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Whole-genome microarrays of fission yeast: characteristics, accuracy, reproducibility, and processing of array data

Overview of attention for article published in BMC Genomics, July 2003
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Title
Whole-genome microarrays of fission yeast: characteristics, accuracy, reproducibility, and processing of array data
Published in
BMC Genomics, July 2003
DOI 10.1186/1471-2164-4-27
Pubmed ID
Authors

Rachel Lyne, Gavin Burns, Juan Mata, Chris J Penkett, Gabriella Rustici, Dongrong Chen, Cordelia Langford, David Vetrie, Jürg Bähler

Abstract

The genome of the fission yeast Schizosaccharomyces pombe has recently been sequenced, setting the stage for the post-genomic era of this increasingly popular model organism. We have built fission yeast microarrays, optimised protocols to improve array performance, and carried out experiments to assess various characteristics of microarrays. We designed PCR primers to amplify specific probes (180-500 bp) for all known and predicted fission yeast genes, which are printed in duplicate onto separate regions of glass slides together with control elements (approximately 13,000 spots/slide). Fluorescence signal intensities depended on the size and intragenic position of the array elements, whereas the signal ratios were largely independent of element properties. Only the coding strand is covalently linked to the slides, and our array elements can discriminate transcriptional direction. The microarrays can distinguish sequences with up to 70% identity, above which cross-hybridisation contributes to the signal intensity. We tested the accuracy of signal ratios and measured the reproducibility of array data caused by biological and technical factors. Because the technical variability is lower, it is best to use samples prepared from independent biological experiments to obtain repeated measurements with swapping of fluorochromes to prevent dye bias. We also developed a script that discards unreliable data and performs a normalization to correct spatial artefacts. This paper provides data for several microarray properties that are rarely measured. The results define critical parameters for microarray design and experiments and provide a framework to optimise and interpret array data. Our arrays give reproducible and accurate expression ratios with high sensitivity. The scripts for primer design and initial data processing as well as primer sequences and detailed protocols are available from our website.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Japan 1 1%
United States 1 1%
Belgium 1 1%
Unknown 76 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 27%
Student > Ph. D. Student 18 22%
Professor > Associate Professor 6 7%
Professor 6 7%
Student > Bachelor 4 5%
Other 14 17%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 49%
Biochemistry, Genetics and Molecular Biology 27 33%
Earth and Planetary Sciences 1 1%
Medicine and Dentistry 1 1%
Unknown 12 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 March 2012.
All research outputs
#7,472,947
of 22,846,662 outputs
Outputs from BMC Genomics
#3,603
of 10,656 outputs
Outputs of similar age
#16,622
of 48,556 outputs
Outputs of similar age from BMC Genomics
#2
of 7 outputs
Altmetric has tracked 22,846,662 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,656 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 59% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 48,556 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.