Evidence map›Paper›PMID 25102769›Full record

ArticleBMC genomics2014

A network-based approach to dissect the cilia/centrosome complex interactome.

Roberto Amato, Manuela Morleo, Laura Giaquinto, Diego di Bernardo, Brunella Franco

Abstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. OFD1: One gene, several disorders.American journal of medical genetics. Part C, Seminars in medical genetics · 2022
    Review
  4. Pathophysiology of Primary Cilia: Signaling and Proteostasis Regulation.Frontiers in cell and developmental biology · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Building the right centriole for each cell type.The Journal of cell biology · 2018
    Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. 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

5 authors.

Roberto Amato
Manuela Morleo
Laura Giaquinto
Diego di Bernardo
Brunella FrancoTelethon Institute of Genetics and Medicine (TIGEM), Naples, Italy. franco@tigem.it.

Funding

Telethon TGM11CB3
6 · The paper itself

Abstract

backgroundCilia are microtubule-based organelles protruding from almost all mammalian cells which, when dysfunctional, result in genetic disorders called "ciliopathies". High-throughput studies have revealed that cilia are composed of thousands of proteins. However, despite many efforts, much remains to be determined regarding the biological functions of this increasingly important complex organelle.

resultsWe have derived an online tool, from a systematic network-based approach to dissect the cilia/centrosome complex interactome (CCCI). The tool integrates all current available data into a model which provides an "interaction" perspective on ciliary function. We generated a network of interactions between human proteins organized into functionally relevant "communities", which can be defined as groups of genes that are both highly inter-connected and strongly co-expressed. We then combined sequence and co-expression data in order to identify the transcription factors responsible for regulating genes within their respective communities. Our analyses have discovered communities significantly specialized for delegating specific biological functions such as mRNA processing, protein translation, folding and degradation processes that had never been associated with ciliary proteins until now.

conclusionsCCCI will allow us to clarify the roles of previously unknown ciliary functions, elucidate the molecular mechanisms underlying ciliary-associated phenotypes, and apply our knowledge of the functional roles of relatively uncharacterized molecular entities to disease phenotypes and new clinical applications.

Indexed as

CentrosomeCiliaComputational BiologyHumansInternetProtein TransportTranscription FactorsTranscriptomeTranscription Factors

Identifiers

PMID25102769
PMCPMC4137083

What OpenQuestion holds

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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.