Shchepina Olesya A, Menshanov Petr N
Ermine Educational Center, Novosibirsk State University, Novosibirsk, Novosibirsk Region, 630117, Russian Federation.
Higher College of Informatics, Novosibirsk State University, Novosibirsk, Novosibirsk Region, 630058, Russian Federation.
J Mol Neurosci. 2023 Mar;73(2-3):159-170. doi: 10.1007/s12031-023-02103-4. Epub 2023 Feb 6.
Regardless of shifts in levels of individual transcripts, it remains elusive whether natural variability in cell-specific transcriptomes within the cerebral cortex is limited in aggregate. It is also unclear whether cortical cell-specific transcriptomes might change dynamically in absence of cell number changes. Total variation in neuron- and glia-specific in-aggregate transcriptomes could be identified in a model-free way via glia-neuron ratio approach, by univariate median-to-median ratios comparing integral levels of cell-specific transcripts within a tissue sample. When deleterious, regenerative or developmental events affecting cortical cell numbers were subtle, median-to-median ratios demonstrated within-group variability not exceeding <20-25% in most cases. These levels of total variability might be explained in part by limited (~5-10%) circadian and stress-induced shifts in cell-specific cortical transcriptomes. Relevant in-aggregate transcriptomic alterations were identified after shifts in cell numbers induced by well-validated deleterious events including ischemia, traumatic injury, microglia's activation/depletion or specific mutations. Cortical median-to-median ratios also follow naturally occurring changes in the numbers of excitatory, inhibitory neurons and glial cells during perinatal brain development. These findings characterize cortical cell-specific transcriptomes as subjects to circadian shifts and lifetime events, urging the importance of reporting full details on an origin of any transcriptomic sample collected in vivo.
尽管个体转录本水平存在变化,但大脑皮质内细胞特异性转录组的自然变异性在总体上是否受到限制仍不清楚。同样不清楚的是,在细胞数量没有变化的情况下,皮质细胞特异性转录组是否可能动态变化。通过神经胶质细胞与神经元比例法,以无模型方式,通过比较组织样本中细胞特异性转录本的积分水平的单变量中位数对中位数比率,可以识别神经元和神经胶质特异性总体转录组的总变异。当影响皮质细胞数量的有害、再生或发育事件很轻微时,中位数对中位数比率在大多数情况下显示组内变异性不超过<20-25%。这些总变异水平可能部分由细胞特异性皮质转录组中有限的(约5-10%)昼夜节律和应激诱导的变化来解释。在经过充分验证的有害事件(包括缺血、创伤性损伤、小胶质细胞的激活/耗竭或特定突变)诱导细胞数量发生变化后,识别出了相关的总体转录组改变。在围产期大脑发育过程中,皮质中位数对中位数比率也随着兴奋性、抑制性神经元和神经胶质细胞数量的自然变化而变化。这些发现表明皮质细胞特异性转录组会受到昼夜节律变化和终身事件的影响,这凸显了报告体内收集的任何转录组样本来源完整细节的重要性。