Integrated spatial transcriptome and metabolism study reveals metabolic heterogeneity in human injured brain

Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain. With the advances of multi-omics datasets, a major challenge is to validate and integrate results into a biological understanding of spatial organization and...

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Detalles Bibliográficos
Autores principales: Zheng, Ping, Zhang, Ning, Ren, Dabin, Yu, Cong, Zhao, Bin, Zhang, Yisong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313933/
https://www.ncbi.nlm.nih.gov/pubmed/37263268
http://dx.doi.org/10.1016/j.xcrm.2023.101057

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10313933/
https://www.ncbi.nlm.nih.gov/pubmed/37263268
http://dx.doi.org/10.1016/j.xcrm.2023.101057

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