Evidence map›Paper›PMID 30030823›Full record

ReviewAdvances in experimental medicine and biology2018

Modeling the Notch Response.

Udi Binshtok, David Sprinzak

Open access · greenAbstract readReview
In one paragraph

Review in Advances in experimental medicine and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.2field-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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Towards advanced regenerative therapeutics to tackle cardio-cerebrovascular diseases.American heart journal plus : cardiology research and practice · 2025
    Review
  2. Article
  3. YAP/TAZ drives Notch and angiogenesis mechanoregulation in silico.NPJ systems biology and applications · 2024
    Article
  4. Review
  5. Cis-inhibition suppresses basal Notch signaling during sensory organ precursor selection.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Tissue engineering. Part C, Methods · 2021
    Review
  14. Review
  15. Article
  16. 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

2 authors at 1 institution in 1 country.

Udi BinshtokDepartment of Biochemistry and Molecular Biology, George S. Wise Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel.
David SprinzakDepartment of Biochemistry and Molecular Biology, George S. Wise Faculty of Life Science, Tel Aviv University, Tel Aviv, Israel. davidsp@post.tau.ac.il.
Tel Aviv University · IL

Funding

European Research Council 682161
6 · The paper itself

Abstract

NOTCH signaling regulates developmental processes in all tissues and all organisms across the animal kingdom. It is often involved in coordinating the differentiation of neighboring cells into different cell types. As our knowledge on the structural, molecular and cellular properties of the NOTCH pathway expands, there is a greater need for quantitative methodologies to get a better understanding of the processes controlled by NOTCH signaling. In recent years, theoretical and computational approaches to NOTCH signaling and NOTCH mediated patterning are gaining popularity. Mathematical models of NOTCH mediated patterning provide insight into complex and counterintuitive behaviors and can help generate predictions that can guide experiments. In this chapter, we review the recent advances in modeling NOTCH mediated patterning processes. We discuss new modeling approaches to lateral inhibition patterning that take into account cis-interactions between NOTCH receptors and ligands, signaling through long cellular protrusions, cell division processes, and coupling to external signals. We also describe models of somitogenesis, where NOTCH signaling is used for synchronizing cellular oscillations. We then discuss modeling approaches that consider the effect of cell morphology on NOTCH signaling and NOTCH mediated patterning. Finally, we consider models of boundary formation and how they are influenced by the combinatorial action of multiple ligands. Together, these topics cover the main advances in the field of modeling the NOTCH response.

Indexed as

Models, BiologicalAnimalsBody PatterningCell DivisionHumansReceptors, NotchSignal TransductionReceptors, NotchBoundary formationCell divisionCell morphologyCis-inhibitionFilopodiaLateral inhibitionMathematical modelingNOTCH signalingPattern formation

Identifiers

PMID30030823
PMCPMC6879322
OpenAlexW2884514732

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.