TY - JOUR
T1 - Neuro-evo-devo in the single cell sequencing era
AU - Konstantinides, Nikos
AU - Degabriel, Sophie
AU - Desplan, Claude
N1 - Funding Information:
The authors would like to thank Michalis Averof and members of the Desplan lab for critical reading and comments on the manuscript. This work was supported by the National Institutes of Health [R01 EY13012]. NK was supported by an EMBO long-term fellowship (365-2014) and a postdoctoral HFSP fellowship (LT000122/2015-L).
Funding Information:
The authors would like to thank Michalis Averof and members of the Desplan lab for critical reading and comments on the manuscript. This work was supported by the National Institutes of Health [ R01 EY13012 ]. NK was supported by an EMBO long-term fellowship ( 365-2014 ) and a postdoctoral HFSP fellowship ( LT000122/2015-L ).
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/10
Y1 - 2018/10
N2 - The nervous system represents the most complex tissue in animals. How this complexity evolved has been a challenging question to address. The explosion in single cell sequencing techniques, the development of new algorithms to cluster single cells into cell types, along with powerful tools for drawing developmental trajectories offer a unique opportunity to compare homologous cell types between species. They further permit the identification of key developmental points and transcription factors that can lead to the evolution of new cell types. At the same time, the ease of use and efficiency of CRISPR genome editing technology allow validation of predicted regulators. This promises exciting developments in the next few years in the field of neuronal evolution and development.
AB - The nervous system represents the most complex tissue in animals. How this complexity evolved has been a challenging question to address. The explosion in single cell sequencing techniques, the development of new algorithms to cluster single cells into cell types, along with powerful tools for drawing developmental trajectories offer a unique opportunity to compare homologous cell types between species. They further permit the identification of key developmental points and transcription factors that can lead to the evolution of new cell types. At the same time, the ease of use and efficiency of CRISPR genome editing technology allow validation of predicted regulators. This promises exciting developments in the next few years in the field of neuronal evolution and development.
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U2 - 10.1016/j.coisb.2018.08.001
DO - 10.1016/j.coisb.2018.08.001
M3 - Review article
AN - SCOPUS:85051679486
SN - 2452-3100
VL - 11
SP - 32
EP - 40
JO - Current Opinion in Systems Biology
JF - Current Opinion in Systems Biology
ER -