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GSE100833
Homo sapiens
477 Downloadable Samples
Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)
Description
Microarray Analysis of Human Whole Blood and Intestinal Biopsy Samples from a Phase 2b, Multicenter, Randomized, Double-blind, Placebo-controlled, Parallel-group Study of Ustekinumab in Crohns Disease
Publication Title
A functional genomics predictive network model identifies regulators of inflammatory bowel disease.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Treatment
View Samples- Homo sapiens
- 125 Downloadable Samples
Illumina HiSeq 2500
Description
This study focuses on inflammatory bowel disease gene expression profiling. Surgical specimens from 134 patients undergoing bowel resection for inflammatory bowel disease (IBD) and non IBD controls at Mount Sinai Medical Center were collected as the source of tissue. Control samples (CLs) were harvested from normal non inflamed bowel located more than 10 cm away from the tumor from patients undergoing bowel resection for sporadic colon cancer. Ulcerative colitis (UC) and Crohn’s (CD) patient samples were all isolated from areas containing moderate to severe inflammation. The diagnostic pathology report for each specimen was provided by the Mount Sinai Hospital Pathology Department. Patients with UC and patients with CD shared common medications including corticosteroids, infliximab, azathioprine, and mesalamine. Overall design: Surgical specimens from 134 patients undergoing bowel resection for inflammatory bowel disease (IBD) and non IBD controls at Mount Sinai Medical Center were collected as the source of tissue. Control samples (CLs) were harvested from normal non inflamed bowel located more than 10 cm away from the tumor from patients undergoing bowel resection for sporadic colon cancer. Ulcerative colitis (UC) and Crohn’s (CD) patient samples were all isolated from areas containing moderate to severe inflammation. The diagnostic pathology report for each specimen was provided by the Mount Sinai Hospital Pathology Department. Patients with UC and patients with CD shared common medications including corticosteroids, infliximab, azathioprine, and mesalamine. The samples were collected fresh and the tissue was further processed for isolation. A representative 0.5 cm tissue fragment was isolated from the collected surgical specimen samples, flash frozen and stored at -80C. Tissue was homogenized in Trizol following the manufacturer''s protocol (Life Technologies) and RNA extraction was performed. RIN scores >7 were used for Poly A RNA-seq.
Publication Title
A functional genomics predictive network model identifies regulators of inflammatory bowel disease.
Sample Metadata Fields
Sex, Subject
View Samples- Homo sapiens
- 419 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
With aging, significant changes in circadian rhythms occur, including a shift in phase toward a morning chronotype and a loss of rhythmicity in circulating hormones. However, the effects of aging on molecular rhythms in the human brain have remained elusive. Here we employed a previously-described time-of-death analyses to identify transcripts throughout the genome that have a significant circadian rhythm in expression in the human prefrontal cortex (Brodmanns areas (BA) 11 and 47). Expression levels were determined by microarray analysis in 146 individuals. Rhythmicity in expression was found in ~10% of detected transcripts (p<0.05). Using a meta-analysis across the two brain areas, we identified a core set of 235 genes (q<0.05) with significant circadian rhythms of expression. These 235 genes showed 92% concordance in the phase of expression between the two areas. In addition to the canonical core circadian genes, a number of other genes were found to exhibit rhythmic expression in the brain. Notably, we identified more than one thousand genes (1186 in BA11; 1591 in BA47) that exhibited age-dependent rhythmicity or alterations in rhythmicity patterns with aging. Interestingly, a set of transcripts gained rhythmicity in older individuals, which may represent a compensatory mechanism due to a loss of canonical clock function. Thus, we confirm that rhythmic gene expression can be reliably measured in human brain and identified for the first time significant changes in molecular rhythms with aging that may contribute to altered cognition, sleep and mood in later life.
Publication Title
Effects of aging on circadian patterns of gene expression in the human prefrontal cortex.
Sample Metadata Fields
Sex, Age, Specimen part, Race
View Samples- Homo sapiens
- 28 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details).
Publication Title
A conserved BDNF, glutamate- and GABA-enriched gene module related to human depression identified by coexpression meta-analysis and DNA variant genome-wide association studies.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 30 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details).
Publication Title
A conserved BDNF, glutamate- and GABA-enriched gene module related to human depression identified by coexpression meta-analysis and DNA variant genome-wide association studies.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 26 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details).
Publication Title
A conserved BDNF, glutamate- and GABA-enriched gene module related to human depression identified by coexpression meta-analysis and DNA variant genome-wide association studies.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 26 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details).
Publication Title
A conserved BDNF, glutamate- and GABA-enriched gene module related to human depression identified by coexpression meta-analysis and DNA variant genome-wide association studies.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details).
Publication Title
A conserved BDNF, glutamate- and GABA-enriched gene module related to human depression identified by coexpression meta-analysis and DNA variant genome-wide association studies.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Homo sapiens
- 25 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details).
Publication Title
A conserved BDNF, glutamate- and GABA-enriched gene module related to human depression identified by coexpression meta-analysis and DNA variant genome-wide association studies.
Sample Metadata Fields
Specimen part, Disease, Disease stage
View Samples- Sus scrofa
- 25 Downloadable Samples
- Affymetrix Porcine Genome Array (porcine)
Description
Postweaning multisystemic wasting syndrome (PMWS) is one of the pig diseases with major economic impact worldwide. Clinical, pathologic and some immunologic aspects of this disease are well-known, but the molecular mechanisms underlying pathogenic mechanisms of the disease are still poorly understood. The objective of the present study was to investigate the global changes in gene expression in the mediastinal lymph nodes from pigs naturally affected by PMWS and healthy counterparts, using the Affymetrix Porcine Genechip. This is the first study on gene expression in pigs naturally affected by PMWS. The present results allowed identifying potential mechanisms underlying the inflammation, lymphocyte depletion in lymphoid tissues and immune suppression, which are key features of PMWS.
Publication Title
Microarray analysis of mediastinal lymph node of pigs naturally affected by postweaning multisystemic wasting syndrome.
Sample Metadata Fields
Age, Specimen part, Disease, Disease stage
View Samples