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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients
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Screening for chronic prostatitis pathogens using high-throughput next-generation sequencing.

Yi Wu1, Haiyang Jiang2, Mingbo Tan2

  • 1Department of Clinical Laboratory Science, Shenzhen Seventh People's Hospital, Shenzhen, China.

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|March 13, 2020
PubMed
Summary
This summary is machine-generated.

This study found no specific pathogens in chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) patients. Urinary tract microbiome changes may cause CP/CPPS, suggesting non-microbial causes for this condition.

Keywords:
chronic prostatitisinfectionmicrobiotapelvic pain

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Area of Science:

  • Urology
  • Microbiology
  • Genomics

Background:

  • The causative agents of chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS), specifically NIH category III, remain unidentified.
  • This research employed high-throughput next-generation sequencing to investigate potential pathogens linked to CP/CPPS.

Purpose of the Study:

  • To screen for and identify potential pathogens associated with NIH category III chronic prostatitis (CP III) using next-generation sequencing.

Main Methods:

  • Collected urethral and expressed prostatic secretions (EPS) from 33 CP III patients and 30 healthy controls.
  • Utilized high-throughput next-generation sequencing to analyze bacterial 16S ribosomal and fungal ITS regions.
  • Employed bioinformatics for data analysis, with statistical significance set at P < 0.05.

Main Results:

  • Microbial composition in urethral secretions and EPS from the same individual showed high similarity.
  • No specific pathogens were identified in patients diagnosed with CP III.

Conclusions:

  • The findings suggest that CP III may not be caused by identifiable prokaryotic or eukaryotic pathogens.
  • Alterations in the urinary tract microbiome could disrupt microecological balance, potentially leading to CP III.
  • Future research should explore non-cellular microbes as potential causative agents for CP III.