Evidence map›Paper›PMID 18298834›Full record

ArticleBMC genomics2008

Microarray analysis of defined Mycobacterium tuberculosis populations using RNA amplification strategies.

Simon J Waddell, Ken Laing, Claire Senner, Philip D Butcher

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 43 citations in OpenAlex.

  1. Genome-wide transcriptional landscape ofFrontiers in immunology · 2026
    Article
  2. Article
  3. Transcriptional Profiling Mycobacterium tuberculosis from Patient Sputa.Methods in molecular biology (Clifton, N.J.) · 2018
    Article
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  10. Review
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  15. Reprogramming theDrug discovery today. Disease mechanisms · 2010
    Article
  16. Article
  17. Physiology of mycobacteria.Advances in microbial physiology · 2009
    Review
  18. 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

4 authors at 1 institution in 1 country.

Simon J WaddellMedical Microbiology, Centre for Infection, Division of Cellular & Molecular Medicine, St, George's University of London, Cranmer Terrace, Tooting, London, UK. swaddell@sgul.ac.uk
Ken Laing
Claire Senner
Philip D Butcher
St George's, University of London · GB

Funding

NIAID NIH HHS HHSN266200400091CWellcome Trust 080039
6 · The paper itself

Abstract

backgroundThe amplification of bacterial RNA is required if complex host-pathogen interactions are to be studied where the recovery of bacterial RNA is limited. Here, using a whole genome Mycobacterium tuberculosis microarray to measure cross-genome representation of amplified mRNA populations, we have investigated two approaches to RNA amplification using different priming strategies. The first using oligo-dT primers after polyadenylation of the bacterial RNA, the second using a set of mycobacterial amplification-directed primers both linked to T7 polymerase in vitro run off transcription.

resultsThe reproducibility, sensitivity, and the representational bias introduced by these amplification systems were examined by contrasting expression profiles of the amplified products from inputs of 500, 50 and 5 ng total M. tuberculosis RNA with unamplified RNA from the same source. In addition, as a direct measure of the effectiveness of bacterial amplification for identifying biologically relevant changes in gene expression, a model M. tuberculosis system of microaerophilic growth and non-replicating persistence was used to assess the capability of amplified RNA microarray comparisons. Mycobacterial RNA was reproducibly amplified using both methods from as little as 5 ng total RNA (~equivalent to 2 x 105 bacilli). Differential gene expression patterns observed with unamplified RNA in the switch from aerobic to microaerophilic growth were also reflected in the amplified expression profiles using both methods.

conclusionHere we describe two reproducible methods of bacterial RNA amplification that will allow previously intractable host-pathogen interactions during bacterial infection to be explored at the whole genome level by RNA profiling.

Indexed as

Nucleic Acid Amplification TechniquesAerobiosisBase SequenceDNA PrimersGene Expression ProfilingGenes, BacterialGenomicsMycobacterium tuberculosisOligonucleotide Array Sequence AnalysisReproducibility of ResultsRNA, BacterialSensitivity and SpecificityDNA PrimersRNA, Bacterial

Identifiers

PMID18298834
PMCPMC2276497
OpenAlexW2091376961

What OpenQuestion holds

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LicenceCC BY
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.