Evidence map›Paper›PMID 41615513›Full record

ArticleNeuromolecular medicine2026

In Silico Phosphoproteomic Analysis Reveals Divergent Regulation of Presenilin 1 and Presenilin 2.

Sadia Begum, Javier Andres De Alvarez, Claudia Manzoni, Charlie Arber, Patrick A Lewis

Abstract read
In one paragraph

Article in Neuromolecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sadia BegumKings College London, Great Maze Pond, London, SE1 1UL, UK.
Javier Andres De AlvarezRoyal Veterinary College, Camden Town, NW1 0TU, UK.
Claudia ManzoniUCL School of Pharmacy, Brunswick Square, WC1N 1AX, London, UK.
Charlie ArberUCL Queen Square Institute of Neurology, Queen Square, London, WC1N 3BG, UK.
Patrick A LewisRoyal Veterinary College, Camden Town, NW1 0TU, UK. plewis@rvc.ac.uk.

Funding

Royal Society IF\R2\222002
6 · The paper itself

Abstract

The Presenilins are multi-pass transmembrane proteins that form part of the multi-protein gamma secretase complex. The hydrolytic activity of the gamma secretase complex is responsible for the cleavage of a wide range of substrates, including the amyloid precursor protein (APP) - a proteolytic event that is the final step in the production of the amyloid beta peptide, a protein fragment deposited in the brains of individuals with Alzheimer's disease (AD). Both PSEN1 and PSEN2, the genes encoding the Presenilins, are mutated in familial AD, generating intense interest in the activity and function of these proteins. Despite this attention, the post-translational modification and regulation of the Presenilins is poorly understood. In order to address this gap in our knowledge, a bioinformatic approach was taken to examine the extant evidence for Presenilin phosphorylation. Derived from the Phosphosite repository, these data reveal divergent patterns of phosphorylation across Presenilin 1 and 2, highlighting distinct regulatory pathways that have implications for our understanding of the biology of these proteins, gamma secretase, and drug discovery targeting this complex.

Indexed as

PhosphoproteinsPresenilin-1Presenilin-2Alzheimer DiseaseAmino Acid SequenceAmyloid beta-Protein PrecursorAmyloid Precursor Protein SecretasesAnimalsHumansPhosphorylationProtein Processing, Post-TranslationalProteomicsAmyloid beta-Protein PrecursorAmyloid Precursor Protein SecretasesPhosphoproteinsPresenilin-1Presenilin-2PSEN1 protein, humanPSEN2 protein, humanAlzheimer’s diseaseGamma secretasePresenilinSignal transduction

Identifiers

PMID41615513
PMCPMC12858466

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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.