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Nara Medical University


High-quality single-cell transcriptomics from tissue sections reveals histology-associated heterogeneity of mouse follicles

Researchers developed a sensitive method for single-cell transcriptome analysis from tissue sections, enabling precise examination of cells with histological characteristics. The study unveiled gene expression differences in granulosa cells and revealed growth retardation in oocyte gene expression profiles.

SourceNara Medical University·JournalLife Science Alliance·TypeExperimental study·DateSep 20, 2023