Calling Cards: A Customizable Platform to Longitudinally Record Protein‐DNA Interactions Over Time in Cells and Tissues

Author:

Yen Allen12,Mateusiak Chase13,Sarafinovska Simona12,Gachechiladze Mariam A.12,Guo Juanru13,Chen Xuhua13,Moudgil Arnav134,Cammack Alexander J.56,Hoisington‐Lopez Jessica13,Crosby MariaLynn13,Brent Michael R.137,Mitra Robi D.13,Dougherty Joseph D.128

Affiliation:

1. Department of Genetics Washington University School of Medicine Saint Louis Missouri

2. Department of Psychiatry Washington University School of Medicine Saint Louis Missouri

3. Edison Family Center for Genome Sciences and Systems Biology Washington University School of Medicine Saint Louis Missouri

4. Current address: Department of Ophthalmology Stanford University School of Medicine Stanford California

5. Department of Neurology Washington University School of Medicine Saint Louis Missouri

6. Current address: Department of Neurodegenerative Diseases University College London London United Kingdom

7. Department of Computer Science and Engineering Washington University Saint Louis Missouri

8. Intellectual and Developmental Disabilities Research Center Washington University School of Medicine Saint Louis Missouri

Abstract

AbstractCalling Cards is a platform technology to record a cumulative history of transient protein‐DNA interactions in the genome of genetically targeted cell types. The record of these interactions is recovered by next‐generation sequencing. Compared with other genomic assays, readouts of which provide a snapshot at the time of harvest, Calling Cards enables correlation of historical molecular states to eventual outcomes or phenotypes. To achieve this, Calling Cards uses the piggyBac transposase to insert self‐reporting transposon “Calling Cards” into the genome, leaving permanent marks at interaction sites. Calling Cards can be deployed in a variety of in vitro and in vivo biological systems to study gene regulatory networks involved in development, aging, and disease. Out of the box, it assesses enhancer usage but can be adapted to profile‐specific transcription factor (TF) binding with custom TF‐piggyBac fusion proteins. The Calling Cards workflow has five main stages: delivery of Calling Cards reagents, sample preparation, library preparation, sequencing, and data analysis. Here, we first present a comprehensive guide for experimental design, reagent selection, and optional customization of the platform to study additional TFs. Then, we provide an updated protocol for the five steps, using reagents that improve throughput and decrease costs, including an overview of a newly deployed computational pipeline. This protocol is designed for users with basic molecular biology experience to process samples into sequencing libraries in 2 days. Familiarity with bioinformatic analysis and command line tools is required to set up the pipeline in a high‐performance computing environment and to conduct downstream analyses. © 2023 Wiley Periodicals LLC.This article was corrected on 16 October 2023. See the end of the full text for details.Basic Protocol 1: Preparation and delivery of Calling Cards reagentsSupport Protocol 1: Next‐generation sequencing quantification of barcode distribution within self‐reporting transposon plasmid pool and adeno‐associated virus genomeBasic Protocol 2: Sample collection and RNA purificationSupport Protocol 2: Library density quantitative PCRBasic Protocol 3: Sequencing library preparationBasic Protocol 4: Library pooling and sequencingBasic Protocol 5: Data analysis

Publisher

Wiley

Subject

Medical Laboratory Technology,Health Informatics,General Pharmacology, Toxicology and Pharmaceutics,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Neuroscience

Cited by 2 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