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Is it possible to reconstruct an accurate cell lineage using CRISPR recorders?

Cell lineages provide the framework for understanding how cell fates are decided during development. Describing cell lineages in most organisms is challenging; even a fruit fly larva has ~50,000 cells and a small mammal has >1 billion cells. Recently, the idea of applying CRISPR to induce mutatio...

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Autores principales: Salvador-Martínez, Irepan, Grillo, Marco, Averof, Michalis, Telford, Maximilian J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349403/
https://www.ncbi.nlm.nih.gov/pubmed/30688650
http://dx.doi.org/10.7554/eLife.40292
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author Salvador-Martínez, Irepan
Grillo, Marco
Averof, Michalis
Telford, Maximilian J
author_facet Salvador-Martínez, Irepan
Grillo, Marco
Averof, Michalis
Telford, Maximilian J
author_sort Salvador-Martínez, Irepan
collection PubMed
description Cell lineages provide the framework for understanding how cell fates are decided during development. Describing cell lineages in most organisms is challenging; even a fruit fly larva has ~50,000 cells and a small mammal has >1 billion cells. Recently, the idea of applying CRISPR to induce mutations during development, to be used as heritable markers for lineage reconstruction, has been proposed by several groups. While an attractive idea, its practical value depends on the accuracy of the cell lineages that can be generated. Here, we use computer simulations to estimate the performance of these approaches under different conditions. We incorporate empirical data on CRISPR-induced mutation frequencies in Drosophila. We show significant impacts from multiple biological and technical parameters - variable cell division rates, skewed mutational outcomes, target dropouts and different sequencing strategies. Our approach reveals the limitations of published CRISPR recorders, and indicates how future implementations can be optimised. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter).
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spelling pubmed-63494032019-01-30 Is it possible to reconstruct an accurate cell lineage using CRISPR recorders? Salvador-Martínez, Irepan Grillo, Marco Averof, Michalis Telford, Maximilian J eLife Developmental Biology Cell lineages provide the framework for understanding how cell fates are decided during development. Describing cell lineages in most organisms is challenging; even a fruit fly larva has ~50,000 cells and a small mammal has >1 billion cells. Recently, the idea of applying CRISPR to induce mutations during development, to be used as heritable markers for lineage reconstruction, has been proposed by several groups. While an attractive idea, its practical value depends on the accuracy of the cell lineages that can be generated. Here, we use computer simulations to estimate the performance of these approaches under different conditions. We incorporate empirical data on CRISPR-induced mutation frequencies in Drosophila. We show significant impacts from multiple biological and technical parameters - variable cell division rates, skewed mutational outcomes, target dropouts and different sequencing strategies. Our approach reveals the limitations of published CRISPR recorders, and indicates how future implementations can be optimised. Editorial note: This article has been through an editorial process in which the authors decide how to respond to the issues raised during peer review. The Reviewing Editor's assessment is that all the issues have been addressed (see decision letter). eLife Sciences Publications, Ltd 2019-01-28 /pmc/articles/PMC6349403/ /pubmed/30688650 http://dx.doi.org/10.7554/eLife.40292 Text en © 2019, Salvador-Martínez et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Developmental Biology
Salvador-Martínez, Irepan
Grillo, Marco
Averof, Michalis
Telford, Maximilian J
Is it possible to reconstruct an accurate cell lineage using CRISPR recorders?
title Is it possible to reconstruct an accurate cell lineage using CRISPR recorders?
title_full Is it possible to reconstruct an accurate cell lineage using CRISPR recorders?
title_fullStr Is it possible to reconstruct an accurate cell lineage using CRISPR recorders?
title_full_unstemmed Is it possible to reconstruct an accurate cell lineage using CRISPR recorders?
title_short Is it possible to reconstruct an accurate cell lineage using CRISPR recorders?
title_sort is it possible to reconstruct an accurate cell lineage using crispr recorders?
topic Developmental Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349403/
https://www.ncbi.nlm.nih.gov/pubmed/30688650
http://dx.doi.org/10.7554/eLife.40292
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