Literature DB >> 26316520

Symmetry breaking in the early mammalian embryo: the case for quantitative single-cell imaging analysis.

Maaike Welling1, Aaron Ponti1, Periklis Pantazis2.   

Abstract

In recent years, advances in imaging probes, cutting-edge microscopy techniques and powerful bioinformatics image analysis have markedly expanded the imaging toolbox available to developmental biologists. Apart from traditional qualitative studies, embryonic development can now be investigated in vivo with improved spatiotemporal resolution, with more detailed quantitative analyses down to the single-cell level of the developing embryo. Such imaging tools can provide many benefits to investigate the emergence of the asymmetry in the early mammalian embryo. Quantitative single-cell imaging has provided a deeper knowledge of the dynamic processes of how and why apparently indistinguishable cells adopt separate fates that ensure proper lineage allocation and segregation. To advance our understanding of the mechanisms governing such cell fate decisions, we will need to address current limitations of fluorescent probes, while at the same time take on challenges in image processing and analysis. New discoveries and developments in quantitative, single-cell imaging analysis will ultimately enable a truly comprehensive, multi-dimensional and multi-scale investigation of the dynamic morphogenetic processes that work in concert to shape the embryo.
© The Author 2015. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  SHG nanoprobes; embryonic development; fluorescent probes; lineage tracing; pluripotency; single molecule dynamics; systems biology

Mesh:

Substances:

Year:  2015        PMID: 26316520     DOI: 10.1093/molehr/gav048

Source DB:  PubMed          Journal:  Mol Hum Reprod        ISSN: 1360-9947            Impact factor:   4.025


  3 in total

1.  Labeling cellular structures in vivo using confined primed conversion of photoconvertible fluorescent proteins.

Authors:  Manuel Alexander Mohr; Paul Argast; Periklis Pantazis
Journal:  Nat Protoc       Date:  2016-11-03       Impact factor: 13.491

2.  Primed Track: Reliable Volumetric Single-cell Tracking and Lineage Tracing of Living Specimen with Dual-labeling Approaches.

Authors:  Maaike Welling; Konstantinos Kalyviotis; Periklis Pantazis
Journal:  Bio Protoc       Date:  2020-06-05

3.  Primed Track, high-fidelity lineage tracing in mouse pre-implantation embryos using primed conversion of photoconvertible proteins.

Authors:  Maaike Welling; Manuel Alexander Mohr; Aaron Ponti; Lluc Rullan Sabater; Andrea Boni; Yumiko K Kawamura; Prisca Liberali; Antoine Hfm Peters; Pawel Pelczar; Periklis Pantazis
Journal:  Elife       Date:  2019-01-21       Impact factor: 8.140

  3 in total

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