Cell type transcriptional identities are maintained in cultured ex vivo human brain tissue

离体 细胞生物学 细胞 电池类型 脑组织 人脑 生物 体内 神经科学 分子生物学 遗传学
作者
John P. McGinnis,Joshua Ortiz‐Guzman,Sai Mallannagari,Maria Guevara,Benjamin D. W. Belfort,Suyang Bao,Snigdha Srivastava,Maria Morkas,Emily Ji,Kalman Katlowitz,Angela P. Addison,Evelyne K. Tantry,Melissa M. Blessing,Carrie Mohila,Nisha Gadgil,Samuel G. McClugage,David F. Bauer,William E. Whitehead,Guillermo Aldave,Omar Tanweer
出处
期刊: [Cold Spring Harbor Laboratory]
标识
DOI:10.1101/2024.12.19.629223
摘要

Abstract It is becoming more broadly accepted that human-based models are needed to better understand the complexities of the human nervous system and its diseases. The recently developed human brain organotypic culture model is one highly promising model that requires the involvement of neurosurgeons and neurosurgical patients. Studies have investigated the electrophysiological properties of neurons in such ex vivo human tissues, but the maintenance of other cell types within explanted brain remains largely unknown. Here, using single-nucleus RNA sequencing, we systematically evaluate the transcriptional identities of the various cell types found in six patient samples after fourteen days in culture (83,501 nuclei from day 0 samples and 45,738 nuclei from day 14 samples). We used two pediatric temporal lobectomy samples, an adult frontal cortex sample, two IDH wild-type glioblastoma samples, and one medulloblastoma sample. We found remarkably high correlations of day 14 transcriptional identities to day 0 tissue, especially in tumor cells (r = 0.90 to 0.93), though microglia (r = 0.86), oligodendrocytes (r = 0.80), pericytes (r = 0.77), endothelial cells (r = 0.78), and fibroblasts (r = 0.76) showed strong preservation of their transcriptional profiles as well. Astrocytes and excitatory neurons showed more moderate preservation (r = 0.66 and 0.47, respectively). Because the main difficulty with organotypic brain cultures is the acquisition of human tissue, which is readily available to neurosurgeons, this model is easily accessible to neurosurgeon-scientists and neurosurgeons affiliated with research laboratories. Broad uptake of this more representative model should prompt advances in our understanding of many uniquely human diseases, lead to more reliable clinical trial performance, and ultimately yield better therapies for our patients.
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