单细胞转录组比较分析揭示了脊椎动物视网膜的推定分化驱动因素和潜在起源。

IF 4 Q1 GENETICS & HEREDITY NAR Genomics and Bioinformatics Pub Date : 2024-11-12 eCollection Date: 2024-09-01 DOI:10.1093/nargab/lqae149
Xin Zeng, Fuki Gyoja, Yang Cui, Martin Loza, Takehiro G Kusakabe, Kenta Nakai
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引用次数: 0

摘要

尽管已知脊椎动物视网膜的单细胞表达谱,但对同源细胞类之间的发育和进化表达模式的了解仍然有限。我们对来自四个物种的约 24 万个视网膜细胞进行了研究和比较,发现同源细胞类别之间存在显著的相似性,表明了固有的调控模式。为了了解这些共享模式,我们构建了其中三个物种每个发育阶段的基因调控网络。我们在三个物种中发现了由 530 个调控因子调控的 690 个调控子,以及 10 个常见的细胞类特异性调控因子和 16 个高度保留的调控子。核糖核酸速度分析确定了小鼠和斑马鱼视网膜细胞分化的保守推定驱动基因和调节因子。通过研究脊椎动物视网膜细胞与无脊椎动物肠虫光感受器相关细胞之间的保守表达模式,对视网膜细胞的起源进行了调查,这意味着光传导机制在功能上具有相似性。我们的发现有助于深入了解脊椎动物视网膜细胞进化过程中保守的调控框架和分化驱动因素。
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Comparative single-cell transcriptomic analysis reveals putative differentiation drivers and potential origin of vertebrate retina.

Despite known single-cell expression profiles in vertebrate retinas, understanding of their developmental and evolutionary expression patterns among homologous cell classes remains limited. We examined and compared approximately 240 000 retinal cells from four species and found significant similarities among homologous cell classes, indicating inherent regulatory patterns. To understand these shared patterns, we constructed gene regulatory networks for each developmental stage for three of these species. We identified 690 regulons governed by 530 regulators across three species, along with 10 common cell class-specific regulators and 16 highly preserved regulons. RNA velocity analysis pinpointed conserved putative driver genes and regulators to retinal cell differentiation in both mouse and zebrafish. Investigation of the origins of retinal cells by examining conserved expression patterns between vertebrate retinal cells and invertebrate Ciona intestinalis photoreceptor-related cells implied functional similarities in light transduction mechanisms. Our findings offer insights into the evolutionarily conserved regulatory frameworks and differentiation drivers of vertebrate retinal cells.

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来源期刊
CiteScore
8.00
自引率
2.20%
发文量
95
审稿时长
15 weeks
期刊最新文献
Refining SARS-CoV-2 intra-host variation by leveraging large-scale sequencing data. A general kernel machine regression framework using principal component analysis for jointly testing main and interaction effects: Applications to human microbiome studies. Comparative single-cell transcriptomic analysis reveals putative differentiation drivers and potential origin of vertebrate retina. Diverse intrinsic properties shape transcript stability and stabilization in Mycolicibacterium smegmatis. Faster and more accurate assessment of differential transcript expression with Gibbs sampling and edgeR v4.
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