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High-dimensional phenotyping to define the genetic basis of cellular morphology
by
O’Connor, Luke
, Nathan, Aparna
, Arora, Jatin
, Eggan, Kevin
, Peirent, Emily
, Way, Gregory P.
, Singh, Shantanu
, Asgari, Samira
, Tegtmeyer, Matthew
, Liyanage, Dhara
, McCarroll, Steven A.
, Nehme, Ralda
, Nadig, Ajay
, Raychaudhuri, Soumya
, Weisbart, Erin
, Amariuta, Tiffany
, Haghighi, Marzieh
, Cimini, Beth A.
, Carpenter, Anne E.
in
14
/ 45
/ 45/100
/ 49
/ 631/208/191
/ 631/532/2064/2158
/ Cell morphology
/ Cell Nucleus
/ Cell Shape
/ Cell size
/ Chromosome Mapping
/ Cytology
/ Environmental factors
/ Gene mapping
/ Gene sequencing
/ Genes
/ Genetic diversity
/ Genetic variance
/ Genomics
/ Humanities and Social Sciences
/ Induced Pluripotent Stem Cells
/ Morphology
/ multidisciplinary
/ Mutant Proteins
/ Phenotypes
/ Phenotyping
/ Quantitative trait loci
/ Quantitative Trait Loci - genetics
/ Science
/ Science (multidisciplinary)
/ Whole genome sequencing
2024
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High-dimensional phenotyping to define the genetic basis of cellular morphology
by
O’Connor, Luke
, Nathan, Aparna
, Arora, Jatin
, Eggan, Kevin
, Peirent, Emily
, Way, Gregory P.
, Singh, Shantanu
, Asgari, Samira
, Tegtmeyer, Matthew
, Liyanage, Dhara
, McCarroll, Steven A.
, Nehme, Ralda
, Nadig, Ajay
, Raychaudhuri, Soumya
, Weisbart, Erin
, Amariuta, Tiffany
, Haghighi, Marzieh
, Cimini, Beth A.
, Carpenter, Anne E.
in
14
/ 45
/ 45/100
/ 49
/ 631/208/191
/ 631/532/2064/2158
/ Cell morphology
/ Cell Nucleus
/ Cell Shape
/ Cell size
/ Chromosome Mapping
/ Cytology
/ Environmental factors
/ Gene mapping
/ Gene sequencing
/ Genes
/ Genetic diversity
/ Genetic variance
/ Genomics
/ Humanities and Social Sciences
/ Induced Pluripotent Stem Cells
/ Morphology
/ multidisciplinary
/ Mutant Proteins
/ Phenotypes
/ Phenotyping
/ Quantitative trait loci
/ Quantitative Trait Loci - genetics
/ Science
/ Science (multidisciplinary)
/ Whole genome sequencing
2024
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High-dimensional phenotyping to define the genetic basis of cellular morphology
by
O’Connor, Luke
, Nathan, Aparna
, Arora, Jatin
, Eggan, Kevin
, Peirent, Emily
, Way, Gregory P.
, Singh, Shantanu
, Asgari, Samira
, Tegtmeyer, Matthew
, Liyanage, Dhara
, McCarroll, Steven A.
, Nehme, Ralda
, Nadig, Ajay
, Raychaudhuri, Soumya
, Weisbart, Erin
, Amariuta, Tiffany
, Haghighi, Marzieh
, Cimini, Beth A.
, Carpenter, Anne E.
in
14
/ 45
/ 45/100
/ 49
/ 631/208/191
/ 631/532/2064/2158
/ Cell morphology
/ Cell Nucleus
/ Cell Shape
/ Cell size
/ Chromosome Mapping
/ Cytology
/ Environmental factors
/ Gene mapping
/ Gene sequencing
/ Genes
/ Genetic diversity
/ Genetic variance
/ Genomics
/ Humanities and Social Sciences
/ Induced Pluripotent Stem Cells
/ Morphology
/ multidisciplinary
/ Mutant Proteins
/ Phenotypes
/ Phenotyping
/ Quantitative trait loci
/ Quantitative Trait Loci - genetics
/ Science
/ Science (multidisciplinary)
/ Whole genome sequencing
2024
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High-dimensional phenotyping to define the genetic basis of cellular morphology
Journal Article
High-dimensional phenotyping to define the genetic basis of cellular morphology
2024
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Overview
The morphology of cells is dynamic and mediated by genetic and environmental factors. Characterizing how genetic variation impacts cell morphology can provide an important link between disease association and cellular function. Here, we combine genomic sequencing and high-content imaging approaches on iPSCs from 297 unique donors to investigate the relationship between genetic variants and cellular morphology to map what we term cell morphological quantitative trait loci (cmQTLs). We identify novel associations between rare protein altering variants in
WASF2
,
TSPAN15
, and
PRLR
with several morphological traits related to cell shape, nucleic granularity, and mitochondrial distribution. Knockdown of these genes by CRISPRi confirms their role in cell morphology. Analysis of common variants yields one significant association and nominate over 300 variants with suggestive evidence (P < 10
−6
) of association with one or more morphology traits. We then use these data to make predictions about sample size requirements for increasing discovery in cellular genetic studies. We conclude that, similar to molecular phenotypes, morphological profiling can yield insight about the function of genes and variants.
Characterizing how genetic variation impacts cell morphology can provide an important links between disease association and cellular function. Here the authors identified the morphological impacts of genomic variants by generating high-throughput morphological profiling and whole genome sequencing data on iPSCs from 297 donors.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
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