A high-throughput method for unbiased quantitation and categorization of nuclear morphology

  • Benjamin Matthew Skinner
  • , Claudia Cattoni Rathje
  • , Joanne Bacon
  • , Emma Elizabeth Philippa Johnson
  • , Erica Lee Larson
  • , Emily E.K. Kopania
  • , Jeffrey Martin Good
  • , Gullalaii Yousafzai
  • , Nabeel Ahmed Affara
  • , Peter James Ivor Ellis

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

The physical arrangement of chromatin in the nucleus is cell type and species-specific, a fact particularly evident in sperm, in which most of the cytoplasm has been lost. Analysis of the characteristic falciform ("hook shaped") sperm in mice is important in studies of sperm development, hybrid sterility, infertility, and toxicology. However, quantification of sperm shape differences typically relies on subjective manual assessment, rendering comparisons within and between samples difficult. We have developed an analysis program for morphometric analysis of asymmetric nuclei and characterized the sperm of mice from a range of inbred, outbred, and wild-derived mouse strains. We find that laboratory strains have elevated sperm shape variability both within and between samples in comparison to wild-derived inbred strains, and that sperm shape in F1 offspring from a cross between CBA and C57Bl6J strains is subtly affected by the direction of the cross. We further show that hierarchical clustering can discriminate distinct sperm shapes with greater efficiency and reproducibility than even experienced manual assessors, and is useful both to distinguish between samples and also to identify different morphological classes within a single sample. Our approach allows for the analysis of nuclear shape with unprecedented precision and scale and will be widely applicable to different species and different areas of biology.

Original languageEnglish
Pages (from-to)1250-1260
Number of pages11
JournalBiology of Reproduction
Volume100
Issue number5
DOIs
StatePublished - May 1 2019

Funding

1Department of Pathology, University of Cambridge, Cambridge, UK; 2School of Biosciences, University of Kent, Canterbury, UK; 3Department of Biological Sciences, University of Denver, Denver, CO, USA and 4Division of Biological Sciences, University of Montana, MT, USA ∗Correspondence: School of Biosciences, University of Kent, Canterbury, CT2 7NJ, UK. Tel: +44-1227-823526; E-mail: [email protected] †Grant Support: BMS was supported by the Leverhulme Trust (grant RPG337) and the Biotechnology and Biological Sciences Research Council (BBSRC, grant BB/N000129/1). EEPJ was supported by BBSRC training grant BB/L502443/1. PE and CCR were supported by HEFCE (University of Kent) and by the BBSRC (grant BB/N000463/1). JMG and ELL were supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health (R01-HD073439 and R01-HD094787) and the National Institute of General Medical Sciences (R01-GM098536). EEKK was supported by the National Science Foundation Graduate Research Fellowship Program under Grant No. DGE-1313190. Edited by Dr. Monika A. Ward

FundersFunder number
R01-HD094787
R01-GM098536
R01HD073439
BB/N000129/1, BB/L502443/1
RPG337
Istanbul Kent UniversityBB/N000463/1

    Keywords

    • fertility
    • image analysis
    • morphometrics
    • rodents
    • spermatogenesis

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