Preparation of single-cell suspension from mouse breast cancer focusing on preservation of original cell state information and cell type composition

Author:

Pavel AbaffyORCID,Sandra LettlovaORCID,Jaroslav Truksa,Mikael Kubista,Radek SindelkaORCID

Abstract

SUMMARYSingle-cell analysis of gene expression has become a very popular method during the last decade. Unfortunately, appropriate standardization and workflow optimization remain elusive. The first step of the single cell analysis requires that the solid tissue be disassociated into a suspension of individual cells. However, during this step several technical bias can arise which can later result in the misinterpretation of the data. The goal of this study was to identify and quantify the effect of these technical factors on the quality of the single-cell suspension and the subsequent interpretation of the produced expression data. We tested the effects of various enzymes used for dissociation, several centrifugation forces, dissociation temperatures and the addition of Actinomycin D, a gene expression inhibitor. RT-qPCR was used to assess the effect from each parameter alteration, while a single-cell RNA sequencing experiment was used to confirm the optimized factors. Our concluding results provide a complete protocol for the tissue dissociation of mouse mammary tumour from 4T1 cells that preserves the original cell state and is suitable for any single-cell RNA sequencing analysis. Furthermore, our workflow may serve as a guide for the optimization of the dissociation procedure of any other tissue of interest, which would ultimately improve the reproducibility of the reported data.

Publisher

Cold Spring Harbor Laboratory

Reference58 articles.

1. 10x Genomics (2017) Removal of Dead Cells from Single Cell Suspensions for Single Cell RNA Sequencing, 29 June, [Online], Available: https://support.10xgenomics.com/permalink/LSYZWEH6OAESkEYuECWuC [29 October 2019].

2. 10x Genomics (2017) Single Cell Protocols - Cell Preparation Guide, 29 June, [Online], Available: https://support.10xgenomics.com/permalink/g4m3ltPbhYqK6eSSyUASW [29 October 2019].

3. 10x Genomics (2018) Tumor Dissociation for Single Cell RNA Sequencing, 15 February, [Online], Available: https://support.10xgenomics.com/permalink/5i68SugvNC2ISI4oaUOMYO [10 October 2019].

4. Abaffy, P. , Tomankova, S. , Naraine, R. , Kubista, M. and Sindelka, R. (in press) ‘The role of nitric oxide during embryonic wound healing.’, BMC Genomics.

5. Psychrophilic proteases dramatically reduce single cell RNA-seq artifacts: A molecular atlas of kidney development

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3