3,516 results match your criteria Nature methods[Journal]


Deep learning enables cross-modality super-resolution in fluorescence microscopy.

Nat Methods 2018 Dec 17. Epub 2018 Dec 17.

Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.

We present deep-learning-enabled super-resolution across different fluorescence microscopy modalities. This data-driven approach does not require numerical modeling of the imaging process or the estimation of a point-spread-function, and is based on training a generative adversarial network (GAN) to transform diffraction-limited input images into super-resolved ones. Using this framework, we improve the resolution of wide-field images acquired with low-numerical-aperture objectives, matching the resolution that is acquired using high-numerical-aperture objectives. Read More

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http://dx.doi.org/10.1038/s41592-018-0239-0DOI Listing
December 2018

Long-read sequence and assembly of segmental duplications.

Nat Methods 2018 Dec 17. Epub 2018 Dec 17.

Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.

We have developed a computational method based on polyploid phasing of long sequence reads to resolve collapsed regions of segmental duplications within genome assemblies. Segmental Duplication Assembler (SDA; https://github.com/mvollger/SDA ) constructs graphs in which paralogous sequence variants define the nodes and long-read sequences provide attraction and repulsion edges, enabling the partition and assembly of long reads corresponding to distinct paralogs. Read More

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http://dx.doi.org/10.1038/s41592-018-0236-3DOI Listing
December 2018

Multiplexed orthogonal genome editing and transcriptional activation by Cas12a.

Nat Methods 2018 Dec 17. Epub 2018 Dec 17.

Helmholtz-University Group 'Cell Plasticity and Epigenetic Remodeling', German Cancer Research Center (DKFZ) and Institute of Pathology, University Hospital, Heidelberg, Germany.

CRISPR-Cas9-based combinatorial perturbation approaches for orthogonal knockout and gene activation have been impeded by complex vector designs and co-delivery of multiple constructs. Here, we demonstrate that catalytically active CRISPR-Cas12a fused to a transcriptional-activator domain enables flexible switching between genome editing and transcriptional activation by altering guide length. By leveraging Cas12a-mediated CRISPR-RNA array processing, we illustrate that Cas12a-VPR enables simplified multiplexed knockout and transcriptional activation in vitro and in vivo. Read More

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http://dx.doi.org/10.1038/s41592-018-0262-1DOI Listing
December 2018

Simultaneous multiplexed amplicon sequencing and transcriptome profiling in single cells.

Nat Methods 2018 Dec 17. Epub 2018 Dec 17.

Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA.

We describe droplet-assisted RNA targeting by single-cell sequencing (DART-seq), a versatile technology that enables multiplexed amplicon sequencing and transcriptome profiling in single cells. We applied DART-seq to simultaneously characterize the non-A-tailed transcripts of a segmented dsRNA virus and the transcriptome of the infected cell. In addition, we used DART-seq to simultaneously determine the natively paired, variable region heavy and light chain amplicons and the transcriptome of B lymphocytes. Read More

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http://dx.doi.org/10.1038/s41592-018-0259-9DOI Listing
December 2018

Imaging cellular ultrastructures using expansion microscopy (U-ExM).

Nat Methods 2018 Dec 17. Epub 2018 Dec 17.

Department of Cell Biology, Sciences III, University of Geneva, Geneva, Switzerland.

Determining the structure and composition of macromolecular assemblies is a major challenge in biology. Here we describe ultrastructure expansion microscopy (U-ExM), an extension of expansion microscopy that allows the visualization of preserved ultrastructures by optical microscopy. This method allows for near-native expansion of diverse structures in vitro and in cells; when combined with super-resolution microscopy, it unveiled details of ultrastructural organization, such as centriolar chirality, that could otherwise be observed only by electron microscopy. Read More

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http://dx.doi.org/10.1038/s41592-018-0238-1DOI Listing
December 2018

U-Net: deep learning for cell counting, detection, and morphometry.

Nat Methods 2018 Dec 17. Epub 2018 Dec 17.

Department of Computer Science, Albert-Ludwigs-University, Freiburg, Germany.

U-Net is a generic deep-learning solution for frequently occurring quantification tasks such as cell detection and shape measurements in biomedical image data. We present an ImageJ plugin that enables non-machine-learning experts to analyze their data with U-Net on either a local computer or a remote server/cloud service. The plugin comes with pretrained models for single-cell segmentation and allows for U-Net to be adapted to new tasks on the basis of a few annotated samples. Read More

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http://dx.doi.org/10.1038/s41592-018-0261-2DOI Listing
December 2018

A pH-correctable, DNA-based fluorescent reporter for organellar calcium.

Nat Methods 2018 Dec 10. Epub 2018 Dec 10.

Department of Chemistry, The University of Chicago, Chicago, IL, USA.

It is extremely challenging to quantitate lumenal Ca in acidic Ca stores of the cell because all Ca indicators are pH sensitive, and Ca transport is coupled to pH in acidic organelles. We have developed a fluorescent DNA-based reporter, CalipHluor, that is targetable to specific organelles. By ratiometrically reporting lumenal pH and Ca simultaneously, CalipHluor functions as a pH-correctable Ca reporter. Read More

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http://dx.doi.org/10.1038/s41592-018-0232-7DOI Listing
December 2018

Yamuna Krishnan.

Authors:
Vivien Marx

Nat Methods 2018 Dec 10. Epub 2018 Dec 10.

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0263-0DOI Listing
December 2018

fMRIPrep: a robust preprocessing pipeline for functional MRI.

Nat Methods 2018 Dec 10. Epub 2018 Dec 10.

Department of Psychology, Stanford University, Stanford, CA, USA.

Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to clean and standardize the data before statistical analysis. Generally, researchers create ad hoc preprocessing workflows for each dataset, building upon a large inventory of available tools. The complexity of these workflows has snowballed with rapid advances in acquisition and processing. Read More

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http://dx.doi.org/10.1038/s41592-018-0235-4DOI Listing
December 2018

Specialty probes give super-res imaging that special blink.

Authors:
Vivien Marx

Nat Methods 2018 Dec;15(12):1005-1008

Technology editor for Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0231-8DOI Listing
December 2018

Changes at Nature Methods.

Authors:

Nat Methods 2018 Dec;15(12):985

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http://dx.doi.org/10.1038/s41592-018-0257-yDOI Listing
December 2018

An explant technique for high-resolution imaging and manipulation of mycobacterial granulomas.

Nat Methods 2018 Dec 30;15(12):1098-1107. Epub 2018 Nov 30.

Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA.

A central and critical structure in tuberculosis, the mycobacterial granuloma consists of highly organized immune cells, including macrophages that drive granuloma formation through a characteristic epithelioid transformation. Difficulties in imaging within intact animals and caveats associated with in vitro assembly models have severely limited the study and experimental manipulation of mature granulomas. Here we describe a new ex vivo culture technique, wherein mature, fully organized zebrafish granulomas are microdissected and maintained in three-dimensional (3D) culture. Read More

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http://www.nature.com/articles/s41592-018-0215-8
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http://dx.doi.org/10.1038/s41592-018-0215-8DOI Listing
December 2018
1 Read

Brain-wide circuit interrogation at the cellular level guided by online analysis of neuronal function.

Nat Methods 2018 Dec 30;15(12):1117-1125. Epub 2018 Nov 30.

Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA.

Whole-brain imaging allows for comprehensive functional mapping of distributed neural pathways, but neuronal perturbation experiments are usually limited to targeting predefined regions or genetically identifiable cell types. To complement whole-brain measures of activity with brain-wide manipulations for testing causal interactions, we introduce a system that uses measured activity patterns to guide optical perturbations of any subset of neurons in the same fictively behaving larval zebrafish. First, a light-sheet microscope collects whole-brain data that are rapidly analyzed by a distributed computing system to generate functional brain maps. Read More

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http://dx.doi.org/10.1038/s41592-018-0221-xDOI Listing
December 2018
1 Read

Bayesian deep learning for single-cell analysis.

Nat Methods 2018 Dec;15(12):1009-1010

Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

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http://dx.doi.org/10.1038/s41592-018-0230-9DOI Listing
December 2018

Deep generative modeling for single-cell transcriptomics.

Nat Methods 2018 Dec 30;15(12):1053-1058. Epub 2018 Nov 30.

Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.

Single-cell transcriptome measurements can reveal unexplored biological diversity, but they suffer from technical noise and bias that must be modeled to account for the resulting uncertainty in downstream analyses. Here we introduce single-cell variational inference (scVI), a ready-to-use scalable framework for the probabilistic representation and analysis of gene expression in single cells ( https://github.com/YosefLab/scVI ). Read More

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http://dx.doi.org/10.1038/s41592-018-0229-2DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289068PMC
December 2018

Challenges for cryo-EM.

Authors:

Nat Methods 2018 Dec;15(12):985

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http://dx.doi.org/10.1038/s41592-018-0256-zDOI Listing
December 2018

Expanding the optogenetics toolkit.

Authors:
Kate Gao

Nat Methods 2018 Dec;15(12):1003

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0244-3DOI Listing
December 2018

Partial ordered polypeptides.

Authors:
Lei Tang

Nat Methods 2018 Dec;15(12):1002

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0249-yDOI Listing
December 2018

The UK Biobank.

Authors:
Nicole Rusk

Nat Methods 2018 Dec;15(12):1001

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0245-2DOI Listing
December 2018

Cell portrait of a mouse.

Authors:
Tal Nawy

Nat Methods 2018 Dec;15(12):1001

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0247-0DOI Listing
December 2018

Enhanced antibody validation.

Authors:
Allison Doerr

Nat Methods 2018 Dec;15(12):1001

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0248-zDOI Listing
December 2018

Split proteins by design.

Authors:
Rita Strack

Nat Methods 2018 Dec;15(12):1001

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0246-1DOI Listing
December 2018

A methionine modification method.

Authors:
Allison Doerr

Nat Methods 2018 Dec;15(12):1002

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0252-3DOI Listing
December 2018

Protein-based cell barcodes.

Authors:
Tal Nawy

Nat Methods 2018 Dec;15(12):1002

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0250-5DOI Listing
December 2018

A nonhuman primate imaging resource.

Authors:
Rita Strack

Nat Methods 2018 Dec;15(12):1002

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0251-4DOI Listing
December 2018

CRISPR-SURF: discovering regulatory elements by deconvolution of CRISPR tiling screen data.

Nat Methods 2018 Dec;15(12):992-993

Molecular Pathology Unit, Center for Cancer Research, Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA.

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http://dx.doi.org/10.1038/s41592-018-0225-6DOI Listing
December 2018

Reply to 'Impact of optical aberrations on axial position determination by photometry'.

Nat Methods 2018 Dec;15(12):990-992

Department of Physics, University of Strathclyde, Glasgow, UK.

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http://dx.doi.org/10.1038/s41592-018-0228-3DOI Listing
December 2018

Comparing phenotypic variation between inbred and outbred mice.

Nat Methods 2018 Dec;15(12):994-996

Alan Edwards Centre for Research on Pain, McGill University, Montreal, Quebec, Canada.

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http://dx.doi.org/10.1038/s41592-018-0224-7DOI Listing
December 2018

Efficient scarless genome editing in human pluripotent stem cells.

Nat Methods 2018 Dec 30;15(12):1045-1047. Epub 2018 Nov 30.

Department of Pediatrics, Stanford University, Stanford, CA, USA.

Scarless genome editing in human pluripotent stem cells (hPSCs) represents a goal for both precise research applications and clinical translation of hPSC-derived therapies. Here we established a versatile and efficient method that combines CRISPR-Cas9-mediated homologous recombination with positive-negative selection of edited clones to generate scarless genetic changes in hPSCs. Read More

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http://www.nature.com/articles/s41592-018-0212-y
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http://dx.doi.org/10.1038/s41592-018-0212-yDOI Listing
December 2018
2 Reads

A particle-filter framework for robust cryo-EM 3D reconstruction.

Nat Methods 2018 Dec 30;15(12):1083-1089. Epub 2018 Nov 30.

MOE Key Laboratory of Protein Science, School of Life Sciences, Tsinghua University, Beijing, China.

Single-particle electron cryomicroscopy (cryo-EM) involves estimating a set of parameters for each particle image and reconstructing a 3D density map; robust algorithms with accurate parameter estimation are essential for high resolution and automation. We introduce a particle-filter algorithm for cryo-EM, which provides high-dimensional parameter estimation through a posterior probability density function (PDF) of the parameters given in the model and the experimental image. The framework uses a set of random support points to represent such a PDF and assigns weighting coefficients not only among the parameters of each particle but also among different particles. Read More

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http://dx.doi.org/10.1038/s41592-018-0223-8DOI Listing
December 2018

Identification of differentially methylated cell types in epigenome-wide association studies.

Nat Methods 2018 Dec 30;15(12):1059-1066. Epub 2018 Nov 30.

CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.

An outstanding challenge of epigenome-wide association studies (EWASs) performed in complex tissues is the identification of the specific cell type(s) responsible for the observed differential DNA methylation. Here we present a statistical algorithm called CellDMC ( https://github.com/sjczheng/EpiDISH ), which can identify differentially methylated positions and the specific cell type(s) driving the differential methylation. Read More

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http://dx.doi.org/10.1038/s41592-018-0213-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6277016PMC
December 2018
1 Read

Next-generation peptide sequencing.

Authors:
Lei Tang

Nat Methods 2018 Dec;15(12):997

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0240-7DOI Listing
December 2018

Recording transcriptional activity.

Authors:
Nicole Rusk

Nat Methods 2018 Dec;15(12):999

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0242-5DOI Listing
December 2018

Sequence meets space.

Authors:
Tal Nawy

Nat Methods 2018 Dec;15(12):1000

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0243-4DOI Listing
December 2018

Mapping mouse development.

Authors:
Rita Strack

Nat Methods 2018 Dec;15(12):998

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0241-6DOI Listing
December 2018

Impact of optical aberrations on axial position determination by photometry.

Nat Methods 2018 Dec;15(12):989-990

Department of Imaging Physics, Delft University of Technology, Delft, The Netherlands.

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http://dx.doi.org/10.1038/s41592-018-0227-4DOI Listing
December 2018

Olga Troyanskaya.

Authors:
Vivien Marx

Nat Methods 2018 Dec;15(12):987

Nature Methods, .

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http://dx.doi.org/10.1038/s41592-018-0226-5DOI Listing
December 2018

Author Correction: Rapid and efficient induction of functional astrocytes from human pluripotent stem cells.

Nat Methods 2018 Dec 4. Epub 2018 Dec 4.

Stem Cells, Aging and Neurodegeneration Group, Faculty of Medicine, Lund University, Lund, Sweden.

In the version of Supplementary Fig. 1 originally published with this paper, some images in panel e were accidental duplicates of images in panel b. This error has been corrected in the online integrated supplementary information and in the Supplementary Information PDF. Read More

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http://dx.doi.org/10.1038/s41592-018-0264-zDOI Listing
December 2018

Content-aware image restoration: pushing the limits of fluorescence microscopy.

Nat Methods 2018 Dec 26;15(12):1090-1097. Epub 2018 Nov 26.

Center for Systems Biology Dresden, Dresden, Germany.

Fluorescence microscopy is a key driver of discoveries in the life sciences, with observable phenomena being limited by the optics of the microscope, the chemistry of the fluorophores, and the maximum photon exposure tolerated by the sample. These limits necessitate trade-offs between imaging speed, spatial resolution, light exposure, and imaging depth. In this work we show how content-aware image restoration based on deep learning extends the range of biological phenomena observable by microscopy. Read More

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http://dx.doi.org/10.1038/s41592-018-0216-7DOI Listing
December 2018
1 Read

Interpretation of an individual functional genomics experiment guided by massive public data.

Nat Methods 2018 Dec 26;15(12):1049-1052. Epub 2018 Nov 26.

Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.

A key unmet challenge in interpreting omics experiments is inferring biological meaning in the context of public functional genomics data. We developed a computational framework, Your Evidence Tailored Integration (YETI; http://yeti.princeton. Read More

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http://dx.doi.org/10.1038/s41592-018-0218-5DOI Listing
December 2018

Proximity-CLIP provides a snapshot of protein-occupied RNA elements in subcellular compartments.

Nat Methods 2018 Dec 26;15(12):1074-1082. Epub 2018 Nov 26.

Laboratory of Muscle Stem Cells and Gene Regulation, National Institute of Arthritis and Musculoskeletal and Skin Disease, Bethesda, MD, USA.

Methods for the systematic study of subcellular RNA localization are limited, and their development has lagged behind that of proteomic tools. We combined APEX2-mediated proximity biotinylation of proteins with photoactivatable ribonucleoside-enhanced crosslinking to simultaneously profile the proteome and the transcriptome bound by RNA-binding proteins in any given subcellular compartment. Our approach is fractionation independent and allows study of the localization of RNA processing intermediates, as well as the identification of regulatory RNA cis-acting elements occupied by proteins, in a cellular-compartment-specific manner. Read More

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http://dx.doi.org/10.1038/s41592-018-0220-yDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289640PMC
December 2018

Found In Translation: a machine learning model for mouse-to-human inference.

Nat Methods 2018 Dec 26;15(12):1067-1073. Epub 2018 Nov 26.

Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.

Cross-species differences form barriers to translational research that ultimately hinder the success of clinical trials, yet knowledge of species differences has yet to be systematically incorporated in the interpretation of animal models. Here we present Found In Translation (FIT; http://www.mouse2man. Read More

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http://dx.doi.org/10.1038/s41592-018-0214-9DOI Listing
December 2018

Faster, sharper, and deeper: structured illumination microscopy for biological imaging.

Nat Methods 2018 Dec 26;15(12):1011-1019. Epub 2018 Nov 26.

Section on High Resolution Optical Imaging, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, USA.

Structured illumination microscopy (SIM) allows rapid, super-resolution (SR) imaging in live specimens. We review recent technical advances in SR-SIM, with emphasis on imaging speed, resolution, and depth. Since its introduction decades ago, the technique has grown to offer myriad implementations, each with its own strengths and weaknesses. Read More

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http://dx.doi.org/10.1038/s41592-018-0211-zDOI Listing
December 2018

Acoustic tweezers for the life sciences.

Nat Methods 2018 Dec 26;15(12):1021-1028. Epub 2018 Nov 26.

Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA.

Acoustic tweezers are a versatile set of tools that use sound waves to manipulate bioparticles ranging from nanometer-sized extracellular vesicles to millimeter-sized multicellular organisms. Over the past several decades, the capabilities of acoustic tweezers have expanded from simplistic particle trapping to precise rotation and translation of cells and organisms in three dimensions. Recent advances have led to reconfigured acoustic tweezers that are capable of separating, enriching, and patterning bioparticles in complex solutions. Read More

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http://dx.doi.org/10.1038/s41592-018-0222-9DOI Listing
December 2018

Author Correction: Comprehensive comparative analysis of 5'-end RNA-sequencing methods.

Nat Methods 2018 Dec;15(12):1126

Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.

The original version of this paper contained an incorrect primer sequence. In the Methods subsection "Rampage libraries," the text for modification 3 stated that the reverse primer used for library indexing was 5'-CAAGCAGAAGACGGCATACGAGATXXXXXXXXGTGACTGGAGT-3'. The correct sequence of the oligonucleotide used is 5'-CAAGCAGAAGACGGCATACGAGATXXXXXXXXGTGACTGGAGTTCAGACGTGTGCTCTTCCGATCT-3'. Read More

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http://dx.doi.org/10.1038/s41592-018-0237-2DOI Listing
December 2018

Cell-type-specific and projection-specific brain-wide reconstruction of single neurons.

Nat Methods 2018 Dec 19;15(12):1033-1036. Epub 2018 Nov 19.

National Institute of Biological Sciences, Beijing, China.

We developed a dual-adeno-associated-virus expression system that enables strong and sparse labeling of individual neurons with cell-type and projection specificity. We demonstrated its utility for whole-brain reconstruction of midbrain dopamine neurons and striatum-projecting cortical neurons. We further extended the labeling method for rapid reconstruction in cleared thick brain sections and simultaneous dual-color labeling. Read More

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http://dx.doi.org/10.1038/s41592-018-0184-yDOI Listing
December 2018
3 Reads

Quantifying and comparing bacterial growth dynamics in multiple metagenomic samples.

Authors:
Yuan Gao Hongzhe Li

Nat Methods 2018 Dec 12;15(12):1041-1044. Epub 2018 Nov 12.

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

The accurate quantification of microbial growth dynamics for species without complete genome sequences is biologically important, but computationally challenging in metagenomics. Here we present dynamic estimator of microbial communities (DEMIC; https://sourceforge.net/projects/demic/ ), a multi-sample algorithm based on contigs and coverage values, to infer the relative distances of contigs from the replication origin and to accurately compare bacterial growth rates between samples. Read More

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http://www.nature.com/articles/s41592-018-0182-0
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http://dx.doi.org/10.1038/s41592-018-0182-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289653PMC
December 2018
8 Reads

Closed-loop all-optical interrogation of neural circuits in vivo.

Nat Methods 2018 Dec 12;15(12):1037-1040. Epub 2018 Nov 12.

Wolfson Institute for Biomedical Research, University College London, London, UK.

Understanding the causal relationship between neural activity and behavior requires the ability to perform rapid and targeted interventions in ongoing activity. Here we describe a closed-loop all-optical strategy for dynamically controlling neuronal activity patterns in awake mice. We rapidly tailored and delivered two-photon optogenetic stimulation based on online readout of activity using simultaneous two-photon imaging, thus enabling the manipulation of neural circuit activity 'on the fly' during behavior. Read More

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http://www.nature.com/articles/s41592-018-0183-z
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http://dx.doi.org/10.1038/s41592-018-0183-zDOI Listing
December 2018
3 Reads

Fast, in vivo voltage imaging using a red fluorescent indicator.

Nat Methods 2018 Dec 12;15(12):1108-1116. Epub 2018 Nov 12.

The John B. Pierce Laboratory, New Haven, CT, USA.

Genetically encoded voltage indicators (GEVIs) are emerging optical tools for acquiring brain-wide cell-type-specific functional data at unparalleled temporal resolution. To broaden the application of GEVIs in high-speed multispectral imaging, we used a high-throughput strategy to develop voltage-activated red neuronal activity monitor (VARNAM), a fusion of the fast Acetabularia opsin and the bright red fluorophore mRuby3. Imageable under the modest illumination intensities required by bright green probes (<50 mW mm), VARNAM is readily usable in vivo. Read More

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http://dx.doi.org/10.1038/s41592-018-0188-7DOI Listing
December 2018
1 Read

Publisher Correction: Transparent Danionella translucida as a genetically tractable vertebrate brain model.

Nat Methods 2018 Dec;15(12):1126

Einstein Center for Neurosciences, NeuroCure Cluster of Excellence, Charité-Universitätsmedizin Berlin, Berlin, Germany.

The version of this paper originally published contained errors in reference citations: in the first paragraph of the Results section, the text "This extent of optical clarity probably results from the absence of skull above the brain. In our specimens, Nissl-stained coronal sections through the head showed that the skull surrounds the brain only laterally and ventrally" should have read "This extent of optical clarity probably results from the absence of skull above the brain. In our specimens, Nissl-stained coronal sections through the head showed that the skull surrounds the brain only laterally and ventrally. Read More

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http://www.nature.com/articles/s41592-018-0217-6
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http://dx.doi.org/10.1038/s41592-018-0217-6DOI Listing
December 2018
3 Reads