Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA326471 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Purpose: RNA-Seq analysis can help identify large set of differentially expressed genes at a time. We performed RNA-Seq analysis to identify differentially expressed genes in the PBMCs of war veterans suffering from PTSD. Methods: Total RNA from PBMCs from PTSD +ve and -ve individuals were used for RNA-Seq analysis. Results: We obtained, on average, ~60 millions reads per sample. More than 70% of the reads were mapped to human genome. Functional analysis of the differentially expressed genes (362) revealed dysregulation in immune system network. Conclusions: Our present study provides further proof that immune system related genes and pathways are dysregulated in PTSD PBMCs.
2016-08-26 | GSE83601 | GEO
Project description:Emerging knowledge suggests that post-traumatic stress disorder (PTSD) is causally associated with epigenetic changes although its molecular underpinnings are still largely elusive. We postulate that differentially methylated probes mined from peripheral whole blood could be candidates for potential PTSD diagnostic signatures. Working within the Systems Biology PTSD Biomarker Consortium (SBPBC), we investigated a training set comprising of 48 PTSD male veterans (CAPS > 40) and 51 age/ethnicity matched controls (CAPS < 20). Agilent whole genome array detected ~5,600 differentially methylated CpG islands (CpGI) annotated to ~2,800 differentially methylated genes (DMG). The majority (84.5%) of these DMGs was hypermethylated in PTSD veterans. Thereof ~30% promoter-bound DMGs were used for functional analysis. Taking cues from the clinical information, the curated networks were enlisted into four major clusters, namely PTSD-associated complications, PTSD-relevant endocrine signaling, nervous system development and nervous system functions. Enduring impacts of PTSD was manifested by differentially methylated genes enriching networks associated with LTP, fear memory architecture and complications linked to insulin resistance and innate immunity. These networks were further validated by an independent test set comprising of 31/29 PTSD+/- veteran selected using aforementioned screening protocol. Two independent assay platforms presented technical validations. Probing the combined 83/83 PTSD+/- cohort, whole genome array from Illumina, Inc. validated most of the networks of interest. Methylation statuses of eight DMGs relevant to PTSD and comorbidities were confirmed by targeted bisulfite sequencing. This list presents a potential set of PTSD biomarkers of translational potential.
2017-07-31 | GSE85399 | GEO
Project description:Emerging knowledge suggests that post-traumatic stress disorder (PTSD) is causally associated with epigenetic changes although its molecular underpinnings are still largely elusive. We postulate that differentially methylated probes mined from peripheral whole blood could be candidates for potential PTSD diagnostic signatures. Working within the Systems Biology PTSD Biomarker Consortium (SBPBC), we investigated a training set comprising of 48 PTSD male veterans (CAPS > 40) and 51 age/ethnicity matched controls (CAPS < 20). Agilent whole genome array detected ~5,600 differentially methylated CpG islands (CpGI) annotated to ~2,800 differentially methylated genes (DMG). The majority (84.5%) of these DMGs was hypermethylated in PTSD veterans. Thereof ~30% promoter-bound DMGs were used for functional analysis. Taking cues from the clinical information, the curated networks were enlisted into four major clusters, namely PTSD-associated complications, PTSD-relevant endocrine signaling, nervous system development and nervous system functions. Enduring impacts of PTSD was manifested by differentially methylated genes enriching networks associated with LTP, fear memory architecture and complications linked to insulin resistance and innate immunity. These networks were further validated by an independent test set comprising of 31/29 PTSD+/- veteran selected using aforementioned screening protocol. Two independent assay platforms presented technical validations. Probing the combined 83/83 PTSD+/- cohort, whole genome array from Illumina, Inc. validated most of the networks of interest. Methylation statuses of eight DMGs relevant to PTSD and comorbidities were confirmed by targeted bisulfite sequencing. This list presents a potential set of PTSD biomarkers of translational potential.
2019-09-01 | GSE89218 | GEO
Project description:Emerging knowledge suggests that post-traumatic stress disorder (PTSD) is causally associated with epigenetic changes although its molecular underpinnings are still largely elusive. We postulate that differentially methylated probes mined from peripheral whole blood could be candidates for potential PTSD diagnostic signatures. Working within the Systems Biology PTSD Biomarker Consortium (SBPBC), we compared 52 PTSD male veterans (CAPS > 40) and 52 age/ethnicity matched controls (CAPS < 20) and detected ~5,600 differentially methylated CpG islands (CpGI) annotated to ~2,800 differentially methylated genes (DMG). The majority (84.5%) of these DMGs was hypermethylated in PTSD veterans, and nearly 30% of those representing the focus group of the present study were differentially methylated in their promoter regions. These promoter-bound DMGs were significantly enriched in four major network-clusters comprising PTSD-associated complications, PTSD-relevant endocrine signaling, nervous system development and nervous system functions. The severity of some current PTSD symptoms was correlated with the increased risk of medical problems, which was captured in epigenetically perturbed networks associated with insulin resistance, circadian rhythm, innate immunity and telomere management. DMGs involved with addiction, fear sensitization and neurotransmissions were enriched in the networks of long term potentiation, depression and fear memory consolidation, and thereby potentially induced lasting impacts on brain. Finally, we curated a set of DMGs that co-enrich multiple PTSD-relevant networks, and we speculate that these genes are cooperative associated with PTSD risk. The present study emphasizes the need to validate these potential PTSD signatures by probing independent cross-sectional and prospective human cohorts.
2017-08-31 | GSE76401 | GEO
Project description:miRNA microarray with four controls and eight PTSD patients were included in the study. This study was performed to see if there is any alteration in the miRNA expression profile in the peripheral blood mononuclear cells (PBMCs) of PTSD patients (war veterans in this case). Microarray for the miRNAs was performed by Johns Hopkins Memorial Institute (Deep Sequencing and Microarray Core Facility), Baltimore. Total RNA, including mRNA, miRNA and other small RNA molecules, were isolated from PBMC samples by using total RNA isolation kit (AllPrep DNA/RNA/miRNA Universal Kit) from Qiagen. Next, total RNA samples were used in the analysis of miRNA differential expression by miRNA array hybridization assay using the Affymetrix miRNA-v1 gene chip. Linear fold-changes in miRNA up-regulation or down-regulation were calculated to compare the differences of all the miRNAs expressed between PTSD patients and controls.
2016-09-01 | E-MTAB-4880 | biostudies-arrayexpress
Project description:This pilot study enrolled 9 GWI (Gulf War Illness) cases identified from the Department of Veterans Affairs GWI registry, and 11 sedentary control veterans who had not been deployed to the Persian Gulf and were matched to cases by sex, body mass index (BMI) and age.<br>We exposed GWI patients and matched controls to an exercise challenge to explore differences in immune cell function measured by classic immune assays and gene expression profiling.
2009-02-24 | E-MEXP-2069 | biostudies-arrayexpress
Project description:Objective: Posttraumatic stress disorder (PTSD) affects a high proportion of returning combat veterans, but the biological mechanisms of PTSD remain unclear. Circulating micro RNAs (miRNAs) have been associated with depression, and anxiety disorders, but there is little understanding of how miRNAs may relate to PTSD. In this study we compare profiles of circulating miRNA in combat veterans with and without PTSD in order to better understand biological mechanisms of PTSD. Methods: Blood from 24 male military service members was collected following deployment to Operation Iraqi Freedom (OIF) or Operation Enduring Freedom (OEF), and subjects were assessed for PTSD symptoms using the PTSD checklist-military version. miRNA was isolated from whole blood and sequenced on the Ion Torrent PGM™ using the Ion 316 Chip v2. Differences in miRNA expression was compared between subjects with PTSD (N=15) and combat matched controls without PTSD (N=9). Significantly different miRNA, according to a FDR≤0.05, were assessed for predictive putative targets, and pathway analysis of related targets was completed. Results: PTSD was associated with 4 upregulated and 4 downregulated miRNA, including a 2.94 fold increase in miR-19a-3p and a 1.56 fold decrease in miR-15b. Pathway analysis show that PTSD is related to the axon guidance and Wnt signaling pathways, which work together along with the adherens junction and MAPK signaling pathways to support neuronal development through regulation of growth cones. The PTSD associated miRNAs related to transcription factors, including Transcription factor 7 (T-cell specific, HMG-box), Transcription factor 7 like 1, and Transcription factor 7 like 2. Conclusions: PTSD is associated with miRNAs that regulate biological functions that include neuronal activities, suggesting that they play a role in PTSD symptomatology.
2017-03-07 | GSE87768 | GEO
Project description:The biological underpinnings of post-traumatic stress disorder (PTSD) have not been fully elucidated. Previous work suggests that alterations in the immune system are characteristic of the disorder. Identifying the biological mechanisms by which such alterations occur could provide fundamental insights into the etiology and treatment of PTSD. Here we identify specific epigenetic profiles underlying immune system changes associated with PTSD. Using blood samples (n=100) obtained from an ongoing, prospective epidemiologic study in Detroit, the Detroit Neighborhood Health Study (DNHS), we applied methylation microarrays to assay CpG sites from over 14,000 genes among 23 PTSD-affected and 77 PTSD-unaffected individuals. We show that immune system functions are significantly overrepresented among the annotations associated with genes uniquely unmethylated among those with PTSD. We further demonstrate that genes whose methylation levels are significantly and negatively correlated with traumatic burden show a similar strong signal of immune function among the PTSD-affected. The observed epigenetic variability in immune function by PTSD is corroborated using an independent biological marker of immune response to infection, cytomegalovirus—a typically latent herpesvirus whose activity was significantly higher among those with PTSD. These results provide the first report of peripheral epigenomic and CMV profiles associated with mental illness and suggest a new biological model of PTSD etiology in which an externally experienced traumatic event induces downstream alterations in immune function by reducing methylation levels of immune-related genes. Bisulfite conversion of whole blood-derived DNA samples was performed using the EZ-96 DNA methylation kit from Zymo Research. One microgram (μg) of each sample (including controls) was subjected to bisulfite conversion following manufacturer’s recommended protocol. 100 samples were analyzed of which 23 are PTSD affected and 77 are PTSD-unaffected. There were four technical replicates comprised of duplicate samples of two randomly selected individuals from the n=100 and duplicate samples of the control human methylated and unmethylated DNA.
2010-05-12 | E-GEOD-21282 | biostudies-arrayexpress
Project description: Not available
| S-EPMC2531291 | biostudies-literature
Project description:RNA extracted at 240min. Samples are rRNA depleted. Expression measurement of Homo sapiens genes.
2019-07-31 | GSE114179 | GEO