Literature DB >> 32513086

How Do Cells Adapt? Stories Told in Landscapes.

Luca Agozzino1,2, Gábor Balázsi1,3, Jin Wang1,2,4, Ken A Dill1,2,4.   

Abstract

Cells adapt to changing environments. Perturb a cell and it returns to a point of homeostasis. Perturb a population and it evolves toward a fitness peak. We review quantitative models of the forces of adaptation and their visualizations on landscapes. While some adaptations result from single mutations or few-gene effects, others are more cooperative, more delocalized in the genome, and more universal and physical. For example, homeostasis and evolution depend on protein folding and aggregation, energy and protein production, protein diffusion, molecular motor speeds and efficiencies, and protein expression levels. Models provide a way to learn about the fitness of cells and cell populations by making and testing hypotheses.

Entities:  

Keywords:  adaptation; evolution; fitness; homeostasis; landscape

Mesh:

Substances:

Year:  2020        PMID: 32513086      PMCID: PMC7291840          DOI: 10.1146/annurev-chembioeng-011720-103410

Source DB:  PubMed          Journal:  Annu Rev Chem Biomol Eng        ISSN: 1947-5438            Impact factor:   11.059


  99 in total

Review 1.  The genetic theory of adaptation: a brief history.

Authors:  H Allen Orr
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

2.  Protein stability imposes limits on organism complexity and speed of molecular evolution.

Authors:  Konstantin B Zeldovich; Peiqiu Chen; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-03       Impact factor: 11.205

3.  A biophysical protein folding model accounts for most mutational fitness effects in viruses.

Authors:  C Scott Wylie; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2011-05-24       Impact factor: 11.205

4.  Bacterial growth laws reflect the evolutionary importance of energy efficiency.

Authors:  Arijit Maitra; Ken A Dill
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-29       Impact factor: 11.205

5.  Exploring the mechanisms of differentiation, dedifferentiation, reprogramming and transdifferentiation.

Authors:  Li Xu; Kun Zhang; Jin Wang
Journal:  PLoS One       Date:  2014-08-18       Impact factor: 3.240

6.  Cellular Growth Arrest and Persistence from Enzyme Saturation.

Authors:  J Christian J Ray; Michelle L Wickersheim; Ameya P Jalihal; Yusuf O Adeshina; Tim F Cooper; Gábor Balázsi
Journal:  PLoS Comput Biol       Date:  2016-03-24       Impact factor: 4.475

7.  Protein evolution speed depends on its stability and abundance and on chaperone concentrations.

Authors:  Luca Agozzino; Ken A Dill
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-27       Impact factor: 11.205

8.  Predicting mutational routes to new adaptive phenotypes.

Authors:  Peter A Lind; Eric Libby; Jenny Herzog; Paul B Rainey
Journal:  Elife       Date:  2019-01-08       Impact factor: 8.140

9.  Modeling the Overproduction of Ribosomes when Antibacterial Drugs Act on Cells.

Authors:  Arijit Maitra; Ken A Dill
Journal:  Biophys J       Date:  2016-02-02       Impact factor: 4.033

10.  RNA velocity of single cells.

Authors:  Gioele La Manno; Ruslan Soldatov; Amit Zeisel; Emelie Braun; Hannah Hochgerner; Viktor Petukhov; Katja Lidschreiber; Maria E Kastriti; Peter Lönnerberg; Alessandro Furlan; Jean Fan; Lars E Borm; Zehua Liu; David van Bruggen; Jimin Guo; Xiaoling He; Roger Barker; Erik Sundström; Gonçalo Castelo-Branco; Patrick Cramer; Igor Adameyko; Sten Linnarsson; Peter V Kharchenko
Journal:  Nature       Date:  2018-08-08       Impact factor: 49.962

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  5 in total

Review 1.  The Protein Folding Problem: The Role of Theory.

Authors:  Roy Nassar; Gregory L Dignon; Rostam M Razban; Ken A Dill
Journal:  J Mol Biol       Date:  2021-07-03       Impact factor: 6.151

2.  Coupled Feedback Loops Involving PAGE4, EMT and Notch Signaling Can Give Rise to Non-genetic Heterogeneity in Prostate Cancer Cells.

Authors:  Divyoj Singh; Federico Bocci; Prakash Kulkarni; Mohit Kumar Jolly
Journal:  Entropy (Basel)       Date:  2021-02-26       Impact factor: 2.524

3.  Elevated METTL9 is associated with peritoneal dissemination in human scirrhous gastric cancers.

Authors:  Toshifumi Hara; Yuuki Tominaga; Koji Ueda; Keichiro Mihara; Kazuyoshi Yanagihara; Yoshifumi Takei
Journal:  Biochem Biophys Rep       Date:  2022-04-02

4.  Quantification of adaptive forces on SNP rs1010211 due to viral zoonotic pathogens.

Authors:  Daniah Alsufyani; James Lindesay
Journal:  J Biol Phys       Date:  2022-04-15       Impact factor: 1.560

5.  Observation and Control of Gene Expression Noise: Barrier Crossing Analogies Between Drug Resistance and Metastasis.

Authors:  Michael Tyler Guinn; Yiming Wan; Sarah Levovitz; Dongbo Yang; Marsha R Rosner; Gábor Balázsi
Journal:  Front Genet       Date:  2020-10-30       Impact factor: 4.599

  5 in total

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