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Journal articles on the topic 'Genes'

To see the other types of publications on this topic, follow the link: Genes.

Author: Grafiati

Published: 4 June 2021

Last updated: 31 August 2024

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1

Beiter, T., and M. Velders. "Pimp My Genes - Gendoping zwischen Fakten und Fiktionen." Deutsche Zeitschrift für Sportmedizin 2012, no. 05 (May 1, 2012): 121–31. http://dx.doi.org/10.5960/dzsm.2012.019.

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2

Watts, G. "Genes, genes, genes." BMJ 326, no. 7392 (April 5, 2003): 732. http://dx.doi.org/10.1136/bmj.326.7392.732.

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3

Hogarth, Stuart, and Richard Sullivan. "Genes, genes, genes." Lancet Oncology 14, no. 3 (March 2013): e88. http://dx.doi.org/10.1016/s1470-2045(13)70042-1.

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4

Liu, Junjie, Peng Li, Liuyang Lu, Lanfen Xie, Xiling Chen, and Baizhong Zhang. "Selection and evaluation of potential reference genes for gene expression analysis in Avena fatua Linn." Plant Protection Science 55, No. 1 (November 20, 2018): 61–71. http://dx.doi.org/10.17221/20/2018-pps.

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Eight commonly used candidate reference genes, 18S ribosomal RNA (rRNA) (18S), 28S rRNA (28S), actin (ACT), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), elongation factor 1 alpha (EF1α), ribosomal protein L7 (RPL7), Alpha-tubulin (α-TUB), and TATA box binding protein-associated factor (TBP), were evaluated under various experimental conditions to assess their suitability in different developmental stages, tissues and herbicide treatments in Avena fatua. The results indicated the most suitable reference genes for the different experimental conditions. For developmental stages, 28S and EF1α were the optimal reference genes, both EF1α and 28S were suitable for experiments of different tissues, whereas for herbicide treatments, GAPDH and ACT were suitable for normalizations of expression data. In addition, GAPDH and EF1α were the suitable reference genes.

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5

Wei, X. K., Y. Z. Zhong, Y. Pan, X. N. Li, J. J. Liang, and T. R. Luo. "The N and P genes facilitate pathogenicity of the rabies virus G gene." Veterinární Medicína 63, No. 12 (December 3, 2018): 561–70. http://dx.doi.org/10.17221/63/2018-vetmed.

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To explore the effects of different gene combinations on the pathogenicity of the rabies virus (RABV), six chimeric RABV mutants, rRC-HL(G), rRC-HL(NG), rRC-HL(PG), rRC-HL(NP), rRC-HL(NM) and rRC-HL(NPG), were constructed using a reverse genetic technique based on an avirulent parental rRC-HL strain and a virulent parental GX074 isolate. These mutants were intracerebrally inoculated into adult mice. The results indicated that 10<sup>2</sup> ffu and 10<sup>6</sup> ffu of rRC-HL(G), rRC-HL(NG), rRC-HL(PG) and rRC-HL(NPG) were 100% lethal. In the case of intramuscular viral infection, none of the mice inoculated with 10<sup>2 </sup>ffu of any of the RABV mutants, including GX074, died; at 10<sup>6 </sup>ffu, rRC-HL(G) was lethal in 2/5 cases, rRC-HL(NG) was lethal in 1/5 cases and rRC-HL(PG) was lethal for 2/5 mice. The rRC-HL(NPG) mutant was fatal for 3/5 mice, as was the parental GX074. Furthermore, the LD<sub>50</sub> values of the chimeric RABV mutants were measured, with the results showing that the LD<sub>50</sub> values of both rRC-HL(NG) and rRC-HL(PG) were lower than that of rRC-HL(G), but higher than that of rRC-HL(NPG). Thus, the action of N + G, or P + G, or N + P + G gene combinations may be more pronounced than that of the G gene alone. Body weight changes and the clinical symptoms of the tested mice were consistent with pathogenicity. These data indicate that the N and P genes are involved in and facilitate the pathogenicity of the RABV G gene. These experiments provide further evidence that multi-gene cooperation is responsible for the virulence of RABV.

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6

Faltusová, Zuzana, Kateřina Vaculová, Jozef Pavel, Ilona Svobodová, Jana Hajšlová, and Jaroslava Ovesná. "Fusarium culmorum Tri genes and barley Hvugt13248 gene transcription in infected barley cultivars." Plant Protection Science 55, No. 3 (May 17, 2019): 172–80. http://dx.doi.org/10.17221/21/2018-pps.

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The transcription activities of genes somehow associated with the mycotoxin deoxynivalenol (DON) biosynthesis, namely Fusarium Tri genes, and the barley gene coding for UDP-glycosyltransferase (HvUGT13248) on different genetic backgrounds were compared. Determining the amount of the pathogen DNA was used as a useful tool for evaluating the infestation of barley cultivars. Amounts of the pathogen DNA differed in six barley cultivars infected by F. culmorum. Transcription of HvUGT13248 was related to DON content in the samples. Low pathogenic infection and low DON content were accompanied by increased Fusarium Tri10 transcription in resistant cv. Amulet. This finding confirmed our recent results and makes us propose using this change as a possible marker of barley resistance against Fusarium.

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7

O'Hare, Kevin. "Genes within genes." Trends in Genetics 2 (January 1986): 33. http://dx.doi.org/10.1016/0168-9525(86)90167-8.

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8

McCarthy, Nicola. "Genes, genes everywhere..." Nature Reviews Cancer 12, no. 8 (July 5, 2012): 507. http://dx.doi.org/10.1038/nrc3323.

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9

Li, M., X. Wu, X. Guo, P. Bao, X. Ding, M. Chu, C. Liang, and P. Yan. "Identification of optimal reference genes for examination of gene expression in different tissues of fetal yaks." Czech Journal of Animal Science 62, No. 10 (September 11, 2017): 426–34. http://dx.doi.org/10.17221/75/2016-cjas.

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Reverse transcription quantitative real-time PCR (RT-qPCR) is widely used to study the relative abundance of mRNA transcripts because of its sensitivity and reliable quantification. However, the reliability of the interpretation of expression data is influenced by several complex factors, including RNA quality, transcription activity, and PCR efficiency, among others. To avoid experimental errors arising from potential variation, the selection of appropriate reference genes to normalize gene expression is essential. In this study, 10 commonly used reference genes – ACTB, B2M, HPRT1, GAPDH, 18SrRNA, 28SrRNA, PPIA, UBE2D2, SDHA, and TBP – were selected as candidate reference genes for six fetal tissues (heart, liver, spleen, lung, kidney, and forehead skin) of yak (Bos grunniens). The transcription stability of the candidate reference genes was evaluated using geNorm, NormFinder, and BestKeeper. The results showed that the combination of TBP and ACTB provided high-quality data for further study. In contrast, the commonly used reference genes 28SrRNA, SDHA, GAPDH, and B2M should not be used for endogenous controls because of their unstable expression in this study. The reference genes that could be used in future gene expression studies in yaks were indentified.

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10

Ge, Dongya, and Yixue Li. "Songs of Genes, by Genes, for Genes." Leonardo 45, no. 1 (February 2012): 96–97. http://dx.doi.org/10.1162/leon_a_00349.

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The authors have defined a new concept of “base_position” and translated the protein-coding sequence to a sequence consisting of 12 base_positions. The authors developed a new algorithm for translating the base_position sequence to a melody with a range of at most a twelfth and without leaps larger than an octave, which should be turned upside-down by a step or small skip after a big leap and was used as the musical theme. The lyric was written according to the summary of the gene. The authors propose a new action of expressing respect to genes by creating songs of genes, by genes, for genes.

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11

Nesvadbová, M., and A. Knoll. "Evaluation of reference genes for gene expression studies in pig muscle tissue by real-time PCR." Czech Journal of Animal Science 56, No. 5 (May 30, 2011): 213–16. http://dx.doi.org/10.17221/1428-cjas.

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The selection of reference genes is essential for gene expression studies when using a real-time quantitative polymerase chain reaction (PCR). Reference gene selection should be performed for each experiment because the gene expression level may be changed in different experimental conditions. In this study, the stability of mRNA expression was determined for seven genes: HPRT1, RPS18, NACA, TBP, TAF4B, RPL32 and OAZ1. The stability of these reference genes was investigated in the skeletal muscle tissue of pig foetuses, piglets and adult pigs using real-time quantitative PCR and SYBR green chemistry. The expression of stability of the used reference genes was calculated using the geNorm application. Different gene expression profiles among the age categories of pigs were found out. RPS18 has been identified as the gene with the most stable expression in the muscle tissue of all pig age categories. HPRT1 and RPL32 were found to have the highest stability in piglets and adult pigs, and in foetuses and adults pigs, respectively. The newly used reference gene, TAF4B, reached the highest expression stability in piglets.

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12

Covey, Simon N. "Silencing genes silencing genes." Trends in Plant Science 5, no. 10 (October 2000): 405–6. http://dx.doi.org/10.1016/s1360-1385(00)01745-3.

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13

Ko, MSH. "O▪65 Genes, genes, and more genes." Reproductive BioMedicine Online 10 (January 2005): 21. http://dx.doi.org/10.1016/s1472-6483(11)60286-1.

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14

Abbasi, Kobra, and Elahe Tajbakhsh. "Prevalence of Shiga toxin genes and intimin genes in uropathogenic Escherichia coli." Journal of Coastal Life Medicine 3, no. 10 (October 2015): 791–96. http://dx.doi.org/10.12980/jclm.3.2015j5-142.

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15

Soni, Navneet Omprakash. "Biodegradable Nanoparticles for Delivering Drugs and Silencing Multiple Genes or Gene activation in Diabetic Nephropathy." International Journal of Life-Sciences Scientific Research 3, no. 5 (September 2017): 1329–38. http://dx.doi.org/10.21276/ijlssr.2017.3.5.11.

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16

Belsky, J., C. Jonassaint, M. Pluess, M. Stanton, B. Brummett, and R. Williams. "Vulnerability genes or plasticity genes?" Molecular Psychiatry 14, no. 8 (May 19, 2009): 746–54. http://dx.doi.org/10.1038/mp.2009.44.

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17

Ellis, J. Christopher, and James W. Brown. "Genes within genes within bacteria." Trends in Biochemical Sciences 28, no. 10 (October 2003): 521–23. http://dx.doi.org/10.1016/j.tibs.2003.08.002.

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18

Piro, Rosario Michael. "Are all genes regulatory genes?" Biology & Philosophy 26, no. 4 (March 29, 2011): 595–602. http://dx.doi.org/10.1007/s10539-011-9251-9.

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19

Graham, Geoffrey J. "Tandem genes and clustered genes." Journal of Theoretical Biology 175, no. 1 (July 1995): 71–87. http://dx.doi.org/10.1006/jtbi.1995.0122.

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20

Milner, Caroline M., and R. Duncan Campbell. "Genes and Genomes: Genes, Genes and More Genes in the Human Major Histocompatibility Complex." BioEssays 14, no. 8 (August 1992): 565–71. http://dx.doi.org/10.1002/bies.950140814.

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21

Prohaska, Sonja J., and Peter F. Stadler. "“Genes”." Theory in Biosciences 127, no. 3 (March 5, 2008): 215–21. http://dx.doi.org/10.1007/s12064-008-0025-0.

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22

Sathyanarayana Rao, TS, KS Jagannatha Rao, and MR Asha. "Drooping genes v/s dancing genes." Indian Journal of Psychiatry 51, no. 3 (2009): 167. http://dx.doi.org/10.4103/0019-5545.55080.

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23

Eckert, Richard L., James F. Crish, Eric B. Banks, and Jean F. Welter. "The Epidermis: Genes On – Genes Off." Journal of Investigative Dermatology 109, no. 4 (October 1997): 501–9. http://dx.doi.org/10.1111/1523-1747.ep12336477.

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24

Da Costa, L. T., J. Jen, T. C. He, T. A. Chan, K. W. Kinzler, and B. Vogelstein. "Converting cancer genes into killer genes." Proceedings of the National Academy of Sciences 93, no. 9 (April 30, 1996): 4192–96. http://dx.doi.org/10.1073/pnas.93.9.4192.

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25

Urcelay, E., E. G. de la Concha, and A. Martínez. "OCTN genes: Susceptibility genes for autoimmune diseases?" Inmunología 26, no. 2 (April 2007): 87–96. http://dx.doi.org/10.1016/s0213-9626(07)70078-1.

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26

Akam, Michael. "Hox genes: From master genes to micromanagers." Current Biology 8, no. 19 (September 1998): R676—R678. http://dx.doi.org/10.1016/s0960-9822(98)70433-6.

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27

IHLE, J. N. "Transforming Genes: Oncogenes, Genes, and Growth Factors." Science 237, no. 4818 (August 28, 1987): 1060–61. http://dx.doi.org/10.1126/science.237.4818.1060-a.

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28

Mora-Avilés, M. A. "EXPRESIÓN DE GENES RELACIONADOS CON LA PATOGENICIDAD EN PLANTAS DE BRÓCOLI EXPRESANDO EL GEN ENDOQUITINASA DE Trichoderma harzianum." Revista Chapingo Serie Horticultura X, no. 2 (December 2004): 141–46. http://dx.doi.org/10.5154/r.rchsh.2003.04.028.

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29

Orozco-Hernández, Juan Pablo, Daniel Stiven Marín-Medina, Manuel A. Martínez-Muñoz, and José W. Martínez. "Breast Cancer Predisposition Genes." Salud Uninorte 34, no. 3 (February 15, 2019): 766–83. http://dx.doi.org/10.14482/sun.34.3.616.99.

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30

Mikami, Koji. "Requirement for Different Normalization Genes for Quantitative Gene Expression Analysis Under Abiotic Stress Conditions in ‘Bangia’ sp. ESS1." Journal of Aquatic Research and Marine Sciences 02, no. 03 (August 28, 2019): 194–205. http://dx.doi.org/10.29199/2639-4618/arms.202037.

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31

Mikami, Koji. "Requirement for Different Normalization Genes for Quantitative Gene Expression Analysis Under Abiotic Stress Conditions in ‘Bangia’ sp. ESS1." Journal of Aquatic Research and Marine Sciences 02, no. 03 (August 28, 2019): 194–205. http://dx.doi.org/10.29199/2639-4618/arms.203037.

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32

Suchocki, T., K. Wojdak-Maksymiec, and J. Szyda. "Using gene networks to identify genes and pathways involved in milk production traits in Polish Holstein dairy cattle." Czech Journal of Animal Science 61, No. 11 (November 17, 2016): 526–38. http://dx.doi.org/10.17221/43/2015-cjas.

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33

Michel, Leclerc, Jolly Ariane, and de la Grange Pierre. "MHC genes in Invertebrates: The Echinodermata." Journal of Clinical Cases & Reports 2, no. 4 (October 31, 2019): 102–5. http://dx.doi.org/10.46619/joccr.2019.2-1049.

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The MHC is a set of genes that codes for cell surface proteins essential for the acquired immune system to recognize foreign molecules in vertebrates and MHC II gene was described in Echinodermata for the first time. For the present time, MHC Class I gene was not found in a significant manner so for concluding the existence of MHC I gene in Echinodermata, further studies will be necessarily done.

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34

Morata Pérez, Ginés. "La historia de los genes homeóticos." Arbor 168, no. 662 (February 28, 2001): 229–46. http://dx.doi.org/10.3989/arbor.2001.i662.833.

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35

Bartke, Andrzej, Michael Bonkowski, and Michal Masternak. "How diet interacts with longevity genes." HORMONES 7, no. 1 (January 15, 2008): 17–23. http://dx.doi.org/10.14310/horm.2002.1111033.

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36

ALkindy, Bassam, Jean-François Couchot, Christophe Guyeux, Arnaud Mouly, Michel Salomon, and Jacques M. Bahi. "Finding the Core-Genes of Chloroplasts." International Journal of Bioscience, Biochemistry and Bioinformatics 4, no. 5 (2014): 361–68. http://dx.doi.org/10.7763/ijbbb.2014.v4.371.

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37

Ramakrishnan, Dr V. "Essential Genes Associated with Diabetic Nephropathy." Diabetes & Obesity International Journal 4, no. 1 (2019): 1–5. http://dx.doi.org/10.23880/doij-16000192.

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The main source which causes kidney diseases is Diabetic Nephropathy, consider as a causative factor leading to significant morbidity and death rate among diabetic patients. The developments of disease risk factors seen in DN are strongly concerned with genetic factors in diabetic patients which eventually develop kidney disease. Numerous genetic factors that are considered to be a risk variant and each possess an insignificant effect, and they are collectively involved in causing disease. The vulnerability loci of several genes like MTHFR, ACE, FRMD3, GLUTI, and TNF-α, eNOS, VGFR, UMOD and RAGE are suspected for developing diabetic nephropathy which is eventually increasing several times. Evolving works in current research recommending that the mutable genetic risk factors associated with DN. In this article mainly highlights the four major genes ACE, TNF-α, UMOD and NOS3, identification of those novel genes can be used as prognostic biomarkers for screening and better understanding of DN pathogenesis

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38

Schorske, Carl E. "L'histoire et l'étude de la culture." Genèses 1, no. 1 (1990): 5–23. http://dx.doi.org/10.3406/genes.1990.1011.

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39

Medick, Hans. "« Missionnaires en canot ». Les modes de connaissance ethnologiques, un défi à l'histoire sociale ?" Genèses 1, no. 1 (1990): 24–46. http://dx.doi.org/10.3406/genes.1990.1012.

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40

Stedman Jones, Gareth. "L'importance de Londres dans l'histoire de la Grande-Bretagne contemporaine." Genèses 1, no. 1 (1990): 47–57. http://dx.doi.org/10.3406/genes.1990.1013.

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41

Noiriel, Gérard. "Naissance du métier d'historien." Genèses 1, no. 1 (1990): 58–85. http://dx.doi.org/10.3406/genes.1990.1014.

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42

Topalov, Christian. "La ville « congestionnée ». Acteurs et langage de la réforme urbaine à New York au début du XXe siècle." Genèses 1, no. 1 (1990): 86–111. http://dx.doi.org/10.3406/genes.1990.1015.

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43

Lamy, Yvon. "Politique patrimoniale et singularité administrative. Les architectes des Bâtiments de France." Genèses 1, no. 1 (1990): 112–30. http://dx.doi.org/10.3406/genes.1990.1016.

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44

Beaud, Olivier. "Les archives saisies par le droit." Genèses 1, no. 1 (1990): 131–43. http://dx.doi.org/10.3406/genes.1990.1018.

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45

Kott, Sandrine. "Les tendances de l'histoire sociale allemande aujourd'hui : entretien avec Jürgen Kocka." Genèses 1, no. 1 (1990): 144–48. http://dx.doi.org/10.3406/genes.1990.1020.

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46

Garbagnati, Lucile. "Dépêche n° 248. Baisse des valeurs sur la bourse de New York. Paul Claudel, analyste des prémices de la crise économique de 1929." Genèses 1, no. 1 (1990): 149–54. http://dx.doi.org/10.3406/genes.1990.1022.

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47

Eidelman, Jacqueline. "L'anti-Ruskin. François Simiand et l'ébauche d'un musée de la technique pour l'Exposition internationale de 1937." Genèses 1, no. 1 (1990): 155–61. http://dx.doi.org/10.3406/genes.1990.1023.

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48

Salais, Robert. "Approches économiques et historiques récentes du marché." Genèses 1, no. 1 (1990): 162–70. http://dx.doi.org/10.3406/genes.1990.1025.

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49

Didry, Claude. "De l'État aux groupes professionnels.Les itinéraires croisés de L. Duguit et É. Durkheim au tournant du siècle (1880-1900)." Genèses 2, no. 1 (1990): 5–27. http://dx.doi.org/10.3406/genes.1990.1028.

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50

Birck, Françoise. "Entre le patronage et l'organisation industrielle. Les cristalleries de Baccarat dans le dernier quart du XIXe siècle." Genèses 2, no. 1 (1990): 29–55. http://dx.doi.org/10.3406/genes.1990.1029.

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