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Photoselective sequencing combines targeted illumination and photocaged fragment libraries to enable the spatial analysis of genomic sequence and chromatin accessibility profiles with subcellular resolution in the context of complex tissues.
Editor summary: A native-mass-spectrometry-based approach analyzes integral membrane protein–lipid complexes directly from near-physiological membrane conditions, providing information about protein oligomeric states, lipid identities, and membrane properties.
Nano-DMS-MaP combines the power of DMS mutational profiling and long-read nanopore sequencing to resolve structural differences among RNA isoforms, revealing the structural landscape of HIV-1 transcripts in cells.
The NEMO series of genetically encoded calcium indicators report calcium activity in neuronal and non-neuronal cells with high signal-to-baseline ratio, which is shown in neuronal culture, slice preparations, in vivo and in planta.
This resource describes a collection of neurons from a variety of light microscopy-based datasets, which can serve as a gold standard for testing automated tracing algorithms, as shown by comparison of the performance of 35 algorithms.
TEMPOmap combines pulse-chase metabolic labeling with multiplexed three-dimensional in situ sequencing to simultaneously profile the age and subcellular location of individual RNA molecules from thousands of genes to reveal RNA kinetic landscapes.
This paper compares different transformation approaches for analysis of single-cell RNA-sequencing data and provides recommendations for method selection.
Crowdsourcing condensate database and encyclopedia is a community-editable platform for verified biomolecular condensates and their protein constituents. It also provides an encyclopedia for the scientific terms used in condensate biology and a crowdsourcing web application.
PhAST is a technology for establishing de novo or modulating synaptic transmission in a light-dependent manner in C. elegans. By combining a calcium-dependent luciferase on pre-synapses with channelrhodopsin on post-synapses, light serves as a synthetic neurotransmitter.
Virtual-scanning light-field microscopy (VsLFM) uses a physics-based deep learning model to improve the quality and speed of LFM, reducing motion artifacts and enabling challenging demonstrations such as fast 3D voltage imaging in Drosophila.
Prioritized Single-Cell ProtEomics (pSCoPE) introduces the concept of using priority levels that define the temporal order of peptide analysis for single-cell proteomic analysis. Prioritized data acquisition aims to simultaneously optimize the consistency, sensitivity, depth and accuracy of protein quantification.
ERnet is a deep learning-based software tool for automatic segmentation and classification of structures in the endoplasmic reticulum. ERnet is compatible with many fluorescence imaging modalities and can uncover subtle phenotypic changes.
Line-scan Brillouin microscopy enables fast 3D imaging of mechanical properties with low phototoxicity, as shown for Drosophila and mouse embryos, as well as ascidians.
A suite of tools including positive-going voltage indicators, a high-speed two-photon microscope, and denoising software enables prolonged imaging of electrical activity in neurons with limited toxicity.
Two mScarlet variants with high brightness and fast maturation times have been evolved. These variants behave favorably as fusion tags and Förster resonance energy transfer acceptors.