Academic literature on the topic 'Gene expression'

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Journal articles on the topic "Gene expression"

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Ashwin, S. S., and Masaki Sasai. "2P132 Dynamics of transcriptional apparatus in eukaryotic gene expression(08. Molecular genetics & Gene expression,Poster)." Seibutsu Butsuri 53, supplement1-2 (2013): S180. http://dx.doi.org/10.2142/biophys.53.s180_6.

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Takaiwa, F., T. Yoshihara, H. Washida, et al. "Characterization of common cis-regulatory elements responsible for endosperm-specific expression of rice glutelin gene." International Rice Research Notes 21, no. 2-3 (1996): 17. https://doi.org/10.5281/zenodo.7247011.

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This article 'Characterization of common cis-regulatory elements responsible for endosperm-specific expression of rice glutelin gene' appeared in the International Rice Research Notes series, created by the International Rice Research Institute (IRRI) to expedite communication among scientists concerned with the development of improved technology for rice and rice-based systems. The series is a mechanism to help scientists keep each other informed of current rice research findings. The concise scientific notes are meant to encourage rice scientists to communicate with one another to obtain det
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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 (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 che
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Muthukalathi, Selvamani, Ravanan Ramanujam, and Anbupalam Thalamuthu. "Consensus Clustering for Microarray Gene Expression Data." Bonfring International Journal of Data Mining 4, no. 4 (2014): 26–33. http://dx.doi.org/10.9756/bijdm.6140.

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Prima, V. I. "Proposals for the ISS: «Expression» Experiment Gene expression in plants in microgravity." Kosmìčna nauka ì tehnologìâ 6, no. 4 (2000): 100. http://dx.doi.org/10.15407/knit2000.04.101.

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Mirzaei, Alireza, Sara Dezhsetan, Gholamreza Kavoosi, and Mahdi Behnamian. "The Effects of Silveroxide on mRNA Level of Key Genes Involved In the Biosynthesis of Rebaudioside-A in Stevia Rebaudiana." Journal of Cell and Molecular Research 9, no. 2 (2022): 67–72. https://doi.org/10.22067/jcmr.v9i2.69816.

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Stevia rebaudiana bertoni is a plant with sweetening properties. This medicinal plant is perennial and from Asteraceae family. Its leaves contain glycoside compounds of a sugar part and non-sugar sectors. One of the glycosides compounds is RebaudiosideA which has a greater importance in market. Several key regulating genes including copalyl diphosphate synthase (CPPS) (AF034545.1), geranylgeranyl diphosphate synthase (GGDPS) (DQ432013.3), (E)-4-hydroxy-3- methylbut-2-enyl diphosphate synthase (HDS) (FJ755689.1), UDP glucosyltranserase 85C2(UGT85C2)(AY345978.1), UDPglucosyltranserase–74G1
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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 (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
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Li, M., X. Wu, X. Guo, et al. "Identification of optimal reference genes for examination of gene expression in different tissues of fetal yaks." Czech Journal of Animal Science 62, No. 10 (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, 18S
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Vijayachandra, K., K. Palanichelvam, and K. Veluthambi. "Induction of Agrobacterium tumefaciens vir genes by rice." International Rice Research Notes 21, no. 2-3 (1996): 36–37. https://doi.org/10.5281/zenodo.7247093.

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This article 'Induction of Agrobacterium tumefaciens vir genes by rice' appeared in the International Rice Research Notes series, created by the International Rice Research Institute (IRRI) to expedite communication among scientists concerned with the development of improved technology for rice and rice-based systems. The series is a mechanism to help scientists keep each other informed of current rice research findings. The concise scientific notes are meant to encourage rice scientists to communicate with one another to obtain details on the research reported.
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Kemp, Martin. "Gene expression." Nature 446, no. 7135 (2007): 496. http://dx.doi.org/10.1038/446496a.

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Dissertations / Theses on the topic "Gene expression"

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Knight, Deborah. "Novel schizophrenia risk genes and gene expression." Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/47378/.

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ZNF804A was (at the time this work started) one of only a few robustly implicated schizophrenia susceptibility genes, due to replicated genome-wide significant evidence for association between a polymorphism in the gene and schizophrenia. Determining the function of the ZNF804A protein, which is currently unknown, may provide a way of elucidating the pathophysiology of this relatively common, complex disorder. Based on the hypothesis that the ZNF804A protein regulates gene expression or splicing, the aim of this thesis was to identify genes that exhibit altered expression or splicing in brain
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Preuten, Tobias. "Organellar gene expression." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2010. http://dx.doi.org/10.18452/16142.

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Zusätzlich zu der eubakteriellen RNA-Polymerase (RNAP) der Plastiden sind im Zellkern von Arabidopsis thaliana drei weitere, phagentypische RNAP kodiert, die jeweils aus nur einer Einheit aufgebaut sind. Die Enzyme RpoTp und RpoTm werden in die Plastiden, bzw. die Mitochondrien transportiert, während RpoTmp in beiden Organellen zu finden ist. Um die Lichtabhängigkeit der RpoT-Gene zu untersuchen, wurde die lichtinduzierte Akkumulation ihrer Transkripte in 7-Tage alten Keimlingen, sowie 3- bzw. 9-Wochen alten Rosettenblättern mittels quantitativer real-time PCR ermittelt. Die entwicklungsabhäng
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Jia, Yizhen, and 贾亦真. "Bioinformatics study of the lineage and tissue specificity of genes and gene expression." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45540652.

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Berggren, Bremdal Karin. "Evolution of MHC Genes and MHC Gene Expression." Doctoral thesis, Uppsala universitet, Evolutionsbiologi, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-122011.

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Polymorphism in coding regions and regions controlling gene expression is the major determinant of adaptive differences in natural populations. Genes of the major histocompatibility complex (MHC) possess a high level of genetic variation, which is maintained by selection over long coalescence times. MHC genes encode antigen-presenting molecules in the adaptive immune system, which protects the host from infectious diseases. However, MHC molecules may also present self-peptides and for most autoimmune diseases there is a genetic factor associated with the MHC. MHC genes have been used to learn
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Bashiardes, Evy. "Gene polymorphisms, gene expression and atherosclerotic plaques." Thesis, Imperial College London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.420882.

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Smith, Erin N. "Gene-environment interaction in yeast gene expression /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/5025.

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Lemons, Derek Scott. "Gene expression and evolution." Diss., [La Jolla] : University of California, San Diego, 2010. http://wwwlib.umi.com/cr/ucsd/fullcit?p3397172.

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Thesis (Ph. D.)--University of California, San Diego, 2010.<br>Title from first page of PDF file (viewed March 23, 2010). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 98-111).
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Humphries, Clare Ruth. "Gene expression in schizophrenia." Thesis, Imperial College London, 1997. http://hdl.handle.net/10044/1/7770.

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Fischer, Heléne. "Gene expression in carcinogenesis /." Stockholm, 2001. http://diss.kib.ki.se/2001/91-628-4961-1/.

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Hornan, Daniel Mark. "Human macular gene expression." Thesis, University College London (University of London), 2005. http://discovery.ucl.ac.uk/1444745/.

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The human macula is essential for precise vision. It contains many more cone photoreceptors than the peripheral retina, especially in the fovea. Cones are known to express specific opsins and other proteins that form part of the phototransduction cascade. However, relatively little is known about retinal macular gene expression compared with the rod-rich peripheral retina. I obtained human donor eyes and used foveo-macular and macular punches and sections of peripheral retina to study differential gene expression. I combined multiple microarray experiments with quantitative PCR, statistical, a
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Books on the topic "Gene expression"

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Karin, Michael, ed. Gene Expression. Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3.

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Shimkets, Richard A. Gene Expression Profiling. Humana Press, 2004. http://dx.doi.org/10.1385/1592597513.

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Balbas, Paulina, and Argelia Lorence. Recombinant Gene Expression. Humana Press, 2004. http://dx.doi.org/10.1385/1592597742.

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Jun, Zhang, and Rokosh Gregg. Cardiac Gene Expression. Humana Press, 2007. http://dx.doi.org/10.1385/1597450308.

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Shav-Tal, Yaron, ed. Imaging Gene Expression. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-526-2.

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Zhang, Jun, and Gregg Rokosh, eds. Cardiac Gene Expression. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-030-0.

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Shav-Tal, Yaron, ed. Imaging Gene Expression. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9674-2.

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Kwak-Kim, Joanne, ed. Endometrial Gene Expression. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-28584-5.

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O'Driscoll, Lorraine, ed. Gene Expression Profiling. Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-289-2.

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Lorence, Argelia, ed. Recombinant Gene Expression. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-433-9.

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Book chapters on the topic "Gene expression"

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Roberts, Stefan G. E., and Michael R. Green. "The Basic Transcriptional Machinery." In Gene Expression. Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_1.

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Blau, Helen M. "Plasticity of the Differentiated State." In Gene Expression. Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_2.

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Beato, Miguel. "Gene Regulation by Steroid Hormones." In Gene Expression. Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_3.

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Montminy, Marc R. "Control of Transcription and Cellular Proliferation by cAMP." In Gene Expression. Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_4.

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Schwarz, John J., James F. Martin, and Eric N. Olson. "Transcription Factors Controlling Muscle-Specific Gene Expression." In Gene Expression. Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_5.

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Emerson, Beverly M. "Gene Expression in Hematopoietic Cells: The β-Globin Gene." In Gene Expression. Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_6.

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Ciliberto, Gennaro, Vittorio Colantuoni, Raffaele De Francesco, et al. "Transcriptional Control of Gene Expression in Hepatic Cells." In Gene Expression. Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_7.

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Theill, Lars Eyde. "Transcriptional Control of Pituitary Gene Expression." In Gene Expression. Birkhäuser Boston, 1993. http://dx.doi.org/10.1007/978-1-4684-6811-3_8.

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Pournourmohammadi, Shirin, and Mohammad Abdollahi. "Gene Expression." In Anticholinesterase Pesticides. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470640500.ch14.

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Tree, Julia, Angela Essex-Lopresti, Stefan Wild, et al. "Gene Expression." In Nijkamp and Parnham's Principles of Immunopharmacology. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10811-3_17.

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Conference papers on the topic "Gene expression"

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Boldura, Oana Mari, Jelena Savici, Calin Mircu, Cornel Balta, and Simona Marc. "VALIDATION OF REFERENCE GENES FOR RT-QPCR IN PORCINE OOCYTES CULTURED IN ANTIOXIDANT-ENRICHED MEDIA." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/4.2/s19.52.

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Reference genes are essential for normalising data in RT-qPCR experiments and are critical in reducing technical variability. This study aimed to identify and validate stable reference genes for accurate gene expression analysis in porcine oocytes matured in culture media supplemented with antioxidants. Five commonly used reference genes were assessed: PPIA, RPL4, GAPDH, YWHAZ, and TBP, [2, 3] in oocytes cultured under oxidative stress conditions induced by Vitamin C. The experiment involved four experimental groups, analyzed in triplicate using SYBR Green RT-qPCR. PPIA exhibited the lowest SE
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MURALI, T. M., and SIMON KASIF. "EXTRACTING CONSERVED GENE EXPRESSION MOTIFS FROM GENE EXPRESSION DATA." In Proceedings of the Pacific Symposium. WORLD SCIENTIFIC, 2002. http://dx.doi.org/10.1142/9789812776303_0008.

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Coorey, H., R. Jayatillaka, N. Jayathilaka, and N. Ambanpola. "Determining Differentially Expressed Genes in Dengue Patients during Disease Progression." In SLIIT International Conference on Advancements in Sciences and Humanities 2023. Faculty of Humanities and Sciences, SLIIT, 2023. http://dx.doi.org/10.54389/ajrm6708.

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Gene expression studies on gene transcription to synthesize functional gene products have been used extensively to understand the biological differences between different disease conditions. Thus, this study determines differentially expressed genes in dengue infection during disease progression following the three phases: Febrile, Defervescence and Convalescent. Integrative data analysis of two publicly available longitudinal datasets in the Gene Expression Omnibus (GEO) database has been employed to accomplish the prime objective of exploring temporal gene expression patterns. The Friedman t
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Lai, Yinglei. "The analysis of ordered changes of gene expression and gene-gene co-expression patterns." In 2011 IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences (ICCABS). IEEE, 2011. http://dx.doi.org/10.1109/iccabs.2011.5729863.

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Zinovieva, S. V., Z. V. Udalova, and F. K. Khasanov. "EXPRESSION OF IMMUNE SYSTEM GENES IN TOMATO PLANTS INFECTED BY MELOIDOGYNE INCOGNITA." In THEORY AND PRACTICE OF PARASITIC DISEASE CONTROL. VNIIP – FSC VIEV, 2024. http://dx.doi.org/10.31016/978-5-6050437-8-2.2024.25.135-139.

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Data were presented from a study on expression of resistance gene Mi-1.2 of protective genes of the PR gene family (PR-2, PR-3) and genes of serine and cysteine proteinase (PIser PIcys) inhibitors in tissues of tomato plants of resistant and susceptible hybrids infected by gall nematodes and an assessment of their role in parasite resistance was given. Differences were detected in the expression of the studied genes at all stages of nematode development in the roots of resistant and susceptible plants. The studies showed that the infection of resistant plants caused an increase in the study ge
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Polstein, Lauren R., and Charles A. Gersbach. "Photoregulated Gene Expression in Human Cells With Light-Inducible Engineered Transcription Factors." In ASME 2012 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/sbc2012-80573.

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Systems for controlling gene expression in mammalian cells have a wide range of applications in medicine, biotechnology and basic science. An ideal gene regulatory system would allow for precise and specific control over the magnitude and kinetics of gene expression in space and time, while also exerting minimal influence on other genes and cellular components. Several gene regulatory systems have been developed in which orthogonal transcription machinery from prokaryotes or insects has been imported into mammalian cells and used to control the expression of a specific gene. Despite the transf
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Li, Ling. "CRISPR/Cas9-based editing of OsNF-YC4/GmNF-YC4 promoter yields high-protein crops." In 2022 AOCS Annual Meeting & Expo. American Oil Chemists' Society (AOCS), 2022. http://dx.doi.org/10.21748/qsgt8379.

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Genome editing is a new breeding technology widely touted for transgene-free crop improvement; however, to date, the majority of derived traits are created through gene knockout. We describe a novel approach using gene editing to upregulate gene expression by removing negative repressor binding motifs. Our previous work demonstrated that ectopic expression of NF-YC4 increases protein content of leaves and seeds at the expense of carbohydrates. We detected several conserved motifs predicted to be bound by repressors in the promoter of rice and soybean NF-YC4 genes. Using CRISPR/Cas9 to edit the
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Ben-Dor, Amir, and Zohar Yakhini. "Clustering gene expression patterns." In the third annual international conference. ACM Press, 1999. http://dx.doi.org/10.1145/299432.299448.

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Mishra, Debahuti, Kailash Shaw, Sashikala Mishra, Amiya Kumar Rath, and Milu Acharya. "Gene expression network discovery." In the 2011 International Conference. ACM Press, 2011. http://dx.doi.org/10.1145/1947940.1948005.

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Zhang, Jianwei, Zhijian Wu, Zongyue Wang, Jinglei Guo, and Zhangcan Huang. "Unconstrained gene expression programming." In 2009 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2009. http://dx.doi.org/10.1109/cec.2009.4983192.

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Reports on the topic "Gene expression"

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Jesus Ariel Gonzalez Gloria, Jesus Ariel Gonzalez Gloria. Copper gene-switch for controllable gene expression in plants. Experiment, 2025. https://doi.org/10.18258/75537.

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Geballe, Adam. Translational Regulation of HER2 Gene Expression. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada339298.

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Hrushesy, William, Phillip Bulkhaults, and Shaojin You. Sage Gene Expression Profiles Characterizing Cure. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada462344.

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Gerald, William L. Gene Expression Analysis of Breast Cancer Progression. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada437751.

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Wang, Xuefel, Huining Kang, Chris Fields, et al. Application of multidisciplinary analysis to gene expression. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/918393.

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Peterson, Blake R. Anticar Inhibitors of AR-Mediated Gene Expression. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada446982.

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Synold, Timothy W. In Vivo Imaging of MDR1A Gene Expression. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada433034.

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Shields, Janiel M. Aberrant Gene Expression in NF1-Mediated Oncogenesis. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada411494.

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Gudas, Lorraine J. Aberrant Homeobox Gene Expression in Mammary Tumorigenesis. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada413156.

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Woloschak, G. E., T. Paunesku, C. M. Chang-Liu, L. Loberg, J. Gauger, and D. McCormick. Changes in gene expression following EMF exposure. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/563249.

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