Evidence map›Paper›PMID 31858719›Full record

ArticleCytoskeleton (Hoboken, N.J.)2020

The outer dynein arm assembly factor CCDC103 forms molecular scaffolds through multiple self-interaction sites.

Stephen M King, Ramila S Patel-King

Open access · greenAbstract read
In one paragraph

Article in Cytoskeleton (Hoboken, N.J.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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  5. 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

2 authors at 1 institution in 1 country.

Stephen M KingDepartment of Molecular Biology and Biophysics, University of Connecticut Health Center, Farmington, CT.ORCID 0000-0002-5484-5530
Ramila S Patel-KingDepartment of Molecular Biology and Biophysics, University of Connecticut Health Center, Farmington, CT.
UConn Health · US

Funding

MOLECULAR ANALYSIS OF FLAGELLAR DYNEIN FUNCTIONR01GM051293 · NIGMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI KING, STEPHEN M · 1995 to 2020
$6.9M
NIGMS NIH HHS R01 GM051293
6 · The paper itself

Abstract

CCDC103 is a small protein with unusual biophysical properties that is required for outer dynein arm assembly on ciliary axonemes. Mutations in both human and zebrafish CCDC103 proteins lead to primary ciliary dyskinesia. Previous studies revealed that this protein can oligomerize and appears to be arrayed along the entire length of the ciliary axoneme. CCDC103 also binds purified microtubules directly and indeed stabilizes them. Here we use biochemical approaches to identify two regions of CCDC103 that mediate self-interaction. In both cases, these associations are stable to heating in the presence of detergent and are not disrupted by strong reducing agents. One interaction region consists of a 27-residue inherently disorder segment that can mediate heat/detergent-resistant dimerization when attached to unrelated monomeric proteins. The second interface includes the C-terminal RPAP3_C alpha helical domain. Our data suggest that CCDC103 can form an unconventional polymer and we propose models for how the monomers might be organized. We also use molecular modeling of the RPAP3_C domain to determine the structural consequences of the pathogenic H154P mutation found in human PCD patients.

Indexed as

AxonemeCiliaDyneinsFlagellaHumansMicrotubule-Associated ProteinsModels, MolecularMutationProtein Structure, SecondaryTissue ScaffoldsCCDC103 protein, humanDyneinsMicrotubule-Associated ProteinsAxonemeChlamydomonasciliadyneinflagellamicrotubule

Identifiers

PMID31858719
PMCPMC7002230
OpenAlexW2995182468

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.