Evidence map›Paper›PMID 20034374›Full record

ArticleBMC molecular biology2009

Innovative approach for transcriptomic analysis of obligate intracellular pathogen: selective capture of transcribed sequences of Ehrlichia ruminantium.

Loïc Emboulé, France Daigle, Damien F Meyer, Bernard Mari, Valérie Pinarello, Christian Sheikboudou, Virginie Magnone, Roger Frutos, Alain Viari, Pascal Barbry and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in BMC molecular biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Comparative Transcriptome Profiling of Virulent and AttenuatedFrontiers in cellular and infection microbiology · 2018
    Article
  4. Article
  5. Non-coding RNA regulation in pathogenic bacteria located inside eukaryotic cells.Frontiers in cellular and infection microbiology · 2014
    Review
  6. Understanding Anaplasmataceae pathogenesis using "Omics" approaches.Frontiers in cellular and infection microbiology · 2014
    Review
  7. Article
  8. Review
  9. 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

13 authors at 4 institutions in 3 countries.

Loïc EmbouléUMR 15 CIRAD-INRA, Contrôle des maladies animales exotiques et émergentes, Site de Duclos, Prise d'Eau 97170, Petit Bourg, Guadeloupe. loic.emboule@cirad.fr
France Daigle
Damien F Meyer
Bernard Mari
Valérie Pinarello
Christian Sheikboudou
Virginie Magnone
Roger Frutos
Alain Viari
Pascal Barbry
Dominique Martinez
Thierry Lefrançois
Nathalie Vachiéry
Centre National de la Recherche Scientifique · FRCentre Inria de l'Université Grenoble Alpes · FRInstitut National de la Recherche Agronomique · MAUniversité de Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole genome transcriptomic analysis is a powerful approach to elucidate the molecular mechanisms controlling the pathogenesis of obligate intracellular bacteria. However, the major hurdle resides in the low quantity of prokaryotic mRNAs extracted from host cells. Our model Ehrlichia ruminantium (ER), the causative agent of heartwater, is transmitted by tick Amblyomma variegatum. This bacterium affects wild and domestic ruminants and is present in Sub-Saharan Africa and the Caribbean islands. Because of its strictly intracellular location, which constitutes a limitation for its extensive study, the molecular mechanisms involved in its pathogenicity are still poorly understood.

resultsWe successfully adapted the SCOTS method (Selective Capture of Transcribed Sequences) on the model Rickettsiales ER to capture mRNAs. Southern Blots and RT-PCR revealed an enrichment of ER's cDNAs and a diminution of ribosomal contaminants after three rounds of capture. qRT-PCR and whole-genome ER microarrays hybridizations demonstrated that SCOTS method introduced only a limited bias on gene expression. Indeed, we confirmed the differential gene expression between poorly and highly expressed genes before and after SCOTS captures. The comparative gene expression obtained from ER microarrays data, on samples before and after SCOTS at 96 hpi was significantly correlated (R2 = 0.7). Moreover, SCOTS method is crucial for microarrays analysis of ER, especially for early time points post-infection. There was low detection of transcripts for untreated samples whereas 24% and 70.7% were revealed for SCOTS samples at 24 and 96 hpi respectively.

conclusionsWe conclude that this SCOTS method has a key importance for the transcriptomic analysis of ER and can be potentially used for other Rickettsiales. This study constitutes the first step for further gene expression analyses that will lead to a better understanding of both ER pathogenicity and the adaptation of obligate intracellular bacteria to their environment.

Indexed as

Transcription, GeneticAnimalsCattleCells, CulturedDNA, BacterialDNA, ComplementaryEhrlichia ruminantiumGene Expression ProfilingGoatsSequence Analysis, DNADNA, BacterialDNA, Complementary

Identifiers

PMID20034374
PMCPMC2806407
OpenAlexW2071570942

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LicenceCC BY
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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.