Evidence map›Paper›PMID 33343338›Full record

ArticleFrontiers in aging neuroscience2020

γ-Secretase Modulatory Proteins: The Guiding Hand Behind the Running Scissors.

Eitan Wong, Georgia R Frost, Yue-Ming Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Distinct and shared effects of individual γ-secretase inhibitors on human keratinocytes.JID innovations : skin science from molecules to population health · 2026
    Article
  3. Review
  4. From defense to disease: IFITM3 in immunity and Alzheimer's disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. γ-Secretase fanning the fire of innate immunity.Biochemical Society transactions · 2023
    Review
  11. Article
  12. Article
  13. Role of Presenilin-1 in Aggressive Human Melanoma.International journal of molecular sciences · 2022
    Article
  14. Modulation of amyloid precursor protein cleavage by γ-secretase activating protein through phase separation.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Review
  16. Genomics and Functional Genomics of Alzheimer's Disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
  17. Review
  18. Review
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 1 institution in 1 country.

Eitan WongChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Georgia R FrostChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Yue-Ming LiChemical Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Regulation of y-secretase activity by modulatory proteinsR01AG061350 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI LI, YUEMING · 2019 to 2023
$4.3M
Substrate Feedback Mechanism of gamma-SecretaseRF1AG057593 · NIA · SLOAN-KETTERING INST CAN RESEARCH · PI LI, YUEMING · 2018 to 2018
$2.1M
Mechanism and Synergy of gamma-Secretase ModulatorsR01NS096275 · NINDS · SLOAN-KETTERING INST CAN RESEARCH · PI LI, YUEMING · 2016 to 2020
$2.1M
NCI NIH HHS P30 CA008748NIA NIH HHS R01 AG061350NIA NIH HHS RF1 AG057593NINDS NIH HHS R01 NS096275
6 · The paper itself

Abstract

Described as the "proteasome of the membrane" or the "scissors in the membrane," γ-secretase has notoriously complicated biology, and even after decades of research, the full extent of its regulatory mechanism remains unclear. γ-Secretase is an intramembrane aspartyl protease complex composed of four obligatory subunits: Nicastrin (NCT), Presenilin (PS), Presenilin Enhancer-2 (Pen-2), and Anterior pharynx-defective-1 (Aph-1). γ-Secretase cleaves numerous type 1 transmembrane substrates, with no apparent homology, and plays major roles in broad biological pathways such as development, neurogenesis, and cancer. Notch and the amyloid precursor protein (APP) and are undoubtedly the best-studied γ-secretase substrates because of their role in cancer and Alzheimer's disease (AD) and therefore became the focus of increasing studies as an attractive therapeutic target. The regulation of γ-secretase is intricate and involves the function of multiple cellular entities. Recently, γ-secretase modulatory proteins (GSMPs), which are non-essential subunits and yet modulate γ-secretase activity and specificity, have emerged as an important component in guiding γ-secretase. GSMPs are responsive to cellular and environmental changes and therefore, provide another layer of regulation of γ-secretase. This type of enzymatic regulation allows for a rapid and fine-tuning of γ-secretase activity when appropriate signals appear enabling a temporal level of regulation. In this review article, we discuss the latest developments on GSMPs and implications on the development of effective therapeutics for γ-secretase-associated diseases such as AD and cancer.

Indexed as

enzymehypoxiaIFITMneurodegenerationneuroinflammation

Identifiers

PMID33343338
PMCPMC7738330
OpenAlexW3108497805

What Socratic 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 Socratic graph.