Literature DB >> 29039415

CRISPR-UMI: single-cell lineage tracing of pooled CRISPR-Cas9 screens.

Georg Michlits1, Maria Hubmann1, Szu-Hsien Wu1, Gintautas Vainorius1, Elena Budusan1, Sergei Zhuk1, Thomas R Burkard1,2, Maria Novatchkova1,2, Martin Aichinger2, Yiqing Lu3,4, John Reece-Hoyes5, Roberto Nitsch6, Daniel Schramek3,4, Dominic Hoepfner7, Ulrich Elling1.   

Abstract

Pooled CRISPR screens are a powerful tool for assessments of gene function. However, conventional analysis is based exclusively on the relative abundance of integrated single guide RNAs (sgRNAs) between populations, which does not discern distinct phenotypes and editing outcomes generated by identical sgRNAs. Here we present CRISPR-UMI, a single-cell lineage-tracing methodology for pooled screening to account for cell heterogeneity. We generated complex sgRNA libraries with unique molecular identifiers (UMIs) that allowed for screening of clonally expanded, individually tagged cells. A proof-of-principle CRISPR-UMI negative-selection screen provided increased sensitivity and robustness compared with conventional analysis by accounting for underlying cellular and editing-outcome heterogeneity and detection of outlier clones. Furthermore, a CRISPR-UMI positive-selection screen uncovered new roadblocks in reprogramming mouse embryonic fibroblasts as pluripotent stem cells, distinguishing reprogramming frequency and speed (i.e., effect size and probability). CRISPR-UMI boosts the predictive power, sensitivity, and information content of pooled CRISPR screens.

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Year:  2017        PMID: 29039415     DOI: 10.1038/nmeth.4466

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  55 in total

1.  Topoisomerase II.etoposide interactions direct the formation of drug-induced enzyme-DNA cleavage complexes.

Authors:  D A Burden; P S Kingma; S J Froelich-Ammon; M A Bjornsti; M W Patchan; R B Thompson; N Osheroff
Journal:  J Biol Chem       Date:  1996-11-15       Impact factor: 5.157

Review 2.  High-throughput functional genomics using CRISPR-Cas9.

Authors:  Ophir Shalem; Neville E Sanjana; Feng Zhang
Journal:  Nat Rev Genet       Date:  2015-04-09       Impact factor: 53.242

Review 3.  Targeting nonhomologous end-joining through epidermal growth factor receptor inhibition: rationale and strategies for radiosensitization.

Authors:  Bipasha Mukherjee; Hak Choy; Chaitanya Nirodi; Sandeep Burma
Journal:  Semin Radiat Oncol       Date:  2010-10       Impact factor: 5.934

4.  A reprogrammable mouse strain from gene-targeted embryonic stem cells.

Authors:  Matthias Stadtfeld; Nimet Maherali; Marti Borkent; Konrad Hochedlinger
Journal:  Nat Methods       Date:  2009-12-13       Impact factor: 28.547

5.  Inhibition of PTEN tumor suppressor promotes the generation of induced pluripotent stem cells.

Authors:  Jiyuan Liao; Tomotoshi Marumoto; Saori Yamaguchi; Shinji Okano; Naoki Takeda; Chika Sakamoto; Hirotaka Kawano; Takenobu Nii; Shohei Miyamato; Yoko Nagai; Michiyo Okada; Hiroyuki Inoue; Kohichi Kawahara; Akira Suzuki; Yoshie Miura; Kenzaburo Tani
Journal:  Mol Ther       Date:  2013-04-09       Impact factor: 11.454

6.  A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response.

Authors:  Britt Adamson; Thomas M Norman; Marco Jost; Min Y Cho; James K Nuñez; Yuwen Chen; Jacqueline E Villalta; Luke A Gilbert; Max A Horlbeck; Marco Y Hein; Ryan A Pak; Andrew N Gray; Carol A Gross; Atray Dixit; Oren Parnas; Aviv Regev; Jonathan S Weissman
Journal:  Cell       Date:  2016-12-15       Impact factor: 41.582

7.  MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens.

Authors:  Wei Li; Han Xu; Tengfei Xiao; Le Cong; Michael I Love; Feng Zhang; Rafael A Irizarry; Jun S Liu; Myles Brown; X Shirley Liu
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

8.  GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases.

Authors:  Shengdar Q Tsai; Zongli Zheng; Nhu T Nguyen; Matthew Liebers; Ved V Topkar; Vishal Thapar; Nicolas Wyvekens; Cyd Khayter; A John Iafrate; Long P Le; Martin J Aryee; J Keith Joung
Journal:  Nat Biotechnol       Date:  2014-12-16       Impact factor: 54.908

9.  Pooled CRISPR screening with single-cell transcriptome readout.

Authors:  André F Rendeiro; Christian Schmidl; Paul Datlinger; Thomas Krausgruber; Peter Traxler; Johanna Klughammer; Linda C Schuster; Amelie Kuchler; Donat Alpar; Christoph Bock
Journal:  Nat Methods       Date:  2017-01-18       Impact factor: 28.547

10.  UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy.

Authors:  Tom Smith; Andreas Heger; Ian Sudbery
Journal:  Genome Res       Date:  2017-01-18       Impact factor: 9.043

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  32 in total

Review 1.  Power in Numbers: Single-Cell RNA-Seq Strategies to Dissect Complex Tissues.

Authors:  Kenneth D Birnbaum
Journal:  Annu Rev Genet       Date:  2018-09-07       Impact factor: 16.830

2.  A case of mistaken identity.

Authors:  Ruth E Hanna; John G Doench
Journal:  Nat Biotechnol       Date:  2018-09-06       Impact factor: 54.908

Review 3.  Genetic interaction networks in cancer cells.

Authors:  Barbara Mair; Jason Moffat; Charles Boone; Brenda J Andrews
Journal:  Curr Opin Genet Dev       Date:  2019-04-08       Impact factor: 5.578

4.  Multilayered VBC score predicts sgRNAs that efficiently generate loss-of-function alleles.

Authors:  Georg Michlits; Julian Jude; Matthias Hinterndorfer; Melanie de Almeida; Gintautas Vainorius; Maria Hubmann; Tobias Neumann; Alexander Schleiffer; Thomas Rainer Burkard; Michaela Fellner; Max Gijsbertsen; Anna Traunbauer; Johannes Zuber; Ulrich Elling
Journal:  Nat Methods       Date:  2020-06-08       Impact factor: 28.547

5.  Cell lineage inference from SNP and scRNA-Seq data.

Authors:  Jun Ding; Chieh Lin; Ziv Bar-Joseph
Journal:  Nucleic Acids Res       Date:  2019-06-04       Impact factor: 16.971

Review 6.  Technologies and Computational Analysis Strategies for CRISPR Applications.

Authors:  Kendell Clement; Jonathan Y Hsu; Matthew C Canver; J Keith Joung; Luca Pinello
Journal:  Mol Cell       Date:  2020-07-02       Impact factor: 17.970

Review 7.  CRISPR in cancer biology and therapy.

Authors:  Alyna Katti; Bianca J Diaz; Christina M Caragine; Neville E Sanjana; Lukas E Dow
Journal:  Nat Rev Cancer       Date:  2022-02-22       Impact factor: 60.716

Review 8.  Tutorial: design and execution of CRISPR in vivo screens.

Authors:  Christian J Braun; Andrés Carbonell Adames; Dieter Saur; Roland Rad
Journal:  Nat Protoc       Date:  2022-07-15       Impact factor: 17.021

Review 9.  Pooled genetic perturbation screens with image-based phenotypes.

Authors:  David Feldman; Luke Funk; Anna Le; Rebecca J Carlson; Michael D Leiken; FuNien Tsai; Brian Soong; Avtar Singh; Paul C Blainey
Journal:  Nat Protoc       Date:  2022-01-12       Impact factor: 17.021

10.  High-throughput functional evaluation of human cancer-associated mutations using base editors.

Authors:  Younggwang Kim; Seungho Lee; Soohyuk Cho; Jinman Park; Dongwoo Chae; Taeyoung Park; John D Minna; Hyongbum Henry Kim
Journal:  Nat Biotechnol       Date:  2022-04-11       Impact factor: 68.164

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