Evidence map›Paper›PMID 20140478›Full record

ArticleCellular and molecular life sciences : CMLS2010

The impact on microtubule network of a bracovirus IkappaB-like protein.

Serena Duchi, Valeria Cavaliere, Luca Fagnocchi, Maria Rosaria Grimaldi, Patrizia Falabella, Franco Graziani, Silvia Gigliotti, Francesco Pennacchio, Giuseppe Gargiulo

Open access · greenAbstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Serena DuchiDipartimento Biologia Evoluzionistica Sperimentale, Università di Bologna, Via Selmi 3, Bologna, Italy.
Valeria Cavaliere
Luca Fagnocchi
Maria Rosaria Grimaldi
Patrizia Falabella
Franco Graziani
Silvia Gigliotti
Francesco Pennacchio
Giuseppe Gargiulo
University of Bologna · ITInstitute of Genetics and Biophysics · ITUniversity of Basilicata · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polydnavirus-encoded IkappaB-like proteins are similar to insect and mammalian IkappaB, and an immunosuppressive function in the host cells has been inferred to these proteins. Here we show that the expression of one of these IkappaB-like viral genes, the TnBVank1, in the Drosophila germline affects the localization of gurken, bicoid, and oskar mRNAs whose gene products are relevant for proper embryonic patterning. The altered localization of these mRNAs is suggestive of general defects in the intracellular, microtubule-based, trafficking routes. Analysis of microtubule motor proteins components such as the dynein heavy chain and the kinesin heavy chain revealed defects in the polarized microtubule network. Interestingly, the TnBVANK1 viral protein is uniformly distributed over the entire oocyte cortex, and appears to be anchored to the microtubule ends. Our data open up a very interesting issue on novel function(s) played by the ank gene family by interfering with cytoskeleton organization.

Indexed as

AnimalsDrosophila melanogasterDrosophila ProteinsFemaleI-kappa B ProteinsIntracellular SpaceMicrotubulesMolecular Motor ProteinsOocytesOogenesisOvaryPhenotypePolydnaviridaeProtein TransportRNA, MessengerRNA TransportDrosophila ProteinsI-kappa B ProteinsMolecular Motor ProteinsRNA, MessengerViral Proteins

Identifiers

PMID20140478
PMCPMC11115485
OpenAlexW1997590497

What OpenQuestion holds

Textmetadata
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.