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Two studies show that nanopores can identify the 20 proteinogenic amino acids and some of their post-translational modifications. Coupled with an exopeptidase, a bottom-up approach to protein sequencing using nanopores is on the horizon.
How accurate is the prediction of protein structure by AlphaFold? Terwilliger et al. address this question with a rigorous assessment of the accuracy of AlphaFold-predicted structures by comparing them with experimentally determined X-ray crystallographic data.
A class of protein-based molecular shape probes move us closer toward the goal of a general, genetically encoded tagging system for cryogenic electron tomography.
Multiplexed spatial immunophenotyping has advanced our understanding of tissues in the context of homeostasis and disease. Two studies now provide additional tools to overcome challenges with multiplexed imaging: one procedure amplifies the detection of low-abundance antigens by integrating SABER and IMC technologies, and the other is an X-ray-based method that enables the non-destructive multiplexed detection of antigens in tissues at scalable resolution and speed.
A new chemically induced dimerization (CID) pair exhibits fluorescence upon dimerization for the first time. Moreover, the CID pair is small and offers easily reversible dimerization that can be repeated multiple times.
Recently proposed computational approaches explore casual links between chromatin and transcriptional changes that are provided by single-cell multimodal sequencing to bridge the knowledge gap in transcriptional regulatory control.
Three groundbreaking studies have created a new generation of genetically encoded voltage indicators, empowering us to tackle a host of questions on our path toward understanding the brain.
Nano-DMS-MaP focuses in on the structures of individual RNA isoforms, enabling direct examination of the structural diversity of different RNAs inside cells.
Two new Brillouin microscopes leverage line-scanning to overcome previous limitations of the technique, enabling fast imaging, with low phototoxicity, of mechanical properties in living embryos of model organisms and tumor spheroids.
Integration of single-cell molecular profiling with cellular spatial localization has remained an elusive goal. Image-seq leverages high-resolution microscopy to spatially resolve and isolate viable bone marrow and leukemia cells for subsequent state-of-the art, single-cell transcriptomics.
Although structural variation is less explored than single-nucleotide variation, recent studies have shown it to be associated with several human diseases. Three fresh computational methods might help to elucidate this inadequately understood part of our genetic makeup.
Optimal design of spatial transcriptomic experiments allows statistical evaluation of the impact of various biological and technological features on the discovery of cell phenotypes.
