Literature DB >> 31114032

Challenges in measuring and understanding biological noise.

Nils Eling1,2, Michael D Morgan3, John C Marioni4,5,6.   

Abstract

Biochemical reactions are intrinsically stochastic, leading to variation in the production of mRNAs and proteins within cells. In the scientific literature, this source of variation is typically referred to as 'noise'. The observed variability in molecular phenotypes arises from a combination of processes that amplify and attenuate noise. Our ability to quantify cell-to-cell variability in numerous biological contexts has been revolutionized by recent advances in single-cell technology, from imaging approaches through to 'omics' strategies. However, defining, accurately measuring and disentangling the stochastic and deterministic components of cell-to-cell variability is challenging. In this Review, we discuss the sources, impact and function of molecular phenotypic variability and highlight future directions to understand its role.

Entities:  

Year:  2019        PMID: 31114032     DOI: 10.1038/s41576-019-0130-6

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  37 in total

Review 1.  Statistical mechanics meets single-cell biology.

Authors:  Andrew E Teschendorff; Andrew P Feinberg
Journal:  Nat Rev Genet       Date:  2021-04-19       Impact factor: 53.242

Review 2.  The physiology of alternative splicing.

Authors:  Luciano E Marasco; Alberto R Kornblihtt
Journal:  Nat Rev Mol Cell Biol       Date:  2022-10-13       Impact factor: 113.915

3.  Early IFNβ secretion determines variable downstream IL-12p70 responses upon TLR4 activation.

Authors:  Celine Posseme; Alba Llibre; Bruno Charbit; Vincent Bondet; Vincent Rouilly; Violaine Saint-André; Jeremy Boussier; Jacob Bergstedt; Nikaïa Smith; Liam Townsend; Jamie A Sugrue; Clíona Ní Cheallaigh; Niall Conlon; Maxime Rotival; Michael S Kobor; Estelle Mottez; Stanislas Pol; Etienne Patin; Matthew L Albert; Lluis Quintana-Murci; Darragh Duffy
Journal:  Cell Rep       Date:  2022-06-28       Impact factor: 9.995

4.  Evidence for close molecular proximity between reverting and undifferentiated cells.

Authors:  Souad Zreika; Camille Fourneaux; Olivier Gandrillon; Sandrine Gonin-Giraud; Elodie Vallin; Laurent Modolo; Rémi Seraphin; Alice Moussy; Elias Ventre; Matteo Bouvier; Anthony Ozier-Lafontaine; Arnaud Bonnaffoux; Franck Picard
Journal:  BMC Biol       Date:  2022-07-06       Impact factor: 7.364

Review 5.  Functional roles of microbial cell-to-cell heterogeneity and emerging technologies for analysis and control.

Authors:  Nadia Maria Vieira Sampaio; Mary J Dunlop
Journal:  Curr Opin Microbiol       Date:  2020-09-09       Impact factor: 7.934

Review 6.  Self-organized signaling in stem cell models of embryos.

Authors:  Lizhong Liu; Aryeh Warmflash
Journal:  Stem Cell Reports       Date:  2021-05-11       Impact factor: 7.765

Review 7.  Aging biomarkers and the brain.

Authors:  Albert T Higgins-Chen; Kyra L Thrush; Morgan E Levine
Journal:  Semin Cell Dev Biol       Date:  2021-01-25       Impact factor: 7.499

8.  BiPSim: a flexible and generic stochastic simulator for polymerization processes.

Authors:  Stephan Fischer; Marc Dinh; Vincent Henry; Philippe Robert; Anne Goelzer; Vincent Fromion
Journal:  Sci Rep       Date:  2021-07-08       Impact factor: 4.379

9.  Fractional response analysis reveals logarithmic cytokine responses in cellular populations.

Authors:  Karol Nienałtowski; Rachel E Rigby; Jarosław Walczak; Karolina E Zakrzewska; Edyta Głów; Jan Rehwinkel; Michał Komorowski
Journal:  Nat Commun       Date:  2021-07-07       Impact factor: 14.919

10.  Single-nucleus RNA-seq2 reveals functional crosstalk between liver zonation and ploidy.

Authors:  M L Richter; I K Deligiannis; K Yin; A Danese; E Lleshi; P Coupland; C A Vallejos; K P Matchett; N C Henderson; M Colome-Tatche; C P Martinez-Jimenez
Journal:  Nat Commun       Date:  2021-07-12       Impact factor: 14.919

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