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Genome Biology 2005, 6(12):363
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Must Read
F1000 Factor 6.0


Global metabolite analysis of yeast: evaluation of sample preparation methods.
Villas-Bôas SG, Højer-Pedersen J, Akesson M, Smedsgaard J, Nielsen J
Yeast 2005 Oct 30 22(14):1155-69 [
abstract on PubMed][request from library]
Selected by | Oliver Fiehn
Evaluated 21 Nov 2005

Faculty Comments
Faculty Member Comments
Oliver Fiehn
University of California, Davis, United States of America
PLANT BIOLOGY


Confirmation
Tech Advance
This is the first report carefully examining different extraction methods for yeast cells and subsequent metabolite profiling with respect to effectivity of quenching metabolism, leakage and eventual recovery of intracellular metabolites. This is a breakthrough paper for yeast and microbial metabolomics, giving solid ground for further methodological improvements and guidelines for how method validation must be carried out in other organisms.

Evaluated 21 Nov 2005

Must Read
F1000 Factor 6.0


High-frequency homologous recombination in plants mediated by zinc-finger nucleases.
Wright DA, Townsend JA, Winfrey RJ, Irwin PA, Rajagopal J, Lonosky PM, Hall BD, Jondle MD, Voytas DF
Plant J 2005 Nov 44(4):693-705 [
abstract on PubMed] [request from library]
Selected by | Julia Kehr
Evaluated 21 Nov 2005

Faculty Comments
Faculty Member Comments
Julia Kehr
Max-Planck-Institut fur Molekulare Pflanzenphysiologie, Germany
PLANT BIOLOGY


Tech Advance
This interesting article describes the successful increase of homologous recombination events in tobacco protoplasts by using zinc-finger nucleases (ZFNs) that introduce site-specific chromosome breaks. The ZFNs can be engineered to target any gene of interest and the described method has, therefore, a high potential to allow directed studies of gene functions in higher plants.

Evaluated 21 Nov 2005

Recommended
F1000 Factor 3.0


Predicting candidate genomic sequences that correspond to synthetic functional RNA motifs.
Laserson U, Gan HH, Schlick T
Nucleic Acids Res 2005 33(18):6057-69 [
abstract on PubMed] [request from library]
Selected by | Stephen Holbrook
Evaluated 28 Nov 2005

Faculty Comments
Faculty Member Comments
Stephen Holbrook
Lawrence Berkeley National Lab, United States of America
STRUCTURAL BIOLOGY


Hypothesis
New Finding
The authors propose to use RNA aptamer and ribozyme sequence and structure conservation to search for new functional RNA motifs in genomic sequences. They find putative examples of streptomycin, chloramphenicol, neomycin B and ATP aptamers in microbial genomes (i.e. streptomyces). Although the authors use computation to screen out some hits, there is a need for better methods to eliminate false positives. Experimental verification is also a must.

Evaluated 28 Nov 2005

Recommended
F1000 Factor 3.0


Molecular phylogeny of Oryzeae (Poaceae) based on DNA sequences from chloroplast, mitochondrial, and nuclear genomes.
Guo YL, Ge S
Am J Bot 2005 92:1548-1558 [
request from library]
Selected by | Elizabeth Kellogg
Evaluated 18 Nov 2005

Faculty Comments
Faculty Member Comments
Elizabeth Kellogg
University of Missouri-St. Louis, United States of America
DEVELOPMENTAL BIOLOGY


New Finding
This paper presents a well-supported multigene phylogeny for the rice tribe Oryzeae and, thus, provides a necessary broad context for evolutionary studies in Oryza. Importantly, the authors estimate the date of the stem node of Oryza, corresponding to the split between Oryza and its sister genus Leersia, at about 14 million years ago (mya). The date of the earliest speciation event in Oryza (the crown node) is estimated at about 9 mya.

Evaluated 18 Nov 2005

Recommended
F1000 Factor 3.0


Genomic Variability within an Organism Exposes Its Cell Lineage Tree.
Frumkin D, Wasserstrom A, Kaplan S, Feige U, Shapiro E
PLoS Comput Biol 2005 Oct 1(5):e50 [
abstract on PubMed] [FREE full text]
Selected by | Helen Chamberlin
Evaluated 18 Nov 2005

Faculty Comments
Faculty Member Comments
Helen Chamberlin
Ohio State University, United States of America
DEVELOPMENTAL BIOLOGY


Hypothesis
Tech Advance
I like this paper because it applies established lab protocols and computational algorithms in an innovative way to determine cell lineage in large multicellular organisms. The authors propose - and then experimentally and computationally test - the idea that mutations in microsatellite sequence that occur during DNA replication can be used to determine the developmental relationship among cells in a single organism, in the same way that sequence differences are used to determine the evolutionary relationship among populations or species. This approach has the potential to establish the developmental relationship among cells in a particular organ, determine the original source of tumor cells, and track the conserved and divergent cell lineage patterns in individuals of the same species.

Evaluated 18 Nov 2005













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