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Spatial Gene-Expression Gradients Underlie Prominent Heterogeneity of CA1 Pyramidal Neurons

机译:CA1锥体神经元突出的异质性是空间基因表达梯度的基础。

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Tissue and organ function has been conventionally understood in terms of the interactions among discrete and homogeneous cell types. This approach has proven difficult in neuroscience due to the marked diversity across different neuron classes, but it may be further hampered by prominent within-class variability. Here, we considered a well-defined canonical neuronal population-hippocampal CA1 pyramidal cells (CA1 PCs)-and systematically examined the extent and spatial rules of transcriptional heterogeneity. Using next-generation RNA sequencing, we identified striking variability in CA1 PCs, such that the differences within CA1 along the dorsal-ventral axis rivaled differences across distinct pyramidal neuron classes. This variability emerged from a spectrum of continuous geneexpression gradients, producing a transcriptional profile consistent with a multifarious continuum of cells. This work reveals an unexpected amount of variability within a canonical and narrowly defined neuronal population and suggests that continuous, within-class heterogeneity may be an important feature of neural circuits.
机译:就离散和均质细胞类型之间的相互作用而言,传统上已经理解了组织和器官功能。由于不同神经元类别之间的显着多样性,这种方法已在神经科学中被证明是困难的,但是由于明显的类内变异性可能会进一步阻碍这种方法。在这里,我们考虑了一个定义明确的规范神经元群体-海马CA1锥体细胞(CA1 PCs),并系统地检查了转录异质性的程度和空间规则。使用下一代RNA测序,我们确定了CA1 PC的显着变异性,使得CA1沿背腹轴的差异可与不同锥体神经元类别的差异相媲美。这种可变性来自一系列连续的基因表达梯度,产生了与多种多样的细胞连续体一致的转录谱。这项工作揭示了规范和狭窄定义的神经元群体中意想不到的可变性,并表明连续的类内异质性可能是神经回路的重要特征。

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