Evidence map›Paper›PMID 24705082›Full record

ArticleGenes2012

RNAi in Arthropods: Insight into the Machinery and Applications for Understanding the Pathogen-Vector Interface.

Annette-Christi Barnard, Ard M Nijhof, Wilma Fick, Christian Stutzer, Christine Maritz-Olivier

Abstract read
In one paragraph

Article in Genes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

5 authors.

Annette-Christi BarnardDepartment of Biochemistry, University of Pretoria, Pretoria, 0002, South Africa. annettechristi@gmail.com.
Ard M NijhofInstitut für Parasitologie und Tropenveterinärmedizin, Freie Universität Berlin, Königsweg 67, 14163, Berlin, Germany. ardmenzo.nijhof@fu-berlin.de.
Wilma FickDepartment of Genetics, University of Pretoria, Pretoria, 0002, South Africa. wilma.fick@up.ac.za.
Christian StutzerDepartment of Biochemistry, University of Pretoria, Pretoria, 0002, South Africa. christian.stutzer@gmail.com.
Christine Maritz-OlivierDepartment of Genetics, University of Pretoria, Pretoria, 0002, South Africa. wilma.fick@up.ac.za.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The availability of genome sequencing data in combination with knowledge of expressed genes via transcriptome and proteome data has greatly advanced our understanding of arthropod vectors of disease. Not only have we gained insight into vector biology, but also into their respective vector-pathogen interactions. By combining the strengths of postgenomic databases and reverse genetic approaches such as RNAi, the numbers of available drug and vaccine targets, as well as number of transgenes for subsequent transgenic or paratransgenic approaches, have expanded. These are now paving the way for in-field control strategies of vectors and their pathogens. Basic scientific questions, such as understanding the basic components of the vector RNAi machinery, is vital, as this allows for the transfer of basic RNAi machinery components into RNAi-deficient vectors, thereby expanding the genetic toolbox of these RNAi-deficient vectors and pathogens. In this review, we focus on the current knowledge of arthropod vector RNAi machinery and the impact of RNAi on understanding vector biology and vector-pathogen interactions for which vector genomic data is available on VectorBase.

Identifiers

PMID24705082
PMCPMC3899984

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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.