Ontology highlight
ABSTRACT:
PROVIDER: PRJNA599023 | ENA |
REPOSITORIES: ENA
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Project description:Integrative multi-omic approaches have been increasingly applied to discovery and functional studies of complex human diseases. Short-term preoperative antibiotics have been adopted to reduce site infections in colorectal cancer (CRC) resections. We hypothesize that the antibiotics will impact analysis of multi-omic datasets generated from resection samples to investigate biological CRC risk factors. To assess the impact of preoperative antibiotics on integrated microbiome and human transcriptomic data generated from archived frozen CRC resection samples. Genomic DNA (gDNA) and RNA were extracted from 51 pairs of frozen sporadic CRC tumor and adjacent non-tumor mucosal samples from 50 CRC patients archived at a single medical center. 16S rRNA gene sequencing (V3V4 region, paired end (PE), 300 bp) and confirmatory quantitative polymerase chain reaction (qPCR) assays were conducted on gDNA. RNA sequencing IPE, 125bp) was performed on parallel tumor and non-tumor RNA samples with RNA Integrity Numbers (RIN) scores ≥ 6.
2021-04-21 | GSE165255 | GEO
Project description:Thermo RAW files for manuscript entitled: Multi-Omic Profiling Reveals Cannabidiol Disruption of Cholesterol Homeostasis in Human Cell Lines
authors: Guard, SE, Chapnick, DE, ... Old, WM
2020-05-27 | MSV000085479 | MassIVE
Project description:On going efforts are directed at understanding the mutualism between the gut microbiota and the host in breast-fed versus formula-fed infants. Due to the lack of tissue biopsies, no investigators have performed a global transcriptional (gene expression) analysis of the developing human intestine in healthy infants. As a result, the crosstalk between the microbiome and the host transcriptome in the developing mucosal-commensal environment has not been determined. In this study, we examined the host intestinal mRNA gene expression and microbial DNA profiles in full term 3 month-old infants exclusively formula fed (FF) (n=6) or breast fed (BF) (n=6) from birth to 3 months. Host mRNA microarray measurements were performed using isolated intact sloughed epithelial cells in stool samples collected at 3 months. Microbial composition from the same stool samples was assessed by metagenomic pyrosequencing. Both the host mRNA expression and bacterial microbiome phylogenetic profiles provided strong feature sets that clearly classified the two groups of babies (FF and BF). To determine the relationship between host epithelial cell gene expression and the bacterial colony profiles, the host transcriptome and functionally profiled microbiome data were analyzed in a multivariate manner. From a functional perspective, analysis of the gut microbiota's metagenome revealed that characteristics associated with virulence differed between the FF and BF babies. Using canonical correlation analysis, evidence of multivariate structure relating eleven host immunity / mucosal defense-related genes and microbiome virulence characteristics was observed. These results, for the first time, provide insight into the integrated responses of the host and microbiome to dietary substrates in the early neonatal period. Our data suggest that systems biology and computational modeling approaches that integrate “-omic” information from the host and the microbiome can identify important mechanistic pathways of intestinal development affecting the gut microbiome in the first few months of life. KEYWORDS: infant, breast-feeding, infant formula, exfoliated cells, transcriptome, metagenome, multivariate analysis, canonical correlation analysis 12 samples, 2 groups
2012-03-19 | E-GEOD-31075 | biostudies-arrayexpress
Project description:Approximately 15% of colorectal cancer (CRC) patients present with high levels of microsatellite instability (MSI-H), which is driven by defective mismatch repair (dMMR). While about 20% of MSI-H tumors are associated with the hereditary condition, Lynch syndrome (LS), the majority develop through non-hereditary mechanisms. In recent years, the molecular processes underpinning tumor development in LS patients has been debated, with the longstanding view that dMMR is a secondary process in CRC development of LS patients being questioned. Here, we performed the first multi-omic analysis of normal colon organoids developed from LS and healthy patients to address questions regarding the development of dMMR in LS colon epithelial cells from cancer-free individuals.
2023-06-01 | GSE210018 | GEO
Project description:Approximately 15% of colorectal cancer (CRC) patients present with high levels of microsatellite instability (MSI-H), which is driven by defective mismatch repair (dMMR). While about 20% of MSI-H tumors are associated with the hereditary condition, Lynch syndrome (LS), the majority develop through non-hereditary mechanisms. In recent years, the molecular processes underpinning tumor development in LS patients has been debated, with the longstanding view that dMMR is a secondary process in CRC development of LS patients being questioned. Here, we performed the first multi-omic analysis of normal colon organoids developed from LS and healthy patients to address questions regarding the development of dMMR in LS colon epithelial cells from cancer-free individuals.
2023-06-01 | GSE211221 | GEO
Project description:This study aims to understand the systemic component of psoriasis pathogenesis since psoriasis patients have higher risk of developing diesases beyond skin inflammation. In this study, we collected sigmoidal gut biopsies to profile host transcriptomic changes associated with psoriasis patients and healthy subjects. This exepriment provided transcriptomic dataset of host response and is integrated with fecal metagenomic data and flow cytometry dataset as part of the multi-omic study.
2020-06-30 | GSE150851 | GEO
Project description:Post-acute sequelae of COVID-19 (PASC) represent an emerging global crisis. However, quantifiable risk-factors for PASC and their biological associations are poorly resolved. We executed a deep multi-omic, longitudinal investigation of 309 COVID-19 patients from initial diagnosis to convalescence (2-3 months later), integrated with clinical data, and patient-reported symptoms. We resolved four PASC-anticipating risk factors at the time of initial COVID-19 diagnosis: type 2 diabetes, SARS-CoV-2 RNAemia, Epstein-Barr virus viremia, and specific autoantibodies. In patients with gastrointestinal PASC, SARS-CoV-2-specific and CMV-specific CD8+ T cells exhibited unique dynamics during recovery from COVID-19. Analysis of symptom-associated immunological signatures revealed coordinated immunity polarization into four endotypes exhibiting divergent acute severity and PASC. We find that immunological associations between PASC factors diminish over time leading to distinct convalescent immune states. Detectability of most PASC factors at COVID-19 diagnosis emphasizes the importance of early disease measurements for understanding emergent chronic conditions and suggests PASC treatment strategies.
2022-02-01 | E-MTAB-10129 | biostudies-arrayexpress
Project description:<p>The Vaginal Microbiome Consortium team at Virginia Commonwealth University has conducted the Multi-Omic Microbiome Study: Pregnancy Initiative (MOMS-PI) in collaboration with the Global Alliance to Prevent Prematurity and Stillbirth (GAPPS) to better understand how microbiome and host profiles change throughout pregnancy and influence the establishment of the nascent microbiome in neonates. The team particularly focused on elucidation of the role of the microbiome and its components in the etiology of preterm birth, which occurs in over 10% of pregnancies and which is the leading cause of death in neonates. Samples from 1594 women and their neonates were collected throughout pregnancy, at delivery and postpartum. The group has generated a comprehensive dataset of multiple omics technologies. This longitudinal, large-scale effort was designed to provide a large-scale resource for the scientific community. The study also permits characterization of temporal dynamics of the microbiome in pregnancy and factors associated with preterm birth.</p>
| phs001523 | dbGaP
Project description:<p>The mechanistic role of the airway microbiome in chronic obstructive pulmonary disease (COPD) remains largely unexplored. We present a landscape of airway microbe-host interactions in COPD by an in-depth profiling of sputum metagenome, metabolome, host transcriptome and proteome from 99 COPD patients and 36 healthy individuals. Multi-omic data were integrated using a sequential mediation analysis, to assess in silico associations of the microbiome with neutrophilic or eosinophilic inflammation, two primary COPD inflammatory endotypes, mediated through microbial metabolic interaction with host gene expression. Mechanistic links of microbiome-metabolite-host interaction were identified leveraging microbial genetic information and established metabolite-human gene pairs. The strongest link for neutrophil-predominant COPD was altered tryptophan metabolism driven by airway lactobacilli resulting in reduced indole-3-acetic acid (IAA), which was in turn linked to perturbed host IL-22 signaling and epithelial cell apoptosis pathways. In vivo and in vitro studies showed that airway microbiome-derived IAA mitigates neutrophilic inflammation, apoptosis, emphysema, and lung function decline, via IL-22-mediated macrophage-epithelial cell crosstalk. Intranasal inoculation of two airway lactobacilli restored IAA and recapitulated its protective effects in mice. These findings provide the rationale for therapeutically targeting microbe-host interaction in COPD.</p><p><br></p><p><strong>Linked studies:</strong></p><p><strong>UPLC-MS/MS assays</strong> of original cohort human samples are reported in this study.</p><p><strong>UPLC-MS/MS assays</strong> of more recent cohort human samples are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS5423' rel='noopener noreferrer' target='_blank'><strong>MTBLS5423</strong></a>.</p><p><strong>UPLC-MS/MS assays</strong> of more recent murine samples are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS6894' rel='noopener noreferrer' target='_blank'><strong>MTBLS6894</strong></a>.</p>
2022-06-20 | MTBLS4017 | MetaboLights
Project description:DNA methylation is an epigenetic mark that is altered in cancer and aging tissues. The effects of extrinsic factors on DNA methylation remain incompletely understood. Microbial dysbiosis is a hallmark of colorectal cancer, and infections have been linked to aberrant DNA methylation in cancers of the GI tract. To determine the microbiota’s impact on DNA methylation, we studied the DNA methylation of colorectal mucosa in germ-free (GF, no microbiome) and specific pathogen free (SPF, controlled microbiome) mice, as well as in interleukin 10 KO mice (Il10-/-) which are prone to inflammation and tumorigenesis in the presence of a microbiome. We compared DNA methylation changes to those seen in aging, and after exposure to the colon carcinogen azoxymethane (AOM). DNA methylation changes associated with aging were accelerated in the Il10-/- /SPF mice. By contrast, AOM induced profound hypomethylation that was distinct from the effects of aging or of the microbiome. CpG sites modified by the microbiome were over-represented among DNA methylation changes in colorectal cancer. Thus, the microbiome affects the DNA methylome of colorectal mucosa in patterns reminiscent of what is observed in colorectal cancer.
2023-05-09 | GSE150333 | GEO