Apoptotic Cell Exclusion and Bias-Free Single-Cell Selection Are Important Quality Control Requirements for Successful Single-Cell Sequencing Applications

被引:10
作者
Ordonez-Rueda, Diana [1 ]
Baying, Bianka [2 ]
Pavlinic, Dinko [2 ]
Alessandri, Luca [3 ]
Yeboah, Yvonne [1 ]
Landry, Jonathan J. M. [2 ]
Calogero, Raffaele [3 ]
Benes, Vladimir [2 ]
Paulsen, Malte [1 ]
机构
[1] European Mol Biol Lab, Flow Cytometry Core Facil, Heidelberg, Germany
[2] European Mol Biol Lab, Genom Core Facil, Heidelberg, Germany
[3] MBC Mol Biotechnol Ctr, Bioinformat & Genom Unit, Turin, Italy
关键词
single-cell Sequencing; cell sorting; apoptosis; in silico analysis; 10xGenomics; SmartSeq2; quality controls; FLOW-CYTOMETRY; RNA-SEQ; EXPRESSION;
D O I
10.1002/cyto.a.23898
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Single-cell sequencing experiments are a new mainstay in biology and have been advancing science especially in the biomedical field. The high pressure to integrate the technology into daily laboratory live requires solid knowledge with respect to potential limitations and precautions to be taken care of before applying it to complex research questions. In the past, we have identified two issues with quality measures neglected by the growing community involving SmartSeq and droplet or micro-well-based scRNASeq methods (1) how to ensure that only single cells are introduced without biasing on light scattering when handling complex cell mixtures and organ preparations or (2) how best to control for (pro-)apoptotic cell contaminations in single-cell sequencing approaches. Sighting of concurrent literature involving single-cell sequencing technologies revealed that these topics are generally neglected or simply approached in silico but not at the bench before generating single-cell data sets. We fear that those important quality aspects are overlooked due to reduced awareness of their importance for guaranteeing the quality of experiments. In this Cytometry rigor issue, we provide experimentally supported guidance on how to circumvent those critical shortcomings in order to promote a better use of the fantastic single-cell sequencing toolbox in biology. (c) 2019 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.
引用
收藏
页码:156 / 167
页数:12
相关论文
共 36 条
  • [11] Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexing
    Cusanovich, Darren A.
    Daza, Riza
    Adey, Andrew
    Pliner, Hannah A.
    Christiansen, Lena
    Gunderson, Kevin L.
    Steemers, Frank J.
    Trapnell, Cole
    Shendure, Jay
    [J]. SCIENCE, 2015, 348 (6237) : 910 - 914
  • [12] DePasquale EAK, 2018, DOUBLETDECON CELL ST
  • [13] Ding J, 2019, SYSTEMATIC COMP ANAL, V10, P439
  • [14] Assessing characteristics of RNA amplification methods for single cell RNA sequencing
    Dueck, Hannah R.
    Ai, Rizi
    Camarena, Adrian
    Ding, Bo
    Dominguez, Reymundo
    Evgrafov, Oleg V.
    Fan, Jian-Bing
    Fisher, Stephen A.
    Herstein, Jennifer S.
    Kim, Tae Kyung
    Kim, Jae Mun
    Lin, Ming-Yi
    Liu, Rui
    Mack, William J.
    McGroty, Sean
    Nguyen, Joseph D.
    Salathia, Neeraj
    Shallcross, Jamie
    Souaiaia, Tade
    Spaethling, Jennifer M.
    Walker, Christopher P.
    Wang, Jinhui
    Wang, Kai
    Wang, Wei
    Wildberg, Andre
    Zheng, Lina
    Chow, Robert H.
    Eberwine, James
    Knowles, James A.
    Zhang, Kun
    Kim, Junhyong
    [J]. BMC GENOMICS, 2016, 17
  • [15] Mapping the Mouse Cell Atlas by Microwell-Seq (vol 172, pg 1091, 2018)
    Han, Xiaoping
    Wang, Renying
    Zhou, Yincong
    Fei, Lijiang
    Sun, Huiyu
    Lai, Shujing
    Saadatpour, Assieh
    Zhou, Ziming
    Chen, Haide
    Ye, Fang
    Huang, Daosheng
    Xu, Yang
    Huang, Wentao
    Jiang, Mengmeng
    Jiang, Xinyi
    Mao, Jie
    Chen, Yao
    Lu, Chenyu
    Xie, Jin
    Fang, Qun
    Wang, Yibin
    Yue, Rui
    Li, Tiefeng
    Huang, He
    Orkin, Stuart H.
    Yuan, Guo-Cheng
    Chen, Ming
    Guo, Guoji
    [J]. CELL, 2018, 173 (05) : 1307 - 1307
  • [16] Large-Scale Low-Cost NGS Library Preparation Using a Robust Tn5 Purification and Tagmentation Protocol
    Hennig, Bianca P.
    Velten, Lars
    Racke, Ines
    Tu, Chelsea Szu
    Thoms, Matthias
    Rybin, Vladimir
    Besir, Hueseyin
    Remans, Kim
    Steinmetz, Lars M.
    [J]. G3-GENES GENOMES GENETICS, 2018, 8 (01): : 79 - 89
  • [17] Classification of low quality cells from single-cell RNA-seq data
    Ilicic, Tomislav
    Kim, Jong Kyoung
    Kolodziejczyk, Aleksandra A.
    Bagger, Frederik Otzen
    McCarthy, Davis James
    Marioni, John C.
    Teichmann, Sarah A.
    [J]. GENOME BIOLOGY, 2016, 17
  • [18] Islam S, 2014, NAT METHODS, V11, P163, DOI [10.1038/NMETH.2772, 10.1038/nmeth.2772]
  • [19] Early local immune defences in the respiratory tract
    Iwasaki, Akiko
    Foxman, Ellen F.
    Molony, Ryan D.
    [J]. NATURE REVIEWS IMMUNOLOGY, 2017, 17 (01) : 7 - 20
  • [20] Tutorial: guidelines for the experimental design of single-cell RNA sequencing studies
    Lafzi, Atefeh
    Moutinho, Catia
    Picelli, Simone
    Heyn, Holger
    [J]. NATURE PROTOCOLS, 2018, 13 (12) : 2742 - 2757