Longitudinal Saliva Omics Responses to Immune Perturbation: A Case Study [Saliva RNA-sequencing]
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA428256 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR6493260_1.fastq.gz | Fastqsanger.gz | |||
| SRR6493260_2.fastq.gz | Fastqsanger.gz | |||
| SRR6493270_1.fastq.gz | Fastqsanger.gz | |||
| SRR6493270_2.fastq.gz | Fastqsanger.gz | |||
| SRR6493280_1.fastq.gz | Fastqsanger.gz |
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Project description:Longitudinal Saliva Omics Responses to Immune Perturbation: A Case Study [saliva small RNA-seq]
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Project description:The investigation includes findings from our clinical trial, monitoring individualized response to pneumococcal vaccination, where we have carried out integrative profiling assessment of saliva pre and post vaccination in a single individual. This is to our knowledge the most extensive saliva-centered omics dataset on an individual, covering 100 timepoints over the course of one year. The time span covers a healthy period as well as comprehensive monitoring of innate and adaptive immune responses following pneumococcal vaccination. Protein and RNA from saliva were produced at each timepoint (100 timepoints), and mass spectrometry proteomics and RNA-sequencing were carried out for all samples in non-targeted comprehensive profiling. Specifically, a single individual (male, 38) was profiled over multiple timepoints during healthy periods, as well as post treatment with pneumococcal vaccine (PPSV23). Initially pre-immunization samples, including a 24 hour period with hourly sampling (samples P1052515H07-P1052615H08), were collected to provide a comparative baseline. A subsequent 24-hour time course was performed, with again hourly samples taken pre and post vaccination (P1060715H07-P1060815H06). The PPSV23 pneumococcal vaccine was admistered inbetween timepoints at approximately 10.30am, prior to datapoint P1060715H11. Following the vaccination, and after the 24 hour monitoring, daily samples were taken for about a month (up to sample P1070715H08), to capture innate and adaptive responses in saliva. Two more weekly samples followed, with then monthly samples till the end of the investigation. Omics sample analysis includes: RNA-sequencing of total RNA, small RNA sequencing in saliva extracellular vesicles and saliva mass spectrometry proteomics. Note on sample naming: The sample identifier/name P1MMDDYYHhh corresponds to: patient index:P1, date MMDDYY and hour hh preceded by H using 24 hour enumeration.
2020-01-31 | GSE108664 | GEO
Project description:The investigation includes findings from our clinical trial, monitoring individualized response to pneumococcal vaccination, where we have carried out integrative profiling assessment of saliva pre and post vaccination in a single individual. This is to our knowledge the most extensive saliva-centered omics dataset on an individual, covering 100 timepoints over the course of one year. The time span covers a healthy period as well as comprehensive monitoring of innate and adaptive immune responses following pneumococcal vaccination. Protein and RNA from saliva were produced at each timepoint (100 timepoints), and mass spectrometry proteomics and RNA-sequencing were carried out for all samples in non-targeted comprehensive profiling. Specifically, a single individual (male, 38) was profiled over multiple timepoints during healthy periods, as well as post treatment with pneumococcal vaccine (PPSV23). Initially pre-immunization samples, including a 24 hour period with hourly sampling (samples P1052515H07-P1052615H08), were collected to provide a comparative baseline. A subsequent 24-hour time course was performed, with again hourly samples taken pre and post vaccination (P1060715H07-P1060815H06). The PPSV23 pneumococcal vaccine was admistered inbetween timepoints at approximately 10.30am, prior to datapoint P1060715H11. Following the vaccination, and after the 24 hour monitoring, daily samples were taken for about a month (up to sample P1070715H08), to capture innate and adaptive responses in saliva. Two more weekly samples followed, with then monthly sample till the end of the investigation. Omics sample analysis includes: RNA-sequencing of total RNA, small RNA sequencing in saliva extracellular vesicles and saliva mass spectrometry proteomics. Note on sample naming: The sample identifier/name P1MMDDYYHhh corresponds to: patient index:P1, date MMDDYY and hour hh preceded by H using 24 hour enumeration.
2020-01-31 | GSE108666 | GEO
Project description:Saliva omics has immense potential for non-invasive diagnostics, including monitoring very young or elderly populations, or individuals in remote locations. In this study, multiple saliva omics from an individual were monitored over three periods (100 timepoints) involving: (1) hourly sampling over 24 h without intervention, (2) hourly sampling over 24 h including immune system activation using the standard 23-valent pneumococcal polysaccharide vaccine, (3) daily sampling for 33 days profiling the post-vaccination response. At each timepoint total saliva transcriptome and proteome, and small RNA from salivary extracellular vesicles were profiled, including mRNA, miRNA, piRNA and bacterial RNA. The two 24-h periods were used in a paired analysis to remove daily variation and reveal vaccination responses. Over 18,000 omics longitudinal series had statistically significant temporal trends compared to a healthy baseline. Various immune response and regulation pathways were activated following vaccination, including interferon and cytokine signaling, and MHC antigen presentation. Immune response timeframes were concordant with innate and adaptive immunity development, and coincided with vaccination and reported fever. Overall, mRNA results appeared more specific and sensitive (timewise) to vaccination compared to other omics. The results suggest saliva omics can be consistently assessed for non-invasive personalized monitoring and immune response diagnostics.
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2023-02-21 | GSE212531 | GEO
Project description:The gut microbiome has been implicated in multiple human chronic gastrointestinal (GI) disorders. Determining its mechanistic role in disease pathogenesis has been difficult due to the apparent disconnect between animal and human studies and a lack of an integrated multi-omics view in the context of disease-specific physiological changes. We integrated longitudinal multi-omics data from the gut microbiome, metabolome, host epigenome and transcriptome in the context of irritable bowel syndrome (IBS) host physiology. We identified IBS subtype-specific and symptom-related variation in microbial composition and function. A subset of identified changes in microbial metabolites correspond to host physiological mechanisms that are relevant to IBS. By integrating multiple data layers, we identified purine metabolism as a novel host-microbial metabolic pathway in IBS with translational potential. Our study highlights the importance of longitudinal sampling and integrating complementary multi-omics data to identify functional mechanisms that can serve as therapeutic targets in a comprehensive treatment strategy for chronic GI diseases.
2020-03-13 | GSE146853 | GEO
Project description:DNA methylation has become increasingly recognized in the etiology of psychiatric disorders. Because brain tissue is not accessible in living humans, epigenetic studies are most often conducted in blood. Saliva is often collected for genotyping studies but is rarely used to examine DNA methylation because the proportion of epithelial cells and leukocytes varies extensively between individuals. The goal of this study was to evaluate whether saliva DNA is informative for studies of psychiatric disorders. Saliva and blood methylation was clearly distinguishable though there was positive correlation overall. There was little correlation in CpG sites within relevant candidate genes. Correlated CpG sites were more likely to occur in areas of low CpG density (i.e. CpG shores and open seas). There was more variability in CpG sites from saliva than blood, which may reflect its heterogeneity. Thus, this study provides a framework for using DNA methylation from saliva and suggests that DNA methylation of saliva may offer distinct opportunities for epidemiological and longitudinal studies of psychiatric traits.
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Project description:A comprehensive platform for analyzing longitudinal multi-omics data
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