Literature DB >> 33913466

Using CRISPR to understand and manipulate gene regulation.

Ersin Akinci1,2, Marisa C Hamilton1, Benyapa Khowpinitchai1, Richard I Sherwood1,3.   

Abstract

Understanding how genes are expressed in the correct cell types and at the correct level is a key goal of developmental biology research. Gene regulation has traditionally been approached largely through observational methods, whereas perturbational approaches have lacked precision. CRISPR-Cas9 has begun to transform the study of gene regulation, allowing for precise manipulation of genomic sequences, epigenetic functionalization and gene expression. CRISPR-Cas9 technology has already led to the discovery of new paradigms in gene regulation and, as new CRISPR-based tools and methods continue to be developed, promises to transform our knowledge of the gene regulatory code and our ability to manipulate cell fate. Here, we discuss the current and future application of the emerging CRISPR toolbox toward predicting gene regulatory network behavior, improving stem cell disease modeling, dissecting the epigenetic code, reprogramming cell fate and treating diseases of gene dysregulation.
© 2021. Published by The Company of Biologists Ltd.

Entities:  

Keywords:  CRISPR screening; CRISPR-Cas9; Disease modeling; Epigenetics; Gene regulation

Mesh:

Substances:

Year:  2021        PMID: 33913466      PMCID: PMC8126405          DOI: 10.1242/dev.182667

Source DB:  PubMed          Journal:  Development        ISSN: 0950-1991            Impact factor:   6.868


  181 in total

1.  Functional genetic screens for enhancer elements in the human genome using CRISPR-Cas9.

Authors:  Gozde Korkmaz; Rui Lopes; Alejandro P Ugalde; Ekaterina Nevedomskaya; Ruiqi Han; Ksenia Myacheva; Wilbert Zwart; Ran Elkon; Reuven Agami
Journal:  Nat Biotechnol       Date:  2016-01-11       Impact factor: 54.908

Review 2.  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

Review 3.  Mining the Unknown: Assigning Function to Noncoding Single Nucleotide Polymorphisms.

Authors:  Sierra S Nishizaki; Alan P Boyle
Journal:  Trends Genet       Date:  2016-12-06       Impact factor: 11.639

Review 4.  Evolution of Gene Regulation in Humans.

Authors:  Steven K Reilly; James P Noonan
Journal:  Annu Rev Genomics Hum Genet       Date:  2016-04-21       Impact factor: 8.929

5.  Multiplexable, locus-specific targeting of long RNAs with CRISPR-Display.

Authors:  David M Shechner; Ezgi Hacisuleyman; Scott T Younger; John L Rinn
Journal:  Nat Methods       Date:  2015-06-01       Impact factor: 28.547

6.  Manipulation of nuclear architecture through CRISPR-mediated chromosomal looping.

Authors:  Stefanie L Morgan; Natasha C Mariano; Abel Bermudez; Nicole L Arruda; Fangting Wu; Yunhai Luo; Gautam Shankar; Lin Jia; Huiling Chen; Ji-Fan Hu; Andrew R Hoffman; Chiao-Chain Huang; Sharon J Pitteri; Kevin C Wang
Journal:  Nat Commun       Date:  2017-07-13       Impact factor: 14.919

7.  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

8.  CRISPR RNA-guided activation of endogenous human genes.

Authors:  Morgan L Maeder; Samantha J Linder; Vincent M Cascio; Yanfang Fu; Quan H Ho; J Keith Joung
Journal:  Nat Methods       Date:  2013-07-25       Impact factor: 28.547

9.  The Human Cell Atlas.

Authors:  Aviv Regev; Sarah A Teichmann; Eric S Lander; Ido Amit; Christophe Benoist; Ewan Birney; Bernd Bodenmiller; Peter Campbell; Piero Carninci; Menna Clatworthy; Hans Clevers; Bart Deplancke; Ian Dunham; James Eberwine; Roland Eils; Wolfgang Enard; Andrew Farmer; Lars Fugger; Berthold Göttgens; Nir Hacohen; Muzlifah Haniffa; Martin Hemberg; Seung Kim; Paul Klenerman; Arnold Kriegstein; Ed Lein; Sten Linnarsson; Emma Lundberg; Joakim Lundeberg; Partha Majumder; John C Marioni; Miriam Merad; Musa Mhlanga; Martijn Nawijn; Mihai Netea; Garry Nolan; Dana Pe'er; Anthony Phillipakis; Chris P Ponting; Stephen Quake; Wolf Reik; Orit Rozenblatt-Rosen; Joshua Sanes; Rahul Satija; Ton N Schumacher; Alex Shalek; Ehud Shapiro; Padmanee Sharma; Jay W Shin; Oliver Stegle; Michael Stratton; Michael J T Stubbington; Fabian J Theis; Matthias Uhlen; Alexander van Oudenaarden; Allon Wagner; Fiona Watt; Jonathan Weissman; Barbara Wold; Ramnik Xavier; Nir Yosef
Journal:  Elife       Date:  2017-12-05       Impact factor: 8.140

10.  Ezh2-dCas9 and KRAB-dCas9 enable engineering of epigenetic memory in a context-dependent manner.

Authors:  Henriette O'Geen; Sofie L Bates; Sakereh S Carter; Karly A Nisson; Julian Halmai; Kyle D Fink; Suhn K Rhie; Peggy J Farnham; David J Segal
Journal:  Epigenetics Chromatin       Date:  2019-05-03       Impact factor: 4.954

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