PUBLICATION
zFACE: facial analytics from a coordinate extrapolation system for morphometric phenotyping of developing zebrafish
- Authors
- Maili, L., Ruiz, O.E., Kahan, P., Chiu, F., Larson, S.T., Hashmi, S.S., Hecht, J.T., Eisenhoffer, G.T.
- ID
- ZDB-PUB-230427-57
- Date
- 2023
- Source
- Disease models & mechanisms 16(6): (Journal)
- Registered Authors
- Eisenhoffer, George, Kahan, Philip, Ruiz, Oscar E.
- Keywords
- smarca4a, Craniofacial development, Geometric morphometrics, Zebrafish
- MeSH Terms
-
- Abnormalities, Multiple*
- Animals
- DNA Helicases
- Face
- Humans
- Intellectual Disability*
- Micrognathism*
- Nuclear Proteins
- Transcription Factors/genetics
- Zebrafish/genetics
- PubMed
- 37102214 Full text @ Dis. Model. Mech.
Citation
Maili, L., Ruiz, O.E., Kahan, P., Chiu, F., Larson, S.T., Hashmi, S.S., Hecht, J.T., Eisenhoffer, G.T. (2023) zFACE: facial analytics from a coordinate extrapolation system for morphometric phenotyping of developing zebrafish. Disease models & mechanisms. 16(6):.
Abstract
Facial development requires a complex and coordinated series of cellular events, that when perturbed, can lead to structural birth defects. A quantitative approach to quickly assess morphological changes could address how genetic or environmental inputs lead to differences in facial shape and promote malformations. Here we report on a method to rapidly analyze craniofacial development in zebrafish embryos using Facial Analytics based on a Coordinate Extrapolation system, termed zFACE. Confocal images capture facial structures and morphometric data is quantified based on anatomical landmarks present during development. The quantitative morphometric data can detect phenotypic variation and informs on changes in facial morphology. We applied this approach to show that loss of smarca4a in developing zebrafish leads to craniofacial anomalies, microcephaly and alterations in brain morphology. These changes are characteristic of Coffin-Siris syndrome (CSS), a rare human genetic disorder associated with mutations in SMARCA4. Multivariate analysis of zFACE data facilitated the classification of smarca4a mutants based on changes in specific phenotypic characteristics. Together, zFACE provides a way to rapidly and quantitatively assess the impact of genetic alterations on craniofacial development in zebrafish.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping