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Journal articles on the topic 'Genetics engineering'

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Author: Grafiati

Published: 26 July 2024

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1

Sprenger, G. A., M. A. Typas, and C. Drainas. "Genetics and genetic engineering ofZymomonas mobilis." World Journal of Microbiology & Biotechnology 9, no. 1 (January 1993): 17–24. http://dx.doi.org/10.1007/bf00656509.

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2

Kuchuk, N. V. "Cell genetic engineering: Transmission genetics of plants." Cytology and Genetics 51, no. 2 (March 2017): 103–7. http://dx.doi.org/10.3103/s0095452717020062.

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3

Womack, James E. "Genetic engineering in agriculture: animal genetics and development." Trends in Genetics 3 (January 1987): 65–68. http://dx.doi.org/10.1016/0168-9525(87)90177-6.

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4

KU, In-Hoe. "Ethical Problems of Genetic Engineering and Responsibilities of Geneticists." Korean Journal of Medical Ethics 3, no. 2 (November 2000): 183–97. http://dx.doi.org/10.35301/ksme.2000.3.2.183.

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The development of molecular genetics has provided tools not only for the diagnosis of genetic diseases and disease dispositions in affected individuals, but also for the detection of healthy carriers of recessive hereditary traits. The growth in DNA data banks threatens individual privacy, as competing private medical and life insurance companies already do. With a growing number of diseases we can expect more cases of exclusion unless anti-discrimination laws for insurance companies are introduced. Social policy must decide how to preserve privacy and prevent discrimination by employers and insurance companies. A geneticist has a very responsible position in processes and sequences of genetics developments, therefore he must warn against inappropriate use by uninformed public.

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5

Harvey, J. "Genetic Engineering." Journal of Medical Genetics 30, no. 8 (August 1, 1993): 711–12. http://dx.doi.org/10.1136/jmg.30.8.711-b.

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6

Little, Peter. "Genetic engineering." Trends in Genetics 5 (1989): 198. http://dx.doi.org/10.1016/0168-9525(89)90078-4.

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7

Dorin, Julia R. "Genetic engineering." Trends in Genetics 9, no. 9 (September 1993): 327. http://dx.doi.org/10.1016/0168-9525(93)90254-f.

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8

Tangngareng, Tasmim, Irwan Abdullah, Rahman Rahman, and Sawaluddin Sawaluddin. "THE CONSTRUCTION OF HADITH ADDRESSING GENETIC ENGINEERING OF HUMANS." Jurnal Ilmiah Islam Futura 23, no. 1 (June 21, 2023): 20. http://dx.doi.org/10.22373/jiif.v23i1.14716.

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This paper explores positions of hadith and ethics in discussing the genetic engineering of humans by departing from the following questions: a) how do hadith contribute to constructing various aspects of human genetics? b) how did the social context around Prophet Muhammad affect the construction of the hadith? c) how do hadith addressing human genetics relate to scientific development? This paper reveals that the ethics and process of genetic engineering are prescribed in the hadith, illuminating the contextual debates of its time. Issues of genetics that arise in the discourse of human existence, particularly regarding sex and skin color, show a contestation of values related to the position of genetic factors as undeniable. Scientific development provides answers to the increasingly complex and contestatory discourse on genetics and necessitates a paradigm shift in the Muslim community, which often places hadith as a believed and practiced textual truth

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9

Shapiro, James A. "LettingEscherichia coliTeach Me About Genome Engineering." Genetics 183, no. 4 (December 2009): 1205–14. http://dx.doi.org/10.1534/genetics.109.110007.

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10

Carroll, Dana. "Genome Engineering With Zinc-Finger Nucleases." Genetics 188, no. 4 (August 2011): 773–82. http://dx.doi.org/10.1534/genetics.111.131433.

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11

Frederickson, Robert. "Chemical genetics and tissue engineering." Nature Biotechnology 18, no. 3 (March 2000): 250. http://dx.doi.org/10.1038/73639.

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12

Malcolm, S. "Genetic Engineering 7." Journal of Medical Genetics 27, no. 5 (May 1, 1990): 341. http://dx.doi.org/10.1136/jmg.27.5.341-a.

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13

Nusse, R. "Genetic Engineering 5." Trends in Genetics 3 (January 1987): 29. http://dx.doi.org/10.1016/0168-9525(87)90161-2.

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14

Teriyapirom, Isaree, Andreia S. Batista-Rocha, and Bon-Kyoung Koo. "Genetic engineering in organoids." Journal of Molecular Medicine 99, no. 4 (January 18, 2021): 555–68. http://dx.doi.org/10.1007/s00109-020-02029-z.

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AbstractThree-dimensional organoids have been widely used for developmental and disease modeling. Organoids are derived from both adult and pluripotent stem cells. Various types are available for mimicking almost all major organs and tissues in the mouse and human. While culture protocols for stepwise differentiation and long-term expansion are well established, methods for genetic manipulation in organoids still need further standardization. In this review, we summarized different methods for organoid genetics and provide the pros and cons of each method for designing an optimal strategy.

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15

Golic, Kent G., and Mary M. Golic. "Engineering the Drosophila Genome: Chromosome Rearrangements by Design." Genetics 144, no. 4 (December 1, 1996): 1693–711. http://dx.doi.org/10.1093/genetics/144.4.1693.

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We show that site-specific recombination can be used to engineer chromosome rearrangements in Drosophila melanogaster. The FLP site-specific recombinase acts on chromosomal target sites located within specially constructed P elements to provide an easy screen for the recovery of rearrangements with breakpoints that can be chosen in advance. Paracentric and pericentric inversions are easily recovered when two elements lie in the same chromosome in opposite orientation. These inversions are readily reversible. Duplications and deficiencies can be recovered by recombination between two elements that lie in the same orientation on the same chromosome or on homologues. We observe that the frequency of recombination between FRTs at ectopic locations decreases as the distance that separates those FRTs increases. We also describe methods to determine the absolute orientation of these P elements within the chromosome. The ability to produce chromosome rearrangements precisely between preselected sites provides a powerful new tool for investigations into the relationships between chromosome arrangement, structure, and function.

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16

Cherbas, Lucy, Jennifer Hackney, Lei Gong, Claire Salzer, Eric Mauser, Dayu Zhang, and Peter Cherbas. "Tools for Targeted Genome Engineering of EstablishedDrosophilaCell Lines." Genetics 201, no. 4 (October 8, 2015): 1307–18. http://dx.doi.org/10.1534/genetics.115.181610.

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17

Dickinson, D. J., and B. Goldstein. "CRISPR-Based Methods for Caenorhabditis elegans Genome Engineering." Genetics 202, no. 3 (March 1, 2016): 885–901. http://dx.doi.org/10.1534/genetics.115.182162.

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18

Kennedy, Caleb J., Patrick M. Boyle, Zeev Waks, and Pamela A. Silver. "Systems-Level Engineering of Nonfermentative Metabolism in Yeast." Genetics 183, no. 1 (June 29, 2009): 385–97. http://dx.doi.org/10.1534/genetics.109.105254.

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19

Whitelaw, C. Bruce A., Akshay Joshi, Satish Kumar, Simon G. Lillico, and Chris Proudfoot. "Genetically engineering milk." Journal of Dairy Research 83, no. 1 (February 2016): 3–11. http://dx.doi.org/10.1017/s0022029916000017.

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It has been thirty years since the first genetically engineered animal with altered milk composition was reported. During the intervening years, the world population has increased from 5bn to 7bn people. An increasing demand for protein in the human diet has followed this population expansion, putting huge stress on the food supply chain. Many solutions to the grand challenge of food security for all have been proposed and are currently under investigation and study. Amongst these, genetics still has an important role to play, aiming to continually enable the selection of livestock with enhanced traits. Part of the geneticist's tool box is the technology of genetic engineering. In this Invited Review, we indicate that this technology has come a long way, we focus on the genetic engineering of dairy animals and we argue that the new strategies for precision breeding demand proper evaluation as to how they could contribute to the essential increases in agricultural productivity our society must achieve.

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20

Lanigan, Thomas M., Huira C. Kopera, and Thomas L. Saunders. "Principles of Genetic Engineering." Genes 11, no. 3 (March 10, 2020): 291. http://dx.doi.org/10.3390/genes11030291.

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Genetic engineering is the use of molecular biology technology to modify DNA sequence(s) in genomes, using a variety of approaches. For example, homologous recombination can be used to target specific sequences in mouse embryonic stem (ES) cell genomes or other cultured cells, but it is cumbersome, poorly efficient, and relies on drug positive/negative selection in cell culture for success. Other routinely applied methods include random integration of DNA after direct transfection (microinjection), transposon-mediated DNA insertion, or DNA insertion mediated by viral vectors for the production of transgenic mice and rats. Random integration of DNA occurs more frequently than homologous recombination, but has numerous drawbacks, despite its efficiency. The most elegant and effective method is technology based on guided endonucleases, because these can target specific DNA sequences. Since the advent of clustered regularly interspaced short palindromic repeats or CRISPR/Cas9 technology, endonuclease-mediated gene targeting has become the most widely applied method to engineer genomes, supplanting the use of zinc finger nucleases, transcription activator-like effector nucleases, and meganucleases. Future improvements in CRISPR/Cas9 gene editing may be achieved by increasing the efficiency of homology-directed repair. Here, we describe principles of genetic engineering and detail: (1) how common elements of current technologies include the need for a chromosome break to occur, (2) the use of specific and sensitive genotyping assays to detect altered genomes, and (3) delivery modalities that impact characterization of gene modifications. In summary, while some principles of genetic engineering remain steadfast, others change as technologies are ever-evolving and continue to revolutionize research in many fields.

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21

Rossant, Janet, and Andras Nagy. "Genome engineering: the new mouse genetics." Nature Medicine 1, no. 6 (June 1995): 592–94. http://dx.doi.org/10.1038/nm0695-592.

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22

Kee, Yun, and Nam-Soo Kim. "Meeting report: genetics and genome engineering." Genes & Genomics 35, no. 4 (May 7, 2013): 411–13. http://dx.doi.org/10.1007/s13258-013-0109-1.

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23

Gratz, Scott J., Alexander M. Cummings, Jennifer N. Nguyen, Danielle C. Hamm, Laura K. Donohue, Melissa M. Harrison, Jill Wildonger, and Kate M. O’Connor-Giles. "Genome Engineering ofDrosophilawith the CRISPR RNA-Guided Cas9 Nuclease." Genetics 194, no. 4 (May 24, 2013): 1029–35. http://dx.doi.org/10.1534/genetics.113.152710.

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24

Hoey, Elizabeth. "Genetic Engineering." FEBS Letters 250, no. 1 (June 19, 1989): 115. http://dx.doi.org/10.1016/0014-5793(89)80694-5.

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25

Johar, Prerna, and R. K. Salgotra. "Elementary and Advanced Mechanisms for Genetic Engineering in Crops." PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY 24, no. 7-8 (December 29, 2023): 33–43. http://dx.doi.org/10.56557/pcbmb/2023/v24i7-88481.

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Presently, the field of plant breeding is in the genomics era, where innovative techniques are being integrated to accelerate and enhance the efficiency of breeding. Traditional plant breeding methods rely on maintaining plant germplasm with desirable agronomic traits from distinct plants produced through crosses or mutagenesis. However, advancements in genetic engineering encompass all forms of genetic modification through recombinant DNA technology (RDT) and cell fusion mechanisms. These approaches shed light on areas involving mutant organisms, DNA replication, genetic linkage resolution, genetically modified organisms (GMOs), protein sequencing, functional genomics, and computational genomics alterations in genetic engineering. The integration of structural genomics into breeding and eugenics analysis has resulted in a vast knowledge base on crop genetics, species divergence, and molecular origin of traits, as well as the evolutionary history of crop lineage from ancient ancestral species. The genomic data and advancements have proven essential in identifying rare genes, alleles, or local lesions crucial to significant agronomic traits, thereby expediting breeding cycles. This article aims to explore the potential of emerging genetic engineering technologies, including synthetic biology and genome editing, to further advance crop genetics and plant breeding.

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26

Drãger, Birgit. "Genetic engineering." Transgenic Research 4, no. 3 (May 1995): 214. http://dx.doi.org/10.1007/bf01968787.

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27

Frøkjær-Jensen, Christian. "Exciting Prospects for Precise Engineering ofCaenorhabditis elegansGenomes with CRISPR/Cas9." Genetics 195, no. 3 (November 2013): 635–42. http://dx.doi.org/10.1534/genetics.113.156521.

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28

Dickinson, Daniel J., Ariel M. Pani, Jennifer K. Heppert, Christopher D. Higgins, and Bob Goldstein. "Streamlined Genome Engineering with a Self-Excising Drug Selection Cassette." Genetics 200, no. 4 (June 3, 2015): 1035–49. http://dx.doi.org/10.1534/genetics.115.178335.

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29

Subbaiah, Edupalli V., Corinne Royer, Sriramana Kanginakudru, Valluri V. Satyavathi, Adari Sobhan Babu, Vankadara Sivaprasad, Gérard Chavancy, et al. "Engineering Silkworms for Resistance to Baculovirus Through Multigene RNA Interference." Genetics 193, no. 1 (October 26, 2012): 63–75. http://dx.doi.org/10.1534/genetics.112.144402.

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30

Elder, Robert T. "Yeast genetic engineering." Cell 60, no. 4 (February 1990): 531–32. http://dx.doi.org/10.1016/0092-8674(90)90654-w.

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31

COGGON, JOHN. "Confrontations in “Genethics”: Rationalities, Challenges, and Methodological Responses." Cambridge Quarterly of Healthcare Ethics 20, no. 1 (January 2011): 46–55. http://dx.doi.org/10.1017/s0963180110000617.

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It was only a matter of time before the portmanteau term “genethics” would be coined and a whole field within bioethics delineated. The term can be dated back at least to 1984 and the work of James Nagle, who claims credit for inventing the word, which he takes “to incorporate the various ethical implications and dilemmas generated by genetic engineering with the technologies and applications that directly or indirectly affect the human species.” In Nagle’s phrase, “Genethic issues are instances where medical genetics and biotechnology generate ethical problems that warrant societal deliberation.” The great promises and terrific threats of developments in scientific understanding of genetics, and the power to enhance, modify, or profit from the knowledge science breeds, naturally offer a huge range of issues to vex moral philosophers and social theorists. Issues as diverse as embryo selection and the quest for immortality continue to tax analysts, who offer reasons as varied as the matters that might be dubbed “genethical” for or against the morality of things that are actually possible, logically possible, and even just tenuously probable science fiction.

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32

Bier, Ethan, Melissa M. Harrison, Kate M. O’Connor-Giles, and Jill Wildonger. "Advances in Engineering the Fly Genome with the CRISPR-Cas System." Genetics 208, no. 1 (January 2018): 1–18. http://dx.doi.org/10.1534/genetics.117.1113.

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33

Wilkie, A. "Genetic Engineering. Principles and Methods." Journal of Medical Genetics 32, no. 11 (November 1, 1995): 919–20. http://dx.doi.org/10.1136/jmg.32.11.919-b.

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34

Shaw, D. "Genetic Engineering--Principles and Methods." Journal of Medical Genetics 23, no. 4 (August 1, 1986): 380–81. http://dx.doi.org/10.1136/jmg.23.4.380-a.

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35

Temple, K., and S. Malcolm. "A Dictionary of Genetic Engineering." Journal of Medical Genetics 24, no. 11 (November 1, 1987): 717. http://dx.doi.org/10.1136/jmg.24.11.717.

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36

Chan, Simon W. L. "Chromosome engineering: power tools for plant genetics." Trends in Biotechnology 28, no. 12 (December 2010): 605–10. http://dx.doi.org/10.1016/j.tibtech.2010.09.002.

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37

Burke, Donald S., Kenneth A. De Jong, John J. Grefenstette, Connie Loggia Ramsey, and Annie S. Wu. "Putting More Genetics into Genetic Algorithms." Evolutionary Computation 6, no. 4 (December 1998): 387–410. http://dx.doi.org/10.1162/evco.1998.6.4.387.

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The majority of current genetic algorithms (GAs), while inspired by natural evolutionary systems, are seldom viewed as biologically plausible models. This is not a criticism of GAs, but rather a reflection of choices made regarding the level of abstraction at which biological mechanisms are modeled, and a reflection of the more engineering-oriented goals of the evolutionary computation community. Understanding better and reducing this gap between GAs and genetics has been a central issue in an interdisciplinary project whose goal is to build GA-based computational models of viral evolution. The result is a system called Virtual Virus (VIV). VIV incorporates a number of more biologically plausible mechanisms, including a more flexible genotype-to-phenotype mapping. In VIV the genes are independent of position, and genomes can vary in length and may contain noncoding regions, as well as duplicative or competing genes. Initial computational studies with VIV have already revealed several emergent phenomena of both biological and computational interest. In the absence of any penalty based on genome length, VIV develops individuals with long genomes and also performs more poorly (from a problem-solving viewpoint) than when a length penalty is used. With a fixed linear length penalty, genome length tends to increase dramatically in the early phases of evolution and then decrease to a level based on the mutation rate. The plateau genome length (i.e., the average length of individuals in the final population) generally increases in response to an increase in the base mutation rate. When VIV converges, there tend to be many copies of good alternative genes within the individuals. We observed many instances of switching between active and inactive genes during the entire evolutionary process. These observations support the conclusion that noncoding regions serve as scratch space in which VIV can explore alternative gene values. These results represent a positive step in understanding how GAs might exploit more of the power and flexibility of biological evolution while simultaneously providing better tools for understanding evolving biological systems.

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38

Court, Donald L., James A. Sawitzke, and Lynn C. Thomason. "Genetic Engineering Using Homologous Recombination." Annual Review of Genetics 36, no. 1 (December 2002): 361–88. http://dx.doi.org/10.1146/annurev.genet.36.061102.093104.

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39

Park, Ki-Eun, and Bhanu Prakash V. L. Telugu. "Role of stem cells in large animal genetic engineering in the TALENs–CRISPR era." Reproduction, Fertility and Development 26, no. 1 (2014): 65. http://dx.doi.org/10.1071/rd13258.

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The establishment of embryonic stem cells (ESCs) and gene targeting technologies in mice has revolutionised the field of genetics. The relative ease with which genes can be knocked out, and exogenous sequences introduced, has allowed the mouse to become the prime model for deciphering the genetic code. Not surprisingly, the lack of authentic ESCs has hampered the livestock genetics field and has forced animal scientists into adapting alternative technologies for genetic engineering. The recent discovery of the creation of induced pluripotent stem cells (iPSCs) by upregulation of a handful of reprogramming genes has offered renewed enthusiasm to animal geneticists. However, much like ESCs, establishing authentic iPSCs from the domestic animals is still beset with problems, including (but not limited to) the persistent expression of reprogramming genes and the lack of proven potential for differentiation into target cell types both in vitro and in vivo. Site-specific nucleases comprised of zinc finger nucleases (ZFNs), transcription activator-like effector nucleases (TALENs) and clustered regulated interspaced short palindromic repeats (CRISPRs) emerged as powerful genetic tools for precisely editing the genome, usurping the need for ESC-based genetic modifications even in the mouse. In this article, in the aftermath of these powerful genome editing technologies, the role of pluripotent stem cells in livestock genetics is discussed.

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40

Pflügl, Stefan, Hans Marx, Diethard Mattanovich, and Michael Sauer. "Genetic engineering ofLactobacillus diolivorans." FEMS Microbiology Letters 344, no. 2 (May 23, 2013): 152–58. http://dx.doi.org/10.1111/1574-6968.12168.

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41

Schofield, Zoe, Gabriel N. Meloni, Peter Tran, Christian Zerfass, Giovanni Sena, Yoshikatsu Hayashi, Murray Grant, et al. "Bioelectrical understanding and engineering of cell biology." Journal of The Royal Society Interface 17, no. 166 (May 2020): 20200013. http://dx.doi.org/10.1098/rsif.2020.0013.

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The last five decades of molecular and systems biology research have provided unprecedented insights into the molecular and genetic basis of many cellular processes. Despite these insights, however, it is arguable that there is still only limited predictive understanding of cell behaviours. In particular, the basis of heterogeneity in single-cell behaviour and the initiation of many different metabolic, transcriptional or mechanical responses to environmental stimuli remain largely unexplained. To go beyond the status quo , the understanding of cell behaviours emerging from molecular genetics must be complemented with physical and physiological ones, focusing on the intracellular and extracellular conditions within and around cells. Here, we argue that such a combination of genetics, physics and physiology can be grounded on a bioelectrical conceptualization of cells. We motivate the reasoning behind such a proposal and describe examples where a bioelectrical view has been shown to, or can, provide predictive biological understanding. In addition, we discuss how this view opens up novel ways to control cell behaviours by electrical and electrochemical means, setting the stage for the emergence of bioelectrical engineering.

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42

Johnson, B. "Genescapes: The Ecology of Genetic Engineering." Heredity 90, no. 3 (March 2003): 203. http://dx.doi.org/10.1038/sj.hdy.6800199.

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43

Sambrook, Joseph, and David W. Russell. "Genetic Engineering with PCR." Cold Spring Harbor Protocols 2006, no. 1 (June 2006): pdb.prot3836. http://dx.doi.org/10.1101/pdb.prot3836.

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44

Dymond, Jessica S., Lisa Z. Scheifele, Sarah Richardson, Pablo Lee, Srinivasan Chandrasegaran, Joel S. Bader, and Jef D. Boeke. "Teaching Synthetic Biology, Bioinformatics and Engineering to Undergraduates: The Interdisciplinary Build-a-Genome Course." Genetics 181, no. 1 (November 17, 2008): 13–21. http://dx.doi.org/10.1534/genetics.108.096784.

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45

Bateman, Jack R., Michael F. Palopoli, Sarah T. Dale, Jennifer E. Stauffer, Anita L. Shah, Justine E. Johnson, Conor W. Walsh, Hanna Flaten, and Christine M. Parsons. "Captured Segment Exchange: A Strategy for Custom Engineering Large Genomic Regions in Drosophila melanogaster." Genetics 193, no. 2 (November 12, 2012): 421–30. http://dx.doi.org/10.1534/genetics.112.145748.

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46

H. Wani, Shabir, Nadia Haider, Hitesh Kumar, and N. B. Singh. "Plant Plastid Engineering." Current Genomics 11, no. 7 (November 1, 2010): 500–512. http://dx.doi.org/10.2174/138920210793175912.

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47

Liu, Tiangang, and Chaitan Khosla. "Genetic Engineering ofEscherichia colifor Biofuel Production." Annual Review of Genetics 44, no. 1 (December 2010): 53–69. http://dx.doi.org/10.1146/annurev-genet-102209-163440.

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48

Lee, Joungmin. "Lessons from Clostridial Genetics: Toward Engineering Acetogenic Bacteria." Biotechnology and Bioprocess Engineering 26, no. 6 (December 2021): 841–58. http://dx.doi.org/10.1007/s12257-021-0062-9.

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49

Denkena, Berend, Helge Henning, and Leif-Erik Lorenzen. "Genetics and intelligence: new approaches in production engineering." Production Engineering 4, no. 1 (November 17, 2009): 65–73. http://dx.doi.org/10.1007/s11740-009-0191-z.

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50

Houlihan, Gillian, Sebastian Arangundy-Franklin, and Philipp Holliger. "Engineering and application of polymerases for synthetic genetics." Current Opinion in Biotechnology 48 (December 2017): 168–79. http://dx.doi.org/10.1016/j.copbio.2017.04.004.

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