Characterization and Functional Prediction of Bacteria in Ovarian Tissues.
Journal
Journal of visualized experiments : JoVE
ISSN: 1940-087X
Titre abrégé: J Vis Exp
Pays: United States
ID NLM: 101313252
Informations de publication
Date de publication:
23 10 2021
23 10 2021
Historique:
entrez:
8
11
2021
pubmed:
9
11
2021
medline:
6
4
2022
Statut:
epublish
Résumé
The theory of a "sterile" female upper reproductive tract has been encountering increasing opposition due to advancements in bacterial detection. However, whether ovaries contain bacteria has not yet been confirmed yet. Herein, an experiment to detect bacteria in ovarian tissues was introduced. We chose ovarian cancer patients in the cancer group and noncancerous patients in the control group. 16S rRNA gene sequencing was used to differentiate bacteria in ovarian tissues from the cancer and control groups. Furthermore, we predicted the functional composition of the identified bacteria by using BugBase and PICRUSt. This method can also be used in other viscera and tissues since many organs have been proven to harbor bacteria in recent years. The presence of bacteria in viscera and tissues may help scientists evaluate cancerous and normal tissues and may be aid in the treatment of cancer.
Substances chimiques
RNA, Ribosomal, 16S
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Video-Audio Media
Langues
eng
Sous-ensembles de citation
IM