Evidence map›Paper›PMID 24401680›Full record

ArticleGenome biology2014

Constitutive patterns of gene expression regulated by RNA-binding proteins.

Davide Cirillo, Domenica Marchese, Federico Agostini, Carmen Maria Livi, Teresa Botta-Orfila, Gian Gaetano Tartaglia

Abstract read
In one paragraph

Article in Genome biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  15. Advances in the characterization of RNA-binding proteins.Wiley interdisciplinary reviews. RNA · 2016
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Davide Cirillo
Domenica Marchese
Federico Agostini
Carmen Maria Livi
Teresa Botta-Orfila
Gian Gaetano Tartaglia

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRNA-binding proteins regulate a number of cellular processes, including synthesis, folding, translocation, assembly and clearance of RNAs. Recent studies have reported that an unexpectedly large number of proteins are able to interact with RNA, but the partners of many RNA-binding proteins are still uncharacterized.

resultsWe combined prediction of ribonucleoprotein interactions, based on catRAPID calculations, with analysis of protein and RNA expression profiles from human tissues. We found strong interaction propensities for both positively and negatively correlated expression patterns. Our integration of in silico and ex vivo data unraveled two major types of protein-RNA interactions, with positively correlated patterns related to cell cycle control and negatively correlated patterns related to survival, growth and differentiation. To facilitate the investigation of protein-RNA interactions and expression networks, we developed the catRAPID express web server.

conclusionsOur analysis sheds light on the role of RNA-binding proteins in regulating proliferation and differentiation processes, and we provide a data exploration tool to aid future experimental studies.

Indexed as

Gene Expression RegulationELAV-Like Protein 1HumansImmunoprecipitationProtein Interaction Domains and MotifsRNA-Binding ProteinsRNA, MessengerSequence Analysis, RNATranscriptomeELAVL1 protein, humanELAV-Like Protein 1LIN28B protein, humanRNA-Binding ProteinsRNA, Messenger

Identifiers

PMID24401680
PMCPMC4054784

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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.