Evidence map›Paper›PMID 22403064›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Control of protein signaling using a computationally designed GTPase/GEF orthogonal pair.

Gregory T Kapp, Sen Liu, Amelie Stein, Derek T Wong, Attila Reményi, Brian J Yeh, James S Fraser, Jack Taunton, Wendell A Lim, Tanja Kortemme

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Structural basis for selective AMPylation of Rac-subfamily GTPases byProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. GαThe Journal of biological chemistry · 2020
    Article
  9. Review
  10. Article
  11. Article
  12. Advances in protein structure prediction and design.Nature reviews. Molecular cell biology · 2019
    Review
  13. Review
  14. Article
  15. Article
  16. Computational design of orthogonal membrane receptor-effector switches for rewiring signaling pathways.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  17. Article
  18. Article
  19. Review
  20. Mammalian synthetic biology for studying the cell.The Journal of cell biology · 2017
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Gregory T KappDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA.
Sen Liu
Amelie Stein
Derek T Wong
Attila Reményi
Brian J Yeh
James S Fraser
Jack Taunton
Wendell A Lim
Tanja Kortemme

Funding

Rewiring Therapeutic Cells: User-Controlled T Cells and Stem CellsP50GM081879 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A · 2010 to 2017
$19.0M
Cellular Control:Synthetic Signaling/Motility (RMI)PN2EY016546 · NEI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A · 2005 to 2014
$16.0M
PROTEIN INTERACTIONS REGULATING CELL MOTILITYR01GM062583 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A · 2001 to 2009
$2.2M
Engineering Synthetic Cell Motility Systems (RMI)PN1EY016546 · NEI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI LIM, WENDELL A · 2004 to 2004
$76k
Howard Hughes Medical InstituteNEI NIH HHS PN1 EY016546NEI NIH HHS PN2 EY016546NIGMS NIH HHS P50 GM081879NIGMS NIH HHS R01 GM062583
6 · The paper itself

Abstract

Signaling pathways depend on regulatory protein-protein interactions; controlling these interactions in cells has important applications for reengineering biological functions. As many regulatory proteins are modular, considerable progress in engineering signaling circuits has been made by recombining commonly occurring domains. Our ability to predictably engineer cellular functions, however, is constrained by complex crosstalk observed in naturally occurring domains. Here we demonstrate a strategy for improving and simplifying protein network engineering: using computational design to create orthogonal (non-crossreacting) protein-protein interfaces. We validated the design of the interface between a key signaling protein, the GTPase Cdc42, and its activator, Intersectin, biochemically and by solving the crystal structure of the engineered complex. The designed GTPase (orthoCdc42) is activated exclusively by its engineered cognate partner (orthoIntersectin), but maintains the ability to interface with other GTPase signaling circuit components in vitro. In mammalian cells, orthoCdc42 activity can be regulated by orthoIntersectin, but not wild-type Intersectin, showing that the designed interaction can trigger complex processes. Computational design of protein interfaces thus promises to provide specific components that facilitate the predictable engineering of cellular functions.

Indexed as

Signal TransductionAnimalsCrystallographyGTP PhosphohydrolasesGuanine Nucleotide Exchange FactorsMiceModels, MolecularNIH 3T3 CellsProteinsGTP PhosphohydrolasesGuanine Nucleotide Exchange FactorsProteins

Identifiers

PMID22403064
PMCPMC3325720

What OpenQuestion holds

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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.