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This tutorial provides guidelines for interpreting single-cell transcriptomic maps to identify cell types, states and other biologically relevant patterns.
This tutorial provides guidance for selecting and optimizing tissue-clearing protocols for specific samples and biological questions. In addition, instructions are provided for developing an imaging strategy and processing the resulting data.
This Perspective from the Harvard Chan Microbiome in Public Health Center describes a generalizable and scalable approach to stool and oral microbiome and metadata collection in the Micro-N (Microbiome Among Nurses) study, to show how to carry out prospective studies of the microbiome.
This tutorial explains how to evaluate and benchmark metagenome assembly, binning and profiling methods using standards and software provided by the CAMI initiative.
In this review article, the authors compare in vitro cytotoxicity assays (including chromium release, bioluminescence, impedance and flow cytometry assays) with respect to their experimental setup, appropriate uses, advantages and disadvantages and measures to overcome their limitations.
This review illustrates the power of on-resin multicomponent reaction protocols to create complexity and diversity in biomolecular skeletons such as peptides and oligonucleotides, including strategies to assemble, label and conjugate them.
Off-target effects of programmable nucleases remain a critical issue for therapeutic applications of genome editing. This review compares experimental and computational tools for off-target analysis and provides recommendations for better assessments of off-target effects.
In this Perspective, the authors discuss strategies for creating a versatile set of 30 genetically engineered mouse models (GEMMs) useful for coronavirus disease 2019 research. In addition, they provide the genetic blueprints needed for developing these GEMMs.
This tutorial describes how to design nanoparticle-based LFAs for detecting biomolecules. The authors provide guidance on how to select the appropriate lateral-flow strip components and bioreceptors as well as detection strategies.
This tutorial describes a set of essential performance tests for characterization of neural interface electrodes. The authors provide guidelines for standardized implementation and reporting on electrode performances.
Neural interfaces with implantable electrodes are used to modulate and restore function to the peripheral nervous system. Hybrid modeling described in this protocol is used to optimize each aspect of the implantable electrode design and operation.
This tutorial describes the main causes of sample-induced spherical aberration artifacts in 3D microscopy. In addition, the authors provide a practical ImageJ/Fiji-based solution to correct these aberrations during or after image acquisition.
In this review, the authors present comprehensive guidelines for performing and evaluating PRS analyses. This is accompanied by an introductory online tutorial that takes users through quality control and visualization steps.
A tutorial for multivariate classification analysis of vibrational spectroscopy data (Fourier-transform infrared, Raman and near-IR) is presented. Guidelines are provided for data preprocessing, data selection, feature extraction, classification and model validation.
This tutorial and the accompanying poster (https://doi.org/10.1038/s41596-020-0307-7) provide a guide for performing quantitative fluorescence imaging using confocal microscopy. It includes advice and troubleshooting information from sample preparation and microscope setup to data analysis and statistics.
In this tutorial, the authors provide a comprehensive description of the considerations for designing single-cell transcriptomics studies, from sample preparation and single-cell RNA sequencing methodologies through data processing and analysis.
This Perspective discusses the development of the linear amplified RNA amplification technique over the last 25 years, and future applications of this important and versatile methodology.
Here Sarah Teichmann and colleagues provide a Perspective on the exponential scaling of single-cell RNA-sequencing experiments over the last decade, commenting on the methodological developments that have underpinned the advances in this technology.