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

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 increases th...

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Detalles Bibliográficos
Autores principales: Rocque, Brittany, Guion, Kate, Singh, Pranay, Bangerth, Sarah, Pickard, Lauren, Bhattacharjee, Jashdeep, Eguizabal, Sofia, Weaver, Carly, Chopra, Shefali, Zhou, Shengmei, Kohli, Rohit, Sher, Linda, Ekser, Burcin, Emamaullee, Juliet A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503835/
https://www.ncbi.nlm.nih.gov/pubmed/37720049
http://dx.doi.org/10.21203/rs.3.rs-3307940/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503835/
https://www.ncbi.nlm.nih.gov/pubmed/37720049
http://dx.doi.org/10.21203/rs.3.rs-3307940/v1

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