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 |  |  |  |  |  |  |  |  | TABLE OF CONTENTS 
 |  | January 2017 Volume 14, Issue 1 |  |  |  |  |  |  |  In This Issue 
  Special Feature 
  Editorial 
  This Month 
  Correspondence 
  Research Highlights 
  News Feature 
  Commentary 
  Review 
  Methods to Watch 
  Technology Feature 
  Brief Communications 
  Articles |  |  |  |  |  |  |  |  |  |  | Advertisement
 |  |  |  |  			 |    | Nature Index Collaborations 2016 
 Institutions and countries responsible for some of the highest quality of science research tend to form the strongest alliances and partnerships. Nature Index 2016 Collaborations takes closer look at the most fruitful collaborations; such as the bond between China and the United States.
 
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 |  |  |  |  |  |  |  |  | Advertisement |  |  |  |  			                     |                                                                | CRISPR Calendar 2017 
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 |  |  |  |  |  |  |  |  | In This Issue |  Top |  |  |  |  |  | In This Issue   
 |  |  |  | Special Feature |  Top |  |  |  |  |  |  |                                               |                                                                                                                                                                                        |  |  |  |                                                                       | Epitranscriptome analysis is our choice for Method of the Year 2016. A News Feature looks at the history of the field, from the first discoveries of RNA modifications in the 1960s to recent transcriptome-wide methods. A Review describes the strengths and weaknesses of these methods, and a Commentary discusses the functional importance of a particular modification in stem cells. Our choice of eight methods to watch highlights areas we think will be influential in 2017 and beyond. |  | 
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    | Editorial |  Top | 
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 | Special Feature: Method of the Year 2016Method of the Year 2016: Epitranscriptome analysis   p1
 doi:10.1038/nmeth.4142
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 | This Month |  Top | 
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 | Points of significance: P values and the search for significance   pp3 - 4Naomi Altman and  Martin Krzywinski
 doi:10.1038/nmeth.4120
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 | Correspondence |  Top | 
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 | Quantitative predictions of protein interactions with long noncoding RNAs   pp5 - 6Davide Cirillo,  Mario Blanco,  Alexandros Armaos,  Andreas Buness,  Philip Avner et al.
 doi:10.1038/nmeth.4100
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 | Research Highlights |  Top | 
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 | News Feature |  Top | 
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 | Special Feature: Method of the Year 2016Epitranscriptomics: mixed messages   pp15 - 17
 Michael Eisenstein
 doi:10.1038/nmeth.4125
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 | Commentary |  Top | 
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 | Special Feature: Method of the Year 2016Reversible RNA modifications in meiosis and pluripotency   pp18 - 22
 Arne Klungland,  John Arne Dahl,  Gareth Greggains,  Peter Fedorcsak and  Adam Filipczyk
 doi:10.1038/nmeth.4111
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 | Review |  Top | 
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 | Special Feature: Method of the Year 2016Epitranscriptome sequencing technologies: decoding RNA modifications   pp23 - 31
 Xiaoyu Li,  Xushen Xiong and  Chengqi Yi
 doi:10.1038/nmeth.4110
 This Review describes the latest methods for profiling common epitranscriptomic marks, their scale, resolution and ability to quantify. It also discusses remaining challenges.
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 | Methods to Watch |  Top | 
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 | Special Feature: Method of the Year 2016Global metabolomics   p32
 Allison Doerr
 doi:10.1038/nmeth.4112
 The ability to measure the metabolome on a global scale lags behind other omics techniques.
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 | Special Feature: Method of the Year 2016Expansion microscopy   p32
 Rita Strack
 doi:10.1038/nmeth.4113
 The changing face of super-resolution imaging
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 | Special Feature: Method of the Year 2016CRISPR targets RNA   p33
 Nicole Rusk
 doi:10.1038/nmeth.4114
 Having revolutionized DNA editing, CRISPR turns to RNA.
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 | Special Feature: Method of the Year 2016How single cells do it   p33
 Tal Nawy
 doi:10.1038/nmeth.4119
 Single-cell sequencing is poised to elucidate how cells contribute to tissue function.
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 | Special Feature: Method of the Year 2016Cryo-electron tomography   p34
 Allison Doerr
 doi:10.1038/nmeth.4115
 Cryo-electron tomography may facilitate in situ structural biology on a proteomic scale.
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 | Special Feature: Method of the Year 2016Faster brain imaging   p34
 Nina Vogt
 doi:10.1038/nmeth.4118
 Higher volumetric imaging rates shed light on the dynamics in neuronal networks.
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 | Special Feature: Method of the Year 2016Capturing microbial interactions   p35
 Tal Nawy
 doi:10.1038/nmeth.4117
 New approaches will expose microbial dependencies and environmental interactions.
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 | Special Feature: Method of the Year 2016Organoid culture   p35
 Natalie de Souza
 doi:10.1038/nmeth.4122
 Ex vivo organoid culture could revolutionize biology, but variability must be understood.
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 | Technology Feature |  Top | 
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 | Microbiology: the return of culture   pp37 - 40Vivien Marx
 doi:10.1038/nmeth.4107
 Sequencing technology drives microbiology and gives researchers new reasons to draw on classic techniques.
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 | Brief Communications |  Top | 
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 | Photometry unlocks 3D information from 2D localization microscopy data   pp41 - 44Christian Franke,  Markus Sauer and  Sebastian van de Linde
 doi:10.1038/nmeth.4073
 Three-dimensional localization microscopy can yield important biological insights. A photometric approach is described that allows users to gain 3D information from existing 2D images and to improve axial resolution obtained with existing biplane setups.
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 | A statistical test for conserved RNA structure shows lack of evidence for structure in lncRNAs   pp45 - 48Elena Rivas,  Jody Clements and  Sean R Eddy
 doi:10.1038/nmeth.4066
 A new method, R-scape, tests whether observed sequence covariation supports a conserved secondary structure in RNA. The program finds no evidence for previously proposed conserved secondary structures in several lncRNAs.
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 | Covalently circularized nanodiscs for studying membrane proteins and viral entry   pp49 - 52Mahmoud L Nasr,  Diego Baptista,  Mike Strauss,  Zhen-Yu J Sun,  Simina Grigoriu et al.
 doi:10.1038/nmeth.4079
 Membrane proteins can be stabilized in a native-like setting using lipid-bilayer-based nanodiscs encircled by a membrane scaffold protein. Covalently circularized nanodiscs now offer enhanced stability and control over nanodisc diameter size, improving the quality of structural data.
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 | mScarlet: a bright monomeric red fluorescent protein for cellular imaging   pp53 - 56Daphne S Bindels,  Lindsay Haarbosch,  Laura van Weeren,  Marten Postma,  Katrin E Wiese et al.
 doi:10.1038/nmeth.4074
 An extremely bright, truly monomeric RFP, mScarlet, is described that outperforms existing RFPs in diverse labeling applications, especially in FRET with ratiometric imaging.
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 | FDR-controlled metabolite annotation for high-resolution imaging mass spectrometry   pp57 - 60Andrew Palmer,  Prasad Phapale,  Ilya Chernyavsky,  Regis Lavigne,  Dominik Fay et al.
 doi:10.1038/nmeth.4072
 The authors present a computational framework for false-discovery-rate-controlled metabolite annotation from high-resolution imaging mass spectrometry data.
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 | A scored human protein-protein interaction network to catalyze genomic interpretation   pp61 - 64Taibo Li,  Rasmus Wernersson,  Rasmus B Hansen,  Heiko Horn,  Johnathan Mercer et al.
 doi:10.1038/nmeth.4083
 InWeb_InBioMap (InWeb_IM for short) is a scored, integrated human protein-protein interaction network resource aggregated from public, experimentally determined protein-protein interactions. The resource enables functional interpretation of large-scale genomics data.
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 | novoBreak: local assembly for breakpoint detection in cancer genomes   pp65 - 67Zechen Chong,  Jue Ruan,  Min Gao,  Wanding Zhou,  Tenghui Chen et al.
 doi:10.1038/nmeth.4084
 The novoBreak software provides sensitive, accurate, and comprehensive detection of structural variation in somatic next-generation sequencing data.
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 | TACO produces robust multisample transcriptome assemblies from RNA-seq   pp68 - 70Yashar S Niknafs,  Balaji Pandian,  Hariharan K Iyer,  Arul M Chinnaiyan and  Matthew K Iyer
 doi:10.1038/nmeth.4078
 TACO generates a consensus transcriptome with improved accuracy from multisample RNA-seq data.
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 | CHARMM36m: an improved force field for folded and intrinsically disordered proteins   pp71 - 73Jing Huang,  Sarah Rauscher,  Grzegorz Nawrocki,  Ting Ran,  Michael Feig et al.
 doi:10.1038/nmeth.4067
 An all-atom protein force field, CHARMM36m, offers improved accuracy for simulating intrinsically disordered peptides and proteins.
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 | DMS-MaPseq for genome-wide or targeted RNA structure probing in vivo   pp75 - 82Meghan Zubradt,  Paromita Gupta,  Sitara Persad,  Alan M Lambowitz,  Jonathan S Weissman et al.
 doi:10.1038/nmeth.4057
 DMS-MaPseq enables genome-wide and target-specific RNA secondary structure probing of even rare or heterogeneously structured RNAs in vivo and was used to study structure involved in translation regulation as well as nascent transcripts.
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 | Robust statistical modeling improves sensitivity of high-throughput RNA structure probing experiments   pp83 - 89Alina Selega,  Christel Sirocchi,  Ira Iosub,  Sander Granneman and  Guido Sanguinetti
 doi:10.1038/nmeth.4068
 BUM-HMM is a statistically robust modeling pipeline for interpreting high-throughput RNA structure probing data, including that from transcriptome-wide experiments.
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 | Atmospheric pressure MALDI mass spectrometry imaging of tissues and cells at 1.4-μm lateral resolution   pp90 - 96Mario Kompauer,  Sven Heiles and  Bernhard Spengler
 doi:10.1038/nmeth.4071
 An instrumental setup for atmospheric pressure MALDI-based mass spectrometry imaging with improved lateral resolution enables subcellular-level details to be resolved.
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