was performed on 3-4 biological replicates from each genotype for all T cell populations analyzed.

Publication Title

Snai2 and Snai3 transcriptionally regulate cellular fitness and functionality of T cell lineages through distinct gene programs.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP040561
Gene expression analysis of hair cell regeneration in the zebrafish lateral line
  • organism-icon Danio rerio
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Deafness due to the terminal loss of inner ear hair cells is one of the most common sensory diseases. However, non-mammalian animals (e.g. birds, amphibian and fish) regenerate damaged hair cells. In order to better understand the reasons underpinning such regeneration disparities in vertebrates, we set out to define the changes in gene expression associated with the regeneration of hair cells in the zebrafish lateral line at high resolution. We performed RNA-Seq analyses on regenerating support cells purified by fluorescence activated cell sorting (FACS). The zebrafish lateral line provides an experimentally accessible system to define the complex signaling events triggered by injury and regeneration, because these cells can be acutely killed by exposure to neomycin, after which they regenerate rapidly. Lateral line hair cells are located in the center of a mechanosensory organ known as the neuromast and are surrounded by inner support cells and an outer ring of mantle cells. Tg(sqET20) larvae express GFP strongly in mantle cells and to a lesser degree in inner support cells. We isolated GFP positive and GFP negative cells from 5 days post fertilization (dpf) Tg(sqET20) larvae at 1, 3 and 5 hours post neomycin treatment, as well as from a non-treated control. Overall design: Transgenic zebrafish Tg(sqET20) larvae at 5 days post fertilization were exposed to neomycin, dissociated, and FACS sorted into GFP positive and GFP negative populations at 1, 3, and 5 hours following treatment, along with a mock treated 1 hr control. The experiment was performed in triplicate, for a total of 24 samples.

Publication Title

Gene-expression analysis of hair cell regeneration in the zebrafish lateral line.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE20758
Expression data from LCM captured prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The prostate represents a complex mix of cell types and there is a need to analyze distinct cell populations to better understand their potential interactions. This study of cell-type specific gene expression patterns will contribute to understanding of how tumor epithelial cells may be affected by adjacent interstitial stromal cells within the tumor microenvirnonment.

Publication Title

Analysis of gene expression in prostate cancer epithelial and interstitial stromal cells using laser capture microdissection.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE53410
Identification of alternative splicing events regulated by the splicing factor SRSF1 using data from exon-junction microarray technologies
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [hjay.r1 version (huex10st)

Description

Analysis to identify genome-wide differential alternative splicing events in A549 cells in which the levels of the gene SRSF1 were down-regulated with a specific siRNA

Publication Title

Identification of alternative splicing events regulated by the oncogenic factor SRSF1 in lung cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-51
Transcription profiling of mouse pre-implantation development over twelve time points from the germinal vesicle (GV) stage oocyte to the late (expanded) blastocyst
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The goal of the experiments was to profile and analyze gene activity during murine pre-implantation development. Samples were collected at twelve time points from the germinal vesicle (GV) stage oocyte to the late (expanded) blastocyst.

Publication Title

A genome-wide study of gene activity reveals developmental signaling pathways in the preimplantation mouse embryo.

Sample Metadata Fields

Age

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accession-icon GSE76902
EventPointer: An effective identification of alternative splicing events using junction arrays
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

There is an increasing interest on the role of Alternative splicing (AS) in different pathologies. The Affymetrix Human Transcriptome Array (HTA 2.0) can be used to explore AS very efficiently. However, the interpretation software provided by its vendor (TAC 3.0) does not fully exploit its potential and can only be applied to case-control studies. EventPointer is an R package to identify Alternative Splicing events using HTA 2.0 arrays. It can be applied to complex experimental designs. The software provides a list of the detected events indicating the type of event (cassette, alternative 3, etc.), their statistical significance, and affected protein domains affected. The false positive rate is very low (the first detected false positive was ranked in the 149th position). EventPointer is publicly available at GitHub.

Publication Title

EventPointer: an effective identification of alternative splicing events using junction arrays.

Sample Metadata Fields

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)

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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