BirthSeq, a new method to isolate and analyze dated cells in different vertebrates.
Birds
FACS sorting
In situ sequencing
Neocortex
Neurogenesis
Pallium
Progenitor cells
Reptiles
Single cell RNA sequencing
Journal
Development (Cambridge, England)
ISSN: 1477-9129
Titre abrégé: Development
Pays: England
ID NLM: 8701744
Informations de publication
Date de publication:
10 Jun 2024
10 Jun 2024
Historique:
received:
19
10
2023
accepted:
27
05
2024
medline:
10
6
2024
pubmed:
10
6
2024
entrez:
10
6
2024
Statut:
aheadofprint
Résumé
Embryonic development is a complex and dynamic process that unfolds over time and involves the production and diversification of increasing numbers of cells. The impact of developmental time on the formation of the central nervous system is well-documented, with evidence showing that time plays a critical role in establishing the identity of neuronal subtypes. However, the study of how time translates into genetic instructions driving cell fate is limited by the scarcity of suitable experimental tools. We introduce BirthSeq, a new method for isolating and analyzing cells based on their birth date. This innovative technique allows for in vivo labeling of cells, isolation via FACS, and analysis using high-throughput techniques. We tuned up BirthSeq in developmental organs across three vertebrate species (mouse, chick, and gecko), and fully made use of it for single-cell RNA sequencing and novel spatially resolved transcriptomic approaches in mouse and chick, respectively. Overall, BirthSeq provides a versatile tool for studying virtually any tissue in different vertebrate organism, helping to fill the necessity in developmental biology research by targeting cells and their temporal cues.
Identifiants
pubmed: 38856078
pii: 352330
doi: 10.1242/dev.202429
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Ministerio de Ciencia e Innovacion
ID : PGC2018-096173-A-I00
Organisme : Eusko Jaurlaritza
ID : PIBA 2020_1_0057
Organisme : EASI-GENOMICS
ID : PID14596
Organisme : Chan Zuckerberg Initiative
Organisme : Silicon Valley Community Foundation
Organisme : Familjen Erling-Perssons Stiftelse
Organisme : Knut and Alice Wallenberg Foundation
Organisme : Svenska Forskningsradet Formas
Organisme : Cancerfonden
Informations de copyright
© 2024. Published by The Company of Biologists Ltd.