Monday, March 18, 2013

Nature Reviews Genetics Contents April 2013 Volume 14 Number 4 pp 237 - 300

Nature Reviews Genetics


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TABLE OF CONTENTS
 
April 2013 Volume 14 Number 4
Nature Reviews Genetics cover
Impact Factor 30.075 *
In this issue
Research Highlights
Progress
Reviews
Perspectives
Correspondence


Also this month
Article series:
Computational tools
Regulatory elements
Translational genetics
 Featured article:
Understanding, predicting and manipulating the genotypic evolution of antibiotic resistance
Adam C. Palmer & Roy Kishony


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RESEARCH HIGHLIGHTS
Top

Complex traits: Missing in action
p237 | doi:10.1038/nrg3447
PDF


Gene expression: Influences on noise
p238 | doi:10.1038/nrg3448
PDF


Genome organization: Supercoiled roles
p238 | doi:10.1038/nrg3452
PDF


Synthetic biology: A circuit to remember
p239 | doi:10.1038/nrg3450
PDF


Evolution: Experimental evolution probes neighbourly niches
p240 | doi:10.1038/nrg3449
PDF


Genetic screening: Interaction maps for mammals
p240 | doi:10.1038/nrg3451
PDF


Evolution: A matter of balance
p240 | doi:10.1038/nrg3453
PDF



IN BRIEF

Regulatory RNA: Circular sponges | Gene regulation: Allosteric effects | Evolution: Tracking down human adaptations | Technology: Making mice with TALENs | RNA: New tricks for an old enzyme | Epigenetics: Plant epigenomic diversity explored | Genetic testing: New guidelines for paediatric genetics
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PROGRESS
Top
Understanding, predicting and manipulating the genotypic evolution of antibiotic resistance
Adam C. Palmer & Roy Kishony
p243 | doi:10.1038/nrg3351
The authors review new tools for studying the evolution of antibiotic resistance, including approaches to evolve resistance in the laboratory and analysis of clinical samples. Insights into pathways of evolution and the basis of resistance could inform future management of infections.
Abstract | Full Text | PDF
 
REVIEWS
Top
Article series: Computational tools
Emerging methods in protein co-evolution
David de Juan, Florencio Pazos & Alfonso Valencia
p249 | doi:10.1038/nrg3414
Functional interactions between proteins and within proteins results in co-evolutionary signatures in amino acid sequences that serve as clues to various forms of interdependence. This Review discusses the principles and distinctions of the large range of computational tools to analyse protein co-evolution and the biological insight that they are providing.
Abstract | Full Text | PDF | Supplementary information

Genomic signatures of selection at linked sites: unifying the disparity among species
Asher D. Cutter & Bret A. Payseur
p262 | doi:10.1038/nrg3425
Evolution by natural selection at genomic loci sculpts the sequence features of not just each immediate locus but also nearby chromosomally linked sites. However, the way that this occurs substantially varies among different species, and this Review discusses potential reasons for these disparities.
Abstract | Full Text | PDF

How cells get the message: dynamic assembly and function of mRNA-protein complexes
Michaela Müller-McNicoll & Karla M. Neugebauer
p275 | doi:10.1038/nrg3434
RNA-binding proteins (RBPs) are crucial for guiding mRNAs through the many steps from transcription to translation and decay. This Review discusses recent insights into the repertoire of RBPs, how they package RNA molecules and how they can connect different processing steps.
Abstract | Full Text | PDF

 
PERSPECTIVES
Top
VIEWPOINT
Article series: Regulatory elements
Enhancers: five essential questions
Len A. Pennacchio, Wendy Bickmore, Ann Dean, Marcelo A. Nobrega & Gill Bejerano
p288 | doi:10.1038/nrg3458
Although enhancers are crucial and widespread gene-regulatory elements, we are far from a complete understanding of how they function or their importance in areas such as disease and evolution. Five prominent researchers discuss some of the key outstanding questions in enhancer biology.
Abstract |Full Text | PDF

OPINION
Article series: Translational genetics
Disease-targeted sequencing: a cornerstone in the clinic
Heidi L. Rehm
p295 | doi:10.1038/nrg3463
Clinical sequencing tests that focus on genes linked to specific diseases or phenotypes are increasingly widely being used. This article discusses how disease-targeting tests retain several advantages despite moves towards the clinical application of whole-genome or exome sequencing.
Abstract | Full Text | PDF

 
CORRESPONDENCE
Top
Correspondence: Mixed models can correct for population structure for genomic regions under selection
Jae Hoon Sul & Eleazar Eskin
p300 | doi:10.1038/nrg2813-c1
Full Text | PDF
 

Top
Reply: Response to Sul and Eskin
Alkes L. Price, Noah A. Zaitlen, David Reich & Nick Patterson
p300 | doi:10.1038/nrg2813-c2
Full Text | PDF
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