Evidence map›Paper›PMID 29263378›Full record

ArticleNature communications2017

Engineering cell sensing and responses using a GPCR-coupled CRISPR-Cas system.

Nathan H Kipniss, P C Dave P Dingal, Timothy R Abbott, Yuchen Gao, Haifeng Wang, Antonia A Dominguez, Louai Labanieh, Lei S Qi

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

61 citing papers in PubMed, 123 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Gene regulation technologies for gene and cell therapy.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  11. Review
  12. Article
  13. Article
  14. Engineering signalling pathways in mammalian cells.Nature biomedical engineering · 2024
    Review
  15. Post-Transcriptional Modular Synthetic Receptors.bioRxiv : the preprint server for biology · 2024
    Article
  16. Review
  17. Article
  18. Synthetic Gene Circuits for Regulation of Next-Generation Cell-Based Therapeutics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  19. Review
  20. Review

1 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

8 authors at 2 institutions in 1 country.

Nathan H KipnissDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.ORCID http://orcid.org/0000-0001-9864-942X
P C Dave P DingalDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Timothy R AbbottDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.ORCID http://orcid.org/0000-0001-7404-811X
Yuchen GaoCancer Biology Program, Stanford University, Stanford, CA, 94305, USA.
Haifeng WangDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Antonia A DominguezDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Louai LabaniehDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Lei S QiDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA. stanley.qi@stanford.edu.ORCID http://orcid.org/0000-0002-3965-3223
Stanford University · USStanford Health Care · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Vittorio Sebastiano · 2007 to 2026
$71.4M
Harnessing CRISPR for Targeted and Inducible Epigenomic ReprogrammingR01DA036858 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A, QI, LEI STANLEY · 2013 to 2017
$2.9M
NCI NIH HHS P30 CA124435NIDA NIH HHS R01 DA036858
6 · The paper itself

Abstract

G-protein-coupled receptors (GPCRs) are the largest and most diverse group of membrane receptors in eukaryotes and detect a wide array of cues in the human body. Here we describe a molecular device that couples CRISPR-dCas9 genome regulation to diverse natural and synthetic extracellular signals via GPCRs. We generate alternative architectures for fusing CRISPR to GPCRs utilizing the previously reported design, Tango, and our design, ChaCha. Mathematical modeling suggests that for the CRISPR ChaCha design, multiple dCas9 molecules can be released across the lifetime of a GPCR. The CRISPR ChaCha is dose-dependent, reversible, and can activate multiple endogenous genes simultaneously in response to extracellular ligands. We adopt the design to diverse GPCRs that sense a broad spectrum of ligands, including synthetic compounds, chemokines, mitogens, fatty acids, and hormones. This toolkit of CRISPR-coupled GPCRs provides a modular platform for rewiring diverse ligand sensing to targeted genome regulation for engineering cellular functions.

Indexed as

CRISPR-Cas SystemsReceptors, G-Protein-CoupledCell EngineeringClustered Regularly Interspaced Short Palindromic RepeatsHEK293 CellsHumansLigandsModels, TheoreticalLigandsReceptors, G-Protein-Coupled

Identifiers

PMID29263378
PMCPMC5738360
OpenAlexW2952851245

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.