134 research outputs found
Growing apples for local markets in cold climates
No full textBulletin no. 820 Moscow, Idaho :University of Idaho, Cooperative Extension System,2000. Brian F. Finnigan, W. Michael Colt, and Esmaeil Fallahi. 20 p. :ill. ;22 cm. Cover title
RNA-Seq SSRs and small RNA-Seq SSRs: new approaches in cancer biomarker discovery
No full textAbstract not availableArghavan Alisoltani, Hossein Fallahi, Behrouz Shiran, Anousheh Alisoltani, Esmaeil Ebrahimi
Prediction of potential cancer-risk regions based on transcriptome data: towards a comprehensive view
No full textA novel integrative pipeline is presented for discovery of potential cancer-susceptibility regions (PCSRs) by calculating the number of altered genes at each chromosomal region, using expression microarray datasets of different human cancers (HCs). Our novel approach comprises primarily predicting PCSRs followed by identification of key genes in these regions to obtain potential regions harboring new cancer-associated variants. In addition to finding new cancer causal variants, another advantage in prediction of such risk regions is simultaneous study of different types of genomic variants in line with focusing on specific chromosomal regions. Using this pipeline we extracted numbers of regions with highly altered expression levels in cancer condition. Regulatory networks were also constructed for different types of cancers following the identification of altered mRNA and microRNAs. Interestingly, results showed that GAPDH, LIFR, ZEB2, mir-21, mir-30a, mir-141 and mir-200c, all located at PCSRs, are common altered factors in constructed networks. We found a number of clusters of altered mRNAs and miRNAs on predicted PCSRs (e.g.12p13.31) and their common regulators including KLF4 and SOX10. Large scale prediction of risk regions based on transcriptome data can open a window in comprehensive study of cancer risk factors and the other human diseases.Arghavan Alisoltani, Hossein Fallahi, Mahdi Ebrahimi, Mansour Ebrahimi, Esmaeil Ebrahimi
Gene regulatory network in almond (Prunus dulcis Mill.) in response to frost stress
No full textRegulatory networks govern the plant molecular responses against environmental stress. The underpinning regulatory networks of almond (Prunus dulcis Mill.) in response to frost are largely unknown. Here, based on cold responsive genes in almond pistils, we constructed a gene regulatory network in response to cold stress. Some of the central genes in the regulatory network were further validated by RT-qPCR in frost-tolerant and frost-sensitive genotypes. Central genes in the regulatory network (SIZ1, ICE1, CBF/DREB1, WRKY21, HOS1, ANK) showed significant differential gene expression patterns between frost-tolerant and frost-sensitive genotypes. Among the key transcription factors, members of DOFF family were the central regulators of genes in the constructed network. In line with this observation, the Pddof4 transcript had significant over-expression in the tolerant genotypes compared to the sensitive genotypes during cold stress. These findings may highlight the importance of Pddof4 in conferring frost tolerance to almond. PdMIR7122-3p was predicted as a negative regulator of PdHOS1. PdMIR7122-3p/ PdHOS1 was found to be the only post-transcriptional regulator of genes in the network. Taken together, our network model will be useful to unravel the mechanisms involved in almond tolerance to cold stress and to highlight the role of different regulatory factors and their interactions in response to this commonly occurring environmental condition.Arghavan Alisoltani, Behrouz Shiran, Hossein Fallahi, Esmaeil Ebrahimi
Applications of Endothalic Acid, Pelargonic Acid, and Hydrogen Cyanamide for Blossom Thinning in Apple and Peach
No full textEffects of Various Irrigation Regimes on Tree Growth, Water Use, and Mineral Nutrients of `Fuji' and `Gala' Apples
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Influence of Rootstock and Irrigation Methods on Water Use, Mineral Nutrition, Growth, Fruit Yield, and Quality in ‘Gala’ Apple
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Long-Term Influence of Irrigation Systems on Postharvest Fruit Quality Attributes in Mature ‘Autumn Rose Fuji’ Apple Trees
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