Monoallelic gene expression in developing cells increases genetic noise and Shannon entropy

Abstract Monoallelic gene expression is a pivotal phenomenon in developmental biology, notably through the influence of imprinted genes. Our model predicts that monoallelic expression generates expression variability, which we assess by measuring genetic noise and entropy within Shannon’s informatio...

Full description

Saved in:
Bibliographic Details
Main Authors: Robert Wolff, Edoardo Balzani, Elisa Gelli, Alessia Polito, Angelo Serani, Valter Tucci
Format: Article
Language:English
Published: Nature Portfolio 2025-06-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-025-08128-2
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849434127680405504
author Robert Wolff
Edoardo Balzani
Elisa Gelli
Alessia Polito
Angelo Serani
Valter Tucci
author_facet Robert Wolff
Edoardo Balzani
Elisa Gelli
Alessia Polito
Angelo Serani
Valter Tucci
author_sort Robert Wolff
collection DOAJ
description Abstract Monoallelic gene expression is a pivotal phenomenon in developmental biology, notably through the influence of imprinted genes. Our model predicts that monoallelic expression generates expression variability, which we assess by measuring genetic noise and entropy within Shannon’s information theory framework. Analyzing single-cell allele-specific expression across human and mouse datasets, we consistently observe increased expression variability due to monoallelic expression, affecting both imprinted and co-expressed non-imprinted genes. Moreover, we find decreasing variability in developing neurons and increasing variability in glial cells. The discovery of distinct noise patterns in over 80% of analyzed genes between glial and neuronal populations highlights the importance of differential noise in neurodevelopmental processes. Given the critical role of imprinted genes in biological processes such as growth and brain development, disruptions in their expression might contribute to various disorders. Understanding the stochastic nature of monoallelic expression and its genome-wide impact offers new insights into the mechanisms underlying these pathologies.
format Article
id doaj-art-390ba334ea87449ea8b49b5e26fb1f72
institution Kabale University
issn 2399-3642
language English
publishDate 2025-06-01
publisher Nature Portfolio
record_format Article
series Communications Biology
spelling doaj-art-390ba334ea87449ea8b49b5e26fb1f722025-08-20T03:26:47ZengNature PortfolioCommunications Biology2399-36422025-06-01811910.1038/s42003-025-08128-2Monoallelic gene expression in developing cells increases genetic noise and Shannon entropyRobert Wolff0Edoardo Balzani1Elisa Gelli2Alessia Polito3Angelo Serani4Valter Tucci5Genetics and Epigenetics of Behavior Laboratory, Fondazione Istituto Italiano di Tecnologia (IIT)Genetics and Epigenetics of Behavior Laboratory, Fondazione Istituto Italiano di Tecnologia (IIT)Genetics and Epigenetics of Behavior Laboratory, Fondazione Istituto Italiano di Tecnologia (IIT)Genetics and Epigenetics of Behavior Laboratory, Fondazione Istituto Italiano di Tecnologia (IIT)Genetics and Epigenetics of Behavior Laboratory, Fondazione Istituto Italiano di Tecnologia (IIT)Genetics and Epigenetics of Behavior Laboratory, Fondazione Istituto Italiano di Tecnologia (IIT)Abstract Monoallelic gene expression is a pivotal phenomenon in developmental biology, notably through the influence of imprinted genes. Our model predicts that monoallelic expression generates expression variability, which we assess by measuring genetic noise and entropy within Shannon’s information theory framework. Analyzing single-cell allele-specific expression across human and mouse datasets, we consistently observe increased expression variability due to monoallelic expression, affecting both imprinted and co-expressed non-imprinted genes. Moreover, we find decreasing variability in developing neurons and increasing variability in glial cells. The discovery of distinct noise patterns in over 80% of analyzed genes between glial and neuronal populations highlights the importance of differential noise in neurodevelopmental processes. Given the critical role of imprinted genes in biological processes such as growth and brain development, disruptions in their expression might contribute to various disorders. Understanding the stochastic nature of monoallelic expression and its genome-wide impact offers new insights into the mechanisms underlying these pathologies.https://doi.org/10.1038/s42003-025-08128-2
spellingShingle Robert Wolff
Edoardo Balzani
Elisa Gelli
Alessia Polito
Angelo Serani
Valter Tucci
Monoallelic gene expression in developing cells increases genetic noise and Shannon entropy
Communications Biology
title Monoallelic gene expression in developing cells increases genetic noise and Shannon entropy
title_full Monoallelic gene expression in developing cells increases genetic noise and Shannon entropy
title_fullStr Monoallelic gene expression in developing cells increases genetic noise and Shannon entropy
title_full_unstemmed Monoallelic gene expression in developing cells increases genetic noise and Shannon entropy
title_short Monoallelic gene expression in developing cells increases genetic noise and Shannon entropy
title_sort monoallelic gene expression in developing cells increases genetic noise and shannon entropy
url https://doi.org/10.1038/s42003-025-08128-2
work_keys_str_mv AT robertwolff monoallelicgeneexpressionindevelopingcellsincreasesgeneticnoiseandshannonentropy
AT edoardobalzani monoallelicgeneexpressionindevelopingcellsincreasesgeneticnoiseandshannonentropy
AT elisagelli monoallelicgeneexpressionindevelopingcellsincreasesgeneticnoiseandshannonentropy
AT alessiapolito monoallelicgeneexpressionindevelopingcellsincreasesgeneticnoiseandshannonentropy
AT angeloserani monoallelicgeneexpressionindevelopingcellsincreasesgeneticnoiseandshannonentropy
AT valtertucci monoallelicgeneexpressionindevelopingcellsincreasesgeneticnoiseandshannonentropy