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Table 2. Gene ontology on up-regulated genes in the model group. GO classification Specific GO term Number of genes p Value Response to stimulus 19 8.1E-3 Response to stress 12 8.7E-3 Biological process Cellular process 47 2.3E-2 Cellular developmental process 13 3.4E-2 Negative regulation of biological process 11 4.5E-2 Molecular function Protein binding 35 3.6E-3 Binding 55 5.2E-3 Ribonucleotide binding 14 2.2E-2 Purine ribonucleotide binding 14 2.2E-2 ATP binding 12 2.5E-2 Adenyl ribonucleotide binding 12 2.7E-2 Purine nucleotide binding 14 2.9E-2 Adenyl nucleotide binding 12 3.7E-2 Purine nucleoside binding 12 3.9E-2 Nucleoside binding 12 4.1E-2 Cellular constituent Cell projection 7 2.6E-2 P values reflect statistical significance of each GO term being over-represented. Table 3. Gene ontology on down-regulated gene in the model group. GO classification Specific GO term Number of genes p Value Cellular process 69 2.97E-07 Cellular macromolecule metabolic process 42 3.93E-05 Biological process Cellular component organization 24 7.06E-05 Macromolecule metabolic process 44 1.24E-04 Cellular metabolic process 48 1.38E-04 Molecular function Cellular constituent Nucleoside-triphosphatase activity 12 1.57E-04 Hydrolase activity 24 1.96E-04 Pyrophosphatase activity 12 2.25E-04 Hydrolase activity, acting on acid anhydrides, in Phosphorus-containing anhydrides 12 2.38E-04 Intracellular part 83 2.75E-12 Intracellular 83 6.96E-11 Intracellular organelle 73 3.29E-09 Organelle 73 3.38E-09 Nucleus 48 1.73E-07 P values reflect statistical significance of each GO term being over-represented. process containing 69 genes, which included more specific GO terms such as metabolic process, cellular metabolic process and macromolecule metabolic process. The third group was related to various molecular functions dealing with binding (64 genes). Cheng et al. 2507 Also, we identified 9 commonly modulated genes in either APS HD group or APS LD group (Table 4). The genes were regulated in the same direction (towards the normal scale). Those genes must be important genes for elucidating the network how APS affects IELs. To further
2508 J. Med. Plants Res. Table 4. Shared altered genes between control and model, APS HD and model, APS LD and model. Gene symbol Accession # Control vs. Model (Ratio) APS HD vs. Model (Ratio) APS LD vs. Model (Ratio) Related function or disease Rnf139 NM_175226 ↑(1.57) ↑(1.57) ↑(1.48) Kidney cancer 2310079N02Rik AK086714 ↑(1.73) ↑(1.54) ↑(1.54) Anapc1 AK090134 ↑(1.52) ↑(1.47) ↑(1.43) Gastric cancer C030015A19Rik AK028820 ↑(1.44) ↑(1.43) ↑(1.45) Fbxo3 NM_212433 ↑(1.46) ↑(1.40) ↑(1.55) Oral squamous cell carcinoma Cpd AK134736 ↑(1.25) ↑(1.33) ↑(1.24) Stimulate NO production Derl2 NM_033562 ↑(1.26) ↑(1.17) ↑(1.17) Hepatocellular carcinoma Ddx17 NM_199079 ↓(0.67) ↓(0.73) ↓(0.72) Dysregulated in cancers Arl6ip2 NM_019717 ↓(0.51) ↓(0.53) ↓(0.54) Figure 2. Significant molecular networks of 9 common modulated genes generated by the Ingenuity software. Genes or gene products are represented as nodes, and the biological relationship between two nodes is represented as a line. Note that the gray symbols represent gene entries that occur in our data, while the transparent entries are molecules from the Ingenuity knowledge database, inserted to connect all relevant molecules in a single network. Solid lines between molecules indicate direct physical relationship between molecules; dotted lines indicate indirect functional relationships. understand the correlations among the candidate genes, bioinformatics analyses were performed using the IPA software, and these analyses led to the identification of biological association networks. As shown in Figure 2,
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Journal of Medicinal Plants Researc
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Editors Prof. Akah Peter Achunike E
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Electronic submission of manuscript
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Fees and Charges: Authors are requi
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Table of Contents: Volume 6 Number
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Figure 1. Chuanxiong Rhizoma (http:
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Table 1. Identification of main pea
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Table 3. Pharmacokinetic parameters
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active component study, many invest
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and 1185 kg ha -1 in the first site
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Table 1. Recommendation for use fer
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Sadanandan AK, Hamza S (1996c). Stu
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and it has been traced to South Ame
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Table 3. Results of phytochemical a
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(a) (b) (c) Figure 1. (a) Normal ce
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emedies in the south of Brazil. J.
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known fatty acids and terpenoids we
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Table 1. Renal function tests of ra
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Al-Radahe et al. 2271 Figure 3.nnnn
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namely disruption of the vascular e
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Zayachkivska OS, Konturek SJ, Drozd
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β-carotene were purchased from Sig
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Figure 1. Effect of ethanol concent
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Table 3. Climatic and soil factors
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content of polysaccharides. Phospha
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Serge et al. 2285 Table 1. Relative
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Percentage inhibition % of inhibiti
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Table 1. Result of phytochemical sc
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Table 3. Result of thin layer chrom
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Table 2. MIC of a compound 1 from c
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Zirihi et al. 2301 Figure 2. Termin
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Figure 5. T. catappa Linn. (Combret
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Figure 8. A. fumigatus: Aspect of c
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Figure 12. Sensitivity of A. fumiga
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Noormi et al. 2311 Table 1. Callus
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Table 2. Contd. NoC=No callus. 4.0
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Figure 2. Contd. at 2.0 mg/L yellow
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Table 1. Biochemical parameters in
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Figure 3. Bcl-xL reactions in inter
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ACKNOWLEDGMENTS The authors would l
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Figure 1. The first page of the boo
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Figure 3. The most widely included
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Figure 4. Lithographic print “St.
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Table 1. List of plants included in
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Table 1. Contd. Nedelcheva 2333 Cin
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Table 1. Contd. Nedelcheva 2335 Rhe
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14 7 1 15 1 35 17 16 Imported plant
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Academy of Science Publishing House
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et al., 1996; van Wyk and Gericke,
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DPPH inhibition (%) DPPH % inhibiti
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% Mortality Concentration (µg/ml)
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information on plants used for the
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Table 1. Levels of independent vari
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Arbutin (mg/g) Co-solvent Figure 1.
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Arbutin (mg/g) Extraction pressure
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Table 3. Arbuitn content of Asian p
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Arbutin (mg/g) Extraction pressure
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Arbutin (mg/g) Extraction temperatu
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Table 1. Chemical composition of es
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Darjazi 2369 Table 2. Statistical a
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Table 3. Correlation matrix (number
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Table 1. Precision test. extraction
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Figure 2. Effect of different alcoh
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Table 6. Results of ANOVA. Nie et a
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Table 2. Plant data and MIC values
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exhibiting the polar extracts of P.
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Table 3. Contd. AcOEt ++ ++ ++ - Me
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Figure 1. Map of Ladakh region of I
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Warghat et al. 2391 Table 3. Summar
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Table 5. Inter-Population genetic i
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Excoffier L, Smouse PE, Quattro JM
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ice residue is an ideal raw materia
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DPPH• scavenging ratio(%) OD valu
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scavenging effect on free radical a
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our new CL system. Fenton reaction
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1 2 Time (s) Figure 2. Kinetic curv
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Wong et al., 2006). It can be seen
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Pan YM, Liang Y, Wang HS, Liang M (
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2422 J. Med. Plants Res. close cano
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2424 J. Med. Plants Res. Table 1. M
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2432 J. Med. Plants Res. Table 2. D
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2434 J. Med. Plants Res. Table 6. T
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2436 J. Med. Plants Res. budget dur
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2440 J. Med. Plants Res. Table 1. R
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2442 J. Med. Plants Res. Stability
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2444 J. Med. Plants Res. production
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2446 J. Med. Plants Res. Figure 2.
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2450 J. Med. Plants Res. Table 2. A
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2452 J. Med. Plants Res. Ghasemi Pi
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