1.Study of traditional Chinese medicine pulse signals in patients with coronary heart disease based on recurrence quantification analysis.
Rui GUO ; Yiqin WANG ; Jianjun YAN ; Hanxia YAN ; Yuci YANG
Journal of Integrative Medicine 2011;9(11):1226-33
By using recurrence quantification analysis (RQA) to analyze traditional Chinese medicine pulse signals of patients with coronary heart disease (CHD), this study aims to find nonlinear dynamic parameters of pulses to distinguish patients with CHD from normal subjects.
2.Relationship of optimal pulse-taking pressure among cun,guan,chi pulse of 264 healthy undergraduates
Haixia YAN ; Yiqin WANG ; Fufeng LI ; Aimin GONG ; Fengying YUN ; Yujian HONG ; Jin XU ; Yawei CHENG ; Lei HE ; Zhaoxia XU ; Yan ZHANG ; Yanhui LI ; Yuci YANG
China Journal of Traditional Chinese Medicine and Pharmacy 2006;0(09):-
Objective:To explore the relationship of optimal pulse-taking pressure among cun,guan,chi pulse of of healthy persons.Methods:264 Healthy undergraduate were included and pulse signals were collected from cun,guan,chi in cunkou area.The relationship of optimal pulse-taking pressure among three-region pulse,ratios and body mass index(BMI)were researched.At the same time,to calculate relationship of optimal pulse-taking pressure among cun,guan,chi pulse.Results:The optimal pulse-taking pressure of cun,guan,chi pulse was positively correlated with BMI.The optimal pulse-taking pressure of guan and cun pulse was significantly smaller than that of chi pulse.The optimal pulse-taking pressure of cun pulse is similar to that of guan pulse,which was 90 percents of the chi pulse.Conclusion:There was significant difference in optimal pulse-taking pressure between cun,guan,chi pulse.The result was favourable to the optimizing the program of pulse device,consummating of three-probe pulse sensor and studying pulse thoroughly.
3.Identification, expression and DNA variation analysis of high affinity nitrate transporter NRT2/3 gene family in Sorghum bicolor.
Shanshan ZHAO ; Zhiqiang GUO ; Lixun ZHU ; Jiali FAN ; Bohui YANG ; Wenting CHAI ; Huiqiong SUN ; Fan FENG ; Yuexiu LIANG ; Chunlei ZOU ; Xiaodong JIANG ; Weijun ZHAO ; Jinhui LÜ ; Chunlai ZHANG
Chinese Journal of Biotechnology 2023;39(7):2743-2761
Nitrate is the main form of inorganic nitrogen that crop absorbs, and nitrate transporter 2 (NRT2) is a high affinity transporter using nitrate as a specific substrate. When the available nitrate is limited, the high affinity transport systems are activated and play an important role in the process of nitrate absorption and transport. Most NRT2 cannot transport nitrates alone and require the assistance of a helper protein belonging to nitrate assimilation related family (NAR2) to complete the absorption or transport of nitrates. Crop nitrogen utilization efficiency is affected by environmental conditions, and there are differences between varieties, so it is of great significance to develop varieties with high nitrogen utilization efficiency. Sorghum bicolor has high stress tolerance and is more efficient in soil nitrogen uptake and utilization. The S. bicolor genome database was scanned to systematically analyze the gene structure, chromosomal localization, physicochemical properties, secondary structure and transmembrane domain, signal peptide and subcellular localization, promoter region cis-acting elements, phylogenetic evolution, single nucleotide polymorphism (SNP) recognition and annotation, and selection pressure of the gene family members. Through bioinformatics analysis, 5 NRT2 gene members (designated as SbNRT2-1a, SbNRT2-1b, SbNRT2-2, SbNRT2-3, and SbNRT2-4) and 2 NAR2 gene members (designated as SbNRT3-1 and SbNRT3-2) were identified, the number of which was less than that of foxtail millet. SbNRT2/3 were distributed on 3 chromosomes, and could be divided into four subfamilies. The genetic structure of the same subfamilies was highly similar. The average value of SbNRT2/3 hydrophilicity was positive, indicating that they were all hydrophobic proteins, whereas α-helix and random coil accounted for more than 70% of the total secondary structure. Subcellular localization occurred on plasma membrane, where SbNRT2 proteins did not contain signal peptides, but SbNRT3 proteins contained signal peptides. Further analysis revealed that the number of transmembrane domains of the SbNRT2s family members was greater than 10, while that of the SbNRT3s were 2. There was a close collinearity between NRT2/3s of S. bicolor and Zea mays. Protein domains analysis showed the presence of MFS_1 and NAR2 protein domains, which supported executing high affinity nitrate transport. Phylogenetic tree analysis showed that SbNRT2/3 were more closely related to those of Z. mays and Setaria italic. Analysis of gene promoter cis-acting elements indicated that the promoter region of SbNRT2/3 had several plant hormones and stress response elements, which might respond to growth and environmental cues. Gene expression heat map showed that SbNRT2-3 and SbNRT3-1 were induced by nitrate in the root and stem, respectively, and SbNRT2-4 and SbNRT2-3 were induced by low nitrogen in the root and stem. Non-synonymous SNP variants were found in SbNRT2-4 and SbNRT2-1a. Selection pressure analysis showed that the SbNRT2/3 were subject to purification and selection during evolution. The expression of SbNRT2/3 gene and the effect of aphid infection were consistent with the expression analysis results of genes in different tissues, and SbNRT2-1b and SbNRT3-1 were significantly expressed in the roots of aphid lines 5-27sug, and the expression levels of SbNRT2-3, SbNRT2-4 and SbNRT3-2 were significantly reduced in sorghum aphid infested leaves. Overall, genome-wide identification, expression and DNA variation analysis of NRT2/3 gene family of Sorghum bicolor provided a basis for elucidating the high efficiency of sorghum in nitrogen utilization.
Nitrate Transporters
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Nitrates/metabolism*
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Sorghum/metabolism*
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Anion Transport Proteins/metabolism*
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Phylogeny
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Protein Sorting Signals/genetics*
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Nitrogen/metabolism*
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DNA
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Gene Expression Regulation, Plant
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Plant Proteins/metabolism*