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Showing 1–8 of 8 results
Advanced filters: Author: Keith Jarvi Clear advanced filters

  • Many emerging opportunities exist for microfluidics in male infertility diagnosis and treatment, and promising microfluidic approaches are under investigation for addressing male infertility. In this Review, the authors describe and discuss these approaches for sperm analysis and selection.

    • Reza Nosrati
    • Percival J. Graham
    • David Sinton
    Reviews
    Nature Reviews Urology
    Volume: 14, P: 707-730

  • The GEMINI consortium sequenced 1,000 cases of idiopathic male infertility and identified a plausible Mendelian cause in 20% of cases. The infertility genes can be grouped by expression pattern, facilitating their interpretation and follow-up.

    • Liina Nagirnaja
    • Alexandra M. Lopes
    • Donald F. Conrad
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-18

  • Seminal plasma is a potential source of biomarkers of male reproductive system disorders. Drabovich et al. describe the development of seminal plasma proteomics and the progress towards the clinical use of biomarkers of male infertility and prostate cancer.

    • Andrei P. Drabovich
    • Punit Saraon
    • Eleftherios P. Diamandis
    Reviews
    Nature Reviews Urology
    Volume: 11, P: 278-288

  • Germline de novo mutations can impact individual fitness, but their role in human male infertility is understudied. Trio-based exome sequencing identifies many new candidate genes affecting male fertility, including an essential regulator of male germ cell pre-mRNA splicing.

    • M. S. Oud
    • R. M. Smits
    • J. A. Veltman
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-10

  • Sperm analysis has a central role in diagnosing and treating male factor infertility. Emerging techniques have been developed that enable improved analysis of sperm motility, morphology and genetics to help overcome current limitations in accuracy and consistency, and improve sperm selection for infertility treatment.

    • Changsheng Dai
    • Zhuoran Zhang
    • Yu Sun
    Reviews
    Nature Reviews Urology
    Volume: 18, P: 447-467

  • Christopher McCallum et al. present a deep learning-based method for predicting DNA quality of individual human sperm from images. The method could be used for selecting sperm for assisted reproduction techniques, such as intracytoplasmic sperm injection.

    • Christopher McCallum
    • Jason Riordon
    • David Sinton
    ResearchOpen Access
    Communications Biology
    Volume: 2, P: 1-10