Evidence map›Paper›PMID 20192780›Full record

ReviewAnnual review of biophysics2010

Rewiring cells: synthetic biology as a tool to interrogate the organizational principles of living systems.

Caleb J Bashor, Andrew A Horwitz, Sergio G Peisajovich, Wendell A Lim

Abstract readReview
In one paragraph

Review in Annual review of biophysics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Article
  2. MS-Based Proteomics Approach in Mapping Protein-Protein Interaction.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Review
  5. Open problems in synthetic multicellularity.NPJ systems biology and applications · 2024
    Article
  6. Review
  7. Review
  8. Compact Programmable Control of Protein Secretion in Mammalian Cells.bioRxiv : the preprint server for biology · 2023
    Article
  9. Article
  10. A Toolkit for Precise, Multigene Control inACS synthetic biology · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article

24 more citing papers are in PubMed but not listed here.

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

4 authors.

Caleb J BashorDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, California 94158-2517, USA.
Andrew A Horwitz
Sergio G Peisajovich
Wendell A Lim

Funding

Cellular Control:Synthetic Signaling/Motility (RMI)PN2EY016546 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A · 2005 to 2014
$16.0M
PROTEIN RECOGNITION IN SIGNAL TRANSDUCTIONR01GM055040 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A · 1997 to 2015
$3.5M
PROTEIN INTERACTIONS REGULATING CELL MOTILITYR01GM062583 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A · 2001 to 2009
$2.2M
Howard Hughes Medical InstituteNEI NIH HHS PN2 EY016546NIGMS NIH HHS R01 GM055040NIGMS NIH HHS R01 GM062583
6 · The paper itself

Abstract

The living cell is an incredibly complex entity, and the goal of predictively and quantitatively understanding its function is one of the next great challenges in biology. Much of what we know about the cell concerns its constituent parts, but to a great extent we have yet to decode how these parts are organized to yield complex physiological function. Classically, we have learned about the organization of cellular networks by disrupting them through genetic or chemical means. The emerging discipline of synthetic biology offers an additional, powerful approach to study systems. By rearranging the parts that comprise existing networks, we can gain valuable insight into the hierarchical logic of the networks and identify the modular building blocks that evolution uses to generate innovative function. In addition, by building minimal toy networks, one can systematically explore the relationship between network structure and function. Here, we outline recent work that uses synthetic biology approaches to investigate the organization and function of cellular networks, and describe a vision for a synthetic biology toolkit that could be used to interrogate the design principles of diverse systems.

Indexed as

Cytological TechniquesAnimalsBiologyCellsGene ExpressionHumansInformation Services

Identifiers

PMID20192780
PMCPMC2965450

What OpenQuestion holds

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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.