Evidence map›Paper›PMID 39745956›Full record

ArticleScience (New York, N.Y.)2025

Engineering synthetic phosphorylation signaling networks in human cells.

Xiaoyu Yang, Jason W Rocks, Kaiyi Jiang, Andrew J Walters, Kshitij Rai, Jing Liu, Jason Nguyen, Scott D Olson, Pankaj Mehta, James J Collins and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Science (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  8. Programmable nanobody circuits for cell selection.bioRxiv : the preprint server for biology · 2026
    Article
  9. Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026
    Review
  10. Reimagining the Synthetic Biology DBTL Cycle with Machine Learning.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Human Synthetic Biology and Programmable Gene Regulation Control.Annual review of genomics and human genetics · 2025
    Review
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Xiaoyu YangDepartment of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0001-5636-117X
Jason W RocksDepartment of Physics, Boston University, Boston, MA, USA.ORCID 0000-0002-0285-0119
Kaiyi JiangDepartment of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0002-9569-5225
Andrew J WaltersDepartment of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0002-1302-1738
Kshitij RaiDepartment of Bioengineering, Rice University, Houston, TX, USA.
Jing LiuDepartment of Bioengineering, Rice University, Houston, TX, USA.ORCID 0009-0005-0074-2412
Jason NguyenDepartment of Bioengineering, Rice University, Houston, TX, USA.ORCID 0009-0004-9565-5276
Scott D OlsonDepartment of Pediatric Surgery, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID 0000-0001-8032-3755
Pankaj MehtaDepartment of Physics, Boston University, Boston, MA, USA.
James J CollinsInstitute for Medical Engineering and Science, Department of Biological Engineering, and Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-5560-8246
Nichole M DaringerDepartment of Biomedical Engineering, Rowan University, Glassboro, NJ, USA.ORCID 0000-0002-2026-8130
Caleb J BashorDepartment of Bioengineering, Rice University, Houston, TX, USA.ORCID 0000-0003-1354-2098

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein phosphorylation signaling networks have a central role in how cells sense and respond to their environment. We engineered artificial phosphorylation networks in which reversible enzymatic phosphorylation cycles were assembled from modular protein domain parts and wired together to create synthetic phosphorylation circuits in human cells. Our design scheme enabled model-guided tuning of circuit function and the ability to make diverse network connections; synthetic phosphorylation circuits can be coupled to upstream cell surface receptors to enable fast-timescale sensing of extracellular ligands, and downstream connections can regulate gene expression. We engineered cell-based cytokine controllers that dynamically sense and suppress activated T cells. Our work introduces a generalizable approach that allows the design of signaling circuits that enable user-defined sense-and-respond function for diverse biosensing and therapeutic applications.

Indexed as

PhosphorylationProtein EngineeringCytokinesHEK293 CellsHumansLymphocyte ActivationProtein DomainsSignal TransductionSynthetic BiologyT-LymphocytesCytokines

Identifiers

What OpenQuestion holds

Textmetadata
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.