Academic literature on the topic 'Genetic modifier factors'
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Journal articles on the topic "Genetic modifier factors"
Ginsburg, David. "Genetic Modifiers of Thrombosis in Mice." Blood 114, no. 22 (November 20, 2009): SCI—44—SCI—44. http://dx.doi.org/10.1182/blood.v114.22.sci-44.sci-44.
Full textMésinèle, Julie, Manon Ruffin, Loïc Guillot, and Harriet Corvol. "Modifier Factors of Cystic Fibrosis Phenotypes: A Focus on Modifier Genes." International Journal of Molecular Sciences 23, no. 22 (November 17, 2022): 14205. http://dx.doi.org/10.3390/ijms232214205.
Full textButnariu, Lăcrămioara Ionela, Elena Țarcă, Elena Cojocaru, Cristina Rusu, Ștefana Maria Moisă, Maria-Magdalena Leon Constantin, Eusebiu Vlad Gorduza, and Laura Mihaela Trandafir. "Genetic Modifying Factors of Cystic Fibrosis Phenotype: A Challenge for Modern Medicine." Journal of Clinical Medicine 10, no. 24 (December 13, 2021): 5821. http://dx.doi.org/10.3390/jcm10245821.
Full textDavidson, Courtney E., Qian Li, Gary A. Churchill, Lucy R. Osborne, and Heather E. McDermid. "Modifier locus for exencephaly in Cecr2 mutant mice is syntenic to the 10q25.3 region associated with neural tube defects in humans." Physiological Genomics 31, no. 2 (October 2007): 244–51. http://dx.doi.org/10.1152/physiolgenomics.00062.2007.
Full textShcherbakova, N. V., A. B. Zhironkina, V. Yu Voinova, R. A. Ildarova, and M. A. Shkolnikova. "Phenotypic variability and modifier variants in children with hereditary heart diseases." Rossiyskiy Vestnik Perinatologii i Pediatrii (Russian Bulletin of Perinatology and Pediatrics) 66, no. 3 (July 1, 2021): 12–19. http://dx.doi.org/10.21508/1027-4065-2021-66-3-12-19.
Full textHyun, Cheol Hwan, Chae Young Yoon, He-Jin Lee, and Seung-Jae Lee. "LRRK2 as a Potential Genetic Modifier of Synucleinopathies: Interlacing the Two Major Genetic Factors of Parkinson’s Disease." Experimental Neurobiology 22, no. 4 (December 30, 2013): 249–57. http://dx.doi.org/10.5607/en.2013.22.4.249.
Full textAlcaraz, Wendy A., Edward Chen, Phoebe Valdes, Eunnie Kim, Yuan Hung Lo, Jennifer Vo, and Bruce A. Hamilton. "Modifier genes and non-genetic factors reshape anatomical deficits in Zfp423-deficient mice." Human Molecular Genetics 20, no. 19 (July 5, 2011): 3822–30. http://dx.doi.org/10.1093/hmg/ddr300.
Full textPelucchi, Sara, Giulia Ravasi, Cristina Arosio, Mario Mauri, Rocco Piazza, Raffaella Mariani, and Alberto Piperno. "HIF1A: A Putative Modifier of Hemochromatosis." International Journal of Molecular Sciences 22, no. 3 (January 27, 2021): 1245. http://dx.doi.org/10.3390/ijms22031245.
Full textDurán, Anyelo, David A. Priestman, Macarena Las Las Heras, Boris Rebolledo-Jaramillo, Valeria Olguín, Juan F. Calderón, Silvana Zanlungo, Jaime Gutiérrez, Frances M. Platt, and Andrés D. Klein. "A Mouse Systems Genetics Approach Reveals Common and Uncommon Genetic Modifiers of Hepatic Lysosomal Enzyme Activities and Glycosphingolipids." International Journal of Molecular Sciences 24, no. 5 (March 3, 2023): 4915. http://dx.doi.org/10.3390/ijms24054915.
Full textTebbi, Cameron K. "Sickle Cell Disease, a Review." Hemato 3, no. 2 (May 30, 2022): 341–66. http://dx.doi.org/10.3390/hemato3020024.
Full textDissertations / Theses on the topic "Genetic modifier factors"
Shen, Yuelei. "MHC Class I Antigen Presentation is Regulated by the SUMO-Conjugating Enzyme UBC9: a Dissertation." eScholarship@UMMS, 2003. https://escholarship.umassmed.edu/gsbs_diss/111.
Full textVossen, Carolina Y. "Genetic risk factors for venous thrombosis : key players or minor risk modifiers ? /." [S.l. : s.n], 2005. http://catalogue.bnf.fr/ark:/12148/cb402235083.
Full textPennison, Michael James. "Constitutively Decreased Transforming Growth Factor Beta Receptor 1 (TGFBR1) Signaling Modifies Colorectal Cancer Predisposition." Thesis, Northwestern University, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3741319.
Full textColorectal cancer (CRC) is the third most commonly diagnosed cancer and the third leading cause of cancer death in the United States. Twin cohort studies indicate that inherited susceptibility accounts for approximately 35% of all CRC cases, but only 5-6% of CRC cases can be attributed to known functional mutations. We were the first to identify a germline mutation in Transforming Growth Factor Beta Receptor 1 (TGFBR1) that is also somatically acquired in tumors, a 9 bp in frame deletion within exon 1 (rs11466445), which results in a receptor with decreased TGF-β signaling properties. The observed association between this hypomorphic variant and cancer risk led us to hypothesize that constitutively decreased TGF-β signaling may contribute to the development of CRC.
In this dissertation, we developed a novel mouse model of Tgfbr1 haploinsufficiency (Tgfbr1+/−) and found that Tgfbr1+/− mice were twice as likely as Tgfbr1+/+ mice to develop CRC. We subsequently identified two human haplotypes associated with constitutively decreased TGFBR1 expression and CRC risk and found that decreased TGFBR1 expression is strongly associated with three SNPs: rs7034462, rs11466445 and rs11568785. Further examination of TGFBR1 haplotype tagging SNPs suggests that the TGFBR1 rs7034462-TT is a novel moderate penetrance risk genotype, which has high penetrance among African Americans, the ethnic group with the highest risk for CRC. Our results provide strong support for the novel notion that rs7034462-TT is a potentially clinically relevant CRC susceptibility genotype that may identify individuals at high risk of dying from CRC.
Parodi, Livia. "Identification of genetic modifiers in Hereditary Spastic Paraplegias due to SPAST/SPG4 mutations Spastic paraplegia due to SPAST mutations is modified by the underlying mutation and sex Hereditary spastic paraplegia: More than an upper motor neuron disease." Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS317.
Full textHereditary Spastic Paraplegias (HSPs) are a group of rare, inherited, neurodegenerative disorders that arise following the progressive degeneration of the corticospinal tracts, leading to lower limbs spasticity, the disorder hallmark. HSPs are characterized by an extreme heterogeneity that encompasses both genetic and clinical features, extending to additional disorder’s features, such as age of onset and severity. This phenotypic variability is typically observed among HSP patients carrying pathogenic mutations in SPAST, the most frequently mutated HSP causative gene. After assembling a cohort of 842 SPAST-HSP patients, a combination of different Next Generation Sequencing approaches was used to dig deeper into the causes of the observed heterogeneity, especially focusing on the identification of age of onset genetic modifiers. Sequencing data resulting from Whole Genome Genotyping were used to perform both association and linkage analysis that, combined with RNA sequencing expression data, allowed to identify different candidate variants/genes, potentially acting as SPAST-HSP age of onset modifiers
Louis, Jeanne. "Syndrοme de Li-Fraumeni : apprοches fοnctiοnnelles visant à appréhender la variabilité génοtypique et phénοtypique." Electronic Thesis or Diss., Normandie, 2025. http://www.theses.fr/2025NORMR002.
Full textLi-Fraumeni Syndrome (LFS) predisposes carriers of pathogenic TP53 variants to a wide spectrum of cancers throughout life. The phenotypic variability of LFS complicates patient management and can be partly attributed to the type of TP53 variant, as well as the influence of genetic modifier factors. To evaluate these modifier factors, it is essential to develop suitable functional tests.The activity of p53 isoforms suggests that they may act as modifier factors in LFS. Consequently, we developed assays for analyzing alternative transcripts, as presented in the first part of this work. While our results demonstrated that these assays were not well-suited to addressing this specific hypothesis, they nevertheless led us to the discovery of a novel physiological transcript not previously described in the literature. This transcript was found to be increased in a patient carrying a variant located at the splice acceptor site of TP53’s last exon, revealing an alternative splicing event involving TP53’s final exon and an alternative terminal exon located more than 2 kb downstream.To facilitate the classification of TP53 variants, our laboratory evaluates p53’s transcriptional activity in the patient’s specific genetic context. However, this approach does not allow us to fully disentangle the potential influence of individual genetic modifier factors. Therefore, in the second part of this work, we developed a human-induced pluripotent stem cell model to study TP53 variants introduced by CRISPR-Cas9 within a standardized genetic background. Our findings highlight the importance of physiological TP53 expression, particularly for studying variants with lower penetrance compared to "hot-spot" variants. Additionally, we show that in-frame variants exert differential impacts on p53’s functional activity, depending on the protein domain in which they are located. The advantage of our model also lies in its heterozygosity for PEX4, into which we were able to insert a second variant, in this case, the p.(Pro47Ser) polymorphism, inserted in trans with a pathogenic variant. Our results highlight the importance of the genetic context in the analysis of TP53 variants. This thesis work emphasizes the necessity of studying p53 transcriptional activity in a physiological context, without overexpression, with the aim of improving our understanding of this syndrome and optimizing the management of LFS patients
Olson, Theodore. "Transcriptional Regulation of Neurogenic Atrophy-Induced Gene Expression by Muscle Ring Finger-1 and Myogenic Regulatory Factors." UNF Digital Commons, 2014. http://digitalcommons.unf.edu/etd/495.
Full textArnaud, Pauline. "Identification de nouveaux gènes et de facteurs de gravité dans les formes familiales d'anévrisme de l'aorte ascendante." Thesis, Sorbonne Paris Cité, 2019. http://www.theses.fr/2019USPCC098.
Full textPatients who present a Marfan syndrome (MFS) have different clinical features, affecting several systems, including the cardiovascular, the ocular and the skeletal systems. The phenotypic variability is high, between individuals from different families, and within families. Cardiovascular features, that is to say Thoracic Aortic Aneurysm (TAA), and aortic dissection, are life-threatening. MFS and familial forms of TAA are transmitted as autosomal dominant diseases. At least 29 genes have already been associated with TAA. Some of them encode extracellular matrix proteins, such as the fibrillin-1. TGF-βsignaling also has a key role in the physiopathology of these diseases. For some families, the causal molecular defect had not been identified, highlighting a part of missing heritability. Furthermore, the genetic architecture underlying the phenotypic variability is still unknown. The first objective was to identify new disease causing genes in familial forms of TAA. A WES strategy was applied to several families, leading to the identification of a new disease causing gene, the LOXgene. The contribution of the different genes to non syndromic forms of TAA was then evaluated.The second objective was to identify mechanisms and genetic factors that explain MFS severity. A study was focused on the FBN1 locus and lead to the identification of moderate forms associated to two hypomorphic alleles. We also noticed that some patients have two variants in two known disease causing genes, underlying a mechanism of severity linked to a double heterozygosity.Through the crossmapping of different genomic strategies, it was possible to identify 3 major modifiers loci and 6 putative modifiers loci. Some of them were located near genes encoding proteins involved in the BMP pathway, which is close to the TGF-β pathway. Significant differences in the expression of SMAD1, SMAD6 and MEF2C genes were observed in different aortic smooth muscle celllines from MFS patients. This highlight new regulation processes in the BMP pathway depending onthe type of the initial pathogenic variant. Finally, comparing human and murine experimental data, we found that common signaling pathways associated with muscle cell contractility are down regulated in MFS, identifying a new potential therapeutic target, the baclofen
Fruchon, Séverine. "Modulation de la surcharge en fer dans un modèle murin d'hémochromatose : mise en évidence de facteurs génétiques et études d'expression génique." Toulouse 3, 2004. http://www.theses.fr/2004TOU30274.
Full textType 1 genetic hemochromatosis is characterised by an iron overload in parenchyme organs. A mutation (C282Y) in the HFE gene is the cause of the disease which is very frequent in the populations of North West Europe origins. Recent epidemiological studies revealed an incomplete penetrance and a variable expression of the disease. Involvement of non genetic factors (age, nutrition, regular blood donations. . . ) and of genetic factors can explain this picture. To characterise the role of the genetic factors in hepatic iron loading, we have used the Hfe-/- mouse as a murine model of hereditary hemochromatosis. The comparative study of 4 consanguineous mouse strains (DBA/2, C57BL/6, CBA and 129/Sv) showed differences in the regulation of iron metabolism between strains. Hfe-/- mice with two different genetic backgrounds (C57BL/6 and DBA/2) showed differences on iron overload levels which are controlled by other genes modulating HFE gene. We showed that in these two Hfe-/- strains, the iron overload levels and the transcriptional regulations in duodenum are different. Screening the whole genome, four chromosomic regions with a significant LOD score of genetic linkage were identified. The mRNA expression was quantified for hepcidin and other molecules among the two strains of Hfe-/- mice. Though there was no significant differences in hepcidin 1 mRNA levels between the Hfe-/- and Hfe+/+ mice, our results showed that there was higher mRNA expression for hepcidin 1 than for hepcidin 2 in C57BL/6 mice and the opposite was observed in DBA/2 mice
Winbo, Annika. "Long QT syndrome in Sweden : founder effects and associated cardiac phenotypes." Doctoral thesis, Umeå universitet, Pediatrik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-57724.
Full text"Transgenic expression of human granulocyte colony-stimulating factor in rice." 2005. http://library.cuhk.edu.hk/record=b5892380.
Full textThesis (M.Phil.)--Chinese University of Hong Kong, 2005.
Includes bibliographical references (leaves 156-174).
Abstracts in English and Chinese.
Acknowledgements --- p.iii
Abstract --- p.v
摘要 --- p.vii
Table of Contents --- p.ix
List of Figures --- p.xiii
List of Tables --- p.xvi
List of Graphs --- p.xvii
List of Abbreviations --- p.xviii
Chapter Chapter 1 --- General Introduction --- p.1
Chapter Chapter 2 --- Literature Review --- p.3
Chapter 2.1 --- Human granulocyte colony-stimulating factor (hG-CSF) --- p.3
Chapter 2.1.1 --- Historical background --- p.3
Chapter 2.1.2 --- Physiological Roles --- p.5
Chapter 2.1.3 --- Molecular properties --- p.8
Chapter 2.1.4 --- Biochemical properties --- p.9
Chapter 2.1.5 --- Comparison to G-CSF of other species --- p.11
Chapter 2.1.6 --- Biological Activities --- p.12
Chapter 2.1.7 --- Clinical Applications --- p.14
Chapter 2.1.7.1 --- Clinical use in myelosuppressive chemotherapy and neutropenic fever --- p.14
Chapter 2.1.7.2 --- Clinical use in bone marrow transplantation (BMT) and peripheral blood progenitor cell (PBPC) transplantation --- p.14
Chapter 2.1.7.3 --- Clinical use in HIV infection --- p.16
Chapter 2.1.7.4 --- Clinical use in diabetes mellitus --- p.17
Chapter 2.1.7.5 --- Clinical use in severe chronic neutropenia --- p.18
Chapter 2.1.7.6 --- Future prospects --- p.18
Chapter 2.1.7.7 --- Dosages and adverse effects --- p.19
Chapter 2.1.8 --- Economic value --- p.20
Chapter 2.2 --- Plant as bioractor --- p.20
Chapter 2.2.1 --- Medical molecular farming --- p.20
Chapter 2.2.2 --- Commercial biopharmaceutical proteins --- p.25
Chapter 2.2.3 --- Transgenic plants producing hematopoietic growth factors --- p.25
Chapter 2.2.3.1 --- Granulocyte-macrophage colony-stimulating factor (GM-CSF) --- p.26
Chapter 2.2.3.2 --- Interleukin-2 (IL-2) --- p.28
Chapter 2.3 --- Rice as expression system --- p.29
Chapter 2.3.1 --- Characteristics --- p.29
Chapter 2.3.2 --- Advantages of using rice as bioreactor --- p.30
Chapter 2.3.3 --- Previous studies --- p.31
Chapter 2.3.4 --- Transformation method --- p.33
Chapter 2.3.5 --- Super-binary vector --- p.34
Chapter 2.4 --- Strategies for enhancing protein expression level --- p.36
Chapter 2.4.1 --- Vacuolar targeting --- p.36
Chapter 2.4.1.1 --- Protein targeting signals --- p.38
Chapter 2.4.1.2 --- Binding protein of 80kDa (BP-80) --- p.39
Chapter 2.4.1.3 --- a-Tonoplast intrinsic protein (α-TIP) --- p.39
Chapter 2.4.1.4 --- Receptor homology region-transmembrane domain-Ring H2 motif (RMR) --- p.40
Chapter 2.4.2 --- Fusion with glutelin in rice --- p.41
Chapter 2.5 --- Hypotheses and aims of this study --- p.43
Chapter Chapter 3 --- Materials and Methods --- p.45
Chapter 3.1 --- Introduction --- p.45
Chapter 3.2 --- Chemicals --- p.45
Chapter 3.3 --- Bacterial strains --- p.46
Chapter 3.4 --- Chimeric genes construction --- p.46
Chapter 3.4.1 --- Protein targeting constructs --- p.51
Chapter 3.4.2 --- Enterokinase site constructs --- p.60
Chapter 3.4.3 --- Glutein signal peptide constructs --- p.65
Chapter 3.4.4 --- Glutelin fusion constructs --- p.70
Chapter 3.4.5 --- Sequence fidelity of chimeric genes --- p.77
Chapter 3.4.6 --- Cloning of chimeric genes into rice super-binary vector --- p.77
Chapter 3.5 --- Rice transformation --- p.79
Chapter 3.5.1 --- Plant materials --- p.79
Chapter 3.5.2 --- Agrobacterium transformation --- p.79
Chapter 3.5.3 --- A grobacterium-mediated transformation of rice --- p.79
Chapter 3.6 --- Transgenic expression --- p.81
Chapter 3.6.1 --- Extraction of leaf genomic DNA --- p.81
Chapter 3.6.2 --- Synthesis of DIG-labeled double-stranded DNA probe --- p.82
Chapter 3.6.3 --- Southern blot analysis --- p.83
Chapter 3.6.4 --- Extraction of total RNA from immature rice seeds --- p.84
Chapter 3.6.5 --- Northern blot analysis --- p.85
Chapter 3.6.6 --- Protein extraction --- p.86
Chapter 3.6.7 --- Tricine SDS-PAGE --- p.86
Chapter 3.6.8 --- Western blot analysis --- p.87
Chapter 3.6.9 --- Enterokinase digestion of EK fusion proteins --- p.88
Chapter 3.7 --- Confocal immunoflorescence studies of rhG-CSF in rice grain --- p.89
Chapter 3.7.1 --- Preparation of sample sections --- p.89
Chapter 3.7.2 --- Double-labeling of fluorescence probes --- p.89
Chapter 3.7.3 --- Image collection --- p.90
Chapter 3.8 --- Functional analysis of rhG-CSF --- p.91
Chapter 3.8.1 --- Culture of NFS-60 cells --- p.91
Chapter 3.8.2 --- MTT cell proliferation assay --- p.92
Chapter 3.9 --- Bacterial expression of anti-hG-CSF --- p.93
Chapter 3.9.1 --- pET expression in E. coli --- p.93
Chapter 3.9.2 --- Purification of His-hG-CSF --- p.97
Chapter 3.9.3 --- Immunization of rabbits --- p.97
Chapter Chapter 4 --- Results --- p.99
Chapter 4.1 --- Construction of chimeric genes for rice transformation --- p.99
Chapter 4.2 --- "Rice transformation, selection and regeneration" --- p.103
Chapter 4.3 --- Southern blot analysis --- p.105
Chapter 4.4 --- Northern blot analysis --- p.109
Chapter 4.5 --- Western blot analysis --- p.114
Chapter 4.6 --- Enterokinase digestion of EK fusion proteins --- p.125
Chapter 4.7 --- Confocal immunofluorescence studies of rhG-CSF in transgenic rice grain --- p.128
Chapter 4.8 --- Functional analysis of rhG-CSF --- p.132
Chapter 4.9 --- Bacterial expression of anti-hG-CSF --- p.135
Chapter 4.9.1 --- Expression and purification of recombinant His-hG-CSF in E. coli --- p.135
Chapter 4.9.2 --- Titer and specificity of the anti-serum --- p.137
Chapter Chapter 5 --- Discussion --- p.139
Chapter 5.1 --- Introduction --- p.139
Chapter 5.2 --- Fusion of hG-CSF with protein sorting determinants --- p.141
Chapter 5.3 --- Fusion of hG-CSF with rice glutelin --- p.145
Chapter 5.4 --- Glutelin signal peptide --- p.146
Chapter 5.5 --- O-glycosylation --- p.148
Chapter 5.6 --- Enterokinase digestion --- p.148
Chapter 5.7 --- Expression level of rhG-CSF --- p.149
Chapter 5.8 --- Functional analysis of rhG-CSF --- p.151
Chapter 5.9 --- Future perspectives --- p.151
Chapter Chapter 6 --- Conclusion --- p.155
References --- p.156
Books on the topic "Genetic modifier factors"
Leo n, Rosa, Ph. D., Galva n. Aurora, and Ferna ndez Emilio, eds. Transgenic microalgae as green cell factories. New York, N.Y: Springer Science+Business Media/Landes Bioscience, 2007.
Find full textEithan, Galun, ed. The manufacture of medical and health products by transgenic plants. London: Imperial College Press, 2001.
Find full textLeVine III, Harry. Genetic Engineering. 2nd ed. ABC-CLIO, 2006. http://dx.doi.org/10.5040/9798400656170.
Full textYang, Jin, Pei Han, Wei Li, and Ching-Pin Chang. Epigenetics and post-transcriptional regulation of cardiovascular development. Edited by José Maria Pérez-Pomares, Robert G. Kelly, Maurice van den Hoff, José Luis de la Pompa, David Sedmera, Cristina Basso, and Deborah Henderson. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198757269.003.0032.
Full textBiopharmaceuticals in plants: Toward the next century of medicine. Boca Raton: Taylor & Francis, 2010.
Find full textKwabi-Addo, Bernard, and Tia Laura Lindstrom. Cancer Causes and Controversies. ABC-CLIO, LLC, 2011. http://dx.doi.org/10.5040/9798400623189.
Full textBook chapters on the topic "Genetic modifier factors"
Spittau, Björn, Eleni Roussa, Klaus Unsicker, and Kerstin Krieglstein. "Transforming Growth Factor-Beta Superfamily: Animal Models for Development and Disease." In Genetically Modified Organisms and Genetic Engineering in Research and Therapy, 39–49. Basel: S. KARGER AG, 2012. http://dx.doi.org/10.1159/000339188.
Full textGlatt, Stephen J., Stephen V. Faraone, and Ming T. Tsuang. "How Does the Environment Influence Schizophrenia?" In Schizophrenia. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198813774.003.0012.
Full textRozen, Rima. "Genetic Risk Factors for Neural Tube Defects: Variants in Folate Metabolism." In Neural Tube Defects, 176–84. Oxford University PressNew York, NY, 2005. http://dx.doi.org/10.1093/oso/9780195166033.003.0015.
Full textShore, Angela C. "Pathogenesis of microvascular disease." In Oxford Textbook of Endocrinology and Diabetes, 1920–24. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199235292.003.1506.
Full textTaylor, Kathleen. "4. Risk factors." In Dementia: A Very Short Introduction, 74–104. Oxford University Press, 2020. http://dx.doi.org/10.1093/actrade/9780198825784.003.0004.
Full textPanja, Amrita, Brahmarshi Das, Tuphan Kanti Dolai, and Sujata Maiti Choudhury. "The Key Genetic Determinants Behind the Phenotypic Heterogeneity of HbE/β-thalassemia Patients and the Probable Management Strategy." In Thalassemia Syndromes - New Insights and Transfusion Modalities [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.109999.
Full textVelankar, Radhika, Gauri Nerkar, Mukta Nagpurkar, and Kiran Jagtap. "Genetically Modified Crops: A Pivotal Endeavor in Biotechnology." In Genetically Modified Organisms [Working Title]. IntechOpen, 2024. http://dx.doi.org/10.5772/intechopen.1005578.
Full text"Genetic Principles." In DNA Fingerprinting, edited by Lorne t. Kirby. Oxford University Press, 1993. http://dx.doi.org/10.1093/oso/9780716770015.003.0005.
Full textThomas, Alison. "Further Mendelian Principles." In Thrive in Genetics. Oxford University Press, 2013. http://dx.doi.org/10.1093/hesc/9780199694624.003.0003.
Full textChen, Qiang. "Plants as Factories for the Production of Protein Biologics." In Plants, Genes & Agriculture. Oxford University Press, 2017. http://dx.doi.org/10.1093/hesc/9781605356846.003.0022.
Full textConference papers on the topic "Genetic modifier factors"
Steffens Henrique, Alisson, Ricardo Martins Brasil Soares, Rudimar Luis Scaranto Dazzi, and Rodrigo Lyra. "Genetic Algorithm in Survival Shooter Games NPCs." In Computer on the Beach. Itajaí: Universidade do Vale do Itajaí, 2020. http://dx.doi.org/10.14210/cotb.v11n1.p413-418.
Full textEinolander, Jarno, and Hannu Vanharanta. "Degree of Commitment Among Students at a Technological University – Testing a New Research Instrument." In Applied Human Factors and Ergonomics Conference. AHFE International, 2020. http://dx.doi.org/10.54941/ahfe100379.
Full textNagy, D. A., Lawrence J. Shadle, Rob Hovsapian, Manish Mohanpurkar, and D. Tucker. "A New Method for Valuing Nontraditional Stakeholder Parameters in Novel Power Systems Analysis." In ASME Power Applied R&D 2023. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/power2023-108956.
Full textSanthanam, Sridhar. "A Method to Extract Interface Stress Intensity Factors Using Interlayers." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79651.
Full textBárcena Pasamontes, Lucía, Fernando Gómez Torres, Daniel Zwick, Sebastian Schafhirt, and Michael Muskulus. "Support Structure Optimization for Offshore Wind Turbines With a Genetic Algorithm." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-24252.
Full textKaminski, Meghan, Andrew D'Hooge, and Zackery Borton. "Design Parameter Impact of Wind-Averaged Drag Optimization." In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2025. https://doi.org/10.4271/2025-01-8772.
Full textGideon, Olugbenga, Thomas Ulrich, Roger Lew, Benjamin Barton, and Zethnouneay Dubois. "Early-Stage Usability Testing of Thermal Power Dispatch Simulator Using Novice Operators." In 15th International Conference on Applied Human Factors and Ergonomics (AHFE 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005026.
Full textLarsen, Glann R., Mark Metzger, Yitzak Blue, and Kim Henson. "PHARMACOKINETICS OF GENETICALLY MODIFIED T-PA IN RAT." In XIth International Congress on Thrombosis and Haemostasis. Schattauer GmbH, 1987. http://dx.doi.org/10.1055/s-0038-1644614.
Full textBudiyanto, Agung, Erif Maha Nugraha Setyawan, Dwi Sunu Datrianto, Dony Nurcahya, and Budi Pramono. "Application of Artificial Insemination (AI) Tool Based on Oestrus Automatic Detection to Improve Goat Pregnancy in Yogyakarta." In 3rd International Conference on Community Engagement and Education for Sustainable Development. AIJR Publisher, 2023. http://dx.doi.org/10.21467/proceedings.151.3.
Full textKorkmaz, Jessica, and Raymond Ghajar. "The Modified hybrid Multi-Objective Genetic Algorithm and Loss Sensitivity Factor for Optimal Siting and Sizing of PV-Based Distributed Generation in Distribution Networks." In 2023 IEEE 4th International Multidisciplinary Conference on Engineering Technology (IMCET). IEEE, 2023. http://dx.doi.org/10.1109/imcet59736.2023.10368224.
Full textReports on the topic "Genetic modifier factors"
Crawford, Keith W. Genetic Susceptibility Factors in Aggressive Breast Cancer in African-American Women and the Effects of Carcinogens and Modifiers. Fort Belvoir, VA: Defense Technical Information Center, May 1998. http://dx.doi.org/10.21236/ada353792.
Full textFluhr, Robert, and Volker Brendel. Harnessing the genetic diversity engendered by alternative gene splicing. United States Department of Agriculture, December 2005. http://dx.doi.org/10.32747/2005.7696517.bard.
Full textHanda, Avtar K., Yuval Eshdat, Avichai Perl, Bruce A. Watkins, Doron Holland, and David Levy. Enhancing Quality Attributes of Potato and Tomato by Modifying and Controlling their Oxidative Stress Outcome. United States Department of Agriculture, May 2004. http://dx.doi.org/10.32747/2004.7586532.bard.
Full textDelmer, Deborah, Nicholas Carpita, and Abraham Marcus. Induced Plant Cell Wall Modifications: Use of Plant Cells with Altered Walls to Study Wall Structure, Growth and Potential for Genetic Modification. United States Department of Agriculture, May 1995. http://dx.doi.org/10.32747/1995.7613021.bard.
Full textWideman, Jr., Robert F., Nicholas B. Anthony, Avigdor Cahaner, Alan Shlosberg, Michel Bellaiche, and William B. Roush. Integrated Approach to Evaluating Inherited Predictors of Resistance to Pulmonary Hypertension Syndrome (Ascites) in Fast Growing Broiler Chickens. United States Department of Agriculture, December 2000. http://dx.doi.org/10.32747/2000.7575287.bard.
Full textChamovitz, Daniel, and Albrecht Von Arnim. Translational regulation and light signal transduction in plants: the link between eIF3 and the COP9 signalosome. United States Department of Agriculture, November 2006. http://dx.doi.org/10.32747/2006.7696515.bard.
Full textOlszewski, Neil, and David Weiss. Role of Serine/Threonine O-GlcNAc Modifications in Signaling Networks. United States Department of Agriculture, September 2010. http://dx.doi.org/10.32747/2010.7696544.bard.
Full textApplebaum, Shalom W., Lawrence I. Gilbert, and Daniel Segal. Biochemical and Molecular Analysis of Juvenile Hormone Synthesis and its Regulation in the Mediterranean Fruit Fly (Ceratitis capitata). United States Department of Agriculture, 1995. http://dx.doi.org/10.32747/1995.7570564.bard.
Full textBarash, Itamar, and Robert E. Rhoads. Translational Mechanisms that Govern Milk Protein Levels and Composition. United States Department of Agriculture, November 2004. http://dx.doi.org/10.32747/2004.7586474.bard.
Full textGlazer, Itamar, Alice Churchill, Galina Gindin, and Michael Samish. Genomic and Organismal Studies to Elucidate the Mechanisms of Infectivity of Entomopathogenic Fungi to Ticks. United States Department of Agriculture, January 2013. http://dx.doi.org/10.32747/2013.7593382.bard.
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