Evidence map›Paper›PMID 28949290›Full record

ArticleeLife2017

Host proteostasis modulates influenza evolution.

Angela M Phillips, Luna O Gonzalez, Emmanuel E Nekongo, Anna I Ponomarenko, Sean M McHugh, Vincent L Butty, Stuart S Levine, Yu-Shan Lin, Leonid A Mirny, Matthew D Shoulders

Abstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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  15. HSF1 Activation Can Restrict HIV Replication.ACS infectious diseases · 2020
    Article
  16. Chemical Biology Framework to Illuminate Proteostasis.Annual review of biochemistry · 2020
    Review
  17. Disruption of cellular proteostasis by H1N1 influenza A virus causes α-synuclein aggregation.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Angela M PhillipsDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0002-9806-7574
Luna O GonzalezDepartment of Mathematics, Massachusetts Institute of Technology, Cambridge, United States.
Emmanuel E NekongoDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, United States.
Anna I PonomarenkoDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, United States.
Sean M McHughDepartment of Chemistry, Tufts University, Medford, United States.
Vincent L ButtyBioMicro Center, Massachusetts Institute of Technology, Cambridge, United States.
Stuart S LevineBioMicro Center, Massachusetts Institute of Technology, Cambridge, United States.
Yu-Shan LinDepartment of Chemistry, Tufts University, Medford, United States.ORCID 0000-0001-6460-2877
Leonid A MirnyDepartment of Physics, Massachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0002-0785-5410
Matthew D ShouldersDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0002-6511-3431

Funding

TOXICOLOGY CORE UNITP30ES002109 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI ENGELWARD, BEVIN P. · 1985 to 2020
$25.6M
Continuous Directed Evolution of Biomolecules in Human Cells for Medical ResearchDP2GM119162 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SHOULDERS, MATTHEW DONALD · 2015 to 2015
$2.3M
NIEHS NIH HHS P30 ES002109NIGMS NIH HHS DP2 GM119162
6 · The paper itself

Abstract

Predicting and constraining RNA virus evolution require understanding the molecular factors that define the mutational landscape accessible to these pathogens. RNA viruses typically have high mutation rates, resulting in frequent production of protein variants with compromised biophysical properties. Their evolution is necessarily constrained by the consequent challenge to protein folding and function. We hypothesized that host proteostasis mechanisms may be significant determinants of the fitness of viral protein variants, serving as a critical force shaping viral evolution. Here, we test that hypothesis by propagating influenza in host cells displaying chemically-controlled, divergent proteostasis environments. We find that both the nature of selection on the influenza genome and the accessibility of specific mutational trajectories are significantly impacted by host proteostasis. These findings provide new insights into features of host-pathogen interactions that shape viral evolution, and into the potential design of host proteostasis-targeted antiviral therapeutics that are refractory to resistance.

Indexed as

Genetic FitnessHost-Pathogen InteractionsMutationProteostasisAnimalsDogsEvolution, MolecularInfluenza A Virus, H3N2 SubtypeMadin Darby Canine Kidney CellsSelection, GeneticViral ProteinsViral Proteinsbiochemistryevolutionary biologygenomicsheat shock factor 1heat shock responseHsp90mutational landscapenoneselection

Identifiers

PMID28949290
PMCPMC5614556

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.