Literature DB >> 24139738

Quantitative imaging of transcription in living Drosophila embryos links polymerase activity to patterning.

Hernan G Garcia1, Mikhail Tikhonov, Albert Lin, Thomas Gregor.   

Abstract

Spatiotemporal patterns of gene expression are fundamental to every developmental program. The resulting macroscopic domains have been mainly characterized by their levels of gene products. However, the establishment of such patterns results from differences in the dynamics of microscopic events in individual cells such as transcription. It is unclear how these microscopic decisions lead to macroscopic patterns, as measurements in fixed tissue cannot access the underlying transcriptional dynamics. In vivo transcriptional dynamics have long been approached in single-celled organisms, but never in a multicellular developmental context. Here, we directly address how boundaries of gene expression emerge in the Drosophila embryo by measuring the absolute number of actively transcribing polymerases in real time in individual nuclei. Specifically, we show that the formation of a boundary cannot be quantitatively explained by the rate of mRNA production in each cell, but instead requires amplification of the dynamic range of the expression boundary. This amplification is accomplished by nuclei randomly adopting active or inactive states of transcription, leading to a collective effect where the fraction of active nuclei is modulated in space. Thus, developmental patterns are not just the consequence of reproducible transcriptional dynamics in individual nuclei, but are the result of averaging expression over space and time.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 24139738      PMCID: PMC3828032          DOI: 10.1016/j.cub.2013.08.054

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  36 in total

1.  Multiple enhancers ensure precision of gap gene-expression patterns in the Drosophila embryo.

Authors:  Michael W Perry; Alistair N Boettiger; Michael Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-08       Impact factor: 11.205

Review 2.  How cells know where they are.

Authors:  Arthur D Lander
Journal:  Science       Date:  2013-02-22       Impact factor: 47.728

3.  Dynamic interpretation of maternal inputs by the Drosophila segmentation gene network.

Authors:  Feng Liu; Alexander H Morrison; Thomas Gregor
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-11       Impact factor: 11.205

4.  Gene length may contribute to graded transcriptional responses in the Drosophila embryo.

Authors:  Peter McHale; Claudia M Mizutani; David Kosman; Danielle L MacKay; Mirela Belu; Anita Hermann; William McGinnis; Ethan Bier; Terence Hwa
Journal:  Dev Biol       Date:  2011-09-03       Impact factor: 3.582

5.  A system of repressor gradients spatially organizes the boundaries of Bicoid-dependent target genes.

Authors:  Hongtao Chen; Zhe Xu; Constance Mei; Danyang Yu; Stephen Small
Journal:  Cell       Date:  2012-04-27       Impact factor: 41.582

6.  Multiple sequence-specific factors generate the nucleosome-depleted region on CLN2 promoter.

Authors:  Lu Bai; Andrej Ondracka; Frederick R Cross
Journal:  Mol Cell       Date:  2011-05-20       Impact factor: 17.970

7.  Live imaging of endogenous RNA reveals a diffusion and entrapment mechanism for nanos mRNA localization in Drosophila.

Authors:  Kevin M Forrest; Elizabeth R Gavis
Journal:  Curr Biol       Date:  2003-07-15       Impact factor: 10.834

8.  Precision of hunchback expression in the Drosophila embryo.

Authors:  Michael W Perry; Jacques P Bothma; Ryan D Luu; Michael Levine
Journal:  Curr Biol       Date:  2012-11-01       Impact factor: 10.834

9.  A transgenic mouse for in vivo detection of endogenous labeled mRNA.

Authors:  Timothée Lionnet; Kevin Czaplinski; Xavier Darzacq; Yaron Shav-Tal; Amber L Wells; Jeffrey A Chao; Hye Yoon Park; Valeria de Turris; Melissa Lopez-Jones; Robert H Singer
Journal:  Nat Methods       Date:  2011-01-16       Impact factor: 28.547

10.  Accurate measurements of dynamics and reproducibility in small genetic networks.

Authors:  Julien O Dubuis; Reba Samanta; Thomas Gregor
Journal:  Mol Syst Biol       Date:  2013       Impact factor: 11.429

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  112 in total

1.  Transcriptional Pre-patterning of Drosophila Gastrulation.

Authors:  Bomyi Lim; Yuji Yamazaki; Michael Levine
Journal:  Curr Biol       Date:  2017-01-12       Impact factor: 10.834

2.  Development: seeing the pattern.

Authors:  Isabel Lokody
Journal:  Nat Rev Genet       Date:  2013-10-29       Impact factor: 53.242

Review 3.  Combinatorial decoding of the invariant C. elegans embryonic lineage in space and time.

Authors:  Amanda L Zacharias; John Isaac Murray
Journal:  Genesis       Date:  2016-03-19       Impact factor: 2.487

Review 4.  Mechanisms regulating zygotic genome activation.

Authors:  Katharine N Schulz; Melissa M Harrison
Journal:  Nat Rev Genet       Date:  2019-04       Impact factor: 53.242

5.  A Developmental Program Truncates Long Transcripts to Temporally Regulate Cell Signaling.

Authors:  Jeremy E Sandler; Jihyun Irizarry; Vincent Stepanik; Leslie Dunipace; Henry Amrhein; Angelike Stathopoulos
Journal:  Dev Cell       Date:  2018-12-17       Impact factor: 12.270

6.  A Jump-Distance-Based Parameter Inference Scheme for Particulate Trajectories.

Authors:  Rebecca Menssen; Madhav Mani
Journal:  Biophys J       Date:  2019-06-12       Impact factor: 4.033

Review 7.  Enhancer redundancy in development and disease.

Authors:  Evgeny Z Kvon; Zeba Wunderlich; Rachel Waymack; Mario Gad
Journal:  Nat Rev Genet       Date:  2021-01-12       Impact factor: 53.242

8.  Broadly expressed repressors integrate patterning across orthogonal axes in embryos.

Authors:  Theodora Koromila; Angelike Stathopoulos
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-18       Impact factor: 11.205

9.  Stochastic Kinetics of Nascent RNA.

Authors:  Heng Xu; Samuel O Skinner; Anna Marie Sokac; Ido Golding
Journal:  Phys Rev Lett       Date:  2016-09-13       Impact factor: 9.161

10.  LlamaTags: A Versatile Tool to Image Transcription Factor Dynamics in Live Embryos.

Authors:  Jacques P Bothma; Matthew R Norstad; Simon Alamos; Hernan G Garcia
Journal:  Cell       Date:  2018-05-10       Impact factor: 41.582

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