Evidence map›Paper›PMID 33534608›Full record

ReviewAnnual review of biophysics2021

Biophysics of Notch Signaling.

David Sprinzak, Stephen C Blacklow

Open access · bronzeAbstract readReview
In one paragraph

Review in Annual review of biophysics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed
11.8field-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

141 citing papers in PubMed, 214 citations in OpenAlex.

  1. Article
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  17. Review
  18. Suppression of Nr1d1/Bnip3-dependent mitophagy by notch signaling aggravates inflammatory response in RSV-infected mice lungs.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  19. Article
  20. Article

81 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

2 authors at 2 institutions in 2 countries.

David SprinzakGeorge S. Wise Faculty of Life Sciences, School of Neurobiology, Biochemistry, and Biophysics, Tel Aviv University, Tel Aviv 69978, Israel; email: davidsp@tauex.tau.ac.il.
Stephen C BlacklowDepartment of Biological Chemistry and Molecular Pharmacology, Blavatnik Institute, Harvard Medical School, Boston, Massachusetts 02115, USA; email: stephen_blacklow@hms.harvard.edu.
Boston VA Research Institute · USTel Aviv University · IL

Funding

Notch Signaling in CancerR35CA220340 · NCI · HARVARD MEDICAL SCHOOL · PI BLACKLOW, STEPHEN C. · 2017 to 2023
$7.1M
NCI NIH HHS R35 CA220340
6 · The paper itself

Abstract

Notch signaling is a conserved system of communication between adjacent cells, influencing numerous cell fate decisions in the development of multicellular organisms. Aberrant signaling is also implicated in many human pathologies. At its core, Notch has a mechanotransduction module that decodes receptor-ligand engagement at the cell surface under force to permit proteolytic cleavage of the receptor, leading to the release of the Notch intracellular domain (NICD). NICD enters the nucleus and acts as a transcriptional effector to regulate expression of Notch-responsive genes. In this article, we review and integrate current understanding of the detailed molecular basis for Notch signal transduction, highlighting quantitative, structural, and dynamic features of this developmentally central signaling mechanism. We discuss the implications of this mechanistic understanding for the functionality of the signaling pathway in different molecular and cellular contexts.

Indexed as

Signal TransductionAnimalsBiophysical PhenomenaCell NucleusHumansReceptors, NotchReceptors, Notchintramembrane proteolysismechanotransductionNotch signalingsignal transductionstructural biologytranscription

Identifiers

PMID33534608
PMCPMC8105286
OpenAlexW3127970989

What Socratic 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 Socratic graph.