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Cortical development is influenced by morphogen gradients. To mimic patterning events during brain development, polarized cortical assembloids are generated with the help of a localized FGF8 source.
CAST is a deep learning-based method that enables across-sample searching and matching based on spatial molecular features and reconstructing spatially resolved single-cell multi-omic profiles, as well as supports downstream differential analysis.
The Genomics 2 Proteins portal is an open-source tool for proteome-wide linking of human genetic variants to protein sequences and structures. The portal serves as a discovery tool to hypothesize the structure–function relationship between natural or synthetic variations and their molecular phenotypes.
Arkitekt is an open-source platform that facilitates the implementation of complex quantitative bioimaging workflows in real time, from acquisition to visualization and analysis.
All life sciences research is potentially subject to ethical considerations. Institutions should support collaborations with professional ethicists and philosophers to help life scientists navigate ethical crossroads.
FICTURE software addresses a critical challenge in spatial omics analysis: making high-resolution inference with only a few molecules per square micron. This tool fully realizes the potential of contemporary spatial platforms by learning latent spatial factors from the whole transcriptome while preserving the resolution of each technology at scale.
The capability of high-resolution in situ imaging by electron cryo-tomography (cryo-ET) has now been expanded to large multicellular tissues by newly developed workflows involving lift-out and serial sectioning using focused ion beam milling under cryogenic conditions.
Serialized on-grid lift-in sectioning for tomography (SOLIST) improves the throughput of the serial lift-out technique for creating lamellas, addressing a major bottleneck in the use of cryo-electron tomography for in situ structural biology.
FICTURE is a segmentation-free approach for identifying tissue architecture in spatial transcriptomics data. FICTURE is compatible with both imaging-based and sequencing-based methods and is uniquely suited for handling the largest available datasets.
SN2N, a Self-inspired Noise2Noise module, offers a versatile solution for volumetric time-lapse super-resolution imaging of live cells. SN2N uses self-supervised data generation and self-constrained learning for training with a single noisy frame.
This work introduces a k-mer-based approach to customizing a pangenome reference, making it more relevant to a new sample of interest. This method enhances the accuracy of genotyping small variants and large structural variants.