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Journal articles on the topic 'Genetic modification method (GMM)'

Author: Grafiati

Published: 2 June 2025

Last updated: 19 July 2025

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1

Jain, Sonia, Anders Herfindahl-Quint, Caroline D. Doherty, Wenjuan Zhang, Danielle M. Burgenske, and Jann N. Sarkaria. "Abstract 2531: Novel staining method for visualization, isolation and processing of intracranial brain tumors." Cancer Research 85, no. 8_Supplement_1 (2025): 2531. https://doi.org/10.1158/1538-7445.am2025-2531.

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Abstract Background and Objective: Glioblastoma (GBM) is most common primary brain tumor with dire need of novel therapeutics. Studies with intracranial tumors are required for robust characterization and development of novel drugs for brain cancer. Tumor harvest and processing is an important aspect to study pharmacokinetics, pharmacodynamics, drug delivery, and tumor evolution. Typically, delineating and dissecting tumor from surrounding brain for varied downstream processes is dependent on the distinct morphology of the tumor and/or expression of fluorescent marker. However, genetic modific

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Akhatkulov, Bakhriddin Matlabovich. "SCIENTIFIC, METHODOLOGICAL AND THEORETICAL FOUNDATIONS OF MODERN BIOTECHNOLOGIES IN POTATO SEED PRODUCTION." Multidisciplinary Journal of Science and Technology 5, no. 5 (2025): 565–71. https://doi.org/10.5281/zenodo.15411255.

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<em>The article highlights the scientific, methodological, and theoretical foundations of using modern biotechnologies in potato seed production. Scientific approaches to the development of new potato varieties that are virus-free and adapted to climatic conditions using advanced biotechnological methods are studied. An analysis is conducted on genetic selection methods, molecular marking, plant tissue culture, monoclonal propagation, microbiological, ecological, and agronomic approaches, as well as "in vitro" propagation techniques and biological control measures.</em>

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Lee, Taesam, and Vijay P. Singh. "Discrete <i>k</i>-nearest neighbor resampling for simulating multisite precipitation occurrence and model adaption to climate change." Geoscientific Model Development 12, no. 3 (2019): 1189–207. http://dx.doi.org/10.5194/gmd-12-1189-2019.

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Abstract. Stochastic weather simulation models are commonly employed in water resources management, agricultural applications, forest management, transportation management, and recreational activities. Stochastic simulation of multisite precipitation occurrence is a challenge because of its intermittent characteristics as well as spatial and temporal cross-correlation. This study proposes a novel simulation method for multisite precipitation occurrence employing a nonparametric technique, the discrete version of the k-nearest neighbor resampling (KNNR), and couples it with a genetic algorithm

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Honkonen, I. "A generic simulation cell method for developing extensible, efficient and readable parallel computational models." Geoscientific Model Development 8, no. 3 (2015): 473–83. http://dx.doi.org/10.5194/gmd-8-473-2015.

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Abstract. I present a method for developing extensible and modular computational models without sacrificing serial or parallel performance or source code readability. By using a generic simulation cell method I show that it is possible to combine several distinct computational models to run in the same computational grid without requiring modification of existing code. This is an advantage for the development and testing of, e.g., geoscientific software as each submodel can be developed and tested independently and subsequently used without modification in a more complex coupled program. An im

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Taisto, Mandy, Barbara Tschida, Alexander Coutts, et al. "TMOD-03. A SWINE MODEL OF GLIOBLASTOMA INDUCED BY SOMATIC GENE MODIFICATION." Neuro-Oncology 23, Supplement_6 (2021): vi216. http://dx.doi.org/10.1093/neuonc/noab196.865.

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Abstract Glioblastoma (GBM) is the most common and malignant primary brain tumor. Novel therapeutic development for GBM is desperately needed, as the standard of care universally fails to cure patients and the 5-year survival rate remains extremely low. GBM therapeutic development is hampered by the lack of relevant preclinical models for preclinical studies. To mitigate this problem, we have developed a genetic model of GBM in outbred, immune-proficient swine which have comparable brain size and anatomy to humans. We developed methods for introducing genome engineering tools to minipig brain

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Koshel, Ivanna. "Level of Arachidonic Acid and State of Peroxidation Processes in Patients with Aspirin-Intolerant Polypous Rhinosinusitis." Galician Medical Journal 23, no. 4 (2016): 2016410. http://dx.doi.org/10.21802/gmj.2016.4.10.

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The main peculiarity of aspirin-intolerant polypous rhinosinusitis pathogenesis is the presence of “genetic block” of constitutive cyclooxygenase being the key enzyme of the arachidonic acid metabolism. It justifies the necessity of studying its metabolic peculiarities.The objective of the research was to determine the level of arachidonic acid as well as the state of lipid and protein peroxidation processes in patients with aspirin-intolerant polypous rhinosinusitis.Materials and methods. The levels of arachidonic acid, malondialdehyde and oxidative modification of serum proteins were studied

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D’aes, Jolien, Marie-Alice Fraiture, Bert Bogaerts, Sigrid C. J. De Keersmaecker, Nancy H. C. J. Roosens, and Kevin Vanneste. "Metagenomic Characterization of Multiple Genetically Modified Bacillus Contaminations in Commercial Microbial Fermentation Products." Life 12, no. 12 (2022): 1971. http://dx.doi.org/10.3390/life12121971.

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Genetically modified microorganisms (GMM) are frequently employed for manufacturing microbial fermentation products such as food enzymes or vitamins. Although the fermentation product is required to be pure, GMM contaminations have repeatedly been reported in numerous commercial microbial fermentation produce types, leading to several rapid alerts at the European level. The aim of this study was to investigate the added value of shotgun metagenomic high-throughput sequencing to confirm and extend the results of classical analysis methods for the genomic characterization of unauthorized GMM. By

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Tschida, Barbara, Dylan Duerre, Mandy Taisto, and Adrienne Watson. "TMOD-20. A SWINE MODEL OF GLIOBLASTOMA INDUCED BY SOMATIC GENE MODIFICATION." Neuro-Oncology 22, Supplement_2 (2020): ii232. http://dx.doi.org/10.1093/neuonc/noaa215.971.

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Abstract Glioblastoma (GBM) is the most common and malignant primary brain tumor. Novel therapeutic development for GBM is needed since the standard of care universally fails to cure patients and the five-year survival rate remains below 10%. GBM therapeutic development is hampered by the lack of relevant large animal models for preclinical studies. To mitigate this problem, we are developing a model of GBM in outbred, immune-proficient swine which have comparable brain size and anatomy to humans. We developed methods for introducing genome engineering tools to minipig brain cells in vivo by d

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Olsen, Timothy R., Pranay Talla, Julia Furnari, et al. "Abstract 1170: Scalable co-sequencing of RNA and DNA from individual nuclei." Cancer Research 83, no. 7_Supplement (2023): 1170. http://dx.doi.org/10.1158/1538-7445.am2023-1170.

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Abstract A scalable co-assay for single cell mRNA and gDNA sequencing could potentially harmonize the identification of rare cell populations and cell states with corresponding cell-lineage relationships, drug sensitivities, and genetic mutations. Such an assay would provide new insights into the relationship between genetic alterations and tumor cell phenotype. However, simultaneously measuring the genomic and transcriptomic content of individual cells at high throughput remains challenging. Here we present single-cell lithium assisted nucleosome depleted sequencing (scLAND-seq), a scalable m

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Přibil, Jiří, Anna Přibilová, and Jindřich Matoušek. "Evaluation of speaker de-identification based on voice gender and age conversion." Journal of Electrical Engineering 69, no. 2 (2018): 138–47. http://dx.doi.org/10.2478/jee-2018-0017.

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AbstractTwo basic tasks are covered in this paper. The first one consists in the design and practical testing of a new method for voice de-identification that changes the apparent age and/or gender of a speaker by multi-segmental frequency scale transformation combined with prosody modification. The second task is aimed at verification of applicability of a classifier based on Gaussian mixture models (GMM) to detect the original Czech and Slovak speakers after applied voice deidentification. The performed experiments confirm functionality of the developed gender and age conversion for all sele

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Steyn, Angela, Nigel J. Crowther, Shane A. Norris, Raquel Rabionet, Xavier Estivill, and Michèle Ramsay. "Epigenetic modification of the pentose phosphate pathway and the IGF-axis in women with gestational diabetes mellitus." Epigenomics 11, no. 12 (2019): 1371–85. http://dx.doi.org/10.2217/epi-2018-0206.

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Aim: Gestational diabetes mellitus (GDM) has been linked with adverse long-term health outcomes for the fetus and mother. These effects may be mediated by epigenetic modifications. Materials & methods: Genome-wide RNA sequencing was performed in placental tissue and maternal blood in six GDM and six non-GDM pregnancies. Promoter region DNA methylation was examined for selected genes and correlated with gene expression to examine an epigenetic modulator mechanism. Results: Reductions of mRNA expression and increases in promoter methylation were observed for G6PD in GDM women, and for genes

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Mao, Ke Ming, Zhi Liang Zhu, Hui Yan Jiang, and Zhuo Fu Deng. "A Novel Skin Image Detection Method Based on GMM and GAs." Applied Mechanics and Materials 128-129 (October 2011): 482–86. http://dx.doi.org/10.4028/www.scientific.net/amm.128-129.482.

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This paper proposes a new skin image detection method. First, skin pixel histogram in RGB color space is analyzed. Then Gaussian Mixture Model is used to constructed distribution of skin pixels. Second, a Gaussian parameter combination and selection procedure is implemented with Genetic Algorithms, and the optimal Gaussian Mixture Model can be obtained. Experimental results on public database show that our proposed method outperforms the traditional method with ROC test.

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Pal, Samyajoy, and Christian Heumann. "Clustering compositional data using Dirichlet mixture model." PLOS ONE 17, no. 5 (2022): e0268438. http://dx.doi.org/10.1371/journal.pone.0268438.

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A model-based clustering method for compositional data is explored in this article. Most methods for compositional data analysis require some kind of transformation. The proposed method builds a mixture model using Dirichlet distribution which works with the unit sum constraint. The mixture model uses a hard EM algorithm with some modification to overcome the problem of fast convergence with empty clusters. This work includes a rigorous simulation study to evaluate the performance of the proposed method over varied dimensions, number of clusters, and overlap. The performance of the model is al

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Qin, Chao, Shengyao Jiang, Ke Xu, et al. "One-Step Genetic Modification by Embryonic Doral Aorta Injection of Adenoviral CRISPR/Cas9 Vector in Chicken." International Journal of Molecular Sciences 25, no. 16 (2024): 8692. http://dx.doi.org/10.3390/ijms25168692.

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In the avian species, genetic modification by cell nuclear transfer is infeasible due to its unique reproductive system. The in vitro primordial germ cell modification approach is difficult and cumbersome, although it is the main method of genetic modification in chickens. In the present study, the adenoviral CRISPR/Cas9 vector was directly microinjected into the dorsal aorta of chicken embryos to achieve in vivo genetic modification. The results demonstrated that keratin 75-like 4 (KRT75L4), a candidate gene crucial for feather development, was widely knocked out, and an 8bp deletion was the

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Lu, Qin-Qin, Xu-Zhuo Xie, Yong-Ming Liu, et al. "Fast preparation of a desiccant array for the gradual desiccation method in protein crystallization screening." Journal of Applied Crystallography 46, no. 3 (2013): 817–22. http://dx.doi.org/10.1107/s0021889813009734.

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The gradual desiccation method (GDM) is a modification of the vapor diffusion method for protein crystallization screening. This method can dramatically increase the chances of obtaining protein crystals and is therefore potentially useful for practical protein crystallization screening. However, it is troublesome to prepare the desiccant for the GDM because each of the 96 desiccants must be of the same mass. Repeated manual weighing of the desiccant (at least 96 times for one plate) to obtain the same amount is required, and manual distribution of the weighed desiccants to the respective rese

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Степанов, Дмитрий, Dmitriy Stepanov, Иван Полянский, Ivan Polyanskiy, Михаил Фролов, and Mikhail Frolov. "Hybrid genetic method with gradient learning and predictionfor solving global optimization of multiextremal functions." Bulletin of Bryansk state technical university 2014, no. 3 (2014): 138–46. http://dx.doi.org/10.12737/23144.

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In the article in order to determine the most effective global optimum multiextremal multivariate functions in the general case containing the points of discontinuity of the first and second kind, proposed modification of the genetic method. Numerical evaluation of the effectiveness of finding the global optimum of the proposed modification of the genetic method in comparison with a standard genetic algorithm and its known modifications made to a select group multiextremal test functions.

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Li, Yan Hong, Guo Wang Mu, and Zeng Guo. "Shape Modification of NURBS Curves Using Genetic Algorithm." Advanced Materials Research 532-533 (June 2012): 1450–54. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.1450.

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In this paper, we propose a new method for shape modification of NURBS curves. For a given NURBS curve, we modify its one or more weights so that the curve passes through the point specified in advance. We convert this into an optimization problem and solve it by genetic algorithm. The experimental results show the feasibility and validity of our method.

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Sun, Wei, Shifeng Wang, and Roy Curtiss. "Highly Efficient Method for Introducing Successive Multiple Scarless Gene Deletions and Markerless Gene Insertions into the Yersinia pestis Chromosome." Applied and Environmental Microbiology 74, no. 13 (2008): 4241–45. http://dx.doi.org/10.1128/aem.00940-08.

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ABSTRACT An efficient two-step recombination method for markerless gene deletion and insertion that can be used for repetitive genetic modification in Yersinia pestis was developed. The method combines λ Red recombination and counterselective screening (sacB gene) and can be used for genetic modification of Y. pestis to construct live attenuated vaccines.

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Xia, Qing, Xiangyu Wang, Zhangyuan Pan, et al. "Genetic diversity and phylogenetic relationship of nine sheep populations based on microsatellite markers." Archives Animal Breeding 64, no. 1 (2021): 7–16. http://dx.doi.org/10.5194/aab-64-7-2021.

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Abstract. The objective of this study was to assess the genetic diversity and phylogenetic relationship of nine sheep populations, including two famous high prolific populations and seven popular mutton populations raised in China. Overall, these sheep populations in this study exhibited a rich genetic diversity. Both the expected heterozygosity and Nei's unbiased gene diversity ranged from 0.64 to 0.75, with the lowest value found in Dorset sheep (DST) and the highest in Hu sheep (HUS) and Ba Han sheep (BAS). The polymorphic information content (PIC) varied between 0.59 in DST and 0.71 in HUS

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Sarfaraz, Sana, Nazia Rizwan, Amber Sharif, et al. "Mapping Gestational Diabetes Mellitus – A Narrative Review of Key Determinants and Epidemiology." Biological and Clinical Sciences Research Journal 6, no. 4 (2025): 223–26. https://doi.org/10.54112/bcsrj.v6i4.1535.

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Gestational diabetes mellitus (GDM) is a glucose intolerance disorder that arises during pregnancy, posing significant risks to both maternal and neonatal health. The global burden of GDM is increasing, reflecting changes in demographic, genetic, and lifestyle factors. Objective: This narrative review aims to explore the epidemiology, risk factors, diagnostic criteria, and current preventive and management strategies associated with GDM, with an emphasis on its public health implications. Methods: This review utilized a comprehensive literature search of international databases including PubMe

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Zuhrotul Ummah, Laili Nur Istiqomah, and Siti Mahmudah. "Effect of Genetic Modification on Plant Reproductive System." Jurnal Agricultural Science 18, no. 2 (2023): 41–48. https://doi.org/10.58222/jas.v18i2.210.

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Genetic modification is a technique used to change the genetic traits of an organism by inserting genes from other organisms. The aim of this research is to examine the effect of genetic modification on the plant reproductive system. In This research uses the literature study method by collecting and analyzing data from various scientific sources. From various scientific sources. The results of this study show that genetic modification can affect the plant reproductive system such as increase in crop yields, resistance to pests and diseases, and adaptation to the changing environment. Plants t

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Kadhim, Imad Burhan, Ali Najdet Nasret, and Zuhair Shakor Mahmood. "Enhancement and modification of automatic speaker verification by utilizing hidden Markov model." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 3 (2022): 1397. http://dx.doi.org/10.11591/ijeecs.v27.i3.pp1397-1403.

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<div class="WordSection1"><p>The purpose of this study is to discuss the design and implementation of autonomous surface vehicle (ASV) systems. There’s a lot riding on the advancement and improvement of ASV applications, especially given the benefits they provide over other biometric approaches. Modern speaker recognition systems rely on statistical models like hidden Markov model (HMM), support vector machine (SVM), artificial neural networks (ANN), generalized method of moments (GMM), and combined models to identify speakers. Using a French dataset, this study investigates the ef

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Kadhim, Imad Burhan, Ali Najdet Nasret, and Zuhair Shakor Mahmood. "Enhancement and modification of automatic speaker verification by utilizing hidden Markov model." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 3 (2022): 1397–403. https://doi.org/10.11591/ijeecs.v27.i3.pp1397-1403.

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The purpose of this study is to discuss the design and implementation of autonomous surface vehicle (ASV) systems. There’s a lot riding on the advancement and improvement of ASV applications, especially given the benefits they provide over other biometric approaches. Modern speaker recognition systems rely on statistical models like hidden Markov model (HMM), support vector machine (SVM), artificial neural networks (ANN), generalized method of moments (GMM), and combined models to identify speakers. Using a French dataset, this study investigates the effectiveness of prompted text speake

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Miller, C. R., C. P. Dunham, B. W. Scheithauer, and A. Perry. "Significance of necrosis in grading of anaplastic oligodendroglial tumors: A clinicopathological and genetic study of 916 high-grade gliomas." Journal of Clinical Oncology 24, no. 18_suppl (2006): 1502. http://dx.doi.org/10.1200/jco.2006.24.18_suppl.1502.

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1502 Background: High-grade gliomas (HGG, WHO grades III-IV) are morphologically and genetically diverse, with survivals ranging from months to decades. Although WHO 2000 grading criteria are well established for pure astrocytomas [anaplastic astrocytoma (AA) and glioblastoma (GBM)], those for oligodendroglial neoplasms [anaplastic oligoastrocytoma (AOA) and oligodendroglioma (AO)] remain subjective, there being a debate regarding the existence of a grade IV variant based on the finding of necrosis, particularly with pseudopalisading (PPN). Methods: Overall survival of 916 adult (>20 yr) pa

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Khlestkin, Vadim, Tatyana Erst, Alexander Igoshin, Irina Rozanova, and Elena Khlestkina. "Meta-Analysis of Genetic Factors for Potato Starch Phosphorylation." Agronomy 12, no. 6 (2022): 1343. http://dx.doi.org/10.3390/agronomy12061343.

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Starch is one of the most demanded renewable feedstock in the world. The degree of phosphorylation of native potato (Solanum tuberosum L.) starch is a practically important quantitative trait, significantly influencing its physical and chemical properties. In this study, we evaluated the genetic diversity of the population of potato varieties and quantified phosphorus content in potato tuber starch harvested in 2017, 2018, and 2019. With the statistical methods, the most promising varieties for the next generation of breeding were identified for the first time. Genotyping and chemotyping data

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ELLIS, T. H. N. "Neighbour mapping as a method for ordering genetic markers." Genetical Research 69, no. 1 (1997): 35–43. http://dx.doi.org/10.1017/s0016672397002632.

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A modification of the neighbour joining method of Saitou & Nei (1987) is shown to be applicable to the ordering of genetic markers. This neighbour mapping method is compared with some other procedures for ordering genetic markers using both real and test data sets. The limitations and likely errors associated with the use of neighbour mapping are discussed. The speed and simplicity of this method commend its application, as does its concurrence with other mapping methods.

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Mei, Wenjie, Jingzhou Na, Fan Yang, Guike Shen, and Jiawei Chen. "The Optimal Design Method and Standardized Mathematical Model of Tooth Profile Modification of Spur Gear." Mathematical Problems in Engineering 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/6347987.

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The paper reports a tooth profile modification method of spur gear. After establishing a standardized mathematical model for optimized tooth profile and simulating meshing process with ANSYS finite element analysis, we obtained 625 groups of gear models with different modification parameters. The group with minimum transmission errors owns the optimal parameters. Genetic algorithm was adopted in the entire process for the purpose of reducing the variation of transmission errors in meshing process. The arc and parabolic modification were doing the same processing. After comparing the transmissi

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Zhang, Yilai, Xue Jian Li, Ling Ke Zeng, and Cheng Kang Chang. "Application of Materials Design Based on Genetic Neural Network." Key Engineering Materials 280-283 (February 2007): 1837–40. http://dx.doi.org/10.4028/www.scientific.net/kem.280-283.1837.

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Neural network (NN) is an effective method in the filed of materials design, but the convergent speed is decided by initial weights. This paper proposes genetic neural network algorithm (GNNA) to design materials. Aluminum titanate modification is studied by the method of GNNA. The results indicate the algorithm works well.

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Costa, Magdaline, Mirella Dottori, Koula Sourris, et al. "A method for genetic modification of human embryonic stem cells using electroporation." Nature Protocols 2, no. 4 (2007): 792–96. http://dx.doi.org/10.1038/nprot.2007.105.

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Cheah, Yi Ern, Stevan C. Albers, and Christie A. M. Peebles. "A novel counter-selection method for markerless genetic modification inSynechocystissp. PCC 6803." Biotechnology Progress 29, no. 1 (2012): 23–30. http://dx.doi.org/10.1002/btpr.1661.

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Komisarenko, A. G., S. I. Mykhalska, and V. M. Kurchii. "Agrobacterium-mediated transformation – method of genetic modification of Triticum aestivum L. plants." Faktori eksperimental'noi evolucii organizmiv 30 (September 1, 2022): 85–90. http://dx.doi.org/10.7124/feeo.v30.1466.

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Aim. Investigate the effect of Agrobacterium-mediated transformation in planta on seed tying and the frequency of transformation in winter wheat (Triticum aestivum L.). To analyze changes in the level of free L-proline (Pro) in transformed and control seedlings under normal / stress conditions and productivity indicators of biotechnological plants (T1) under normal growing conditions. Methods. Agrobacterium-mediated transformation in planta; PCR analysis, DNA electrophoresis; determination of seed tying frequency and transformation, Pro content, yield structure indicators. Results. Obtained tr

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Yakovlev, I. A., R. V. Deev, V. V. Solovyeva, A. A. Rizvanov, and A. A. Isaev. "Preand posttranscriptional genetic information modification in muscular dystrophy treatment." Genes & Cells 11, no. 2 (2016): 42–52. http://dx.doi.org/10.23868/gc120570.

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Nowadays, a whole range of genetherapeutic methods is being used to restore a lost protein function due to mutation, a big number of preclinical and clinical studies of potential drugs that may allow to implement an etiotropic approach is being performed. 0ne of the most prevalent and socially significant groups of genetic pathologies is muscular dystrophy, including such diseases as Duchenne muscular dystrophy and dysfelinopathy. Despite a large number of studies in this field, there is no effective method of gene therapy for these diseases yet. This work is intended to review main genetherap

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Shan, Zhi, Hen Luo, and Shu Hao Qin. "Polymer Ratio Optimization Based on Support Vector Machine and Genetic Algorithm." Applied Mechanics and Materials 444-445 (October 2013): 1026–32. http://dx.doi.org/10.4028/www.scientific.net/amm.444-445.1026.

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For getting rid trial-and-error method of polymer blending modification depends on experience, nonlinear relation of polymer ratio and its properties is obtained by Support Vector Machine and Genetic Algorithm. While the application of genetic algorithms to optimize the SVM model. Decision function in the relational model of SVM as the objective function, and optimized the value of polymer properties and its ratio by genetic algorithms. Experiments show that the method has some values.

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Shim, Hyunsuk, Alfredo Daniel Voloschin, Li Wei, et al. "Using proton MRSI to predict response to vorinostat treatment in recurrent GBM." Journal of Clinical Oncology 30, no. 15_suppl (2012): 3055. http://dx.doi.org/10.1200/jco.2012.30.15_suppl.3055.

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3055 Background: A major impediment to the development of new therapies for glioblastoma (GBM) is a lack of biomarkers indicating response. Epigenetic modifications are now recognized as a frequent occurrence in the early phases of tumorigenesis, playing a central role in tumor development. Epigenetic alterations differ significantly from genetic modifications in that they may be reversed by ‘‘epigenetic drugs’’ such as histone deacetylase inhibitors (HDACis). As a promising new modality for cancer therapy, the first generation of HDACi is currently being tested in phase I/II clinical trials.

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Alnahhas, Iyad, Pierre Giglio, Javier Gonzalez, and Vinay Puduvalli. "PATH-12. IDENTIFYING MOLECULAR PROGNOSTIC MARKERS IN IDHwt GLIOBLASTOMA." Neuro-Oncology 21, Supplement_6 (2019): vi145. http://dx.doi.org/10.1093/neuonc/noz175.608.

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Abstract BACKGROUND Despite our deeper understanding of the genomic alterations associated with glioblastoma (GBM), only a few genetic and epigenetic modifications have been proven to be meaningful in clinical practice. We have identified molecular parameters of prognostic relevance in IDHwt GBM using patient data from the Ohio State University (OSU) and the publicly available MSK-IMPACT database. METHODS A clinically annotated database of glioma patients at OSU- whose tumors were analyzed through Foundation One genomic testing- was utilized to examine mutation and copy number variation (CNV)

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Yang, Junjie, Bingbing Sun, He Huang, et al. "High-Efficiency Scarless Genetic Modification in Escherichia coli by Using Lambda Red Recombination and I-SceI Cleavage." Applied and Environmental Microbiology 80, no. 13 (2014): 3826–34. http://dx.doi.org/10.1128/aem.00313-14.

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ABSTRACTGenetic modifications of bacterial chromosomes are important for both fundamental and applied research. In this study, we developed an efficient, easy-to-use system for genetic modification of theEscherichia colichromosome, a two-plasmid method involving lambda Red (λ-Red) recombination and I-SceI cleavage. An intermediate strain is generated by integration of a resistance marker gene(s) and I-SceI recognition sites in or near the target gene locus, using λ-Red PCR targeting. The intermediate strain is transformed with a donor plasmid carrying the target gene fragment with the desired

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Jie, Hu, Jia Quan Feng, and Da Lin Chen. "Some Improvements of Genetic Programming in Data Fitting." Advanced Materials Research 201-203 (February 2011): 2536–39. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.2536.

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This paper proposed some improvement measures of Genetic Programming (GP) in data fitting, including developed new ways of crossover and mutation, improved the calculation efficiency greatly, and avoided the problem of parse tree expansion. The new adopted mutation method improved the problem of constant modification to some extent. Numerical simulation obtained a considerable good fitting and prediction precision.

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I., Fedorchenko, Oliinyk A., Stepanenko A., Korniienko S., Kharchenko A., and Goncharenko D. "Development of evolutionary algorithms in the problems of managing the assortment of network pharmacies." Artificial Intelligence 24, no. 3-4 (2019): 58–71. http://dx.doi.org/10.15407/jai2019.03-04.058.

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The article explores the problems and existing methods of optimizing the financial performance of network pharmacies. Proposed a genetic method with the modification of the mutation operator to solve the problem of managing the range of pharmaceutical products based on evolutionary methods. The fundamental difference between the developed genetic algorithm and its existing counterparts is the ability to control the mathematical distribution of the values of the solution, which prevents premature convergence of the genetic algorithm and uses all proposed genes in fractions according to the chos

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Kieszek, Rafał, Stanisław Kachel, and Adam Kozakiewicz. "Modification of Genetic Algorithm Based on Extinction Events and Migration." Applied Sciences 13, no. 9 (2023): 5584. http://dx.doi.org/10.3390/app13095584.

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This article presents a genetic algorithm modification inspired by events related to great extinctions. The main objective of the modification was to minimize the number of objective function solutions until the minimum for the function was established. It was assumed that, within each step, a population should be smaller than that recommended in the applicable literature, the number of iterations should be limited, the solution area should be variable, and a great extinction event should take place following several iterations. Calculations were performed for 10 individuals within a populatio

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Cretella Lombardo, Elisabetta, Valeria Paoloni, Silvia Fanelli, Chiara Pavoni, Francesca Gazzani, and Paola Cozza. "Evaluation of the Upper Arch Morphological Changes after Two Different Protocols of Expansion in Early Mixed Dentition: Rapid Maxillary Expansion and Invisalign® First System." Life 12, no. 9 (2022): 1323. http://dx.doi.org/10.3390/life12091323.

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Background: The objective of this retrospective study was to analyze the morphological changes of the upper arch after two protocols of expansion, the Invisalign® First system and rapid maxillary expansion (RME), in mixed dentition by means of geometric morphometric analysis (GMM). Methods: Digital dental casts of 32 children treated either with RME (RME group: 17 subjects; mean age 8.1 years) or the First system (First group: subjects; mean age 8.4 years) were collected. For both the RG and FG, pre-(T1) and post-treatment(T2) digital models were created. A total of 14 landmarks were digitized

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Ievgen, Fedorchenko, Oliinyk Andrii, Stepanenko Alexander, Zaiko Tetiana, Shylo Serhii, and Svyrydenko Anton. "DEVELOPMENT OF THE MODIFIED METHODS TO TRAIN A NEURAL NETWORK TO SOLVE THE TASK ON RECOGNITION OF ROAD USERS." Eastern-European Journal of Enterprise Technologies 2, no. 9 (98) (2019): 46–55. https://doi.org/10.15587/1729-4061.2019.164789.

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We have developed modifications of a simple genetic algorithm for pattern recognition. In the proposed modification Alpha-Beta, at the stage of selection of individuals to the new population the individuals are ranked in terms of fitness, then the number of pairs is randomly determined ‒ a certain number of the fittest individuals, and the same number of the least adapted. The fittest individuals form the subset B, those least adapted ‒ the subset W. Both subsets are included in a set of pairs V. The number of individuals that can be selected to pairs is in the range of 20‒60 % of the tot

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Sanchez-Antequera, Yolanda, Olga Mykhaylyk, Niek P. van Til, et al. "Magselectofection: an integrated method of nanomagnetic separation and genetic modification of target cells." Blood 117, no. 16 (2011): e171-e181. http://dx.doi.org/10.1182/blood-2010-08-302646.

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Abstract Research applications and cell therapies involving genetically modified cells require reliable, standardized, and cost-effective methods for cell manipulation. We report a novel nanomagnetic method for integrated cell separation and gene delivery. Gene vectors associated with magnetic nanoparticles are used to transfect/transduce target cells while being passaged and separated through a high gradient magnetic field cell separation column. The integrated method yields excellent target cell purity and recovery. Nonviral and lentiviral magselectofection is efficient and highly specific f

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TANIKAWA, Tomoya, and Yoshitaka TANIMIZU. "A partial modification method for disturbed production schedules by using hybrid genetic algorithm." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2017.9 (2017): 168. http://dx.doi.org/10.1299/jsmelem.2017.9.168.

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Jin, Jiahui, Yanping Song, Jianyang Yu, and Fu Chen. "Modification and optimization strategies for turbine arbitrary blade tips." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 233, no. 6 (2019): 675–88. http://dx.doi.org/10.1177/0957650919826326.

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The influence of different arbitrary blade tip shapes on restraining the tip leakage flow in a highly loaded turbine cascade has been numerically studied. A combined method of establishing and optimizing the arbitrary blade tip shape is proposed by using B-spline surface modeling, Kriging model and genetic optimization algorithm. The results show that the Kriging model established by the B-spline surface modeling method can accurately fit the relationship between the arbitrary blade tip shape and the relevant aerodynamic parameters. The optimal leakage mass flow tip and the optimal total press

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Fu, Ruijiang, Wu-Pei Su, and Hongxing He. "Genetic Algorithm-Enhanced Direct Method in Protein Crystallography." Molecules 30, no. 2 (2025): 288. https://doi.org/10.3390/molecules30020288.

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Direct methods based on iterative projection algorithms can determine protein crystal structures directly from X-ray diffraction data without prior structural information. However, traditional direct methods often converge to local minima during electron density iteration, leading to reconstruction failure. Here, we present an enhanced direct method incorporating genetic algorithms for electron density modification in real space. The method features customized selection, crossover, and mutation strategies; premature convergence prevention; and efficient message passing interface (MPI) parallel

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Ermakov, Sergej, Liudmila Vladimirova, Irina Rubtsova, and Alexey Rubanik. "Genetic Stochastic Method of Global Extremum Search for Multivariable Function." Cybernetics and Physics, Volume 11, 2022, Number 1 (June 2, 2022): 13–17. http://dx.doi.org/10.35470/2226-4116-2022-11-1-13-17.

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This article is devoted to the development of stochastic methods of global extremum search. The modification of the annealing simulation algorithm [Ermakov and Semenchikov, 2019] is combined with the covariance matrix adaptation method [Ermakov, Kulikov and Leora, 2017]. In this case, an effective computational approach [Ermakov and Mitioglova, 1977] is used for modeling the multivariate normal distribution. The special algorithms of covariance matrices adaptation are suggested to avoid the obtaining of a local extremum instead of a global one. The methods proposed are successfully applied to

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Lee, Eunho, and Youngbae Hwang. "Layer-Wise Network Compression Using Gaussian Mixture Model." Electronics 10, no. 1 (2021): 72. http://dx.doi.org/10.3390/electronics10010072.

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Due to the large number of parameters and heavy computation, the real-time operation of deep learning in low-performance embedded board is still difficult. Network Pruning is one of effective methods to reduce the number of parameters without additional network structure modification. However, the conventional method prunes redundant parameters up to the same rate for all layers. It may cause a bottleneck problem, which leads to the performance degradation, because the minimum number of optimal parameters is different according to the each layer. We propose a layer adaptive pruning method base

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Mohammed J. Kadhim. "The Role of CRISPR-Cas9 in Gene Editing." OBAT: Jurnal Riset Ilmu Farmasi dan Kesehatan 3, no. 2 (2025): 90–100. https://doi.org/10.61132/obat.v3i2.1108.

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The CRISPR-Cas9 technique is a contemporary technology that has transformed the process of genetic modification, allowing scientists to target genomes in living organisms with precision and simplicity. Numerous practical applications of significant importance, including the introduction of new genes into living cells, are facilitated by the CRISPR-Cas9 system's advanced level of gene targeting, precision, and simplicity of use. An enigmatic process involving repeated DNA sequences in E. coli initiated the emergence of this CRISPR-Cas9 mechanism. After observing this phenomenon in bacteria, sci

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Sharipova, E. I., A. A. Titova, A. K. Shafigullina, et al. "Influence of Hepatic Stellate Cells transduction by adenoviral vector Ad5-optHGF-optFGF-4-RFP on their phenotype in vitro and in vivo." Genes & Cells 10, no. 4 (2015): 114–17. http://dx.doi.org/10.23868/gc120531.

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Nowadays gene and cell therapy methods for liver diseases treatment are being actively developed. Genetic modification of cells could be an approach that considerably increases the therapeutic potential of transplanted cells. It is assumed that the genetic manipulation, particularly obtaining and application of cells, that express and overexpress therapeutic factors, could reduce the therapeutic dose of transplanted cells and noticeably enhance therapeutic effects of these cells. However, it remains unclear, how genetic modification influences on cellular phenotype, in this case hepatic stella

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Wu, Jun, Shaowei Fan, Minghe Jin, and Hong Liu. "OPTIMIZATION OF MODIFIED WATT’S LINKAGE FOR AN APPROXIMATELY LONG STRAIGHT PATH WITHIN LIMITED DIMENSION." Transactions of the Canadian Society for Mechanical Engineering 40, no. 3 (2016): 399–417. http://dx.doi.org/10.1139/tcsme-2016-0029.

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This paper presents an optimal method of aiming for an approximately straight path of the Modified Watt’s Linkage (MWL) within limited dimension. A modification to the Watt’s linkage and the corresponding condition are introduced, followed by the kinematic synthesis. The path generation based on the modification considering constraints from practical application is provided. Genetic algorithm is utilized to perform the constrained optimization. The centrosymmetric property of the MWL is considered in the synthesis process. Ideal parameters of the mechanism are achieved to demonstrate the effec

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