Single-cell RNA-Seq resolves cellular complexity in sensory organs from the neonatal inner ear.

Single-cell RNA-Seq resolves cellular complexity in sensory organs from the neonatal inner ear.
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DOI:
10.1038/ncomms9557
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发表时间:
2015-10-15
影响因子:
16.6
通讯作者:
Kelley MW
Kelley MW
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Burns JC;Kelly MC;Hoa M;Morell RJ;Kelley MW

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在内耳中,耳蜗和前庭感觉上皮利用大体相似的细胞类型来感知不同的刺激:声音和加速度。每个个体的感觉上皮由基于生理和解剖标准的高度异质的细胞群体组成。然而,每种细胞类型的有限数量阻碍了转录表征。在这里,我们从新生小鼠的椭圆囊和耳蜗感觉上皮细胞中产生了301个单细胞的转录组,以规避这一挑战。聚类分析表明,不同的配置文件的每一个主要的感觉上皮细胞类型,以及不太明显的亚群。胞囊内的不同步性可以重建细胞类型特异性分化的时间进程,并表明在感觉-非感觉边界细胞之间可能存在可塑性。胞囊和耳蜗的细胞类型的比较表明听觉和前庭细胞之间的分歧,尽管共同的起源。这些结果为形成独特内耳细胞类型的发育过程提供了重要见解。 由于可以分离的细胞很少,内耳的异质感觉上皮很难研究。在这里,作者通过单细胞RNA-Seq深入了解了这些细胞形成的发育过程。
In the inner ear, cochlear and vestibular sensory epithelia utilize grossly similar cell types to transduce different stimuli: sound and acceleration. Each individual sensory epithelium is composed of highly heterogeneous populations of cells based on physiological and anatomical criteria. However, limited numbers of each cell type have impeded transcriptional characterization. Here we generated transcriptomes for 301 single cells from the utricular and cochlear sensory epithelia of newborn mice to circumvent this challenge. Cluster analysis indicates distinct profiles for each of the major sensory epithelial cell types, as well as less-distinct sub-populations. Asynchrony within utricles allows reconstruction of the temporal progression of cell-type-specific differentiation and suggests possible plasticity among cells at the sensory–nonsensory boundary. Comparisons of cell types from utricles and cochleae demonstrate divergence between auditory and vestibular cells, despite a common origin. These results provide significant insights into the developmental processes that form unique inner ear cell types. Heterogeneous sensory epithelia of the inner ear are difficult to study owing to the few cells that can be isolated. Here the authors provide insight into the developmental processes underlying the formation of these cells by single-cell RNA-Seq.