STRAND 数据库发布：整合亚细胞分辨率空间转录组数据与分析流程
STRAND: a comprehensive subcellular-resolved spatial transcriptome RNA architecture and navigation database
STRAND 是一个面向亚细胞分辨率空间转录组数据的整理与分析平台，用于自动采集、质量控制和解读这类数据。研究团队通过 agent 辅助的整理流程，汇集了来自 6 个主要平台的 35 个亚细胞分辨率数据集，覆盖人和小鼠的 17 种组织类型，合计约 49 亿条转录本坐标。在标准化数据之上，STRAND 提供覆盖细胞分割评估、细胞类型注释、RNA 定位与共定位模式注释以及亚细胞区室推断的分析流程。两个案例显示，该平台能在培养细胞系中识别已知的 RNA 定位模式，并在心肌细胞中检出药物诱导的 RNA 重定位。STRAND 已在 https://strand.phasep.pro 开放使用。
来源：Nucleic Acids Research · doi.org
Subcellular RNA localization serves as a critical regulatory layer governing cellular polarization, local translation, and functional compartmentalization. Recent advances in high-resolution spatial transcriptomics have provided unprecedented opportunities to resolve these intracellular architectures at single-molecule resolution. However, relevant datasets are dispersed across studies and repositories, vary substantially in processing procedures and standards, severely limiting their cross-study reuse. To bridge this gap, we present STRAND (Subcellular-Resolved Spatial Transcriptome RNA Architecture and Navigation Database), a curated data resource and analysis platform for the automated harvesting, quality control, and interpretation of subcellular spatial transcriptomics data. Through an agent-assisted curation pipeline, STRAND has assembled 35 subcellular-resolution datasets from six major platforms, covering 17 tissue types in human and mouse and totalling ∼4.9 billion transcript coordinates. Building upon this standardized data resource, STRAND provides an analytical workflow spanning cell segmentation evaluation, cell-type annotation, RNA localization/colocalization pattern annotation, and subcellular compartment inference. Two case studies demonstrate that STRAND successfully identifies established RNA localization patterns in cultured cell lines and detects drug-induced RNA relocalization in cardiomyocytes. STRAND is openly available at https://strand.phasep.pro.