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GSE30470
Homo sapiens
19 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Inattention, impulsivity and hyperactivity are the primary behaviors associated with Attention Deficit / Hyperactivity Disorder (ADHD). Previous studies proved that peripheral blood gene expression signature could mirror central nervous system disease.
Publication Title
Correlations of gene expression with ratings of inattention and hyperactivity/impulsivity in Tourette syndrome: a pilot study.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 92 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Blood from subjects with cardioembolic stroke and controls was collected, and the RNA extracted was interrogated and whole genome U133 Affymetrix Arrays. Twenty-three control samples and sixty-nine cardioembolic stroke samples were assayed.
Publication Title
Gene expression in peripheral immune cells following cardioembolic stroke is sexually dimorphic.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Proteomic analysis of Medulloblastoma reveals functional biology with translational potential.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
These gene expression microarrays were performed as part of a project aiming to integrate quantitative proteomic, gene expression and epigenetic data from the childhood brain tumor medulloblastoma.
Publication Title
Proteomic analysis of Medulloblastoma reveals functional biology with translational potential.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 752 Downloadable Samples
Illumina HiSeq 2000
Description
X-chromosome inactivation (XCI) provides a dosage compensation mechanism where, in each female cell, one of the two X chromosomes is randomly silenced. However, some genes on the inactive X chromosome and outside the pseudoautosomal regions escape from XCI and are expressed from both alleles (escapees). We investigated XCI at single-cell resolution combining deep single cellRNA sequencing with whole-genome sequencing to examine allelic-specific expression in 935 primary fibroblast and 48 lymphoblastoid single cells from five female individuals. In this framework we integrated an original method to identify and exclude doublets of cells. In fibroblast cells, we have identified 55 genes as escapees including five novel escapee genes. Moreover, we observed that all genes exhibit a variable propensity to escape XCI in each cell and cell type and that each cell displays a distinct expression profile of the escapee genes. A metric, the Inactivation Score—defined as the mean of the allelic expression profiles of the escapees per cell—enables us to discover a heterogeneous and continuous degree of cellular XCI with extremes represented by “inactive” cells, i.e., cells exclusively expressing the escaping genes from the active X chromosome and “escaping” cells expressing the escapees from both alleles. We found that this effect is associated with cell-cycle phases and, independently, with the XIST expression level, which is higher in the quiescent phase (G0). Single-cell allele-specific expression is a powerful tool to identify novel escapees in different tissues and provide evidence of an unexpected cellular heterogeneity of XCI. Overall design: Single-cell RNA seq study on 935 human fibroblasts and 48 lymphoblastoid cells from 5 female individuals, in order to investigate the X chromosome nactivation mechanism on a single cell level and to identify escapee genes
Publication Title
Single cell transcriptome in aneuploidies reveals mechanisms of gene dosage imbalance.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 9 Downloadable Samples
- Illumina HiSeq 2000
Description
Current prophylactic and therapeutic strategies targeting human influenza viruses include vaccines and antivirals. Given variable rates of vaccine efficacy and antiviral resistance, alternative strategies are urgently required to improve disease outcomes. Here we describe the use of HiSeq deep sequencing to analyze host gene expression in primary human alveolar epithelial type II (ATII) cells infected with highly pathogenic avian influenza H5N1 virus. We employed primary human ATII cells isolated from normal human lung tissue donated by patients that underwent lung resection. Human host gene expression following HPAI H5N1 virus (A/Chicken/Vietnam/0008/04) infection of primary ATII cells was analyzed using Illumina HiSeq deep sequencing. Overall design: Human non-tumor lung tissue samples were donated by three anonymous patients undergoing lung resection at Geelong Hospital, Barwon Health, Australia. The research protocols and human ethics were approved by the Human Ethics Committees of Deakin University, Barwon Health and the Commonwealth Scientific and Industrial Research Organisation (CSIRO). An informed consent was obtained from all tissue donors. All research were performed in accordance with the guidelines stated in the National Statement on Ethical Conduct in Human Research (2007). The sampling of normal lung tissue was confirmed by the Victorian Cancer Biobank, Australia.
Publication Title
Deep sequencing of primary human lung epithelial cells challenged with H5N1 influenza virus reveals a proviral role for CEACAM1.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 54 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Comparing Platforms for Messenger RNA Expression Profiling of Archival Formalin-Fixed, Paraffin-Embedded Tissues.
Sample Metadata Fields
Specimen part, Disease
View Samples- Homo sapiens
- 30 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
To study feasibility of gene expression profiling from FFPE tissues using NuGen amplified mRNA hybridized on Affymetrix GeneChip Human Gene 1.0 ST arrays, we designed a pilot study utilizing samples from prostate cancer cohort. We selected samples from large-scale epidemiologic studies and clinical trials representative of a wide variety of fixation times, block ages and block storage conditions.
Publication Title
Comparing Platforms for Messenger RNA Expression Profiling of Archival Formalin-Fixed, Paraffin-Embedded Tissues.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
To study feasibility of gene expression profiling from FFPE tissues using NuGen amplified mRNA hybridized on Affymetrix GeneChip Human Gene 1.0 ST arrays, we designed a pilot study utilizing samples from prostate cancer cohort. We selected samples from large-scale epidemiologic studies and clinical trials representative of a wide variety of fixation times, block ages and block storage conditions.
Publication Title
Comparing Platforms for Messenger RNA Expression Profiling of Archival Formalin-Fixed, Paraffin-Embedded Tissues.
Sample Metadata Fields
Disease
View Samples- Homo sapiens
- 32 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background---For decades, plasma lipid levels have been known risk factors of atherosclerosis. Recently, inflammation has gained acceptance as a crucial event in the pathogenesis and development of atherosclerosis. A number of studies have provided some insights into the relationships between the two aspects of atherosclerosis: plasma lipids --- the risk factors, and circulating leukocytes --- the effectors of inflammation. In this study, we investigate the relationships between plasma lipids and leukocytes.
Publication Title
Identifying leukocyte gene expression patterns associated with plasma lipid levels in human subjects.
Sample Metadata Fields
No sample metadata fields
View Samples