Literature DB >> 33712441

A landmark-free morphometrics pipeline for high-resolution phenotyping: application to a mouse model of Down syndrome.

Nicolas Toussaint1, Yushi Redhead2,3, Marta Vidal-García4, Lucas Lo Vercio4, Wei Liu4, Elizabeth M C Fisher5, Benedikt Hallgrímsson6, Victor L J Tybulewicz7,8, Julia A Schnabel1, Jeremy B A Green9.   

Abstract

Characterising phenotypes often requires quantification of anatomical shape. Quantitative shape comparison (morphometrics) traditionally uses manually located landmarks and is limited by landmark number and operator accuracy. Here, we apply a landmark-free method to characterise the craniofacial skeletal phenotype of the Dp1Tyb mouse model of Down syndrome and a population of the Diversity Outbred (DO) mouse model, comparing it with a landmark-based approach. We identified cranial dysmorphologies in Dp1Tyb mice, especially smaller size and brachycephaly (front-back shortening), homologous to the human phenotype. Shape variation in the DO mice was partly attributable to allometry (size-dependent shape variation) and sexual dimorphism. The landmark-free method performed as well as, or better than, the landmark-based method but was less labour-intensive, required less user training and, uniquely, enabled fine mapping of local differences as planar expansion or shrinkage. Its higher resolution pinpointed reductions in interior mid-snout structures and occipital bones in both the models that were not otherwise apparent. We propose that this landmark-free pipeline could make morphometrics widely accessible beyond its traditional niches in zoology and palaeontology, especially in characterising developmental mutant phenotypes.
© 2021. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  Craniofacial; Cranium; Down syndrome; Morphometrics; Mouse model; Phenotyping

Mesh:

Year:  2021        PMID: 33712441      PMCID: PMC7969589          DOI: 10.1242/dev.188631

Source DB:  PubMed          Journal:  Development        ISSN: 0950-1991            Impact factor:   6.862


  47 in total

1.  Molecular characterization of the translocation breakpoints in the Down syndrome mouse model Ts65Dn.

Authors:  Laura G Reinholdt; Yueming Ding; Griffith J Gilbert; Griffith T Gilbert; Anne Czechanski; Jeffrey P Solzak; Randall J Roper; Mark T Johnson; Leah Rae Donahue; Cathleen Lutz; Muriel T Davisson
Journal:  Mamm Genome       Date:  2011-09-28       Impact factor: 2.957

2.  Parallels of craniofacial maldevelopment in Down syndrome and Ts65Dn mice.

Authors:  J T Richtsmeier; L L Baxter; R H Reeves
Journal:  Dev Dyn       Date:  2000-02       Impact factor: 3.780

3.  The problem of assessing landmark error in geometric morphometrics: theory, methods, and modifications.

Authors:  Noreen von Cramon-Taubadel; Brenda C Frazier; Marta Mirazón Lahr
Journal:  Am J Phys Anthropol       Date:  2007-09       Impact factor: 2.868

Review 4.  Form, function, and geometric morphometrics.

Authors:  Siobhán B Cooke; Claire E Terhune
Journal:  Anat Rec (Hoboken)       Date:  2015-01       Impact factor: 2.064

5.  The Medical Imaging Interaction Toolkit: challenges and advances : 10 years of open-source development.

Authors:  Marco Nolden; Sascha Zelzer; Alexander Seitel; Diana Wald; Michael Müller; Alfred M Franz; Daniel Maleike; Markus Fangerau; Matthias Baumhauer; Lena Maier-Hein; Klaus H Maier-Hein; Hans-Peter Meinzer; Ivo Wolf
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-04-16       Impact factor: 2.924

6.  Rapid automated landmarking for morphometric analysis of three-dimensional facial scans.

Authors:  Mao Li; Joanne B Cole; Mange Manyama; Jacinda R Larson; Denise K Liberton; Sheri L Riccardi; Tracey M Ferrara; Stephanie A Santorico; Jordan J Bannister; Nils D Forkert; Richard A Spritz; Washington Mio; Benedikt Hallgrimsson
Journal:  J Anat       Date:  2017-01-12       Impact factor: 2.610

7.  A Bayesian framework for joint morphometry of surface and curve meshes in multi-object complexes.

Authors:  Pietro Gori; Olivier Colliot; Linda Marrakchi-Kacem; Yulia Worbe; Cyril Poupon; Andreas Hartmann; Nicholas Ayache; Stanley Durrleman
Journal:  Med Image Anal       Date:  2016-08-30       Impact factor: 8.545

8.  Craniofacial development in patients with Down's syndrome from birth to 14 years of age.

Authors:  H Fischer-Brandies; R G Schmid; E Fischer-Brandies
Journal:  Eur J Orthod       Date:  1986-02       Impact factor: 3.075

9.  Evaluating causes of error in landmark-based data collection using scanners.

Authors:  Brian M Shearer; Siobhán B Cooke; Lauren B Halenar; Samantha L Reber; Jeannette E Plummer; Eric Delson; Melissa Tallman
Journal:  PLoS One       Date:  2017-11-03       Impact factor: 3.240

10.  Analysis of motor dysfunction in Down Syndrome reveals motor neuron degeneration.

Authors:  Sheona Watson-Scales; Bernadett Kalmar; Eva Lana-Elola; Dorota Gibbins; Federica La Russa; Frances Wiseman; Matthew Williamson; Rachele Saccon; Amy Slender; Anna Olerinyova; Radma Mahmood; Emma Nye; Heather Cater; Sara Wells; Y Eugene Yu; David L H Bennett; Linda Greensmith; Elizabeth M C Fisher; Victor L J Tybulewicz
Journal:  PLoS Genet       Date:  2018-05-10       Impact factor: 5.917

View more
  3 in total

Review 1.  The Intertwined Evolution and Development of Sutures and Cranial Morphology.

Authors:  Heather E White; Anjali Goswami; Abigail S Tucker
Journal:  Front Cell Dev Biol       Date:  2021-03-26

2.  Comprehensive phenotypic analysis of the Dp1Tyb mouse strain reveals a broad range of Down syndrome-related phenotypes.

Authors:  Eva Lana-Elola; Heather Cater; Sheona Watson-Scales; Simon Greenaway; Jennifer Müller-Winkler; Dorota Gibbins; Mihaela Nemes; Amy Slender; Tertius Hough; Piia Keskivali-Bond; Cheryl L Scudamore; Eleanor Herbert; Gareth T Banks; Helene Mobbs; Tara Canonica; Justin Tosh; Suzanna Noy; Miriam Llorian; Patrick M Nolan; Julian L Griffin; Mark Good; Michelle Simon; Ann-Marie Mallon; Sara Wells; Elizabeth M C Fisher; Victor L J Tybulewicz
Journal:  Dis Model Mech       Date:  2021-10-15       Impact factor: 5.732

3.  Computational anatomy and geometric shape analysis enables analysis of complex craniofacial phenotypes in zebrafish.

Authors:  Kelly M Diamond; Sara M Rolfe; Ronald Y Kwon; A Murat Maga
Journal:  Biol Open       Date:  2022-02-17       Impact factor: 2.643

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.