A New Generation of Lineage Tracing Dynamically Records Cell Fate Choices

Reconstructing the development of lineage relationships and cell fate mapping has been a fundamental problem in biology. Using advanced molecular biology and single-cell RNA sequencing, we have profiled transcriptomes at the single-cell level and mapped cell fates during development. Recently, CRISP...

Descripción completa

Detalles Bibliográficos
Autores principales: Yao, Mingze, Ren, Tinglin, Pan, Yuanqing, Xue, Xiaoqing, Li, Rong, Zhang, Lei, Li, Yuhang, Huang, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105840/
https://www.ncbi.nlm.nih.gov/pubmed/35563412
http://dx.doi.org/10.3390/ijms23095021
_version_ 1784708135553859584
author Yao, Mingze
Ren, Tinglin
Pan, Yuanqing
Xue, Xiaoqing
Li, Rong
Zhang, Lei
Li, Yuhang
Huang, Ke
author_facet Yao, Mingze
Ren, Tinglin
Pan, Yuanqing
Xue, Xiaoqing
Li, Rong
Zhang, Lei
Li, Yuhang
Huang, Ke
author_sort Yao, Mingze
collection PubMed
description Reconstructing the development of lineage relationships and cell fate mapping has been a fundamental problem in biology. Using advanced molecular biology and single-cell RNA sequencing, we have profiled transcriptomes at the single-cell level and mapped cell fates during development. Recently, CRISPR/Cas9 barcode editing for large-scale lineage tracing has been used to reconstruct the pseudotime trajectory of cells and improve lineage tracing accuracy. This review presents the progress of the latest CbLT (CRISPR-based Lineage Tracing) and discusses the current limitations and potential technical pitfalls in their application and other emerging concepts.
format Online
Article
Text
id pubmed-9105840
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-91058402022-05-14 A New Generation of Lineage Tracing Dynamically Records Cell Fate Choices Yao, Mingze Ren, Tinglin Pan, Yuanqing Xue, Xiaoqing Li, Rong Zhang, Lei Li, Yuhang Huang, Ke Int J Mol Sci Review Reconstructing the development of lineage relationships and cell fate mapping has been a fundamental problem in biology. Using advanced molecular biology and single-cell RNA sequencing, we have profiled transcriptomes at the single-cell level and mapped cell fates during development. Recently, CRISPR/Cas9 barcode editing for large-scale lineage tracing has been used to reconstruct the pseudotime trajectory of cells and improve lineage tracing accuracy. This review presents the progress of the latest CbLT (CRISPR-based Lineage Tracing) and discusses the current limitations and potential technical pitfalls in their application and other emerging concepts. MDPI 2022-04-30 /pmc/articles/PMC9105840/ /pubmed/35563412 http://dx.doi.org/10.3390/ijms23095021 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Yao, Mingze
Ren, Tinglin
Pan, Yuanqing
Xue, Xiaoqing
Li, Rong
Zhang, Lei
Li, Yuhang
Huang, Ke
A New Generation of Lineage Tracing Dynamically Records Cell Fate Choices
title A New Generation of Lineage Tracing Dynamically Records Cell Fate Choices
title_full A New Generation of Lineage Tracing Dynamically Records Cell Fate Choices
title_fullStr A New Generation of Lineage Tracing Dynamically Records Cell Fate Choices
title_full_unstemmed A New Generation of Lineage Tracing Dynamically Records Cell Fate Choices
title_short A New Generation of Lineage Tracing Dynamically Records Cell Fate Choices
title_sort new generation of lineage tracing dynamically records cell fate choices
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105840/
https://www.ncbi.nlm.nih.gov/pubmed/35563412
http://dx.doi.org/10.3390/ijms23095021
work_keys_str_mv AT yaomingze anewgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT rentinglin anewgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT panyuanqing anewgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT xuexiaoqing anewgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT lirong anewgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT zhanglei anewgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT liyuhang anewgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT huangke anewgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT yaomingze newgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT rentinglin newgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT panyuanqing newgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT xuexiaoqing newgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT lirong newgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT zhanglei newgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT liyuhang newgenerationoflineagetracingdynamicallyrecordscellfatechoices
AT huangke newgenerationoflineagetracingdynamicallyrecordscellfatechoices

Ejemplares similares