Characterization and Functional Prediction of Bacteria in Ovarian Tissues

Lanbo Zhao; Weichu Zhao; Qi Wang; Dongxin Liang; Yu Liu; Guoxing Fu; Lu Han; Yiran Wang; Chao Sun; Qing Wang; Qing Song; Qiling Li; Qinrui Lu

doi:10.3791/61878

Journal

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Cancer Research

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Characterization and Functional Prediction of Bacteria in Ovarian Tissues

JoVE Journal
Cancer Research
Author Produced

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JoVE Journal Cancer Research

Characterization and Functional Prediction of Bacteria in Ovarian Tissues

2,739 Views

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10:12 min

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October 23, 2021

DOI:

10.3791/61878-v

DOI:

10.3791/61878-v

•

10:12 min

October 23, 2021

•

2730 Views

Lanbo Zhao*¹, Weichu Zhao*², Qi Wang*¹, Dongxin Liang¹, Yu Liu³, Guoxing Fu⁴, Lu Han¹, Yiran Wang¹, Chao Sun¹, Qing Wang¹, Qing Song¹, Qiling Li¹, Qinrui Lu¹

¹Department of Obstetrics and Gynecology,First Affiliated Hospital of Xi’an Jiaotong University ²School of Social Sciences,University of Manchester ³Department of Pathology,First Affiliated Hospital of Xi’an Jiaotong University ⁴Omega Bioservices Inc

Summary

Immunohistochemistry staining and 16S ribosomal RNA gene (16S rRNA gene) sequencing were performed in order to discover and distinguish bacteria in cancerous and noncancerous ovarian tissues in situ. The compositional and functional differences of the bacteria were predicted by using BugBase and Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt).