Literature DB >> 35134245

High-throughput methods for genome editing: the more the better.

Yong Huang1, Meiqi Shang1, Tingting Liu1, Kejian Wang1.   

Abstract

During the last decade, targeted genome-editing technologies, especially clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein (Cas) technologies, have permitted efficient targeting of genomes, thereby modifying these genomes to offer tremendous opportunities for deciphering gene function and engineering beneficial traits in many biological systems. As a powerful genome-editing tool, the CRISPR/Cas systems, combined with the development of next-generation sequencing and many other high-throughput techniques, have thus been quickly developed into a high-throughput engineering strategy in animals and plants. Therefore, here, we review recent advances in using high-throughput genome-editing technologies in animals and plants, such as the high-throughput design of targeted guide RNA (gRNA), construction of large-scale pooled gRNA, and high-throughput genome-editing libraries, high-throughput detection of editing events, and high-throughput supervision of genome-editing products. Moreover, we outline perspectives for future applications, ranging from medication using gene therapy to crop improvement using high-throughput genome-editing technologies. © American Society of Plant Biologists 2022. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35134245      PMCID: PMC8968257          DOI: 10.1093/plphys/kiac017

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  179 in total

1.  A major chromatin regulator determines resistance of tumor cells to T cell-mediated killing.

Authors:  Deng Pan; Aya Kobayashi; Peng Jiang; Lucas Ferrari de Andrade; Rong En Tay; Adrienne M Luoma; Daphne Tsoucas; Xintao Qiu; Klothilda Lim; Prakash Rao; Henry W Long; Guo-Cheng Yuan; John Doench; Myles Brown; X Shirley Liu; Kai W Wucherpfennig
Journal:  Science       Date:  2018-01-04       Impact factor: 47.728

2.  E-CRISP: fast CRISPR target site identification.

Authors:  Florian Heigwer; Grainne Kerr; Michael Boutros
Journal:  Nat Methods       Date:  2014-02       Impact factor: 28.547

3.  Applications of CRISPR technologies in research and beyond.

Authors:  Rodolphe Barrangou; Jennifer A Doudna
Journal:  Nat Biotechnol       Date:  2016-09-08       Impact factor: 54.908

Review 4.  The next generation of CRISPR-Cas technologies and applications.

Authors:  Adrian Pickar-Oliver; Charles A Gersbach
Journal:  Nat Rev Mol Cell Biol       Date:  2019-08       Impact factor: 94.444

5.  In Vivo Genome Editing Restores Dystrophin Expression and Cardiac Function in Dystrophic Mice.

Authors:  Mona El Refaey; Li Xu; Yandi Gao; Benjamin D Canan; T M Ayodele Adesanya; Sarah C Warner; Keiko Akagi; David E Symer; Peter J Mohler; Jianjie Ma; Paul M L Janssen; Renzhi Han
Journal:  Circ Res       Date:  2017-08-08       Impact factor: 17.367

6.  A CRISPR-Based Screen Identifies Genes Essential for West-Nile-Virus-Induced Cell Death.

Authors:  Hongming Ma; Ying Dang; Yonggan Wu; Gengxiang Jia; Edgar Anaya; Junli Zhang; Sojan Abraham; Jang-Gi Choi; Guojun Shi; Ling Qi; N Manjunath; Haoquan Wu
Journal:  Cell Rep       Date:  2015-07-16       Impact factor: 9.423

7.  Unbiased detection of CRISPR off-targets in vivo using DISCOVER-Seq.

Authors:  Beeke Wienert; Stacia K Wyman; Christopher D Richardson; Charles D Yeh; Pinar Akcakaya; Michelle J Porritt; Michaela Morlock; Jonathan T Vu; Katelynn R Kazane; Hannah L Watry; Luke M Judge; Bruce R Conklin; Marcello Maresca; Jacob E Corn
Journal:  Science       Date:  2019-04-18       Impact factor: 47.728

8.  In vivo genome editing and organoid transplantation models of colorectal cancer and metastasis.

Authors:  Jatin Roper; Tuomas Tammela; Naniye Malli Cetinbas; Adam Akkad; Ali Roghanian; Steffen Rickelt; Mohammad Almeqdadi; Katherine Wu; Matthias A Oberli; Francisco J Sánchez-Rivera; Yoona K Park; Xu Liang; George Eng; Martin S Taylor; Roxana Azimi; Dmitriy Kedrin; Rachit Neupane; Semir Beyaz; Ewa T Sicinska; Yvelisse Suarez; James Yoo; Lillian Chen; Lawrence Zukerberg; Pekka Katajisto; Vikram Deshpande; Adam J Bass; Philip N Tsichlis; Jacqueline Lees; Robert Langer; Richard O Hynes; Jianzhu Chen; Arjun Bhutkar; Tyler Jacks; Ömer H Yilmaz
Journal:  Nat Biotechnol       Date:  2017-05-01       Impact factor: 54.908

9.  SpCas9 activity prediction by DeepSpCas9, a deep learning-based model with high generalization performance.

Authors:  Hui Kwon Kim; Younggwang Kim; Sungtae Lee; Seonwoo Min; Jung Yoon Bae; Jae Woo Choi; Jinman Park; Dongmin Jung; Sungroh Yoon; Hyongbum Henry Kim
Journal:  Sci Adv       Date:  2019-11-06       Impact factor: 14.136

10.  CRISPRpred: A flexible and efficient tool for sgRNAs on-target activity prediction in CRISPR/Cas9 systems.

Authors:  Md Khaledur Rahman; M Sohel Rahman
Journal:  PLoS One       Date:  2017-08-02       Impact factor: 3.240

View more
  2 in total

1.  Updates on gene editing and its applications.

Authors:  Holger Puchta; Jiming Jiang; Kan Wang; Yunde Zhao
Journal:  Plant Physiol       Date:  2022-03-28       Impact factor: 8.340

Review 2.  Research Advances and Prospects of Orphan Genes in Plants.

Authors:  Mingliang Jiang; Xiaonan Li; Xiangshu Dong; Ye Zu; Zongxiang Zhan; Zhongyun Piao; Hong Lang
Journal:  Front Plant Sci       Date:  2022-07-08       Impact factor: 6.627

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.