1
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Li P, Kim S, Tian B. Beyond 25 years of biomedical innovation in nano-bioelectronics. DEVICE 2024; 2:100401. [PMID: 39119268 PMCID: PMC11308927 DOI: 10.1016/j.device.2024.100401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/10/2024]
Abstract
Nano-bioelectronics, which blend the precision of nanotechnology with the complexity of biological systems, are evolving with innovations such as silicon nanowires, carbon nanotubes, and graphene. These elements serve applications from biochemical sensing to brain-machine interfacing. This review examines nano-bioelectronics' role in advancing biomedical interventions and discusses their potential in environmental monitoring, agricultural productivity, energy efficiency, and creative fields. The field is transitioning from molecular to ecosystem-level applications, with research exploring complex cellular mechanisms and communication. This fosters understanding of biological interactions at various levels, such as suggesting transformative approaches for ecosystem management and food security. Future research is expected to focus on refining nano-bioelectronic devices for integration with biological systems and on scalable manufacturing to broaden their reach and functionality.
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Affiliation(s)
- Pengju Li
- Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL 60637, USA
| | - Saehyun Kim
- Department of Chemistry, The University of Chicago, Chicago, IL 60637, USA
| | - Bozhi Tian
- Department of Chemistry, The University of Chicago, Chicago, IL 60637, USA
- The James Franck Institute, The University of Chicago, Chicago, IL 60637, USA
- The Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL 60637, USA
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2
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Zhang M, Yancey C, Zhang C, Wang J, Ma Q, Yang L, Schulman R, Han D, Tan W. A DNA circuit that records molecular events. SCIENCE ADVANCES 2024; 10:eadn3329. [PMID: 38578999 PMCID: PMC10997190 DOI: 10.1126/sciadv.adn3329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 03/04/2024] [Indexed: 04/07/2024]
Abstract
Characterizing the relative onset time, strength, and duration of molecular signals is critical for understanding the operation of signal transduction and genetic regulatory networks. However, detecting multiple such molecules as they are produced and then quickly consumed is challenging. A MER can encode information about transient molecular events as stable DNA sequences and are amenable to downstream sequencing or other analysis. Here, we report the development of a de novo molecular event recorder that processes information using a strand displacement reaction network and encodes the information using the primer exchange reaction, which can be decoded and quantified by DNA sequencing. The event recorder was able to classify the order at which different molecular signals appeared in time with 88% accuracy, the concentrations with 100% accuracy, and the duration with 75% accuracy. This simultaneous and highly programmable multiparameter recording could enable the large-scale deciphering of molecular events such as within dynamic reaction environments, living cells, or tissues.
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Affiliation(s)
- Mingzhi Zhang
- Institute of Molecular Medicine (IMM), Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
- Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Colin Yancey
- Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Chao Zhang
- Institute of Molecular Medicine (IMM), Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
- Intellinosis Biotech Co. Ltd., Shanghai, 201112, China
| | - Junyan Wang
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Qian Ma
- Intellinosis Biotech Co. Ltd., Shanghai, 201112, China
| | - Linlin Yang
- Institute of Molecular Medicine (IMM), Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Rebecca Schulman
- Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
- Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Da Han
- Institute of Molecular Medicine (IMM), Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
| | - Weihong Tan
- Institute of Molecular Medicine (IMM), Shanghai Key Laboratory for Nucleic Acid Chemistry and Nanomedicine, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
- Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China
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3
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Pacesa M, Pelea O, Jinek M. Past, present, and future of CRISPR genome editing technologies. Cell 2024; 187:1076-1100. [PMID: 38428389 DOI: 10.1016/j.cell.2024.01.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 03/03/2024]
Abstract
Genome editing has been a transformative force in the life sciences and human medicine, offering unprecedented opportunities to dissect complex biological processes and treat the underlying causes of many genetic diseases. CRISPR-based technologies, with their remarkable efficiency and easy programmability, stand at the forefront of this revolution. In this Review, we discuss the current state of CRISPR gene editing technologies in both research and therapy, highlighting limitations that constrain them and the technological innovations that have been developed in recent years to address them. Additionally, we examine and summarize the current landscape of gene editing applications in the context of human health and therapeutics. Finally, we outline potential future developments that could shape gene editing technologies and their applications in the coming years.
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Affiliation(s)
- Martin Pacesa
- Laboratory of Protein Design and Immunoengineering, École Polytechnique Fédérale de Lausanne and Swiss Institute of Bioinformatics, Station 19, CH-1015 Lausanne, Switzerland
| | - Oana Pelea
- Department of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland
| | - Martin Jinek
- Department of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
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4
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Zheng Y, Li Y, Zhou K, Li T, VanDusen NJ, Hua Y. Precise genome-editing in human diseases: mechanisms, strategies and applications. Signal Transduct Target Ther 2024; 9:47. [PMID: 38409199 PMCID: PMC10897424 DOI: 10.1038/s41392-024-01750-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 02/28/2024] Open
Abstract
Precise genome-editing platforms are versatile tools for generating specific, site-directed DNA insertions, deletions, and substitutions. The continuous enhancement of these tools has led to a revolution in the life sciences, which promises to deliver novel therapies for genetic disease. Precise genome-editing can be traced back to the 1950s with the discovery of DNA's double-helix and, after 70 years of development, has evolved from crude in vitro applications to a wide range of sophisticated capabilities, including in vivo applications. Nonetheless, precise genome-editing faces constraints such as modest efficiency, delivery challenges, and off-target effects. In this review, we explore precise genome-editing, with a focus on introduction of the landmark events in its history, various platforms, delivery systems, and applications. First, we discuss the landmark events in the history of precise genome-editing. Second, we describe the current state of precise genome-editing strategies and explain how these techniques offer unprecedented precision and versatility for modifying the human genome. Third, we introduce the current delivery systems used to deploy precise genome-editing components through DNA, RNA, and RNPs. Finally, we summarize the current applications of precise genome-editing in labeling endogenous genes, screening genetic variants, molecular recording, generating disease models, and gene therapy, including ex vivo therapy and in vivo therapy, and discuss potential future advances.
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Affiliation(s)
- Yanjiang Zheng
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Yifei Li
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Kaiyu Zhou
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Tiange Li
- Department of Cardiovascular Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Nathan J VanDusen
- Department of Pediatrics, Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
| | - Yimin Hua
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
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5
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Lin HC, Makhlouf A, Vazquez Echegaray C, Zawada D, Simões F. Programming human cell fate: overcoming challenges and unlocking potential through technological breakthroughs. Development 2023; 150:dev202300. [PMID: 38078653 PMCID: PMC10753584 DOI: 10.1242/dev.202300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
In recent years, there have been notable advancements in the ability to programme human cell identity, enabling us to design and manipulate cell function in a Petri dish. However, current protocols for generating target cell types often lack efficiency and precision, resulting in engineered cells that do not fully replicate the desired identity or functional output. This applies to different methods of cell programming, which face similar challenges that hinder progress and delay the achievement of a more favourable outcome. However, recent technological and analytical breakthroughs have provided us with unprecedented opportunities to advance the way we programme cell fate. The Company of Biologists' 2023 workshop on 'Novel Technologies for Programming Human Cell Fate' brought together experts in human cell fate engineering and experts in single-cell genomics, manipulation and characterisation of cells on a single (sub)cellular level. Here, we summarise the main points that emerged during the workshop's themed discussions. Furthermore, we provide specific examples highlighting the current state of the field as well as its trajectory, offering insights into the potential outcomes resulting from the application of these breakthrough technologies in precisely engineering the identity and function of clinically valuable human cells.
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Affiliation(s)
- Hsiu-Chuan Lin
- Department of Biosystems Science and Engineering, ETH Zürich, 4057 Basel, Switzerland
| | - Aly Makhlouf
- MRC Laboratory of Molecular Biology, University of Cambridge, Cambridge CB2 0QH, UK
| | - Camila Vazquez Echegaray
- Molecular Medicine and Gene Therapy, Lund Stem Cell Centre, Wallenberg Centre for Molecular Medicine, Lund University, 221 84 Lund, Sweden
| | - Dorota Zawada
- First Department of Medicine, Cardiology, Klinikum rechts der Isar, Technical University of Munich, School of Medicine and Health, 81675 Munich, Germany
- German Center for Cardiovascular Research (DZHK), Munich Heart Alliance, 80636 Munich, Germany
- Regenerative Medicine in Cardiovascular Diseases, First Department of Medicine, Klinikum rechts der Isar, Technical University of Munich, School of Medicine and Health, 81675 Munich, Germany
| | - Filipa Simões
- Department of Physiology, Anatomy and Genetics, Institute of Developmental and Regenerative Medicine, University of Oxford, Oxford OX3 7TY, UK
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6
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Chen Z, Jin W, Hoover A, Chao Y, Ma Y. Decoding the microbiome: advances in genetic manipulation for gut bacteria. Trends Microbiol 2023; 31:1143-1161. [PMID: 37394299 DOI: 10.1016/j.tim.2023.05.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 05/15/2023] [Accepted: 05/16/2023] [Indexed: 07/04/2023]
Abstract
Studies of the gut microbiota have revealed associations between specific bacterial species or community compositions with health and disease, yet the causal mechanisms underlying microbiota gene-host interactions remain poorly understood. This is partly due to limited genetic manipulation (GM) tools for gut bacteria. Here, we review current advances and challenges in the development of GM approaches, including clustered regularly interspaced short palindromic repeats (CRISPR)-Cas and transposase-based systems in either model or non-model gut bacteria. By overcoming barriers to 'taming' the gut microbiome, GM tools allow molecular understanding of host-microbiome associations and accelerate microbiome engineering for clinical treatment of cancer and metabolic disorders. Finally, we provide perspectives on the future development of GM for gut microbiome species, where more effort should be placed on assembling a generalized GM pipeline to accelerate the application of groundbreaking GM tools in non-model gut bacteria towards both basic understanding and clinical translation.
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Affiliation(s)
- Ziying Chen
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200031, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200031, China; The Center for Microbes, Development and Health (CMDH), CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai 200031, China
| | - Wenbing Jin
- Jill Roberts Institute for Research in Inflammatory Bowel Disease, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA; Friedman Center for Nutrition and Inflammation, Weill Cornell Medicine, Cornell University, New York, NY 10021, USA
| | - Alex Hoover
- Ben May Department for Cancer Research, the University of Chicago, Chicago, IL, USA
| | - Yanjie Chao
- The Center for Microbes, Development and Health (CMDH), CAS Key Laboratory of Molecular Virology and Immunology, Institut Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai 200031, China.
| | - Yanlei Ma
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200031, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200031, China.
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7
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Sadremomtaz A, Glass RF, Guerrero JE, LaJeunesse DR, Josephs EA, Zadegan R. Digital data storage on DNA tape using CRISPR base editors. Nat Commun 2023; 14:6472. [PMID: 37833288 PMCID: PMC10576057 DOI: 10.1038/s41467-023-42223-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 10/04/2023] [Indexed: 10/15/2023] Open
Abstract
While the archival digital memory industry approaches its physical limits, the demand is significantly increasing, therefore alternatives emerge. Recent efforts have demonstrated DNA's enormous potential as a digital storage medium with superior information durability, capacity, and energy consumption. However, the majority of the proposed systems require on-demand de-novo DNA synthesis techniques that produce a large amount of toxic waste and therefore are not industrially scalable and environmentally friendly. Inspired by the architecture of semiconductor memory devices and recent developments in gene editing, we created a molecular digital data storage system called "DNA Mutational Overwriting Storage" (DMOS) that stores information by leveraging combinatorial, addressable, orthogonal, and independent in vitro CRISPR base-editing reactions to write data on a blank pool of greenly synthesized DNA tapes. As a proof of concept, this work illustrates writing and accurately reading of both a bitmap representation of our school's logo and the title of this study on the DNA tapes.
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Affiliation(s)
- Afsaneh Sadremomtaz
- Department of Nanoengineering, Joint School of Nanoscience and Nanoengineering, NC A&T State University, Greensboro, NC, USA
| | - Robert F Glass
- Department of Nanoscience, Joint School of Nanoscience and Nanoengineering, UNC Greensboro, Greensboro, NC, USA
| | - Jorge Eduardo Guerrero
- Department of Nanoengineering, Joint School of Nanoscience and Nanoengineering, NC A&T State University, Greensboro, NC, USA
| | - Dennis R LaJeunesse
- Department of Nanoscience, Joint School of Nanoscience and Nanoengineering, UNC Greensboro, Greensboro, NC, USA
| | - Eric A Josephs
- Department of Nanoscience, Joint School of Nanoscience and Nanoengineering, UNC Greensboro, Greensboro, NC, USA.
| | - Reza Zadegan
- Department of Nanoengineering, Joint School of Nanoscience and Nanoengineering, NC A&T State University, Greensboro, NC, USA.
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8
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Raza MH, Desai S, Aravamudhan S, Zadegan R. An outlook on the current challenges and opportunities in DNA data storage. Biotechnol Adv 2023; 66:108155. [PMID: 37068530 PMCID: PMC11060094 DOI: 10.1016/j.biotechadv.2023.108155] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/23/2023] [Accepted: 04/12/2023] [Indexed: 04/19/2023]
Abstract
Silicon is the gold standard for information storage systems. The exponential generation of digital information will exhaust the global supply of refined silicon. Therefore, investing in alternative information storage materials such as DNA has gained momentum. DNA as a memory material possesses several advantages over silicon-based data storage, including higher storage capacity, data retention, and lower operational energy. Routine DNA data storage approaches encode data into chemically synthesized nucleotide sequences. The scalability of DNA data storage depends on factors such as the cost and the generation of hazardous waste during DNA synthesis, latency of writing and reading, and limited rewriting capacity. Here, we review the current status of DNA data storage encoding, writing, storing, retrieving and reading, and discuss the technology's challenges and opportunities.
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Affiliation(s)
- Muhammad Hassan Raza
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, Greensboro, NC 27401, USA
| | - Salil Desai
- Department of Industrial & Systems Engineering, North Carolina Agricultural & Technical State University, Greensboro, NC 27411, USA; Center of Excellence in Product Design and Advanced Manufacturing (CEPDAM), North Carolina Agricultural & Technical State University, Greensboro, NC 27411, USA
| | - Shyam Aravamudhan
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, Greensboro, NC 27401, USA; Center of Excellence in Product Design and Advanced Manufacturing (CEPDAM), North Carolina Agricultural & Technical State University, Greensboro, NC 27411, USA
| | - Reza Zadegan
- Department of Nanoengineering, Joint School of Nanoscience & Nanoengineering, Greensboro, NC 27401, USA; Center of Excellence in Product Design and Advanced Manufacturing (CEPDAM), North Carolina Agricultural & Technical State University, Greensboro, NC 27411, USA.
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9
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Jung YJ, Kim H, Cheong HK, Lim YB. Magnetic control of self-assembly and disassembly in organic materials. Nat Commun 2023; 14:3081. [PMID: 37248227 DOI: 10.1038/s41467-023-38846-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 05/18/2023] [Indexed: 05/31/2023] Open
Abstract
Because organic molecules and materials are generally insensitive or weakly sensitive to magnetic fields, a certain means to enhance their magnetic responsiveness needs to be exploited. Here we show a strategy to amplify the magnetic responsiveness of self-assembled peptide nanostructures by synergistically combining the concepts of perfect α-helix and rod-coil supramolecular building blocks. Firstly, we develop a monomeric, nonpolar, and perfect α-helix (MNP-helix). Then, we employ the MNP-helix as the rod block of rod-coil amphiphiles (rod-coils) because rod-coils are well-suited for fabricating responsive assemblies. We show that the self-assembly processes of the designed rod-coils and disassembly of rod-coil/DNA complexes can be controlled in a magnetically responsive manner using the relatively weak magnetic field provided by the ordinary neodymium magnet [0.07 ~ 0.25 Tesla (T)]. These results demonstrate that magnetically responsive organic assemblies usable under practical conditions can be realized by using rod-coil supramolecular building blocks containing constructively organized diamagnetic moieties.
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Affiliation(s)
- You-Jin Jung
- Department of Materials Science & Engineering, Yonsei University, 50 Yonsei-ro, Seoul, 03722, Republic of Korea
| | - Hyoseok Kim
- Department of Materials Science & Engineering, Yonsei University, 50 Yonsei-ro, Seoul, 03722, Republic of Korea
| | - Hae-Kap Cheong
- Division of Magnetic Resonance, Korea Basic Science Institute, Ochang, 28119, Republic of Korea
| | - Yong-Beom Lim
- Department of Materials Science & Engineering, Yonsei University, 50 Yonsei-ro, Seoul, 03722, Republic of Korea.
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10
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Kalamakis G, Platt RJ. CRISPR for neuroscientists. Neuron 2023:S0896-6273(23)00306-9. [PMID: 37201524 DOI: 10.1016/j.neuron.2023.04.021] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 03/14/2023] [Accepted: 04/18/2023] [Indexed: 05/20/2023]
Abstract
Genome engineering technologies provide an entry point into understanding and controlling the function of genetic elements in health and disease. The discovery and development of the microbial defense system CRISPR-Cas yielded a treasure trove of genome engineering technologies and revolutionized the biomedical sciences. Comprising diverse RNA-guided enzymes and effector proteins that evolved or were engineered to manipulate nucleic acids and cellular processes, the CRISPR toolbox provides precise control over biology. Virtually all biological systems are amenable to genome engineering-from cancer cells to the brains of model organisms to human patients-galvanizing research and innovation and giving rise to fundamental insights into health and powerful strategies for detecting and correcting disease. In the field of neuroscience, these tools are being leveraged across a wide range of applications, including engineering traditional and non-traditional transgenic animal models, modeling disease, testing genomic therapies, unbiased screening, programming cell states, and recording cellular lineages and other biological processes. In this primer, we describe the development and applications of CRISPR technologies while highlighting outstanding limitations and opportunities.
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Affiliation(s)
- Georgios Kalamakis
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland; Novartis Institutes for BioMedical Research, 4056 Basel, Switzerland
| | - Randall J Platt
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland; Department of Chemistry, University of Basel, Petersplatz 1, 4003 Basel, Switzerland; NCCR MSE, Mattenstrasse 24a, 4058 Basel, Switzerland; Botnar Research Center for Child Health, Mattenstrasse 24a, 4058 Basel, Switzerland.
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11
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Linghu C, An B, Shpokayte M, Celiker OT, Shmoel N, Zhang R, Zhang C, Park D, Park WM, Ramirez S, Boyden ES. Recording of cellular physiological histories along optically readable self-assembling protein chains. Nat Biotechnol 2023; 41:640-651. [PMID: 36593405 PMCID: PMC10188365 DOI: 10.1038/s41587-022-01586-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 10/21/2022] [Indexed: 01/03/2023]
Abstract
Observing cellular physiological histories is key to understanding normal and disease-related processes. Here we describe expression recording islands-a fully genetically encoded approach that enables both continual digital recording of biological information within cells and subsequent high-throughput readout in fixed cells. The information is stored in growing intracellular protein chains made of self-assembling subunits, human-designed filament-forming proteins bearing different epitope tags that each correspond to a different cellular state or function (for example, gene expression downstream of neural activity or pharmacological exposure), allowing the physiological history to be read out along the ordered subunits of protein chains with conventional optical microscopy. We use expression recording islands to record gene expression timecourse downstream of specific pharmacological and physiological stimuli in cultured neurons and in living mouse brain, with a time resolution of a fraction of a day, over periods of days to weeks.
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Affiliation(s)
- Changyang Linghu
- Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
- Biological Engineering, MIT, Cambridge, MA, USA
- Media Arts and Sciences, MIT, Cambridge, MA, USA
- McGovern Institute, MIT, Cambridge, MA, USA
- Department of Cell and Developmental Biology, Program in Single Cell Spatial Analysis, and Michigan Neuroscience Institute, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Bobae An
- Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
- Biological Engineering, MIT, Cambridge, MA, USA
- Media Arts and Sciences, MIT, Cambridge, MA, USA
- McGovern Institute, MIT, Cambridge, MA, USA
| | - Monika Shpokayte
- Graduate Program for Neuroscience, Boston University, Boston, MA, USA
- Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Orhan T Celiker
- Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
- Biological Engineering, MIT, Cambridge, MA, USA
- Media Arts and Sciences, MIT, Cambridge, MA, USA
- McGovern Institute, MIT, Cambridge, MA, USA
| | - Nava Shmoel
- Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
- Biological Engineering, MIT, Cambridge, MA, USA
- Media Arts and Sciences, MIT, Cambridge, MA, USA
- McGovern Institute, MIT, Cambridge, MA, USA
| | - Ruihan Zhang
- Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
- Biological Engineering, MIT, Cambridge, MA, USA
- Media Arts and Sciences, MIT, Cambridge, MA, USA
- McGovern Institute, MIT, Cambridge, MA, USA
| | - Chi Zhang
- Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
- Biological Engineering, MIT, Cambridge, MA, USA
- Media Arts and Sciences, MIT, Cambridge, MA, USA
- McGovern Institute, MIT, Cambridge, MA, USA
| | - Demian Park
- Brain and Cognitive Sciences, MIT, Cambridge, MA, USA
- Biological Engineering, MIT, Cambridge, MA, USA
- Media Arts and Sciences, MIT, Cambridge, MA, USA
- McGovern Institute, MIT, Cambridge, MA, USA
| | - Won Min Park
- Chemical Engineering, Kansas State University, Manhattan, KS, USA
| | - Steve Ramirez
- Psychological and Brain Sciences, Boston University, Boston, MA, USA
| | - Edward S Boyden
- Brain and Cognitive Sciences, MIT, Cambridge, MA, USA.
- Biological Engineering, MIT, Cambridge, MA, USA.
- Media Arts and Sciences, MIT, Cambridge, MA, USA.
- McGovern Institute, MIT, Cambridge, MA, USA.
- Howard Hughes Medical Institute, MIT, Cambridge, MA, USA.
- K Lisa Yang Center for Bionics, MIT, Cambridge, MA, USA.
- Center for Neurobiological Engineering, MIT, Cambridge, MA, USA.
- Koch Institute, MIT, Cambridge, MA, USA.
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12
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Marken JP, Murray RM. Addressable and adaptable intercellular communication via DNA messaging. Nat Commun 2023; 14:2358. [PMID: 37095088 PMCID: PMC10126159 DOI: 10.1038/s41467-023-37788-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 03/31/2023] [Indexed: 04/26/2023] Open
Abstract
Engineered consortia are a major research focus for synthetic biologists because they can implement sophisticated behaviors inaccessible to single-strain systems. However, this functional capacity is constrained by their constituent strains' ability to engage in complex communication. DNA messaging, by enabling information-rich channel-decoupled communication, is a promising candidate architecture for implementing complex communication. But its major advantage, its messages' dynamic mutability, is still unexplored. We develop a framework for addressable and adaptable DNA messaging that leverages all three of these advantages and implement it using plasmid conjugation in E. coli. Our system can bias the transfer of messages to targeted receiver strains by 100- to 1000-fold, and their recipient lists can be dynamically updated in situ to control the flow of information through the population. This work lays the foundation for future developments that further utilize the unique advantages of DNA messaging to engineer previously-inaccessible levels of complexity into biological systems.
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Affiliation(s)
- John P Marken
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
| | - Richard M Murray
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA
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13
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Domcke S, Shendure J. A reference cell tree will serve science better than a reference cell atlas. Cell 2023; 186:1103-1114. [PMID: 36931241 DOI: 10.1016/j.cell.2023.02.016] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 01/15/2023] [Accepted: 02/10/2023] [Indexed: 03/18/2023]
Abstract
Single-cell biology is facing a crisis of sorts. Vast numbers of single-cell molecular profiles are being generated, clustered and annotated. However, this is overwhelmingly ad hoc, and we continue to lack a principled, unified, and well-moored system for defining, naming, and organizing cell types. In this perspective, we argue against an atlas or periodic table-like discretization as the right metaphor for a reference taxonomy of cell types. In its place, we advocate for a data-driven, tree-based nomenclature that is rooted in a "consensus ontogeny" spanning the life cycle of a given species. We explore how such a reference cell tree, inclusive of both lineage histories and molecular states, could be constructed, represented, and segmented in practice. Analogous to the taxonomic classification of species, a consensus ontogeny would provide a universal, stable, and extendable framework for precise scientific communication, both contemporaneously and across the ages.
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Affiliation(s)
- Silvia Domcke
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA.
| | - Jay Shendure
- Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA, USA; Brotman Baty Institute for Precision Medicine, Seattle, WA, USA; Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA; Howard Hughes Medical Institute, Seattle, WA, USA.
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14
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Sen D, Mukhopadhyay P. Application of CRISPR Cas systems in DNA recorders and writers. Biosystems 2023; 225:104870. [PMID: 36842456 DOI: 10.1016/j.biosystems.2023.104870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Revised: 02/13/2023] [Accepted: 02/23/2023] [Indexed: 02/26/2023]
Abstract
The necessity to record and store biological data is increasing in due course of time. However, it is quite difficult to understand biological mechanisms and keep a track of these events in some storage mediums. DNA (deoxyribonucleic acid) is the best candidate for the storage of cellular events in the biological system. It is energy efficient as well as stable at the same time. DNA-based writers and memory devices are continually evolving and finding new avenues in terms of their wide range of applications. Among all the DNA-based storage devices that employ enzymes like recombinases, nucleases, integrases, and polymerases, one of the most popular tools used for these devices is the emerging and versatile CRISPR Cas technology. CRISPR Cas is a prokaryotic immune system that keeps a memory of viral attacks and protects prokaryotes from potential future infections. The main aim of this short review is to study such molecular recorders and writers that employ CRISPR Cas technologies and obtain an in-depth overview of the mechanisms involved and the applications of these molecular devices.
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Affiliation(s)
- Debmitra Sen
- Department of Microbiology, University of Kalyani, Nadia, West Bengal, 741235, India.
| | - Poulami Mukhopadhyay
- Department of Microbiology, Barrackpore Rastraguru Surendranath College, Barrackpore, Kolkata, West Bengal, 700120, India.
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15
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Zou ZP, Du Y, Fang TT, Zhou Y, Ye BC. Biomarker-responsive engineered probiotic diagnoses, records, and ameliorates inflammatory bowel disease in mice. Cell Host Microbe 2023; 31:199-212.e5. [PMID: 36758520 DOI: 10.1016/j.chom.2022.12.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Revised: 10/22/2022] [Accepted: 12/05/2022] [Indexed: 12/29/2022]
Abstract
Rapid advances in synthetic biology have fueled interest in engineered microorganisms that can diagnose and treat disease. However, designing bacteria that detect dynamic disease-associated biomarkers that then drive treatment remains difficult. Here, we have developed an engineered probiotic that noninvasively monitors and records inflammatory bowel disease (IBD) occurrence and progression in real time and can release treatments via a self-tunable mechanism in response to these biomarkers. These intelligent responsive bacteria for diagnosis and therapy (i-ROBOT) consists of E. coli Nissle 1917 that responds to levels of the inflammatory marker thiosulfate by activating a base-editing system to generate a heritable genomic DNA sequence as well as producing a colorimetric signal. Fluctuations in thiosulfate also drive the tunable release of the immunomodulator AvCystatin. Orally administering i-ROBOT to mice with colitis generated molecular recording signals in processed fecal and colon samples and effectively ameliorated disease. i-ROBOT provides a promising paradigm for gastrointestinal and other metabolic disorders.
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Affiliation(s)
- Zhen-Ping Zou
- Laboratory of Biosystems and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Yue Du
- Laboratory of Biosystems and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Ting-Ting Fang
- Laboratory of Biosystems and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Ying Zhou
- Laboratory of Biosystems and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China.
| | - Bang-Ce Ye
- Laboratory of Biosystems and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China; Institute of Engineering Biology and Health, Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, China.
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16
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Lu JY, Jiang Q, Lei JJ, He YX, Huang WT. Molecular ‘email’: Electrochemical aptasensing of fish pathogens, molecular information encoding, encryption and hiding applications. Anal Chim Acta 2022; 1232:340483. [DOI: 10.1016/j.aca.2022.340483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 09/30/2022] [Accepted: 10/03/2022] [Indexed: 11/01/2022]
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17
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Kempton HR, Love KS, Guo LY, Qi LS. Scalable biological signal recording in mammalian cells using Cas12a base editors. Nat Chem Biol 2022; 18:742-750. [PMID: 35637351 PMCID: PMC9246900 DOI: 10.1038/s41589-022-01034-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 04/06/2022] [Indexed: 12/26/2022]
Abstract
Biological signal recording enables the study of molecular inputs experienced throughout cellular history. However, current methods are limited in their ability to scale up beyond a single signal in mammalian contexts. Here, we develop an approach using a hyper-efficient dCas12a base editor for multi-signal parallel recording in human cells. We link signals of interest to expression of guide RNAs to catalyze specific nucleotide conversions as a permanent record, enabled by Cas12's guide-processing abilities. We show this approach is plug-and-play with diverse biologically relevant inputs and extend it for more sophisticated applications, including recording of time-delimited events and history of chimeric antigen receptor T cells' antigen exposure. We also demonstrate efficient recording of up to four signals in parallel on an endogenous safe-harbor locus. This work provides a versatile platform for scalable recording of signals of interest for a variety of biological applications.
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Affiliation(s)
- Hannah R Kempton
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Kasey S Love
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Lucie Y Guo
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Ophthalmology, Stanford University, Stanford, CA, USA
| | - Lei S Qi
- Department of Bioengineering, Stanford University, Stanford, CA, USA.
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA.
- Chan Zuckerberg BioHub, San Francisco, CA, USA.
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18
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Vos PD, Rossetti G, Mantegna JL, Siira SJ, Gandadireja AP, Bruce M, Raven SA, Khersonsky O, Fleishman SJ, Filipovska A, Rackham O. Computationally designed hyperactive Cas9 enzymes. Nat Commun 2022; 13:3023. [PMID: 35641498 PMCID: PMC9156780 DOI: 10.1038/s41467-022-30598-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 05/10/2022] [Indexed: 12/01/2022] Open
Abstract
The ability to alter the genomes of living cells is key to understanding how genes influence the functions of organisms and will be critical to modify living systems for useful purposes. However, this promise has long been limited by the technical challenges involved in genetic engineering. Recent advances in gene editing have bypassed some of these challenges but they are still far from ideal. Here we use FuncLib to computationally design Cas9 enzymes with substantially higher donor-independent editing activities. We use genetic circuits linked to cell survival in yeast to quantify Cas9 activity and discover synergistic interactions between engineered regions. These hyperactive Cas9 variants function efficiently in mammalian cells and introduce larger and more diverse pools of insertions and deletions into targeted genomic regions, providing tools to enhance and expand the possible applications of CRISPR-based gene editing. The ability to alter the genomes of living cells is key to understanding how genes influence the functions of organisms and will be critical to modify living systems for useful purposes. Here, the authors use computational design to discover Cas9 enzymes with increased activity.
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Affiliation(s)
- Pascal D Vos
- Curtin Medical School, Curtin University, Bentley, WA, Australia.,Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia.,Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.,ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, Nedlands, WA, Australia.,Centre for Medical Research, The University of Western Australia, Nedlands, WA, Australia.,School of Molecular Sciences, The University of Western Australia, Crawley, WA, Australia
| | - Giulia Rossetti
- Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.,ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, Nedlands, WA, Australia.,Telethon Kids Institute, Northern Entrance, Perth Children's Hospital, Nedlands, WA, Australia
| | - Jessica L Mantegna
- Curtin Medical School, Curtin University, Bentley, WA, Australia.,Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia.,Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.,ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, Nedlands, WA, Australia
| | - Stefan J Siira
- Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.,ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, Nedlands, WA, Australia
| | - Andrianto P Gandadireja
- Curtin Medical School, Curtin University, Bentley, WA, Australia.,Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia.,Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.,ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, Nedlands, WA, Australia
| | - Mitchell Bruce
- Curtin Medical School, Curtin University, Bentley, WA, Australia.,Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia
| | - Samuel A Raven
- Curtin Medical School, Curtin University, Bentley, WA, Australia.,Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia.,Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.,ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, Nedlands, WA, Australia.,Centre for Medical Research, The University of Western Australia, Nedlands, WA, Australia
| | - Olga Khersonsky
- Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Sarel J Fleishman
- Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Aleksandra Filipovska
- Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia.,ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, Nedlands, WA, Australia.,Centre for Medical Research, The University of Western Australia, Nedlands, WA, Australia.,School of Molecular Sciences, The University of Western Australia, Crawley, WA, Australia.,Telethon Kids Institute, Northern Entrance, Perth Children's Hospital, Nedlands, WA, Australia
| | - Oliver Rackham
- Curtin Medical School, Curtin University, Bentley, WA, Australia. .,Curtin Health Innovation Research Institute, Curtin University, Bentley, WA, Australia. .,Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA, Australia. .,ARC Centre of Excellence in Synthetic Biology, QEII Medical Centre, Nedlands, WA, Australia. .,Telethon Kids Institute, Northern Entrance, Perth Children's Hospital, Nedlands, WA, Australia.
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19
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Schmidt F, Zimmermann J, Tanna T, Farouni R, Conway T, Macpherson AJ, Platt RJ. Noninvasive assessment of gut function using transcriptional recording sentinel cells. Science 2022; 376:eabm6038. [PMID: 35549411 PMCID: PMC11163514 DOI: 10.1126/science.abm6038] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Transcriptional recording by CRISPR spacer acquisition from RNA endows engineered Escherichia coli with synthetic memory, which through Record-seq reveals transcriptome-scale records. Microbial sentinels that traverse the gastrointestinal tract capture a wide range of genes and pathways that describe interactions with the host, including quantitative shifts in the molecular environment that result from alterations in the host diet, induced inflammation, and microbiome complexity. We demonstrate multiplexed recording using barcoded CRISPR arrays, enabling the reconstruction of transcriptional histories of isogenic bacterial strains in vivo. Record-seq therefore provides a scalable, noninvasive platform for interrogating intestinal and microbial physiology throughout the length of the intestine without manipulations to host physiology and can determine how single microbial genetic differences alter the way in which the microbe adapts to the host intestinal environment.
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Affiliation(s)
- Florian Schmidt
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland
| | - Jakob Zimmermann
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
- Department for Biomedical Research, University of Bern, Bern, Switzerland
| | - Tanmay Tanna
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland
- Department of Computer Science, ETH Zurich, Universitätstrasse 6, 8092 Zurich, Switzerland
| | - Rick Farouni
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland
| | - Tyrrell Conway
- Department of Microbiology and Molecular Genetics, Oklahoma State University, Stillwater, OK 74078, USA
| | - Andrew J. Macpherson
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Switzerland
- Department for Biomedical Research, University of Bern, Bern, Switzerland
- Botnar Research Center for Child Health, Mattenstrasse 24a, 4058 Basel, Switzerland
| | - Randall J. Platt
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland
- Botnar Research Center for Child Health, Mattenstrasse 24a, 4058 Basel, Switzerland
- Department of Chemistry, University of Basel, Petersplatz 1, 4003 Basel, Switzerland
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20
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Odoh CK, Guo X, Arnone JT, Wang X, Zhao ZK. The role of NAD and NAD precursors on longevity and lifespan modulation in the budding yeast, Saccharomyces cerevisiae. Biogerontology 2022; 23:169-199. [PMID: 35260986 PMCID: PMC8904166 DOI: 10.1007/s10522-022-09958-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 02/16/2022] [Indexed: 11/26/2022]
Abstract
Molecular causes of aging and longevity interventions have witnessed an upsurge in the last decade. The resurgent interests in the application of small molecules as potential geroprotectors and/or pharmacogenomics point to nicotinamide adenine dinucleotide (NAD) and its precursors, nicotinamide riboside, nicotinamide mononucleotide, nicotinamide, and nicotinic acid as potentially intriguing molecules. Upon supplementation, these compounds have shown to ameliorate aging related conditions and possibly prevent death in model organisms. Besides being a molecule essential in all living cells, our understanding of the mechanism of NAD metabolism and its regulation remain incomplete owing to its omnipresent nature. Here we discuss recent advances and techniques in the study of chronological lifespan (CLS) and replicative lifespan (RLS) in the model unicellular organism Saccharomyces cerevisiae. We then follow with the mechanism and biology of NAD precursors and their roles in aging and longevity. Finally, we review potential biotechnological applications through engineering of microbial lifespan, and laid perspective on the promising candidature of alternative redox compounds for extending lifespan.
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Affiliation(s)
- Chuks Kenneth Odoh
- Laboratory of Biotechnology, Dalian Institute of Chemical Physics, CAS, 457 Zhongshan Rd, Dalian, 116023, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Xiaojia Guo
- Laboratory of Biotechnology, Dalian Institute of Chemical Physics, CAS, 457 Zhongshan Rd, Dalian, 116023, China
- Dalian Key Laboratory of Energy Biotechnology, Dalian Institute of Chemical Physics, CAS, 457 Zhongshan Rd, Dalian, 116023, China
| | - James T Arnone
- Department of Biology, William Paterson University, Wayne, NJ, 07470, USA
| | - Xueying Wang
- Laboratory of Biotechnology, Dalian Institute of Chemical Physics, CAS, 457 Zhongshan Rd, Dalian, 116023, China
- Dalian Key Laboratory of Energy Biotechnology, Dalian Institute of Chemical Physics, CAS, 457 Zhongshan Rd, Dalian, 116023, China
| | - Zongbao K Zhao
- Laboratory of Biotechnology, Dalian Institute of Chemical Physics, CAS, 457 Zhongshan Rd, Dalian, 116023, China.
- Dalian Key Laboratory of Energy Biotechnology, Dalian Institute of Chemical Physics, CAS, 457 Zhongshan Rd, Dalian, 116023, China.
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21
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Bu ZQ, Yao QF, Liu QY, Quan MX, Lu JY, Huang WT. Peptide-Based Sensing, Logic Computing, and Information Security on the Antimonene Platform. ACS APPLIED MATERIALS & INTERFACES 2022; 14:8311-8321. [PMID: 35112857 DOI: 10.1021/acsami.1c23814] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Peptides have higher information density than DNA and equivalent molecular recognition ability and durability. However, there are currently no reports on the comprehensive use of peptides' recognition ability and structural diversity for sensing, logic computing, information coding, and protection. Herein, we, for the first time, demonstrate peptide-based sensing, logic computing, and information security on the antimonene platform. The molecular recognition capability and structural diversity (amino acid sequence) of peptides (Pb2+-binding peptide DHHTQQHD as a model) adsorbed on the antimonene universal fluorescence quenching platform were comprehensively utilized to sense targets (Pb2+) and give a response (fluorescence turn-on) and then to encode, encrypt, and hide information. Fluorescently labeled peptides used as the recognition probe and the information carrier were quenched and hidden by the large-plane two-dimensional material antimonene and specifically bound by Pb2+ as the stego key, resulting in fluorescence recovery. The above interaction and signal change can be considered as a peptide-based sensing and steganographic process to further implement quantitative detection of Pb2+, complex logic operation, information coding, encrypting, and hiding using a peptide sequence and the binary conversion of its selectivity. This research provides a basic paradigm for the construction of a molecular sensing and informatization platform and will inspire the development of biopolymer-based molecular information technology (processing, communication, control, security).
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Affiliation(s)
- Zhen Qi Bu
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Provincial Key Laboratory of Microbial Molecular Biology, College of Life Science, Hunan Normal University, Changsha 410081, P. R. China
| | - Qing Feng Yao
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Provincial Key Laboratory of Microbial Molecular Biology, College of Life Science, Hunan Normal University, Changsha 410081, P. R. China
| | - Qing Yu Liu
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Provincial Key Laboratory of Microbial Molecular Biology, College of Life Science, Hunan Normal University, Changsha 410081, P. R. China
| | - Min Xia Quan
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Provincial Key Laboratory of Microbial Molecular Biology, College of Life Science, Hunan Normal University, Changsha 410081, P. R. China
| | - Jiao Yang Lu
- Academician Workstation, Changsha Medical University, Changsha 410219, P. R. China
| | - Wei Tao Huang
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Provincial Key Laboratory of Microbial Molecular Biology, College of Life Science, Hunan Normal University, Changsha 410081, P. R. China
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22
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Chen M, Wang Y, Zhang J, Peng Y, Li S, Han D, Ren S, Qin K, Li S, Gao Z. Stimuli-responsive DNA-based hydrogels for biosensing applications. J Nanobiotechnology 2022; 20:40. [PMID: 35062945 PMCID: PMC8777454 DOI: 10.1186/s12951-022-01242-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 01/02/2022] [Indexed: 12/26/2022] Open
Abstract
The base sequences of DNA are endowed with the rich structural and functional information and are available for the precise construction of the 2D and 3D macro products. The hydrogels formed by DNA are biocompatible, stable, tunable and biologically versatile, thus, these have a wide range of promising applications in bioanalysis and biomedicine. In particular, the stimuli-responsive DNA hydrogels (smart DNA hydrogels), which exhibit a reversible and switchable hydrogel to sol transition under different triggers, have emerged as smart materials for sensing. Thus far, the combination of the stimuli-responsive DNA hydrogels and multiple sensing platforms is considered as biocompatible and is useful as the flexible recognition components. A review of the stimuli-responsive DNA hydrogels and their biosensing applications has been presented in this study. The synthesis methods to prepare the DNA hydrogels have been introduced. Subsequently, the current status of the stimuli-responsive DNA hydrogels in biosensing has been described. The analytical mechanisms are further elaborated by the combination of the stimuli-responsive DNA hydrogels with the optical, electrochemical, point-of-care testing (POCT) and other detection platforms. In addition, the prospects of the application of the stimuli-responsive DNA hydrogels in biosensing are presented.
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23
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Takasugi PR, Wang S, Truong KT, Drage EP, Kanishka SN, Higbee MA, Bamidele N, Ojelabi O, Sontheimer EJ, Gagnon JA. Orthogonal CRISPR-Cas tools for genome editing, inhibition, and CRISPR recording in zebrafish embryos. Genetics 2022; 220:iyab196. [PMID: 34735006 PMCID: PMC8733422 DOI: 10.1093/genetics/iyab196] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 10/26/2021] [Indexed: 11/15/2022] Open
Abstract
The clustered regularly interspaced short palindromic repeats (CRISPR)-Cas universe continues to expand. The type II CRISPR-Cas system from Streptococcus pyogenes (SpyCas9) is the most widely used for genome editing due to its high efficiency in cells and organisms. However, concentrating on a single CRISPR-Cas system imposes limits on target selection and multiplexed genome engineering. We hypothesized that CRISPR-Cas systems originating from different bacterial species could operate simultaneously and independently due to their distinct single-guide RNAs (sgRNAs) or CRISPR-RNAs (crRNAs), and protospacer adjacent motifs (PAMs). Additionally, we hypothesized that CRISPR-Cas activity in zebrafish could be regulated through the expression of inhibitory anti-CRISPR (Acr) proteins. Here, we use a simple mutagenesis approach to demonstrate that CRISPR-Cas systems from S. pyogenes (SpyCas9), Streptococcus aureus (SauCas9), Lachnospiraceae bacterium (LbaCas12a, previously known as LbCpf1) are orthogonal systems capable of operating simultaneously in zebrafish. CRISPR systems from Acidaminococcus sp. (AspCas12a, previously known as AsCpf1) and Neisseria meningitidis (Nme2Cas9) were also active in embryos. We implemented multichannel CRISPR recording using three CRISPR systems and show that LbaCas12a may provide superior information density compared with previous methods. We also demonstrate that type II Acrs (anti-CRISPRs) are effective inhibitors of SpyCas9 in zebrafish. Our results indicate that at least five CRISPR-Cas systems and two anti-CRISPR proteins are functional in zebrafish embryos. These orthogonal CRISPR-Cas systems and Acr proteins will enable combinatorial and intersectional strategies for spatiotemporal control of genome editing and genetic recording in animals.
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Affiliation(s)
- Paige R Takasugi
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Shengzhou Wang
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Kimberly T Truong
- Department of Mathematics, University of Utah, Salt Lake City, UT 84112, USA
| | - Evan P Drage
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Sahar N Kanishka
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Marissa A Higbee
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
| | - Nathan Bamidele
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Ogooluwa Ojelabi
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Erik J Sontheimer
- RNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
- Program in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - James A Gagnon
- School of Biological Sciences, University of Utah, Salt Lake City, UT 84112, USA
- Henry Eyring Center for Cell & Genome Science, University of Utah, Salt Lake City, UT 84112, USA
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24
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Ibrahim AU, Al-Turjman F, Sa’id Z, Ozsoz M. Futuristic CRISPR-based biosensing in the cloud and internet of things era: an overview. MULTIMEDIA TOOLS AND APPLICATIONS 2022; 81:35143-35171. [PMID: 32837247 PMCID: PMC7276962 DOI: 10.1007/s11042-020-09010-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 03/16/2020] [Accepted: 05/01/2020] [Indexed: 05/02/2023]
Abstract
Biosensors-based devices are transforming medical diagnosis of diseases and monitoring of patient signals. The development of smart and automated molecular diagnostic tools equipped with biomedical big data analysis, cloud computing and medical artificial intelligence can be an ideal approach for the detection and monitoring of diseases, precise therapy, and storage of data over the cloud for supportive decisions. This review focused on the use of machine learning approaches for the development of futuristic CRISPR-biosensors based on microchips and the use of Internet of Things for wireless transmission of signals over the cloud for support decision making. The present review also discussed the discovery of CRISPR, its usage as a gene editing tool, and the CRISPR-based biosensors with high sensitivity of Attomolar (10-18 M), Femtomolar (10-15 M) and Picomolar (10-12 M) in comparison to conventional biosensors with sensitivity of nanomolar 10-9 M and micromolar 10-3 M. Additionally, the review also outlines limitations and open research issues in the current state of CRISPR-based biosensing applications.
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Affiliation(s)
| | - Fadi Al-Turjman
- Department of Artificial Intelligence, Near East University, Nicosia, 10 Mersin, Turkey
| | - Zubaida Sa’id
- Department of Biomedical Engineering, Near East University, Nicosia, 10 Mersin, Turkey
| | - Mehmet Ozsoz
- Department of Biomedical Engineering, Near East University, Nicosia, 10 Mersin, Turkey
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25
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Liu G, Lin Q, Jin S, Gao C. The CRISPR-Cas toolbox and gene editing technologies. Mol Cell 2021; 82:333-347. [PMID: 34968414 DOI: 10.1016/j.molcel.2021.12.002] [Citation(s) in RCA: 132] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 11/04/2021] [Accepted: 12/02/2021] [Indexed: 02/08/2023]
Abstract
The emergence of CRISPR-Cas systems has accelerated the development of gene editing technologies, which are widely used in the life sciences. To improve the performance of these systems, workers have engineered and developed a variety of CRISPR-Cas tools with a broader range of targets, higher efficiency and specificity, and greater precision. Moreover, CRISPR-Cas-related technologies have also been expanded beyond making cuts in DNA by introducing functional elements that permit precise gene modification, control gene expression, make epigenetic changes, and so on. In this review, we introduce and summarize the characteristics and applications of different types of CRISPR-Cas tools. We discuss certain limitations of current approaches and future prospects for optimizing CRISPR-Cas systems.
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Affiliation(s)
- Guanwen Liu
- State Key Laboratory of Plant Cell and Chromosome Engineering, Center for Genome Editing, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Qiupeng Lin
- State Key Laboratory of Plant Cell and Chromosome Engineering, Center for Genome Editing, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Shuai Jin
- State Key Laboratory of Plant Cell and Chromosome Engineering, Center for Genome Editing, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Caixia Gao
- State Key Laboratory of Plant Cell and Chromosome Engineering, Center for Genome Editing, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, China; College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing, China.
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26
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Moyle LA, Davoudi S, Gilbert PM. Innovation in culture systems to study muscle complexity. Exp Cell Res 2021; 411:112966. [PMID: 34906582 DOI: 10.1016/j.yexcr.2021.112966] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 10/31/2021] [Accepted: 12/04/2021] [Indexed: 11/19/2022]
Abstract
Endogenous skeletal muscle development, regeneration, and pathology are extremely complex processes, influenced by local and systemic factors. Unpinning how these mechanisms function is crucial for fundamental biology and to develop therapeutic interventions for genetic disorders, but also conditions like sarcopenia and volumetric muscle loss. Ex vivo skeletal muscle models range from two- and three-dimensional primary cultures of satellite stem cell-derived myoblasts grown alone or in co-culture, to single muscle myofibers, myobundles, and whole tissues. Together, these systems provide the opportunity to gain mechanistic insights of stem cell behavior, cell-cell interactions, and mature muscle function in simplified systems, without confounding variables. Here, we highlight recent advances (published in the last 5 years) using in vitro primary cells and ex vivo skeletal muscle models, and summarize the new insights, tools, datasets, and screening methods they have provided. Finally, we highlight the opportunity for exponential advance of skeletal muscle knowledge, with spatiotemporal resolution, that is offered by guiding the study of muscle biology and physiology with in silico modelling and implementing high-content cell biology systems and ex vivo physiology platforms.
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Affiliation(s)
- Louise A Moyle
- Institute of Biomedical Engineering, Toronto, ON, M5S 3G9, Canada; Donnelly Centre for Cellular and Biomolecular Research, Toronto, ON, M5S 3E1, Canada
| | - Sadegh Davoudi
- Institute of Biomedical Engineering, Toronto, ON, M5S 3G9, Canada; Donnelly Centre for Cellular and Biomolecular Research, Toronto, ON, M5S 3E1, Canada
| | - Penney M Gilbert
- Institute of Biomedical Engineering, Toronto, ON, M5S 3G9, Canada; Donnelly Centre for Cellular and Biomolecular Research, Toronto, ON, M5S 3E1, Canada; Department of Cell and Systems Biology, University of Toronto, Toronto, ON, M5S 1A8, Canada.
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27
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Yao QF, Quan MX, Yang JH, Liu QY, Bu ZQ, Huang WT. Multifunctional Carbon Nanocomposites as Nanoneurons from Multimode and Multianalyte Sensing to Molecular Logic Computing, Steganography, and Cryptography. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2021; 17:e2103983. [PMID: 34668311 DOI: 10.1002/smll.202103983] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 09/04/2021] [Indexed: 06/13/2023]
Abstract
Inspired by information exchange and logic functions of life based on molecular recognition and interaction networks, ongoing efforts are directed toward development of molecular or nanosystems for multiplexed chem/biosensing and advanced information processing. However, because of their preparation shortcomings, poor functionality, and limited paradigms, it is still a big challenge to develop advanced nanomaterials-based systems and comprehensively realize neuron-like functions from multimode sensing to molecular information processing and safety. Herein, using fish scales derived carbon nanoparticles (FSCN) as a reducing agent and stabilizer, a simple one-step synthesis method of multifunctional silver-carbon nanocomposites (AgNPs-FSCN) is developed. The prepared AgNPs-FSCN own wide antibacterial and multisignal response abilities in five channels (including color, Tyndall, absorption and fluorescence intensities, and absorption wavelength) for quantitative colorimetric and fluorescence sensing of H2 O2 , ascorbic acid, and dopamine. Benefiting from its multicoding stimuli-responsive ability, molecular concealment, and programmability, AgNPs-FSCN can be abstracted as nanoneurons for implementing batch and parallel molecular logic computing, steganography, and cryptography. This research will promote the preparation of advanced multifunctional nanocomposites and the development of their multipurpose applications, including the multireadout-guided multianalyte intelligent sensing and sophisticated molecular computing, communication, and security.
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Affiliation(s)
- Qing Feng Yao
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Provincial Key Laboratory of Microbial Molecular Biology, College of Life Science, Hunan Normal University, Changsha, 410081, P. R. China
| | - Min Xia Quan
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Provincial Key Laboratory of Microbial Molecular Biology, College of Life Science, Hunan Normal University, Changsha, 410081, P. R. China
| | - Jin Hua Yang
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Provincial Key Laboratory of Microbial Molecular Biology, College of Life Science, Hunan Normal University, Changsha, 410081, P. R. China
| | - Qing Yu Liu
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Provincial Key Laboratory of Microbial Molecular Biology, College of Life Science, Hunan Normal University, Changsha, 410081, P. R. China
| | - Zhen Qi Bu
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Provincial Key Laboratory of Microbial Molecular Biology, College of Life Science, Hunan Normal University, Changsha, 410081, P. R. China
| | - Wei Tao Huang
- State Key Laboratory of Developmental Biology of Freshwater Fish, Hunan Provincial Key Laboratory of Microbial Molecular Biology, College of Life Science, Hunan Normal University, Changsha, 410081, P. R. China
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28
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Bennet D, Vo‐Dinh T, Zenhausern F. Current and emerging opportunities in biological medium‐based computing and digital data storage. NANO SELECT 2021. [DOI: 10.1002/nano.202100275] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Devasier Bennet
- Center for Applied NanoBioscience and Medicine College of Medicine Phoenix The University of Arizona Phoenix USA
| | - Tuan Vo‐Dinh
- Department of Biomedical Engineering Department of Chemistry Fitzpatrick Institute for Photonics Duke University Durham North Carolina USA
| | - Frederic Zenhausern
- Center for Applied NanoBioscience and Medicine College of Medicine Phoenix The University of Arizona Phoenix USA
- Department of Basic Medical Sciences College of Medicine Phoenix The University of Arizona Phoenix Arizona USA
- Department of Biomedical Engineering; and BIO5 Institute College of Engineering The University of Arizona Tucson Arizona USA
- School of Pharmaceutical Sciences University of Geneva Geneva Switzerland
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29
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Denoth-Lippuner A, Jaeger BN, Liang T, Royall LN, Chie SE, Buthey K, Machado D, Korobeynyk VI, Kruse M, Munz CM, Gerbaulet A, Simons BD, Jessberger S. Visualization of individual cell division history in complex tissues using iCOUNT. Cell Stem Cell 2021; 28:2020-2034.e12. [PMID: 34525348 PMCID: PMC8577829 DOI: 10.1016/j.stem.2021.08.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 06/29/2021] [Accepted: 08/12/2021] [Indexed: 12/26/2022]
Abstract
The division potential of individual stem cells and the molecular consequences of successive rounds of proliferation remain largely unknown. Here, we developed an inducible cell division counter (iCOUNT) that reports cell division events in human and mouse tissues in vitro and in vivo. Analyzing cell division histories of neural stem/progenitor cells (NSPCs) in the developing and adult brain, we show that iCOUNT can provide novel insights into stem cell behavior. Further, we use single-cell RNA sequencing (scRNA-seq) of iCOUNT-labeled NSPCs and their progenies from the developing mouse cortex and forebrain-regionalized human organoids to identify functionally relevant molecular pathways that are commonly regulated between mouse and human cells, depending on individual cell division histories. Thus, we developed a tool to characterize the molecular consequences of repeated cell divisions of stem cells that allows an analysis of the cellular principles underlying tissue formation, homeostasis, and repair.
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Affiliation(s)
- Annina Denoth-Lippuner
- Laboratory of Neural Plasticity, Faculties of Medicine and Science, Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland
| | - Baptiste N Jaeger
- Laboratory of Neural Plasticity, Faculties of Medicine and Science, Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland
| | - Tong Liang
- Laboratory of Neural Plasticity, Faculties of Medicine and Science, Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland
| | - Lars N Royall
- Laboratory of Neural Plasticity, Faculties of Medicine and Science, Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland
| | - Stefanie E Chie
- Laboratory of Neural Plasticity, Faculties of Medicine and Science, Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland
| | - Kilian Buthey
- Laboratory of Neural Plasticity, Faculties of Medicine and Science, Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland
| | - Diana Machado
- Laboratory of Neural Plasticity, Faculties of Medicine and Science, Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland
| | - Vladislav I Korobeynyk
- Laboratory of Neural Plasticity, Faculties of Medicine and Science, Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland
| | - Merit Kruse
- Laboratory of Neural Plasticity, Faculties of Medicine and Science, Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland
| | - Clara M Munz
- Institute for Immunology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
| | - Alexander Gerbaulet
- Institute for Immunology, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany
| | - Benjamin D Simons
- Wellcome Trust-Medical Research Council Stem Cell Institute, University of Cambridge, Cambridge CB2 1QR, UK; The Wellcome Trust/Cancer Research UK Gurdon Institute, University of Cambridge, Cambridge CB2 1QN, UK; Department of Applied Mathematics and Theoretical Physics, Centre for Mathematical Sciences, University of Cambridge, Wilberforce Road, Cambridge CB3 0WA, UK
| | - Sebastian Jessberger
- Laboratory of Neural Plasticity, Faculties of Medicine and Science, Brain Research Institute, University of Zurich, 8057 Zurich, Switzerland.
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30
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Liu X, Zhou X, Li G, Huang S, Sun W, Sun Q, Li L, Huang X, Liu J, Wang L. Editing Properties of Base Editors with SpCas9-NG in Discarded Human Tripronuclear Zygotes. CRISPR J 2021; 4:710-727. [PMID: 34661426 DOI: 10.1089/crispr.2021.0036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
DNA base editors, comprising nucleotide deaminases and catalytically impaired Cas9 nickase, have been widely used in various organisms for the efficient creation of point mutations, providing researchers with powerful tools in precise genome editing. However, they have been limited by the scope of the editing. The discovery and engineering of various CRISPR-Cas systems, especially SpCas9 variants xCas9, Cas9-NG, and Cas9-SpRY, have diversified the range of targetable DNA sequences and expanded the targeting scope of genomic base editing. To understand the editing properties comprehensively, we conducted an analysis of the editing properties of adenine base editors and cytosine base editors with xCas9, Cas9-NG, and Cas9-SpRY at endogenous sites with NGN protospacer adjacent motifs (PAM). Then, human genetic disease-associated DNA point mutations were installed at a single site or at dual sites with NGH PAM using base editors with SpCas9-NG (ABEmax-NG and Anc-BE4max-NG [BEs-NG]) in cultured human cell lines. Finally, the editing properties of BEs-NG in discarded human tripronuclear embryos were characterized. This study investigated the editing properties of DNA base editors with a relaxed PAM requirement and demonstrated the potential of BEs-NG in human genetic disease-related research and treatment.
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Affiliation(s)
- Xinyi Liu
- Agricultural Genome Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, P.R. China; Shanghai, P.R. China.,Department of Gastroenterology, Shenzhen People's Hospital, Shenzhen, P.R. China; Shanghai, P.R. China
| | - Xueliang Zhou
- Department of Reproductive Medicine, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P.R. China; Shanghai, P.R. China
| | - Guanglei Li
- Gene Editing Center, School of Life Science and Technology, ShanghaiTech University, Shanghai, P.R. China; and Shanghai, P.R. China
| | - Shisheng Huang
- Gene Editing Center, School of Life Science and Technology, ShanghaiTech University, Shanghai, P.R. China; and Shanghai, P.R. China
| | - Wenjun Sun
- Gene Editing Center, School of Life Science and Technology, ShanghaiTech University, Shanghai, P.R. China; and Shanghai, P.R. China
| | - Qinhu Sun
- Shanghai R&D Center for Standardization of Chinese Medicines, Shanghai, P.R. China
| | - Lei Li
- Department of Reproductive Medicine, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P.R. China; Shanghai, P.R. China
| | - Xingxu Huang
- Gene Editing Center, School of Life Science and Technology, ShanghaiTech University, Shanghai, P.R. China; and Shanghai, P.R. China
| | - Jianqiao Liu
- Department of Reproductive Medicine, Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, P.R. China; Shanghai, P.R. China
| | - Lisheng Wang
- Department of Gastroenterology, Shenzhen People's Hospital, Shenzhen, P.R. China; Shanghai, P.R. China
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31
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Banal JL, Shepherd TR, Berleant J, Huang H, Reyes M, Ackerman CM, Blainey PC, Bathe M. Random access DNA memory using Boolean search in an archival file storage system. NATURE MATERIALS 2021; 20:1272-1280. [PMID: 34112975 PMCID: PMC8564878 DOI: 10.1038/s41563-021-01021-3] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 04/26/2021] [Indexed: 05/03/2023]
Abstract
DNA is an ultrahigh-density storage medium that could meet exponentially growing worldwide demand for archival data storage if DNA synthesis costs declined sufficiently and if random access of files within exabyte-to-yottabyte-scale DNA data pools were feasible. Here, we demonstrate a path to overcome the second barrier by encapsulating data-encoding DNA file sequences within impervious silica capsules that are surface labelled with single-stranded DNA barcodes. Barcodes are chosen to represent file metadata, enabling selection of sets of files with Boolean logic directly, without use of amplification. We demonstrate random access of image files from a prototypical 2-kilobyte image database using fluorescence sorting with selection sensitivity of one in 106 files, which thereby enables one in 106N selection capability using N optical channels. Our strategy thereby offers a scalable concept for random access of archival files in large-scale molecular datasets.
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Affiliation(s)
- James L Banal
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Tyson R Shepherd
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Joseph Berleant
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | | | - Miguel Reyes
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Paul C Blainey
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Koch Institute for Integrative Cancer Research at MIT, Cambridge, MA, USA
| | - Mark Bathe
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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32
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Nuismer SL, C. Layman N, Redwood AJ, Chan B, Bull JJ. Methods for measuring the evolutionary stability of engineered genomes to improve their longevity. Synth Biol (Oxf) 2021; 6:ysab018. [PMID: 34712842 PMCID: PMC8546616 DOI: 10.1093/synbio/ysab018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 07/05/2021] [Accepted: 07/26/2021] [Indexed: 11/14/2022] Open
Abstract
Diverse applications rely on engineering microbes to carry and express foreign transgenes. This engineered baggage rarely benefits the microbe and is thus prone to rapid evolutionary loss when the microbe is propagated. For applications where a transgene must be maintained for extended periods of growth, slowing the rate of transgene evolution is critical and can be achieved by reducing either the rate of mutation or the strength of selection. Because the benefits realized by changing these quantities will not usually be equal, it is important to know which will yield the greatest improvement to the evolutionary half-life of the engineering. Here, we provide a method for jointly estimating the mutation rate of transgene loss and the strength of selection favoring these transgene-free, revertant individuals. The method requires data from serial transfer experiments in which the frequency of engineered genomes is monitored periodically. Simple mathematical models are developed that use these estimates to predict the half-life of the engineered transgene and provide quantitative predictions for how alterations to mutation and selection will influence longevity. The estimation method and predictive tools have been implemented as an interactive web application, MuSe.
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Affiliation(s)
- Scott L Nuismer
- Department of Biological Sciences, University of Idaho, 875 Perimeter Dr, Moscow, Idaho 83844, USA
- Department of Mathematics, University of Idaho, 875 Perimeter Dr, Moscow, Idaho 83844, USA
| | - Nathan C. Layman
- Department of Biological Sciences, University of Idaho, 875 Perimeter Dr, Moscow, Idaho 83844, USA
| | - Alec J Redwood
- School of Biomedical Sciences, University of Western Australia, Perth, Western Australia, Australia
- The Institute for Respiratory Health, Nedlands, Western Australia, Australia
| | - Baca Chan
- School of Biomedical Sciences, University of Western Australia, Perth, Western Australia, Australia
- The Institute for Respiratory Health, Nedlands, Western Australia, Australia
| | - James J Bull
- Department of Biological Sciences, University of Idaho, 875 Perimeter Dr, Moscow, Idaho 83844, USA
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33
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Efficient retroelement-mediated DNA writing in bacteria. Cell Syst 2021; 12:860-872.e5. [PMID: 34358440 DOI: 10.1016/j.cels.2021.07.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 11/03/2020] [Accepted: 07/09/2021] [Indexed: 10/20/2022]
Abstract
The ability to efficiently and dynamically change information stored in genomes would enable powerful strategies for studying cell biology and controlling cellular phenotypes. Current recombineering-mediated DNA writing platforms in bacteria are limited to specific laboratory conditions, often suffer from suboptimal editing efficiencies, and are not suitable for in situ applications. To overcome these limitations, we engineered a retroelement-mediated DNA writing system that enables efficient and precise editing of bacterial genomes without the requirement for target-specific elements or selection. We demonstrate that this DNA writing platform enables a broad range of applications, including efficient, scarless, and cis-element-independent editing of targeted microbial genomes within complex communities, the high-throughput mapping of spatial information and cellular interactions into DNA memory, and the continuous evolution of cellular traits.
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34
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Guo L, Lu J, Gao C, Zhang L, Liu L, Chen X. Dynamic control of the distribution of carbon flux between cell growth and butyrate biosynthesis in Escherichia coli. Appl Microbiol Biotechnol 2021; 105:5173-5187. [PMID: 34115183 DOI: 10.1007/s00253-021-11385-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 05/05/2021] [Accepted: 06/02/2021] [Indexed: 12/14/2022]
Abstract
Microbial cell factories offer an economic and environmentally friendly method for the biosynthesis of acetyl-CoA-derived chemicals. However, the static control of carbon flux can cause direct and indirect competition for acetyl-CoA between cell growth and chemical biosynthesis, limiting the efficiency of microbial cell factories. Herein, recombinase-based genetic circuits were developed to achieve the optimal distribution of acetyl-CoA between cell growth and butyrate biosynthesis. First, three dynamic devices-a turn-on switch, a turn-off switch, and a recombinase-based inverter (RBI)-were constructed based on Bxb1 recombinase. Then, the turn-on switch was used to dynamically control the butyrate biosynthetic pathway, which directly improved the consumption of acetyl-CoA. Next, the turn-off switch was applied to dynamically control cell growth, which indirectly enhanced the supply of acetyl-CoA. Finally, an RBI was adopted for the dynamic dual control of the distribution of acetyl-CoA between cell growth and butyrate biosynthesis. The final butyrate production rate was increased to 34 g/L, with a productivity of 0.405 g/L/h. The strategy described herein will pave the way for the development of high-performance microbial cell factories for the production of other desirable chemicals. KEY POINTS: • Competition for acetyl-CoA between cell growth and synthesis limits productivity. • Recombinase-based genetic circuits were developed to dynamic control of acetyl-CoA. • Optimal distribution of acetyl-CoA between cell growth and synthesis was achieved.
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Affiliation(s)
- Liang Guo
- State Key Laboratory of Food Science and Technology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, China
- International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, 214122, China
| | - Jiaxin Lu
- School of Biotechnology, Jiangnan University, Wuxi, 214122, China
| | - Cong Gao
- State Key Laboratory of Food Science and Technology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, China
- International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, 214122, China
| | - Linpei Zhang
- School of Biotechnology, Jiangnan University, Wuxi, 214122, China
| | - Liming Liu
- State Key Laboratory of Food Science and Technology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, China
- International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, 214122, China
| | - Xiulai Chen
- State Key Laboratory of Food Science and Technology, Jiangnan University, 1800 Lihu Road, Wuxi, 214122, China.
- International Joint Laboratory on Food Safety, Jiangnan University, Wuxi, 214122, China.
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35
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Bodle JC, Gersbach CA. CRISPR Clocks: The Times They Are a-Changin'. CRISPR J 2021; 4:160-163. [PMID: 33876949 DOI: 10.1089/crispr.2021.29123.ger] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Josephine C Bodle
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
- Center for Advanced Genomic Technologies, Duke University, North Carolina, USA
| | - Charles A Gersbach
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
- Center for Advanced Genomic Technologies, Duke University, North Carolina, USA
- Department of Cell Biology and Duke University Medical Center, Durham, North Carolina, USA
- Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA
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36
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Bhattarai-Kline S, Lear SK, Shipman SL. One-step data storage in cellular DNA. Nat Chem Biol 2021; 17:232-233. [PMID: 33500580 DOI: 10.1038/s41589-021-00737-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Santi Bhattarai-Kline
- Gladstone Institutes and the University of California, San Francisco, San Francisco, CA, USA
| | - Sierra K Lear
- Gladstone Institutes and the University of California, San Francisco, San Francisco, CA, USA
| | - Seth L Shipman
- Gladstone Institutes and the University of California, San Francisco, San Francisco, CA, USA.
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37
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Yim SS, McBee RM, Song AM, Huang Y, Sheth RU, Wang HH. Robust direct digital-to-biological data storage in living cells. Nat Chem Biol 2021; 17:246-253. [PMID: 33432236 PMCID: PMC7904632 DOI: 10.1038/s41589-020-00711-4] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 10/30/2020] [Accepted: 11/12/2020] [Indexed: 02/06/2023]
Abstract
DNA has been the predominant information storage medium for biology and holds great promise as a next-generation high-density data medium in the digital era. Currently, the vast majority of DNA-based data storage approaches rely on in vitro DNA synthesis. As such, there are limited methods to encode digital data into the chromosomes of living cells in a single step. Here, we describe a new electrogenetic framework for direct storage of digital data in living cells. Using an engineered redox-responsive CRISPR adaptation system, we encoded binary data in 3-bit units into CRISPR arrays of bacterial cells by electrical stimulation. We demonstrate multiplex data encoding into barcoded cell populations to yield meaningful information storage and capacity up to 72 bits, which can be maintained over many generations in natural open environments. This work establishes a direct digital-to-biological data storage framework and advances our capacity for information exchange between silicon- and carbon-based entities.
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Affiliation(s)
- Sung Sun Yim
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Ross M McBee
- Department of Systems Biology, Columbia University, New York, NY, USA
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | - Alan M Song
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Yiming Huang
- Department of Systems Biology, Columbia University, New York, NY, USA
- Integrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University, New York, NY, USA
| | - Ravi U Sheth
- Department of Systems Biology, Columbia University, New York, NY, USA
- Integrated Program in Cellular, Molecular, and Biomedical Studies, Columbia University, New York, NY, USA
| | - Harris H Wang
- Department of Systems Biology, Columbia University, New York, NY, USA.
- Department of Pathology and Cell Biology, Columbia University, New York, NY, USA.
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38
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Park J, Lim JM, Jung I, Heo SJ, Park J, Chang Y, Kim HK, Jung D, Yu JH, Min S, Yoon S, Cho SR, Park T, Kim HH. Recording of elapsed time and temporal information about biological events using Cas9. Cell 2021; 184:1047-1063.e23. [PMID: 33539780 DOI: 10.1016/j.cell.2021.01.014] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 12/08/2020] [Accepted: 01/12/2021] [Indexed: 01/14/2023]
Abstract
DNA has not been utilized to record temporal information, although DNA has been used to record biological information and to compute mathematical problems. Here, we found that indel generation by Cas9 and guide RNA can occur at steady rates, in contrast to typical dynamic biological reactions, and the accumulated indel frequency can be a function of time. By measuring indel frequencies, we developed a method for recording and measuring absolute time periods over hours to weeks in mammalian cells. These time-recordings were conducted in several cell types, with different promoters and delivery vectors for Cas9, and in both cultured cells and cells of living mice. As applications, we recorded the duration of chemical exposure and the lengths of elapsed time since the onset of biological events (e.g., heat exposure and inflammation). We propose that our systems could serve as synthetic "DNA clocks."
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Affiliation(s)
- Jihye Park
- Department of Pharmacology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Brain Korea 21 Plus Project for Medical Sciences, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Jung Min Lim
- Department of Pharmacology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Inkyung Jung
- Division of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Department of Biostatistics and Computing, Graduate School, Yonsei University, Seoul 03722, Republic of Korea
| | - Seok-Jae Heo
- Division of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Department of Biostatistics and Computing, Graduate School, Yonsei University, Seoul 03722, Republic of Korea
| | - Jinman Park
- Department of Pharmacology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Brain Korea 21 Plus Project for Medical Sciences, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Yoojin Chang
- Department of Pharmacology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Brain Korea 21 Plus Project for Medical Sciences, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Hui Kwon Kim
- Department of Pharmacology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Brain Korea 21 Plus Project for Medical Sciences, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Dongmin Jung
- Department of Pharmacology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Ji Hea Yu
- Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul 03722, South Korea
| | - Seonwoo Min
- Electrical and Computer Engineering, Seoul National University, Seoul 00826, Republic of Korea
| | - Sungroh Yoon
- Electrical and Computer Engineering, Seoul National University, Seoul 00826, Republic of Korea; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 00826, Republic of Korea; Interdisciplinary Program in Artificial Intelligence, Seoul National University, Seoul 00826, Republic of Korea
| | - Sung-Rae Cho
- Brain Korea 21 Plus Project for Medical Sciences, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Department and Research Institute of Rehabilitation Medicine, Yonsei University College of Medicine, Seoul 03722, South Korea
| | - Taeyoung Park
- Department of Applied Statistics, Yonsei University, Seoul 03722, Republic of Korea; Department of Statistics and Data Science, Yonsei University, Seoul 03722, Republic of Korea
| | - Hyongbum Henry Kim
- Department of Pharmacology, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Brain Korea 21 Plus Project for Medical Sciences, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea; Graduate Program of Nano Biomedical Engineering (NanoBME), Advanced Science Institute, Yonsei University, Seoul, Republic of Korea; Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
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39
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Lim CK, Nirantar S, Yew WS, Poh CL. Novel Modalities in DNA Data Storage. Trends Biotechnol 2021; 39:990-1003. [PMID: 33455842 DOI: 10.1016/j.tibtech.2020.12.008] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 12/14/2020] [Accepted: 12/15/2020] [Indexed: 10/22/2022]
Abstract
The field of storing information in DNA has expanded exponentially. Most common modalities involve encoding information from bits into synthesized nucleotides, storage in liquid or dry media, and decoding via sequencing. However, limitations to this paradigm include the cost of DNA synthesis and sequencing, along with low throughput. Further unresolved questions include the appropriate media of storage and the scalability of such approaches for commercial viability. In this review, we examine various storage modalities involving the use of DNA from a systems-level perspective. We compare novel methods that draw inspiration from molecular biology techniques that have been devised to overcome the difficulties posed by standard workflows and conceptualize potential applications that can arise from these advances.
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Affiliation(s)
- Cheng Kai Lim
- NUS Graduate School of Integrative Sciences and Engineering, National University of Singapore, Singapore 119077, Singapore; NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Centre for Life Sciences, National University of Singapore, Singapore 117456, Singapore
| | | | - Wen Shan Yew
- Department of Biochemistry, Faculty of Medicine, National University of Singapore, Singapore 117597, Singapore; NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Centre for Life Sciences, National University of Singapore, Singapore 117456, Singapore
| | - Chueh Loo Poh
- Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117583, Singapore; NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI), Centre for Life Sciences, National University of Singapore, Singapore 117456, Singapore.
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40
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Royall LN, Jessberger S. How stem cells remember their past. Curr Opin Cell Biol 2021; 69:17-22. [PMID: 33429112 DOI: 10.1016/j.ceb.2020.12.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Revised: 11/26/2020] [Accepted: 12/12/2020] [Indexed: 12/16/2022]
Abstract
Somatic stem cells are required for tissue development, homeostasis, and repair. Recent data suggested that previous biographical experiences of individual stem cells influence their behavior in the context of tissue formation and govern stem cell responses to external stimuli. Here we provide a concise review how a cell's biography, for example, previous rounds of cell divisions or the age-dependent accumulation of cellular damage, is remembered in stem cells and how previous experiences affect the segregation of cellular components, thus guiding cellular behavior in vertebrate stem cells. Further, we suggest future directions of research that may help to unravel the molecular underpinnings of how past experiences guide future cellular behavior.
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Affiliation(s)
- Lars N Royall
- Laboratory of Neural Plasticity, Faculties of Medicine and Science, Brain Research Institute, University of Zurich, 8057, Zurich, Switzerland
| | - Sebastian Jessberger
- Laboratory of Neural Plasticity, Faculties of Medicine and Science, Brain Research Institute, University of Zurich, 8057, Zurich, Switzerland.
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41
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Abdullah, Jiang Z, Hong X, Zhang S, Yao R, Xiao Y. CRISPR base editing and prime editing: DSB and template-free editing systems for bacteria and plants. Synth Syst Biotechnol 2020; 5:277-292. [PMID: 32954022 PMCID: PMC7481536 DOI: 10.1016/j.synbio.2020.08.003] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 08/14/2020] [Accepted: 08/25/2020] [Indexed: 12/20/2022] Open
Abstract
CRISPR-Cas (Clustered Regularly Interspaced Short Palindromic Repeats-CRISPR associated) has been extensively exploited as a genetic tool for genome editing. The RNA guided Cas nucleases generate DNA double-strand break (DSB), triggering cellular repair systems mainly Non-homologous end-joining (NHEJ, imprecise repair) or Homology-directed repair (HDR, precise repair). However, DSB typically leads to unexpected DNA changes and lethality in some organisms. The establishment of bacteria and plants into major bio-production platforms require efficient and precise editing tools. Hence, in this review, we focus on the non-DSB and template-free genome editing, i.e., base editing (BE) and prime editing (PE) in bacteria and plants. We first highlight the development of base and prime editors and summarize their studies in bacteria and plants. We then discuss current and future applications of BE/PE in synthetic biology, crop improvement, evolutionary engineering, and metabolic engineering. Lastly, we critically consider the challenges and prospects of BE/PE in PAM specificity, editing efficiency, off-targeting, sequence specification, and editing window.
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Affiliation(s)
- Abdullah
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Zhengzheng Jiang
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xulin Hong
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Shun Zhang
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Ruilian Yao
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
- Joint International Research Laboratory of Metabolic & Developmental Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Yi Xiao
- State Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
- Joint International Research Laboratory of Metabolic & Developmental Sciences, Shanghai Jiao Tong University, Shanghai, 200240, China
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42
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Zúñiga A, Guiziou S, Mayonove P, Meriem ZB, Camacho M, Moreau V, Ciandrini L, Hersen P, Bonnet J. Rational programming of history-dependent logic in cellular populations. Nat Commun 2020; 11:4758. [PMID: 32958811 PMCID: PMC7506022 DOI: 10.1038/s41467-020-18455-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 07/24/2020] [Indexed: 12/16/2022] Open
Abstract
Genetic programs operating in a history-dependent fashion are ubiquitous in nature and govern sophisticated processes such as development and differentiation. The ability to systematically and predictably encode such programs would advance the engineering of synthetic organisms and ecosystems with rich signal processing abilities. Here we implement robust, scalable history-dependent programs by distributing the computational labor across a cellular population. Our design is based on standardized recombinase-driven DNA scaffolds expressing different genes according to the order of occurrence of inputs. These multicellular computing systems are highly modular, do not require cell-cell communication channels, and any program can be built by differential composition of strains containing well-characterized logic scaffolds. We developed automated workflows that researchers can use to streamline program design and optimization. We anticipate that the history-dependent programs presented here will support many applications using cellular populations for material engineering, biomanufacturing and healthcare.
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Affiliation(s)
- Ana Zúñiga
- Centre de Biochimie Structurale (CBS), INSERM U154, CNRS UMR5048, University of Montpellier, Montpellier, France
| | - Sarah Guiziou
- Centre de Biochimie Structurale (CBS), INSERM U154, CNRS UMR5048, University of Montpellier, Montpellier, France
- Department of Biology, University of Washington, Seattle, WA, 98195, USA
| | - Pauline Mayonove
- Centre de Biochimie Structurale (CBS), INSERM U154, CNRS UMR5048, University of Montpellier, Montpellier, France
| | - Zachary Ben Meriem
- Laboratoire Matière et Systèmes Complexes, UMR 7057 CNRS & Université Paris Diderot, 10 rue Alice Domon et Léonie Duquet, 75013, Paris, France
| | - Miguel Camacho
- Centre de Biochimie Structurale (CBS), INSERM U154, CNRS UMR5048, University of Montpellier, Montpellier, France
| | - Violaine Moreau
- Centre de Biochimie Structurale (CBS), INSERM U154, CNRS UMR5048, University of Montpellier, Montpellier, France
| | - Luca Ciandrini
- Centre de Biochimie Structurale (CBS), INSERM U154, CNRS UMR5048, University of Montpellier, Montpellier, France
- Laboratoire Charles Coulomb (L2C), University of Montpellier & CNRS, Montpellier, France
| | - Pascal Hersen
- Laboratoire Matière et Systèmes Complexes, UMR 7057 CNRS & Université Paris Diderot, 10 rue Alice Domon et Léonie Duquet, 75013, Paris, France
- Laboratoire Physico Chimie Curie, UMR168, Institut Curie, Paris, France
| | - Jerome Bonnet
- Centre de Biochimie Structurale (CBS), INSERM U154, CNRS UMR5048, University of Montpellier, Montpellier, France.
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43
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Zou ZP, Ye BC. Long-Term Rewritable Report and Recording of Environmental Stimuli in Engineered Bacterial Populations. ACS Synth Biol 2020; 9:2440-2449. [PMID: 32794765 DOI: 10.1021/acssynbio.0c00193] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
DNA writing (living sensing recorders) based whole-cell biosensors can capture transient signals and then convert them into readable genomic DNA changes. The primitive signals can be easily obtained by sequencing technology or analysis of protein activity (such as fluorescent protein). However, the functions of the current living sensing recorders still need to be expanded, and the difficulty of rewriting in complex biological environments has further limited their applications. In this study, we designed a long-term rewritable recording system using a CRISPR base editor-based synthetic genetic circuit, named CRISPR-istop. This system can convert stimuli into changes in the fluorescence intensity (reporter) and single-base mutations in genomic DNA (recording). Furthermore, we updated the biological circuit through the strategy of coupling the single-base mutation (record site) and the loss-of-function of the targeted protein (translation stopped by stop codon introduction), and we can remove edited bacteria from a population through selective sweeps upon applying a selective pressure. It successfully conducted the rewritable reporter and recording of the nutrient arabinose and pollutant arsenite with two rounds of continuous operation (10 passages/round, 12 h/passage). These observations indicated that the CRISPR-istop system can report and record stimuli over time; moreover, the recording can be manually erased and rewritten as needed. This method has great potential to be extended to more complicated recording systems to execute sophisticated tasks in inaccessible environments for synthetic biology and biomedical applications, such as monitoring disease-relevant physiological markers or other molecules.
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Affiliation(s)
- Zhen-Ping Zou
- Laboratory of Biosystems and Microanalysis, Institute of Engineering Biology and Health, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
| | - Bang-Ce Ye
- Laboratory of Biosystems and Microanalysis, Institute of Engineering Biology and Health, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China
- Institute of Engineering Biology and Health, Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, China
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44
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Abstract
The ability to detect disease early and deliver precision therapy would be transformative for the treatment of human illnesses. To achieve these goals, biosensors that can pinpoint when and where diseases emerge are needed. Rapid advances in synthetic biology are enabling us to exploit the information-processing abilities of living cells to diagnose disease and then treat it in a controlled fashion. For example, living sensors could be designed to precisely sense disease biomarkers, such as by-products of inflammation, and to respond by delivering targeted therapeutics in situ. Here, we provide an overview of ongoing efforts in microbial biosensor design, highlight translational opportunities, and discuss challenges for enabling sense-and-respond precision medicines.
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Affiliation(s)
- Maria Eugenia Inda
- MIT Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
- Research Laboratory of Electronics, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Timothy K. Lu
- MIT Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
- Research Laboratory of Electronics, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
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45
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Reinforcement learning in synthetic gene circuits. Biochem Soc Trans 2020; 48:1637-1643. [PMID: 32756895 DOI: 10.1042/bst20200008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/06/2020] [Accepted: 07/08/2020] [Indexed: 01/15/2023]
Abstract
Synthetic gene circuits allow programming in DNA the expression of a phenotype at a given environmental condition. The recent integration of memory systems with gene circuits opens the door to their adaptation to new conditions and their re-programming. This lays the foundation to emulate neuromorphic behaviour and solve complex problems similarly to artificial neural networks. Cellular products such as DNA or proteins can be used to store memory in both digital and analog formats, allowing cells to be turned into living computing devices able to record information regarding their previous states. In particular, synthetic gene circuits with memory can be engineered into living systems to allow their adaptation through reinforcement learning. The development of gene circuits able to adapt through reinforcement learning moves Sciences towards the ambitious goal: the bottom-up creation of a fully fledged living artificial intelligence.
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46
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Developing a population-state decision system for intelligently reprogramming extracellular electron transfer in Shewanella oneidensis. Proc Natl Acad Sci U S A 2020; 117:23001-23010. [PMID: 32855303 PMCID: PMC7502708 DOI: 10.1073/pnas.2006534117] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
The unique extracellular electron transfer (EET) ability has positioned electroactive bacteria (EAB) as a major class of cellular chassis for genetic engineering aimed at favorable environmental, energy, and geoscience applications. However, previous efforts to genetically enhance EET ability have often impaired the basal metabolism and cellular growth due to the competition for the limited cellular resource. Here, we design a quorum sensing-based population-state decision (PSD) system for intelligently reprogramming the EET regulation system, which allows the rebalanced allocation of the cellular resource upon the bacterial growth state. We demonstrate that the electron output from Shewanella oneidensis MR-1 could be greatly enhanced by the PSD system via shifting the dominant metabolic flux from initial bacterial growth to subsequent EET enhancement (i.e., after reaching a certain population-state threshold). The strain engineered with this system achieved up to 4.8-fold EET enhancement and exhibited a substantially improved pollutant reduction ability, increasing the reduction efficiencies of methyl orange and hexavalent chromium by 18.8- and 5.5-fold, respectively. Moreover, the PSD system outcompeted the constant expression system in managing EET enhancement, resulting in considerably enhanced electron output and pollutant bioreduction capability. The PSD system provides a powerful tool for intelligently managing extracellular electron transfer and may inspire the development of new-generation smart bioelectrical devices for various applications.
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47
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Guzella TS, Barreto VM, Carneiro J. Partitioning stable and unstable expression level variation in cell populations: A theoretical framework and its application to the T cell receptor. PLoS Comput Biol 2020; 16:e1007910. [PMID: 32841238 PMCID: PMC7498022 DOI: 10.1371/journal.pcbi.1007910] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 09/17/2020] [Accepted: 04/24/2020] [Indexed: 11/19/2022] Open
Abstract
Phenotypic variation in the copy number of gene products expressed by cells or tissues has been the focus of intense investigation. To what extent the observed differences in cellular expression levels are persistent or transient is an intriguing question. Here, we develop a quantitative framework that resolves the expression variation into stable and unstable components. The difference between the expression means in two cohorts isolated from any cell population is shown to converge to an asymptotic value, with a characteristic time, τT, that measures the timescale of the unstable dynamics. The asymptotic difference in the means, relative to the initial value, measures the stable proportion of the original population variance Rα2. Empowered by this insight, we analysed the T-cell receptor (TCR) expression variation in CD4 T cells. About 70% of TCR expression variance is stable in a diverse polyclonal population, while over 80% of the variance in an isogenic TCR transgenic population is volatile. In both populations the TCR levels fluctuate with a characteristic time of 32 hours. This systematic characterisation of the expression variation dynamics, relying on time series of cohorts’ means, can be combined with technologies that measure gene or protein expression in single cells or in bulk. No two cells are identical. Even isogenic cells, living in the same environment and expressing the same set of genes display measurable differences or variation in the expression level of any of these genes. How much of the differences in expression levels are permanent and how much of these differences vanish in time has intrigued us for generations. We develop a theoretical framework based on a stochastic model and put it to work in the analysis of T cell receptor expression level in CD4 T cells. We show that T cell populations with genetically diverse receptors display stable variation in receptor expression but, surprisingly, we detect persistent differences in receptor levels among uniform transgenic T cells. The analysis, being based on the mean cohort expression levels logarithm, can be applied to techniques that measure expression at single-cell level and also to the myriad of genomics and proteomics techniques that measure expression in bulk populations.
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Affiliation(s)
| | - Vasco M. Barreto
- CEDOC - Chronic Diseases Research Center, NOVA Medical School, Universidade Nova de Lisboa, Lisboa, Portugal
- * E-mail: (VMB); (JC)
| | - Jorge Carneiro
- Instituto Gulbenkian de Ciência, Oeiras, Portugal
- * E-mail: (VMB); (JC)
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48
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Billon P, Nambiar TS, Hayward SB, Zafra MP, Schatoff EM, Oshima K, Dunbar A, Breinig M, Park YC, Ryu HS, Tschaharganeh DF, Levine RL, Baer R, Ferrando A, Dow LE, Ciccia A. Detection of Marker-Free Precision Genome Editing and Genetic Variation through the Capture of Genomic Signatures. Cell Rep 2020; 30:3280-3295.e6. [PMID: 32160537 PMCID: PMC7108696 DOI: 10.1016/j.celrep.2020.02.068] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 01/13/2020] [Accepted: 02/14/2020] [Indexed: 10/29/2022] Open
Abstract
Genome editing technologies have transformed our ability to engineer desired genomic changes within living systems. However, detecting precise genomic modifications often requires sophisticated, expensive, and time-consuming experimental approaches. Here, we describe DTECT (Dinucleotide signaTurE CapTure), a rapid and versatile detection method that relies on the capture of targeted dinucleotide signatures resulting from the digestion of genomic DNA amplicons by the type IIS restriction enzyme AcuI. DTECT enables the accurate quantification of marker-free precision genome editing events introduced by CRISPR-dependent homology-directed repair, base editing, or prime editing in various biological systems, such as mammalian cell lines, organoids, and tissues. Furthermore, DTECT allows the identification of oncogenic mutations in cancer mouse models, patient-derived xenografts, and human cancer patient samples. The ease, speed, and cost efficiency by which DTECT identifies genomic signatures should facilitate the generation of marker-free cellular and animal models of human disease and expedite the detection of human pathogenic variants.
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Affiliation(s)
- Pierre Billon
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Tarun S Nambiar
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Samuel B Hayward
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Maria P Zafra
- Sandra and Edward Meyer Cancer Center, Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Emma M Schatoff
- Sandra and Edward Meyer Cancer Center, Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA; Weill Cornell/Rockefeller/Sloan Kettering Tri-Institutional MD-PhD Program, New York, NY 10065, USA
| | - Koichi Oshima
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA; Institute for Cancer Genetics, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Andrew Dunbar
- Human Oncology and Pathogenesis Program, Center for Hematological Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Marco Breinig
- Helmholtz-University Group "Cell Plasticity and Epigenetic Remodeling", German Cancer Research Center (DKFZ) and Institute of Pathology University Hospital, 69120 Heidelberg, Germany
| | - Young C Park
- Human Oncology and Pathogenesis Program, Center for Hematological Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Han S Ryu
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Darjus F Tschaharganeh
- Helmholtz-University Group "Cell Plasticity and Epigenetic Remodeling", German Cancer Research Center (DKFZ) and Institute of Pathology University Hospital, 69120 Heidelberg, Germany
| | - Ross L Levine
- Human Oncology and Pathogenesis Program, Center for Hematological Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Richard Baer
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA; Institute for Cancer Genetics, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Adolfo Ferrando
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY 10032, USA; Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA; Institute for Cancer Genetics, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Lukas E Dow
- Sandra and Edward Meyer Cancer Center, Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Alberto Ciccia
- Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY 10032, USA; Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA.
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49
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Phelps M. Increasing eDNA capabilities with CRISPR technology for real-time monitoring of ecosystem biodiversity. Mol Ecol Resour 2020; 19:1103-1105. [PMID: 31560843 DOI: 10.1111/1755-0998.13084] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 07/25/2019] [Accepted: 07/26/2019] [Indexed: 12/26/2022]
Abstract
The accelerating pace of scientific discovery is being driven by the development of transformative technologies that are expanding traditional scientific boundaries. In ecology, the concept that ecosystem structure can be monitored through the stew of genetic material released into the environment by local organisms is now a highly active area of research. At the same time that the use of environmental DNA (eDNA) has gained popularity in ecology, CRISPR genome editing technology has been revolutionizing organismal biology and the biomedical sciences. In a From the Cover article in this issue of Molecular Ecology Resources, Williams et al. (2019) report about the fusion of CRISPR technology with molecular ecology to improve the in situ processing capabilities of eDNA applications. Piloting this new CRISPR technology on aquatic systems, the authors describe tools to accurately identify the presence of Atlantic salmon (Salmo salar) from eDNA, using conditions that are highly amenable to implementation in the field. This overcomes a major barrier restricting the use of eDNA, opening a door to expanded use of the technology in ecological research.
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Affiliation(s)
- Michael Phelps
- Department of Animal Sciences, Washington State University, VBRB, Pullman, WA, USA
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Phelps MP, Seeb LW, Seeb JE. Transforming ecology and conservation biology through genome editing. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2020; 34:54-65. [PMID: 30693970 DOI: 10.1111/cobi.13292] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2018] [Revised: 12/23/2018] [Accepted: 01/24/2019] [Indexed: 06/09/2023]
Abstract
As the conservation challenges increase, new approaches are needed to help combat losses in biodiversity and slow or reverse the decline of threatened species. Genome-editing technology is changing the face of modern biology, facilitating applications that were unimaginable only a decade ago. The technology has the potential to make significant contributions to the fields of evolutionary biology, ecology, and conservation, yet the fear of unintended consequences from designer ecosystems containing engineered organisms has stifled innovation. To overcome this gap in the understanding of what genome editing is and what its capabilities are, more research is needed to translate genome-editing discoveries into tools for ecological research. Emerging and future genome-editing technologies include new clustered regularly interspaced short palindromic repeats (CRISPR) targeted sequencing and nucleic acid detection approaches as well as species genetic barcoding and somatic genome-editing technologies. These genome-editing tools have the potential to transform the environmental sciences by providing new noninvasive methods for monitoring threatened species or for enhancing critical adaptive traits. A pioneering effort by the conservation community is required to apply these technologies to real-world conservation problems.
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Affiliation(s)
- Michael P Phelps
- Department of Pathology, University of Washington, Box 357705, Seattle, WA, 98195, U.S.A
| | - Lisa W Seeb
- School of Aquatic and Fisheries Sciences, University of Washington, Seattle, WA, 98195, U.S.A
| | - James E Seeb
- School of Aquatic and Fisheries Sciences, University of Washington, Seattle, WA, 98195, U.S.A
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