Single-cell RNA-sequencing and subcellular spatial transcriptomics facilitate the translation of liver microphysiological systems for regulatory application

doi: 10.1016/j.jpha.2023.06.013

• Dan Li¹ , 
• Zhou Fang^2,3 , 
• Qiang Shi⁴ , 
• Nicholas Zhang^2,5 , 
• Binsheng Gong¹ , 
• Weida Tong¹ , 
• Ahmet F. Coskun^{2,5,6 ,  ,}  , 
• Joshua Xu^{1 ,  ,} 

• 1. Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U. S. Food and Drug Administration, Jefferson, AR, 72079, USA;

• 2. Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, 30332, USA;

• 3. Machine Learning Graduate Program, Georgia Institute of Technology, Atlanta, GA, 30332, USA;

• 4. Division of Systems Biology, National Center for Toxicological Research, U. S. Food and Drug Administration, Jefferson, AR, 72079, USA;

• 5. Interdisciplinary Bioengineering Graduate Program, Georgia Institute of Technology, Atlanta, GA, 30332, USA;

• 6. Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, 30332, USA