Technical optimization of spatially resolved single-cell transcriptomic datasets to study clinical liver disease

Technical optimization of spatially resolved single-cell transcriptomic datasets to study clinical liver disease

Abstract Single cell and spatially resolved ‘omic’ techniques have enabled deep characterization of clinical pathologies that remain poorly understood, providing unprecedented insights into molecular mechanisms of disease. However, transcriptomic platforms are costly, limiting sample size, which inc...

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Bibliographic Details
Main Authors: Brittany Rocque, Kate Guion, Pranay Singh, Sarah Bangerth, Lauren Pickard, Jashdeep Bhattacharjee, Sofia Eguizabal, Carly Weaver, Shefali Chopra, Shengmei Zhou, Rohit Kohli, Linda Sher, Omid Akbari, Burcin Ekser, Juliet A. Emamaullee
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Spatial transcriptomics
Single-cell spatial mapping
Biliary atresia
Cirrhosis
Liver disease
Online Access:https://doi.org/10.1038/s41598-024-53993-2

Internet

https://doi.org/10.1038/s41598-024-53993-2

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