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Scrna Seq

2 GoKawiil briefs on this topic

Study links serpin proteins to pancreatic cancer subtype diversity and immune escape

Researchers combined single-cell RNA sequencing from human and mouse pancreatic tumours with protein localization databases, CRISPR dependency screens and functional annotation to identify tumour-secreted genes that shape cancer cell diversity and suppress immune responses. The filtering pipeline pinpointed a group of serpin family proteins acting through myeloid cells as key drivers of this immune evasion process. The work narrows a large pool of candidate genes down to those most likely to influence how pancreatic tumours interact with surrounding immune cells.

CIGMA tool maps how gene expression variants differ across individual cell types

Researchers introduced CIGMA, a statistical method that uses a linear mixed model to separate genetic effects on gene expression into components shared across cell types and components specific to individual cell types, applied to single-cell RNA sequencing data. The model uses cell-type-level pseudobulk expression averaged from single-cell data, requiring more than 10 cells per individual per cell type, and explicitly accounts for cell-to-cell noise within each individual and cell type.