Acknowledgements The authors thank the

Program 973 (grant

Acknowledgements The authors thank the

Program 973 (grant no.: 2013CB632102) and the National Natural Science Foundation of China (grant no.: 61176117). References 1. Han HS, Seo SY, Shin JH: Optical gain at 1.54 μm in erbium-doped silicon nanocluster sensitized waveguide. Appl Phys Lett 2001, 79:4568–4570.CrossRef 2. Miritello M, Savio RL, Iacona F, Franzò G, Irrera A, Piro AM, Bongiorno C, Priolo F: Efficient luminescence and energy transfer in erbium silicate https://www.selleckchem.com/products/dibutyryl-camp-bucladesine.html thin films. Adv Mater 2007, 19:1582–1588.CrossRef 3. Izeddin I, Moskalenko AS, Yassievich IN, Fujii M, Gregorkiewicz T: Nanosecond dynamics of the near-infrared photoluminescence of Er-doped SiO 2 sensitized with Si nanocrystals. Phys Rev Lett 2006, 97:207401.CrossRef 4. Anopchenko A, Tengattini see more A, Marconi A, Prtljaga N, Ramírez JM, Jambois O, Berencén Y, Navarro-Urrios D, Garrido B, Milesi F, Colonna JP, Fedeli JM: Bipolar pulsed excitation

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Arch Surg 1996, 131:129–132 PubMed 12 Paran H, Butnaru G, Hass I

Arch Surg 1996, 131:129–132.PubMed 12. Paran H, Butnaru G, Hass I, Afanasyv

A, Gutman M: Evaluation of a modified percutaneous tracheostomy technique without bronchoscopic guidance. Chest 2004, 126:868–871.learn more PubMedCrossRef 13. Sengupta N, Ang KL, Prakash D, George SJ: Twenty months’ routine use of a new percutaneous tracheostomy Gilteritinib datasheet set using controlled rotation dilation. Anesth Analg 2004, 99:188–192.PubMedCrossRef 14. Toye FJ, Weinstein JD: Clinical experience with percutaneous tracheostomy and cricothyroidotomy in 100 trauma patients. J Trauma 1986, 26:1130–1140.CrossRef 15. Bove MJ, Afifi MS: Tracheotomy procedure. In Tracheostomies: the complete guide. Edited by: Morris L, Afifi S. New York: Springer Publishing Company; 2010:17–40. 16. Toye FJ, Weinstein JD: A percutaneous tracheostomy device. Surgery 1969, 65:384–389. 17. Ernest LW, Brink PRG: The history of percutaneous tracheostomy. J Laryngol

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dilatational tracheostomy surgical tracheostomy in critically ill patients: a systematic review and meta-analysis. Crit Care 2006, 10:R55.PubMedCrossRef 23. Friedman Y, Mayer AD: Bedside percutaneous Temsirolimus mw tracheostomies in critically ill patients. Chest 1993, 104:532–535.PubMedCrossRef 24. Hill BB, Zweng TN, Maley RH, Charash WE, Tourasarkissian B, Kearney PA: Percutaneous dilational tracheostomy: report of 356 cases. J Trauma 1996, 40:238–243.CrossRef 25. Brambrink A: Percutaneous dilatation tracheostomy: which technique is the best for the critically ill patient, and how can we gather further scientific evidence? Crit Care 2004, 8:319–321.PubMedCrossRef 26. Watters M, Thorne G, Cox C, Monk C: Tracheal trauma from percutaneous tracheostomy using the Griggs method. Anaesthesia 2002, 57:249–252.PubMedCrossRef 27. Montcriol A, Bordes J, Asencio Y, Prunet B, Lacroix G, Meaudre E: Bedside percutaenous tracheostomy: a prospective randomised comparison of PercuTwist versus Griggs’ forceps dilational tracheostomy. Anaesth Intensive Care 2011, 39:209–216.PubMed 28. Sarkar S, Kelly A, Townsend R: Survey of percutaneous tracheostomy practice in UK intensive care units.

1B), a finding confirming the absence of LPS contamination in the

1B), a Cyclopamine research buy finding confirming the absence of LPS contamination in the His-OprF preparation. Interestingly, levels of IL-12p70 production were higher and those of IL-10 and IL-6 lower in DCs stimulated with the recombinant porin as compared to the native porin (Fig. 1C), a finding suggesting the superior capacity of the recombinant OprF to activate DCs for Th1 priming. Figure 1 Activation of murine dendritic find more cells by OprF. Purified splenic dendritic cells (DCs) were pulsed with LPS (10 μg/ml), native (n) or recombinant (His) OprF at different concentrations for 18 hrs before the assessment of costimulatory molecule

expression (A) and cytokine production (B and C). FACS analysis was done by staining with FITC and PE-conjugated mAbs to costimulatory molecules. Number represent percent of positive cells. Cytokine levels were determined in the culture supernatants by cytokine-specific ELISA. * Indicates P < .05 (cytokine production by LPS- or porin-pulsed versus unpulsed (-) DCs). ** Indicate P < .05 (cytokine production by n-OprF-pulsed tlr4 -/- DCs versus n-OprF-pulsed WT DCs only and His-OprF-pulsed DCs versus

n-OprF-pulsed DCs). OprF-pulsed DCs protect mice from PAO1 infection Based on these results, we assessed the capacity of DCs pulsed with 3-deazaneplanocin A order either porin to immunize mice against P. aeruginosa lung infection. To this purpose, porin-pulsed DCs were administered to mice a week before the intranasal infection with the PAO1 strain. Mice were monitored for bacterial growth, lung inflammatory pathology and cytokine production locally in the lung (at 4 days after the infection) or in the thoracic lymph nodes (TLNs, at 7 days after infection). The results (Fig. 2A) showed that the adoptive transfer of DCs pulsed with n-OprF exerted significant protection in terms of reduced bacterial growth, both at 4 and 7 days after the infection. No effects on bacterial clearance was observed upon adoptive transfer of unpulsed DCs.Interestingly, an even higher bacterial clearance was observed upon adoptive transfer of mafosfamide DCs pulsed with His-OprF, being the bacterial

growth dramatically reduced as early as 4 days after the infection. Figure 2 OprF-pulsed DCs protect mice from infection with the PAO1 strain. Splenic 105 dendritic cells (DCs), either unpulsed (-) or pulsed as in legend to figure 1, were administered into recipient mice intraperitoneally a week before the intranasal injection of 3 × 107 P. aeruginosa PAO1 strain. (A) Resistance to infection was assessed in terms of CFU at different days after the infection and (B) cytokine production in lung homogenates and culture supernatants of total cells from TLNs stimulated with plate bound anti-CD3e (2 μg/ml) and anti-CD28 (2 μg/ml) for 72 hours. Results are expressed as mean ± SE. * Indicates P < .05, mice receiving pulsed versus unpulsed (-) DCs. In C, – and + alone indicate uninfected and infected mice, respectively.

PubMedCrossRef 26 Lejon DP, Nowak V, Bouko S, Pascault N, Mougel

PubMedCrossRef 26. Lejon DP, Nowak V, Bouko S, Pascault N, Mougel C, Martins JM, Ranjard L: Fingerprinting and diversity of bacterial copA Silmitasertib cost genes in response to soil types, soil organic status and copper contamination. FEMS Microb Ecol 2007, 61:424–437.CrossRef 27. Flores C, Morgante V, González M, Navia R, Seeger M: Adsorption studies

of the herbicide simazine in agricultural soils of the Aconcagua valley, central Chile. Chemosphere 2009, 74:1544–1549.PubMedCrossRef 28. Heuer H, Wieland G, Schönfeld J, Schönwälder S, Gomes NCM, Smalla K: Bacterial community profiling using DGGE or TGGE analysis. In Environmental Molecular Microbiology: HKI-272 mw Protocols and Applications. Edited by: Rouchelle P. Horizon Scientific Press, Wymondham; 2001:177–190. 29. Hernández M, Villalobos P, Morgante V, González M, Reiff C, Moore E, Seeger M: Isolation and characterization of novel simazine-degrading bacterium from agricultural soils of central Chile, Pseudomonas sp. MHP41. FEMS Microbiol Lett 2008, 286:184–190.PubMedCrossRef

Bromosporine clinical trial 30. Konstatinidis KT, Isaacs N, Fett J, Simpson S, Long DT, Marsh TL: Microbial diversity and resistance to copper in metal-contaminated lake sediment. Microb Ecol 2003, 45:191–202.CrossRef 31. Rojas LA, Yáñez C, González M, Lobos S, Smalla K, Seeger M: Characterization of the metabolically modified heavy metal-resistant Cupriavidus metallidurans strain MSR33 generated for mercury bioremediation. PLoS One 2011, 14:e17555.CrossRef 32. Liebert C, Wireman J, Smith T, Summers A: Phylogeny of mercury resistance (mer) operons of Gram-negative bacteria isolated from the fecal flora of primates. Appl Environ Microbiol 1997, 63:1066–1076.PubMed 33. Tamura K, Peterson D, Peterson N, Selleckchem Rucaparib Stecher G, Nei M, Kumar S: MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance,

and maximum parsimony methods. Mol Biol Evol 2011, 28:2731–2739.PubMedCrossRef 34. Kado C, Liu S: Rapid procedure for detection and isolation of large and small plasmids. J Bacteriol 1981, 145:1365–1373.PubMed 35. Guo Z, Meghari M, Beer M, Ming H, Rahman MM, Wu W, Naidu R: Heavy metal impact on bacterial biomass based on DNA analysis and uptake by wild plants in the abandoned copper mine soil. Bioresour Technol 2009, 100:3831–3836.PubMedCrossRef 36. Ellis RJ, Morgan P, Weightman AJ, Fry JC: Cultivation-dependent and -independent approaches for determining bacterial diversity in heavy-metal-contaminated soil. Appl Environ Microbiol 2003, 69:3223–3230.PubMedCrossRef 37. Deng H, Li XF, Cheng WD, Zhu YG: Resistance and resilience of Cu-polluted soil after Cu perturbation, tested by a wide range of soil microbial parameters. FEMS Microbiol Ecol 2009, 70:137–148.PubMedCrossRef 38. Abou-Shanab RI, van Berkum P, Angle J: Heavy metal resistance and genotypic analysis of metal resistance genes in Gram-positive and Gram-negative bacteria present in Ni-rich serpentine soil and in the rhizosphere of Alyssum murale . Chemosphere 2007, 68:360–367.PubMedCrossRef 39.

In Figure 1a, a plane view SEM image of the surface of the as-for

In Figure 1a, a plane view SEM image of the surface of the as-formed film is depicted, while in Figure 1b, we see a larger area SEM image of the same film after pore widening for 40 min in 0.86 M phosphoric acid. The same film is shown in higher magnification in the inset of Figure 1b, where the hexagonal pore arrangement is clearly depicted and schematically identified in the image. Figure 1 Examples of SEM images of a PAA film on Si. The specific PAA film on Si was fabricated by anodic oxidation of an Al film/Si in oxalic acid aqueous solution,

using two-step anodization. Images (a) and (b), and the inset AZ 628 of (b) are top view images, while (c) depicts a cross-sectional image. The pore diameter

in this sample is approximately 40 nm after pore widening for a duration of 40 min. selleck compound The pore widening process is performed after the end of the anodic oxidation by immersion of the samples in a 0.86 M phosphoric acid aqueous solution. This process results in partial dissolution of the pore inner wall surface and in the dissolution of the inverted barrier layer at the base of each pore. In order to improve long range pore ordering of the PAA film, a two-step anodization process was applied in all cases. This process starts with a thick Al film, and part of it is consumed by anodization and alumina dissolution. Pore initiation sites for the second anodization step are thus formed, which help obtain perfect long range pore ordering of the PAA film. Pattern transfer to the Si substrate General Nanopatterning of Si through self-assembled porous anodic aluminum oxide thin films is an interesting lithography-free process for fabricating regular nanoscale patterns on the Si wafer. The area to be

patterned can be pre-selected by patterning the Al thin film, which is then SB273005 anodized using the appropriate conditions. Different processes were reported in the literature for pattern transfer through a PAA film; however, no systematic Orotidine 5′-phosphate decarboxylase study was performed to achieve optimized pattern transfer to the Si wafer. Reported works include electrochemical etching of Si through the PAA film [1, 3], electrochemical oxidation of Si through the PAA pores, followed by the removal of the PAA film and wet chemical etching of the remaining undulated electrochemical SiO2 layer [18, 19], and reactive ion etching of Si through the PAA mask using SF6 gas or a mixture of CF4:Ar:O2 gases [20, 21]. In most of the above, the patterned features on the Si wafer were very shallow, and the pattern transfer anisotropy was not considered. In this work, we systematically investigated the etching of Si through a PAA masking layer directly developed on the Si wafer by anodic Al film oxidation.

cholerae N169-dtatABC in soft agar and found that the

cholerae N169-dSapanisertib cost tatABC in soft agar and found that the motility rate of the tatABC mutant was about 90% of that Selleck PD173074 of the wild type strain (Fig. 4C and 4D),

indicating that there is no significant influence of the tat mutation on the motility of cells. To validate whether the tatABC mutation of V. cholerae impacts flagellum synthesis, flagella were extracted from N16961 and N169-dtatABC cells. The purity of the flagellum extracts in HEPES buffers was confirmed by denaturing SDS-PAGE (data not shown). The concentrations of the flagellum extracts from N16961 and N169-dtatABC cells were 1.328 μg/g and 1.303 μg/g of wet weight of bacterial culture, respectively. We did not find any difference in the amount of extracted flagellum protein between the N16961 and N169-dtatABC cells. Flagella of the mutants were also observed under the electron

microscope (Fig. 4B). Using fluorescence microscopy, we discovered that the motility of the Tat mutants was active. These results are consistent with the normal motility of the Tat mutant in minimal motility agar (Fig. 4C and 4D). Therefore, the Tat system of V. cholerae does not seem to influence flagellum synthesis or selleck motility, unlike that of E. coli O157:H7 [14]. Biofilm formation and CT production The ability to form biofilm formation is important for environmental survival and is a determining factor of virulence in pathogenic bacteria. To determine biofilm formation for the Tat mutants, we used a crystal violet staining method to quantify the adhering bacteria cultures in 96-well plates. Our findings indicate that under both aerobic and anaerobic conditions, the biofilm formation ability of the Tat mutant distinctly decreased (Fig. 5), which demonstrated that the Tat system of V. cholerae

may play an important role in biofilm formation. Figure 5 Comparison of biofilm formation by strains N16961 and N169-dtatABC cultured under aerobic and anaerobic conditions. For each strain (N16961 and n169-dtatABC), under each condition (aerobic and anaerobic), and at each time point, 7 wells were measured for repeat in one test. And the tests were repeated for three times. T-test was used for the comparison of strains N16961 and N169-dtatABC at pheromone each time point and under each condition. P values are less than 0.05 in all of the comparisons. We also assessed cholera toxin (CT) production, which is secreted via the type II pathway [35–37]. To compare CT secretion of the wild type strain and tat mutants, we quantified CT production in the supernatant of N16961 and N169-dtatABC cells grown under AKI conditions by GM1-ELISA. Unexpectedly, the amount of CT secreted into the supernatant by the tatABC mutant strain was markedly less than that secreted by the wild type strain (7.3 μg/ml/OD600 for N169-dtatABC and 18.1 μg/ml/OD600 for N16961, P < 0.05 for the comparison of these two strains, One-Way ANOVA: Post Hoc Multiple Comparisons method, Fig. 6).

Twenty two percent of patients (34 patients) presented with overt

Twenty two percent of patients (34 patients) presented with overt bleeding. Table 1 Comparison of clinical characteristics among non-ACCESS, pre-ACCESS, and post-ACCESS groups at LHSC Clinical characteristics Non-ACCESS Pre-ACCESS Post-ACCESS P value   Number of patients, n 65 47 37 – Reason for presentation to hospital, n(%):       check details 0.98   Change in bowel movements 40 (62) 26 (55) 14 (38)     Rectal Bleeding 15 (23) 12 (26) 7 (19)     Anemia 14 (22) 7 (15) 8 (22)     Obstruction 37 (57) 22 (47) 15 (41)     Pain 49 (75) 33 (70) 23 (62)   Colonoscopy, n(%):       0.02   Prior outpatient colonoscopy 15 (23) 19 (40) 5 (14)     Inpatient colonoscopy 16 (25)

9 (19) 14 (38)   Indications for colonoscopy, n(%):       0.91   Change in bowel movements 15 (23) 5 (11) 15 (40)     Rectal bleeding 13 (20) 7 (15) 11 (30)     Anemia 14 (22) 6 (13) 7 (19)     Obstruction 9 (14) 4 (8) 11 (30)     Pain 17 (26) 9 (19) 15 (40)   Location of malignancy, n(%):       0.49   Rectal 6 (9) 7 (15) 1 (3)     Sigmoid and rectosigmoid 15 (23) 17 (36) 11 (30)     Descending 6 (9) 4 (8) 3 (8)     Transverse 7 (11) 4 (8) 3 (8)     Ascending 31

(48) 15 (32) 19 (51)   Stage, n(%):       0.15   0/I 3 (5) 5 (11) 4 (11)     II 25 (38) 10 (21) 18 (49)     III 25 (38) 20 (42) 11 (30)     IV 10 (15) 9 (19) 4 (11)     click here Unknown 2 LY2835219 (3) 4 (8) 0 (0)   P values are shown for comparisons between pre- and post-ACCESS groups. Seventy eight patients (52%) underwent colonoscopy: 31 patients (48%) were in the non-ACCESS group; 28 patients (60%) were in the pre-ACCESS group; and 19 Sulfite dehydrogenase patients (51%)

were in the post-ACCESS group (Table 1). There were no statistical differences between the three groups for symptoms necessitating colonoscopy (p = 0.91), location of the malignancy (p = 0.49), or pathological stage (Table 1; p = 0.15). However, we observed a significant difference in the distribution of inpatient and outpatient colonoscopies between the pre- and post-ACCESS groups. In the pre-ACCESS group, 9 patients (19%) had an inpatient colonoscopy while 19 patients (40%) had an outpatient colonoscopy; in contrast, 14 post-ACCESS patients (38%) had an inpatient colonoscopy compared to only 5 patients (14%) who had an outpatient colonoscopy (p = 0.02). We also observed a significant difference between the pre- and post-ACCESS groups with respect to the timing of surgical treatment following inpatient colonoscopy (Table 2). In the pre-ACCESS group, five out of 9 patients undergoing inpatient colonoscopy (56%) were discharged and underwent surgery during a separate admission: three patients were diagnosed with CRC after an admission for rectal bleeding, stabilized with blood transfusions, and underwent elective surgery within a week of being discharged from their initial admission, due to a lack of emergency OR time.

Ecological factors related to questing behavior facilitate contac

Ecological factors related to questing behavior facilitate contact with bacteria in the environment and expand Epigenetics inhibitor the complexity of bacterial communities residing on a tick’s exoskeleton. Further investigation of the microbiota in the tick exoskeleton is needed to understand the ecology of that microbial habitat in the context of host-microbe and microbe-microbe interactions. Studies in other biological systems have revealed the complexity of such interactions that offer the opportunity to develop novel diagnostic and therapeutic interventions [42, 43], which in the context

of this study could translate into options for tick biological control. Once on the host, ticks come in contact with the skin microbiota and become exposed to see more infected blood to fulfill

their obligate hematophagous habit, or other host body fluids, while searching for and attaching at predilection sites. Systemic infection with bacteria acquired from the host skin, including S. marcescens, was documented in Dermacentor andersoni following a stringent, sterile sample processing protocol prior to tick trituration and media inoculation with the resulting suspension [44]. Here, it is documented that R. microplus harbors S. marcescens. Isolation of the bacterial genera Staphylococcus from R. annulatus and R. decoloratus, and Streptococcus from R. annulatus without specific characterization was reported previously [41, 45, 46]. Thus, systemic infection of R. microplus with S. sciuri and S. dysgalactiae may have occurred through host skin contact. This route of infection could also apply to F. magna because of its presence in the host skin habitat. Since C. glutamicum was detected in eggs laid by females collected in the field, it is possible that the ticks acquired the bacterium from hosts exposed to https://www.selleckchem.com/products/prn1371.html environmental sources. Given their economic impact on livestock production systems, our results indicate cattle transmission studies are warranted using R. microplus infected with S. dysgalactiae, S. marcescens,

and F. magna. The detection of S. chromogenes in cattle ticks from Australia and outbreaks in the USA, as well as the suite of bacterial genera shared by specimens from Australia, Bangladesh, and the USA noted here suggest GNA12 that there may be a core microbiome associated with R. microplus. Alternatively, bacteria found in common between R. microplus, R. annulatus, R. decoloratus, and R. geigyi indicates that microbiota composition is influenced by the ecological niche they occupy during the parasitic stage, i.e. cattle. More extensive surveys are required to ascertain the biogeography of the microbiome across time and space as well as among and between R. microplus populations. As it has been shown for other anthropod vector-bacteria systems, these studies will help determine if bacterial communities associated with R.

The LepA protein from M tuberculosis possess GTPase activity Ba

The LepA protein from M. tuberculosis possess GTPase activity. Bacterial GTP-binding proteins play a role in regulation of ribosomal function and cell cycle, modulation of DNA partitioning and DNA segregation [74]. In Helicobacter pylori LepA is important for growth at low pH and may play a role in infection [75]. The lysS gene from M. avium is 81% homologous to the lysX gene from M. tuberculosis. LysX from M. tuberculosis is required for synthesis of lysinylated phosphatidylglycerol. A LysX mutant was shown to be sensitive to cationic antibiotics and peptides, to be more lysosome-associated and to display defective growth in mouse and

guinea pig lungs [76]. So far, nothing is known about the role of the Eltanexor chemical structure AZD1080 clinical trial nitrogenase reductase family protein

for growth and pathogenicity of mycobacteria and answering this question will be one of our future aims. In summary, by analysing 50 random mutants, we uncovered four genes from MAH to play a role in the interaction with host cells and thus in virulence. The homologues of three of the four genes were shown to contribute to virulence in other bacterial species, which supports the significance of our screening procedure. Mutant complementation and evaluation of polar down-stream effects To prove that the phenotypes of the mutants were indeed a cause of the inactivation of the mutated genes, we aimed at complementing the mutants by introducing the intact genes by electroporation. Only the transfer of gene MAV_3128 into the respective mutant was successful. Mutant MAV_3128 had shown the strongest and most different phenotypic changes in comparison to wild-type among the eight tested mutants in almost all the phenotypic tests. A complementation is best performed if the copy number of gene transcripts generated by the complementing Baf-A1 in vivo gene narrows the copy number in the wild-type. We therefore used a plasmid for cloning (pMV306) that integrates once in the genome of the mutant and included the upstream region of MAV_3128 to most likely cover the promoter of the gene. This upstream region had a size of about 680 bp and the gene MAV_3127, which is

located upstream of MAV_3128, has an orientation in opposite direction of MAV_3128 (see see more Figure  2). Therefore it was expected that the upstream region will contain the promoter sequence of the MAV_3128 gene. Thus a 3907 bp DNA fragment was cloned into the integrative vector pMV306. The resulting recombinant plasmid pFKaMAV3128 was successfully transformed into the mutant MAV_3128 to generate the complemented strain MAV3128Comp. Selected phenotypic tests (plating on Congo Red Agar and intracellular survival) were repeated with the complemented strain. Upon plating on Congo Red agar (Figure  7 A), the pale colour of mutant MAV_3128 could no longer be seen in MAV3128Comp, except some pale corners in colonies. This may indicate the loss of the plasmid in absence of selection pressure.

Figure 4 Percentage of Caco-2 cells evaluated by AO/EB The data

Figure 5 Various morphologies of Caco-2 cells stained with AO/EB. VN would have a uniform bright green SAHA order nucleus and orange cytoplasm. VA, whose membranes are still intact but has started to cleave

its DNA, would still have a green nucleus, but NVA, whose chromatin condensation becomes visible in the form of bright orange areas of condensed chromatin in the nucleus (EB predominates over AO), and NVN will have a uniform bright orange nucleus. (A) The control group, (B) 26-nm ZnO NPs at 50 μg/ml, Selleckchem QNZ (C) 26-nm ZnO NPs at 12.5 μg/ml, (D) 62-nm ZnO NPs at 50 μg/ml, (E) 62-nm ZnO NPs at 12.5 μg/ml, (F) 90-nm ZnO NPs at 50 μg/ml, and (H) 90-nm ZnO NPs at 12.5 μg/ml. VN, viable cell; VA, early apoptotic cell; NVA, late apoptotic cells; NVN, necrotic cell; EB, ethidium bromide; AO, acridine orange. In Figure 6A, no abnormal DNA content was observed. The diploid was 94% in the G0/G1 phase, 3% in the S phase, and 2.93% in the G2/M phase. Figure 6B showed that the DNA content of cultures exposed to 26-nm ZnO NPs at 12.5 μg/ml was similar

to the control group cells that were distributed to the G0/G1, S, and G2/M phases of the cell cycle. Figure 6C showed that the diploid was 78% in the G0/G1 phase, 11.1% in the S phase, and 10.8% in the G2/M phase. With an increase in the concentration, the percentage of cells during the G1 phase decreased significantly, the percentage of cells in the S phase was increasing, and the cells exposed to 50 μg/ml ZnO NPs during the G2 phase increased significantly. The Epoxomicin price same results happened with the cells exposed to 62-nm and 90-nm ZnO NPs. Our results clearly demonstrated that cells treated with ZnO NPs suffer

the transition from G1 to S phase and from S to G2 phase. Once reaching the G2 phase, DNA damage is insufficient. There must be a replication of DNA on the damaged template to offset the toxic effect [22–24] (Table 1). Figure 6 PI fluorescence (DNA content) histograms of Caco-2 cells after exposure to ZnO NPs. (A) Control culture (non-exposed). (B) Cells exposed to 26-nm ZnO NPs at 12.5 μg/ml. (C) Cells exposed to 26-nm Silibinin ZnO NPs at 50 μg/ml. The data are presented as the mean ± SD of three independent experiments. Table 1 PI staining (flow assay) ZnO NP scale (nm) Concentration (μg/ml) The cell cycle (%)     G0/G1 phase S phase G2 phase Control cell 0 94.07 ± 5.13 3 ± 1.03 2.93 ± 1.1 26 nm 12.5 88.43 ± 6.16 6.64 ± 2.3 4.93 ± 3.6 50 77.95 ± 6.83 11.19 ± 3.09 10.87 ± 2.78 62 nm 12.5 91.07 ± 4.1 5.46 ± 1.33 3.47 ± 1.34 50 82.6 ± 3.54 8.95 ± 5.03 8.45 ± 3.14 90 nm 12.5 90.32 ± 6.35 50.5 ± 1.08 4.63 ± 1.44 50 79.26 ± 6.3 11.69 ± 4.24 9.05 ± 2.09 Results are shown as the mean ± SD (n = 3).