Tuesday, August 30, 2016

Nature Methods Contents: September 2016 Volume 13 pp 699 - 798

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TABLE OF CONTENTS

September 2016 Volume 13, Issue 9

In This Issue
Editorial
This Month
Correspondence
Research Highlights
Technology Feature
News and Views
Perspectives
Brief Communications
Articles
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In This Issue

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In This Issue   

Editorial

Top

Database under maintenance   p699
doi:10.1038/nmeth.3996
Managing the growth in biomedical data requires coordinated strategies and a strong financial commitment by funders and institutions.

This Month

Top

The Author File: Tim R. Mercer   p701
Vivien Marx
doi:10.1038/nmeth.3962
Sequins can help labs see how well a sequencing experiment is going. Surfing experiments are another matter.

Points of Significance: Model selection and overfitting   pp703 - 704
Jake Lever, Martin Krzywinski and Naomi Altman
doi:10.1038/nmeth.3968
With four parameters I can fit an elephant and with five I can make him wiggle his trunk.
—John von Neumann

Correspondence

Top

Impact of outdated gene annotations on pathway enrichment analysis   pp705 - 706
Lina Wadi, Mona Meyer, Joel Weiser, Lincoln D Stein and Juri Reimand
doi:10.1038/nmeth.3963

Research Highlights

Top

Nanoscopy for the whole cell
Researchers plumb the depths of the cell with volumetric 4Pi nanoscopy.

Spatial transcriptomics
By capturing and barcoding RNA in its native tissue location, researchers can visualize and quantify gene expression in situ.

Tracing cell lineage with 5hmC
Single-cell 5hmC sequencing uncovers cell-to-cell differences in the two DNA strands of a given chromosome.

The human proteome on target
SRMAtlas contains mass spectrometry assays allowing targeted analysis of nearly 100% of human proteins.

Teaching nanopores to speak protein
A proof-of-concept platform demonstrates the feasibility of nanopore-based sequencing of polypeptide chains.

NBLAST: a similarity search for neurons
By analogy to protein and DNA similarity searches, NBLAST provides a fast and efficient way of finding morphological similarities between neurons.

Automating brain mapping
Two new platforms allow single neurons to be imaged throughout the mouse brain.

Methods in Brief

Are super-enhancers really super? | Imaging chromosome organization | Model colons | Expanding expansion microscopy

Tools in Brief

Cell-specific proteomics with SORT-E | An expression atlas of the developing macaque brain | Showdown between Cas9 and Cpf1 | Super-resolution imaging in live fly larvae with RESOLFT

Methods
JOBS of the week
PhD Studentship
Institute for Clinical Chemistry and Pathobiochemistry, Otto-von-Guericke University, Magdeburg Germany
Research Group Leader
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Postdoctoral Research Scientist
Columbia University
Research Professional 1
University of Chicago
Senior Research Staff and Postdoc Positions at University of Vienna
University of Vienna (Universitaet Wien)
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Technology Feature

Top

Proteomics: taking on protein complexes   pp721 - 727
Vivien Marx
doi:10.1038/nmeth.3966

News and Views

Top

Exploiting the cyanobacterial light-harvesting machinery for developing fluorescent probes   pp729 - 730
Atsushi Miyawaki
doi:10.1038/nmeth.3983
Researchers develop a new class of near-infrared fluorescent proteins from a light-harvesting phycobiliprotein.

See also: Article by Rodriguez et al.

Perspectives

Top

The Perseus computational platform for comprehensive analysis of (prote)omics data   pp731 - 740
Stefka Tyanova, Tikira Temu, Pavel Sinitcyn, Arthur Carlson, Marco Y Hein et al.
doi:10.1038/nmeth.3901
Perseus is a comprehensive, user-friendly software platform for the biological analysis of quantitative proteomics data. It is intended to help biologists with little bioinformatics training to interpret protein expression, post-translational modification and interaction data. Also in this issue, see the Perspective by Rost et al.

OpenMS: a flexible open-source software platform for mass spectrometry data analysis   pp741 - 748
Hannes L Rost, Timo Sachsenberg, Stephan Aiche, Chris Bielow, Hendrik Weisser et al.
doi:10.1038/nmeth.3959
OpenMS is a flexible, user-friendly, open-source software platform for the biological analysis of mass spectrometry proteomics and metabolomics data. The modular platform allows developers to seamlessly generate custom data-analysis workflows and directly make such ready-made workflows available to biologist end-users. Also in this issue, see the Perspective by Tyanova et al.

Brief Communications

Top

Real-time selective sequencing using nanopore technology   pp751 - 754
Matthew Loose, Sunir Malla and Michael Stout
doi:10.1038/nmeth.3930
Read Until allows real-time selective sequencing on a nanopore sequencer, enabling applications such as target enrichment and amplicon normalization.

LOVTRAP: an optogenetic system for photoinduced protein dissociation   pp755 - 758
Hui Wang, Marco Vilela, Andreas Winkler, Miroslaw Tarnawski, Ilme Schlichting et al.
doi:10.1038/nmeth.3926
LOVTRAP enables rapid optogenetic control of protein dissociation and is complementary to related optogenetic tools that mediate light-induced protein association. LOVTRAP is applied to the study of oscillatory processes at the cell membrane.

Virtual microfluidics for digital quantification and single-cell sequencing   pp759 - 762
Liyi Xu, Ilana L Brito, Eric J Alm and Paul C Blainey
doi:10.1038/nmeth.3955
Virtual microfluidics uses hydrogel entrapment to make high-throughput single-cell and single-molecule amplification broadly accessible without the need for special equipment.

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Articles

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A far-red fluorescent protein evolved from a cyanobacterial phycobiliprotein   pp763 - 769
Erik A Rodriguez, Geraldine N Tran, Larry A Gross, Jessica L Crisp, Xiaokun Shu et al.
doi:10.1038/nmeth.3935
A bright and photostable far-red fluorescent protein, smURFP, was developed from a cyanobacterial phycobiliprotein. smURFP uniquely binds a highly cell-permeable biliverdin derivative to obtain fluorescence brightness comparable to that of eGFP in cells.

See also: News and Views by Miyawaki

Revealing disease-associated pathways by network integration of untargeted metabolomics   pp770 - 776
Leila Pirhaji, Pamela Milani, Mathias Leidl, Timothy Curran, Julian Avila-Pacheco et al.
doi:10.1038/nmeth.3940
A network-based method and computational tool, PIUMet, reveals disease-associated molecular pathways from untargeted metabolomics data without requiring mass-spectral feature identification.

TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics   pp777 - 783
Hannes L Rost, Yansheng Liu, Giuseppe D'Agostino, Matteo Zanella, Pedro Navarro et al.
doi:10.1038/nmeth.3954
TRIC, a cross-run alignment algorithm and software tool, enables reproducible quantification of thousands of peptides across multiple targeted liquid chromatography-tandem mass spectrometry runs.

Representing genetic variation with synthetic DNA standards   pp784 - 791
Ira W Deveson, Wendy Y Chen, Ted Wong, Simon A Hardwick, Stacey B Andersen et al.
doi:10.1038/nmeth.3957
Synthetic DNA spike-ins that recapitulate genetic variation present in human genomes serve as quantitative and qualitative controls for genome sequencing and variant detection.

Spliced synthetic genes as internal controls in RNA sequencing experiments   pp792 - 798
Simon A Hardwick, Wendy Y Chen, Ted Wong, Ira W Deveson, James Blackburn et al.
doi:10.1038/nmeth.3958
Synthetic spike-in standards ('sequins'), representing spliced mRNA isoforms, provide internal controls for assessing transcript assembly and quantification within and between RNA sequencing libraries. Sequins representing fused genes can be used to determine the sensitivity limit for oncogenic fusions in cancer samples.

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