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This dataset describes microbiota, metabolites, and soluble immune components measured in bronchoalveolar lavage (BAL) fluids from children with severe asthma and age-matched controls. It provides the complete workflow and data outputs for BAL processing, 16S rRNA gene amplicon sequencing and bioinformatics, untargeted metabolomics analysis, and immune component assays, enabling multi-omics exploration of disease mechanisms and local 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Wilson","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-30","2026-09-29",true,{"@type":102,"interactionType":103,"userInteractionCount":8},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What types of biological data are included in these bronchoalveolar lavage datasets?","Question",{"text":112,"@type":113},"The datasets include 16S rRNA gene amplicon sequencing data, untargeted metabolomics results, and concentrations of soluble immune components measured in BAL samples.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How were the BAL samples collected and processed for analysis?",{"text":117,"@type":113},"Bronchoalveolar lavage samples were collected during endoscopy, followed by purification of DNA libraries and sequencing of amplicons, alongside metabolomics measurement by LC–HRMS and immune component assays.",{"name":119,"@type":110,"acceptedAnswer":120},"What downstream analyses does the article’s dataset support?",{"text":121,"@type":113},"The provided data and associated processing steps support multi-omics investigations of severe asthma mechanisms, identification of local signatures, and comparisons with other cohorts or reference uses for related pulmonary diseases.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},443192,1790742148,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":8,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":52,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144},3848291630094,"https://eur-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","Data in Brief 64 (2026) 112359  \nContents lists available at ScienceDirect  \nData in Brief  \njournal [homepage:](homepage: www.elsevier.com/locate/dib)[ www.elsevier.com/locate/dib](homepage: www.elsevier.com/locate/dib)  \nData Article  \nDatasets of 16S rRNA gene ampliconsequences, metabolites, and soluble immune components in bronchoalveolar lavage samples from severe asthmatic and  \nage-matched control children  \nMélanie Briarda,b, Blanche Guillon a, Eric Venota, Marta Grauso a, Aurélia Bruneau b, Marie-Noëlle Rossignol c, François Fenailled, Florence Castellid, Muriel Thomas b, Guillaume Lezmie,  \nMaria Leite-de-Moraes f, Karine Adel-Patient a, Vinciane Saint-Criqb,∗  \na Université Paris-Saclay, CEA, INRAE, UMR Département Médicaments et Technologies pour la Santé(DMTS)/SPI/Laboratoire d’Immuno-Allergie Alimentaire, 91191 Gif-sur-Yvette, France  \nbINRAE, Université Paris-Saclay, AgroParisTech, UMR1319 Micalis Institute, 78350 Jouy-en-Josas, France c Université Paris Saclay, INRAE, AgroParisTech, UMR1313 GABI, 78350 Jouy en Josas, France d Université Paris-Saclay, CEA, INRAE, UMR Département Médicaments et Technologies pour la Santé  \n(DMTS)/SPI/Laboratoire innovations en spectrométrie de masse pour la santé, MetaboHUB, 91191 Gif-sur-Yvette, France  \neAP-HP, Hôpital Necker-Enfants Malades, Service de Pneumologie et Allergologie Pédiatriques, Paris, France f Université de Paris Cité, Institut Necker Enfants Malades, Equipe Immunorégulation et Immunopathologie, Inserm UMR1151, CNRS UMR8253, F-75015, Paris, France  \na r t i c l e i n f o  \nArticle history:  \nReceived 18 September 2025 Revised 3 November 2025  \nAccepted 1 December 2025  \nAvailable online 7 December 2025  \n∗ Corresponding author.  \na b s t r a c t  \nSevere asthma (SA) is a heterogeneous condition characterized by multiple phenotypes, each characterized by different endotypes. Understanding the mechanisms occurring in the lungs of children with SA can help in understanding pathogenesis and in providing the most effective therapeutic strategies. This article describes microbiota, metabolites, and soluble immune components assessed in bronchoalveolar lavage (BAL) ﬂuids from children with severe asthma  \nE-mail [address:](address: Vinciane.saint-criq@inrae.fr)[ Vinciane.saint-criq@inrae.fr](address: Vinciane.saint-criq@inrae.fr) (V. Saint-Criq).  \nSocial media:  @vsaintcriq (V. Saint-Criq)  \n[https://doi.org/10.1016/j.dib.2025.112359](https://doi.org/10.1016/j.dib.2025.112359)  \n2352-3409/© 2025 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ([http://creativecommons.org/licenses/by/4.0/](http://creativecommons.org/licenses/by/4.0/))  \n2 M. Briard, B. Guillon and E. Venot et al. /Data in Brief 64 (2026) 112359  \nDataset link: Dataset of 16S rRNA Gene Amplicon Sequences in Bronchoalveolar Lavage Samples from Severe Asthmatic and Age-Matched Control Children (Original data)  \nDataset link: Dataset of untargeted metabolomics analysis of bronchoalveolar lavage samples from severe asthmatic and age-matched control children (Original data)  \nDataset link: Dataset of concentrations of soluble immune components in bronchoalveolar lavage samples from severe asthmatic and age-matched control children (Original data)  \nKeywords:  \nMicrobiome Metabolomics Cytokines  \nChildren Bronchoalveolar lavage  \n(n = 20) and age-matched disease controls (n = 10). The article includes: (i) the protocol used to process BAL samples for 16S rRNA gene amplicon sequencing, metabolomic proﬁling and immune components assays; (ii) the bioinformatics steps applied to 16S rRNA and metabolomics dataset; (iii) an overview of the raw 16S rRNA gene amplicon sequencing data, presented as ASV and aﬃliation tables, raw data from untargeted metabolomics and the abundances of each of the eighty eight metabolites annotated with the highest conﬁdence level, and concentrations of seventy three cytokines and of total IgG, IgA and IgE. Each dataset is available in th","cbCaiulzgmrK445j","https://ap.wps.com/l/cbCaiulzgmrK445j","pdf",487215,"English","# Article information\n## Abstract\n## Dataset links\n## Keywords\n## Specifications table\n## Dataset contents and methods","[{\"question\":\"What types of biological data are included in these bronchoalveolar lavage datasets?\",\"answer\":\"The datasets include 16S rRNA gene amplicon sequencing data, untargeted metabolomics results, and concentrations of soluble immune components measured in BAL samples.\"},{\"question\":\"How were the BAL samples collected and processed for analysis?\",\"answer\":\"Bronchoalveolar lavage samples were collected during endoscopy, followed by purification of DNA libraries and sequencing of amplicons, alongside metabolomics measurement by LC–HRMS and immune component assays.\"},{\"question\":\"What downstream analyses does the article’s dataset support?\",\"answer\":\"The provided data and associated processing steps support multi-omics investigations of severe asthma mechanisms, identification of local signatures, and comparisons with other cohorts or reference uses for related pulmonary diseases.\"}]","Datasets of 16S rRNA gene amplicon sequences, metabolites, and soluble immune components in bronchoalveolar lavage samples from severe asthmatic and age-matched control children | PDF",1790703237,25]