Evidence map›Paper›PMID 35361767›Full record

ArticleNature communications2022

Robust and tunable signal processing in mammalian cells via engineered covalent modification cycles.

Ross D Jones, Yili Qian, Katherine Ilia, Benjamin Wang, Michael T Laub, Domitilla Del Vecchio, Ron Weiss

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  11. Noise Reduction in Resource-Coupled Multi-Module Gene Circuits through Antithetic Feedback Control.Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control · 2024
    Article
  12. Engineering signalling pathways in mammalian cells.Nature biomedical engineering · 2024
    Review
  13. Article
  14. Review
  15. Review
  16. Engineering synthetic phosphorylation signaling networks in human cells.bioRxiv : the preprint server for biology · 2023
    Article
  17. Article
  18. Article
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  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Ross D JonesDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID http://orcid.org/0000-0003-0891-6761
Yili QianSynthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID http://orcid.org/0000-0002-1097-0401
Katherine IliaDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Benjamin WangSynthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Michael T LaubSynthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.ORCID http://orcid.org/0000-0002-8288-7607
Domitilla Del VecchioSynthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. ddv@mit.edu.ORCID http://orcid.org/0000-0001-6472-8576
Ron WeissDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. rweiss@mit.edu.ORCID http://orcid.org/0000-0003-0396-2443
Massachusetts Institute of Technology · USHoward Hughes Medical Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Engineered signaling networks can impart cells with new functionalities useful for directing differentiation and actuating cellular therapies. For such applications, the engineered networks must be tunable, precisely regulate target gene expression, and be robust to perturbations within the complex context of mammalian cells. Here, we use bacterial two-component signaling proteins to develop synthetic phosphoregulation devices that exhibit these properties in mammalian cells. First, we engineer a synthetic covalent modification cycle based on kinase and phosphatase proteins derived from the bifunctional histidine kinase EnvZ, enabling analog tuning of gene expression via its response regulator OmpR. By regulating phosphatase expression with endogenous miRNAs, we demonstrate cell-type specific signaling responses and a new strategy for accurate cell type classification. Finally, we implement a tunable negative feedback controller via a small molecule-stabilized phosphatase, reducing output expression variance and mitigating the context-dependent effects of off-target regulation and resource competition. Our work lays the foundation for establishing tunable, precise, and robust control over cell behavior with synthetic signaling networks.

Indexed as

Bacterial ProteinsPhosphotransferasesAnimalsHistidine KinaseMammalsPhosphorylationSignal TransductionBacterial ProteinsHistidine KinasePhosphotransferases

Identifiers

PMID35361767
PMCPMC8971529
OpenAlexW4225678461

What OpenQuestion 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 OpenQuestion graph.