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

Characterization and Functional Prediction of Bacteria in Ovarian Tissues

DOI:
10.3791/61878-v

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10:12 min

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October 23, 2021

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, , , , , , , , , , , ,
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

Chapters

  • 00:03Introduction
  • 01:10Collect Samples
  • 01:47Perform Bacterial LPS’s: Immunohistochemistry in Ovaries
  • 03:50Detect 16S rRNA Sequencing
  • 05:0216S rRNA Sequencing Analysis
  • 06:09Predict Bacteria Function
  • 06:36Data
  • 07:09Representative Result
  • 09:47Conclusion

Summary

Automatic Translation

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).

Tags

Keywords: BacteriaImmunohistochemistry16S RRNA SequencingCharacterizationFunctional PredictionCancerNon-cancerBoPsCellular-genetic InvestigationIn SituParaffin EmbeddingAntigen RetrievalAntibody StainingDAP SubstrateHRP PolymerDehydration16S RRNA Sequencing Library Preparation

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