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Publisher Correction |
Publisher Correction: Miniature two-photon microscopy for enlarged field-of-view, multi-plane and long-term brain imaging
- Weijian Zong
- , Runlong Wu
- , Shiyuan Chen
- , Junjie Wu
- , Hanbin Wang
- , Zhe Zhao
- , Guoqing Chen
- , Rui Tu
- , Danlei Wu
- , Yanhui Hu
- , Yangyang Xu
- , Yao Wang
- , Zhuoli Duan
- , Haitao Wu
- , Yunfeng Zhang
- , Jue Zhang
- , Aimin Wang
- , Liangyi Chen
- & Heping Cheng
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News & Views |
The promise and peril of deep learning in microscopy
- David P. Hoffman
- , Isaac Slavitt
- & Casey A. Fitzpatrick
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Article |
Evaluation and development of deep neural networks for image super-resolution in optical microscopy
This study explores the performance of deep-learning models for super-resolution imaging and introduces models that utilize frequency content information in the Fourier domain to improve SIM reconstruction under low-SNR conditions.
- Chang Qiao
- , Di Li
- , Yuting Guo
- , Chong Liu
- , Tao Jiang
- , Qionghai Dai
- & Dong Li
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Publisher Correction |
Publisher Correction: Method of the Year: spatially resolved transcriptomics
- Vivien Marx
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Publisher Correction |
Publisher Correction: DeepCell Kiosk: scaling deep learning–enabled cellular image analysis with Kubernetes
- Dylan Bannon
- , Erick Moen
- , Morgan Schwartz
- , Enrico Borba
- , Takamasa Kudo
- , Noah Greenwald
- , Vibha Vijayakumar
- , Brian Chang
- , Edward Pao
- , Erik Osterman
- , William Graf
- & David Van Valen
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Review Article |
Deciphering molecular interactions by proximity labeling
This Review describes proximity labeling methods that make use of peroxidases (APEX) or biotin ligases (TurboID, BioID), and their applications to studying protein–protein and protein–nucleic acid interactions in living systems.
- Wei Qin
- , Kelvin F. Cho
- , Peter E. Cavanagh
- & Alice Y. Ting
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Article |
Exosome detection via the ultrafast-isolation system: EXODUS
EXODUS is a high-speed isolation method for the enrichment of exosome from biological fluids with high purity and yield.
- Yuchao Chen
- , Qingfu Zhu
- , Liming Cheng
- , Yong Wang
- , Meng Li
- , Qinsi Yang
- , Liang Hu
- , Doudou Lou
- , Jiaoyuan Li
- , Xianjun Dong
- , Luke P. Lee
- & Fei Liu
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Article |
High-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing
This work presents a sequencing strategy based on unique molecular identifiers that improves long-read consensus sequence accuracy of targeted amplicons as well as shotgun whole-genome fragments.
- Søren M. Karst
- , Ryan M. Ziels
- , Rasmus H. Kirkegaard
- , Emil A. Sørensen
- , Daniel McDonald
- , Qiyun Zhu
- , Rob Knight
- & Mads Albertsen
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Method to Watch |
Glycoproteomics
Glycoproteomics is coming of age, thanks to advances in instrumentation, experimental methodologies and computational search algorithms.
- Arunima Singh
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Method to Watch |
Assembloids
Organoids generated by spatially organizing multiple cell types, called assembloids, will enable deeper insights into tissue function.
- Nina Vogt
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Method to Watch |
Diving into the TCR repertoire
Computational approaches help us explore complexities of the T cell receptor repertoire.
- Madhura Mukhopadhyay
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Method to Watch |
More complete genomes
Method development pushes the limit of completeness of genome sequences.
- Lin Tang
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Method to Watch |
Single-objective light sheet microscopy
Single-objective light sheet fluorescence microscopes are driving innovation in volumetric imaging.
- Rita Strack
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Method to Watch |
Versatile genome editing
Prime editors enable different types of small mutations to be introduced into genomes.
- Lei Tang
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Method to Watch |
Organic dyes for live imaging
Researchers are putting new spins on familiar dyes and showing their versatility for labeling living systems.
- Rita Strack
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Method to Watch |
Automated behavioral analysis
Behavioral analysis has come a long way from tedious manual annotation, and further strides in automation are expected.
- Nina Vogt
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Editorial |
Method of the Year 2020: spatially resolved transcriptomics
Spatially resolved transcriptomics methods are changing the way we understand complex tissues.
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This Month |
The standardization fallacy
“We demand rigidly defined areas of doubt and uncertainty!” —D. Adams
- Bernhard Voelkl
- , Hanno Würbel
- , Martin Krzywinski
- & Naomi Altman
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Comment |
Spatially resolved transcriptomics adds a new dimension to genomics
As single-cell omics continue to advance, the field of spatially resolved transcriptomics has emerged with a set of experimental and computational methods to map out the positions of cells and their gene expression profiles in space. Here we summarize current transcriptome-wide and sequencing-based methodologies and their applications in genomics research.
- Ludvig Larsson
- , Jonas Frisén
- & Joakim Lundeberg
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Comment |
Spatially resolved transcriptomics in neuroscience
One major challenge in neuroscience is to gain a systematic understanding of the extraordinary diversity of brain cell types and how they contribute to brain function. Spatially resolved transcriptomics holds unmatched promise in unraveling the organization of brain cell types and their relationship with connectivity, circuit dynamics, behavior and disease. Here we discuss neuroscience applications of various spatially resolved transcriptomics methods, as well as technical challenges that need to be overcome to realize their full potentials.
- Jennie L. Close
- , Brian R. Long
- & Hongkui Zeng
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Comment |
Spatially resolved single-cell genomics and transcriptomics by imaging
The recent advent of genome-scale imaging has enabled single-cell omics analysis in a spatially resolved manner in intact cells and tissues. These advances allow gene expression profiling of individual cells, and hence in situ identification and spatial mapping of cell types, in complex tissues. The high spatial resolution of these approaches further allows determination of the spatial organizations of the genome and transcriptome inside cells, both of which are key regulatory mechanisms for gene expression.
- Xiaowei Zhuang
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Article |
A ‘Build and Retrieve’ methodology to simultaneously solve cryo-EM structures of membrane proteins
The iterative Build and Retrieve (BaR) methodology facilitates the solving of cryo-EM structures of multiple membrane (and soluble) proteins simultaneously, including small and low-abundance membrane proteins.
- Chih-Chia Su
- , Meinan Lyu
- , Christopher E. Morgan
- , Jani Reddy Bolla
- , Carol V. Robinson
- & Edward W. Yu
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Technology Feature |
Method of the Year: spatially resolved transcriptomics
Nature Methods has crowned spatially resolved transcriptomics Method of the Year 2020.
- Vivien Marx
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Brief Communication |
Miniature two-photon microscopy for enlarged field-of-view, multi-plane and long-term brain imaging
A two-photon miniature microscope with enlarged field of view and axial scanning capabilities has been developed and applied in freely moving mice.
- Weijian Zong
- , Runlong Wu
- , Shiyuan Chen
- , Junjie Wu
- , Hanbin Wang
- , Zhe Zhao
- , Guoqing Chen
- , Rui Tu
- , Danlei Wu
- , Yanhui Hu
- , Yangyang Xu
- , Yao Wang
- , Zhuoli Duan
- , Haitao Wu
- , Yunfeng Zhang
- , Jue Zhang
- , Aimin Wang
- , Liangyi Chen
- & Heping Cheng
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Article |
Megabodies expand the nanobody toolkit for protein structure determination by single-particle cryo-EM
Megabodies, built by grafting nanobodies onto larger protein scaffolds, help alleviate problems of particle size and preferential orientation at the water–air interfaces during cryo-EM based structure determination experiments and are shown to be generalizable to soluble and membrane-bound proteins.
- Tomasz Uchański
- , Simonas Masiulis
- , Baptiste Fischer
- , Valentina Kalichuk
- , Uriel López-Sánchez
- , Eleftherios Zarkadas
- , Miriam Weckener
- , Andrija Sente
- , Philip Ward
- , Alexandre Wohlkönig
- , Thomas Zögg
- , Han Remaut
- , James H. Naismith
- , Hugues Nury
- , Wim Vranken
- , A. Radu Aricescu
- , Els Pardon
- & Jan Steyaert
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Article |
Mapping the functional landscape of T cell receptor repertoires by single-T cell transcriptomics
Tessa, a Bayesian model, integrates TCR sequencing data with gene expression data to analyze the effect of the TCR repertoire on T cell functionality.
- Ze Zhang
- , Danyi Xiong
- , Xinlei Wang
- , Hongyu Liu
- & Tao Wang
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Matters Arising |
Examining microbe–metabolite correlations by linear methods
- Thomas P. Quinn
- & Ionas Erb
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Brief Communication |
DeepCell Kiosk: scaling deep learning–enabled cellular image analysis with Kubernetes
DeepCell Kiosk is a user-friendly tool that enables fast and affordable deep learning–based analysis of large imaging datasets on Google cloud.
- Dylan Bannon
- , Erick Moen
- , Morgan Schwartz
- , Enrico Borba
- , Takamasa Kudo
- , Noah Greenwald
- , Vibha Vijayakumar
- , Brian Chang
- , Edward Pao
- , Erik Osterman
- , William Graf
- & David Van Valen
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Matters Arising |
Reply to: Examining microbe–metabolite correlations by linear methods
- James T. Morton
- , Daniel McDonald
- , Alexander A. Aksenov
- , Louis Felix Nothias
- , James R. Foulds
- , Robert A. Quinn
- , Michelle H. Badri
- , Tami L. Swenson
- , Marc W. Van Goethem
- , Trent R. Northen
- , Yoshiki Vazquez-Baeza
- , Mingxun Wang
- , Nicholas A. Bokulich
- , Aaron Watters
- , Se Jin Song
- , Richard Bonneau
- , Pieter C. Dorrestein
- & Rob Knight
-
Article |
Cell surface thermal proteome profiling tracks perturbations and drug targets on the plasma membrane
Cell surface thermal proteome profiling allows characterization of ligand-induced changes in protein abundances and thermal stabilities at the plasma membrane.
- Mathias Kalxdorf
- , Ina Günthner
- , Isabelle Becher
- , Nils Kurzawa
- , Sascha Knecht
- , Mikhail M. Savitski
- , H. Christian Eberl
- & Marcus Bantscheff
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Perspective |
A practical guide to cancer subclonal reconstruction from DNA sequencing
The Perspective reviews the computational methods for subclonal reconstruction and recommends best practices for analyses and quality assessments.
- Maxime Tarabichi
- , Adriana Salcedo
- , Amit G. Deshwar
- , Máire Ni Leathlobhair
- , Jeff Wintersinger
- , David C. Wedge
- , Peter Van Loo
- , Quaid D. Morris
- & Paul C. Boutros
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Comment |
Quantum computing at the frontiers of biological sciences
Computing plays a critical role in the biological sciences but faces increasing challenges of scale and complexity. Quantum computing, a computational paradigm exploiting the unique properties of quantum mechanical analogs of classical bits, seeks to address many of these challenges. We discuss the potential for quantum computing to aid in the merging of insights across different areas of biological sciences.
- Prashant S. Emani
- , Jonathan Warrell
- , Alan Anticevic
- , Stefan Bekiranov
- , Michael Gandal
- , Michael J. McConnell
- , Guillermo Sapiro
- , Alán Aspuru-Guzik
- , Justin T. Baker
- , Matteo Bastiani
- , John D. Murray
- , Stamatios N. Sotiropoulos
- , Jacob Taylor
- , Geetha Senthil
- , Thomas Lehner
- , Mark B. Gerstein
- & Aram W. Harrow
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Article |
Cellpose: a generalist algorithm for cellular segmentation
Cellpose is a generalist, deep learning-based approach for segmenting structures in a wide range of image types. Cellpose does not require parameter adjustment or model retraining and outperforms established methods on 2D and 3D datasets.
- Carsen Stringer
- , Tim Wang
- , Michalis Michaelos
- & Marius Pachitariu
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This Month |
Ling-Ling Chen
Creativity, passion, inclusion and a targeted way to study circular RNAs.
- Vivien Marx
-
Article |
Defining the carrier proteome limit for single-cell proteomics
A careful analysis of how carrier proteome levels used in the SCoPE-MS method affect the quantitative accuracy of single-cell proteomics results, yields guidelines for method users.
- Tommy K. Cheung
- , Chien-Yun Lee
- , Florian P. Bayer
- , Atticus McCoy
- , Bernhard Kuster
- & Christopher M. Rose
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Article |
Click-ExM enables expansion microscopy for all biomolecules
Click-ExM uses click-chemistry-based labeling to increase the versatility of expansion microscopy. Click-ExM enables imaging of numerous classes of biomolecules including lipids, glycans, proteins, DNA, RNA and small molecules.
- De-en Sun
- , Xinqi Fan
- , Yujie Shi
- , Hao Zhang
- , Zhimin Huang
- , Bo Cheng
- , Qi Tang
- , Wei Li
- , Yuntao Zhu
- , Jinyi Bai
- , Wei Liu
- , Yuan Li
- , Xiaoting Wang
- , Xiaoguang Lei
- & Xing Chen
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Article |
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
nnU-Net is a deep learning-based image segmentation method that automatically configures itself for diverse biological and medical image segmentation tasks. nnU-Net offers state-of-the-art performance as an out-of-the-box tool.
- Fabian Isensee
- , Paul F. Jaeger
- , Simon A. A. Kohl
- , Jens Petersen
- & Klaus H. Maier-Hein
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Article |
Screening for functional circular RNAs using the CRISPR–Cas13 system
This paper describes a CRISPR–Cas13 system to effectively target circRNAs and screen their functions in vitro and in vivo, which enables the study of relevant circRNA phenotypes in human cell proliferation and in mouse embryogenesis.
- Siqi Li
- , Xiang Li
- , Wei Xue
- , Lin Zhang
- , Liang-Zhong Yang
- , Shi-Meng Cao
- , Yun-Ni Lei
- , Chu-Xiao Liu
- , Si-Kun Guo
- , Lin Shan
- , Man Wu
- , Xiao Tao
- , Jia-Lin Zhang
- , Xiang Gao
- , Jun Zhang
- , Jia Wei
- , Jinsong Li
- , Li Yang
- & Ling-Ling Chen
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Research Highlight |
Electrical functional imaging
High-density microelectrode arrays with dual-mode capabilities can ‘image’ electrical activity in neuronal cultures or slice preparations.
- Nina Vogt
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Research Highlight |
Stamping RNA age
RNA timestamps are molecular recorders that enable one to infer the age of an RNA molecule and record transcriptional activity in a temporal manner.
- Lei Tang
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Research Highlight |
Cryo-EM goes atomic
Technological advances push the limits of single-particle cryo-EM to achieve atomic resolution.
- Rita Strack
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Editorial |
The method comes first
A new method should be thoroughly tested, applied, described — and peer-reviewed — before biological discoveries generated using the method are published.
-
Article |
Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction
Membrane proteins exhibit spatial variation in rigidity and disorder, which poses a challenge for traditional cryo-EM reconstruction algorithms. Non-uniform refinement accounts for this spatial variability, yielding improved 3D reconstruction quality even for small membrane proteins.
- Ali Punjani
- , Haowei Zhang
- & David J. Fleet
-
Article |
diaPASEF: parallel accumulation–serial fragmentation combined with data-independent acquisition
diaPASEF makes use of the correlation between the ion mobility and the m/z of peptides to trap and release precursor ions in a TIMS-TOF mass spectrometer for an almost complete sampling of the precursor ion beam with data-independent acquisition.
- Florian Meier
- , Andreas-David Brunner
- , Max Frank
- , Annie Ha
- , Isabell Bludau
- , Eugenia Voytik
- , Stephanie Kaspar-Schoenefeld
- , Markus Lubeck
- , Oliver Raether
- , Nicolai Bache
- , Ruedi Aebersold
- , Ben C. Collins
- , Hannes L. Röst
- & Matthias Mann