Evidence map›Paper›PMID 31850364›Full record

ArticleFrontiers in molecular biosciences2019

Kinetic Modeling of the Genetic Information Processes in a Minimal Cell.

Zane R Thornburg, Marcelo C R Melo, David Bianchi, Troy A Brier, Cole Crotty, Marian Breuer, Hamilton O Smith, Clyde A Hutchison, John I Glass, Zaida Luthey-Schulten

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

13 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Dynamics of chromosome organization in a minimal bacterial cell.Frontiers in cell and developmental biology · 2023
    Article
  8. Integrative illustration of a JCVI-syn3A minimal cell.Journal of integrative bioinformatics · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. A Multi-Scale Approach to ModelingEntropy (Basel, Switzerland) · 2020
    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 at 2 institutions in 2 countries.

Zane R ThornburgDepartment of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Marcelo C R MeloDepartment of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
David BianchiDepartment of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Troy A BrierDepartment of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Cole CrottyDepartment of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Marian BreuerDepartment of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Hamilton O SmithSynthetic Biology and Bioenergy Group, J. Craig Venter Institute, La Jolla, CA, United States.
Clyde A HutchisonSynthetic Biology and Bioenergy Group, J. Craig Venter Institute, La Jolla, CA, United States.
John I GlassSynthetic Biology and Bioenergy Group, J. Craig Venter Institute, La Jolla, CA, United States.
Zaida Luthey-SchultenDepartment of Chemistry, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
University of Illinois Urbana-Champaign · USJ. Craig Venter Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

JCVI-syn3A is a minimal bacterial cell with a 543 kbp genome consisting of 493 genes. For this slow growing minimal cell with a 105 min doubling time, we recently established the essential metabolism including the transport of required nutrients from the environment, the gene map, and genome-wide proteomics. Of the 452 protein-coding genes, 143 are assigned to metabolism and 212 are assigned to genetic information processing. Using genome-wide proteomics and experimentally measured kinetic parameters from the literature we present here kinetic models for the genetic information processes of DNA replication, replication initiation, transcription, and translation which are solved stochastically and averaged over 1,000 replicates/cells. The model predicts the time required for replication initiation and DNA replication to be 8 and 50 min on average respectively and the number of proteins and ribosomal components to be approximately doubled in a cell cycle. The model of genetic information processing when combined with the essential metabolic and cell growth networks will provide a powerful platform for studying the fundamental principles of life.

Indexed as

DNA replicationkinetic parametersminimal cellsmRNA productionprotein productionstochastic simulationstranscriptiontranslation

Identifiers

PMID31850364
PMCPMC6892953
OpenAlexW2990341088

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.