Saliva-slovakia
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB20212 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR1906880.fastq.gz | Fastqsanger.gz | |||
| ERR1906900.fastq.gz | Fastqsanger.gz | |||
| ERR1906910.fastq.gz | Fastqsanger.gz | |||
| ERR1906920.fastq.gz | Fastqsanger.gz | |||
| ERR1906930.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 537 |
Similar Datasets
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:Exosomes were isolared from saliva od healthy individuals and head and neck cancer (HNSCC) patients.miRNA profiling of saliva-derived exosomes was perfomred using nCounter SPRINT system. Samples were grouped according to Healthy and Tumor based on their saliva-derived exosomal miRNA profile.
2022-06-28 | GSE207030 | GEO
Project description:Human saliva microbiota is phylogenetically divergent among host individuals yet their roles in health and disease are poorly appreciated. We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults. Saliva microbiota in the pilot population featured a vast diversity of functional genes. No significant distinction in gene number or diversity indices was observed between healthy and caries-active microbiota. However, co-presence network analysis of functional genes revealed that caries-active microbiota was more divergent in non-core genes than healthy microbiota, despite both groups exhibited a similar degree of conservation at their respective core genes. Furthermore, functional gene structure of saliva microbiota could potentially distinguish caries-active patients from healthy hosts. Microbial functions such as Diaminopimelate epimerase, Prephenate dehydrogenase, Pyruvate-formate lyase and N-acetylmuramoyl-L-alanine amidase were significantly linked to caries. Therefore, saliva microbiota carried disease-associated functional signatures, which could be potentially exploited for caries diagnosis. The DMFT INDEX (Decayed, Missing, Filled [DMF] teeth index used in dental epidemiology) values are provided for each sample
2013-08-15 | GSE49875 | 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:Exosomes were isolated from plasma and saliva of healthy individuals and head and neck cancer (HNSCC) patients. miRNA profiling of plasma- and saliva-derived exosomes was performed using nCounter SPRINT system. Diagnostic panels were selected from the exosomal miRNA profile.
2022-08-31 | GSE209670 | GEO
Project description:10 saliva samples from patients with primary Sojgren's syndrome and 10 saliva samples from control subjects Keywords: Biomarker development
2007-12-31 | GSE7451 | GEO
Project description:Human saliva microbiota is phylogenetically divergent among host individuals yet their roles in health and disease are poorly appreciated. We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults. Saliva microbiota in the pilot population featured a vast diversity of functional genes. No significant distinction in gene number or diversity indices was observed between healthy and caries-active microbiota. However, co-presence network analysis of functional genes revealed that caries-active microbiota was more divergent in non-core genes than healthy microbiota, despite both groups exhibited a similar degree of conservation at their respective core genes. Furthermore, functional gene structure of saliva microbiota could potentially distinguish caries-active patients from healthy hosts. Microbial functions such as Diaminopimelate epimerase, Prephenate dehydrogenase, Pyruvate-formate lyase and N-acetylmuramoyl-L-alanine amidase were significantly linked to caries. Therefore, saliva microbiota carried disease-associated functional signatures, which could be potentially exploited for caries diagnosis. The DMFT INDEX (Decayed, Missing, Filled [DMF] teeth index used in dental epidemiology) values are provided for each sample We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults.
2013-08-15 | E-GEOD-49875 | biostudies-arrayexpress
Project description:Exosomes are molecular entities derived from membrane vesicles of endocytic origin secreted by most cell types. These vesicles are implicated in cell-to-cell communication, deliver proteins and mRNA molecules between cells. Recent studies have shown that exosomes are found in body fluids such as saliva, blood, urine, amniotic fluid, malignant ascites, bronchoalveolar lavage fluid, synovial fluids and breast milk. Exosomes secreted through human saliva contain mRNA may potentially be useful for diagnostic purposes. Although the exact protective mechanism of saliva RNA is a topic of debate, the consensus is that the enrichment of mRNAs in these nano-vesicles in one of the features of the biomarker discoveries. Our aim was to determine if exosomes are present in human saliva and to nano-characterize their transcriptomic content. Exosomes were purified by differential ultracentrifugation, identified by immunoelectron microscopy, flow cytometry and western blot using a CD-63 antibody. Atomic force microscopy studies revealed ultra structural analysis of both size and density of exosomes. Microarray analysis revealed the presence of 590 mRNA core transcripts are relatively stable inside the exosomes, which can be of saliva mRNA biomarkers. Exosomal mRNA stability was determined by detergent lyses with treatment of RNase. Under in vitro conditions fluorescent dye labeled saliva exosomes were able to communicate between human oral keratinocytes studied by using fluorescence microscopy. The RNA from saliva exosomes can transfer their genetic information to human oral keratinocytes and alters gene expression in the new location. Together, these results suggest that saliva is involved in mRNA trafficking via exosomes, and provides a mechanism for cargoing passenger mRNAs. Our findings are consistent with proposal that exosomes can shuttle RNAs between cells and mRNA is protected inside these vesicles may be a possible resource for biomarker discovery. Experiment Overall Design: Human saliva exosomes were purified through differential centrifugation followed by RNA extraction and hybridization on Affymetrix microarrays. We were able to obtain normal human subjects saliva which are pooled and subjected to ultracentrifugation. The protocol was approved by UCLA Institutional review board. 1 ml of saliva exosomes were used to extract RNA followed by two rounds of amplification by Actorus Amp kit. The amplified RNA was biotin labled and hybridized with Affymetrix protocol.
2008-11-15 | E-GEOD-13494 | biostudies-arrayexpress