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Software solutions pGlyco3 and StrucGP both aim to better assign the glycan part of a glycopeptide beyond simple glycosyl composition, but they differ in their strategies, their requirement for a glycan library and their applicability to O-glycopeptides.
The MISpheroID knowledgebase records and organizes experimental parameters from thousands of cancer spheroid experiments, revealing heterogeneity and a lack of transparency in key spheroid research reporting practices.
Technological innovations in optical object recognition and high-throughput ultrasensitive mass spectrometry are enabling subcellular metabolomics and peptidomics, providing unprecedented opportunities to study small-molecule mediators of cellular function with important implications in health and disease.
Dynamic mass photometry, a method based on optical imaging of unlabeled proteins, enables direct observation and tracking of single-protein interactions on lipid membranes.
A four-dimensional single-cell atlas of transcription factor expression in Caenorhabditis elegans allows the identification of novel regulators of embryo development and the generation of molecular models of cell fate specification.
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.
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.
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.
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.
