Evidence map›Paper›PMID 28490499›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Development of an optimized synthetic Notch receptor as an in vivo cell-cell contact sensor.

Li He, Jiuhong Huang, Norbert Perrimon

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.1field-weighted citation impact, top 28% 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

25 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Traceless Regulation of Genetic Circuitry.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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  7. Article
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  10. Review
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  12. Article
  13. Developing synthetic tools to decipher the tumor-immune interactome.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Applications of synthetic biology in medical and pharmaceutical fields.Signal transduction and targeted therapy · 2023
    Review
  15. Article
  16. Visualizing cell-cell communication using synthetic notch activated MRI.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  17. Review
  18. Article
  19. Article
  20. Article
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

3 authors at 2 institutions in 2 countries.

Li HeDepartment of Genetics, Harvard Medical School, Boston, MA 02115.
Jiuhong HuangSchool of Life Science and Technology, Tongji University, Shanghai 200092, China.
Norbert PerrimonDepartment of Genetics, Harvard Medical School, Boston, MA 02115; perrimon@genetics.med.harvard.edu.
Harvard University · USTongji University · CN

Funding

Innovative reporters to characterize heterogeneous states among cellsR21DA039582 · NIDA · HARVARD MEDICAL SCHOOL · PI PERRIMON, NORBERT · 2014 to 2015
$466k
Howard Hughes Medical InstituteNIDA NIH HHS R21 DA039582
6 · The paper itself

Abstract

Detection and manipulation of direct cell-cell contact in complex tissues is a fundamental and challenging problem in many biological studies. Here, we report an optimized Notch-based synthetic receptor (synNQ) useful to study direct cell-cell interactions in

Indexed as

Intercellular JunctionsAnimalsCaenorhabditis elegansCell LineDrosophilaDrosophila ProteinsEpithelial CellsGreen Fluorescent ProteinsMiceReceptors, NotchDrosophila ProteinsGreen Fluorescent ProteinsN protein, DrosophilaReceptors, Notchcell–cell contactDrosophilaNotchsensor

Identifiers

PMID28490499
PMCPMC5448223
OpenAlexW2612340757

What Socratic 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 Socratic graph.