Evidence map›Paper›PMID 27294303›Full record

ArticleBiopolymers2016

Ribosome biogenesis in replicating cells: Integration of experiment and theory.

Emmy E Earnest, John A Cole, Joseph R Peterson, Michael J Hallock, Thomas E Kuhlman, Zaida Luthey-Schulten

Open access · greenAbstract read
In one paragraph

Article in Biopolymers, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Emmy E Earnest *Center for the Physics of Living Cells, Urbana, IL, USA.
John A Cole *Department of Physics, University of Illinois, Urbana, IL USA.
Joseph R Peterson *Department of Chemistry, University of Illinois, Urbana, IL, USA.
Michael J HallockSchool of Chemical Sciences, University of Illinois, Urbana, IL, USA.
Thomas E KuhlmanCenter for the Physics of Living Cells, Urbana, IL, USA.
Zaida Luthey-SchultenCenter for the Physics of Living Cells, Urbana, IL, USA.
University of Illinois Urbana-Champaign · USUniversity of Illinois System · US

Funding

WHOLE CELL SIMULATIONP41GM104601 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI TAJKHORSHID, EMAD · 2012 to 2021
$19.0M
Quantitative Imaging and Modeling of Regulation by Bacterial Small RNAR01GM112659 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI HA, TAEKJIP, LUTHEY-SCHULTEN, ZAIDA · 2015 to 2018
$1.1M
NIGMS NIH HHS P41 GM104601NIGMS NIH HHS R01 GM112659
6 · The paper itself

Abstract

Ribosomes-the primary macromolecular machines responsible for translating the genetic code into proteins-are complexes of precisely folded RNA and proteins. The ways in which their production and assembly are managed by the living cell is of deep biological importance. Here we extend a recent spatially resolved whole-cell model of ribosome biogenesis in a fixed volume [Earnest et al., Biophys J 2015, 109, 1117-1135] to include the effects of growth, DNA replication, and cell division. All biological processes are described in terms of reaction-diffusion master equations and solved stochastically using the Lattice Microbes simulation software. In order to determine the replication parameters, we construct and analyze a series of Escherichia coli strains with fluorescently labeled genes distributed evenly throughout their chromosomes. By measuring these cells' lengths and number of gene copies at the single-cell level, we could fit a statistical model of the initiation and duration of chromosome replication. We found that for our slow-growing (120 min doubling time) E. coli cells, replication was initiated 42 min into the cell cycle and completed after an additional 42 min. While simulations of the biogenesis model produce the correct ribosome and mRNA counts over the cell cycle, the kinetic parameters for transcription and degradation are lower than anticipated from a recent analytical time dependent model of in vivo mRNA production. Describing expression in terms of a simple chemical master equation, we show that the discrepancies are due to the lack of nonribosomal genes in the extended biogenesis model which effects the competition of mRNA for ribosome binding, and suggest corrections to parameters to be used in the whole-cell model when modeling expression of the entire transcriptome. © 2016 Wiley Periodicals, Inc. Biopolymers 105: 735-751, 2016.

Indexed as

Models, BiologicalCell DivisionDNA, BacterialDNA ReplicationEscherichia coliRibosomesDNA, Bacterialbacterial cell divisionribosome biogenesisstochastic gene expression

Identifiers

PMID27294303
PMCPMC4958520
OpenAlexW2422442815

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.