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
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.

Identifiants

pubmed: 34747406
doi: 10.3791/61878
doi:

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

Auteurs

Lanbo Zhao (L)

Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University.

Weichu Zhao (W)

School of Social Sciences, University of Manchester.

Qi Wang (Q)

Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University.

Dongxin Liang (D)

Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University.

Yu Liu (Y)

Department of Pathology, First Affiliated Hospital of Xi'an Jiaotong University.

Guoxing Fu (G)

Omega Bioservices Inc.

Lu Han (L)

Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University.

Yiran Wang (Y)

Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University.

Chao Sun (C)

Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University.

Qing Wang (Q)

Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University.

Qing Song (Q)

Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University.

Qiling Li (Q)

Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University; liqiling@mail.xjtu.edu.cn.

Qinrui Lu (Q)

Department of Obstetrics and Gynecology, First Affiliated Hospital of Xi'an Jiaotong University; junhuacao610@163.com.

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Classifications MeSH