{"links":{"first":"https://www.ebi.ac.uk/metagenomics/api/v1/samples/ERS8488166/studies?format=json&page=1","last":"https://www.ebi.ac.uk/metagenomics/api/v1/samples/ERS8488166/studies?format=json&page=1","next":null,"prev":null},"data":[{"type":"studies","id":"MGYS00006277","attributes":{"bioproject":"PRJEB48645","accession":"MGYS00006277","samples-count":36,"is-private":false,"last-update":"2023-08-05T07:48:50","secondary-accession":"ERP133037","centre-name":"CHU","public-release-date":null,"study-abstract":"The aim of this study is to assess the prognostic value of lung microbiota in critically ill influenza patients. Every PCR-proven influenza patient admitted to intensive care unit of two hospitals for respiratory failure during 2019-2020 pandemics were included (NCT04131296). Sputum or tracheal aspirates were sampled and DNA extraction was performed by QIAamp® PowerFecal® Pro DNA kit (QIAgen®). V3-V4 regions of 16SRNA coding gene was amplified to analyse the bacterial kingdom of lung microbiota (bacteriobiota) and ITS2 to analyse the fungal kingdom (mycobiota). Sequencing (2x250bp paired-end reads) was performed on MiSeq sequencer (Illumina®) and DADA2 pipeline on R software was used for bioinformatics analyses.","study-name":"Lung microbiota but not mycobiota predicts day 28 mortality in critically ill influenza patients: a feasibility study","data-origination":"SUBMITTED"},"relationships":{"samples":{"links":{"related":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006277/samples?format=json"}},"biomes":{"links":{"related":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006277/biomes?format=json"},"data":[{"type":"biomes","id":"root:Host-associated:Human:Respiratory system:Pulmonary system:Lung","links":{"self":"https://www.ebi.ac.uk/metagenomics/api/v1/biomes/root:Host-associated:Human:Respiratory%20system:Pulmonary%20system:Lung?format=json"}}]},"downloads":{"links":{"related":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006277/downloads?format=json"}},"analyses":{"links":{"related":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006277/analyses?format=json"}},"publications":{"links":{"related":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006277/publications?format=json"}},"geocoordinates":{"links":{"related":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006277/geocoordinates?format=json"}}},"links":{"self":"https://www.ebi.ac.uk/metagenomics/api/v1/studies/MGYS00006277?format=json"}}],"meta":{"pagination":{"page":1,"pages":1,"count":1}}}