Interplay between gene expression noise and regulatory network architecture
Guilhem Chalancon,Charles N. J. Ravarani,S. Balaji,Alfonso Martinez-Arias,L. Aravind,Raja Jothi,M. Madan Babu +6 more
TLDR
How the interplay between expression noise and gene regulatory network impacts a variety of phenomena, such as pathogenicity, disease, adaptation to changing environments, differential cell-fate outcome and incomplete or partial penetrance effects is considered.About:
This article is published in Trends in Genetics.The article was published on 2012-05-01 and is currently open access. It has received 266 citations till now. The article focuses on the topics: Gene regulatory network.read more
Citations
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On the Dependency of Cellular Protein Levels on mRNA Abundance.
TL;DR: It is concluded that transcript levels by themselves are not sufficient to predict protein levels in many scenarios and to thus explain genotype-phenotype relationships and that high-quality data quantifying different levels of gene expression are indispensable for the complete understanding of biological processes.
Journal ArticleDOI
Single-cell RNA-seq reveals dynamic paracrine control of cellular variation
Alex K. Shalek,Rahul Satija,Joe Shuga,John J. Trombetta,David Gennert,Diana Lu,Peilin Chen,Rona S. Gertner,Jellert T. Gaublomme,Nir Yosef,Schraga Schwartz,Brian Fowler,Suzanne Weaver,Jing Wang,Xiaohui Wang,Ruihua Ding,Raktima Raychowdhury,Nir Friedman,Nir Hacohen,Hongkun Park,Andrew May,Aviv Regev +21 more
TL;DR: This study highlights the importance of cell-to-cell communication in controlling cellular heterogeneity and reveals general strategies that multicellular populations can use to establish complex dynamic responses.
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Noise in biology
TL;DR: This short review covers the recent progress in understanding mechanisms and effects of fluctuations in biological systems of different scales and the basic approaches to their mathematical modeling.
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Biofilm-associated persistence of food-borne pathogens.
Arnaud Bridier,Pilar Sanchez-Vizuete,Morgan Guilbaud,Jean-Christophe Piard,Murielle Naïtali,Romain Briandet +5 more
TL;DR: The present review focuses on the principal mechanisms involved in the formation of biofilms of food-borne pathogens, where biofilm behaviour is driven by its three-dimensional heterogeneity and by species interactions within these biostructures, and the authors look at some emergent control strategies.
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Bursty gene expression in the intact mammalian liver.
Keren Bahar Halpern,Sivan Tanami,Shanie Landen,Michal Chapal,Liran Szlak,Anat Hutzler,Anna Nizhberg,Shalev Itzkovitz +7 more
TL;DR: Temporal averaging and liver polyploidy dampen the intrinsic variability associated with transcriptional bursts in mammalian tissues, and this approach can be used to study transcriptional bursting in diverse mammalian tissues.
References
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Global quantification of mammalian gene expression control
Björn Schwanhäusser,Dorothea Busse,Na Li,Gunnar Dittmar,Johannes Schuchhardt,Jana Wolf,Wei Chen,Matthias Selbach +7 more
TL;DR: Using a quantitative model, the first genome-scale prediction of synthesis rates of mRNAs and proteins is obtained and it is found that the cellular abundance of proteins is predominantly controlled at the level of translation.
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Stochastic Gene Expression in a Single Cell
TL;DR: This work constructed strains of Escherichia coli that enable detection of noise and discrimination between the two mechanisms by which it is generated and reveals how low intracellular copy numbers of molecules can fundamentally limit the precision of gene regulation.
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A novel multigene family may encode odorant receptors: A molecular basis for odor recognition
Linda B. Buck,Richard Axel +1 more
TL;DR: This work has cloned and characterized 18 different members of an extremely large multigene family that encodes seven transmembrane domain proteins whose expression is restricted to the olfactory epithelium and is likely to encode a diverse family of odorant receptors.
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A synthetic oscillatory network of transcriptional regulators
TL;DR: This work used three transcriptional repressor systems that are not part of any natural biological clock to build an oscillating network, termed the repressilator, in Escherichia coli, which periodically induces the synthesis of green fluorescent protein as a readout of its state in individual cells.
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Network motifs: theory and experimental approaches
TL;DR: Network motifs are reviewed, suggesting that they serve as basic building blocks of transcription networks, including signalling and neuronal networks, in diverse organisms from bacteria to humans.
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