Literature DB >> 35059031

Towards organism-level systems biology by next-generation genetics and whole-organ cell profiling.

Yoichi Minami1, Yufei Yuan1, Hiroki R Ueda1,2.   

Abstract

The system-level identification and analysis of molecular and cellular networks in mammals can be accelerated by "next-generation" genetics, which is defined as genetics that can achieve desired genetic makeup in a single generation without any animal crossing. We recently established a highly efficient procedure for producing knock-out (KO) mice using the "Triple-CRISPR" method, which targets a single gene by triple gRNAs in the CRISPR/Cas9 system. This procedure achieved an almost perfect KO efficiency (96-100%). We also established a highly efficient procedure, the "ES-mouse" method, for producing knock-in (KI) mice within a single generation. In this method, ES cells were treated with three inhibitors to keep their potency and then injected into 8-cell-stage embryos. These procedures dramatically shortened the time required to produce KO or KI mice from years down to about 3 months. The produced KO and KI mice can also be systematically profiled at a single-cell resolution by the "whole-organ cell profiling," which was realized by tissue-clearing methods, such as CUBIC, and an advanced light-sheet microscopy. The review describes the establishment and application of these technologies above in analyzing the three states (NREM sleep, REM sleep, and awake) of mammalian brains. It also discusses the role of calcium and muscarinic receptors in these states as well as the current challenges and future opportunities in the next-generation mammalian genetics and whole-organ cell profiling for organism-level systems biology. © International Union for Pure and Applied Biophysics (IUPAB) and Springer-Verlag GmbH Germany, part of Springer Nature 2021.

Entities:  

Keywords:  ES mouse; Next-generation genetics; Systems biology; Tissue clearing; Triple CRISPR; Whole-organ cell profiling

Year:  2021        PMID: 35059031      PMCID: PMC8724464          DOI: 10.1007/s12551-021-00859-w

Source DB:  PubMed          Journal:  Biophys Rev        ISSN: 1867-2450


  103 in total

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Authors:  A S Chiang; Y C Liu; S L Chiu; S H Hu; C Y Huang; C H Hsieh
Journal:  J Comp Neurol       Date:  2001-11-05       Impact factor: 3.215

2.  Involvement of Ca(2+)-Dependent Hyperpolarization in Sleep Duration in Mammals.

Authors:  Fumiya Tatsuki; Genshiro A Sunagawa; Shoi Shi; Etsuo A Susaki; Hiroko Yukinaga; Dimitri Perrin; Kenta Sumiyama; Maki Ukai-Tadenuma; Hiroshi Fujishima; Rei-ichiro Ohno; Daisuke Tone; Koji L Ode; Katsuhiko Matsumoto; Hiroki R Ueda
Journal:  Neuron       Date:  2016-03-17       Impact factor: 17.173

Review 3.  Whole-body and Whole-Organ Clearing and Imaging Techniques with Single-Cell Resolution: Toward Organism-Level Systems Biology in Mammals.

Authors:  Etsuo A Susaki; Hiroki R Ueda
Journal:  Cell Chem Biol       Date:  2016-01-21       Impact factor: 8.116

Review 4.  Design principles of biochemical oscillators.

Authors:  Béla Novák; John J Tyson
Journal:  Nat Rev Mol Cell Biol       Date:  2008-10-30       Impact factor: 94.444

5.  One-step generation of mice carrying mutations in multiple genes by CRISPR/Cas-mediated genome engineering.

Authors:  Haoyi Wang; Hui Yang; Chikdu S Shivalila; Meelad M Dawlaty; Albert W Cheng; Feng Zhang; Rudolf Jaenisch
Journal:  Cell       Date:  2013-05-02       Impact factor: 41.582

Review 6.  Benefits and limitations of genome-wide association studies.

Authors:  Vivian Tam; Nikunj Patel; Michelle Turcotte; Yohan Bossé; Guillaume Paré; David Meyre
Journal:  Nat Rev Genet       Date:  2019-08       Impact factor: 53.242

Review 7.  Hydrogel-Tissue Chemistry: Principles and Applications.

Authors:  Viviana Gradinaru; Jennifer Treweek; Kristin Overton; Karl Deisseroth
Journal:  Annu Rev Biophys       Date:  2018-05-20       Impact factor: 12.981

Review 8.  Multi-omics approaches to disease.

Authors:  Yehudit Hasin; Marcus Seldin; Aldons Lusis
Journal:  Genome Biol       Date:  2017-05-05       Impact factor: 13.583

9.  Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes.

Authors:  Angli Xue; Yang Wu; Zhihong Zhu; Futao Zhang; Kathryn E Kemper; Zhili Zheng; Loic Yengo; Luke R Lloyd-Jones; Julia Sidorenko; Yeda Wu; Allan F McRae; Peter M Visscher; Jian Zeng; Jian Yang
Journal:  Nat Commun       Date:  2018-07-27       Impact factor: 14.919

10.  Protection of tissue physicochemical properties using polyfunctional crosslinkers.

Authors:  Young-Gyun Park; Chang Ho Sohn; Ritchie Chen; Margaret McCue; Dae Hee Yun; Gabrielle T Drummond; Taeyun Ku; Nicholas B Evans; Hayeon Caitlyn Oak; Wendy Trieu; Heejin Choi; Xin Jin; Varoth Lilascharoen; Ji Wang; Matthias C Truttmann; Helena W Qi; Hidde L Ploegh; Todd R Golub; Shih-Chi Chen; Matthew P Frosch; Heather J Kulik; Byung Kook Lim; Kwanghun Chung
Journal:  Nat Biotechnol       Date:  2018-12-17       Impact factor: 54.908

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