Multi-omics profiling for individualized precision wellness
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA428253 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR6435710_1.fastq.gz | Fastqsanger.gz | |||
| SRR6435710_2.fastq.gz | Fastqsanger.gz | |||
| SRR6435720_1.fastq.gz | Fastqsanger.gz | |||
| SRR6435720_2.fastq.gz | Fastqsanger.gz | |||
| SRR6435730_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 380 |
Similar Datasets
Project description:Multi-omics profiling for individualized precision wellness [blood (PBMCs) RNA-seq]
| PRJNA428258 | ENA
Project description:The investigation includes findings from our clinical trial, monitoring individualized response to pneumococcal vaccination, where we have carried out integrative profiling on peripheral blood mononuclear cells (PBMCs) and 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 and PBMCs were produced at each timepoint (100 timepoints for saliva, 25 for PBMCs), 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. Concurrently, weekly or monthly PBMC samples were taken. Omics sample analysis includes: RNA-sequencing of total RNA in saliva and PBMCs. small RNA sequencing in saliva. Proteomics in saliva and PBMCs. small RNA from extracellular vesicles in saliva. Note on sample naming: The sample identifier/name P1MMDDYYHhh corresponds to: patient index:P1, date MMDDYY and hour hh preceded by H using 24hour enumeration. Overall the study produced 100 timepoints for saliva in the span of a year, as well as 30 PBMC samples.
2020-01-31 | GSE108665 | GEO
Project description:"The investigation includes findings from our clinical trial, monitoring individualized response to pneumococcal vaccination, where we have carried out integrative profiling on peripheral blood mononuclear cells (PBMCs) and saliva pre and post vaccination. This is to our knowledge the most extensive saliva-centered omics dataset on an individual, covering more than 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 and PBMCs were extracted at various timepoints (100+ timepoints for saliva, 25 for PBMCs), and mass spectrometry proteomics and RNA-sequencing were carried out for all samples in non-targeted comprehensive profiling.
Specifically, a single individual 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. Concurrently, weekly or monthly PBMC samples were taken.
Omics sample analysis includes: RNA-sequencing of total RNA in saliva and PBMCs. small RNA sequencing in saliva. Proteomics in saliva and PBMCs. For the Proteomics, samples were ran in sets of 6 (5 timepoints + common reference from pooled sample sets), using Tandem Mass Tagged (TMT labeling, 6-plex).
Note on sample naming: The sample identifier/name P1MMDDYYHhh corresponds to: patient index:P1, date MMDDYY and hour hh preceded by H using 24hour enumeration, based on EST times.
2017-12-28 | MSV000081869 | MassIVE
Project description:This SuperSeries is composed of the SubSeries listed below.
2020-01-31 | GSE108667 | GEO
Project description:As Asians are underrepresented across many omics databases limiting the potential of precision medicine of the global population. It is thus important for multi-omics derived quantitative trait loci (QTLs) to fill the knowledge gap of complex traits in the Asian ancestry. Integrating omics data from genomics and epigenomics (including DNA methylation and RNA-seq from blood), we developed iMOMdb, an open-acesss database to enhance disease prediction models and precision medicine outcomes in Asian pregnant women.
2022-10-04 | GSE182409 | GEO
Project description:Longitudinal multi-omics profiling of prediabetes
| PRJNA497500 | ENA
Project description:Longitudinal multi-omics profiling of prediabetes
| PRJNA497499 | ENA
Project description:Joint profiling of chromatin accessibility and gene expression from the same single cell provides critical information about cell types in a tissue and cell states during a dynamic process. These emerging multi-omics techniques help the investigation of cell-type resolved gene regulatory mechanisms. Here, we developed in situ SHERRY after ATAC-seq (ISSAAC-seq), a highly sensitive and flexible single cell multi-omics method to interrogate chromatin accessibility and gene expression from the same single cell. We demonstrated that ISSAAC-seq is sensitive and provides high quality data with orders of magnitude more features than existing methods. Using the joint profiles from thousands of nuclei from the mouse cerebral cortex, we uncovered major and rare cell types together with their cell-type specific regulatory elements and expression profiles. Finally, we revealed distinct dynamics and relationships of transcription and chromatin accessibility during an oligodendrocyte maturation trajectory.
2022-06-15 | E-MTAB-11264 | biostudies-arrayexpress
Project description:Multi-omics profiling of paired primary and recurrent glioblastoma patient tissues
| EGAD00010001895 | EGA
Project description:Multi-omics molecular profiling was performed on post-radical prostatectomy material from a cohort of 132 patients with localized prostate adenocarcinoma. Unsupervised classification techniques were used to build a comprehensive classification of prostate tumours based on three molecular levels: DNA copy number, DNA methylation, and mRNA expression.
2018-07-09 | E-MTAB-6127 | biostudies-arrayexpress