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This work introduces two polishers for refining the draft genome generated from nanopore long reads, as well as an assembler pipeline for producing telomere-to-telomere diploid genome with low error rate.
An optogenetic system enables the controlled release of soluble and transmembrane proteins for precise exploration of cellular protein function at the single-molecule level and streamlined single-molecule imaging.
Implementation of ultralong transients on an Orbitrap mass spectrometer improves mass resolution, sensitivity and accuracy of charge determination in the analysis of large macromolecular ions.
Deng et al. expand the toolbox of neurotransmitter sensors with high-sensitivity green and red genetically encoded serotonin sensors. These are suitable for in vivo applications, as demonstrated in a variety of applications in mice.
A copper(II)-functionalized Mycobacteriumsmegmatis porin A nanopore enables direct identification of all 20 proteinogenic amino acids, one unnatural amino acid and two post-translational modifications, and shows potential for peptide discrimination and sequencing.
Effortless landmark detection is an unsupervised deep learning-based approach that addresses key challenges in landmark detection and image registration for accurate performance across diverse tissue imaging datasets.
mBaoJin is a monomeric derivative of the bright and photostable green fluorescent protein StayGold. mBaoJin offers favorable photophysical properties for use in diverse protein tagging and subcellular labeling applications.
Pretrained using over 33 million single-cell RNA-sequencing profiles, scGPT is a foundation model facilitating a broad spectrum of downstream single-cell analysis tasks by transfer learning.
Multi-sheet RESOLFT combines the speed and optical sectioning of light-sheet fluorescence microscopy with reversibly photoswitchable fluorescent proteins to enable fast, volumetric super-resolution imaging in live cells.
A-SOiD is a computational platform for behavioral annotation whose training includes elements of supervised and unsupervised learning. The approach is demonstrated on mouse, macaque and human datasets.
Targeting coalescent analysis (TarCA) is a statistical method that quantifies the number of progenitor cells of a given population using single-cell phylogenetic data.
The authors describe stem cell-derived bone marrow organoids that accurately model the structural and functional properties of the human bone marrow niche.
Vibrational painting (VIBRANT) is a high-content single-cell phenotypic profiling method using mid-infrared imaging with vibrational probes for metabolic activity, which offers high accuracy with minimal batch effects to capture cellular responses to perturbation.
SATURN performs cross-species integration and analysis using both single-cell gene expression and protein representations generated by protein language models.
MEISTER is an integrative experimental and computational framework for mass spectrometry that integrates three-dimensional, organ-wide biomolecular mapping with single-cell analysis for multiscale profiling of spatial–biochemical organization.