Project description:Mapping the spatial organization of proteins and cellular interactions is crucial for understanding their biological functions. Herein, we report a biocompatible, multi-functional luminescence-activated proximity labeling (LAP) strategy for profiling subcellular proteomes and cell-cell interactions in live cells and animals. Our method capitalizes on fusing the photocatalyst miniSOG to NanoLuc luciferase, whose bioluminescence activates miniSOG via a resonance energy transfer mechanism, generating reactive oxygen species in situ to mediate proximity labeling. We achieved local transcriptome profiling by combining LAP with next-generation sequencing.
Project description:Integration of multiple data modalities in a spatially informed manner remains an unmet need for exploiting spatial multi-omics data. Here, we introduce SpatialGlue, a novel graph neural network with dual-attention mechanism, to decipher spatial domains by intra-omics integration of spatial location and omics measurement followed by cross-omics integration. We demonstrate that SpatialGlue can more accurately resolve spatial domains at a higher resolution across different tissue types and technology platforms, to enable biological insights into cross-modality spatial correlations.
Project description:We have developed Halo-seq, an RNA proximity labeling method that allows the quantification of subcellular transcriptomes. We have demonstrated the efficacy of Halo-seq here by using it to quantify chromatin-proximal, nucleolar, and cytoplasmic transcriptomes. In Halo-seq, RNA molecules in close proximity to a spatially restricted protein are specifically marked and biotinylated, facilitating their separation from bulk cellular RNA and their quantification.
Project description:This proof-of-principle experiment was designed to demonstrate the feasibility of proximity labeling for RNAM-bM-^@M-^Sprotein interactions IPL-seq on 293T-Rex expressing MSA-SNRPN70 (sample) or NFH-SNRPN70 (control)
Project description:Stress granules are dynamic non-membrane bound organelles made up of untranslating messenger ribonucleoproteins (mRNPs) that form when cells integrate stressful environmental cues resulting in stalled translation initiation complexes. Although stress granules dramatically alter mRNA and protein localization, understanding these complexes has proven to be challenging through conventional imaging, purification, and crosslinking approaches. We therefore developed an RNA proximity labeling technique, APEX-Seq, which uses the ascorbate peroxidase APEX2 to probe the spatial organization of the transcriptome. We show that APEX-Seq can resolve the localization of RNAs within the cell and determine their enrichment or depletion near key RNA-binding proteins. Matching both the spatial transcriptome using APEX-seq, and the spatial proteome using APEX-mass spectrometry (APEX-MS) provide new insights into the organization of translation initiation complexes on active mRNAs, as well as revealing unanticipated complexity in stress granule contents, and provides a powerful approach to explore the spatial environment of macromolecules.