Evidence map›Paper›PMID 18078514›Full record

ArticleGenome biology2007

Quantification of global transcription patterns in prokaryotes using spotted microarrays.

Ben Sidders, Mike Withers, Sharon L Kendall, Joanna Bacon, Simon J Waddell, Jason Hinds, Paul Golby, Farahnaz Movahedzadeh, Robert A Cox, Rosangela Frita and 3 more

Abstract readValidation Study
In one paragraph

Article in Genome biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 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

13 authors.

Ben SiddersDepartment of Pathology and Infectious Diseases, Royal Veterinary College, Royal College Street, London, NW1 0TU, UK.
Mike Withers
Sharon L Kendall
Joanna Bacon
Simon J Waddell
Jason Hinds
Paul Golby
Farahnaz Movahedzadeh
Robert A Cox
Rosangela Frita
Annemieke M C Ten Bokum
Lorenz Wernisch
Neil G Stoker

Funding

Medical Research Council MC_U105260799Wellcome Trust 062511Wellcome Trust 073237Wellcome Trust 081455
6 · The paper itself

Abstract

We describe an analysis, applicable to any spotted microarray dataset produced using genomic DNA as a reference, that quantifies prokaryotic levels of mRNA on a genome-wide scale. Applying this to Mycobacterium tuberculosis, we validate the technique, show a correlation between level of expression and biological importance, define the complement of invariant genes and analyze absolute levels of expression by functional class to develop ways of understanding an organism's biology without comparison to another growth condition.

Indexed as

Gene Expression ProfilingGenomicsMycobacterium tuberculosisOligonucleotide Array Sequence AnalysisRNA, MessengerRNA, Messenger

Identifiers

PMID18078514
PMCPMC2246267

What OpenQuestion holds

Textmetadata
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.