Wiley-Interscience,

New York Allerson CR, Martinez A, Yik

Wiley-Interscience,

New York selleck compound Allerson CR, Martinez A, Yikilmaz E, Rouault TA (2003) A high-capacity RNA affinity column for the purification of human IRP1 and IRP2 overexpressed in Pichia pastoris. RNA 9:364–374PubMedCentralPubMedCrossRef Attwater J, Wochner A, Holliger P (2013) In-ice evolution of RNA polymerase ribozyme activity. Nat Chem 5:1–8CrossRef Baskerville find more S, Bartel DP (2002) A ribozyme that ligates RNA to protein. Proc Natl Acad Sci U S A 99:9154–9159PubMedCentralPubMedCrossRef Budin I, Szostak JW (2010) Expanding roles for diverse physical phenomena during the origin of life. Annu Rev Biophys 39:245–263PubMedCrossRef Budin I, Szostak JW (2011) Physical effects underlying the transition from primitive to modern cell membranes. Proc Natl Acad Sci U S A 108:5249–5254PubMedCentralPubMedCrossRef Caputi M, Mayeda A, Krainer AR, Zahler AM (1999) HnRNP A/B

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GW2580 manufacturer RNA. Nat Chem 3:603–608PubMedCrossRef Dimova R, Aranda S, Bezlyepkina N et al (2006) A practical guide to giant vesicles. Probing the membrane nanoregime via optical microscopy. J Phys Condens Matter 18:S1151–S1176PubMedCrossRef Dominak LM, Gundermann EL, Keating CD (2010) Microcompartmentation in artificial cells: pH-induced conformational changes alter protein localization. Langmuir 26:5697–5705PubMedCrossRef Drygin YF (1998) Natural covalent complexes of nucleic acids and proteins: some comments on practice Miconazole and theory on the path from well-known complexes to new ones. Nucl Acids Res 26:4791–4796PubMedCentralPubMedCrossRef Dufrenoy J, Reed HS (1946) The respiratory processes in plant cells in relation to the formation of coacervates. Plant Physiol 4:941–946 Ellington AD, Szostak JW (1990) In vitro selection of RNA molecules that bind specific ligands. Nature 346:818–822PubMedCrossRef Flügel RM, Wells RD (1972) Nucleotides at the RNA-DNA covalent bonds formed in the endogenous reaction by the avian myeloblastosis virus DNA polymerase. Virology 48:394–401PubMedCrossRef Flügel RM, Rapp U, Wells RD (1973) RNA-DNA covalent bonds between the RNA primers and the DNA products formed by RNA tumor virus DNA polymerase. J Virol 12:1491–1502PubMedCentralPubMed Fox SW (1976) The evolutionary significance of phase-separated microsystems. Orig Life Evol Biosph 7:49–68CrossRef Hatti-kaul R (2001) Aqueous two-phase systems.

This study confirmed what others have already shown that subcutan

This study confirmed what others have already shown that subcutaneous amifostine at 500 mg is well tolerated [5]. Pathologists are familiar with delayed colitis, which develops months to years after pelvic radiotherapy for rectal, gynecologic, or bladder cancers but grading acute radiation injury to bowel mucosa represents an unaddressed issue. Differential diagnosis of acute or late onset radiation colitis is broad. It is noteworthy that the presence see more of nuclear abnormalities in acute radiation colitis may mimic epithelial dysplasia in ulcerative colitis [32]. In contrast to reported observation of eosinophilic crypt abscesses

in irradiated bowel mucosa in cancer patients who received pre-operative irradiation, such findings were not observed in our patients, even in cases with an acute RC. Another study [18] had systematically characterized acute radiation colitis in patients treated with short-term preoperative radiotherapy for rectal cancer. However, due to MLN2238 the nature of the material examined (surgical resection specimens) in that study no correlation with endoscopical findings was made. In addition, findings analyzed were representing areas from peritumoral colonic mucosa, which conceivably could be affected by the adjacent tumor. Other investigators have addressed interesting issues

regarding RC pathogenesis, besides morphology, and have reported that transient aberrant expression of P-cadherin may

be associated with proctitis [33]. In an interesting study [34], also PLEK2 supportive of the prophylactic role of amifostine, radiation-induced acute rectal toxicity was evaluated by using three different toxicity scales: WHO scale, EORTC/RTOG toxicity criteria, and a modified toxicity scale. In the present study we have used precisely defined criteria for grading of acute and also of late radiation colitis, based on published reports and textbooks, and thus we were able to semiquantitavely compare histologic changes and endoscopy between groups. From the histologic data it is evident that patients receiving amifostine are less likely to develop histologically detectable mucosal changes Furthermore, the administration of amifostine appears to protect patients from acute mucosal injury. We have further extended our histopathologic study by examining the immunohistochemical expression of active caspase-3. Immunohistochemical expression of active caspace 3 in cells is a valuable means of detection of apoptosis induced by a wide variety of apoptotic signal [12]. We detected active caspase-3 in all biopsy specimens, early or late, with or without amifostine, even in pre-radiation biopsies. However, significant differences between mTOR inhibitor treatent arms were not detected. This is probably due, at least in part, to drop-out of the epithelium in the acute injury phase, were the apoptotic index (AI) should be the highest.

CrossRef 7 Parker RR, Spencer RR, Francis E: Tularemia infection

CrossRef 7. Parker RR, Spencer RR, Francis E: Tularemia infection in ticks of the species Dermacenter andersoni Stiles in the Bitterroot Valley, Montana. Pub Health Rep 1924, 39:1057–1073. 8. Hopla

CE: The multiplication of tularemia organisms in the lone-star tick. Amer J Hyg 1955,61(3):371–380.PubMed 9. Francis E, Mayne B: Experimental transmission of tularaemia by flies of the species Chrysops discalis. Pub Health Rep 1921, 36:1738–1746. 10. Hopla CE: The ecology of tularemia. Advances In Veterinary Science And Comparative Medicine (Edited by: Brankly CA, Cornelius C). New York, N.Y., U.S.A.; London, England: Academic Press 1974, 18:25–53. 11. Matyas BI, Nieder HS, Telford SR: Pneumonic this website tularemia on Martha’s Vineyard – Clinical,

epidemiologic, and ecological characteristics. Francisella Tularensis: Biology, Pathogenicity, Epidemiology, And Biodefense 2007, 1105:351–377. 12. Feldman KA, Enscore RE, Lathrop LY2874455 price SL, Matyas BT, McGuill M, Schriefer ME, Stiles-Enos D, Dennis DT, Petersen LR, Hayes EB: An outbreak of primary pneumonic tularemia on Martha’s Vineyard. N Engl J Med 2001,345(22):1601–1606.CrossRefPubMed 13. Berrada ZL, Goethert HK, Telford SR: Raccoons and skunks as sentinels for enzootic tularemia. Emerg Infect Dis 2006,12(6):1019–1021.PubMed 14. Goethert HK, Shani I, Telford SR: Genotypic diversity of Francisella tularensis infecting Dermacentor variabilis ticks on Martha’s Vineyard, Massachusetts. J Clin Microbiol 2004,42(11):4968–4973.CrossRefPubMed 15. Johansson A, Goransson I, Larsson P, Sjostedt A: Extensive allelic variation among Francisella tularensis strains in a short-sequence tandem repeat region. J Clin Microbiol 2001,39(9):3140–3146.CrossRefPubMed 16. Parker R, Steinhaus E, Kohls G, Jellison W: Contamination of Natural Waters and Mud with Pasteurella tularensis and Tularemia in Beavers and Muskrats in the

Northwestern United States. Washington, DC: US Government Printing Office 1951., 193: 17. Goethert HK, Telford SRI: Nonrandom distribution of vector ticks ( Dermacentor variabilis ) infected by Francisella tularensis. PLoS Pathog 2009,5(3):e1000319.CrossRefPubMed Aurora Kinase 18. Davis S, Klassovskiy N, Ageyev V, Suleimenov B, Atshabar B, Klassovskaya A, Bennett M, Leirs H, Begon M: Plague metapopulation dynamics in a natural reservoir: the burrow system as the unit of study. Epidemiol Infect 2007,135(5):740–748.CrossRefPubMed 19. Gaff HD, Gross LJ: Modeling tick-borne disease: A metapopulation model. Bull Math Biol 2007,69(1):265–288.CrossRefPubMed 20. Goethert HK, Telford SR: A new Francisella ( Beggiatiales: Francisellaceae ) Quisinostat inquiline within Dermacentor variabilis Say ( Acari: Ixodidae ). J Med Ent 2005,42(3):502–505.CrossRef 21. Johansson A, Farlow J, Larsson P, Dukerich M, Chambers E, Bystrom M, Fox J, Chu M, Forsman M, Sjostedt A, et al.: Worldwide genetic relationships among Francisella tularensis isolates determined by multiple-locus variable-number tandem repeat analysis.

PLD expression is uncommon among other bacterial pathogens and th

PLD expression is uncommon among other bacterial pathogens and these PLDs are exclusively of the HKD superfamily. However, most of the pathogens that do express PLD have obligate or facultative intracellular lifestyles and expression of this enzyme is thought to be involved in disease pathogenesis [31–35]. Specifically in Neisseria gonorrhoeae and Rickettsia spp., PLDs are required for invasion of host cells [32, 35]. This work characterizes the effects of A. haemolyticum PXD101 ic50 PLD on host cells, with an aim to elucidating the role of this toxic enzyme in disease pathogenesis. We report that PLD is required for optimal adhesion to host cells, via remodeling

of lipid rafts. Furthermore, PLD expressed inside host cells is directly toxic, leading to cell death via necrosis. These findings provide the first conclusive evidence that PLD may be required for A. haemolyticum disease pathogenesis. Results Analysis of the pld gene region A draft genome sequence of A. haemolyticum ATCC9345 was determined (B.H. Jost and S.J. Billington, unpublished

data), and this data was used to identify sequences flanking the pld gene (GenBank Accession Number L16583). The pld gene was found in a region resembling a 1.9-kb genomic island of lower %G + C than the rest of the A. haemolyticum genome (53.1%). This region consists of pld (47.2% G + C), and orf489 (50.3% G + C) which lacks a signal sequence and is of unknown this website function (Figure 1). 43-bp downstream Vorinostat cell line of pld and 17-bp upstream of orf489 is a stem-loop structure with a ΔG = -20.8 kcal/mol, which may act as a transcriptional terminator or attenuator. There does not click here appear to be any direct or indirect repeats flanking this region. The pld region is flanked upstream by three tRNA genes and gluRS, encoding a glutamyl-tRNA synthetase (EC 6.1.1.17), and downstream by dcp, encoding a peptidyl-dipeptidase (EC 3.4.15.5), which is divergently transcribed

compared to pld (Figure 1). The %G + C of the surrounding housekeeping genes (Figure 1) more closely resembles the %G + C of the A. haemolyticum genome. Figure 1 Map of the pld gene region. The open arrows indicate genes and the direction of transcription. Triangles below the sequence indicate the location of stem-loop structures, with the ΔG (kcal/mol) shown inside the triangle. Gene names are given above or below the arrows and the number below the name indicates the %G + C of the gene. A bar indicating 1-kb is shown on the right. Given the variation in %G + C of the pld gene and the presence of adjacent tRNA genes, which often act as sites of foreign gene insertion [36], it is possible that the A. haemolyticum pld gene was acquired by horizontal gene transfer. It would appear that orf489 is also part of the transferred DNA, and while it is not translationally coupled to pld, its transcription may be linked to that of pld despite the presence of a transcriptional terminator/attenuator between the two genes.

For

most of these, their direct connection with ribose me

For

most of these, their direct connection with ribose metabolism is unknown, and is likely an indirect effect. Conclusions The ability to ferment meat and fish is related to the capacity of the bacterium to rapidly take up the available carbohydrates and other components for growth. The importance of this process, especially to the meat industry, stimulates research aimed at understanding the mechanisms for transport and metabolism of these compounds, with the ultimate goal to be able to select improved strains. Genome-wide transcriptome analyses with DNA microarrays efficiently allowed the identification of genes differentially expressed between growth on the two carbohydrates which L. sakei can utilize from these substrates. Moreover, microarrays were a powerful tool to increase the understanding of the bacterium’s primary metabolism and revealed selleck inhibitor a global regulatory mechanism. In summary, the ribose uptake and catabolic machinery is highly regulated at the transcription level, and it is closely linked with catabolism of nucleosides. A global regulation mechanism seems to permit a

fine tuning of KPT-8602 clinical trial the expression of enzymes that control efficient exploitation of available carbon sources. Acknowledgements and funding This work was financially supported by Grant 159058/I10 from the Norwegian Research Council. The authors would like to thank TSA HDAC Monique Zagorec for helpful suggestions and critically reading the manuscript. We also thank Margrete Solheim, Adenosine Mari Christine Brekke, and Signe Marie Drømtorp for their assistance during the experiments, and Hallgeir Bergum, the Norwegian Microarray Consortium (NMC), for printing the microarray slides. Electronic supplementary material Additional file 1: Table S3. Primer and probe sets used for qRT-PCR. Presents

the primer and probe sets used for validation of microarray data by qRT-PCR analysis. Table S4. Comparison of microarray data with qRT-PCR results of L. sakei strain LS 25 grown on ribose compared with glucose. Presents gene regulation values (log2) from the qRT-PCR analysis in comparison with microarray data. (PDF 58 KB) References 1. Hammes WP, Bantleon A, Min S: Lactic acid bacteria in meat fermentation. FEMS Microbiol Rev 1990, 87:165–174.CrossRef 2. Hammes WP, Hertel C: New developments in meat starter cultures. Meat Science 1998, 49:125–138.CrossRef 3. Bredholt S, Nesbakken T, Holck A: Protective cultures inhibit growth of Listeria monocytogenes and Escherichia coli O157:H7 in cooked, sliced, vacuum- and gas-packaged meat. Int J Food Microbiol 1999, 53:43–52.PubMedCrossRef 4. Bredholt S, Nesbakken T, Holck A: Industrial application of an antilisterial strain of Lactobacillus sakei as a protective culture and its effect on the sensory acceptability of cooked, sliced, vacuum-packaged meats.

Research grants from Servier R&D and Procter & Gamble No stocks

Research grants from Servier R&D and Procter & Gamble. No stocks or shares in relevant companies. Cyrus Cooper: Received consulting fees and lectured for Amgen, Alliance for Better Bone Health, Eli Lily, Merck Sharp and Dohme, Servier, AZD4547 chemical structure Novartis, and Roche-GSK. Adolfo Diez-Perez: Honoraria: Novartis, Eli Lilly, Amgen, Procter & Gamble, Roche; Expert Witness: Merck; Consultant/Advisory board: Novartis, Eli Lilly, Amgen, Procter buy 4SC-202 & Gamble. Stephen Gehlbach: The Alliance for Better Bone Health

(Procter & Gamble Pharmaceuticals and sanofi-aventis). Susan L Greenspan: Research grant: Lilly, Procter & Gamble, Novartis, Amgen, Zelos; Other research support: Novartis, Wyeth; Honoraria: Procter & Gamble for CME speaking; Consultant/Advisory 3-Methyladenine molecular weight Board: Amgen, Procter & Gamble, Merck. Andrea LaCroix: The Alliance for Better Bone Health (Procter & Gamble Pharmaceuticals and sanofi-aventis). Robert Lindsay: The Alliance for Better Bone Health (Procter & Gamble Pharmaceuticals and sanofi-aventis). J Coen Netelenbos: Research grant: sanofi-aventis, Procter & Gamble; Speakers’ bureau: Procter & Gamble; Honoraria: GP Laboratories; Consultant/advisory board: Procter & Gamble, Roche, GlaxoSmithKline, Nycomed. Johannes Pfeilschifter: Research grant: AMGEN, Kyphon, Novartis, Roche; Other research

support: Equipment: GE LUNAR; Speakers’ bureau: AMGEN, sanofi-aventis, GlaxoSmithKline, Roche, Lilly Deutschland, Orion Pharma, Merck Sharp and Dohme, Merckle, Nycomed, Procter & Gamble; Advisory Board membership: Novartis, Roche, Procter & Gamble, TEVA. Christian Roux: Honoraria: Alliance, Amgen, Lilly, Merck

Sharp and Dohme, Novartis, Nycomed, Roche, GlaxoSmithKline, Servier, Wyeth; Consultant/Advisory board: Alliance, Amgen, Lilly, Merck Sharp and Dohme, Amino acid Novartis, Nycomed, Roche, GlaxoSmithKline, Servier, Wyeth. Kenneth G Saag: Speakers’ bureau: Novartis; Consulting Fees or other remuneration: Eli Lilly & Co., Merck, Novartis, Amgen, Roche, Proctor & Gamble, sanofi-aventis; Paid research: Eli Lilly & Co, Merck, Novartis, Amgen, Prector & Gamble, sanofi-aventis; Advisory Committee or other paid committee: Eli Lily & Co. Philip Sambrook: Honoraria: Merck, sanofi-aventis, Roche, Servier; Consultant/Advisory board: Merck, sanofi-aventis, Roche, Servier. Stuart Silverman: Research grants: Wyeth, Lilly, Novartis, Alliance; Speakers’ bureau: Lilly, Novartis, Pfizer, Procter & Gamble; Honoraria: Procter & Gamble; Consultant/Advisory Board: Lilly, Amgen, Wyeth, Merck, Roche, Novartis. Ethel S Siris: Speakers’ bureau: Lilly, Merck, Procter & Gamble, sanofi-aventis, Novartis. Nelson B Watts: Stock options/holdings, royalties, company owner, patent owner, official role: none. Amgen: speaking, consulting, research support (through the university). Eli Lilly: consulting, research support (through the university). Novartis: speaking, consulting, research support (through the university).

02 pH 6 87 (±0 11) 7 26 (±0 11)

<0 01 Rate of Bleeding (R

02 pH 6.87 (±0.11) 7.26 (±0.11)

<0.01 Rate of Bleeding (RBC/hr) 4 (±1.5) 3 (±1.7) 0.03 Time to rFVIIa (hr) 3.7 (±2.2) 6.2 (4.5) 0.04 rFVIIa Dose (ug/Kg) 89 (±43) 116 (±79) 0.14 > 1 rFVIIa doses (%) 9 33 0.05 Values are presented as mean (±SD) or median (IQR – Interquartile Range) when appropriate. ISS, injury severity score; AIS, abbreviated injury scale; INR, international normalized ratio; RBC/hr, units of red blood cells per hour in the first 6 hrs of admission; Statistical significance was set at p<0.05 A comparison of mortality between the two groups is shown in Table 2. Of the 11 severely acidotic (pH ≤ 7.02) patients in the last resort group, all (100%) died. Of the 60 less acidotic (pH > 7.02) patients in the

non-last resort group, 26 (43%) died. Table 2 pH https://www.selleckchem.com/p38-MAPK.html & In-hospital Mortality   Alive Dead Hospital Mortality pH > 7.02 (n=60) 34 26 43% pH ≤ 7.02 (n=11) 0 11 100% Sensitivity 100% (34/34) Specificity 30% (11/37) (PPV) 57% (34/60) (NPV) 100% (11/11) PPV, positive predictive value; NPV, negative predictive value learn more The vast majority, 72% of rFVIIa-treated patients received only 1 dose, while 24% received 2 doses, and 4% received 3 doses after being admitted to the hospital. The first dose was administered after a median time interval of 4.5h (2.7, 7.7). Repeated doses were administered after an average time interval of 2.3h. This indicated that as the patient’s condition deteriorated, more doses of rFVIIa were administered in an expedited fashion. The median initial dose was 85.7µg/kg (61.6, 102.8). This was also the overall median dosage, as most patients only received 1 dose. Of note, a transfusion medicine specialist at SHSC approved the use of rFVIIa as a final alternative when all potential interventions

failed. In the years 2000 and 2001, low doses of 17.1µg/kg of rFVIIa were administered after patients received more than 20 units of RBCs. However, following a supportive randomized control trial on rFVIIa in trauma [8], fewer units of RBCs were noted to be transfused prior to rFVIIa administration and more doses of rFVIIa were given from 2002 onwards. The total cost of administrating sufficient doses of rFVIIa to the 11 patients as a last resort was AP26113 mouse approximately $75,162 (CA). This monetary cost was measured Gefitinib ic50 solely based on the amounts of doses of rFVIIa given and excluded other expenditures associated with the administration of the drug. In the United States of America, a low dose (1,200 µg or 17.1µg/kg on a 70 kg average adult) of rFVIIa is the smallest available unit dose that costs approximately the same as 8 units of plasma [23]. The price of one unit of plasma is approximately $120 (USD), including expenditures related to administering them [23]. Discussion Over the last decade, rFVIIa has been explored as a potential treatment for many coagulopathic states other than congenital conditions and hemophilias [7, 11, 24] .

44-0141, a = 9 7847, c = 2 863) The cell volume of caddice-clew-

44-0141, a = 9.7847, c = 2.863). The cell volume of caddice-clew-like MnO2 is 273.97 Å3 which is also highly identical to the standard

values (274.1 Å3),while the lattice parameters of urchin-like MnO2 are a = 9.8084 and c = 2.8483. According to the standard values, the crystal cell expands in a and b directions and contracts in c direction. The cell volume of urchin-like MnO2 is 274.02 Å3. The average size of the caddice-clew-like MnO2 crystal grains is calculated to be 32 nm according to the Scherrer equation D = Kλ/βcosθ using the strongest diffraction peak of (211) [D is crystal grain size (nm), K is the Scherrer constant (0.89), λ is the X-ray selleck chemical wavelength (0.154056 nm) for Cu Kα, β is the full width at half maximum (FWHM) of the peak (211), and θ is the angle of diffraction peak],while the measured diameter of caddice-clew-like MnO2 is 53 nm. The average size of the urchin-like MnO2 crystal grains is calculated to be 51 nm according to the Scherrer www.selleckchem.com/products/Cyt387.html equation. The measured diameter of the short nanorods on urchin-like MnO2 is about 50 nm. As can be seen, the calculated crystallite size value of caddice-clew-like MnO2 crystal is a little smaller than the measured

value, but the calculated crystallite size value of urchin-like MnO2 crystal is identical. Although the MnO2 micromaterials are in micrometer scale, they are confirmed to assemble by nanomaterials. Consequently, although the two MnO2 micromaterials are with identical crystal structure, they may have some difference in the electrochemical Selleck Fedratinib GPX6 performance as the urchin-like MnO2 has the expanded lattice parameters. Figure 3 The XRD patterns of MnO 2 materials. (a) Caddice-clew-like and (b) urchin-like MnO2 samples. Electrochemical performance Figure 4 presents the typical charge-discharge voltage curves

of the anodes (compared to the full battery) constructed from MnO2 micromaterials at 0.2 C rate in the voltage range of 0.01 to 3.60 V (vs. Li/Li+). For clarity, only selected cycles are shown. As shown, the two α-MnO2 micromaterials both have high initial discharge specific capacity as approximately 1,400 mAh g−1, while the theoretical discharge specific capacity is 1,232 mAh g−1. The extra discharge specific capacities of the as-prepared MnO2 micromaterials may result from the formation of solid electrolyte interface (SEI) layer which is known as a gel-like layer, containing ethylene oxide-based oligomers, LiF, Li2CO3, and lithium alkyl carbonate (ROCO2Li), during the first discharging process [29]. The discharge specific capacities of the as-prepared MnO2 micromaterials in the second cycle are 500 mAh g−1(caddice-clew-like MnO2) and 600 mAh g−1 (urchin-like MnO2), respectively. There is an attenuation compared to the initial discharge capacity. After the fifth cycling, the discharge specific capacities of the as-prepared MnO2 micromaterials are 356 mAh g−1 (caddice-clew-like MnO2) and 465 mAh g−1 (urchin-like MnO2), respectively.

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A, Keilholz U, Scheibenbogen Paclitaxel price C: Evaluation of the interferon-gamma ELISPOT-assay for quantification of peptide specific T lymphocytes from peripheral blood. J Immunol Methods 1997, 210:167–174.CrossRef 25. Overwijk WW, Theoret MR, Finkelstein SE, Surman DR, de Jong LA, Vyth-Dreese FA, Dellemijn TA, Antony PA, Spiess PJ, Palmer DC, Heimann DM, Klebanoff CA, Yu Z, Hwang LN, Feigenbaum L, Kruisbeek AM, Rosenberg SA, Restifo NP: Tumor regression and autoimmunity after reversal of a functionally tolerant state of self-reactive CD8+ T cells. J Exp Med 2003, 198:569–580.CrossRef 26. Abbas AK, Lichtman AH: Basic Immunology: Functions and Disorders of the Immune System. Philadelphia: Elsevier Saunders; 2006. 27. Moon JJ, Suh H, Bershteyn A, Stephan MT, Liu H, Huang B, Sohail M, Luo S, Ho Um S, Khant H, Goodwin JT, Ramos J, Chiu W, Irvine DJ: Interbilayer-crosslinked multilamellar vesicles as synthetic vaccines for potent humoral and cellular immune responses. Nat Mater 2011, 10:243–251.CrossRef 28. Good NE, Winget GD, Winter W, Connolly TN, Izawa S, Singh RMM: Hydrogen ion buffers for biological research. Biochemistry 1966, 5:467–477.CrossRef 29. Hermanson GT: Bioconjugate Techniques. Waltham: Academic Press; 2008.

J Bacteriol 176:32–43PubMedCentralPubMed Eraso JM, Kaplan S (1995

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