Intracellular Spatial Transcriptomic Analysis Toolkit (InSTAnT).
Anurendra KumarAlex SchraderAli BoroojenyMarisa AsadianJuyeon LeeYou SongSihai ZhaoHee-Sun HanSaurabh SinhaPublished in: Research square (2023)
Imaging-based spatial transcriptomics technologies such as MERFISH offer snapshots of cellular processes in unprecedented detail, but new analytic tools are needed to realize their full potential. We present InSTAnT, a computational toolkit for extracting molecular relationships from spatial transcriptomics data at the intra-cellular resolution. InSTAnT detects gene pairs and modules with interesting patterns of mutual co-localization within and across cells, using specialized statistical tests and graph mining. We showcase the toolkit on datasets profiling a human cancer cell line and hypothalamic preoptic region of mouse brain. We performed rigorous statistical assessment of discovered co-localization patterns, found supporting evidence from databases and RNA interactions, and identified subcellular domains associated with RNA-colocalization. We identified several novel cell type-specific gene co-localizations in the brain. Intra-cellular spatial patterns discovered by InSTAnT mirror diverse molecular relationships, including RNA interactions and shared sub-cellular localization or function, providing a rich compendium of testable hypotheses regarding molecular functions.
Keyphrases
- single cell
- single molecule
- genome wide
- copy number
- high resolution
- rna seq
- induced apoptosis
- palliative care
- squamous cell carcinoma
- gene expression
- genome wide identification
- electronic health record
- white matter
- oxidative stress
- dna methylation
- climate change
- cell death
- squamous cell
- convolutional neural network
- multiple sclerosis
- human health
- blood brain barrier
- neural network
- childhood cancer