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ABSTRACT The rhizosphere zone has been defined as the volume of soil directly influenced by the presence of living plant roots or soil compartment influenced by the root. During the growing season of 2014, the rhizobacteria of 23 sugar beet plants sampled from 12 sites in the west and north west of Iran were inventoried. Using a cultivation-dependent approach, a total of 217 bacteria were isolated from the rhizosphere. The bacterial isolates were tentatively grouped and documented based on polyacrylamide gel electrophoresis of whole-cell proteins and were found to represent 43 different protein electrotypes. The majority of the fingerprint types were found only on a single occasion. Fifty-nine percent of the strains belonged to the five bacterial species and identified as Stenotrophomonas maltophilia, Pseudomonas fluorescens, Pseudomonas aeruginosa, Stenotrophomonas rhizophila and Serratia marcescens. Minor occurring fingerprint types were identified as Flavobacterium spp, Erwinia spp, Acetobacter spp, Agrobacterium spp, Enterobacter spp, Aeromonas spp and Bacillus spp.
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Objective To investigate the changes of serum protein fingerprint in patients with lung cancer with deep venous thrombosis.Methods Eighteen case patients with lung cancer were selected,including 8 case of lung cancers with thrombosis and 10 cases of lung cancers with no thrombosis.Surface enhanced laser desorption ionization protein-time of flight mass spectrometry (SELDI-TOF-MS) was used to analyze serum protein content of two groups in the same mass to charge ratios(M/Z),then drew the protein peaks that content difference was statistically significant.Results The M/Z of lung cancer with thrombus group and control group were 5911,1216,4187,1019,4293,the protein peaks had significant differences between the two group (43.81±7.74,6.37±5.02,2.97±0.35,35.96± 12.10,9.65±4.37;15.35± 12.69,2.06±0.37,4.67± 1.35,15.94±6.47,14.65±8.80;t =5.334,4.800,2.981,4.639,4.596;P＜ 0.05).Compared with the control group,the decrease of protein peak M/Z were 5911,1019,1216,and the increase of protein peak M/Z were 4293,4187 in the deep venous thrombosis group.Conclusion In the serum of patients with tumors SELDI profiles M/Z are 5911,4293,4187,1019,1216 of SELDI protein fingerprinting can be considered in patients with thrombosis of tumor specific markers.
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Objective To compare serum protein fingerprint among Uygur patients with thyroid cancer and benign thyroid nodules, and Han patients with thyroid cancer, and to screen ethnic-specific protein markers of thyroid cancer. Methods Using the technology of two-dimensional polyacrylamide gel electrophoresis (2D-PAGE), the protein expression profiles of Uygur and Han patients with thyroid cancer and Uygur patients with thyroid nodules were established and compared by image analysis software between two groups. Liquid chromatography-mass spectrometry/mass spectrometry coupling techniques ( LC-MS/MS) were used to identify differential protein. The protein′s name, cellular localization and functional classification were searched in Swissport database. Results There are 11 differentially expressed proteins by comparison of sera in Uygur patients with benign thyroid nodules and thyroid cancer, in which complement C3 and C4b levels were down-regulated in the serums of Uygur patients with benign thyroid nodules, and 9 proteins such as heme-binding proteins etc were up-regulated. There are 7 differentially expressed proteins by comparison of serums in Uygur and Han patients with thyroid cancer, in which transferrin level was up-regulated in the serum of Uygur patients with thyroid cancer, and 6 proteins such as cytokeratin-1 etc were down-regulated in serum of Uygur patients with thyroid cancer. Conclusion Combined screening of multiple labelled proteins including heme-binding protein,α2-macroglobulin, and transferrin protein etc may provide the basis for the diagnosis of thyroid cancer in Uygurs and Hans.
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Objective To establish protein fingerprints of common bacteria in clinics and to lay a foundation for rapid identification of bacteria.Methods Strains of Escherichia coli,Klebsiella pneumoniae,Pseudomonas aeruginosa and Staphylococcus aureus were detected by surface enhanced laser desorption and ionization time-of-flight mass spectrometry (SELDI-TOF MS).Stable expression protein peaks were screened and the data was input into the self-constructed Fingerwave software for identification of target bacteria by protein fingerprint comparison.Two hundred and fifty-six clinical isolates,including E.coli,K.pneumoniae,P.aeruginosa and S.aureus were detected and the data was compared with constructed database to evaluate its diagnostic value.Results The protein fingerprints including four common bacteia was used to identify the target bacteria with identification rate of 93.1％ (54/58) for E.coli,87.2％ (75/86) for K.pneumoniae,96.2％ (60/63) for P.aeruginosa and 96.2％ (51/53) for S.aureus,respectively.Conclusion Common bacteria can be rapidly identified by using the protein fingerprint comparison,which provides a powerful tool for bacterial identification.
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Objective To check serum protein of children′s Hirschsprung′s disease(HD) and sift specific protein marker which was used in constructing of HD screening and early diagnosis of serum protein fingerprint model.Methods Surface-enhanced laser desorption/ionization time of flight mass spectrometry(SELDI-TOF-MS) was applied to detect protein mass spectrometry of serum specimens in 82 cases(HD group 42 cases,20 cases of other types of obstruction,healthy control group 20 cases) and data were analyzed by bioinformatics methods(support vector machine).Results 1.For HD group and healthy control group:selected 3 M/Z in 3 221.7,5 639.2,6 884.2 protein markers were selected,HD early screening and diagnostic model was established,3 markers in HD low expression,the expressions of them in HD group and healthy control group were 378.29?273.34,295.65?159.38,444.13?254.06 and 1 428.18?1 192.61,1 039.60?785.64,1 115.72?680.48,respectively.There were significant differences in two groups(Pa0.05).Conclusions The establishment of serum protein fingerprint model of HD by SELDI-TOF-MS support vector machine could screen and diagnose HD early,which is a new method of better specificity,high sensitivity and is worthy of further research and application.