Sample sizes were small (between 10 and 50), and the results need

Sample sizes were small (between 10 and 50), and the results need to be interpreted with caution. Detailed results can be found in Supplementary Appendix B, but these are summarized as follows grouped by outcome and then by intervention (garden

Dabrafenib in vivo or horticulture therapy). Seven studies reported on dementia-related behaviors in response to time in a garden or engaged in horticultural activities. Agitation was reported in 6 studies, and other dementia-related outcomes, such as pacing, exit seeking, and violence, were reported less frequently and with mixed results. Only one study reported a negative trend of increased aggression over a 3-month period.20 Three garden studies measured agitation before and after exposure to a garden environment and

all used the Cohen-Mansfield Agitation Inventory (CMAI). All studies reported a positive trend18, 19 and 24 with CMAI scores, indicating reduced agitation associated with visiting the garden (P < .01); for example, Detweiler and colleagues 24 indicate an effect size of d = 0.64. Three studies measured dementia-related behaviors before and after horticultural therapy. 28, 30 and 32 Two studies 30 and 32 used an RCT design and report mixed results on the effectiveness of horticultural therapy in reducing physical and nonphysical Erastin in vivo aggression (also using CMAI). A positive trend was seen in the verbal agitation scores in both studies. Vuolo 28 also found a positive trend in the effect of horticultural therapy on physical and verbal aggression and a reduction in physically nonaggressive behaviors in a pre-post study of 50 residents with dementia, but the positive Histidine ammonia-lyase changes were not statistically significant ( Supplementary Appendix B). Pacing or walking behaviors (including exit seeking and trespassing) were measured in 2 studies by observation.19 and 20 Both studies showed a positive trend in reduced pacing, trespassing, and exit seeking,

but also a decrease in walking (directed walking), which may be seen as a negative trend. Mooney and Lenore Nicell21 compared behaviors in 5 residential sites, 2 of which had gardens and 3 of which did not. Substantial differences between the residential sites with and without gardens were noted, with the rate of violence decreasing by 19% in the garden sites and increasing sevenfold in the nongarden sites over 1 year of observation. Similarly, the total rate of incidents decreased by 3.5% in the garden sites and increased threefold in the nongarden sites over the same period. However, it is difficult to know if these differences relate directly to the impact of the garden or if they are due to other aspects of the individual residential sites. In 2 studies,19 and 31 emotional outcomes, including pleasure, anxiety, interest, anger, sadness, and contentment, were measured by trained researchers using the Affect Rating Scale.

A shows the number of EMVs (× 108/ml) as determined by NTA, and B

A shows the number of EMVs (× 108/ml) as determined by NTA, and B compares the protein concentration (mg/ml) of EMVs derived from 143B (bEMVs) versus HOS (hEMVs) osteosarcoma cells. Supplementary data to this article can be found online at http://dx.doi.org/10.1016/j.tranon.2014.04.011. We thank Clarke Anderson for his discussions and PD-1/PD-L1 assay expert advice on EMVs. We thank Shrikant Anant for access to ultracentrifuge for isolation of EMVs

and helpful suggestions, Lane Christenson and Peggy Petroff for allowing us to use the NanoSight equipment for NTA, Jeremy Chien for access to the ChemiDoc MP system, Marsha Danley for helping with IHC, Barbara Fegley for assistance with the electron microscopy at the Electron Microscopy Research Laboratory, which is supported, in part, by funds from NIH Centers of Biomedical Research Excellence (COBRE) grant 9P20GM104936 and NIH grant S10RR027564. We thank Lynda

Bonewald and Sarah Dallas (University of Missouri-Kansas City) for helpful discussions. We thank Van Veldhuizen, Sullivan, and Perez for their support. “
“Lung cancer is the leading cause of cancer-related death worldwide [1]. Non-small cell lung cancer (NSCLC) comprises approximately 85% of all lung cancer cases, of which more than 70% are initially diagnosed with unresectable advanced disease [2] and [3]. Systemic treatment, including molecular-targeted therapy, plays a central role in the clinical management Galunisertib of NSCLC. Small-molecule tyrosine kinase inhibitors (TKIs), such as gefitinib and erlotinib, specifically target epidermal growth factor receptor (EGFR) and generate much optimism in the treatment of NSCLC. EGFR mutations have been demonstrated to be the strongest predictive biomarkers for the efficacy of EGFR-TKIs [4], [5], [6], [7] and [8]. Patients with EGFR activating mutations, mainly in-frame deletions in exon 19 (19Del) and L858R substitutions in exon 21, have dramatic tumor responses and favorable survival benefit from EGFR-TKIs

[9] and [10]. However, most responsive patients would eventually experience progressive Thalidomide disease (PD). The secondary T790M mutation in exon 20 accounts for approximately 50% of the mechanism of acquired resistance [11]. Hence, it is of great clinical importance to analyze and track EGFR mutation status for predicting efficacy and monitoring resistance throughout EGFR-TKIs treatment in NSCLC patients. EGFR mutation analysis is recommended in National Comprehensive Cancer Network clinical guidelines for NSCLC. Nevertheless, a national survey shows that only 9.6% of NSCLC patients with stage IIIb or IV disease had EGFR-related testing performed in China [12]. Partially because tumor tissue, the optimal DNA source for EGFR mutation analysis, is always difficult to obtain.

) were added to each tube followed by 10 s agitation Thirty min

) were added to each tube followed by 10 s agitation. Thirty min later, three 100 μL aliquots of each tube were transferred to a 96-well plate and the absorbance of the test and blank tubes was measured at 655 nm wavelength with the ELISA plate reader (Thermo Plate). Total protein production was calculated from a standard curve created using known protein concentrations. Analysis of ALP activity was performed using the colorimetric endpoint assay (ALP Kit; Labtest Diagnóstico S.A.,

Lagoa Santa, MG, PR-171 cell line Brazil) employed in previous studies.20 This test uses a thymolphthalein monophosphate substrate, which is a phosphoric acid ester substrate. ALP hydrolyzes the thymolphthalein monophosphate substrate, releasing thymolphthalein. Therefore, it is possible to measure directly the product

of hydrolysis, altering the pH. The altered pH interrupts Panobinostat supplier the enzymatic activity and provides bluish colour to the solution, which is characteristic of the reaction. The intensity of the resulting colour is directly proportional to the enzymatic activity and is analyzed spectrophotometrically. After 24 h incubation of the cells in contact with DMEM alone (control group) or containing the two ZOL concentrations (experimental groups), the culture medium with ZOL was aspirated and the cells were washed three times with 1 mL PBS at 37 °C. An amount of 1 mL of 0.1% sodium lauryl sulphate (Sigma Aldrich Corp.) were added to each well and maintained for 40 min at room temperature to produce cell lysis. The test was performed according to the instructions of the Kit’s manufacturer. The absorbance of the samples was measured at 590 nm wavelength with a spectrophotometer (Thermo Plate). ALP activity was calculated by a standard curve using known concentrations of the enzyme. SEM

analysis was used to identify possible morphological alterations caused by the addition of different concentrations of ZOL to DMEM culture medium in which the MDPC-23 cells were cultured. The following protocol used in previous Tenoxicam studies was employed.20 and 21 Sterile 13-mm-diameter cover glasses (Fisher Scientific, Pittsburgh, PA, USA) were sterilized in 70% ethanol for 24 h and placed on the bottom of the wells immediately before seeding the cells. After 24 h of incubation of the cells in contact with DMEM alone (control group) or containing the two ZOL concentrations (experimental groups), the culture medium with ZOL was aspirated and the cells were fixed in 1 mL of 2.5% glutaraldehyde in PBS for 1 h. Then, the glutaraldehyde was removed and the cells were washed with PBS and post-fixed with 1% osmium tetroxide for 1 h at room temperature.

” (Project Manager D) ICT systems were sometimes visible in proj

” (Project Manager D). ICT systems were sometimes visible in projects, in cases where they were used to improve communication with patients (e.g., through websites or providing patients with access to medical records) and to enable patients to track their behavior, health values, and progress. In summary, although practices used different strategies, our interviews with project managers confirmed that the projects used the DMPs to “offer more.” They changed the nature of conversations with patients in individual and group settings, and improved patient

tracking through ICT systems. They also ventured beyond the medical practice into the community to address health behavior changes more comprehensively. Overall, selleck chemicals llc both the quantitative and qualitative Cilengitide in vivo results showed that DMP implementation improved patients’ health behavior. These findings are in line with those of Hung and colleagues [33], who found that interventions

such as DMPs based on the CCM offer a useful framework for preventive purposes by addressing important risky health behaviors. The percentages of patient participants meeting the Dutch standard for healthy physical activity (63.7% in 2010, 68.5% in 2011) were higher than the average percentages in the general adult (18+ years) Dutch population (58.1% in 2010, 58.0% in 2011), and reflect a substantial improvement not seen in the general population [34]. The proportion of current smokers (25.0% in 2010 vs. 17.8% in 2011; 7.2% reduction) among chronically much ill patients also decreased substantially. The mean prevalence of smoking in the general Dutch population was 25.6% in 2010 and 2011 [35]. There is evidence from large long-term randomized controlled trials that quality of life of chronically ill patients slowly deteriorates over time, especially in the placebo

groups but sometimes also in the intervention groups [36] and [37]. Although physical quality of life also deteriorated among patients in our study, we expect that improvements in health behavior (physical activity and smoking) will prevent or slow down the deterioration of physical quality of life normally seen in a chronic illness population. Qualitative research indicated many of the aspects of DMPs targeted at improving health behavior are expected to have a longer-term impact on quality of life. In a meta-analysis of interventions based on the CCM to improve care for chronic illnesses Tsai and colleagues [23] found that the evidence on quality of life outcomes was mixed. Condition-specific quality of life scales are known to be more sensitive to changes in clinical status compared to generic measures of quality of life such as the SF-36. However, we have chosen the latter, because the generic quality of life measures can be used in a wide variety of diseases, as was the case in our project.

For calculating the reduction in the power of this radiation as a

For calculating the reduction in the power of this radiation as a result of its passage through the atmosphere we usually use the simplified radiation transfer equation. In Figure 2 we distinguish three stages in the influx of solar radiation to the sea surface, according to which we carry out calculations. In the first stage we define the downward irradiance E↓OA at the top of the atmosphere (block 1 in Figure 2), which is governed directly by the solar radiation flux entering the Earth’s atmosphere. This flux reaching the top of the atmosphere, averaged over time, is known as the Solar Constant (see e.g. Neckel & Labs 1981, Gueymard 2004, Darula et al. 2005); the instantaneous

values of the downward irradiance at the top of the atmosphere E↓OA, associated with the Solar Constant, depend

on the Sun’s position in the sky, and on the distance at the http://www.selleckchem.com/screening/mapk-library.html instant of measuring between the Earth and the Sun in its elliptical orbit around the Sun. These instantaneous values of E↓OA are calculated from basic astronomical formulae (e.g. Spencer 1971; see also Krężel 1985, Dera & Woźniak 2010) on the basis of the geographical coordinates of the measuring station and time (the day number of the year and the time of day). The second stage in these calculations yields the downward irradiance E↓OS of the solar radiation C59 wnt reaching the sea surface from a cloudless sky; here, the influence of clouds on this flux is neglected (Block 2 in Figure 2). What is taken into consideration is the reduction in downward irradiance due to the attenuation of the solar radiation flux on its passage through the atmosphere by scattering and absorption by atmospheric components such as water vapour, ozone and aerosols. These calculations are performed on the basis of more complex models of optical processes taking place in a cloudless atmosphere Edoxaban (see e.g. Bird & Riordan 1986, Krężel 1997, Woźniak et al. 2008). As already mentioned, they take account of the effects of various constant and variable components of the atmosphere on its optical properties, including the variable contents of different

types of atmospheric aerosols. These are responsible for the greatest changes in the transmittance of the radiation flux in the atmosphere with the exception of the effect of clouds on this flux. Finally, the third stage in these calculations involves determining the values of the real downward irradiance at the sea surface E↓S, associated with the solar radiation flux reaching the sea surface under real atmospheric conditions, that is, when the real states of atmospheric cloudiness are taken into consideration (besides the solar zenith angle; Block 3 in Figure 2). Changes in cloud coverage are responsible in the highest degree for changes in the transmittance of the radiation flux through the atmosphere.

According to this definition, dietary fibre includes three catego

According to this definition, dietary fibre includes three categories of edible carbohydrate polymers with ten or more degrees of polymerization (DP) non-hydrolyzed by the human endogenous enzymes in the small intestine. The Codex Alimentarius Commission left to the national authorities the decision on whether also to consider the carbohydrates with 3–9 monomeric Alpelisib concentration units (Codex Alimentarius, 2009). As reported by Howlett et al. (2010), the scientific community agrees in maintaining the inclusion of non-digestible carbohydrates with DP in the range of 3–9 as dietary fibre based on their substantiated beneficial physiological

effects. These short-chain carbohydrates are included in the definitions of dietary fibre currently adopted in Brazil and the E.U. (ANVISA, 2003b and EC, 2008). On the other hand, the possibility of changing or maintaining this item in the resolution proposed to be adopted in Brazil is not mentioned (ANVISA, 2011). According to Turner and Lupton (2011), the U.S. Food and Drug Administration has not yet adopted a definition for dietary fibre and has not stated whether it will include CSF-1R inhibitor carbohydrates with DP from

3 to 9. According to this information, the present study considered the short and long-chain fructans given by Beneo P95 and Beneo HP-Gel ingredients, respectively, for the estimates 5-Fluoracil nmr of TDF and energy of mousses studied, as well as the evaluation of allowed nutrition claims according to the legislations consulted. The energy from macronutrients for the mousses studied is presented in Table 5. The energy value of mousses ranged from 118.08 kcal/100 g (mousse I) up to 151.12 kcal/100 g (control MF). The nutritional differences of modified mousses in comparison with the control mousse

MF are described in Table 6. Mousse I, with 4 g/100 g of inulin, showed a more pronounced reduction in total energy (21.86% less) comparing to control mousse MF and other mousses without the addition of milk cream (WPC and I–WPC). The protein present in whey protein concentrate added in these later mousses provides more energy (4 kcal/g) than inulin (1.5 kcal/g), in the same proportion. Mousse I–WPC was the second in terms of reduction in energy value, with 17.65% when compared to control MF. Mousses WPC, MF–I and MF–I–WPC showed intermediate reduction in energy value, respectively, 12.68%, 11.35%, and 12.83%. The energy value of mousse MF–WPC reduced less compared to the control (3.95%), due to the lower reduction in fat content (Table 3). Considering their absolute energy content, none of these products could be termed “low energy” or “low calorie” according to the Brazilian, E.U., and U.S.

It should also be noted that to effectively implement controls on

It should also be noted that to effectively implement controls on the total number

Forskolin supplier of FADs fished on or deployed it would be necessary to ensure compliance with effort limits using measures such as closed circuit television or on-board observers. In the past two decades the use of FADs has reshaped the dynamics of purse seine fleets, particularly in the Indian Ocean. The improved catch levels made possible by this fishing practice facilitated a rapid growth of the fishery, and the subsequent development of the fleet, in particular the Spanish component, has largely been based around the use of FADs. Thus, with the use of FADs being increasingly vital to the fishing operations of many vessels, their use is not expected to decline under a business-as-usual scenario, potentially rekindling the excess capacity observed in

the fishery in the past [36]. However, any increase in the use of FADs would not necessarily mean a uniform increase in fishing effort throughout the western Indian Ocean, but rather increased intensity of effort in the main FAD fishing regions. The fishery and ecological effects of such a change in the spatial dynamics of effort are not well understood, although recent modelling work suggests that an increase in the number of FADs in a region would probably signaling pathway result in smaller schools distributed between greater number of objects. Thus search costs and bycatch might increase, rather than catches [44]. A number of external pressures might also be expected to change the face of FAD fishing in the future, although conflicting pressures have the potential to push the industry in different directions. Purse seine fishing has become an increasingly expensive operation over the past decade, particularly for the largest and most powerful vessels, due to rising fuel prices and increased fishing effort [3]. This has reduced profit margins and potentially increased the fisheries’ economic vulnerability to poor fishing seasons Glycogen branching enzyme and environmental or economic shocks. Given

the past trends it might be reasonable to assume that this situation would provoke an even stronger reliance on FADs, especially for those vessels that still target a relatively large proportion of free schools. Again, this might result in the saturation of the FAD fishery, potentially leading to increased costs, lower catches but high total extraction rates. In contrast, market pressures might result in reduced effort on FADs. The majority of the skipjack caught in the Indian Ocean purse seine fishery is of canning grade and destined for markets in the European Community countries [32]. Here consumer pressure for sustainably sourced fish is strong and seafood certification schemes, such as that of the Marine Stewardship Council (MSC), are popular [45].

After addition of water, the samples

were packed in polye

After addition of water, the samples

were packed in polyethylene bags and refrigerated for 24 h for homogenization. To adjust the moisture content of the samples to 10 and 12 g/100 g on a dry basis, drying was performed at 70 °C for approximately 60 and 30 min, respectively. The moisture content of the corn grits after adjustment to the desired values was then determined by drying at 105 °C (AOAC, 1997). Each volatile compound was added at proportion of 1.5 g/100 g to the corn grits, as described by Conti-Silva et al. (2012). The volatiles were added by volume, based on the density of the compounds. Therefore, 7.53, 6.83 and 6.26 mL of isovaleraldehyde, ethyl butyrate and butyric

acid, respectively, were added to 400 g of corn grits to each extrusion conditions. Sample homogenization was performed manually in the packaging and then the packages were sealed and kept at room temperature GPCR Compound Library for 2 h before extrusion. The flavored corn grits were extruded in a single screw extruder (LAB 20, AX Plásticos, Diadema, Brazil) with four independent heating zones. The first and second zones were maintained at 50 and 90 °C, respectively; the third zone was adjusted according to the experimental design (Table 1); and the fourth zone was adjusted to 10 °C below the temperature of zone 3. The length/diameter ratio of the barrel was 26:1, and the screw used had a compression ratio of 4.6:1. The die diameter was 3.3 mm Selleckchem MK1775 and feed rate was kept constant at

46 g min−1. The expansion ratio was determined from 15 random measurements on the diameter of the extrudates using digital calipers (Digimess IP54), in accordance with the following equation: expansion ratio = mean diameter of the extrudates/die diameter. The density was determined from 15 random measurements on the diameter (D, cm) and length (L, cm) of the extrudates using digital calipers (Digimess IP54), and the weight Farnesyltransferase (W, g) was determined on an analytical balance. The density (g cm−3) was obtained from the following equation: ρ = 4W/πD2L ( Chávez-Jáuregui, Silva, & Arêas, 2000). The force required to completely break the extrudates was determined using the TAXT2i equipment (Stable Micro Systems, Godalming, Inglaterra) and the “Texture Expert” software (Stable Micro Systems, Godalming, Inglaterra), using a probe with a knife blade set. Ten samples of approximately 5 cm in length were cut perpendicularly by the probe and the peak maximum force required was taken to be the cutting force of the extrudate. Two grams of milled extrudate were added to vials (duplicates for each extrusion condition), and the volatile compounds present in the extrudates were captured using an automated headspace sampler (40 HStrap, Perkin Elmer, Shelton, USA).

To detect blinks and vertical eye movements, an electrooculogram

To detect blinks and vertical eye movements, an electrooculogram (EOG) was monitored by one electrode under and one electrode above the right eye. The ground electrode was placed at FP1. EEG data

were acquired with a sampling rate of 1000 Hz. Impedances were kept below 5 kOhm. The left mastoid served as the reference electrode online, but the recording was re-referenced to Nintedanib clinical trial bilateral mastoids offline. For ERP data analysis, Brain Vision Analyzer software (version 2.0.2; Brain Products, Gilching, Germany) was used. EEG raw data were filtered by applying the Butterworth zero phase filter (low cutoff: 0.3 Hz; high cutoff: 70 Hz; slope: 12 dB/oct) to exclude slow signal drifts and muscle artifacts, and a notch filter of 50 Hz. Artifacts caused by vertical eye movements were corrected by the algorithm of Gratton, Coles, and Donchin (1983). An automatic artifact rejection was used to reject blinks and drifts in the time window of −200 to 1500 ms relative to the onset of the critical stimuli in the target sentence: first determiner phrase (DP1), verb (V) and second determiner phrase (DP2) (rejection criteria: max.

voltage step of 30 μV/ms, max. 200 μV difference of values in interval, lowest activity of 0.5 μV in intervals). Relative to the onset of DP1, V, and DP2, on average 5.71% of trials were rejected with an equal distribution across onsets of critical stimuli and experimental conditions [F(2, 36), p > .1]. ERPs were averaged for each participant and each condition within a 1500 ms time window time-locked to the onset of the critical stimuli with a 200 ms pre-stimulus onset baseline. Based on visual inspection of the ERPs and according to the literature on buy Tyrosine Kinase Inhibitor Library language-related ERP components (i.e., P200, N400, late positivity), mean amplitude values of the ERPs per condition were

statistically analyzed in the time windows 100–300 ms (P200), 300–500 ms (N400) and 500–700 ms O-methylated flavonoid (late positivity). The following nine regions of interest (ROIs) were computed via mean amplitudes of the three corresponding electrodes: left frontal (F7, F5, F3), left fronto-central (FC3, C5, C3), left centro-parietal (CP5, P3, P7), right frontal (F8, F6, F4), right fronto-central (FC4, C6, C4), right centro-parietal (CP6, P4, P8), frontal-midline (FPz, AFz, Fz), central midline (FCz, Cz, CPz), parietal midline (Pz, POz, Oz). The statistical ERP analysis followed a hierarchical schema (e.g., Bornkessel et al., 2003 and Rossi et al., 2011) using IBM SPSS Statistics (version 21.0). Firstly, a fully crossed repeated measures analysis of variance (ANOVA) with the factors CONTEXT TYPE (TOPIC, NEUTRAL), WORD ORDER (SO, OS), and ROI (nine levels) was computed separately for the three time windows post onset DP1, V, and DP2. We applied the correction of Greenhouse and Geisser (1959) and report the corrected F- and p-values but with the original degrees of freedom. Only statistically significant (p ⩽ .05) and marginally significant (p ⩽ .

Four different M13 phage libraries expressing 15-mer (X15), 30-me

Four different M13 phage libraries expressing 15-mer (X15), 30-mer (X30), 17-mer including a fixed cysteine residue (X8CX8), and 12-mer see more peptides including two fixed cysteine residues (XCX8CX) were employed [40]. Biopannings were performed as described previously [40] with some modifications. Briefly, 96-well microtiter plates (Becton Dickinson, Oxnard, CA) were incubated overnight at 4 °C with 100 μl LmmAbB2D4 at 5 μg/ml for the first two biopannings and 0.5 μg/ml for the last one, in 0.1 M NaHCO3, pH 8.6. The plates were then washed

with 0.05% Tween 20 in 50 mM Tris-buffered saline, pH 7.5 (TBS-T) and blocked with 3% BSA in TBS-T at 37 °C for 2 h. For the first biopanning, 1.5 × 1011 transducing units (TU) of phages expressing linear 15-mer (X15), 17-mer (X8CX8) and 30-mer (X30) peptides and 2.5 × 1010 TU of phages expressing constrained 12-mer (XCX8CX) peptides were incubated in TBS-T with

the immobilized LmmAbB2D4 overnight at 4 °C. Unbound phages were removed by washing with TBS-T. Bound phages were eluted with 0.1 M glycine, 1 mg/ml bovine serum albumin (pH 2.2) and neutralized with 2 M Tris–HCl, pH 9.0. Escherichia coli K91 cells were infected with the eluted phages and grown overnight at 37 °C. Phage particles were precipitated with 20% PEG 8000, 2.5 M NaCl overnight on ice, resuspended in 0.05 M Tris–HCl, 0.15 M NaCl, pH 7.5 and used for the next round of biopanning (2 × 1011 TU). After three rounds, phage clones were isolated JNJ-26481585 chemical structure and submitted to screening ELISA. Microtiter plate wells (Falcon) were coated with 100 μl sheep anti-M13 polyclonal antibody (10 μg/ml) in

0.1 M NaHCO3, pH 8.6, overnight at 4 °C. Plates were washed with 0.1% Tween 20-PBS (PBS-T) and blocked with 2% non-fat dry milk in PBS-T for 1 h at 37 °C. The wells were washed, and phages, diluted 1:1 in PBS-T, were incubated for 90 min at 37 °C. Phages able to bind LmmAbB2D4 at 10 μg/ml were detected by a horseradish peroxidise (HRP)-conjugated rabbit anti-mouse antibody (Sigma, St. Louis, MO, USA). The clones selected by LmmAbB2D4 Tacrolimus (FK506) were used in a new ELISA plate configuration to verify their reactivity with the monoclonal antibody. Plates were sensitized with 5 μg/ml LmmAbB2D4 in coating buffer, washed and blocked as described previously and incubated with phages at 1 × 1011 to 1 × 106 pfu/ml diluted in 0.05% Tween 20-PBS for 2 h at 37 °C. Binding was detected using a HRP-conjugated anti-M13 antibody (Sigma) diluted 1:3000 in blocking buffer. The single-stranded DNA was purified using the QIAprep Spin M13 protocol (Qiagen). Sequencing reactions were carried out according to the dideoxy chain termination method using the ABI Prism Kit using the ABI PRISM 377 (both from PE Applied Biosystems). The reverse primer 5′-TCGGCAAGCTCTTTTAGG-3′ was used for sequencing. The sequences obtained were translated and seventeen dodecapeptides corresponding to the XCX8CX library were identified.