{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Stanley S"],"funding":["NICHD NIH HHS","NIAID NIH HHS","Wellcome Trust","NIGMS NIH HHS"],"pagination":["e570-e580"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11229950"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["5(6)"],"pubmed_abstract":["Background
Bacterial diversity could contribute to the diversity of tuberculosis infection and treatment outcomes observed clinically, but the biological basis of this association is poorly understood. The aim of this study was to identify associations between phenogenomic variation in Mycobacterium tuberculosis and tuberculosis clinical features.Methods
We developed a high-throughput platform to define phenotype-genotype relationships in M tuberculosis clinical isolates, which we tested on a set of 158 drug-sensitive M tuberculosis strains sampled from a large tuberculosis clinical study in Ho Chi Minh City, Viet Nam. We tagged the strains with unique genetic barcodes in multiplicate, allowing us to pool the strains for in-vitro competitive fitness assays across 16 host-re"],"journal":["The Lancet. Microbe"],"pubmed_title":["Identification of bacterial determinants of tuberculosis infection and treatment outcomes: a phenogenomic analysis of clinical strains."],"pmcid":["PMC11229950"],"funding_grant_id":["75N93019C00071","U19 AI142793","T32 AI132120","097124/Z/11/Z","T32 GM135014","T32 AI049928","T32 HD040128","T32 AI007535","P01 AI132130","P01 AI143575","U19 AI107774"],"pubmed_authors":["Chao MC","Thu DDA","Caws M","Fortune SM","Thuong NTT","Hicks ND","Chase MR","Liu Q","Thai PVK","Spaulding CN","Karpinski WM","Marin M","Stanley S","Quang NL","Howard NC","Farhat MR","Ha DTM","Brown J","Lan NH","Wang X","Dunstan SJ","Vickers AJ"],"additional_accession":[]},"is_claimable":false,"name":"Identification of bacterial determinants of tuberculosis infection and treatment outcomes: a phenogenomic analysis of clinical strains.","description":"Background
Bacterial diversity could contribute to the diversity of tuberculosis infection and treatment outcomes observed clinically, but the biological basis of this association is poorly understood. The aim of this study was to identify associations between phenogenomic variation in Mycobacterium tuberculosis and tuberculosis clinical features.Methods
We developed a high-throughput platform to define phenotype-genotype relationships in M tuberculosis clinical isolates, which we tested on a set of 158 drug-sensitive M tuberculosis strains sampled from a large tuberculosis clinical study in Ho Chi Minh City, Viet Nam. We tagged the strains with unique genetic barcodes in multiplicate, allowing us to pool the strains for in-vitro competitive fitness assays across 16 host-re","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jun","modification":"2026-06-01T13:36:29.762Z","creation":"2025-04-04T11:24:38.382Z"},"accession":"S-EPMC11229950","cross_references":{"pubmed":["38734030"],"doi":["10.1016/S2666-5247(24)00022-3"]}}