Evidence map›Paper›PMID 32973177›Full record

ArticleScientific reports2020

Cilia interactome with predicted protein-protein interactions reveals connections to Alzheimer's disease, aging and other neuropsychiatric processes.

Kalyani B Karunakaran, Srilakshmi Chaparala, Cecilia W Lo, Madhavi K Ganapathiraju

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
9.5field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 64 citations in OpenAlex.

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  10. Novel compound heterozygous variants in theFrontiers in pediatrics · 2024
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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

4 authors at 2 institutions in 2 countries.

Kalyani B Karunakaran *Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India.
Srilakshmi Chaparala *Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
Cecilia W LoDepartment of Developmental Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Madhavi K GanapathirajuDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA. madhavi@pitt.edu.
University of Pittsburgh · USIndian Institute of Science Bangalore · IN

Funding

Modeling the genetic basis for human congenital heart disease in miceU01HL098180 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LO, CECILIA W. · 2009 to 2014
$8.5M
Modeling the complex genetics of congenital heart disease in miceR01HL132024 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LO, CECILIA W. · 2016 to 2019
$3.4M
Discovery of Mental Health and Inflammation (MHAIN) InteractomeR01MH094564 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GANAPATHIRAJU, MADHAVI K · 2011 to 2015
$1.9M
NHLBI NIH HHS R01 HL132024NHLBI NIH HHS U01 HL098180NIMH NIH HHS R01 MH094564NIMH NIH HHS R01MH094564
6 · The paper itself

Abstract

Cilia are dynamic microtubule-based organelles present on the surface of many eukaryotic cell types and can be motile or non-motile primary cilia. Cilia defects underlie a growing list of human disorders, collectively called ciliopathies, with overlapping phenotypes such as developmental delays and cognitive and memory deficits. Consistent with this, cilia play an important role in brain development, particularly in neurogenesis and neuronal migration. These findings suggest that a deeper systems-level understanding of how ciliary proteins function together may provide new mechanistic insights into the molecular etiologies of nervous system defects. Towards this end, we performed a protein-protein interaction (PPI) network analysis of known intraflagellar transport, BBSome, transition zone, ciliary membrane and motile cilia proteins. Known PPIs of ciliary proteins were assembled from online databases. Novel PPIs were predicted for each ciliary protein using a computational method we developed, called High-precision PPI Prediction (HiPPIP) model. The resulting cilia "interactome" consists of 165 ciliary proteins, 1,011 known PPIs, and 765 novel PPIs. The cilia interactome revealed interconnections between ciliary proteins, and their relation to several pathways related to neuropsychiatric processes, and to drug targets. Approximately 184 genes in the cilia interactome are targeted by 548 currently approved drugs, of which 103 are used to treat various diseases of nervous system origin. Taken together, the cilia interactome presented here provides novel insights into the relationship between ciliary protein dysfunction and neuropsychiatric disorders, for e.g. interconnections of Alzheimer's disease, aging and cilia genes. These results provide the framework for the rational design of new therapeutic agents for treatment of ciliopathies and neuropsychiatric disorders.

Indexed as

Protein Interaction MapsAgingAlzheimer DiseaseCiliaCiliopathiesComputational BiologyHumansNervous System DiseasesProtein Transport

Identifiers

PMID32973177
PMCPMC7515907
OpenAlexW3088412737

What OpenQuestion holds

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LicenceCC BY
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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.