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GSE56530
Homo sapiens
30 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The transcriptome of hMSC in late passages was compared to hMSC in early passages. Both hMSC were obtained from the umbilical vein of three donors, two of hMSC have a normal karyotype (MSC/n) and another has a constitutional paracentric chromosomal inversion (hMSC/inv).
Publication Title
No associated publication
Sample Metadata Fields
Specimen part
View Samples- Rattus norvegicus
- 24 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
The piperazine derivatives most frequently consumed for recreational purposes are 1-benzylpiperazine (BZP), 1-(3,4-methylenedioxybenzyl)piperazine (MDBP), 1-(3-trifluoromethylphenyl)piperazine (TFMPP), and 1-(4-methoxyphenyl)piperazine (MeOPP). Currently it is unclear whether piperazine designer drugs induce mechanisms of hepatotoxicity and, if so, whether they act by a common mechanism.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [AltAnalyz probeset-to-Ensembl mapping (huex10st)
Description
A growing body of evidence points to the essential role of bone marrow (BM) tumor microenvironment in Multiple Myeloma (MM) maintenance and progression. Mesenchymal stem cells (MSC) are one of the most important players in this scenario. Through direct and indirect interactions, these cells support MM cells by promoting increase of proliferation, migration, survival, and drug resistance. Additionally, an increasing number of evidence has been demonstrating that MSC from MM patients (MM-MSC) have several abnormalities when compared with their normal counterpart from normal donors (ND-MSC). Therefore, the aimed of our study was to explore the differences between MM-MSC and ND-MSC through gene expression analysis.
Publication Title
Transcriptome Analysis of Mesenchymal Stem Cells from Multiple Myeloma Patients Reveals Downregulation of Genes Involved in Cell Cycle Progression, Immune Response, and Bone Metabolism.
Sample Metadata Fields
Sex, Age, Specimen part, Disease stage, Subject
View Samples- Homo sapiens
- 555 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Exploring gene expression biomarker candidates for neurobehavioral impairment from total sleep deprivation.
Sample Metadata Fields
Subject, Time
View Samples- Homo sapiens
- 199 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Healthy human adults were recruited to a sleep lab at Washington State University and remained there 7 consecutive days. Six received a well-rested Control condition of 10 h Time-In-Bed (TIB) nightly.
Publication Title
Exploring gene expression biomarker candidates for neurobehavioral impairment from total sleep deprivation.
Sample Metadata Fields
Subject, Time
View Samples- Homo sapiens
- 193 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Healthy human adults were recruited to a sleep lab at Washington State University and remained there 7 consecutive days. Six received a well-rested Control condition of 10 h Time-In-Bed (TIB) nightly.
Publication Title
Exploring gene expression biomarker candidates for neurobehavioral impairment from total sleep deprivation.
Sample Metadata Fields
Subject, Time
View Samples- Homo sapiens
- 163 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Healthy human adults were recruited to a sleep lab at Washington State University and remained there 7 consecutive days. Six received a well-rested Control condition of 10 h Time-In-Bed (TIB) nightly.
Publication Title
Exploring gene expression biomarker candidates for neurobehavioral impairment from total sleep deprivation.
Sample Metadata Fields
Subject, Time
View Samples- Homo sapiens
- 51 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
As part of the civil aviation safety program to define the adverse effects of ethanol on flying performance, we present results of our DNA microarray analysis of samples from a timecourse study of individuals given ethanol orally, and then evaluated by breathalyzer to monitor blood alcohol content (BAC). At five blood alcohol levels, T1-T5, blood was drawn such that the samples represented 0%, 0.04%, 0.08% BAC, and return to 0.04%, and 0.02% BAC. Microarray analysis showed that changes in gene expression could be detected across the time-course. We verified these expression changes by quantitative polymerase chain reaction (qPCR). Candidate target genes identified from the microarray analysis were clustered by expression change pattern, examined for shared functions and functional network membership. Five coordinately expressed groups were revealed and functional analysis showed shared transcription factor binding sites and functions for members of the clusters. These functions include protein synthesis and modification, expected for changes in gene expression, hematological and immune functions, expected for a blood sample, and pancreatic and hepatic function, expected as response to ethanol. The results provide a first look at changing gene expression patterns in blood during acute increase of ethanol concentration and its depletion due to metabolism or excretion and demonstrate that it is possible to detect significant changes in gene expression using total RNA isolated from whole blood. The analysis approach for this study can be utilized as part of a workflow to identify target genes by timecourse changes in gene expression that may affect pilot performance.
Publication Title
Microarray characterization of gene expression changes in blood during acute ethanol exposure.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
A tissue like buccal mucosa (from cheek swabs) would be an ideal sample material for rapid, easy collection for testing of biomarkers as an alternative to blood. A limited number of studies, primarily in the smoker/oral cancer literature, address this tissue's efficacy for quantitative PCR or microarray gene expression analysis. In this study both qPCR and microarray analyses were used to evaluate gene expression in buccal cells. An initial study comparing blood and buccal cells from the same individuals looked at relative amounts of four genes. The RNA isolated from buccal cells was degraded but was of sufficient quality to be used with RT-qPCR to detect expression of specific genes. Second, buccal cell RNA was used for microarray-based differential gene expression studies by comparing gene expression between smokers and nonsmokers. The isolation and amplification protocol allowed use of 150-fold less buccal cell RNA than had been reported previously with human microarrays. We report here the finding of a small number of significant gene expression differences between smokers and nonsmokers, using buccal cells as target material. Additionally, Gene Set Enrichment Analysis confirmed that these genes were changing expression in the same pattern as seen in an earlier buccal cell study performed by another group. Our results suggest that in spite of a high degree of RNA degradation, buccal cells from cheek mucosa could be used to detect differential gene expression between smokers and nonsmokers. However the RNA degradation, increase in sample variability and microarray failure rate show that buccal samples should be used with caution as source material in expression studies.
Publication Title
Examining smoking-induced differential gene expression changes in buccal mucosa.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 21 Downloadable Samples
- Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
We compared gene expression at ages P4 and P60 in sciatic nerve of wild type mice and mice with peripheral neuropathies caused by altered Pmp22 gene dosage (homozygous knockout or transgene) or a point mutation (Trembler).
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples