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Protocol for microbial profiling of low-biomass upper respiratory tract samples

  • Mari-Lee Odendaal
  • , Mei Ling J N Chu*
  • , Kayleigh Arp
  • , Gina J van Beveren
  • , Giske Biesbroek
  • , Justyna Binkowska
  • , Thijs Bosch
  • , James A Groot
  • , Raiza Hasrat
  • , Sjoerd Kuiling
  • , Elske M van Logchem
  • , Paula Lusarreta Parga
  • , Wouter A A de Steenhuijsen Piters
  • , Debby Bogaert*
  • *Corresponding author for this work
  • National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
  • Laboratory of Translational Immunology, University Medical Center Utrecht/Wilhelmina Children's Hospital, Utrecht, The Netherlands.
  • University of Amsterdam
  • University of Edinburgh
  • National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands.

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The upper respiratory tract (URT) microbiota plays a role in both acute and chronic respiratory health outcomes and consists of multiple ecologically distinct niches, all of which have low bacterial biomass. Here, we present a protocol for microbial profiling of low-biomass URT samples. We describe steps for collecting, storing, and extracting DNA. We then detail procedures for performing 16S rRNA sequencing, using an Illumina MiSeq platform, to characterize microbial communities. For complete details on the use and execution of this protocol, please refer to Odendaal et al.1.

Original languageEnglish
Article number103740
Number of pages18
JournalSTAR Protocols
Volume6
Issue number2
Early online date7 Apr 2025
DOIs
Publication statusPublished - 20 Jun 2025

Bibliographical note

Copyright © 2025 The Authors. Published by Elsevier Inc. All rights reserved.

Funding

The work described in the lead article 1 was conducted as part of the National Institute for Public Health and the Environment (RIVM) strategic project TRIuMPH. The serosurveys in the Netherlands (PIENTER-3) and in the Caribbean Netherlands (HSCN) were led by RIVM in close partnership with local Public Health Services (GGD) and Statistics Netherlands (CBS). We extend our gratitude to all volunteers who participated in this study. This work was partially supported by the Netherlands Organization for Scientific Research (NWO-VIDI; grant number 91715359 , awarded to D.B.) and the Chief Scientist Office / NHS Research Scotland through a Scottish Senior Clinical Fellowship award (SCAF/16/03, awarded to D.B.).

FundersFunder number
National Institute for Public Health and the Environment
Chief Scientist Office
Nederlandse Organisatie voor Wetenschappelijk Onderzoek91715359
NHS Research ScotlandSCAF/16/03
Rijksinstituut voor Volksgezondheid en MilieuPIENTER-3

    Keywords

    • Bioinformatics
    • Health Sciences
    • Microbiology
    • Molecular Biology
    • Sequence analysis
    • Sequencing

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