A new protocol for single-cell RNA-seq reveals stochastic gene expression during lag phase in budding yeast

Author:

Jariani Abbas12ORCID,Vermeersch Lieselotte12ORCID,Cerulus Bram12,Perez-Samper Gemma12,Voordeckers Karin12,Van Brussel Thomas34,Thienpont Bernard345ORCID,Lambrechts Diether34,Verstrepen Kevin J12ORCID

Affiliation:

1. Laboratory for Systems Biology, VIB-KU Leuven Center for Microbiology, Leuven, Belgium

2. Laboratory of Genetics and Genomics, CMPG, Department M2S, KU Leuven, Leuven, Belgium

3. Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium

4. VIB Center for Cancer Biology, VIB, Leuven, Belgium

5. Laboratory for Functional Epigenetics, Department of Genetics, KU Leuven, Leuven, Belgium

Abstract

Current methods for single-cell RNA sequencing (scRNA-seq) of yeast cells do not match the throughput and relative simplicity of the state-of-the-art techniques that are available for mammalian cells. In this study, we report how 10x Genomics’ droplet-based single-cell RNA sequencing technology can be modified to allow analysis of yeast cells. The protocol, which is based on in-droplet spheroplasting of the cells, yields an order-of-magnitude higher throughput in comparison to existing methods. After extensive validation of the method, we demonstrate its use by studying the dynamics of the response of isogenic yeast populations to a shift in carbon source, revealing the heterogeneity and underlying molecular processes during this shift. The method we describe opens new avenues for studies focusing on yeast cells, as well as other cells with a degradable cell wall.

Funder

Fonds Wetenschappelijk Onderzoek

Vlaams Instituut voor Biotechnologie

European Research Council

AB-InBev-Baillet Latour Fund

Human Frontier Science Program

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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