Dynamic human retinal pigment epithelium (RPE) and choroid architecture based on single-cell transcriptomic landscape analysis.
Dynamic human retinal pigment epithelium (RPE) and choroid architecture based on single-cell transcriptomic landscape analysis.
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DOI：
10.1016/j.gendis.2022.11.007
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发表时间：
2023-11
期刊：
影响因子：
6.8
通讯作者：
Yang, Zhenglin
中科院分区：
文献类型：
--
作者：
Huang, Lulin;Ye, Lin;Li, Runze;Zhang, Shanshan;Qu, Chao;Li, Shujin;Li, Jie;Yang, Mu;Wu, Biao;Chen, Ran;Huang, Guo;Gong, Bo;Li, Zheng;Yang, Hongjie;Yu, Man;Shi, Yi;Wang, Changguan;Chen, Wei;Yang, Zhenglin
视网膜色素上皮（retinal pigment epithelium，RPE）和脉络膜位于人类视网膜后面，在人类视觉系统中具有多种功能。RPE和脉络膜细胞及其基因表达谱的知识是理解视网膜疾病机制和治疗策略的基础。在这里，我们对来自两个区域和七个年龄段的人类RPE和脉络膜的约30万个单细胞的RNA进行了测序，揭示了人类RPE和脉络膜中的区域和年龄差异。细胞-细胞相互作用突出了RPE和不同脉络膜细胞类型之间的广泛连接网络。此外，转录因子及其靶基因在衰老过程中发生变化。在人类RPE和脉络膜中，在单细胞水平上，体细胞变异的编码在衰老过程中增加。此外，我们确定ELN作为改善衰老过程中RPE变性和脉络膜结构的候选物。人类RPE和脉络膜的分子结构的映射提高了我们对人类视觉支持系统的理解，并为视网膜疾病的干预目标提供了潜在的见解。
The retinal pigment epithelium (RPE) and choroid are located behind the human retina and have multiple functions in the human visual system. Knowledge of the RPE and choroid cells and their gene expression profiles are fundamental for understanding retinal disease mechanisms and therapeutic strategies. Here, we sequenced the RNA of about 0.3 million single cells from human RPE and choroids across two regions and seven ages, revealing regional and age differences within the human RPE and choroid. Cell–cell interactions highlight the broad connectivity networks between the RPE and different choroid cell types. Moreover, the transcription factors and their target genes change during aging. The coding of somatic variations increases during aging in the human RPE and choroid at the single-cell level. Moreover, we identified ELN as a candidate for improving RPE degeneration and choroidal structure during aging. The mapping of the molecular architecture of the human RPE and choroid improves our understanding of the human vision support system and offers potential insights into the intervention targets for retinal diseases.
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影响因子：
17.8
作者：
Nickla, Debora L.;Wallman, Josh
通讯作者：
Wallman, Josh
DOI：
10.1126/science.aao4426
发表时间：
2018-02-02
期刊：
Science (New York, N.Y.)
影响因子：
--
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Walsh CA
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影响因子：
6.8
作者：
Deng Y;Qiao L;Du M;Qu C;Wan L;Li J;Huang L
通讯作者：
Huang L
影响因子：
64.5
作者：
Cowan CS;Renner M;De Gennaro M;Gross-Scherf B;Goldblum D;Hou Y;Munz M;Rodrigues TM;Krol J;Szikra T;Cuttat R;Waldt A;Papasaikas P;Diggelmann R;Patino-Alvarez CP;Galliker P;Spirig SE;Pavlinic D;Gerber-Hollbach N;Schuierer S;Srdanovic A;Balogh M;Panero R;Kusnyerik A;Szabo A;Stadler MB;Orgül S;Picelli S;Hasler PW;Hierlemann A;Scholl HPN;Roma G;Nigsch F;Roska B
通讯作者：
Roska B
影响因子：
4.4
作者：
Tian L;Kazmierkiewicz KL;Bowman AS;Li M;Curcio CA;Stambolian DE
通讯作者：
Stambolian DE