Laser capture microdissection as a method for investigating the human hair follicle microbiome reveals region-specific differences in the bacteriome profile.
16S rRNA sequencing
Hair follicles
Microbiome
Journal
BMC research notes
ISSN: 1756-0500
Titre abrégé: BMC Res Notes
Pays: England
ID NLM: 101462768
Informations de publication
Date de publication:
06 Mar 2023
06 Mar 2023
Historique:
received:
22
06
2022
accepted:
20
02
2023
entrez:
6
3
2023
pubmed:
7
3
2023
medline:
9
3
2023
Statut:
epublish
Résumé
Human hair follicles (HFs) are populated by a rich and diverse microbiome, traditionally evaluated by methods that inadvertently sample the skin microbiome and/or miss microbiota located in deeper HF regions. Thereby, these methods capture the human HF microbiome in a skewed and incomplete manner. This pilot study aimed to use laser-capture microdissection of human scalp HFs, coupled with 16S rRNA gene sequencing to sample the HF microbiome and overcome these methodological limitations. HFs were laser-capture microdissected (LCM) into three anatomically distinct regions. All main known core HF bacterial colonisers, including Cutibacterium, Corynebacterium and Staphylococcus, were identified, in all three HF regions. Interestingly, region-specific variations in α-diversity and microbial abundance of the core microbiome genera and Reyranella were identified, suggestive of variations in microbiologically relevant microenvironment characteristics. This pilot study therefore shows that LCM-coupled with metagenomics is a powerful tool for analysing the microbiome of defined biological niches. Refining and complementing this method with broader metagenomic techniques will facilitate the mapping of dysbiotic events associated with HF diseases and targeted therapeutic interventions.
Identifiants
pubmed: 36879274
doi: 10.1186/s13104-023-06302-5
pii: 10.1186/s13104-023-06302-5
pmc: PMC9987047
doi:
Substances chimiques
RNA, Ribosomal, 16S
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
29Subventions
Organisme : Monasterium Laboratory
ID : Monasterium Laboratory
Organisme : Deutsche Forschungsgemeinschaft
ID : CRC 1182
Organisme : Giuliani S.p.a
ID : Giuliani S.p.a
Informations de copyright
© 2023. The Author(s).
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