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A new mutagenesis platform enables the fast, cost-efficient and automatable production of defined multi-site sequence variants for a wide range of applications. Demonstrations of this method included the generation of SARS-CoV-2 spike gene variants, DNA fragments for large-scale genome engineering, and adeno-associated virus 2 (AAV2) cap genes with improved packaging capacity.
iGluSnFR variants with improved signal-to-noise ratios and targeting to postsynaptic sites have been developed, enabling the analysis of glutamatergic neurotransmission in vivo as illustrated in the mouse visual and somatosensory cortex.
Photoselective sequencing is a new method for genomic and epigenomic profiling within specific regions of a biological specimen that are chosen using light microscopy. This combination of spatial and sequencing information preserves the connections between genomic and environmental properties and deepens our understanding of structure–function relationships in cells and tissues.
Photoselective sequencing combines targeted illumination and photocaged fragment libraries to enable the spatial analysis of genomic sequence and chromatin accessibility profiles with subcellular resolution in the context of complex tissues.
Editor summary: A native-mass-spectrometry-based approach analyzes integral membrane protein–lipid complexes directly from near-physiological membrane conditions, providing information about protein oligomeric states, lipid identities, and membrane properties.
Nano-DMS-MaP combines the power of DMS mutational profiling and long-read nanopore sequencing to resolve structural differences among RNA isoforms, revealing the structural landscape of HIV-1 transcripts in cells.
The NEMO series of genetically encoded calcium indicators report calcium activity in neuronal and non-neuronal cells with high signal-to-baseline ratio, which is shown in neuronal culture, slice preparations, in vivo and in planta.
Volume electron microscopy (vEM) is a group of techniques that reveal the 3D ultrastructure of cells and tissues through continuous depths of at least 1 micrometer. A burgeoning grassroots community effort is fast building the profile and revealing the impact of vEM technology in the life sciences and clinical research.
This resource describes a collection of neurons from a variety of light microscopy-based datasets, which can serve as a gold standard for testing automated tracing algorithms, as shown by comparison of the performance of 35 algorithms.
We highlight the BUDDY software, which was developed to accurately determine the molecular formulae of unknown chemicals in mass spectrometry data. BUDDY is a bottom-up approach that shows superior annotation performance on reference spectra and experimental datasets. Incorporation of global peak annotation could enable BUDDY to refine formula annotations and reveal feature interrelationships.
