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This protocol describes a method for isolating extracellular vesicles from biofluids or cell culture medium using a chemical probe-based array, including details for constructing the array and characterization and relative quantification of extracellular vesicle proteins using immunoblotting.
Kallisto, bustools and kb-python are a set of tools for quantifying bulk, single-cell and single-nucleus RNA-seq. Together, this set of free, open-source software tools can produce gene expression quantification from raw sequencing reads.
In this protocol update, the authors improve on their previous protocol for genome engineering of mammalian cultured cells with CRISPRâCas9 to generate homozygous knock-ins of fluorescent tags into endogenous genes, to increase both efficiency and throughput.
Surface tension, interfacial tension and interfacial rheological properties can be calculated from droplet images. This article presents a standardized protocol for pendant-drop tensiometry and the oscillating drop method in two- and three-phase systems.
To celebrate the 2024 Nobel Prize in Chemistry awarded for computational protein design and protein structure prediction, we have compiled a selection of our Protocols and Tutorials showcasing the diverse applications of computational structure prediction methods.
This Perspective just published in PLoS Biology summarizes the key recommendations for life sciences researchers and research institutions for promoting reusable and open methods and protocols, as described in the European Commission PRO-MaP report.
Our authors are invited to write blog posts that describe how they conceived and developed their protocols, prior to publication at Nature Protocols. These stories are published on a community website for researchers who are interested in techniques and methods.
Our DeepLabCut Protocol can be found in this collection of research, review and opinion articles that celebrates the Nobel Prize in Physics 2024, which has been awarded to John J. Hopfield and Geoffrey E. Hinton âfor foundational discoveries and inventions that enable machine learning with artificial neural networksâ.
This protocol outlines a medium-throughput strategy based on combinatorial dye staining of pools of effector T cells to screen in parallel the reactivity of up to hundreds of T cell receptors against patient primary tissues or panels of antigens.
This protocol presents a method for the preparation and culture of mouse and human primary or pluripotent stem cell-derived basal cells, followed by their intra-airway transplantation into polidocanol-conditioned mice to achieve in vivo airway regeneration.
This protocol describes a bio-orthogonal method for dynamically altering the adhesiveness or stiffness of the synthetic extracellular matrix during three-dimensional culture in a spatiotemporal manner to induce phenotypic changes and to produce functional tissues.
This protocol repurposes an Illumina NovaSeq 6000 S4 flow cell for low-cost, submicrometer-resolution spatial transcriptome profiling of a tissue section and provides a comprehensive computational analysis pipeline.
A protocol for common variants of outcome devaluation tasks facilitates standardization of testing goal-directed behavior in rats by detailing control conditions, outcome pre-exposure, habituation to pre-feeding chambers and hunger levels in rats.
This targeted mass spectrometry protocol uses stable isotope-labeled peptides as internal standards for accurate, sensitive identification and quantification of peptides bound to MHCs, nominating potential targets for vaccines and immunotherapies.
Salt stress in plants is an adverse environmental condition that affects agricultural productivity. This protocol describes the synthesis of Aza-CyBz and applications of this NaCl probe to monitoring plant salt stress in Arabidopsis thaliana.