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Related Concept Videos

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Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
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Related Experiment Video

Updated: Aug 15, 2025

Sequencing Small Non-coding RNA from Formalin-fixed Tissues and Serum-derived Exosomes from Castration-resistant Prostate Cancer Patients
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Translational Research for Identifying Potential Early-stage Prostate Cancer Biomarkers.

Noriko Nakamura1, Paul Rogers2, Rémelle Eggerson3

  • 1Division of Systems Biology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, U.S.A.; noriko.nakamura@fda.hhs.gov.

Cancer Genomics & Proteomics
|December 29, 2022
PubMed
Summary
This summary is machine-generated.

Researchers identified bone morphogenetic protein 7 (BMP7) and neural cell adhesion molecule 1 (NCAM1) transcripts as potential early-stage prostate cancer (PCa) biomarkers. Lower BMP7 levels in PCa tissues suggest its utility in improving PCa diagnosis.

Keywords:
Humanschronic prostatitisgenesprostate cancer tissuesprostatitisrats

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miRNA Expression Analyses in Prostate Cancer Clinical Tissues
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Area of Science:

  • Oncology
  • Molecular Biology
  • Biomarker Discovery

Background:

  • Prostate cancer (PCa) diagnosis relies heavily on prostate-specific antigen (PSA) testing, which has limitations like false positives.
  • Novel PCa biomarkers are needed for improved early detection and diagnosis.
  • Previous studies in a rat model identified potential biomarkers for prostatitis.

Purpose of the Study:

  • To evaluate the potential of previously identified genes/microRNAs (miRNAs) as translational diagnostic markers for human PCa.
  • To assess the diagnostic utility of specific gene transcripts in human prostate tissues.

Main Methods:

  • Quantitative polymerase chain reaction (qPCR) analysis was performed on paired normal and PCa human prostate tissue samples (N=18 per group).

Main Results:

  • Bone morphogenetic protein 7 (BMP7) transcript levels were significantly lower in PCa tissues compared to normal tissues (p=0.0075).
  • Neural cell adhesion molecule 1 (NCAM1) transcripts showed a trend towards alteration in PCa tissues, but the difference was not statistically significant (p=0.0521).
  • Other analyzed genes/miRNAs did not show statistically significant differences due to high individual variance.

Conclusions:

  • BMP7 and NCAM1 transcript changes in human PCa tissues mirror findings in a rat model, suggesting their potential as early-stage PCa diagnostic biomarkers.
  • Further research is required to validate the clinical utility of BMP7 and NCAM1 as biomarkers for prostate cancer.