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An iterative self-assembling algorithm identifies the intrinsic structures in single-cell transcriptomic data and helps to discover new cell populations that are undetectable by existing methods.

An easy-to-implement antibody validation pipeline addresses the reproducibility crisis resulting from the use of non-specific antibodies.

Proximity-labeling using engineered biotin ligases TurboID and miniTurbo enables detection of cell-type-specific and low abundance protein complexes and subcellular proteomes in Arabidopsis and other plants.

Investigation of global gene expression profiles during formation of the Myxococcus xanthus specialized biofilm reveals a genetic regulatory network that coordinates cell motility, differentiation, and secondary metabolite production.

Brian 2 is a software package for neural simulations that makes it both easy and computationally efficient to define original models for computational experiment.

Nanobodies are developed that target neuronal proteins with restricted subcellular distributions and used as intrabodies to deliver cargo to specific sites within neurons and nanoscale immunolabels for improved imaging resolution.

Towards a community effort, we here present a flexible yet standardised visual stimulator design based on open hardware and software.

Highly paralleled functional evaluation of enhancer activity in single cells generates new cell-type-specific tools with broad medical and scientific applications.

Viral transduction and gene manipulation of adult human brain slices will be of great value allowing investigations including therapeutic screening, electrophysiological and structural studies of properties of human CNS circuitry.

Deep learning improves estimation of T cell receptor cohort frequencies and learns the rules of VDJ recombination, potentially making it helpful for vaccine design.