Evidence map›Paper›PMID 19500410›Full record

ArticleBMC genomics2009

Comparative profiling of the transcriptional response to infection in two species of Drosophila by short-read cDNA sequencing.

Timothy B Sackton, Andrew G Clark

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  5. Article
  6. Evolutionary genetics of insect innate immunity.Briefings in functional genomics · 2015
    Review
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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

2 authors.

Timothy B SacktonDepartment of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA. tbs7@cornell.edu
Andrew G Clark

Funding

Functional /Comparative Genomic of Drosophila immunityR01AI064950 · NIAID · CORNELL UNIVERSITY ITHACA · PI CLARK, ANDREW G, LAZZARO, BRIAN · 2005 to 2016
$3.7M
Howard Hughes Medical InstituteNIAID NIH HHS R01 AI064950
6 · The paper itself

Abstract

backgroundHomology-based comparisons of the genes involved in innate immunity across many insect taxa with fully sequenced genomes has revealed a striking pattern of gene gain and loss, particularly among genes that encode proteins involved in clearing pathogens (effectors). However, limited functional annotation in non-model systems has hindered understanding of evolutionary novelties in the insect innate immune system.

resultsWe use short read sequencing technology (Illumina/Solexa) to compare the transcriptional response to infection between the well studied model system Drosophila melanogaster and the distantly related drosophilid D. virilis. We first demonstrate that Illumina/Solexa sequencing of cDNA from infected and uninfected D. melanogaster recapitulates previously published microarray studies of the transcriptional response to infection in this species, validating our approach. We then show that patterns of transcription of homologous genes differ considerably between D. melanogaster and D. virilis, and identify potential candidates for novel components of the D. virilis immune system based on transcriptional data. Finally, we use a proteomic approach to characterize the protein constituents of the D. virilis hemolymph and validate our transcriptional data.

conclusionThese results suggest that the acquisition of novel components of the immune system, and particularly novel effector proteins, may be a common evolutionary phenomenon.

Indexed as

AnimalsBacterial InfectionsChromosome MappingDNA, ComplementaryDrosophilaGene Expression ProfilingGenes, InsectHemolymphMarkov ChainsProteomicsSequence AlignmentSequence Analysis, DNATandem Mass SpectrometryTranscription, GeneticDNA, Complementary

Identifiers

PMID19500410
PMCPMC2701966

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.