Wednesday, May 30, 2012

Nature Methods Contents: June 2012 Volume 9 pp 517 - 626

Nature Methods

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TABLE OF CONTENTS

June 2012 Volume 9, Issue 6

In This Issue
Editorial
This Month
Correspondence
Research Highlights
Methods in Brief
Tools in Brief
Technology Feature
News and Views
Review
Perspective
Brief Communications
Articles
Corrigenda
Application Note

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In This Issue

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Editorial

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fMRI: a tree with fuzzy roots p517
doi:10.1038/nmeth.2070
A deeper understanding of the mechanisms underlying functional magnetic resonance imaging signals is crucial for maximizing the return on human fMRI research.
Full Text | PDF

This Month

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The author file: Oliver Brustle p519
Monya Baker
doi:10.1038/nmeth.2035
Making direct conversion pure and efficient
Full Text | PDF

Points of view: Managing deep data in genome browsers p521
Cydney Nielsen and Bang Wong
doi:10.1038/nmeth.2049
Techniques are at hand for taming the ever-growing number of data tracks.
Full Text | PDF

Correspondence

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Mitochondrial genomes gleaned from human whole-exome sequencing pp523 - 524
Ernesto Picardi and Graziano Pesole
doi:10.1038/nmeth.2029
Full Text | PDF

Protease bias in absolute protein quantitation pp524 - 525
Mao Peng, Nadia Taouatas, Salvatore Cappadona, Bas van Breukelen, Shabaz Mohammed, Arjen Scholten and Albert J R Heck
doi:10.1038/nmeth.2031
Full Text | PDF

Improved linear mixed models for genome-wide association studies pp525 - 526
Jennifer Listgarten, Christoph Lippert, Carl M Kadie, Robert I Davidson, Eleazar Eskin and David Heckerman
doi:10.1038/nmeth.2037
Full Text | PDF

Research Highlights

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Drosophila's outdoor schedule p529
Fly rhythms under natural light and temperature differ from those in the lab.

Understudies of DNA and RNA pp530 - 531
With the help of engineered polymerases and reverse transcriptases, synthetic nucleic acids can encode and pass on genetic information.

Refined siRNA screens pp530 - 531
Bioinformatic discrimination of siRNAs that perturb cells via direct versus indirect effects can improve data quality and change hit lists in image-based screens.

Capturing sequences for bioprospecting p532
Recombineering between two linear molecules enables long sequences to be efficiently cloned from a genomic mixture.

Controlling biology by radio p535
Radio waves and iron nanoparticles could hold the key to targeted perturbation of cells deep inside living tissue.

Improving gene-editing nucleases p536
A flurry of recent papers report refinements to the activity and the assembly of engineered nucleases.

Probing epigenetic cross-talk p538
Bisulfite sequencing of chromatin-immunoprecipitated material allows a direct assessment of cytosine methylation in histone-modified regions of DNA.

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Methods in Brief

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Gene expression regulation using nanohorns  | A window into the synapse  | Joining forces to find microRNA targets  | Sequencing 5-hydroxymethylcytosine 

Tools in Brief

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Sequencing the end  | Probes to detect strain  | Rapamycin's sister  | Tag, you're orange 

Technology Feature

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Digital PCR hits its stride pp541 - 544
Monya Baker
doi:10.1038/nmeth.2027
As the less familiar cousin of quantitative PCR moves mainstream, researchers have more options to choose from.
Full Text | PDF

News and Views

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Shedding light on the BOLD fMRI response pp547 - 549
Serge Charpak and Bojana Stefanovic
doi:10.1038/nmeth.2039
Fluorescence recording of neural activity in the magnetic resonance scanner is a new strategy for examining the cellular underpinnings of blood oxygenation level-dependent (BOLD) functional magnetic resonance imaging (fMRI).
Full Text | PDF
See also: Article by Schulz et al.

Predicting microbial distributions in space and time pp549 - 551
Noah Fierer and Joshua Ladau
doi:10.1038/nmeth.2041
Researchers describe an approach to predict microbial-community composition across broad spatial and temporal gradients, an important step to bringing microbial ecology into the 21st century.
Full Text | PDF
See also: Article by Larsen et al.

Rendering RNA in 3D pp552 - 553
Reza Behrouzi and Sarah A Woodson
doi:10.1038/nmeth.2045
Integrating biochemical footprinting data with molecular dynamics yields more accurate RNA three-dimensional structure predictions.
Full Text | PDF
See also: Article by Ding et al.

Review

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Selected reaction monitoring-based proteomics: workflows, potential, pitfalls and future directions pp555 - 566
Paola Picotti and Ruedi Aebersold
doi:10.1038/nmeth.2015
In this Review, the authors provide a guide through to the different steps involved in selected reaction monitoring as well as discuss its applications.
Abstract | Full Text | PDF

Perspective

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Counting stem cells: methodological constraints pp567 - 574
Leonid V Bystrykh, Evgenia Verovskaya, Erik Zwart, Mathilde Broekhuis and Gerald de Haan
doi:10.1038/nmeth.2043
Abstract | Full Text | PDF

Brief Communications

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Small molecules enable highly efficient neuronal conversion of human fibroblasts pp575 - 578
Julia Ladewig, Jerome Mertens, Jaideep Kesavan, Jonas Doerr, Daniel Poppe, Finnja Glaue, Stefan Herms, Peter Wernet, Gesine Kögler, Franz-Josef Müller, Philipp Koch and Oliver Brüstle
doi:10.1038/nmeth.1972
To increase the efficiency of direct neuronal conversion of postnatal human fibroblasts, the authors combine two-factor neuronal programming with small molecules. This method increases the yield and purity of functional neuron-like cells by more than 15-fold.
Abstract | Full Text | PDF

Accurate identification of human Alu and non-Alu RNA editing sites pp579 - 581
Gokul Ramaswami, Wei Lin, Robert Piskol, Meng How Tan, Carrie Davis and Jin Billy Li
doi:10.1038/nmeth.1982
A computational framework is reported for the accurate and sensitive identification of RNA editing sites from whole-genome DNA and RNA sequences from the same individual.
Abstract | Full Text | PDF

A simple, versatile method for GFP-based super-resolution microscopy via nanobodies pp582 - 584
Jonas Ries, Charlotte Kaplan, Evgenia Platonova, Hadi Eghlidi and Helge Ewers
doi:10.1038/nmeth.1991
Nanobodies that bind to fluorescent proteins with high affinity and are coupled to bright organic dyes allow simple efficient labeling of fusion proteins for super-resolution microscopy.
Abstract | Full Text | PDF

Automated whole-cell patch-clamp electrophysiology of neurons in vivo  pp585 - 587
Suhasa B Kodandaramaiah, Giovanni Talei Franzesi, Brian Y Chow, Edward S Boyden and Craig R Forest
doi:10.1038/nmeth.1993
A robot, algorithm and software for automated in vivo intracellular electrophysiology are reported that can automatically perform whole-cell patch clamping in the living mouse brain with quality comparable to that for a trained human experimenter.
Abstract | Full Text | PDF

An optimized two-finger archive for ZFN-mediated gene targeting pp588 - 590
Ankit Gupta, Ryan G Christensen, Amy L Rayla, Abirami Lakshmanan, Gary D Stormo and Scot A Wolfe
doi:10.1038/nmeth.1994
The range of genomic sequences accessible by zinc-finger nucleases is expanded by this archive of validated two-finger modules.
Abstract | Full Text | PDF

Genome-scale promoter engineering by coselection MAGE pp591 - 593
Harris H Wang, Hwangbeom Kim, Le Cong, Jaehwan Jeong, Duhee Bang and George M Church
doi:10.1038/nmeth.1971
The use of marker coselection in combination with multiplex automated genome engineering (MAGE) is reported to improve the efficiency of engineered changes in bacterial genomes. The authors use the method to insert twelve 20-base-pair T7 promoters to control indirubin and indigo production.
Abstract | Full Text | PDF

M-Track: detecting short-lived protein-protein interactions in vivo  pp594 - 596
Aurora Zuzuarregui, Thomas Kupka, Bhumika Bhatt, Ilse Dohnal, Ingrid Mudrak, Christina Friedmann, Stefan Schüchner, Ingrid E Frohner, Gustav Ammerer and Egon Ogris
doi:10.1038/nmeth.2017
A proximity assay based on methylation of interacting 'prey' proteins by a 'bait' fused to the histone lysine methyltransferase permits the detection of enzyme-substrate protein-protein interactions in yeast.
Abstract | Full Text | PDF

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Articles

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Simultaneous BOLD fMRI and fiber-optic calcium recording in rat neocortex pp597 - 602
Kristina Schulz, Esther Sydekum, Roland Krueppel, Christoph J Engelbrecht, Felix Schlegel, Aileen Schröter, Markus Rudin and Fritjof Helmchen
doi:10.1038/nmeth.2013
Simultaneous functional magnetic resonance imaging (fMRI) and fiber-optic-based calcium recordings in rats allow investigation of the relationship between blood oxygen level-dependent (BOLD) fMRI signals and the underlying neural activity. The study uncovers prolonged BOLD signal components involving glial activation.
Abstract | Full Text | PDF
See also: News and Views by Charpak & Stefanovic

Three-dimensional RNA structure refinement by hydroxyl radical probing pp603 - 608
Feng Ding, Christopher A Lavender, Kevin M Weeks and Nikolay V Dokholyan
doi:10.1038/nmeth.1976
Hydroxyl radical probing measurements of large RNA molecules drive molecular dynamics simulations to generate three-dimensional structural models.
Abstract | Full Text | PDF
See also: News and Views by Behrouzi & Woodson

Systematic evaluation of factors influencing ChIP-seq fidelity pp609 - 614
Yiwen Chen, Nicolas Negre, Qunhua Li, Joanna O Mieczkowska, Matthew Slattery, Tao Liu, Yong Zhang, Tae-Kyung Kim, Housheng Hansen He, Jennifer Zieba, Yijun Ruan, Peter J Bickel, Richard M Myers, Barbara J Wold, Kevin P White, Jason D Lieb and X Shirley Liu
doi:10.1038/nmeth.1985
The authors analyze how sequencing depth, choice of control sample, paired-end versus single-end reads and the selection of peak-calling algorithm influence the interpretation of chromatin immunoprecipitation-sequencing (ChIP-seq) experiments.
Abstract | Full Text | PDF

FMT-XCT: in vivo animal studies with hybrid fluorescence molecular tomography-X-ray computed tomography pp615 - 620
Angelique Ale, Vladimir Ermolayev, Eva Herzog, Christian Cohrs, Martin Hrabé de Angelis and Vasilis Ntziachristos
doi:10.1038/nmeth.2014
A hybrid fluorescence molecular tomography-X ray computed tomography system is applied for in vivo imaging of multiple mouse models, and its performance is validated on post-mortem cryosection data.
Abstract | Full Text | PDF

Predicting bacterial community assemblages using an artificial neural network approach pp621 - 625
Peter E Larsen, Dawn Field and Jack A Gilbert
doi:10.1038/nmeth.1975
Microbial Assemblage Prediction is a predictive model for the climate-dependent abundance of microbial taxa in space and time. It takes potential interactions between taxa into account and is used on longitudinal metagenomic and climate data from the Western English Channel.
Abstract | Full Text | PDF
See also: News and Views by Fierer & Ladau

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Corrigenda

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Corrigendum: Protein interaction data curation: the International Molecular Exchange (IMEx) consortium p626
Sandra Orchard, Samuel Kerrien, Sara Abbani, Bruno Aranda, Jignesh Bhate, Shelby Bidwell, Alan Bridge, Leonardo Briganti, Fiona Brinkman, Gianni Cesareni, Andrew Chatr-aryamontri, Emilie Chautard, Carol Chen, Marine Dumousseau, Johannes Goll, Robert Hancock, Linda I Hannick, Igor Jurisica, Jyoti Khadake, David J Lynn, Usha Mahadevan, Livia Perfetto, Arathi Raghunath, Sylvie Ricard-Blum, Bernd Roechert, Lukasz Salwinski, Volker Stumpflen, Mike Tyers, Peter Uetz, Ioannis Xenarios and Henning Hermjakob
doi:10.1038/nmeth0612-626a
Full Text | PDF

Corrigendum: Enhanced photostability of cyanine fluorophores across the visible spectrum p626
Roger B Altman, Qinsi Zheng, Zhou Zhou, Daniel S Terry, J David Warren and Scott C Blanchard
doi:10.1038/nmeth0612-626b
Full Text | PDF

Application Note

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A transposable approach to RNA-seq from total RNA 
Scott Kuersten
Abstract | Full Text | PDF

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