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A combined experimental and computational approach to transcriptomic profiling of cell ‘multiplets’ enables the reconstruction of cell–cell interactions and higher-order structural features of biological tissues.
This Perspective, from a large group of metabolomics experts, provides best practices and simplified reporting guidelines for practitioners of liquid chromatography– and gas chromatography–mass spectrometry-based metabolomics.
Co-fractionation mass spectrometry (CF-MS) has the potential to measure thousands of protein complexes in a single experiment, but the field is still in its infancy. A meta-analysis of CF-MS data yields a core CF-MS interactome and a tool allowing researchers to align new results to published data.
This review provides an overview of recent computational developments in scRNA-seq analysis and highlights packages and tools applied in executing these analyses.
Comprehensive guidelines and resources to enable accurate reporting for the most common fluorescence light microscopy modalities are reported with the goal of improving microscopy reporting, rigor and reproducibility.
This Perspective describes new single-molecule protein sequencing and identification technologies alongside innovations in mass spectrometry that will eventually enable broad sequence coverage in single-cell proteomics.
This Review surveys ultra-high-performance liquid chromatography high-resolution mass spectrometry (UHPLC–HRMS), a highly sensitive, high-throughput technique that is used for analyzing a broad range of metabolites.
A study applies polymer physics to assess the advantages and limitations of three sequencing-based approaches for determining the structure of genomes and genomic domains.
Light-field microscopes can image three-dimensional dynamics of biological samples at unprecedented speed, but the computational reconstruction necessary for image formation is artifact-prone and time-consuming. Deep learning closes this gap between imaging and reconstruction speed.
The quality of structural data obtained in cryo-EM is affected by multiple factors pertaining to sample preparation. This Review discusses available techniques and current challenges.
Two new technologies enable the profiling of single cells for RNA transcription as well as modifications to histone proteins. Each takes a similar strategy to capture both properties, but with different methods for cell indexing, and they are applied to two different areas: neuroscience and developmental biology, respectively.
CEPT, a small-molecule cocktail, improves the viability of human pluripotent stem cells, protects cells during culture and cryopreservation, and promotes in vitro differentiation and organoid formation.
With protein structure prediction recently getting a seismic boost in accuracy, hopes are also up to better predict unstructured protein regions that can adopt diverse conformations. CAID, a community effort to revive systematic benchmarking, should help.
A new approach tracks animal movements in 3D from multiple camera views using volumetric triangulation, reconciling occlusions and ambiguities present in any one camera view.
This Perspective describes advances that have enabled robust directed evolution in mammalian cells. These approaches are poised to improve the development of new generations of tools to probe or modulate mammalian biology.
Single-molecule FRET is making stepwise progress toward the realization of its full potential: becoming the reference technique to monitor protein structural dynamics in live cells.