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accession-icon GSE7624
Expression Profiles of Monozygotic Twin
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The expression level for 15 887 transcripts in lymphoblastoid cell lines from 19 monozygotic twin pairs (10 male, 9 female) were analysed for the effects of genotype and sex. On an average, the effect of twin pairs explained 31% of the variance in normalized gene expression levels, consistent with previous broad sense heritability estimates. The effect of sex on gene expression levels was most noticeable on the X chromosome, which contained 15 of the 20 significantly differentially expressed genes. A high concordance was observed between the sex difference test statistics and surveys of genes escaping X chromosome inactivation. Notably, several autosomal genes showed significant differences in gene expression between the sexes despite much of the cellular environment differences being effectively removed in the cell lines. A publicly available gene expression data set from the CEPH families was used to validate the results. The heritability of gene expression levels as estimated from the two data sets showed a highly significant positive correlation, particularly when both estimates were close to one and thus had the smallest standard error. There was a large concordance between the genes significantly differentially expressed between the sexes in the two data sets. Analysis of the variability of probe binding intensities within a probe set indicated that results are robust to the possible presence of polymorphisms in the target sequences.

Publication Title

Replicated effects of sex and genotype on gene expression in human lymphoblastoid cell lines.

Sample Metadata Fields

Sex

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accession-icon GSE7486
Gene expression analysis in absence epilepsy using a monozygotic twin design
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Objective:

Publication Title

Gene expression analysis in absence epilepsy using a monozygotic twin design.

Sample Metadata Fields

Sex

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accession-icon GSE7036
Expression profiling in monozygotic twins discordant for bipolar disorder
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To identify genes dysregulated in bipolar disorder (BD1) we carried out global gene expression profiling using whole-genome microarrays. To minimize genetic variation in gene expression levels between cases and controls we compared expression profiles in lymphoblastoid cell lines from monozygotic twin pairs discordant for the disease. We identified 82 genes that were differentially expressed by 1.3-fold in 3 BD1 cases compared to their co-twins, and which were statistically (p 0.05) differentially expressed between the groups of BD1 cases and controls. Using qRT-PCR we confirmed the differential expression of some of these genes, including: KCNK1, MAL, PFN2, TCF7, PGK1, and PI4KCB, in at least 2 of the twin pairs. In contrast to the findings of a previous study by Kakiuchi and colleagues with similar discordant BD1 twin design1 our data do not support the dysregulation of XBP1 and HSPA5. From pathway and gene ontology analysis we identified up-regulation of the WNT signalling pathway and the biological process of apoptosis. The differentially regulated genes and pathways identified in this study may provide insights into the biology of BD1.

Publication Title

Expression profiling in monozygotic twins discordant for bipolar disorder reveals dysregulation of the WNT signalling pathway.

Sample Metadata Fields

Sex

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accession-icon SRP072829
Transcriptome analysis of CNS leukemia
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The goal of this study is to reveal the characters and therapeutic targets of CNS leukemia.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon SRP045672
RNA-seq transcriptome analysis of mouse cell lines
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Building the gene expression profiles and identifying the differentially expressed genes in specific comparisons.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP044280
Mus musculus Transcriptome or Gene expression
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq of single embryo

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE32715
Global gene expression analysis in murine iPS cells derived with Nanog orthologs
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Reprogramming capacity of Nanog is functionally conserved in vertebrates and resides in a unique homeodomain.

Sample Metadata Fields

Specimen part

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accession-icon GSE32464
Global gene expression analysis in murine iPS cells derived with mouse and human Nanog orthologs
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Nanog null neural stem (NS) cells were reprogrammed to naive pluripotency in 2i/LIF conditions with mouse (m) Nanog and human (h) Nanog. Global gene expression in resulting iPS cells was compared to embryonic stem (ES) cells and nanog null NS cells.

Publication Title

Reprogramming capacity of Nanog is functionally conserved in vertebrates and resides in a unique homeodomain.

Sample Metadata Fields

Specimen part

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accession-icon GSE32650
Global gene expression analysis in murine iPS cells derived with mouse, chick and zebrafish Nanog orthologs
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Nanog null neural stem (NS) cells were reprogrammed to naive pluripotency in 2i/LIF conditions with chick (c) and zebrafish (z) Nanog orthologs. Global gene expression was compared to iPS cells derived with mouse (m) Nanog.

Publication Title

Reprogramming capacity of Nanog is functionally conserved in vertebrates and resides in a unique homeodomain.

Sample Metadata Fields

Specimen part

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accession-icon GSE2192
Differentiation of NIH-3T3 cells to adipocytes by PPARg or EBF1 over-expression.
  • organism-icon Mus musculus
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

NIH-3T3 cells transduced with either EBF1-, PPARg2- or empty vector were stimulated with hormones to initiate adipocyte differentiation. RNA extraction was done using TriZol at d0, d2, d4 and d10 after stimulation. Samples were handled according to standard affymetrix protocols.

Publication Title

Gene expression analysis suggests that EBF-1 and PPARgamma2 induce adipogenesis of NIH-3T3 cells with similar efficiency and kinetics.

Sample Metadata Fields

No sample metadata fields

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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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