Evidence map›Paper›PMID 27693353›Full record

ArticleCell2016

Engineering T Cells with Customized Therapeutic Response Programs Using Synthetic Notch Receptors.

Kole T Roybal, Jasper Z Williams, Leonardo Morsut, Levi J Rupp, Isabel Kolinko, Joseph H Choe, Whitney J Walker, Krista A McNally, Wendell A Lim

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 450 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
450citing papers in PubMed, 1 pooled it
28.5field-weighted citation impact, top 1% 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

450 citing papers in PubMed, 1 synthesis or guideline pooled it, 701 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Engineering CAR-T cells to remodel the mucin-rich cancer cell glycocalyx.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Adoptive cell therapy in lung cancer: progress, challenges, and prospects.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  13. Engineering the next generation of cellular therapies for solid tumors: multi-specific armored CARs and TME reprogramming strategies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Kole T RoybalDepartment of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA; UCSF Center for Systems and Synthetic Biology, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, San Francisco, CA 94158, USA.
Jasper Z WilliamsDepartment of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA; UCSF Center for Systems and Synthetic Biology, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, San Francisco, CA 94158, USA.
Leonardo MorsutDepartment of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA; UCSF Center for Systems and Synthetic Biology, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, San Francisco, CA 94158, USA.
Levi J RuppDepartment of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA; UCSF Center for Systems and Synthetic Biology, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, San Francisco, CA 94158, USA.
Isabel KolinkoDepartment of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA; UCSF Center for Systems and Synthetic Biology, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, San Francisco, CA 94158, USA.
Joseph H ChoeDepartment of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA; UCSF Center for Systems and Synthetic Biology, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, San Francisco, CA 94158, USA.
Whitney J WalkerDepartment of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA; UCSF Center for Systems and Synthetic Biology, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, San Francisco, CA 94158, USA.
Krista A McNallyDepartment of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA; UCSF Center for Systems and Synthetic Biology, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, San Francisco, CA 94158, USA.
Wendell A LimDepartment of Cellular & Molecular Pharmacology, University of California San Francisco, San Francisco, CA 94158, USA; UCSF Center for Systems and Synthetic Biology, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, San Francisco, CA 94158, USA. Electronic address: wendell.lim@ucsf.edu.
University of California, San Francisco · USHoward Hughes Medical Institute · US

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
PHARMACEUTICAL SCIENCES AND PHARMACOGENOMICST32GM007175 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AHITUV, NADAV, KROETZ, DEANNA L · 1985 to 2021
$7.1M
PROTEIN RECOGNITION IN SIGNAL TRANSDUCTIONR01GM055040 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A · 1997 to 2015
$3.5M
Redesigning the T cell: Using Synthetic Biology to Engineer Therapeutic CellsR01CA196277 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A · 2014 to 2018
$3.3M
Engineering Synthetic Receptor Systems That Can Detect Specific Cell-Cell Contact SignalsK99EB021030 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MORSUT, LEONARDO · 2015 to 2016
$195k
Howard Hughes Medical InstituteNCI NIH HHS R01 CA196277NIBIB NIH HHS K99 EB021030NIGMS NIH HHS P50 GM081879NIGMS NIH HHS R01 GM055040NIGMS NIH HHS T32 GM007175
6 · The paper itself

Abstract

Redirecting T cells to attack cancer using engineered chimeric receptors provides powerful new therapeutic capabilities. However, the effectiveness of therapeutic T cells is constrained by the endogenous T cell response: certain facets of natural response programs can be toxic, whereas other responses, such as the ability to overcome tumor immunosuppression, are absent. Thus, the efficacy and safety of therapeutic cells could be improved if we could custom sculpt immune cell responses. Synthetic Notch (synNotch) receptors induce transcriptional activation in response to recognition of user-specified antigens. We show that synNotch receptors can be used to sculpt custom response programs in primary T cells: they can drive a la carte cytokine secretion profiles, biased T cell differentiation, and local delivery of non-native therapeutic payloads, such as antibodies, in response to antigen. SynNotch T cells can thus be used as a general platform to recognize and remodel local microenvironments associated with diverse diseases.

Indexed as

Cell EngineeringAntibodiesCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCell Line, TumorCytokinesCytotoxicity, ImmunologicHumansImmunotherapyLymphocyte ActivationNeoplasmsReceptors, ArtificialReceptors, NotchTh1 CellsTNF-Related Apoptosis-Inducing LigandTranscription, GeneticAntibodiesCytokinesReceptors, ArtificialReceptors, NotchTNF-Related Apoptosis-Inducing LigandcancerCARscellular engineeringimmunotherapysynthetic biologysynthetic NotchT cells

Identifiers

PMID27693353
PMCPMC5072533
OpenAlexW2526887159

What OpenQuestion holds

Textmetadata
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.