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Análisis funcional
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Climatic variables influence annual P. montezumae growth
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5041por Zalewski, Daniel P., Ruszel, Karol P., Stępniewski, Andrzej, Gałkowski, Dariusz, Bogucki, Jacek, Komsta, Łukasz, Kołodziej, Przemysław, Chmiel, Paulina, Zubilewicz, Tomasz, Feldo, Marcin, Kocki, Janusz, Bogucka-Kocka, Anna“…Regulatory interactions between potential biomarker miRNAs and genes were projected. Functional analysis of microRNA-regulated genes revealed terms closely related to cardiovascular diseases and risk factors. …”
Publicado 2020
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5042por Xu, Jun, Liu, Wei, Yang, Dehong, Chen, Shuqing, Chen, Kai, Liu, Zulian, Yang, Xu, Meng, Jing, Zhu, Guanheng, Dong, Shuanglin, Zhang, Yong, Zhan, Shuai, Wang, Guirong, Huang, Yongping“…Lack of Bmfru expression significantly reduced the perception of the minor pheromone component bombykal due to the down regulation of BmOR3 expression; further, functional analysis revealed that loss of the product of BmOR3 played a key role in terminating male mating behavior. …”
Publicado 2020
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5043por Zou, Shicheng, Shahid, Muhammad Qasim, Zhao, Chongbin, Wang, Man, Bai, Yunlu, He, Yehua, Lin, Shunquan, Yang, Xianghui“…We inferred that the differential accumulation of carotenoids in flesh and peel of 'Baiyu' is caused by the up- or down-regulation of the carotenogenic and PAP related genes. The functional analysis of these important genes will provide valuable information about underlying molecular mechanism of carotenoids accumulation in loquat.…”
Publicado 2020
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5044“…Moreover, ROCK1 knockdown-induced A549 cell apoptosis and inhibition of proliferation were suppressed by LATS2 knockdown or JNK inactivation, suggesting that ROCK1 deficiency triggers NSCLC apoptosis in a LATS2-JNK pathway-dependent manner. Functional analysis further demonstrated that ROCK1 knockdown dysregulated mitochondrial dynamics and inhibited mitochondrial biogenesis. …”
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5045“…Between-group comparisons of gene and protein expression unveiled distinctive patterns, whereas downstream functional analysis significantly associated differentially expressed genes with crucial cancer-related biological processes/pathways and revealed concrete driver-gene signatures. …”
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5046por Kim, Ji Eun, Kim, Hyo-Eun, Park, Ji In, Cho, Hyunjeong, Kwak, Min-Jung, Kim, Byung-Yong, Yang, Seung Hee, Lee, Jung Pyo, Kim, Dong Ki, Joo, Kwon Wook, Kim, Yon Su, Kim, Bong-Soo, Lee, Hajeong“…Relative abundance of Oscillibacter was significantly associated with both serum uremic metabolite levels and kidney function. Predicted functional analysis suggested that kidney-function-associated changes in the contribution of Oscillibacter to pyruvate metabolism in CKD may greatly affect the gut environment according to kidney function, resulting in dysbiosis concomitant with uremic toxin production. …”
Publicado 2020
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5047por Mnguni, Fanele Cabangile, Padayachee, Tiara, Chen, Wanping, Gront, Dominik, Yu, Jae-Hyuk, Nelson, David R., Syed, Khajamohiddin“…The average number of secondary metabolite biosynthetic gene clusters (BGCs) and the number of P450s located in BGCs were higher in Streptomyces species than in Bacillus, mycobacterial, and cyanobacterial species, corroborating the superior capacity of Streptomyces species for generating diverse secondary metabolites. Functional analysis via data mining confirmed that many Streptomyces P450s are involved in the biosynthesis of secondary metabolites. …”
Publicado 2020
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5048por Yuan, Jingyan, Yuan, Bo, Zeng, Lizhong, Liu, Boxuan, Chen, Yang, Meng, Xia, Sun, Ruiying, Lv, Xin, Wang, Wei, Yang, Shuanying“…Firstly, the immune scores and stromal scores of patients with LUAD from The Cancer Genome Atlas were calculated using the Estimation of STromal and Immune cells in MAlignant Tumors using Expression data algorithm, and a total of 281 prognostic TME-related genes were identified. Subsequently, functional analysis and protein-protein interaction network analysis revealed that these genes were mainly related to immune response, inflammatory response and chemotaxis. …”
Publicado 2020
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5049por Wang, Huadun, Wan, Yongfang, Buchner, Peter, King, Robert, Ma, Hongxiang, Hawkesford, Malcolm J“…The systematic identification of gene composition, chromosomal locations, evolutionary relationships, and expression profiles contributes to a better understanding of the roles of the wheat NPF genes and lays the foundation for further functional analysis in wheat.…”
Publicado 2020
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5050por Liu, Zhenhua, Suarez Duran, Hernando G., Harnvanichvech, Yosapol, Stephenson, Michael J., Schranz, M. Eric, Nelson, David, Medema, Marnix H., Osbourn, Anne“…All‐vs‐all comparisons of OSC neighbourhoods and phylogenomic analysis were used to investigate the sequence similarity and evolutionary relationships of the numerous candidate triterpene biosynthetic gene clusters (BGCs) observed. Functional analysis of three representative BGCs was carried out and their triterpene pathway products were elucidated. …”
Publicado 2019
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5051“…Results of sequencing and functional analysis showed that 63 DEFs (33 in leaves and 30 in roots) were annotated to a total of 54 genes involved in diverse groups of biological pathways, including metabolism, photosynthesis, signal transduction, transcription, transport, cellular processes, genetic information, and organismal system. …”
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5052por Wang, Lining, Huang, Qinghua, Zhang, Liulian, Wang, Qingfu, Liang, Lei, Liao, Baosheng“…This comprehensive and systematic study of MYB family members provides a reference and solid foundation for further functional analysis of MYB genes in Ganoderma species.…”
Publicado 2020
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5053“…With the great significance of biomolecular flexibility in biomolecular dynamics and functional analysis, various experimental and theoretical models are developed. …”
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5054por Zhang, Shiying, Dogan, Belgin, Guo, Cindy, Herlekar, Deepali, Stewart, Katrina, Scherl, Ellen J., Simpson, Kenneth W.“…However, under colonic conditions (pH = 6.5; 65 to 123 mM total SCFA), SCFA significantly (p < 0.05) inhibit growth in a pH dependent fashion (up to 60%), and down-regulate virulence gene expression (e.g., fliC, fimH, htrA, chuA, pks). Functional analysis reveals that colonic SCFA significantly (p < 0.05) inhibit E. coli motility (up to 95%), infectivity (up to 60%), and type 1 fimbria-mediated agglutination (up to 50%). …”
Publicado 2020
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5055“…In conclusion, our comparative analysis may provide a valuable data foundation for the further functional analysis of BoPGs during the development of B. oleracea.…”
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5056“…By integrating this observation with proteomic data from infected cells, we observe a reduced translation rate of host proteins associated with highly expressed genes and that they share the codon usage bias of the virus. The functional analysis of these genes suggests that this mechanism of epistasis can contribute to understanding how this virus evades the immune response and the etiology of some deleterious collateral effect as a result of the viral replication. …”
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5057por Staretz‐Chacham, Orna, Schlotawa, Lars, Wormser, Ohad, Golan‐Tripto, Inbal, Birk, Ohad S., Ferreira, Carlos R., Dierks, Thomas, Radhakrishnan, Karthikeyan“…Both patients were homozygous for the same novel SUMF1 mutation (c.1043C>T, p.A348V). Functional analysis revealed that the SUMF1‐encoded variant of formylglycine‐generating enzyme is highly instable and lacks catalytic function. …”
Publicado 2020
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5058por Shenoy, Anjana, Belugali Nataraj, Nishanth, Perry, Gili, Loayza Puch, Fabricio, Nagel, Remco, Marin, Irina, Balint, Nora, Bossel, Noa, Pavlovsky, Anya, Barshack, Iris, Kaufman, Bella, Agami, Reuven, Yarden, Yosef, Dadiani, Maya, Geiger, Tamar“…Weighted gene correlation network analysis of post‐treatment samples revealed that these proteins are associated with tumor relapse and affect patient survival. Functional analysis showed that knockdown of PYCR1 reduced invasion and migration capabilities of breast cancer cell lines. …”
Publicado 2020
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5059“…A total of 1,572 differentially expressed genes (DEGs) were identified, involving 961 upregulated DEGs and 611 downregulated DEGs. Functional analysis indicated that the DEGs were mainly involved in plant hormone signal transduction, plant–pathogen interactions, secondary metabolism, and the MAPK signaling pathway. …”
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5060“…EPDR1 co‐expressed genes were identified using LinkedOmics. Functional analysis of the co‐expressed genes was performed using gene set enrichment analysis, Gene Ontology, and KEGG. …”
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