Scale invariance in early embryonic development

The expression of a few key genes determines the body plan of the fruit fly. We show that the spatial expression patterns for several of these genes scale precisely with embryo size. Discrete positional markers such as the peaks in striped patterns or the boundaries of expression domains have positions along the embryo's major axis proportional to embryo length, accurate to within 1%. Further, the information (in bits) that graded patterns of expression provide about a cell's position can be decomposed into information about fractional or scaled position and information about absolute position or embryo length; all information available is about scaled position, with [Formula: see text]2% error. These findings imply that the underlying genetic network's behavior exhibits scale invariance in a more precise mathematical sense. We argue that models that can explain this scale invariance also have a "zero mode" in the dynamics of gene expression, and this connects to observations on the spatial correlation of fluctuations in expression levels.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2024-11-08
DOI
https://doi.org/10.1073/pnas.2403265121
Citations
12
Primary Topic
Developmental Biology and Gene Regulation
Type
article
Field-Weighted Citation Impact
2.81

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article

Scale invariance in early embryonic development

Eric M. Smith, Thomas Gregor, William Bialek, Gentian Muhaxheri et al.
12 citations
Proceedings of the National Academy of Sciences
Developmental Biology and Gene Regulation
2.81
article

Scale invariance in early embryonic development

Eric M. Smith, Thomas Gregor, William Bialek, Gentian Muhaxheri, Miloš Nikolić, Mariela D. Petkova, Victoria Antonetti, Martin Scheeler, Feng Liu
article en
12 citations

Abstract

The expression of a few key genes determines the body plan of the fruit fly. We show that the spatial expression patterns for several of these genes scale precisely with embryo size. Discrete positional markers such as the peaks in striped patterns or the boundaries of expression domains have positions along the embryo's major axis proportional to embryo length, accurate to within 1%. Further, the information (in bits) that graded patterns of expression provide about a cell's position can be decomposed into information about fractional or scaled position and information about absolute position or embryo length; all information available is about scaled position, with [Formula: see text]2% error. These findings imply that the underlying genetic network's behavior exhibits scale invariance in a more precise mathematical sense. We argue that models that can explain this scale invariance also have a "zero mode" in the dynamics of gene expression, and this connects to observations on the spatial correlation of fluctuations in expression levels.

Proceedings of the National Academy of SciencesVol. 121(46)
The Graduate Center, CUNY (US), Centre National de la Recherche Scientifique (FR), Harvard University (US), Institut Pasteur (FR), Lehman College (US), City University of New York (US), Hebei University of Technology (CN), Princeton University (US), Université Paris Cité (FR), Institute of Biophysics (CN)
National Science Foundation, Simons Foundation, John Simon Guggenheim Memorial Foundation, National Institutes of Health
Openalex Percentile: Top 9%
Developmental Biology and Gene Regulation
2.81
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