Evidence map›Paper›PMID 23084776›Full record

ArticleGenomics, proteomics & bioinformatics2012

Novel adaptors of amyloid precursor protein intracellular domain and their functional implications.

Arunabha Chakrabarti, Debashis Mukhopadhyay

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Arunabha ChakrabartiStructural Genomics Division, Saha Institute of Nuclear Physics, Kolkata, West Bengal, India.
Debashis Mukhopadhyay

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyloid precursor protein intracellular domain (AICD) is one of the potential candidates in deciphering the complexity of Alzheimer's disease. It plays important roles in determining cell fate and neurodegeneration through its interactions with several adaptors. The presence or absence of phosphorylation at specific sites determines the choice of partners. In this study, we identified 20 novel AICD-interacting proteins by in vitro pull down experiments followed by 2D gel electrophoresis and MALDI-MS analysis. The identified proteins can be grouped into different functional classes including molecular chaperones, structural proteins, signaling and transport molecules, adaptors, motor proteins and apoptosis determinants. Interactions of nine proteins were further validated either by colocalization using confocal imaging or by co-immunoprecipitation followed by immunoblotting. The cellular functions of most of the proteins can be correlated with AD. Hence, illustration of their interactions with AICD may shed some light on the disease pathophysiology.

Indexed as

Alzheimer DiseaseAmyloid beta-Protein PrecursorApoptosisCell DifferentiationElectrophoresis, Gel, Two-DimensionalHSC70 Heat-Shock ProteinsHumansImmunoprecipitationPhosphorylationProtein Interaction Domains and MotifsProteinsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationVimentinAmyloid beta-Protein PrecursorAPP protein, humanHSC70 Heat-Shock ProteinsHSPA8 protein, humanProteinsVimentin

Identifiers

PMID23084776
PMCPMC5054717

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.