Evidence map›Paper›PMID 32850764›Full record

ArticleFrontiers in bioengineering and biotechnology2020

Computer-Aided Whole-Cell Design: Taking a Holistic Approach by Integrating Synthetic With Systems Biology.

Lucia Marucci, Matteo Barberis, Jonathan Karr, Oliver Ray, Paul R Race, Miguel de Souza Andrade, Claire Grierson, Stefan Andreas Hoffmann, Sophie Landon, Elibio Rech and 4 more

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Data hazards in synthetic biology.Synthetic biology (Oxford, England) · 2024
    Review
  10. Replicating Chromosomes in Whole-Cell Models of Bacteria.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Dynamics of chromosome organization in a minimal bacterial cell.Frontiers in cell and developmental biology · 2023
    Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Towards an engineering theory of evolution.Nature communications · 2021
    Review
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

14 authors.

Lucia MarucciDepartment of Engineering Mathematics, University of Bristol, Bristol, United Kingdom.
Matteo BarberisSystems Biology, School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
Jonathan KarrIcahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
Oliver RayDepartment of Computer Science, University of Bristol, Bristol, United Kingdom.
Paul R RaceBristol Centre for Synthetic Biology (BrisSynBio), University of Bristol, Bristol, United Kingdom.
Miguel de Souza AndradeBrazilian Agricultural Research Corporation/National Institute of Science and Technology - Synthetic Biology, Brasília, Brazil.
Claire GriersonBristol Centre for Synthetic Biology (BrisSynBio), University of Bristol, Bristol, United Kingdom.
Stefan Andreas HoffmannManchester Institute of Biotechnology, The University of Manchester, Manchester, United Kingdom.
Sophie LandonDepartment of Engineering Mathematics, University of Bristol, Bristol, United Kingdom.
Elibio RechBrazilian Agricultural Research Corporation/National Institute of Science and Technology - Synthetic Biology, Brasília, Brazil.
Joshua Rees-GarbuttBristol Centre for Synthetic Biology (BrisSynBio), University of Bristol, Bristol, United Kingdom.
Richard SeabrookElizabeth Blackwell Institute for Health Research (EBI), University of Bristol, Bristol, United Kingdom.
William ShawDepartment of Bioengineering, Imperial College London, London, United Kingdom.
Christopher WoodsBristol Centre for Synthetic Biology (BrisSynBio), University of Bristol, Bristol, United Kingdom.

Funding

Toward whole-cell models for precision medicine and synthetic biologyR35GM119771 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KARR, JONATHAN ROSS · 2016 to 2020
$2.1M
Biotechnology and Biological Sciences Research Council BB/L01386X/1NIGMS NIH HHS R35 GM119771
6 · The paper itself

Abstract

Computer-aided design (CAD) for synthetic biology promises to accelerate the rational and robust engineering of biological systems. It requires both detailed and quantitative mathematical and experimental models of the processes to (re)design biology, and software and tools for genetic engineering and DNA assembly. Ultimately, the increased precision in the design phase will have a dramatic impact on the production of designer cells and organisms with bespoke functions and increased modularity. CAD strategies require quantitative models of cells that can capture multiscale processes and link genotypes to phenotypes. Here, we present a perspective on how whole-cell, multiscale models could transform design-build-test-learn cycles in synthetic biology. We show how these models could significantly aid in the design and learn phases while reducing experimental testing by presenting case studies spanning from genome minimization to cell-free systems. We also discuss several challenges for the realization of our vision. The possibility to describe and build whole-cells

Indexed as

biodesignbioengineeringmultiscale modelssynthetic biologysystems biologywhole-cell models

Identifiers

PMID32850764
PMCPMC7426639

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.