Literature DB >> 24315431

'Particle genetics': treating every cell as unique.

Gaël Yvert1.   

Abstract

Genotype-phenotype relations are usually inferred from a deterministic point of view. For example, quantitative trait loci (QTL), which describe regions of the genome associated with a particular phenotype, are based on a mean trait difference between genotype categories. However, living systems comprise huge numbers of cells (the 'particles' of biology). Each cell can exhibit substantial phenotypic individuality, which can have dramatic consequences at the organismal level. Now, with technology capable of interrogating individual cells, it is time to consider how genotypes shape the probability laws of single cell traits. The possibility of mapping single cell probabilistic trait loci (PTL), which link genomic regions to probabilities of cellular traits, is a promising step in this direction. This approach requires thinking about phenotypes in probabilistic terms, a concept that statistical physicists have been applying to particles for a century. Here, I describe PTL and discuss their potential to enlarge our understanding of genotype-phenotype relations.
Copyright © 2013 The Author. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  GWAS; QTL; complex traits; probabilistic trait locus (PTL); single cell; stochasticity

Mesh:

Year:  2013        PMID: 24315431      PMCID: PMC4019916          DOI: 10.1016/j.tig.2013.11.002

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  47 in total

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4.  A quantitative measurement of the human somatic mutation rate.

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Review 7.  Stochasticity or the fatal 'imperfection' of cloning.

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8.  Genomic analysis of QTLs and genes altering natural variation in stochastic noise.

Authors:  Jose M Jimenez-Gomez; Jason A Corwin; Bindu Joseph; Julin N Maloof; Daniel J Kliebenstein
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9.  Extensive transcriptional heterogeneity revealed by isoform profiling.

Authors:  Vicent Pelechano; Wu Wei; Lars M Steinmetz
Journal:  Nature       Date:  2013-04-24       Impact factor: 49.962

10.  Natural sequence variants of yeast environmental sensors confer cell-to-cell expression variability.

Authors:  Steffen Fehrmann; Hélène Bottin-Duplus; Andri Leonidou; Esther Mollereau; Audrey Barthelaix; Wu Wei; Lars M Steinmetz; Gaël Yvert
Journal:  Mol Syst Biol       Date:  2013-10-08       Impact factor: 11.429

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  12 in total

1.  Behavioral idiosyncrasy reveals genetic control of phenotypic variability.

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Journal:  J Biosci       Date:  2015-03       Impact factor: 1.826

4.  Resolving the Complex Genetic Basis of Phenotypic Variation and Variability of Cellular Growth.

Authors:  Naomi Ziv; Bentley M Shuster; Mark L Siegal; David Gresham
Journal:  Genetics       Date:  2017-05-11       Impact factor: 4.562

5.  Single-Cell-Based Analysis Highlights a Surge in Cell-to-Cell Molecular Variability Preceding Irreversible Commitment in a Differentiation Process.

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Review 6.  How does evolution tune biological noise?

Authors:  Magali Richard; Gaël Yvert
Journal:  Front Genet       Date:  2014-10-28       Impact factor: 4.599

Review 7.  Variation is function: Are single cell differences functionally important?: Testing the hypothesis that single cell variation is required for aggregate function.

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Journal:  Bioessays       Date:  2015-12-02       Impact factor: 4.345

8.  Exploiting Single-Cell Quantitative Data to Map Genetic Variants Having Probabilistic Effects.

Authors:  Florent Chuffart; Magali Richard; Daniel Jost; Claire Burny; Hélène Duplus-Bottin; Yoshikazu Ohya; Gaël Yvert
Journal:  PLoS Genet       Date:  2016-08-01       Impact factor: 5.917

9.  Cell-to-cell expression dispersion of B-cell surface proteins is linked to genetic variants in humans.

Authors:  Gérard Triqueneaux; Claire Burny; Orsolya Symmons; Stéphane Janczarski; Henri Gruffat; Gaël Yvert
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10.  Changing genetic paradigms: creating next-generation genetic databases as tools to understand the emerging complexities of genotype/phenotype relationships.

Authors:  Bruce Gottlieb; Lenore K Beitel; Mark Trifiro
Journal:  Hum Genomics       Date:  2014-05-22       Impact factor: 4.639

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