Approaches for single-cell RNA sequencing across tissues and cell types

被引:6
|
作者
Sant, Pooja [1 ,2 ]
Rippe, Karsten [3 ,4 ]
Mallm, Jan-Philipp [1 ,2 ]
机构
[1] German Canc Res Ctr, Single Cell Open Lab, Heidelberg, Germany
[2] Bioquant, Single cell Open Lab, Heidelberg, Germany
[3] German Canc Res Ctr, Div Chromatin Networks, Heidelberg, Germany
[4] Bioquant, Div Chromatin Networks, Heidelberg, Germany
来源
TRANSCRIPTION-AUSTIN | 2023年 / 14卷 / 3-5期
关键词
Single-cell RNA-sequencing; total RNA; small RNA; barcoding; open lab; GENE-EXPRESSION; SEQ; TRANSCRIPTOME; LANDSCAPE; REVEALS; BIOLOGY;
D O I
10.1080/21541264.2023.2200721
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
Single-cell sequencing of RNA (scRNA-seq) has advanced our understanding of cellular heterogeneity and signaling in developmental biology and disease. A large number of complementary assays have been developed to profile transcriptomes of individual cells, also in combination with other readouts, such as chromatin accessibility or antibody-based analysis of protein surface markers. As scRNA-seq technologies are advancing fast, it is challenging to establish robust workflows and up-to-date protocols that are best suited to address the large range of research questions. Here, we review scRNA-seq techniques from mRNA end-counting to total RNA in relation to their specific features and outline the necessary sample preparation steps and quality control measures. Based on our experience in dealing with the continuously growing portfolio from the perspective of a central single-cell facility, we aim to provide guidance on how workflows can be best automatized and share our experience in coping with the continuous expansion of scRNA-seq techniques.
引用
收藏
页码:127 / 145
页数:19
相关论文
共 50 条
  • [31] Evaluation of single-cell classifiers for single-cell RNA sequencing data sets
    Zhao, Xinlei
    Wu, Shuang
    Fang, Nan
    Sun, Xiao
    Fan, Jue
    BRIEFINGS IN BIOINFORMATICS, 2020, 21 (05) : 1581 - 1595
  • [32] Perspectives on single-nucleus RNA sequencing in different cell types and tissues
    Kim, Nayoung
    Kang, Huiram
    Jo, Areum
    Yoo, Seung-Ah
    Lee, Hae-Ock
    JOURNAL OF PATHOLOGY AND TRANSLATIONAL MEDICINE, 2023, 57 (01) : 52 - 59
  • [33] Single Cell RNA Sequencing Reveals Deep Homology of Dental Cell Types Across Vertebrates
    Gruenhagen, George W.
    Mubeen, Talha
    Patil, Chinar
    Stockert, Joseph
    Streelman, Jeffrey T.
    FRONTIERS IN DENTAL MEDICINE, 2022, 3
  • [34] Single-Cell RNA Sequencing and Combinatorial Approaches for Understanding Heart Biology and Disease
    Wang, Le
    Jin, Bo
    BIOLOGY-BASEL, 2024, 13 (10):
  • [35] Goals and approaches for each processing step for single-cell RNA sequencing data
    Zhang, Zilong
    Cui, Feifei
    Wang, Chunyu
    Zhao, Lingling
    Zou, Quan
    BRIEFINGS IN BIOINFORMATICS, 2021, 22 (04)
  • [36] Single-cell RNA Sequencing of Migraine Associated Genes Across Neuronal, Glial and Neurovascular Cell Types in the Central and Peripheral Nervous System
    Renthal, W.
    Vgontzas, A.
    HEADACHE, 2019, 59 : 3 - 4
  • [37] Single-cell RNA sequencing at isoform resolution
    Evan Z. Macosko
    Nature Biotechnology, 2020, 38 : 697 - 698
  • [38] Single-cell RNA sequencing in orthopedic research
    Tao Wang
    Ling Wang
    Liping Zhang
    Yubin Long
    Yingze Zhang
    Zhiyong Hou
    Bone Research, 2023, 11 (01) : 89 - 107
  • [39] Single-cell RNA sequencing in pancreatic cancer
    Jincheng Han
    Ronald A. DePinho
    Anirban Maitra
    Nature Reviews Gastroenterology & Hepatology, 2021, 18 : 451 - 452
  • [40] Revolutionizing immunology with single-cell RNA sequencing
    Chen, Haide
    Ye, Fang
    Guo, Guoji
    CELLULAR & MOLECULAR IMMUNOLOGY, 2019, 16 (03) : 242 - 249