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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...
Autores principales: | Zheng, Ping, Zhang, Ning, Ren, Dabin, Yu, Cong, Zhao, Bin, Zhang, Yisong |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
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 |
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