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A technique to ‘lift out’ samples of interest from high-pressure-frozen specimens expands applications of cryo-electron tomography to multicellular organisms and tissue.
A nuclear magnetic resonance spectroscopy-based approach to monitor multiple molecule and reaction types at once, Systems NMR, provides in vitro insights into complex biomolecular network dynamics.
A two-photon computed tomography approach, called scanned line angular projection microscopy, enables high-speed imaging at over 1 kHz frame rates, as demonstrated for glutamate imaging in the in vivo mouse brain.
The genetically encoded GABA sensor iGABASnFR allows visualizing GABA signaling in vivo. Its application is demonstrated in mouse slices, in the awake mouse and in behaving zebrafish.
High-affinity sensors for free ubiquitin can be used to quantify intracellular ubiquitin pools, visualize ubiquitin levels by microscopy of fixed cells and enable real-time deubiquitination assays of diverse ubiquitin–protein conjugates.
CombiSEAL is a high-throughput platform for seamlessly assembling barcoded combinatorial genetic units, offering an approach for protein optimization such as screening SpCas9 variants.
A software tool, EPIC, is developed to determine protein complex membership using chromatographic fractionation–mass spectrometry data, and is applied to map the global Caenorhabditis elegans interactome.
A microfluidic approach allows spatiotemporal control of morphogen distribution in human pluripotent stem cell cultures. This approach recapitulates early developmental processes such as localized signaling and symmetry-breaking events.
The ‘jGCaMP7’ sensors are four genetically encoded calcium indicators with better sensitivity than state-of-the-art GCaMP6 and specifically improved for applications such as neuropil or wide-field imaging. The sensors are validated in vivo in both flies and mice.
Tagging live single cells and nuclei with lipid- or cholesterol-modified oligonucleotides enables massive scRNA-seq sample multiplexing, identifies doublets and recovers cells with low RNA content.
FEAST provides a computationally efficient tool to estimate the contribution of microbial sources to a target microbial community, as demonstrated for a variety of complex environmental samples.
Machine learning and deep learning models are used to predict high-quality tandem mass spectra, providing benefits over traditional analysis methods for interpreting proteomics data.
A deep learning–based tool, Prosit, predicts high-quality peptide tandem mass spectra, improving peptide-identification performance compared with that of traditional proteomics analysis methods.
Using primer-exchange reactions, SABER extends FISH probes with repetitive sequences that can accommodate multiple fluorescent imager strands, resulting in up to 450-fold signal amplification. SABER is showcased in DNA and RNA FISH experiments across a range of complex biological samples.
A bioluminescent glucose-uptake probe enables accurate, real-time, non-invasive longitudinal imaging of d-glucose absorption both in vitro and in vivo.