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The transcription factor (TF)-binding specificities of Pseudomonas aeruginosa allow us to predict virulence-associated TFs and their target genes, which will facilitate to find effective treatment and prevention for its associated diseases.

Proximity labeling-based proteomic strategies applied in zebrafish identify new insights into protein network changes in heart muscle cells during regeneration and implicate Rho A as a target of ErbB2 signaling during zebrafish heart regeneration.

Simultaneous multimodal measurement of chromatin accessibility, gene expression, and protein expression provides a unified view of the molecular underpinnings of immune cell state in health and disease.

'Cellular Electron Microscopy 500,000 images' (CEM500K) is a highly heterogeneous, information-rich, non-redundant, unlabeled EM dataset curated to pre-train DL algorithms for better model generalization on EM segmentation tasks.

tTARGIT AAVs offer a new approach to manipulate intersectional populations that produce selective and robust transgene expression and are easily modified.

Global gene expression control mechanisms are modeled using a large dataset consisting of absolute-quantitative proteomics, transcriptomics, and partial metabolomics of Saccharomyces cerevisiae at a wide range of growth conditions.

The first complete null mutant collection of all rab GTPase genes in a multicellular organism uncovers neuronal development and function sensitive to environmental challenges in Drosophila.

FlyBrainLab is an open-source computing platform that integrates 3D exploration and visualization of diverse Drosophila connectomic/synaptomic datasets with interactive exploration of the functional logic of modeled executable brain circuits.

A deep learning-based pipeline was developed for extracting cellular signals flexibly from moving cells in 3D time lapse images, and it outperformed previous methods under different imaging conditions.

A single protein catalyzes site-specific DNA recombination upon blue-light illumination.