Conclusions The introduction of a simple precautionary


Conclusions The introduction of a simple precautionary

rule, together with collaboration with a radiologist, was effective in improving the accuracy of EPs’ CT interpretations. In the future, we would like to continue these efforts to establish a comprehensive CT interpretation system for blunt trauma patients. References 1. Soto JA, Anderson SW: Multidetector CT of blunt abdominal trauma. Radiology 2012, 265:678–693.PubMedCrossRef 2. Merchant N, Scalea T, Stein D: Can CT angiography replace conventional bi-planar angiography in the management of severe scapulothoracic dissociation injuries? Am Surg 2012, 78:875–882.PubMed 3. Flohr TG, Bruder H, Stierstorfer K, Petersilka M, Schmidt B, McCollough CH: Image reconstruction and image quality evaluation for a dual source Temsirolimus nmr CT scanner. Med Phys 2008, 35:5882–5897.PubMedCrossRef 4. Wing VW, Federle MP, Morris JA Jr, Jeffrey RB, Bluth R:

The clinical impact of CT for blunt abdominal trauma. AJR 1985, 145:1191–1194.PubMedCrossRef 5. Z-IETD-FMK clinical trial Huber-Wagner S, Lefering R, Qvick LM, Körner M, Kay MV, Pfeifer KJ, Reiser M, Mutschler W, Kanz KG, Working Group on Polytrauma of the German Trauma Society: Effect of whole-body CT during trauma resuscitation on survival: a retrospective, multicenter study. Lancet 2009, 373:1455–1461.PubMedCrossRef 6. O’Leary MR, Smith M, Olmsted WW, Curtis DJ: Physician assessments of practice pattern in emergency department radiograph interpretation. Ann Emerg Med 1988, 17:1019–1023.PubMedCrossRef 7. James MR, Bracegirdle A, Yates DW: X-ray Ureohydrolase reporting in accident and emergency departments-an PRN1371 area for improvements in efficiency. Arch Emerg Med 1991, 8:266–270.PubMedCentralPubMedCrossRef 8. Tienq N, Grinberg D, Li SF: Discrepancies in interpretation of ED body computed tomographic scans by radiology residents. Am J Emerg Med 2007, 25:45–48.CrossRef 9. Chung JH, Strigel

RM, Chew AR, Albrecht E, Gunn ML: Overnight resident interpretation of torso CT at a level 1 trauma center: an analysis and review of the literature. Acad Radiol 2009, 16:1155–1160.PubMedCrossRef 10. Vorhies RW, Harrison PB, Smith RS, Helmer SD: Senior surgical residents can accurately interpret trauma radiographs. Am Surg 2002, 68:221–226.PubMed 11. Tien HC, Tremblay LN, Rizoli SB, Gelberg J, Spencer F, Caldwell C, Brenneman FD: Radiation exposure from diagnostic imaging in severely injured trauma patients. J Trauma 2007, 62:151–156.PubMedCrossRef 12. Broder J, Warshauer DM: Increasing utilization of computed tomography in the adult emergency department, 2005–2006. Emerg Radiol 2006, 13:25–30.PubMedCrossRef 13. Lee J, Pawa KS, Kirschner J, Pawa S, Wiener DE, Newman DH, Shah K: Computed tomography use in the adult emergency department of an academic urban hospital from 2001 to 2007. Ann Emerg Med 2010, 56:591–596.

The supernatants were transferred to a fresh tube and centrifuged

The supernatants were transferred to a fresh tube and centrifuged at 10,000 g for 5 min to pellet bacterial cells. After

removing the supernatants, pellets were resuspended in 100 μl of TE and boiled for templates as described above. Aliquots (2 μl) of the supernatant were used for both LAMP and PCR amplifications. The spiked oyster sensitivity tests were repeated three times and the lower limits of detection (CFU/g) were reported. Standard curves were generated similarly as in pure culture sensitivity testing. Acknowledgements We thank Feifei Han for technical support and helpful discussions. This study was supported in part by funding from the Louisiana Sea Grant Office under a Program Developmental Project R/PMO-20-PD. References 1. Butt AA, Aldridge KE, Sanders CV: Infections related to the ingestion of seafood Part I: Viral selleck chemicals and bacterial infections. Lancet Infect Dis 2004,4(4):201–212.PubMedCrossRef 2. Centers for Disease Control and Prevention: Preliminary FoodNet Data on the incidence of infection with pathogens transmitted commonly through food–10 States, 2008. MMWR Morb Mortal Wkly Rep 2009,58(13):333–337. 3. Su YC,

Liu C: Vibrio parahaemolyticus : a concern of seafood safety. Food Microbiol 2007,24(6):549–558.PubMedCrossRef GSK1838705A manufacturer 4. Altekruse SF, Bishop RD, Baldy LM, Thompson SG, Wilson SA, Ray BJ, Griffin PM: Vibrio gastroenteritis in the US Gulf of Mexico region: the role of raw oysters. Epidemiol Infect 2000,124(3):489–495.PubMedCrossRef 5. DePaola A, Kaysner CA, Bowers J, Cook DW: Environmental investigations of Vibrio parahaemolyticus in oysters after outbreaks in Washington, Texas, and New York (1997 and 1998). Appl Environ Microbiol 2000,66(11):4649–4654.PubMedCrossRef 6. Centers for Disease Control and Prevention: Vibrio parahaemolyticus infections associated with consumption of raw shellfish–three states, 2006. MMWR Morb Mortal Wkly Rep 2006,55(31):854–856. 7. Iida T, Park K, Honda T: Vibrio parahaemolyticus . In The biology of vibrios. Edited

by: Thompson FL, Austin B, Swings J. Washington, DC: ASM Press; 2006:341–348. 8. Cook DW, Oleary P, Hunsucker JC, Sloan EM, Bowers JC, Blodgett RJ, Depaola A: Vibrio vulnificus and Vibrio parahaemolyticus in U.S. retail shell oysters: a national survey from June 1998 to July 1999. J Food Prot 2002,65(1):79–87.PubMed 9. DePaola A, Nordstrom JL, Bowers JC, Wells JG, Cook DW: Seasonal abundance of total and pathogenic Vibrio MycoClean Mycoplasma Removal Kit parahaemolyticus in Alabama oysters. Appl Environ Microbiol 2003,69(3):1521–1526.PubMedCrossRef 10. Han F, Walker RD, Janes ME, Prinyawiwatkul W, Ge B: Antimicrobial susceptibilities of Vibrio parahaemolyticus and Vibrio vulnificus isolates from Louisiana Gulf and retail raw oysters. Appl Environ Microbiol 2007,73(21):7096–7098.PubMedCrossRef 11. Yamazaki W, Ishibashi M, Kawahara R, Inoue K: Development of a click here loop-mediated isothermal amplification assay for sensitive and rapid detection of Vibrio parahaemolyticus . BMC Microbiol 2008, 8:163.PubMedCrossRef 12.

Pellets were washed twice in buffer A with

Pellets were washed twice in buffer A with PF-6463922 clinical trial 5% Triton X-100 and centrifuged each time. The final pellets were resuspended in 400 μl of buffer B (0.25 M sucrose, 20 mM PI3K inhibitor Tris-HCl, 3 mM MgCl2, 0.4 M KCl, 5 mM DTT, pH 7.85) with 20% glycerol. Protein samples containing 40 μg/lane were separated by SDS-PAGE and transferred to nitrocellulose. Densitometric quantification of each band was performed using Gel-Pro Software (Kapelan Bio-Imaging, Leipzig, Germany) and the amount of galectin-3 in nuclei of tumor tissue relative to the amount of galectin-3 in nuclei of normal kidney tissue was calculated. 2.5 Statistical analysis Statistical analysis was performed using the Graph Pad Prism 5 software package (Graph

Pad software, La Jolla, CA). The levels of each protein in cancer and in normal kidney tissue were

expressed in scatter-plots, including means, as the ratio of the protein normalized to the sum of normal and tumor tissue. In this case densitometric Selleck MS275 values of normal or tumor tissues from each patient were divided by the sum of both. The results were statistically analyzed using Student’s t-test. P < 0.001 was considered significant. 3. Results and discussion 3.1 Histological analysis of normal, intermediate or tumor tissues For a histological evaluation of tissue samples from 39 CCRCC patients different sections of excised kidneys were fixed and stained with azan or hematoxylin/eosin (Figure 1). Here, kidney sections of either normal, intermediate or tumor tissue were analyzed. Sections from the renal cortex are characterized by a frequent occurrence of glomeruli (Figure 1A and 1D). Epithelial cells of the proximal tubules feature Tyrosine-protein kinase BLK microvilli on the apical surface, which leads to a diffuse appearance of the luminal side. In contrast, epithelial cells of the distal tubule are missing the brush border leading to a defined luminal cell border. Collecting ducts, on the other hand, have a larger diameter and like the distal tubule do not have a brush border on the luminal part of the tubule. This well organized and

clearly defined structure is absent in tumor tissue. Figure 1B and 1E depict transitions between normal and tumor tissue. CCRCC sections are shown in Figure 1C and 1F. This kind of tumor is known to grow as a solid tumor with neoplastic cells enriched in cytoplasmic glycogen and lipids, which provokes the clear appearance of tumor cells [15]. Collagen fibers are emphasized in the azan stained samples (Figure 1D-F). The distribution of these extracellular fibers, changes due to the conversion of a well-organized kidney structure into the spreading tumor (Figure 1E). Altogether, the histological appearance of CCRCC-samples used in our study corresponds to typical characteristics already described before [16]. Figure 1 Representative images of hematoxylin & eosin (HE) and azan stained human kidney tissue sections. A-C, H&E-stained kidney sections. D-F, Azan-stained kidney sections. A and D show the renal cortex of normal kidney tissue.

The arrow with the solid line represents the cytoplasmic Wolbachi

The arrow with the solid line represents the cytoplasmic Wolbachia PCR product restricted to the reproductive click here tissues, and the arrow with the dashed line represents

the PCR product found in all tissues tested. A 100 bp DNA ladder is used as size marker Discussion Prevalence of Wolbachia in Glossina species Our study suggests that Wolbachia infections are present in multiple species of the genus Glossina; however, the prevalence of infections in laboratory colonies versus natural populations and the Wolbachia strain harboured in the different species varies. The infection seems to be prevalent to the morsitans (savannah) group, which includes the species G. m. morsitans, G. m. centralis and G. austeni. In addition, uncured laboratory colonies largely show fixation, suggestive of active cytoplasmic

incompatibility (Alam and Aksoy, personal communication). Wolbachia was also detected in the fusca (forest) group, which includes G. brevipalpis. In contrast, Wolbachia infection seems to be largely absent from the palpalis (riverine) group, which includes G. f. fuscipes, G. tachinoides and G. p. palpalis. It should be mentioned, however, that our results depend on the PCR-amplification conditions employed in this study and the presence of low density Wolbachia infections in these species, as has been reported for other insect species [66–68], cannot be excluded. Given that our screen was based on specimens collected during 1994-2010 (see Table 1), new screens should provide information on the dynamics of infection and the expression of cytoplasmic incompatibility. The abovementioned fantofarone data are in accordance with previous reports that detected Wolbachia in G. m. morsitans, G. m. centralis, G. ARS-1620 molecular weight brevipalpis and G. austeni [42, 43].

For the first time our study reports the presence of Wolbachia, albeit at very low prevalence, in G. pallidipes (morsitans group) and in G. p. gambiensis (palpalis group). The infection was only detected in 22 out of 1896 G. pallidipes and in 2 out of 644 G. p. gambiensis individuals; in both species, the infection was present in different populations, as shown in Table 1. Whether the presence of Wolbachia in these two species is a result of horizontal transfer, hybrid introgression or co-divergence in the morsitans and palpalis species complexes, as has recently been shown in other species complexes, has to await investigation [69–71]. The prevalence of Wolbachia was not homogenous among the different natural populations of G. m. morsitans. For example, in the area Gokwe (Zimbabwe), the infection prevalence was almost nine times lower than the average of the other areas. Glossina populations have been shown to exhibit extensive genetic structuring; of which the observed Wolbachia infection dynamics may be a result [72, 73]. Similar observations were made in G.

HEK 293 T cells treated with CCNSs all show over 80% survival rat

HEK 293 T cells treated with CCNSs all show over 80% survival rate, which indicates that the CCNSs show low cytotoxicity and have good biocompatibility. Compared with free etoposide, RAD001 ECCNSs showed obviously lower cytotoxicity against normal cells. It can be inferred that embedding of etoposide into CCNSs can alleviate the cytotoxicity of etoposide

to normal cells. Figure 7 The viability of HEK 293 T and SGC -7901 cells influenced by CCNSs, free etoposide, and ECCNSs. (a) and (b) growth inhibition assay results for HEK 293 T cell line with CCNSs, free etoposide, and ECCNSs after 24 and 48 h incubation. Diagrams were plotted as particle concentrations of 5, 10, 20, and Selleck GDC-0449 40 μg/mL. (c) and (d) growth inhibition assay results for SGC-7901 cell line with CCNSs, free etoposide, and ECCNSs after 24 and 48 h incubation. Diagrams were plotted as etoposide concentrations of 5, 10, 20, and 40 μg/mL. All experiments were carried out in triplicate. Figure 7c, d shows the Regorafenib chemical structure effect of etoposide formulation on the inhibition against SGC-7901 cell growth. The results showed the suppression of SGC-7901 cell growth by different nanohybrids was concentration and time dependent. The inhibition rates of ECCNSs and the free etoposide

are 72.66% and 41.40% over 48 h, respectively. Obviously, ECCNSs showed higher suppression efficiency than free etoposide against the growth of SGC-7901 cells. Synergistic therapeutic effects occurred when etoposide was entrapped by CCNSs. It is possible that good dispersivity and stability

of ECCNSs in culture medium (Figure 5) may lead to a greater cellular uptake than that of free etoposide. Then, the pH values of culture media for SGC-7901 cells were measured as 8.1 (0 h), 7.82 (24 h), and 6.76 (48 h). Therefore, it can be inferred that the release of etoposide from ECCNSs may increase as the pH value of the culture decreases because of its pH-sensitive controlled release pentoxifylline behavior investigated above. The stronger cell inhibition of ECCNSs further confirms that the cell uptake of nanoparticles, the decomposition of ECCNSs as the pH descends, and the passive diffusion of the free etoposide released from the ECCNSs, together helped to achieve the cell inhibition effect. The mechanism of cell growth inhibition by ECCNS nanoparticles was studied using Annexin V-FITC Apoptosis Detection Kit. As we know, early apoptosis was characterized by plasma membrane reorganization and was detected by positive staining for Annexin V-FITC while later stage apoptosis was characterized by DNA damage and detected by positive staining for both Annexin V and PI. In this study, we stained SGC-7091 cells with Annexin V-FITC and PI after the treatment of free etoposide or ECCNSs (30 μg/mL) nanoparticles for 24 h. Meanwhile, cells without any addition were set as control. As given in Figure 8a, SGC-7901 cells without any additive showed 0.

CrossRefPubMed 2 Wong SSY, Yuen Ky:Avian influenza virus infecti

CrossRefPubMed 2. Wong SSY, Yuen Ky:Avian influenza virus infections in humans. Chest2006,129:156–168.CrossRefPubMed 3. Auewarakul P, Suptawiwat O, Kongchanagul A, Sangma C, Suzuki Y, Ungchusak K, Louisirirotchanakul S, Lerdsamran H, Pooruk P, Thitithanyanont A, Pittayawonganon C, Guo CT, Hiramatsu H, Jampangern W, Chunsutthiwat S, Puthavathana P:An avian influenza H5N1 virus that binds

to a human-type eceptor. J Virol2007,81(18):9950–9955.CrossRefPubMed 4. Hatta M, Hatta Y, Kim JH, Watanabe S, Shinya K, Nguye n T, Lien PS, Le QM, Kawaoka Y:Growth PF477736 of H5N1 influenza A viruses in the upper respiratory tracts of mice. PLoS Pathog2007,3(10):e133.CrossRef 5. Mounts A, Kwong H, Izurieta H, Ho YP, Au TP, Lee M, BuxtonBridges selleck inhibitor C, Williams S, Mak K, Katz J, Thompson

W, Cox N, Fukuda K:Case control study of risk factors for avian influenza A (H5N1) disease, Hong Kong, 1997. J this website Infect Dis1999,180(2):505–508.CrossRefPubMed 6. Yamada S, Suzuki Y, Suzuki T, Le MQ, Nidom CA, Sakai-Tagawa Y, Muramoto Y, Ito M, Kiso M, Horimoto T, Shinya K, Sawada T, Kiso M, Usui T, Murata T, Lin Y, Hay A, Haire LF, Stevens DJ, Russell RJ, Gamblin SJ, Skehel JJ, Kawaoka Y:Haemagglutinin mutations responsible for the binding of H5N1 influenza A viruses to human-type receptors. Nature2006,444:378–382.CrossRefPubMed 7. Belshe RB:The origins of pandemic influenza – lessons from the 1918 virus. N Engl J Med2005,353:2209–2211.CrossRefPubMed 8. Taubenberger JK, Reid AH, Lourens RM, Wang R, Jin G, Fanning TG:Characterization of the 1918 influenza virus polymerase genes. Nature2005,437:889–893.CrossRefPubMed 9. Taubenberger JK, Morens DM:1918 influenza: the mother of all pandemics. Emerg Infect Dis2006,12(1):15–22.PubMed 10. Capua I, Alexander DJ:Human health implications of avian influenza viruses and paramyxoviruses. Eur J Clin Microbiol Infect Dis2004,23(1):1–6.CrossRefPubMed 11. Finkelstein DB, Mukatira S, Mehta PK, Obenauer JC, Su X, Webster RG, Naeve CW:Persistent host markers in pandemic and H5N1 influenza

viruses. J Virol2007,81:10292–10299.CrossRefPubMed 12. Chen GW, Chang SC, Mok CK, Lo YL, Kung YN, Huang JH, Shih YH, Wang JY, Chiang Bcl-w C, Chen CJ, Shih SR:Genomic signatures of human versus avian influenza A viruses. Emerg Infect Dis2006,12:1353–1360.PubMed 13. Schölkpf B, Smola AJ:Advanced lectures on machine learning, Chapter: A short introduction to learning with kernelsTbingen, Springer-Verlag 2003, 41–64. 14. Saeys Y, Inza I, Larranaga P:A review of feature selection techniques in bioinformatics. Bioinformatics2007,23(19):2507–2517.CrossRefPubMed 15. The World Health Organization Global Influenza Program Surveillance Network:Evolution of H5N1 avian influenza viruses in Asia. Emerg Infect Dis2005,11:1515–1521. 16.

9 Centers of excellence in nanotechnology

9. Centers of excellence in nanotechnology research and development should be established with state-of-art facilities for nanotechnology in African universities and research institutes.

In these centers, specialized trainings can be organized for personnel as to fast improve on human resource requirements.   10.  States and viable local governments should be encouraged as much as possible to start their own independent nanotechnology initiatives/programs in their various areas of interest. In other words, all government levels: federal, state, and local should be mobilized to enter into linkage/collaboration with developed countries selleckchem in terms of training and development of human resources

such as sponsoring at least three PhD students in nanoscience and technology for training/fellowship abroad on annual basis for the next 10 years.   11.  The government of African nations should encourage established industries within the country (expatriate/indigenous companies) to explore the area of nanotechnology in their future investments. These industries should work in collaborations Cell Cycle inhibitor with universities in these areas of research.   12.  Government and researchers can establish nanoscience centers or float nanotechnology companies that will promote a specific nanoproduct to ensure technological growth and enhance the economy of the nation as well. This will promote employment/job activities in nanotechnology (especially in the area of research and development).   13.  Research grants should also be made available to Masters/PhD students willing to work in this area.   14.  Researchers in research institutes should also be motivated by giving them reasonable incentive in the form of research grants and all forms of moral support.   15.  Government and

researchers should focus on our available natural resources: how they can be harnessed/maximized using nanotechnology.   Conclusions pheromone Nanotechnology is the material transformation, advancement, and development of our time. Many nations of the world including some developing countries have since launched their nanotechnology programs and are at various levels of success. African nations and indeed other developing nations at the expression of interest stage can also embrace the challenges with vigor and determination to make it by establishing a fortified nanoscience/nanotechnology program in their country through PI3K inhibitor proper curriculum development, timely legislation, and budgetary funding/investment and collaborations in partnership with the private sector and donor nations/agencies. The long-term economic benefits will surely increase the country’s sustainability and global competitiveness.

AB2-type monomers were synthesized, which made the solution prese

AB2-type monomers were synthesized, which made the solution present a light yellow color [15]. The solution was transferred to an eggplant-shaped flask and put into an automatic rotary vacuum evaporator. After

evaporation of methanol under low pressure, the temperature was Combretastatin A4 chemical structure raised to 150°C using an oil bath to initiate the polymerization of the monomers. Eventually, a yellowish viscous multi-amino compound (RSD-NH2) was obtained with a 4-h polymerization. Preparation of the silver nanoparticles Silver nitrate (AgNO3) and the multi-amino compound (RSD-NH2) were dissolved in deionized water, separately. Then AgNO3 aqueous solution was added dropwise into the RSD-NH2 solution under vigorous stirring. AZD1480 The initial concentrations of the reaction components were 0.017, 0.085, 0.17, and 0.255 g/l for AgNO3 and 2 g/l for RSD-NH2. The reacting mixture was kept stirring at room temperature until reduction of Ag+ to Ag was completed and brown silver nanoparticles appeared. Characterization of the silver nanoparticles The size distribution and polydispersity of the silver nanoparticles were determined by MK5108 ic50 dynamic light scattering (DLS)

using a HPPS 5001 grain size analyzer (Malvern Instruments Ltd., Malvern, UK). Transmission electron microscopy (TEM) micrographs were obtained using a Tecnai G220 TEM (FEI Company, Hillsboro, OR, USA) operated at a 300-kV accelerating voltage. TEM samples were prepared by evaporating a drop of nanoparticle solution onto a 200-mesh copper grid, which was coated with a carbon support film. UV-visible (UV-vis) absorption spectra were recorded using an UV-3010 spectrophotometer (Shimadzu Ltd, Japan). K/S absorption spectra of treated silk fabrics were tested under a D65 illuminant at 10° observer using an Ultrascan XE spectrophotometer (HunterLab Co. Ltd., Reston, VA, USA). The X-ray

diffraction (XRD) patterns of the silver nanoparticles were taken in the 2θ range of 20° to 80° at a scanning rate of 2°/min using Cu Kα radiation with a model D/max3c X-ray detector diffraction system (Rigaku Ltd, Japan). For Fourier transform infrared (FTIR) analysis, the colloidal silver solution was poured into acetone only and the resulting precipitates were dried for characterization. FTIR spectra were performed on a Nicolet 5700 FTIR spectrophotometer (Thermo Electron Corporation, USA). Preparation of silver nanoparticle-treated silk fabrics The silk fabrics were immersed into the solution of mixed AgNO3 and RSD-NH2 at their respective concentration with the process of dipping and rolling twice. Subsequently, the fabrics were steamed for 30 min in a steam engine (BTZS10A, China). After that, the fabrics were washed by deionized water and dried at ambient temperature to produce the finished silk fabric.

CrossRef 8 Uddin Z, Kumar M: Unsteady free convection in a fluid

CrossRef 8. Uddin Z, Kumar M: Unsteady free convection in a fluid past an inclined plate immersed in a porous medium. Comput Model New Tech 2010,14(3):41–47. 9. Neild DA, Bejan A: Convection in Porous Media. 3rd edition. Springer, New York; 2006. 10. Choi S, Eastman JA: Enhancing thermal conductivity of fluids with nanoparticles. In Developments and Applications of Non-Newtonian Flows. Edited by: Siginer DA, Wang HP. American Society of Mechanical Engineers,

New York; 1995:99–105. 11. Wang X-Q, Majumdar AS: Heat YAP-TEAD Inhibitor 1 cost transfer characteristics of nanofluids: a review. Int J Thermal Sci 2007, 46:1–19.CrossRef 12. Wang X-Q, Majumdar AS: A review on nanofluids – part I: theoretical and numerical investigations. Braz J Chem Eng 2008,25(4):613–630. 13. Chon HC, Kihm DK, Lee SP, Stephan Choi US: Empirical correlation finding the role of temperature and particle size for nanofluid (Al2O3) thermal conductivity enhancement. Appl Phys Lett 2005, 87:153107.CrossRef 14. Corcione M: Empirical VX-689 mw correlating equations

for predicting the effective thermal conductivity and dynamic viscosity see more of nanofluids. Energy Convers Manage 2011, 52:789–793.CrossRef 15. Ho CJ, Chen MW, Li ZW: Numerical simulation of natural convection of nanofluid in a square enclosure: effects due to uncertainties of viscosity and thermal conductivity. Int J Heat Mass Transfer 2008, 51:4506–4516.CrossRef 16. Elif BO: Natural convection of water-based nanofluids in an inclined enclosure with a heat source. Int J Thermal Sci 2009, 48:2063–2073.CrossRef 17. Yu W, Choi SUS: The role of interfacial layers in the enhanced thermal conductivity of nanofluids: a renovated Maxwell model. J Nanopart Res 2003, 5:167–171.CrossRef 18. Abu-Nada E, Oztop HF: Effects of inclination

angle on natural convection in enclosures filled with Cu–water nanofluid, Int J heat Fluid Flow. Int J Heat and Fluid Flow 2009,30(4):669–678.CrossRef 19. Abu-Nada E: Effect of variable viscosity and thermal conductivity of Al2O3-water nanofluid on heat transfer enhancement in natural convection. Int J Heat and Fluid Flow 2009, 30:679–690.CrossRef (-)-p-Bromotetramisole Oxalate 20. Ho CJ, Liu WK, Chang YS, Lin CC: Natural convection heat transfer of alumina-water nanofluid in vertical square enclosure: an experimental study. Int J Thermal Sci 2010, 49:1345–1353.CrossRef 21. Hamad MAA, Pop I: Unsteady MHD free convection flow past a vertical permeable flat plate in a rotating frame of reference with constant heat source in a nanofluid. Heat Mass Transfer 2011, 47:1517–1524.CrossRef 22. Rana P, Bhargava R: Numerical study of heat transfer enhancement in mixed convection flow along a vertical plate with heat source/sink utilizing nanofluids. Comm Nonlinear Sci Numer Simulate 2011, 16:4318–4334.CrossRef 23. Zoubida H, Eiyad A-n, Oztop HF, Mataoui A: Natural convection in nanofluids: are the thermophoresis and Brownian motion effects significant in nanofluid heat transfer enhancement? Int j Thermal Sci 2012, 57:152–162.CrossRef 24.

FEMS Microbiol Lett 1999, 171:1–9 PubMedCrossRef 13 Huddleston A

FEMS Microbiol Lett 1999, 171:1–9.PubMedCrossRef 13. Huddleston AS, Cresswell N, Neves MCP, Beringer JE, Baumberg S, Thomas DI, Wellington EMH: Molecular detection of streptomycin-producing streptomycetes in Brazilian soils. Appl Environ Microbiol 1997, 63:1288–1297.PubMed 14. Gupte M, Kulkarni P, Ganguli BN: Antifungal antibiotics. Appl Microbiol Biotechnol 2002, 58:46–57.PubMedCrossRef 15. Poole EJ, Bending GD, Whipps JM, Read DJ: Bacteria associated with Pinus sylvestris-Lactarius rufus ectomycorrhizas and their effects on mycorrhiza formation in vitro. New Combretastatin A4 molecular weight Phytol 2001, 151:743–751.CrossRef

16. Ames RN: Mycorrhiza development in onion in repsonse to inoculation with chitin-decomposing actinomycetes. selleck screening library New Phytol 1989, 112:423–427.CrossRef 17. Abdel-Fattah GM, Mohamedin AH: Interactions between a vesicular-arbuscular mycorrhizal fungus ( Glomus intraradices

) and Streptomyces coelicolor and their effects on sorghum plants grown in soil amended with chitin of brawn scales. Biol Fertil Soils 2000, 32:401–409.CrossRef 18. Maier A, Riedlinger J, Fiedler H-P, Hampp R: Actinomycetales bacteria from a spruce stand: characterization and effects on growth of root symbiotic, and plant parasitic soil fungi in dual culture. Mycol Prog 2004, 3:129–136.CrossRef 19. Schrey SD, Salo V, Raudaskoski M, Hampp R, Nehls U, Tarkka MT: Interaction with mycorrhiza helper bacterium Streptomyces sp AcH 505 modifies buy MK5108 organisation of actin cytoskeleton in the ectomycorrhizal fungus Amanita muscaria (fly agaric). Curr Genet 2007, 52:77–85.PubMedCrossRef 20. Schrey SD, Schellhammer M, Ecke M,

Hampp R, Tarkka MT: Mycorrhiza helper bacterium Streptomyces AcH 505 induces differential gene expression in the ectomycorrhizal fungus Amanita muscaria . New Phytol 2005, 168:205–216.PubMedCrossRef 21. Lehr NA, Schrey SD, Bauer R, Hampp R, Tarkka only MT: Suppression of plant defence response by a mycorrhiza helper bacterium. New Phytol 2007, 174:892–903.PubMedCrossRef 22. Deveau A, Palin B, Delaruelle C, Peter M, Kohler A, Pierrat JC, Sarniguet A, Garbaye J, Martin F, Frey-Klett P: The mycorrhiza helper Pseudomonas fluorescens BBc6R8 has a specific priming effect on the growth, morphology and gene expression of the ectomycorrhizal fungus Laccaria bicolor S238N. New Phytol 2007, 175:743–755.PubMedCrossRef 23. Tarkka MT, Herrmann S, Wubet T, Feldhahn L, Recht S, Kurth F, Mailänder S, Bönn M, Neef M, Angay O, et al.: OakContigDF159.1, a reference library for studying differential gene expression in Quercus robur during controlled biotic interactions: use for quantitative transcriptomic profiling of oak roots in ectomycorrhizal symbiosis. New Phytol 2013, 199:529–540.PubMedCrossRef 24. Richard F, Millot S, Gardes M, Selosse MA: Diversity and specificity of ectomycorrhizal fungi retrieved from an old-growth Mediterranean forest dominated by Quercus ilex. New Phytol 2005, 166:1011–1023.PubMedCrossRef 25.