Also, some of the individually identified correlations confirmed

Also, some of the individually identified correlations confirmed findings of other research groups [7]. AT-genotypes were clustered according to their genetic similarity, using the eBURST algorithm on the 14 AT-markers designed for genotyping (13 SNPs and fliCa/fliCb) [15]. By excluding the exoU and exoS markers, 3 clones

collapsed into others, precisely clones F468 into F469 and EC28, EC29 into EC2A (see Figure 3). Figure 3 Cluster of AT-clones identified within the 124 independent isolates of our P.aeruginosa collection. Cluster of clones were identified by using the eBURST algorithm performed on 13 SNPs plus the multiallelic fliCa/fliCb gene. The colour code indicates for each genotype the % of isolates

associated to CF patients, patients from the intensive care unit (ICU) or other selleck inhibitor hospital units (OTHERS). Novel clones (not described in other studies) are highlighted by a rectangular box. Focusing on chronic associated isolates, the 4B9A AT-genotype belonged to the largest AT clonal complex and correlated to chronic infections, being 88.9% of its isolates collected from CF patients (see Figure 2), in contradiction with other collections in which this AT-genotype was described within keratitis, environmental and COPD samples [14, 15, 17]. As for the 4B9A AT-genotype, EC2A, known as CHA strain [7], was also mostly associated to the CF patient cohort (see Figure 2). The identified correlation is supported by previous studies and the mechanism of action of strains with this AT-genotype on human blood cells has been already elucidated C59 wnt [22]. 3C2A was exclusively CF-associated, but it has been previously described as a frequent AT-type both in CF and non-CF patients [7]. Among the multi-isolate AT-genotypes, only one novel one(i.e. 0C2E) out of 3 novel genotypes was identified also in CF patients, although in 50% of the cases only. An investigation Non-specific serine/threonine protein kinase on co-infections events, taking in account the 124-independent isolates collection, revealed that almost 40% of

our CF patients were colonized by more than one AT-genotype, among which the most frequent were again 4B9A and EC2A but also the 2C22 AT-types (see Figure 4). Interestingly, isolates typed as 4B9A and EC2A, when present, were always co-colonizers (i.e. patients P11, P12, P13). According to the eBURST analysis shown in Figure 3, these two AT-genotypes showed low SNP-profile similarity and were classified as unrelated by the eBURST analysis of our collection being part of different cluster of clones. Looking at the accessory-genome markers, the isolates with 4B9A and EC2A AT-type presented an identical pattern of virulence genes/gene islands (see Additional file 1). Among the 5 patients infected by more than one AT-genotype, only an individual patient (P12) was co-infected by two strains from the same cluster of clones, with EC2A and 2C22 AT-genotype.

As shown in Figure 3A, the PDK1 promoter contains multiple transc

As shown in Figure 3A, the PDK1 promoter contains multiple transcription factor binding sites including c-myc, nuclear factor-κB (NF-κB), p53, among others. We found that NSCLC cells PF-02341066 cost transfected with wild-type PDK1 promoter-luciferase reporter construct showed decreased activity when exposed to NAC and fenofibrate (Figure 3B). GW7461 blocked the inhibitory effect of NAC and fenofibrate on PDK1 promoter activity suggesting a PPARα-dependent signaling in this process (Figure 3C). Figure 3 NAC induces PDK1 promoter activity via PPARα. A, The human PDK1 wild type promoter construct schematic is presented. These

regions contain several transcription factor binding sites including c-myc, NF-κB, p53, among others. B, A549 Ivacaftor and H1792 cells (1 × 105 cells) were cotransfected with a wild type PDK1 promoter construct (shown in A) ligated to a luciferase reporter gene and an internal control phRL-TK Renilla Luciferase Vector for 24 h using the oligofectamine reagent (Invitrogen) according to the manufacturer’s instructions. After 24 h of incubation, cells were treated with NAC (5 mM) and Fenofibrate (10 μM) for an additional 24 h. C, A549 (1 × 105 cells) were cotransfected with a wild

type PDK1 promoter construct ligated to a luciferase reporter gene and an internal control phRL-TK Renilla Luciferase Vector for 24 h using the oligofectamine reagent. After 24 h of incubation, cells were treated with GW6470 (20 μM) for 2 h, followed by NAC (5 mM) and Fenofibrate (10 μM) for an additional 24 h. Afterwards, the ratio of firefly luciferase to renilla luciferase activity was quantified. NAC

induces p53 and reduces p63 protein expression through activation of PPARα; silencing of p53 and overexpression of p65 diminish the effect of NAC on PDK1 protein expression In addition, we found that NAC increased protein expression of p53, a tumor suppressor (Figure 4A), while reducing NF-κB subunit, p65 protein expression in a dose-dependent manner (Figure 4B). Note that NAC had no effect on p50 protein (Figure 4B). Interestingly, GW7461 blocked the effect of NAC on p53 and p63 protein expression (Figure 4C). Furthermore, silencing of p53 or overexpression of p65 abrogated RAS p21 protein activator 1 the effects of NAC on PDK1 promoter activity (Figure 5A-B) and protein expression (Figure 5C-D). Figure 4 NAC induces p53 and reduces p63 protein expression through activation of PPARα. A-B, Cellular protein was isolated from A549 cells cultured with NAC (5 mM) for 24 h, followed by Western blot analysis with antibodies against p53, p50 and p65 proteins. C, A549 cells were treated with GW6470 (20 μM) for 2 h before exposure of the cells to NAC (5 mM) for an additional 24 h. Afterwards, Western blot analysis was performed using polyclonal antibodies against p53 and p65 protein. The bar graphs represent the mean ± SD of p53 or p65/GAPDH of at least three independent experiments.

One hundred parameter initiation values ranging from 5 to 105 wer

One hundred parameter initiation values ranging from 5 to 105 were tested and the best converging model with the smallest Sum Square of Error (SSE) was chosen for estimation of doubling time. Acknowledgements We thank Dr. C. Szekeres and Dr. R. Chen at USF Health core facilities for help with flow cytometry and statistical analyses, respectively. We thank B. White, B. Wisler and Y. Xi at the University of Notre Dame for their technical

assistance. This work was supported by grants from the National Institute of Allergy and Infectious Diseases to J.H.A. Electronic supplementary material Additional file 1:List of piggyBac insertion loci in the P. falciparum genome. Complete check details list ofpiggyBacinsertion loci identified thus far is provided along with the mutant name and insertion position relative to the coding sequences of the genome. (XLS 33 KB) Additional file 2:Best-fit growth curve models for doubling time estimation of mutant clones. The predicted best-fit and observed growth curves for each parasite clone is shown. (PDF 201 KB) Additional file 3:Lack of gene expression in mutant P. falciparum clones with insertions in the coding sequences. RT-PCR analysis confirms the knockout of gene

expression in mutant clones, selected for growth assays, with insertions in coding sequences. (PDF 157 KB) References 1. Snow RW, Guerra CA, Noor AM, Myint HY, Hay SI:The global distribution of clinical episodes of Plasmodium falciparum malaria. Nature2005,434(7030):214–217.CrossRefPubMed 2. Yamey G:Roll Back Malaria: see more a failing global health campaign. Bmj2004,328(7448):1086–1087.CrossRefPubMed 3. Le Roch KG, Zhou Y, Blair PL, Grainger M, Moch JK, Haynes JD, De La Vega P, Holder Evodiamine AA, Batalov S, Carucci DJ,et al.:Discovery of gene function by expression profiling of the malaria parasite life cycle. Science2003,301(5639):1503–1508.CrossRefPubMed 4. Bozdech

Z, Llinas M, Pulliam BL, Wong ED, Zhu J, DeRisi JL:The Transcriptome of the Intraerythrocytic Developmental Cycle of Plasmodium falciparum.PLoS Biol2003,1(1):5.CrossRef 5. Florens L, Washburn MP, Raine JD, Anthony RM, Grainger M, Haynes JD, Moch JK, Muster N, Sacci JB, Tabb DL,et al.:A proteomic view of the Plasmodium falciparum life cycle. Nature2002,419(6906):520–526.CrossRefPubMed 6. Lasonder E, Ishihama Y, Andersen JS, Vermunt AM, Pain A, Sauerwein RW, Eling WM, Hall N, Waters AP, Stunnenberg HG,et al.:Analysis of the Plasmodium falciparum proteome by high-accuracy mass spectrometry. Nature2002,419(6906):537–542.CrossRefPubMed 7. LaCount DJ, Vignali M, Chettier R, Phansalkar A, Bell R, Hesselberth JR, Schoenfeld LW, Ota I, Sahasrabudhe S, Kurschner C,et al.:A protein interaction network of the malaria parasite Plasmodium falciparum.Nature2005,438(7064):103–107.CrossRefPubMed 8. Date SV, Stoeckert CJ Jr:Computational modeling of the Plasmodium falciparum interactome reveals protein function on a genome-wide scale. Genome Res2006,16(4):542–549.CrossRefPubMed 9.

J Raman Spectrosc 2011, 42:12–20 CrossRef 31 Chung AJ, Huh YS, E

J Raman Spectrosc 2011, 42:12–20.CrossRef 31. Chung AJ, Huh YS, Erickson D: Large area flexible SERS active substrates using engineered Everolimus mw nanostructures. Nanoscale 2011, 3:2903–2908.CrossRef 32. Dickey MD, Weiss EA, Smythe EJ, Chiechi RC, Capasso F, Whitesides GM: Fabrication of arrays of metal and metal oxide nanotubes by shadow evaporation. ACS Nano 2008, 2:800–808.CrossRef 33. Giallongo G, Durante C, Pilot R, Garoli D, Bozio R, Romanato F, Gennaro A, Rizzi GA, Granozzi G: Growth and optical properties of silver nanostructures obtained on connected anodic aluminum oxide templates. Nanotechnology 2012, 23:325604.CrossRef 34. Huang C-H, Lin H-Y, Chen S, Liu C-Y, Chui H-C, Tzeng

Y: Electrochemically fabricated self-aligned 2-D silver/alumina arrays as reliable SERS

sensors. Opt Express 2011, 19:11441–11450.CrossRef 35. Huang Z, Meng G, Huang Q, Chen B, Zhu C, Zhang Z: Large-area Ag nanorod array substrates for SERS: AAO template-assisted fabrication, functionalization, and application in detection PCBs. J Raman Spectrosc 2013, 44:240–246.CrossRef 36. Ruan C, Eres G, Wang W, Zhang Z, Gu B: Controlled fabrication of nanopillar arrays as active substrates for surface-enhanced Raman spectroscopy. Langmuir 2007, 23:5757–5760.CrossRef 37. buy GPCR Compound Library Prokes SM, Alexson DA, Glembocki OJ, Park HD, Rendell RW: Effect of crossing geometry on the plasmonic behavior of dielectric core/metal sheath nanowires. Appl Phys Lett 2009, 94:093105.CrossRef 38. Prokes SM, Glembocki OJ, Rendell RW, Ancona MG: Enhanced plasmon coupling in crossed dielectric/metal nanowire composite geometries and applications to surface-enhanced Raman spectroscopy. Appl Phys Lett 2007, 90:093105.CrossRef 39. Tao A, Kim F, Hess C, Goldberger J, He RR, Sun YG, Xia YN, Yang PD: Langmuir-Blodgett silver nanowire monolayers for molecular sensing using surface-enhanced Raman spectroscopy. Nano Lett 2003, 3:1229–1233.CrossRef 40. Tian

C, Ding C, Liu S, Yang S, Song X, Ding B, Li Z, Fang J: Nanoparticle attachment on Selleck Cetuximab silver corrugated-wire nanoantenna for large increases of surface-enhanced Raman scattering. ACS Nano 2011, 5:9442–9449.CrossRef 41. Feng M, Zhang M, Song J-M, Li X-G, Yu S-H: Ultralong silver trimolybdate nanowires: synthesis, phase transformation, stability, and their photocatalytic, optical, and electrical properties. ACS Nano 2011, 5:6726–6735.CrossRef 42. Qi J, Li Y, Yang M, Wu Q, Chen Z, Wang W, Lu W, Yu X, Xu J, Sun Q: Large-area high-performance SERS substrates with deep controllable sub-10-nm gap structure fabricated by depositing Au film on the cicada wing. Nanoscale Res Lett 2013, 8:437.CrossRef Competing interests The authors declare that they have no competing interests. Authors’ contributions QJ conceived of the study, carried out the fabrication of the SERS substrates, the measurement and analysis, the simulation, and drafted the manuscript. LY (Yudong) participated in the SERS spectra analysis and discussion.

Goldberg Department of Chemistry, University of New Orleans, New

Goldberg Department of Chemistry, University of New Orleans, New Orleans, Louisiana 70119, USA A rectangular glass tank, containing water and sand arranged to represent a large lake or sea surrounded by gently sloping beaches, was built to model the enantiomeric enrichment process suggested earlier [S. I. Goldberg (2007), Orig. Life Evol. Biosph., 31, 55–60]. The “sea” is a dilute aqueous solution of a chiral, nonracemic compound with initially low (10%) enantiomeric excess, which, through the action of evaporative pumping [K. J. Hsu and

C. Siegenthaler (1969), Sedimentology, 12, 11–25], is brought to the surface of the beach by the energy supplied by a heat lamp (the sun) and evaporated—providing crystals enriched in the more abundant enantiomer, (Goldberg, 2007). These are washed down the sloping beach into the “sea” by an aqueous spray (rain). In this way, the enantiomeric Ibrutinib mw purity of buy Y-27632 the compound in the “sea” was slowly but continually raised from 10% to 36% e.e. (so far) after 19 weeks of operation. E-mail: [email protected]​edu Amino Acids and

the Asymmetric Origin of Life Uwe J. Meierhenrich1, Jean-Jacques Filippi1, Katharina Breme1, Rodolphe Perriot1, Laurent Nahon2, Jan Hendrik Bredehöft3, Jun-ichi Takahashi4, Wolfram H.-P. Thiemann5, Soeren V. Hoffmann6 1University of Nice-Sophia Antipolis, CNRS UMR 6001, avenue Valrose, 06108 Nice, France; 2Synchrotron SOLEIL, l’Orme des Merisiers, St Aubin, BP48, 91192 Gif sur Yvette, France; 3Open University, PO Box 197, Milton Keynes, MK7 6BJ, United Kingdom; 4NTT Microsystem Integration Laboratories, 3-1, Morinosato Wakamiya, Atsugi 243-0198, Japan; 5University of Bremen, Dept. of Physical Chemistry, Leobener Straβe, 28359 Bremen, Germany; 6University of Aarhus, Institute for Storage Ring Facilities, Cyclic nucleotide phosphodiesterase Ny Munkegade, 8000 Aarhus C, Denmark Amino acids, the molecular building blocks of proteins (enzymes), certainly played a key role in both the emergence of life on Earth and the development of biomolecular asymmetry,

i.e. homochirality. We experimentally simulated the abiotic formation of amino acids and diamino acids in interstellar ices by the effect of UV irradiation on CO, CO2, CH3OH, NH3, as well as H2O and identified 16 amino acids among the remaining products (Muñoz Caro et al. 2002; Meierhenrich, 2008). The presence of diamino acids in the Murchison meteorite verified the above simulation experiment (Meierhenrich et al. 2004). The identified amino acids were racemic, since the experiment was performed under symmetric conditions: the photoreaction was performed with unpolarized light, directed magnetic fields were not applied, an achiral crystal was used as support etc. However, interstellar electromagnetic radiation is asymmetric, namely circularly polarized. Here we report on enantioselective photolysis of chiral amino acids under interstellar conditions.

J Int Society of Sports Nutr 2011, 8:9 CrossRef 32 Borg

J Int Society of Sports Nutr 2011, 8:9.CrossRef 32. Borg

G: Borg’s perceived exertion and pain scales. IL: Human Kinetics, Champaign; 1998. 33. Watt KK, Hopkins WG, Snow RJ: Reliability of performance in repeated sprint cycling HIF inhibitor tests. J Sci Med Sport 2002, 5:354–361.PubMedCrossRef 34. Rodriguez NR, Dimarco NM, Langley S: Position of the American Dietetic Association, Dietitians of Canada, and the American College of Sports Medicine: Nutrition and athletic performance. J Am Diet Assoc 2009, 109:509–527.PubMedCrossRef 35. Frank GK, Oberndorfer TA, Simmons AN, Paulus MP, Fudge JL, Yang TT, Kaye WH: Sucrose activates human taste pathways differently from artificial sweetener. NeuroImage 2008, 39:1559–1569.PubMedCrossRef 36. Clark VR, Hopkins WG, Hawley JA, Burke LM: C646 chemical structure Placebo effect of carbohydrate feedings during a 40-km cycling time trial. Med Sci Sports Exerc 2000, 32:1642–1647.PubMed 37. O’Neal EK, Wingo JE, Richardson MT, Leeper JD, Neggers YH, Bishop PA: Half-Marathon and Full-Marathon Runners’ Hydration Practices and Perceptions. J Athl Train 2011, 46:581–591.PubMed Competing interests Equipment and beverages used in this investigation were prepared and provided by The Coca-Cola Co. Financial compensation was also awarded to the subjects for their participation and investigators EO and PB for designing, directing,

collecting data and writing this manuscript. SP is employed by The Coca-Cola Co. Authors’ contributions EKO developed the study design, collected data, conducted statistical analysis, and drafted and submitted the manuscript. PAB, SPP, JEW, and MTR assisted in the study design, interpretation of data, and critically reviewed the manuscript. All authors read and approved the final manuscript.”
“Background Flavonoids are a large family of phenolic

compounds or polyphenols with wide therapeutic applications [1]. Quercetin is one of the most widely spread naturally occurring flavonoids, found in onions, garlic, cabbage, leek, broccoli, apples, blueberries, tea and red wine [2]. It is known that quercetin may exhibit anti-oxidant properties due to its chemical structure, particularly the presence and location of the hydroxyl (-OH) substitutions [3]. Despite the fact that after long-term intake Methocarbamol there is a wide distribution of quercetin (including its metabolites) in all tissues [4], toxic effects have not been reported until the dose reached 157 mg per kg/d [5]. Quercetin might improve endurance performance since it is known that some polyphenols like quercetin [6] and resveratrol [7] improve aerobic capacity of skeletal muscle by promoting mitochondrial biogenesis in mice. A psychostimulant effect of quercetin has also been reported in vitro [8] in a manner similar to that of caffeine [9], but this effect was not found in human subjects [10].

They have demonstrated

a high diversity of polymorphism b

They have demonstrated

a high diversity of polymorphism between these subspecies. To survive, colonize and cause disease, plant-pathogenic bacteria modulate expression of their genes often using two-component signal transduction systems (TCS). These systems typically consist of two conserved components, a sensor histidine kinase and a response regulator [12]. P. carotovorum subsp. carotovorum employs different two-component systems for controlling production of virulence determinants [13–16]. PmrA-PmrB is one example of TCS for plant pathogenic bacteria, which affects production of extracellular enzymes, virulence and bacterial survival in potato tubers as well as in Arabidopsis leaves and generally in planta[17]. Belnacasan concentration The main target genes of this TCS encode products with sequence similarity to DNA binding response regulators and autophosphorylatable histidine Tanespimycin manufacturer kinases. The pmrA locus is required for resistance to the cationic peptide antibiotic polymyxin B and to other plant-derived antimicrobial peptides in

Pectobacterium. It controls the production of proteins that mediate the modification of the lipopolysaccharide (LPS) core and lipid A [17–19]. The changes in LPS structure leads to reduction of the negative charges at cell surface and hence altered interactions with iron and cationic peptides [20]. This gene was found in almost all Enterobacteriaceae[20]. In P. carotovorum subsp. carotovorum, pmrA gene encodes a protein of 222 amino acid (aa) that reveals 59.7% of identity to pmrA of Salmonella and BasR of E. coli. Its inactivation in P. carotovorum

subsp. carotovorum does not reduce the maceration ability of the bacterium on potato tuber but nevertheless remains essential for survival under adverse environmental conditions [16, 20, 21]. Phylogenies built with single genes have been used already to examine the relationships of the plant-pathogenic enterobacteria [22–25]. In this study, pmrA sequence analysis was used to identify the Pectobacterium carotovorum subsp. carotovorum isothipendyl and to estimate their genetic diversity. In addition, in at least one other system, this analysis was better correlated with Enterobacterial Repetitive Intergenic Consensus PCR (ERIC-PCR) assays and phylogenies built from 16S rDNA genes [10]. Results and discussion Twenty-nine isolates from soft-rotted potato tubers (Table 1) were used in this study. They have been identified by biochemical and phenotypic tests ([2] and Additional file 1 Table S1). A part of the strains were already confirmed as P. carotovorum subsp. carotovorum using ERIC-PCR [2, 10]. However, all strains yielded a 434 bp DNA fragment in PCR with the Y1 and Y2 specific primers for pectate lyase (pel) genes of Pectobacterium spp. [26, 27] and a 666pb with specifics primers for pmrA of Pectobacterium carotovorum subsp. carotovorum (F0145 and E2477 [16]) (Figure 1). Our purpose in this study was to develop a tool with a high specificity to detect typical Pectobacterium carotovorum subsp.

For the purposes of chromosomal and plasmid DNA isolation, E col

For the purposes of chromosomal and plasmid DNA isolation, E. coli was grown aerobically in Erlenmeyer flasks filled to maximally 10% of their volume with LB medium on a rotary shaker (250 rpm) and incubated at 37°C. Anaerobic growths were performed at 37°C in sealed bottles filled with anaerobic medium and under a nitrogen gas atmosphere. Cultures for determination of hydrogenase processing or for enzyme activity measurements were grown either in buffered TGYEP medium (1%

w/v Small molecule library tryptone, 0.8% w/v glucose, 0.5% w/v yeast extract, 0.1 M potassium phosphate buffer) pH 6,5 [15] supplemented with 15 mM formate or in M9 minimal medium [26] containing 0.8% (w/v) glucose as carbon source, all standard amino acids at a final concentration of 0,04 mg/ml and 0.3 μM thiamine. When used for growth and screening for hydrogen metabolism mutants M9-glucose was supplemented with 0.29 mM citrulline, 0.89 mM uracil and was solidified with 1.5% (w/v) agar. All media were supplemented with 0.1% (v/v) SLA trace element solution [27] except when different iron sources were tested in which case FeCl3 was omitted from

SLA and was replaced by the appropriate iron source at the concentration indicated. Dipyridyl was added at a final concentration of 300 μM. All growth media included 0.1 μM NiCl2. The antibiotics kanamycin, ampicillin, and Selleck INCB024360 chloramphenicol, when required, were added to the medium at the final concentrations of 50, 100, and 12.5 μg per ml, respectively. When indicated next anhydrotetracycline (AHT) was added at the final concentration of 0.2 μg per ml. Construction of hyaA’-'lacZ,

hybO’-'lacZ and hycA’-'lacZ translational fusions The translational fusions to hyaA and hybO were constructed by amplifying the respective promotor regions and the nucleotides coding for the first 14 or 13 amino acids, respectively, by PCR using Phusion DNA polymerase (Finnzymes, Germany) and the oligonucleotides hya_regulat_up 5′-GCG GGA TCC GCG CAG AGA TTC GAA CTC TG-3′, hya_regulat_down 5′-GCG GGA TCC TGA CGC CGC ATG GCC TGG TA-3′, hybO_-217 5′-CTC GGA TCC TAT GGC CGG TTA TCG CCT C-3′ and hybO_+38 5′-CTC GGA TCC ATG CCG TGA GAA TGG ATG A-3′. The resulting respective 565 bp and 274 bp fragments were digested with BamHI and ligated into pRS552 [20], which had been digested with BamHI and dephosphorylated with shrimp alkaline phosphatase (Roche, Germany). This procedure delivered plasmids phyaA552 and phybO552, respectively. The DNA sequence was verified by sequencing (Seqlab, Germany) and the insert transferred to λRS45 [20]. In a similar manner the hycA’-'lacZ fusion was constructed using plasmid pTL101 [28]. The resulting Φ(hyaA’-'lacZ), Φ(hybO’-'lacZ) and Φ(hycA’-'lacZ) protein fusions were introduced in single copy into the lambda attachment site of the respective mutants as indicated in Table 6.

Whether antibody responses elicited by the N-terminus of EV71 VP4

Whether antibody responses elicited by the N-terminus of EV71 VP4 are capable of neutralizing CA16 virions still remains to be investigated. Conclusions In summary, this study identified an immunodominant epitope located at the N-terminal of EV71 VP4 protein. The fusion proteins of HBcAg and N-terminal of EV71 VP4-derived

peptide were able to spontaneously assemble into chimeric VLPs. Mice immunization with these chimeric VLPs elicited neutralizing antibodies against EV71 of different genotypes. The “core sequence” responsible for immune stimulation was found to be highly conserved across different EV71 genotypes. Methods Plasmid constructions and bacterial strains The peptide (VP4N20) that corresponds to first 20 residues at the N-terminal of VP4 of EV71 (Bj08) was inserted to HBcAg (HBc-N149) loop region between amino acids 78 and 79. The fusion protein was named as HBc-N149-VP4N20. selleck screening library To construct the plasmid expressing the fusion protein, DNA fragment encoding HBc-N149-VP4N20 was synthesized and amplified using primers P1u (5′- CCGCTCGAGCACCACGGTGGTT-3′)

and P1d (5′- GGAATTCCATATGGATATTGATCCGTATAAAG-3′). The PCR products were double-digested by XhoI and NdeI and subsequently inserted into the vector pET22b(+) (Novagen, USA). DNA fragment encoding HBc-N149 was amplified by using the primers P1u, P2d (5′-TGGGCAGCAATCTGGAAGATCCGGCGAGCCGCGAACTG-3′), P2u (5′- ACCAGTTCGCGGCTCGCCGGATCTTCCAGATTGCTGCCCA-3′) and P1d by using HBc-N149-VP4N20-encoding gene as a template and further inserted into the vector pET22b (+). The accuracy of the constructs was confirmed by sequencing. E. coli strain BL21 (DE3) (BeiJing TIANGEN BIOTECH, China) were used for protein expression. Expression and purification of recombinant DNA ligase proteins Overnight cultures of BL21 (DE3) cells harboring the recombinant plasmids were diluted 1:400 in 1 L of LB broth containing 100 μg/ml ampicillin, and grown until reaching an OD600 of 0.4-0.6. Protein expression was then induced by 0.1 mM of isopropyl-β-d-thiogalactopyranoside (IPTG). After shaking at 37°C for

5 h, the bacteria were collected by centrifugation at 12,000 rpm for 10 min at 4°C, and the pellets were resuspended in 100 ml of balance buffer (pH 8.0, 50 mM Tris, 100 mM NaCl, 10 mM imidazole). For protein purification, the bacterial cells were lysed by ultrasonication, followed by centrifugation at 13,000 rpm for 15 min at 4°C to remove bacterial debris. The clear supernatant was applied to a Ni Sepharose column (GE Healthcare Life Sciences, USA) according to the manufacturer’s recommendations. The columns were washed with washing buffer (pH 8.0, 50 mM Tris–HCl, 100 mM NaCl, 50 mM imidazole,) and bound proteins were eluted with elution buffer (pH 8.0, 50 mM Tris–HCl, 100 mM NaCl, 200 mM imidazole). The peak fractions were collected and analyzed by SDS-PAGE. The purity of the samples was determined by densitometric scanning. The proteins were dialyzed to PBS buffer (pH7.

Rutkowski P, Slominska EM, Wołyniec W, Smoleński RT, Szolkiewicz

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