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JoVE Journal Cancer Research
Characterization and Functional Prediction of Bacteria in Ovarian Tissues
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Characterization and Functional Prediction of Bacteria in Ovarian Tissues

Article DOI: 10.3791/61878-v • 10:12 min • October 23rd, 2021
October 23rd, 2021 •
*1, *2, *1, 1, 3, 4, 1, 1, 1, 1, 1, 1, 1
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
* These authors contributed equally

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Summary
Automatic Translation

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).

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Bacteria Characterization Functional Prediction Ovarian Tissues Immunohistochemistry Staining 16S RRNA Sequencing BoPs Cellular-genetic Investigation Reconstruction Of Unobserved Days Protocol Tumors Advantages Easy And Convenient Rapid Results Sterile Procedures Surgery Tissue Samples Liquid Nitrogen Preservation Formalin Fixation Paraffin Embedding
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