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accession-icon GSE56810
H2BGFP
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Loss of neuronal 3D chromatin organization causes transcriptional and behavioural deficits related to serotonergic dysfunction.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE48437
Loss of neuronal 3D chromatin organization causes transcriptional and behavioral deficits related to serotonergic dysfunction [expression]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The interior of the eukaryotic cell nucleus is a highly organized 3D structure. In mature hippocampal and cortical pyramidal neurons, transcriptionally silent DNA is typically compacted in a few clusters referred to as chromocenters that are strongly stained with DNA intercalating agents like DAPI and whose function is still uncertain. We found that this 3D structure was severely disrupted by the incorporation of the chimeric histone H2BGFP into neuronal chromatin. Experiments in inducible and forebrain restricted bitransgenic mice demonstrated that the expression of this histone alters the higher-order organization of neuronal heterochromatin and causes a complex behavioral phenotype that includes hyperactivity, and social interaction, prepulse inhibition and cognitive defects. This phenotype was associated with highly specific transcriptional deficits that affected several serotonin receptor genes located at the edge of gene desert regions. Pharmacological and electrophysiological experiments indicate that this epigenetically-induced hyposerotonergic state may underlie the behavioral defects. Our results suggest a new role for perinuclear heterochromatin and chromocenter organization in the epigenetic regulation of neuronal gene expression and mental illness.

Publication Title

Loss of neuronal 3D chromatin organization causes transcriptional and behavioural deficits related to serotonergic dysfunction.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE5116
Genomic Pathways of 17-beta-Estradiol Induced Malignant Cell Transformation in Human Breast Epithelial Cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The estrogen-dependence of breast cancer has long been recognized, however, the role of 17-estradiol (E2) in cancer initiation was not known until we demonstrated that it induces complete neoplastic transformation of the human breast epithelial cells MCF-10F. E2-treatment of MCF-10F cells progressively induced high colony efficiency and loss of ductulogenesis in early transformed (trMCF) cells and invasiveness in Matrigel invasion chambers. The cells that

Publication Title

Epithelial to mesenchymal transition in human breast epithelial cells transformed by 17beta-estradiol.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26457
Defining the Genomic Signature of the Parous Breast
  • organism-icon Homo sapiens
  • sample-icon 110 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

It is widely accepted that a womans lifetime risk of developing breast cancer at menopause is reduced by early full term pregnancy and multiparity. This phenomenon is associated with the development and differentiation of the breast, which ultimately imprints a specific genomic profile in the mammary epithelium. In the present work we demonstrate that this profile represents a permanent signature that could be associated with the breast cancer risk reduction conferred by pregnancy.

Publication Title

Defining the genomic signature of the parous breast.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE63624
Expression data for 52 microsatellite stable (MSS) primary tumors from patients with proximal colon cancer.
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Samples were taken from surgically resected tumor specimens from patients with proximal colon cancer. The expression profiles were determined using the Affymetrix GeneChip Human Exon 1.0 ST Array version 2. APC gene mutation status was determined using Sanger sequencing. A classifier for APC mutation status was trained using these expression data.

Publication Title

Wild-type APC predicts poor prognosis in microsatellite-stable proximal colon cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE107551
Mechanical stretch induced transcriptomic profiles in cardiac myocytes II
  • organism-icon Rattus norvegicus
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The effect of cyclic mecanical stretch on cardiac gene expression was studied in neonatal rat ventricular myocytes (NRVMs).

Publication Title

Mechanical stretch induced transcriptomic profiles in cardiac myocytes.

Sample Metadata Fields

Treatment

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accession-icon GSE17002
Gene expression in mature pollen and sperm cells versus young seedling as a vegetative sporophyte reference control
  • organism-icon Oryza sativa
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Sperm cells represent the male partner that fuses with the egg cell during fertilization in all multi-cellular eukaryotic organisms, and, in flowering plants, is a founder of both embryo and nutritive endosperm. We examined the transcriptome of Oryza sativa ssp. japonica using the Affymetrix 57K rice genome GeneChip to provide an overview of genes activated in the paternal gamete.

Publication Title

Transcriptome-based examination of putative pollen allergens of rice (Oryza sativa ssp. japonica).

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP126674
Extreme heterogeneity of influenza virus infection in single cells
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Viral infection can dramatically alter a cell''s transcriptome. However, these changes have mostly been studied by bulk measurements on many cells. Here we use single-cell mRNA sequencing to examine the transcriptional consequences of influenza virus infection. We find extremely wide cell-to-cell variation in production of viral gene transcripts -- viral transcripts compose less than a percent of total mRNA in many infected cells, but a few cells derive over half their mRNA from virus. Some infected cells fail to express at least one viral gene, and this gene absence partially explains variation in viral transcriptional load. Despite variation in total viral load, the relative abundances of viral mRNAs are fairly consistent across infected cells. Activation of innate immune pathways is rare, but some cellular genes co-vary in abundance with the amount of viral mRNA. Overall, our results highlight the complexity of viral infection at the level of single cells. Overall design: Dataset consists of a total of five single-cell datasets generated using the 10x Genomics Chromium Single Cell 3'' Solution platform. All samples were generated from a tissue culture infection model using A549 cells from ATCC and Influenza A/WSN/1933 virus. Uninfected control sample identically processed. Infected samples were generated from cells infected for 6, 8, and 10 hours with a single replicate at 8 hours.

Publication Title

Extreme heterogeneity of influenza virus infection in single cells.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon GSE2116
SHR-WKY
  • organism-icon Rattus norvegicus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Left ventricular gene expression profiles from 12-, 16- and 20-months old spontaneously hypertensive rats (SHRs) were compared with left ventricular profiles seen in age-matched Wistar-Kyoto (WKY) rats by screening Affymetrix U34A arrays (there are 4 samples in each timepoint except 3 samples of 20-months old WKYs).

Publication Title

Distinct upregulation of extracellular matrix genes in transition from hypertrophy to hypertensive heart failure.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE5417
Expression data of control-shRNA and SATB1-shRNA expressing MDA-MB-231 cells from 2D and 3D culture system
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

We examined whether SATB1 functions as a global gene regulator in order to maintain the aggressive phenotype of the MDA-MB-231 cell line. We compared the gene expression profiles between control_shRNA-MDA-MB-231 cells, which express SATB1 at high levels, and SATB1_shRNA1-MDA-MB-231 in which the level of SATB1 was greatly downregulated by RNAi technology. This comparative studies were performed using two different platforms (Codelink and Affymetrix genechip) with two culture conditions either on plastic dish (2D) or on matrigel (3D) which allows cells to form a breast-like morphology only for non-aggressive cells.

Publication Title

SATB1 reprogrammes gene expression to promote breast tumour growth and metastasis.

Sample Metadata Fields

No sample metadata fields

View Samples
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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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