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accession-icon GSE14924
Characterisation of gene expression changes in T cells from patients presenting with AML compared with healthy T cells
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Work previously published by our group has demonstrated that T cells from patients with chronic lymphocytic leukaemia (CLL) show differentially regulated genes compared with healthy T cells. This study was initiated to examine if these gene expression changes were unique to CLL T cells or common to an alternative leukaemia, acute myeloid leukaemia (AML).

Publication Title

Peripheral blood T cells in acute myeloid leukemia (AML) patients at diagnosis have abnormal phenotype and genotype and form defective immune synapses with AML blasts.

Sample Metadata Fields

Sex, Age

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accession-icon SRP098795
RNA-seq data over Arabidopsis thaliana germination
  • organism-icon Arabidopsis thaliana
  • sample-icon 29 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1000

Description

RNAseq profiling of 10 time points during germination in Arabidopsis, from freshly harvested seed, through mature seed, stratification, germination and to post-germination. Overall design: Total RNA was extracted from Arabidopsis seeds at 10 time points during germination in triplicate. The time points were: freshly harvested seed (H), seeds following 15 days of ripening (0 h), seeds after; 1 h of stratification (1 h S), 12 h of stratification (12 h S), 48 h of stratification (48 h S), followed by seed collected 1 hour into the light (1 h SL), 6 hours into the light (6 h SL), 12 hours into the light (12 h SL), 24 hours into the light (24 h SL) and 48 hours into the light (48 h SL).

Publication Title

Extensive transcriptomic and epigenomic remodelling occurs during Arabidopsis thaliana germination.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon SRP049674
Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon

Description

We developed an affinity purification approach to isolate tagged nuclei in mice (similar to INTACT; [Deal R.B. and Henikoff S. A simple method for gene expression and chromatin profiling of individual cell types within a tissue. Dev. Cell 18,1030-1040. (2010)]) and used it to characterize genome-wide patterns of transcription, DNA methylation, and chromatin accessibility in 3 major neuron classes of the neocortex (excitatory pyramidal neurons, parvalbumin (PV)-positive GABAergic interneurons, and vasoactive intestinal peptide (VIP)-positive GABAergic interneurons). By combining cell purification and integrative analysis, our findings relate the phenotypic and functional complexity of neocortical neurons to their underlying transcriptional and epigenetic diversity. Overall design: RNA-seq, MethylC-seq, ATAC-seq, and ChIP-seq for histone modifications using INTACT-purified nuclei from the mouse neocortex

Publication Title

Epigenomic Signatures of Neuronal Diversity in the Mammalian Brain.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP006726
Gene expression analysis of breast cancer (HCC1954) and normal breast cells (HMEC)
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

While genetic mutation is a hallmark of cancer, many cancers also acquire epigenetic alterations during tumorigenesis including aberrant DNA hypermethylation of tumor suppressors as well as changes in chromatin modifications as caused by genetic mutations of the chromatin-modifying machinery. However, the extent of epigenetic alterations in cancer cells has not been fully characterized. Here, we describe the first complete methylome maps at single nucleotide resolution of a low-passage breast cancer cell line and primary human mammary epithelial cells. We find widespread DNA hypomethylation in the cancer cell, primarily at partially methylated domains (PMDs) in normal breast cells. Unexpectedly, genes within these regions are largely silenced in cancer cells. The loss of DNA methylation in these regions is accompanied by formation of repressive chromatin, with a significant fraction displaying allelic DNA methylation where one allele is DNA methylated while the other allele is occupied by histone modifications H3K9me3 or H3K27me3. Our results show a mutually exclusive and complementary relationship between DNA methylation and H3K9me3 or H3K27me3. These results suggest that global DNA hypomethylation in breast cancer is tightly linked to the formation of repressive chromatin domains and gene silencing, thus identifying a potential epigenetic pathway for gene regulation in cancer cells and suggesting a possible new approach toward the development of cancer therapeutics. Overall design: mRNA-Seq of polyA-selected RNA from breast cancer HCC1954 and normal breast HMEC. 36 cycles of sequencing on Illumina platform.

Publication Title

Global DNA hypomethylation coupled to repressive chromatin domain formation and gene silencing in breast cancer.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16131
Differences Between Follicular Lymphoma With and Without Translocation t(14;18)
  • organism-icon Homo sapiens
  • sample-icon 368 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Follicular lymphoma (FL) is genetically characterized by the presence of the t(14;18)(q32;q21) chromosomal translocation in approximately 90% of cases. In contrast to FL carrying the t(14;18), their t(14;18)-negative counterparts are less well studied regarding their immunohistochemical, genetic, molecular and clinical features. Within a previously published series of 184 FL grade 1-3A with available gene expression data, we identified 17 FL lacking the t(14;18). Comparative genomic hybridization and high resolution SNP array profiling demonstrated that gains/amplifications of the BCL2 gene locus in 18q were restricted to the t(14;18)-positive FL subgroup. A comparison of gene expression profiles revealed an enrichment of germinal center B-cell associated signatures in t(14;18)-positive FL, whereas activated B-cell like, NFB, proliferation and bystander cell signatures were enriched in t(14;18)-negative FL. These findings were confirmed by immunohistochemistry in an independent validation series of 84 FL, in which 32% of t(14;18)-negative FL showed weak or absent CD10 expression and 91% an increased Ki67 proliferation rate. Although overall survival did not differ between FL with and without t(14;18), our findings suggest distinct molecular features of t(14;18)-negative FL.

Publication Title

Follicular lymphomas with and without translocation t(14;18) differ in gene expression profiles and genetic alterations.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE47796
CEMA, a platform to define cell states
  • organism-icon Homo sapiens
  • sample-icon 82 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

gene expression database and algorithm to define cell expression modules

Publication Title

Identifying gene expression modules that define human cell fates.

Sample Metadata Fields

Specimen part

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accession-icon GSE3997
Impairment of organ-specific T cell negative selection by diabetes susceptibility genes: analysis by mRNA profiling
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Background. T cells in the thymus undergo opposing positive and negative selection processes so that the only T cells entering circulation are those bearing a T cell receptor (TCR) with a low affinity for self. The mechanism differentiating negative from positive selection is poorly understood, despite the fact that inherited defects in negative selection underlie organ-specific autoimmune disease in AIRE-deficient people and the non obese diabetic (NOD) mouse strain. Results. Here we use homogeneous populations of T cells undergoing either positive or negative selection in vivo together with genome-wide transcription profiling on microarrays to identify the gene expression differences underlying negative selection to an Aire-dependent organ-specific antigen, including the upregulation of a genomic cluster in the cytogenetic band 2F. Analysis of defective negative selection in the autoimmune-prone NOD strain demonstrates a global impairment in the induction of the negative selection response gene set, but little difference in positive selection response genes. Combining expression differences with genetic linkage data we identify differentially expressed candidate genes including Bim, Bnip3, Smox, Pdrg1, Id1, Pdcd1, Ly6c, Pdia3, Trim30 and Trim12. Conclusions. The data provide a molecular map of the negative selection response in vivo, and by analysis of deviations from this pathway in the autoimmune susceptible NOD strain, suggest that susceptibility arises from small expression differences in genes acting at multiple points in the pathway between the TCR and cell death.

Publication Title

Impairment of organ-specific T cell negative selection by diabetes susceptibility genes: genomic analysis by mRNA profiling.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE22824
Gene expression in retina and LGN of wild type and Chrnb2-/- mice
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Mice lacking the beta 2 subunit (Chrnb2) of the neuronal nicotinic acetylcholine receptor display altered retinal waves and disorganized projections of the retinal ganglion cells to the lateral geniculate nucleus (LGN). mRNA populations from retinas and LGN from Chrnb2-/-and wild type (C57BL/6J) mice were compared at 4 days postnatal, when RGC segregation to the LGN begins in WT mice. Retinal mRNAs were also compared at adulthood.

Publication Title

Mouse mutants for the nicotinic acetylcholine receptor ß2 subunit display changes in cell adhesion and neurodegeneration response genes.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE10846
Prediction of survival in diffuse large B cell lymphoma treated with chemotherapy plus Rituximab
  • organism-icon Homo sapiens
  • sample-icon 414 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling of DLBCL patient samples was performed to investigate, whether molecular gene expression signatures retain their prognostic significance in patients treated with chemotherapy plus Rituximab. The lymphnode, germinal center signature and a new angiogenesis signature were combined to a final multivariate model which defined quartile groups among Rituximab-CHOP-treated patients with distinct 3-year overall survival rates.

Publication Title

Stromal gene signatures in large-B-cell lymphomas.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Subject

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accession-icon GSE38955
Expression profiling of purified hematopoietic stem cells from patients with MDS and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Gene expression analysis on purified human long-term hematopoietic stem cells (LT-HSC; CD34+CD38-CD90+) and short-term HSC (ST-HSC; CD34+CD38-CD90-) derived from healthy control patients and patients with myelodysplastic syndrome (MDS)

Publication Title

Stem and progenitor cells in myelodysplastic syndromes show aberrant stage-specific expansion and harbor genetic and epigenetic alterations.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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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