Literature DB >> 15982458

Methods in clonal analysis and applications.

Anne-Cécile Petit1, Emilie Legué, Jean-François Nicolas.   

Abstract

During development, embryonic cells display a large variety of behaviors that lead to the formation of embryonic structures that are frequently transient. Simultaneously, cells progress towards a specific fate. The current challenge for embryologists is to resolve how these two distinct aspects of development co-exist. As cell behaviors (including elementary cellular operations such as motility, adhesiveness, polarization, change in shape, division and death) and their control are much less well understood than the genetic aspects of cell fate determination, there is currently much interest in the study of cell behaviors. This mainly consists of labeling groups of cells or, less frequently, single cells and observing their descendants. In this review, we describe a few techniques for labeling groups of cells and we discuss prospective and retrospective clonal analysis, in particular the LaacZ system, in detail. We examine the information generated by these approaches.

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Mesh:

Year:  2005        PMID: 15982458     DOI: 10.1051/rnd:2005024

Source DB:  PubMed          Journal:  Reprod Nutr Dev        ISSN: 0926-5287


  12 in total

1.  Monitoring clonal growth in the developing ventricle.

Authors:  Lucile Miquerol; Robert G Kelly
Journal:  Pediatr Cardiol       Date:  2009-01-28       Impact factor: 1.655

2.  Analysis of Gene Expression Using lacZ Reporter Mouse Lines.

Authors:  Michael Simon Krämer; Robert Feil; Hannes Schmidt
Journal:  Methods Mol Biol       Date:  2021

3.  Genetic fate mapping using site-specific recombinases.

Authors:  Emilie Legué; Alexandra L Joyner
Journal:  Methods Enzymol       Date:  2010       Impact factor: 1.600

4.  A fast and sensitive alternative for β-galactosidase detection in mouse embryos.

Authors:  Sakthi Sundararajan; Maki Wakamiya; Richard R Behringer; Jaime A Rivera-Pérez
Journal:  Development       Date:  2012-12-01       Impact factor: 6.868

5.  Decoding cell lineage from acquired mutations using arbitrary deep sequencing.

Authors:  Cheryl A Carlson; Arnold Kas; Robert Kirkwood; Laura E Hays; Bradley D Preston; Stephen J Salipante; Marshall S Horwitz
Journal:  Nat Methods       Date:  2011-11-27       Impact factor: 28.547

Review 6.  Connecting past and present: single-cell lineage tracing.

Authors:  Cheng Chen; Yuanxin Liao; Guangdun Peng
Journal:  Protein Cell       Date:  2022-04-19       Impact factor: 15.328

7.  From adjacent activation in Escherichia coli and DNA cyclization to eukaryotic enhancers: the elements of a puzzle.

Authors:  Michèle Amouyal
Journal:  Front Genet       Date:  2014-11-03       Impact factor: 4.599

Review 8.  Overview and assessment of the histochemical methods and reagents for the detection of β-galactosidase activity in transgenic animals.

Authors:  Stefan Trifonov; Yuji Yamashita; Masahiko Kase; Masato Maruyama; Tetsuo Sugimoto
Journal:  Anat Sci Int       Date:  2015-09-22       Impact factor: 1.741

Review 9.  Lineages of the Cardiac Conduction System.

Authors:  Rajiv Mohan; Bas J Boukens; Vincent M Christoffels
Journal:  J Cardiovasc Dev Dis       Date:  2017-05-02

10.  Large-scale clonal analysis reveals unexpected complexity in surface ectoderm morphogenesis.

Authors:  Anne-Cécile Petit; Jean-François Nicolas
Journal:  PLoS One       Date:  2009-02-06       Impact factor: 3.240

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