Applications and analytical tools of cell communication based on ligand-receptor interactions at single cell level.
Applications and analytical tools of cell communication based on ligand-receptor interactions at single cell level.
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DOI：
10.1186/s13578-021-00635-z
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发表时间：
2021-07-03
影响因子：
7.5
通讯作者：
Zhang F
中科院分区：
文献类型：
--
作者：
Ma F;Zhang S;Song L;Wang B;Wei L;Zhang F
细胞通讯是多细胞生物的基本特征。配体与其同源受体的结合可激活特定的细胞信号传导途径，是细胞通讯的基本类型，与许多导致疾病的退化过程密切相关。本研究回顾了配体-受体的历史，并提出了存储配体-受体对的数据库。梳理了最近利用单细胞RNA测序在单细胞水平上配体-受体相互作用进行细胞通讯的应用和研究工具。分析工具优缺点的总结将极大地帮助研究人员在单细胞水平上分析细胞通讯。通过单细胞 RNA 测序来学习基于配体-受体相互作用的细胞通信，让位于开发新的靶标药物和个性化治疗。
Cellular communication is an essential feature of multicellular organisms. Binding of ligands to their homologous receptors, which activate specific cell signaling pathways, is a basic type of cellular communication and intimately linked to many degeneration processes leading to diseases. This study reviewed the history of ligand-receptor and presents the databases which store ligand-receptor pairs. The recently applications and research tools of ligand-receptor interactions for cell communication at single cell level by using single cell RNA sequencing have been sorted out. The summary of the advantages and disadvantages of analysis tools will greatly help researchers analyze cell communication at the single cell level. Learning cell communication based on ligand-receptor interactions by single cell RNA sequencing gives way to developing new target drugs and personalizing treatment.
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影响因子：
48
作者：
Browaeys, Robin;Saelens, Wouter;Saeys, Yvan
通讯作者：
Saeys, Yvan
影响因子：
14.9
作者：
Franceschini A;Szklarczyk D;Frankild S;Kuhn M;Simonovic M;Roth A;Lin J;Minguez P;Bork P;von Mering C;Jensen LJ
通讯作者：
Jensen LJ
影响因子：
14.9
作者：
Flicek P;Aken BL;Beal K;Ballester B;Caccamo M;Chen Y;Clarke L;Coates G;Cunningham F;Cutts T;Down T;Dyer SC;Eyre T;Fitzgerald S;Fernandez-Banet J;Gräf S;Haider S;Hammond M;Holland R;Howe KL;Howe K;Johnson N;Jenkinson A;Kähäri A;Keefe D;Kokocinski F;Kulesha E;Lawson D;Longden I;Megy K;Meidl P;Overduin B;Parker A;Pritchard B;Prlic A;Rice S;Rios D;Schuster M;Sealy I;Slater G;Smedley D;Spudich G;Trevanion S;Vilella AJ;Vogel J;White S;Wood M;Birney E;Cox T;Curwen V;Durbin R;Fernandez-Suarez XM;Herrero J;Hubbard TJ;Kasprzyk A;Proctor G;Smith J;Ureta-Vidal A;Searle S
通讯作者：
Searle S
影响因子：
14.8
作者：
Efremova, Mirjana;Vento-Tormo, Miquel;Vento-Tormo, Roser
通讯作者：
Vento-Tormo, Roser
影响因子：
16.6
作者：
Cang, Zixuan;Nie, Qing
通讯作者：
Nie, Qing