RNA sequencing of cell free saliva
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA608266 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We sequenced RNA from a pool of ten RNA samples originally extracted from cell free saliva of healthy women. The aim was to find the most abundant genes. We sequenced 1254 genes (with more than 49 reads). Out of them, 28 were splicing factors (2.23%).
2020-08-05 | GSE145796 | GEO
Project description:Saliva is a convenient non-invasive source of liquid biopsy to monitor human health and diagnose diseases. In particular, extracellular vesicles (EVs) in saliva can potentially reveal clinically relevant information for systemic health. Recent studies have shown that RNA in saliva EVs could be exploited as biomarkers for disease diagnosis. However, there is no standardized protocol for profiling RNA in saliva EV nor clear guideline on selecting saliva fractions for biomarker analysis. To address these issues, we established a robust protocol for small RNA profiling from fractionated saliva. With this method, we performed comprehensive small RNA sequencing of four saliva fractions, including cell-free saliva (CFS), EV-depleted saliva (EV-D), exosome (EXO), and microvesicle (MV) from ten healthy volunteers. Methods: To address these issues, we established a robust protocol for small RNA profiling from fractionated saliva. With this method, we performed comprehensive small RNA sequencing of four saliva fractions, including cell-free saliva (CFS), EV-depleted saliva (EV-D), exosome (EXO), and microvesicle (MV) from ten healthy volunteers.
2023-01-07 | GSE222014 | GEO
Project description:We compared the transcriptomic content of salivary exosomes vs. whole saliva via microarray (Affymetrix HU133 plus 2.0). Unstimulated saliva samples and derived exosome-like microvesicles were obtained from 3 healthy volunteers and processed for RNA isolation and microarray analysis.
2014-09-10 | E-GEOD-50700 | biostudies-arrayexpress
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:We compared the transcriptomic content of salivary exosomes vs. whole saliva via microarray (Affymetrix HU133 plus 2.0).
2014-09-10 | GSE50700 | 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:The goal of this observational study is to screen and differentiate common cancers in participants with or without suspicious lesions. The main question the investigators aim to answer is: Can the developed model, using peripheral blood cell-free DNA sequencing, work well in screening and classifying common cancers especially in the early stages? Participants will undergo the collection of 15~20ml of blood and 1~2 telephone follow-up calls.
| 91903 | ecrin-mdr-crc
Project description:The present study was conducted in the frame of the EU-funded Graphene Flagship project. We previously evaluated the impact of graphene oxide (GO) on the gut microbiome in adult zebrafish by performing 16S rRNA gene sequencing in wild-type versus AhR-deficient zebrafish. Here, we performed single-cell RNA-sequencing (10x Genomics) on whole (dissociated) germ-free (GF) zebrafish embryos exposed at 5 dpf to GO plus the microbial metabolite butyrate to gain insight into the impact on specific cell populations in GF zebrafish.
2022-07-22 | E-MTAB-11984 | biostudies-arrayexpress
Project description:Longitudinal Saliva Omics Responses to Immune Perturbation: A Case Study [Saliva RNA-sequencing]
| PRJNA428256 | ENA
Project description:Genome wide DNA methylation profiling of saliva samples in Parkinson's disease (PD) patients and PD-free controls. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles. Samples included 128 PD patients and 131 controls with saliva DNA.
2018-03-02 | GSE111223 | GEO