Evidence map›Paper›PMID 19825181›Full record

ArticleBMC genomics2009

A comparative analysis of DNA barcode microarray feature size.

Ron Ammar, Andrew M Smith, Lawrence E Heisler, Guri Giaever, Corey Nislow

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  8. Functional toxicogenomics: mechanism-centered toxicology.International journal of molecular sciences · 2010
    Review
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

5 authors.

Ron AmmarDepartment of Molecular Genetics, University of Toronto, 1 King's College Circle, Toronto, Ontario M5S 1A8, Canada.
Andrew M Smith
Lawrence E Heisler
Guri Giaever
Corey Nislow

Funding

ORDERED OVERLAPPING COSMID CLONES--CHROMOSOME 21/22R01HG000317 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI GUSELLA, JAMES F · 1990 to 1993
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Canadian Institutes of Health Research MOP-81340Canadian Institutes of Health Research MOP-84305NHGRI NIH HHS HG00317-05
6 · The paper itself

Abstract

backgroundMicroarrays are an invaluable tool in many modern genomic studies. It is generally perceived that decreasing the size of microarray features leads to arrays with higher resolution (due to greater feature density), but this increase in resolution can compromise sensitivity.

resultsWe demonstrate that barcode microarrays with smaller features are equally capable of detecting variation in DNA barcode intensity when compared to larger feature sizes within a specific microarray platform. The barcodes used in this study are the well-characterized set derived from the Yeast KnockOut (YKO) collection used for screens of pooled yeast (Saccharomyces cerevisiae) deletion mutants. We treated these pools with the glycosylation inhibitor tunicamycin as a test compound. Three generations of barcode microarrays at 30, 8 and 5 microm features sizes independently identified the primary target of tunicamycin to be ALG7.

conclusionWe show that the data obtained with 5 microm feature size is of comparable quality to the 30 microm size and propose that further shrinking of features could yield barcode microarrays with equal or greater resolving power and, more importantly, higher density.

Indexed as

Comparative Genomic HybridizationDNA, FungalGenome, FungalGenomicsOligonucleotide Array Sequence AnalysisSaccharomyces cerevisiaeTunicamycinDNA, FungalTunicamycin

Identifiers

PMID19825181
PMCPMC2765990

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.