Whole-brain comparison of rodent and human brains using spatial transcriptomics.
Whole-brain comparison of rodent and human brains using spatial transcriptomics.
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DOI：
10.7554/elife.79418
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发表时间：
2022-11-07
期刊：
影响因子：
7.7
通讯作者：
Lerch JP
中科院分区：
文献类型：
--
作者：
Beauchamp A;Yee Y;Darwin BC;Raznahan A;Mars RB;Lerch JP
小鼠模型在临床前神经科学研究中的使用不断增加，需要改进在小鼠和人脑之间转化研究结果的方法。此前，我们表明，可以使用根据白质纤维束成像数据构建的公共参考空间以直接定量的方式比较灵长类动物的大脑（Mars 等人，2018b）。在这里，我们扩展了公共空间方法，使用可公开访问的全脑转录组数据集来评估小鼠和人类大脑区域的相似性。我们表明，小鼠-人类同源基因捕获了神经解剖组织的广泛模式，但可以使用新颖的监督机器学习方法来提高跨物种对应的分辨率。使用这种方法，我们证明，与超模态细分相比，新皮质的感觉运动细分在物种之间表现出更大的相似性，并且小鼠同皮质区域根据其与人类皮质区域的相似性分为感觉运动簇和超模态簇。我们还发现小鼠和人类的纹状体区域是高度保守的，小鼠尾壳核与人类尾壳核和壳核表现出同等程度的相似性。
The ever-increasing use of mouse models in preclinical neuroscience research calls for an improvement in the methods used to translate findings between mouse and human brains. Previously, we showed that the brains of primates can be compared in a direct quantitative manner using a common reference space built from white matter tractography data (Mars et al., 2018b). Here, we extend the common space approach to evaluate the similarity of mouse and human brain regions using openly accessible brain-wide transcriptomic data sets. We show that mouse-human homologous genes capture broad patterns of neuroanatomical organization, but the resolution of cross-species correspondences can be improved using a novel supervised machine learning approach. Using this method, we demonstrate that sensorimotor subdivisions of the neocortex exhibit greater similarity between species, compared with supramodal subdivisions, and mouse isocortical regions separate into sensorimotor and supramodal clusters based on their similarity to human cortical regions. We also find that mouse and human striatal regions are strongly conserved, with the mouse caudoputamen exhibiting an equal degree of similarity to both the human caudate and putamen.