Literature DB >> 29175321

Methods for lineage tracing on the organism-wide level.

Bastiaan Spanjaard1, Jan Philipp Junker2.   

Abstract

Determining the lineage origin of cell types is a major goal in developmental biology. Furthermore, lineage tracing is a powerful approach for understanding the origin of developmental defects as well as the origin of diseases such as cancer. There is now a variety of complementary approaches for identifying lineage relationships, ranging from direct observation of cell divisions by light microscopy to genetic labeling of cells using inducible recombinases and fluorescent reporters. A recent development, and the main topic of this review article, is the use of high-throughput sequencing data for lineage analysis. This emerging approach holds the promise of increased multiplexing capacity, allowing lineage analysis of large cell numbers up to the organism-wide level combined with simultaneous transcription profiling by single cell RNA sequencing.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 29175321     DOI: 10.1016/j.ceb.2017.11.004

Source DB:  PubMed          Journal:  Curr Opin Cell Biol        ISSN: 0955-0674            Impact factor:   8.382


  8 in total

1.  In vivo two-photon microscopy reveals the contribution of Sox9+ cell to kidney regeneration in a mouse model with extracellular vesicle treatment.

Authors:  Kaiyue Zhang; Shang Chen; Huimin Sun; Lina Wang; Huifang Li; Jinglei Zhao; Chuyue Zhang; Nana Li; Zhikun Guo; Zhibo Han; Zhong-Chao Han; Guoguang Zheng; Xiangmei Chen; Zongjin Li
Journal:  J Biol Chem       Date:  2020-07-08       Impact factor: 5.157

2.  Large-scale reconstruction of cell lineages using single-cell readout of transcriptomes and CRISPR-Cas9 barcodes by scGESTALT.

Authors:  Bushra Raj; James A Gagnon; Alexander F Schier
Journal:  Nat Protoc       Date:  2018-11       Impact factor: 13.491

3.  Multi-view light-sheet imaging and tracking with the MaMuT software reveals the cell lineage of a direct developing arthropod limb.

Authors:  Carsten Wolff; Jean-Yves Tinevez; Tobias Pietzsch; Evangelia Stamataki; Benjamin Harich; Léo Guignard; Stephan Preibisch; Spencer Shorte; Philipp J Keller; Pavel Tomancak; Anastasios Pavlopoulos
Journal:  Elife       Date:  2018-03-29       Impact factor: 8.140

Review 4.  From observing to predicting single-cell structure and function with high-throughput/high-content microscopy.

Authors:  Anatole Chessel; Rafael E Carazo Salas
Journal:  Essays Biochem       Date:  2019-07-03       Impact factor: 8.000

5.  Single-cell analysis of cell fate bifurcation in the chordate Ciona.

Authors:  Konner M Winkley; Wendy M Reeves; Michael T Veeman
Journal:  BMC Biol       Date:  2021-08-31       Impact factor: 7.431

6.  Simultaneous lineage tracing and cell-type identification using CRISPR-Cas9-induced genetic scars.

Authors:  Bastiaan Spanjaard; Bo Hu; Nina Mitic; Pedro Olivares-Chauvet; Sharan Janjuha; Nikolay Ninov; Jan Philipp Junker
Journal:  Nat Biotechnol       Date:  2018-04-09       Impact factor: 54.908

7.  In vivo single-cell lineage tracing in zebrafish using high-resolution infrared laser-mediated gene induction microscopy.

Authors:  Sicong He; Ye Tian; Shachuan Feng; Yi Wu; Xinwei Shen; Kani Chen; Yingzhu He; Qiqi Sun; Xuesong Li; Jin Xu; Zilong Wen; Jianan Y Qu
Journal:  Elife       Date:  2020-01-06       Impact factor: 8.140

8.  Single-cell lineage tracing by integrating CRISPR-Cas9 mutations with transcriptomic data.

Authors:  Hamim Zafar; Chieh Lin; Ziv Bar-Joseph
Journal:  Nat Commun       Date:  2020-06-16       Impact factor: 14.919

  8 in total

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