Longitudinal kindergarten microbiome
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB26846 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Biogeography of Microorganisms in Kindergarten Reveals Higher Pathogenic Burden in Children Hands.
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Project description:The gene expression profile of blood drawn from healthy individuals was studied over a period of six months, at five time points. The gene expression profiles appeared to be constant over one month and to slightly vary over three months. A small proportion of genes were found to be differentially regulated according to gender. Differential gene regulation by age (in subjects 25–55 years of age versus subjects > 55 years of age) was not observed.
2009-05-09 | GSE16028 | GEO
Project description:The gene expression profile of blood drawn from healthy individuals was studied over a period of six months, at five time points. The gene expression profiles appeared to be constant over one month and to slightly vary over three months. A small proportion of genes were found to be differentially regulated according to gender. Differential gene regulation by age (in subjects 25â??55 years of age versus subjects > 55 years of age) was not observed. Experiment Overall Design: Healthy subjects were enrolled at a single site, their health status was determined by medical history, physical examination, and standard laboratory test values. Venous blood was drawn in the morning, from fasted subjects at five time points (Day1, Day14, Day28, Day 90 and Day 180). Blood was collected into PAXgene tubes (Becton-Dickinson Diagnostics; Hombrechtikon, Switzerland).
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Project description:Biogeography of Microorganisms in Kindergarten Reveals Higher Pathogenic Bacteria Proportion on Children Hands than Daily Items
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Project description:Carriage of Enterobacteriaceae producing extended spectrum beta-lactamases in kindergarten children in the Lao People’s Democratic Republic
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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.
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