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accession-icon GSE46816
Gene expression data from 8 pairs of CD138+/- myeloma cell lines
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

8 pairs of myeloma cell lines were sorted by MACS CD138-microbead, and the each cell lines were divided into two fraction CD138+ and CD138-.

Publication Title

RARα2 expression confers myeloma stem cell features.

Sample Metadata Fields

Cell line

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accession-icon SRP061835
Characterization of t(15;21) translocations in myeloid disorders
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We report on two novel t(15;21) alterations [t(15;21)(q24;q22) and t(15;21)(q21;q22)], which led to concurrent disruption of RUNX1 and two translocation partner genes encoding for transcription factors (SIN3A, TCF12) Overall design: Examination of four different patients with myeloid disorders. 2 out of 4 have been analyzed by means RNAseq

Publication Title

t(15;21) translocations leading to the concurrent downregulation of RUNX1 and its transcription factor partner genes SIN3A and TCF12 in myeloid disorders.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34516
Brain transcriptomic profiling in idiopathic and LRRK2-associated Parkinson's disease
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

LRRK2 mutations are the most common genetic cause of Parkinsons disease (PD). We performed a whole-genome RNA profiling of locus coeruleus post-mortem tissue from idiopathic PD (IPD) and LRRK2-associated PD patients. The differentially expressed genes found in IPD and LRRK2-associated PD were involved in the gene ontology terms of synaptic transmission and neuron projection. In addition, in the IPD group we found associated genes belonging to the immune system. Pathway analysis of the differentially expressed genes in IPD was related with neuroactive-ligand receptor interaction and with immune system pathways. Specifically, the analysis highlighted differential expression of genes located in the chromosome 6p21.3 belonging to the class II HLA. Our findings support the hypothesis of a potential role of neuroinflammation and the involvement of the HLA genetic area in IPD pathogenesis. Future studies are necessary to shed light on the relation of immune system related pathways in the etiopathogenesis of PD.

Publication Title

Brain transcriptomic profiling in idiopathic and LRRK2-associated Parkinson's disease.

Sample Metadata Fields

Sex, Specimen part, Disease

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accession-icon GSE23290
Microarray expression analysis in idiopathic and LRRK2-associated Parkinson's disease
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

LRRK2 mutations are the most common genetic cause of Parkinsons disease (PD). We performed a whole-genome RNA profiling of putamen tissue from idiopathic PD (IPD), LRRK2-associated PD (G2019S mutation), neurologically healthy controls and one asymptomatic LRRK2 mutation carrier, by using the Genechip Human Exon 1.0-ST Array. The differentially expressed genes found in IPD revealed an alteration of biological pathways related to long term potentiation (LTP), GABA receptor signalling, and calcium signalling pathways, among others. These pathways are mainly related with cell signalling cascades and synaptic plasticity processes. They were also altered in the asymptomatic LRRK2 mutation carrier but not in the LRRK2-associated PD group. The expression changes seen in IPD might be attributed to an adaptive consequence of a dysfunction in the dopamine transmission. The lack of these altered molecular pathways in LRRK2-associated PD patients suggests that these cases could show a different molecular response to dopamine transmission impairment.

Publication Title

Microarray expression analysis in idiopathic and LRRK2-associated Parkinson's disease.

Sample Metadata Fields

Sex

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accession-icon GSE85991
Genome-wide Expression Profiling in pancreatic cancer cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Differential gene expression profiling in KMT2D-depleted MIA PaCa-2 cells was performed using Human Genome U133 Plus 2.0 Array

Publication Title

Lysine methyltransferase 2D regulates pancreatic carcinogenesis through metabolic reprogramming.

Sample Metadata Fields

Treatment

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accession-icon GSE51923
Idiopathic and LRRK2-associated Parkinson's disease
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Aberrant epigenome in iPSC-derived dopaminergic neurons from Parkinson's disease patients.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE51922
Microarray expression analysis in idiopathic and LRRK2-associated Parkinson's disease (PD)
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

We analysed the RNA profile of IPSC-derived dopaminergic neurons from idiophatic and genetic form (LRRK2) of Parkinsons disease (PD). Both, idiopathic and genetic form of the disease show similar expression alterations and were merged in one whole PD group. We found 437 differentially expressed genes (DEGs) in the PD group as a whole. Up-regulated DEGs (n=254) encompassed genes involved in neural functions and transcription factor functions whereas down-regulated DEGs (n=183) affected basic homeostasis. These data point towards the presence of gene - and also protein - expression changes in DAn from PD patients which co-occur simultaneously along with DNA methylation changes.

Publication Title

Aberrant epigenome in iPSC-derived dopaminergic neurons from Parkinson's disease patients.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage

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accession-icon GSE77908
Expression data from U-937 cells exposed to nanosecond duration electrical pulses
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

It is unclear how nanosecond electrical pulses affect gene expression.

Publication Title

Evaluation of the Genetic Response of U937 and Jurkat Cells to 10-Nanosecond Electrical Pulses (nsEP).

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE77907
Expression data from Jurkat Clone E-6 cells exposed to nanosecond duration electrical pulses
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

It is unclear how nanosecond electrical pulses affect gene expression.

Publication Title

Evaluation of the Genetic Response of U937 and Jurkat Cells to 10-Nanosecond Electrical Pulses (nsEP).

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE51021
DKK1 expression is down-regulated in the lymph node pre-metastatic niche in esophageal cancer
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Lymph node metastasis is a poor prognosis indicator in esophageal cancer. Although tumor spreading currently forms the main basis for therapy selection, the molecular mechanisms underlying the metastatic pathway remain insufficiently understood. Several studies aimed to investigate these mechanisms but focused mainly on regulatory patterns in the tumors themselves and/or the invaded lymph nodes. To date no study has yet investigated the potential changes on transcription level, which take place within the yet non-invaded niche. Here we provide a comprehensive description of these regulations in patients. In this study the transcriptomic profiles of regional lymph nodes were determined for two patient groups: patients classified as pN1 (metastasis) or pN0 (no metastasis) respectively. All investigated lymph nodes, also those from pN1 patients, were still free of metastasis. The gene expression data was obtained via microarray analysis. Top candidates were validated via PCR and immunohistochemistry. The results show that regional lymph nodes of pN1 patients differ decisively from those of pN0 patients even before metastasis has taken place. In the pN0 group distinct immune response patterns were observed. In contrast, lymph nodes of the pN1 group exhibited a clear profile of reduced immune response and reduced proliferation, but increased apoptosis, enhanced hypoplasia and morphological conversion processes. DKK1 was the most significant gene associated with the molecular mechanisms taking place in lymph nodes of patients suffering from metastasis (pN1). We assume that the two molecular profiles observed constitute two different stages of a progressive disease. Finally we suggest that DKK1 might play an important role within the mechanisms leading to lymph node metastasis.

Publication Title

Molecular changes in pre-metastatic lymph nodes of esophageal cancer patients.

Sample Metadata Fields

Specimen part, Subject

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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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