Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

CRISPR/Cas9 screening using unique molecular identifiers

View ORCID ProfileBernhard Schmierer, Sandeep K. Botla, Jilin Zhang, Mikko Turunen, Teemu Kivioja, Jussi Taipale
doi: https://doi.org/10.1101/114355
Bernhard Schmierer
1Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Stockholm, Sweden.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Bernhard Schmierer
Sandeep K. Botla
1Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Stockholm, Sweden.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jilin Zhang
1Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Stockholm, Sweden.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mikko Turunen
2Genome-Scale Biology Research Program, Faculty of Medicine, University of Helsinki, PO Box 63 FI-00014 Helsinki, Finland.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Teemu Kivioja
2Genome-Scale Biology Research Program, Faculty of Medicine, University of Helsinki, PO Box 63 FI-00014 Helsinki, Finland.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jussi Taipale
1Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 77 Stockholm, Sweden.
2Genome-Scale Biology Research Program, Faculty of Medicine, University of Helsinki, PO Box 63 FI-00014 Helsinki, Finland.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Loss of function screening by CRISPR/Cas9 gene knockout with pooled, lentiviral guide libraries is a widely applicable method for systematic identification of genes contributing to diverse cellular phenotypes. Here, random sequence labels (RSLs) are incorporated into the guide library, which act as unique molecular identifiers (UMIs) to allow massively parallel lineage tracing and lineage dropout screening. RSLs greatly improve the reproducibility of results by increasing both the precision and the accuracy of screens. They reduce the number of cells and sequencing reads needed to reach a set statistical power, or allow a more robust screen using the same number of cells.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted May 15, 2017.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
CRISPR/Cas9 screening using unique molecular identifiers
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
CRISPR/Cas9 screening using unique molecular identifiers
Bernhard Schmierer, Sandeep K. Botla, Jilin Zhang, Mikko Turunen, Teemu Kivioja, Jussi Taipale
bioRxiv 114355; doi: https://doi.org/10.1101/114355
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
CRISPR/Cas9 screening using unique molecular identifiers
Bernhard Schmierer, Sandeep K. Botla, Jilin Zhang, Mikko Turunen, Teemu Kivioja, Jussi Taipale
bioRxiv 114355; doi: https://doi.org/10.1101/114355

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Genomics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3504)
  • Biochemistry (7346)
  • Bioengineering (5321)
  • Bioinformatics (20259)
  • Biophysics (10013)
  • Cancer Biology (7742)
  • Cell Biology (11298)
  • Clinical Trials (138)
  • Developmental Biology (6437)
  • Ecology (9950)
  • Epidemiology (2065)
  • Evolutionary Biology (13318)
  • Genetics (9360)
  • Genomics (12581)
  • Immunology (7700)
  • Microbiology (19016)
  • Molecular Biology (7439)
  • Neuroscience (41029)
  • Paleontology (300)
  • Pathology (1229)
  • Pharmacology and Toxicology (2135)
  • Physiology (3157)
  • Plant Biology (6860)
  • Scientific Communication and Education (1272)
  • Synthetic Biology (1895)
  • Systems Biology (5311)
  • Zoology (1089)