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Liu Y, Liu S, Sheng H, Feng X, Wang S, Hu Y, Zhang L, Cai B, Ma Y. Revolutionizing cattle breeding: Gene editing advancements for enhancing economic traits. Gene 2024; 927:148595. [PMID: 38795857 DOI: 10.1016/j.gene.2024.148595] [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: 02/28/2024] [Revised: 05/15/2024] [Accepted: 05/20/2024] [Indexed: 05/28/2024]
Abstract
Beef and dairy products are rich in protein and amino acids, making them highly nutritious for human consumption. The increasing use of gene editing technology in agriculture has paved the way for genetic improvement in cattle breeding via the development of the CRISPR/Cas (clustered regularly interspaced short palindromic repeats/CRISPR-associated protein) system. Gene sequences are artificially altered and employed in the pursuit of improving bovine breeding research through targeted knockout, knock-in, substitution, and mutation methods. This review offers a comprehensive analysis of the advancements in gene editing technology and its diverse applications in enhancing both quantitative and qualitative traits across livestock. These applications encompass areas such as meat quality, milk quality, fertility, disease resistance, environmental adaptability, sex control, horn development, and coat colour. Furthermore, the review considers prospective ideas and insights that may be employed to refine breeding traits, enhance editing efficiency, and navigate the ethical considerations associated with these advancements. The review's focus on improving the quality of beef and milk is intended to enhance the economic viability of these products. Furthermore, it constitutes a valuable resource for scholars and researchers engaged in the fields of cattle genetic improvement and breeding.
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Affiliation(s)
- Yuan Liu
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Shuang Liu
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Hui Sheng
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Xue Feng
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Shuzhe Wang
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Yamei Hu
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Lingkai Zhang
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
| | - Bei Cai
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China
| | - Yun Ma
- College of Animal Science and Technology, Ningxia University, Yinchuan 750021, China; Key Laboratory of Ruminant Molecular and Cellular Breeding of Ningxia Hui Autonomous Region, Ningxia University, Yinchuan 750021, China.
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Zhang X, Li P, Gan Y, Xiang S, Gu L, Zhou J, Zhou X, Wu P, Zhang B, Deng D. Driving effect of P16 methylation on telomerase reverse transcriptase-mediated immortalization and transformation of normal human fibroblasts. Chin Med J (Engl) 2024:00029330-990000000-00975. [PMID: 38420748 DOI: 10.1097/cm9.0000000000003004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND P16 inactivation is frequently accompanied by telomerase reverse transcriptase (TERT) amplification in human cancer genomes. P16 inactivation by DNA methylation often occurs automatically during immortalization of normal cells by TERT. However, direct evidence remains to be obtained to support the causal effect of epigenetic changes, such as P16 methylation, on cancer development. This study aimed to provide experimental evidence that P16 methylation directly drives cancer development. METHODS A zinc finger protein-based P16-specific DNA methyltransferase (P16-Dnmt) vector containing a "Tet-On" switch was used to induce extensive methylation of P16 CpG islands in normal human fibroblast CCD-18Co cells. Battery assays were used to evaluate cell immortalization and transformation throughout their lifespan. Cell subcloning and DNA barcoding were used to track the diversity of cell evolution. RESULTS Leaking P16-Dnmt expression (without doxycycline-induction) could specifically inactivate P16 expression by DNA methylation. P16 methylation only promoted proliferation and prolonged lifespan but did not induce immortalization of CCD-18Co cells. Notably, cell immortalization, loss of contact inhibition, and anchorage-independent growth were always prevalent in P16-Dnmt&TERT cells, indicating cell transformation. In contrast, almost all TERT cells died in the replicative crisis. Only a few TERT cells recovered from the crisis, in which spontaneous P16 inactivation by DNA methylation occurred. Furthermore, the subclone formation capacity of P16-Dnmt&TERT cells was two-fold that of TERT cells. DNA barcoding analysis showed that the diversity of the P16-Dnmt&TERT cell population was much greater than that of the TERT cell population. CONCLUSION P16 methylation drives TERT-mediated immortalization and transformation of normal human cells that may contribute to cancer development.
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Affiliation(s)
- Xuehong Zhang
- Key Laboratory of Carcinogenesis and Translational Research (MOE/Beijing), Division of Etiology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Paiyun Li
- Division of Etiology, Beijing Cancer Hospital, Beijing 100142, China
- Radiation Oncology Department, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Ying Gan
- Key Laboratory of Carcinogenesis and Translational Research (MOE/Beijing), Division of Etiology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Shengyan Xiang
- Key Laboratory of Carcinogenesis and Translational Research (MOE/Beijing), Division of Etiology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Liankun Gu
- Key Laboratory of Carcinogenesis and Translational Research (MOE/Beijing), Division of Etiology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Jing Zhou
- Key Laboratory of Carcinogenesis and Translational Research (MOE/Beijing), Division of Etiology, Peking University Cancer Hospital and Institute, Beijing 100142, China
| | - Xiaorui Zhou
- Department of Biomedical Engineering, Peking University Cancer Hospital and Institute, Beijing 100871, China
| | - Peihuang Wu
- Department of Biomedical Engineering, Peking University Cancer Hospital and Institute, Beijing 100871, China
| | - Baozhen Zhang
- Key Laboratory of Carcinogenesis and Translational Research (MOE/Beijing), Division of Etiology, Peking University Cancer Hospital and Institute, Beijing 100142, China
- Division of Etiology, Beijing Cancer Hospital, Beijing 100142, China
| | - Dajun Deng
- Key Laboratory of Carcinogenesis and Translational Research (MOE/Beijing), Division of Etiology, Peking University Cancer Hospital and Institute, Beijing 100142, China
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Wang K, Perera BPU, Morgan RK, Sala-Hamrick K, Geron V, Svoboda LK, Faulk C, Dolinoy DC, Sartor MA. piOxi database: a web resource of germline and somatic tissue piRNAs identified by chemical oxidation. Database (Oxford) 2024; 2024:baad096. [PMID: 38204359 PMCID: PMC10782149 DOI: 10.1093/database/baad096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 11/27/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024]
Abstract
PIWI-interacting RNAs (piRNAs) are a class of small non-coding RNAs that are highly expressed and extensively studied from the germline. piRNAs associate with PIWI proteins to maintain DNA methylation for transposon silencing and transcriptional gene regulation for genomic stability. Mature germline piRNAs have distinct characteristics including a 24- to 32-nucleotide length and a 2'-O-methylation signature at the 3' end. Although recent studies have identified piRNAs in somatic tissues, they remain poorly characterized. For example, we recently demonstrated notable expression of piRNA in the murine soma, and while overall expression was lower than that of the germline, unique characteristics suggested tissue-specific functions of this class. While currently available databases commonly use length and association with PIWI proteins to identify piRNA, few have included a chemical oxidation method that detects piRNA based on its 3' modification. This method leads to reproducible and rigorous data processing when coupled with next-generation sequencing and bioinformatics analysis. Here, we introduce piOxi DB, a user-friendly web resource that provides a comprehensive analysis of piRNA, generated exclusively through sodium periodate treatment of small RNA. The current version of piOxi DB includes 435 749 germline and 9828 somatic piRNA sequences robustly identified from M. musculus, M. fascicularis and H. sapiens. The database provides species- and tissue-specific data that are further analyzed according to chromosome location and correspondence to gene and repetitive elements. piOxi DB is an informative tool to assist broad research applications in the fields of RNA biology, cancer biology, environmental toxicology and beyond. Database URL: https://pioxidb.dcmb.med.umich.edu/.
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Affiliation(s)
| | - Bambarendage P U Perera
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA
| | - Rachel K Morgan
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA
| | - Kimberley Sala-Hamrick
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA
| | - Viviana Geron
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA
| | - Laurie K Svoboda
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA
- Department of Pharmacology, School of Medicine, University of Michigan, 1150 W. Medical Center Drive, Ann Arbor, MI 48109, USA
| | - Christopher Faulk
- Department of Animal Science, College of Food, Agricultural and Natural Resource Sciences, University of Minnesota, 1988 Fitch Avenue, Saint Paul, MN 55108, USA
| | - Dana C Dolinoy
- Department of Environmental Health Sciences, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA
- Department of Nutritional Sciences, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA
- Department of Computational Medicine and Bioinformatics, School of Medicine, University of Michigan, 100 Washtenaw Ave, Ann Arbor, MI 48109, USA
| | - Maureen A Sartor
- Department of Computational Medicine and Bioinformatics, School of Medicine, University of Michigan, 100 Washtenaw Ave, Ann Arbor, MI 48109, USA
- Department of Biostatistics, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI 48109, USA
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Taverna S, Masucci A, Cammarata G. PIWI-RNAs Small Noncoding RNAs with Smart Functions: Potential Theranostic Applications in Cancer. Cancers (Basel) 2023; 15:3912. [PMID: 37568728 PMCID: PMC10417041 DOI: 10.3390/cancers15153912] [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: 06/23/2023] [Revised: 07/26/2023] [Accepted: 07/27/2023] [Indexed: 08/13/2023] Open
Abstract
P-element-induced wimpy testis (PIWI)-interacting RNAs (piRNAs) are a new class of small noncoding RNAs (ncRNAs) that bind components of the PIWI protein family. piRNAs are specifically expressed in different human tissues and regulate important signaling pathways. Aberrant expressions of piRNAs and PIWI proteins have been associated with tumorigenesis and cancer progression. Recent studies reported that piRNAs are contained in extracellular vesicles (EVs), nanosized lipid particles, with key roles in cell-cell communication. EVs contain several bioactive molecules, such as proteins, lipids, and nucleic acids, including emerging ncRNAs. EVs are one of the components of liquid biopsy (LB) a non-invasive method for detecting specific molecular biomarkers in liquid samples. LB could become a crucial tool for cancer diagnosis with piRNAs as biomarkers in a precision oncology approach. This review summarizes the current findings on the roles of piRNAs in different cancer types, focusing on potential theranostic applications of piRNAs contained in EVs (EV-piRNAs). Their roles as non-invasive diagnostic and prognostic biomarkers and as new therapeutic options have been also discussed.
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Affiliation(s)
- Simona Taverna
- Institute of Translational Pharmacology (IFT), National Research Council (CNR), 90146 Palermo, Italy
| | - Anna Masucci
- Department of Biomedicine, Neurosciences and Advanced Diagnostics, Institute of Clinical Biochemistry, Clinical Molecular Medicine, Laboratory Medicine, University of Palermo, 90127 Palermo, Italy;
| | - Giuseppe Cammarata
- Institute of Translational Pharmacology (IFT), National Research Council (CNR), 90146 Palermo, Italy
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Colwell ML, Townsel C, Petroff RL, Goodrich JM, Dolinoy DC. Epigenetics and the Exposome: DNA Methylation as a Proxy for Health Impacts of Prenatal Environmental Exposures. EXPOSOME 2023; 3:osad001. [PMID: 37333730 PMCID: PMC10275510 DOI: 10.1093/exposome/osad001] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
The accumulation of every day exposures can impact health across the life course, but our understanding of such exposures is impeded by our ability to delineate the relationship between an individual's early life exposome and later life health effects. Measuring the exposome is challenging. Exposure assessed at a given time point captures a snapshot of the exposome but does not represent the full spectrum of exposures across the life course. In addition, the assessment of early life exposures and their effects is often further challenged by lack of relevant samples and the time gap between exposures and related health outcomes in later life. Epigenetics, specifically DNA methylation, has the potential to overcome these barriers as environmental epigenetic perturbances can be retained through time. In this review, we describe how DNA methylation can be framed in the world of the exposome. We offer three compelling examples of common environmental exposures, including cigarette smoke, the endocrine active compound bisphenol A (BPA), and the metal lead (Pb), to illustrate the application of DNA methylation as a proxy to measure the exposome. We discuss areas for future explorations and current limitations of this approach. Epigenetic profiling is a promising and rapidly developing tool and field of study, offering us a unique and powerful way to assess the early life exposome and its effects across different life stages.
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Affiliation(s)
- Mathia L. Colwell
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Courtney Townsel
- Department of Obstetrics and Gynecology, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Rebekah L. Petroff
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jaclyn M. Goodrich
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Dana C. Dolinoy
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
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