Discoveries in Retina Physiology and Disease Biology Using Single-Cell RNA Sequencing

被引:0
|
作者
Zong, Yuanjuan [1 ]
Xiao, Shengyan [1 ]
Lei, Daoxi [1 ]
Li, Huili [1 ]
机构
[1] Chongqing Hosp Tradit Chinese Med, Dept Ophthalmol, Chongqing 400021, Peoples R China
来源
FRONTIERS IN BIOSCIENCE-LANDMARK | 2023年 / 28卷 / 10期
关键词
retina; retina development; retinal disease; single-cell RNA sequencing; gene; DIABETIC-RETINOPATHY; ORGANOIDS; REVEALS; PHOTORECEPTORS; PATHOGENESIS; EXPRESSION; FUTURE;
D O I
10.31083/j.fbl2810247
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The retina, a component of the central nervous system, is composed of six distinct neuronal types and various types of glial cells. A technique for single-cell transcriptome analysis called single-cell RNA sequencing (scRNA-seq) can be employed to study the complicated dynamics of several types of retinal cells. It meticulously examines how various cell types express their genes, shedding light on all biological processes. scRNA-seq is an alternative to regular RNA-seq, which cannot identify cellular heterogeneity. Understanding retinal diseases requires research on retinal cell heterogeneity. The identification of novel cell subpopulations can provide information about disease occurrence and progression as well as the specific biological functions of particular cells. We currently have a better understanding of the interactions among the brain, the retina, and its visual pathways thanks to the use of scRNA-seq to examine retinal development and disease pathogenesis. Additionally, this technology offers fresh perspectives on the sensitivity and molecular basis of cell subtypes linked to retinal diseases. Thanks to scRNA-seq technology, we now have a better understanding of the most recent developments and difficulties in retinal development and disorders. We believe that scRNA-seq is an important tool for developing cutting-edge treatments for retinal diseases. This paper presents a systematic review of the history of sRNA-seq technology development and provides an overview of the unique subtypes of retinal cells and the specific gene markers this technology identifies.
引用
收藏
页数:10
相关论文
共 50 条
  • [21] Clinical Perspectives of Single-Cell RNA Sequencing
    Kim, Nayoung
    Eum, Hye Hyeon
    Lee, Hae-Ock
    BIOMOLECULES, 2021, 11 (08)
  • [22] Single-Cell RNA Sequencing in Hematological Diseases
    Zhu, Yue
    Huang, Yaohui
    Tan, Yun
    Zhao, Weili
    Tian, Qiang
    PROTEOMICS, 2020, 20 (13)
  • [23] Computational Methods for Single-Cell RNA Sequencing
    Hie, Brian
    Peters, Joshua
    Nyquist, Sarah K.
    Shalek, Alex K.
    Berger, Bonnie
    Bryson, Bryan D.
    ANNUAL REVIEW OF BIOMEDICAL DATA SCIENCE, VOL 3, 2020, 2020, 3 : 339 - 364
  • [24] Single-cell RNA sequencing: A new opportunity for retinal research
    You, Mengling
    Rong, Rong
    Zeng, Zhou
    Li, Haibo
    Xia, Xiaobo
    Ji, Dan
    WILEY INTERDISCIPLINARY REVIEWS-RNA, 2021, 12 (05)
  • [25] Understanding the pathogenesis of infectious diseases by single-cell RNA sequencing
    Huang, Wanqiu
    Wang, Danni
    Yao, Yu-Feng
    MICROBIAL CELL, 2021, 8 (09): : 208 - 222
  • [26] Single-cell RNA sequencing for engineering and studying human islets
    Augsornworawat, Punn
    Millman, Jeffrey R.
    CURRENT OPINION IN BIOMEDICAL ENGINEERING, 2020, 16 : 27 - 33
  • [27] Single-Cell RNA Sequencing Reveals Transcriptional Signatures and Cell-Cell Communication in Diabetic Retinopathy
    Li, Muye
    Peng, Yueling
    Pang, Lin
    Wang, Lin
    Li, Junhong
    ENDOCRINE METABOLIC & IMMUNE DISORDERS-DRUG TARGETS, 2024, 24 (14) : 1651 - 1663
  • [28] Single-cell RNA sequencing of retina revealed novel transcriptional landscape in high myopia and underlying cell-type-specific mechanisms
    Yao, Yunqian
    Chen, Zhenhua
    Wu, Qingfeng
    Lu, Yi
    Zhou, Xingtao
    Zhu, Xiangjia
    MEDCOMM, 2023, 4 (05):
  • [29] Single-cell RNA sequencing analysis of T helper cell differentiation and heterogeneity
    Jarousek, Radim
    Mikulova, Antonia
    Dad'ova, Petra
    Taus, Petr
    Kurucova, Terezia
    Plevova, Karla
    Tichy, Boris
    Kubala, Lukas
    BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR CELL RESEARCH, 2022, 1869 (10):
  • [30] Single-cell RNA Sequencing in Immunology
    Cao, Yirui
    Qiu, Yue
    Tu, Guowei
    Yang, Cheng
    CURRENT GENOMICS, 2020, 21 (08) : 564 - 575