This suggests that luxS and AI-2 play a role in enhancing bacteri

This suggests that luxS and AI-2 play a role in enhancing bacterial motility, rather than an intact cysteine biosynthesis pathway, implying a likely role of luxS Hp in signalling. ΔLuxSHp mutants have altered flagella morphology and motility patterns Motility plates effectively indicate motility FK228 molecular weight phenotypes of the population, but do not give any indication of the structure of the motility organelles (flagella), or the motility pattern of individual cells. To characterise the phenotypes underlying the decreased ability of the ΔluxS Hp mutant to swarm in soft agar, we examined motility of individual

bacterial cells using phase-contrast microscopy and Thiazovivin order also the flagellar morphology of the cells using electron microscopy. Cells tested included wild-type, ΔluxS Hp and ΔluxS Hp +, all grown in the presence and absence of DPD BAY 80-6946 and cysteine. All cells were grown in co-culture with human gastric adenocarcinoma (AGS)

cells for 24 h before testing, as previous experiments in our laboratory have shown that this gives highly reproducible results in H. pylori motility experiments. Phase-contrast microscopy revealed that > 40% of wild-type and ΔluxS Hp + cells were motile; whereas less than 2% of ΔluxS Hp cells were motile. When grown with exogenous DPD, motile cells again made up > 40% of the population for wild-type and ΔluxS Hp + cells, but now also made up > 40% of the population for ΔluxS Hp cells. Cultures of the ΔluxS Hp grown with exogenous cysteine consistently contained less than 2% motile cells. To

exclude the possibility that the restoration of Tyrosine-protein kinase BLK motility of ΔluxS Hp cells was due to an effect of DPD on AGS cells rather than on H. pylori, we set up a control sample in which the wild-type and ΔluxS Hp mutant were co-cultured individually with AGS cells that had been treated with DPD overnight. DPD was washed off with the media before co-culturing. As expected, both wild-type and ΔluxS Hp cells in these control cultures showed very similar motility phenotypes to those co-cultured with normal AGS cells, indicating that DPD is a functional signalling molecule to H. pylori cells rather than it working through affecting eukaryotic cells. Moreover, the approximate speed of motile ΔluxS Hp cells was visibly lower compared to the wild-type, ΔluxS + and all cell samples plus DPD. Electron microscopic images (Figure. 3) showed that all samples tested (wild-type, ΔluxS Hp and ΔluxS Hp +, grown in the presence or absence of DPD) produced a flagellar filament of some kind in the majority of bacterial cells, but those of the ΔluxS Hp strain were consistently short and usually fewer in number. In our experiments, nearly all of the wild-type cells tested had flagella (95% ± 3%, n = 3) and most of these had multiple flagella, which were usually at one pole and typically 3-4 in number (90% ± 3%, n = 3) (Figure. 3A).

4 702 hlyA (3865-3883) (4592-4613) FM180012 113f 113r CTTGGTGGCGA

4 702 hlyA (3865-3883) (4592-4613) FM180012 113f 113r CTTGGTGGCGATGTTAAGG GACTCTTTTTCAAACCAGTTCC 53.5 749 hlyD (8297-8319) & IS911 (8925-8946)

FM180012 99f 99r GCAGAATGCCATCATTAAAGTG CCATGTAGCTCAAGTATCTGAC 53.8 650 PAI I (536) (44506-44524) &hlyC (45278-45299) AJ488511 81f 81r CCTGTGACACTTCTCTTGC CCCAAGAACCTCTAATGGATTG 52.3 773a PAI II (536) (31974-31995) &hlyC (32650-32668) AJ494981 72f 72r CCCAACTACAATATGCAACAGG CGCCAATAGAGTTGCCTTC 51.9 695 a) PCR products of different lengths were AZD3965 obtained with these primers depending on the DNA template (see Table 1) Figure 2 Map of the α- hly region of plasmid pEO5 (FM180012). The positions of PCR-primers used for investigation of strains with plasmid and chromosomally inherited α-hly genes are indicated as leaders carrying the primer designations SC75741 research buy (Table 2). Regulatory sequences inside the hlyR gene (A, B and OPS) are shown as filled ballons. “”phly152″” is a stretch of non-coding DNA showing strong homology to corresponding regions in the α-hly plasmid pHly152.

Primers 1f/r are specific for the upstream hlyC region in pEO5 and yielded a PCR product of 678 bp (Fig. 2). PCR products of the same size were obtained with all strains carrying α-hly plasmids, except 84/S (pEO14); restriction enzyme analysis revealed all the fragments had a similar HinfI profile (data not shown). Primers 1f/r gave no products using E. coli strains carrying chromosomally encoded α-hly as template with the exception of the E. cloacae Emricasan strain KK6-16 which yielded a PCR product; DNA sequencing revealed a 778 bp fragment [GenBank FM210352, position 72-849] (Table 1). Primers 32f/r spanning the region between hlyR and the “”phly152″” segment amplify a 671 bp product in pEO5 [GenBank FM180012, position 597-1267] (Fig. 2). A PCR product of Florfenicol the same size was obtained with pEO5

and derivative plasmids as well as with plasmids pEO9 [GenBank FM210248 position 427-1097], pEO13 and pEO860 (Table 1, Fig. 3). Primers 32f/r yielded PCR products of 2007 bp with pEO11, [GenBank FM210249, position 392-2398), pHly152 and pEO12, and 2784 bp PCR products with pEO853 [GenBank FM10347 position 399-3182], pEO855 and pEO857 (Table 1). All amplicons of a given size (671 bp, 2007 bp and 2784 bp), yielded a similar HinfI restriction pattern (data not shown). Strains with chromosomally encoded α-hemolysin gave no products in the 32f/r PCR, as well as strain 84/2 S carrying plasmid pEO14 (Table 1). Figure 3 Map of the hlyR – hlyC region of representative plasmids of groups 1, 2 and 3. Genetic map of the corresponding regions from hlyR to hlyC of α-hly determinants from plasmids representing groups 1-3. A) pEO9, (strain 84-2195) B) pEO11, (84-3208); and C) pEO853 (CB853). The positions of PCR-primers used for identification and nucleotide sequencing are indicated as leaders carrying the primer designations (Table 2). Regulatory sequences inside the hlyR gene (A, B and OPS) are shown as filled ballons.

We found that IT anti-c-Met/PE38KDEL exerts its anti-growth effec

We found that IT anti-c-Met/PE38KDEL exerts its anti-growth effect primarily through rapid inhibition of protein synthesis. Materials and Methods Immunotoxin IT anti-c-Met/PE38KDEL was described previously [9]. It induces apoptosis in hepatic carcinoma cells SMMC7721. Cell Counting Kit 8 (CCK8) was purchased from Sigma Chemical. Caspase colorimetric assay kit and anti-caspase-3 antibody were from Biovision. Antibodies against c-Met and β-actin

were purchased from Santa Cruz. Protein lysis buffer was from TaKaRa Biotechnology. Cell culture GC cells lines, MKN-45 and SGC7901, and normal gastric mucosa cells GES-1 were obtained from the Cell Bank of Type Culture Collection of the Chinese Academy of Sciences (Shanghai, China), and were grown in DMEM (Invitrogen) supplemented with 10% fetal calf serum (FCS) and incubated at 37°C with Selleckchem SC79 5% CO2. All cell lines were routinely tested and found to be free from mycoplasma contamination. Western Blotting GES-1, MKN-45 and SGC7901 cells

grown in 6-well plates were collected in lysis buffer for total cellular protein. Protein concentrations were measured using a Bradford reagent (Bio-Rad). Equal amounts of protein CA4P manufacturer (80 μg/lane) from each cell line were boiled for 5 min, separated by SDS-PAGE, and then transferred on to a nitrocellulose membrane before blocking in 5% non-fat dried milk in Tris-buffered saline (TBS) for 120 min at room temperature. The membranes were then incubated with a primary anti-human c-Met polyclonal antibody (diluted 1:150 in a new batch of the blocking buffer) or a goat polyclonal primary anti-β-actin 17-DMAG (Alvespimycin) HCl (diluted 1:1000, Santa Cruz, CA, USA) for 2 hr and followed by incubation with peroxidase-labelled anti-IgG secondary antibody for

1 hr. After washing with TBST for 3 times, the films were developed and the protein bands were quantified by densitometry using ImageJ CHIR-99021 mw software (NIH, Bethesda, MD, USA). To detect the caspase-3 activity, both floating and adherent cells were collected 24 hr following IT treatment. Total cellular protein was prepared as described above. All the experiments were performed at least twice with similar results. Cell proliferation assay Cell growth inhibition rate (IR) was determined using a CCK- 8 assay following the manufacturer instructions (Sigma). GES-1, MKN-45 and SGC7901 cells were seeded at a concentration of 1 × 105 cells/90 μl/well in 96-well culture plates. After incubation of cells with the indicated concentrations of IT for 24 hr and 48 hr, 10 μl/well of cell Counting Kit-8 solution was added to the medium and the cells were incubated for an additional 4 hr. The absorbance at 450 nm was then measured in a Microplate Reader. IR was calculated using the following equation: IR = [1-(A value in the treated samples-A value in the blank samples) / (A value in the control samples-A value in the blank samples)] *100%. The assays were performed in triplicates and repeated at least twice [14].

e , the pigment that transfers the excitation energy to the react

e., the pigment that transfers the excitation energy to the reaction center. As the LDN-193189 in vitro individual BChl a molecules interact within the FMO complex, the exciton nature of their excitation is treated and exciton simulations, used to generate various linear spectra, are described. Important parameters in these simulations are the dipolar coupling strength and the linewidth of the transitions. The section ends with a discussion of the controversial nature of the lowest energy absorption band at 825 nm. Over the years, simulations of the linear spectra have become increasingly sophisticated. Whereas early on, almost all optical properties were hotly debated, in recent

times, the tendency is to use parameter sets and methods as obtained and developed by Louwe et al. The validity of their study also extends into the nonlinear regime, as is the topic of the next section. Absorption spectra at high

and low temperatures The linear absorption spectrum of the FMO complex shows several bands in the wavelength range of 200–900 nm (Olson 2004). The Q y (S 1) absorption band around 800 nm is the most well-characterized band and the focus of the current study. In membrane factions of Chlorobium tepidum, this band appears in the spectral region between the absorption band of BChl c in the chlorosomes (720–750 nm) and the Q y band of the BChl a in the reaction center at ∼834 nm PF477736 datasheet (Melkozernov et al. 1998). The Q y  (S 1) absorption band has a temperature-dependent shape. At cryogenic temperatures, in a mixture of Tris buffer and glycerol, the absorption band consists of at least three distinct peaks (Johnson and Small 1991; 3-mercaptopyruvate sulfurtransferase Gulbinas et al. 1996) (Fig. 3). At elevated temperatures, the fine structure disappears, and the absorption spectrum appears as a broad featureless band. Fig. 3 Comparison of the low-temperature

absorption spectra of Prosthecochloris aestuarii (triangles) and Chlorobium tepidum (circles) offset by 0.4 for clarity. The figure is adapted from Francke and Amesz (1997) (left). Structure of the BChl a pigment. R represents the phytyl chain. The direction of the Q y transition dipole moment is indicated by the arrow (right) Bafilomycin A1 clinical trial low-temperature absorption spectra of the Q y  (S 1) band show a clear difference between the FMO complex of Prosthecochloris aestuarii and Chlorobium tepidum; the former has a strong absorption band at 815 nm, while for the latter, the strongest absorption band is at 809 nm. Comparison between the two species with 97% homology (Chlorobium limicola and Chlorobium tepidum) shows a nearly identical absorption spectrum at 6 K. This indicates that the local protein environment has a limited but observable influence in the spectral differences between the FMO complexes (Francke and Amesz 1997). Li et al.

The presence of free rhodamine B in the final





CrossRef 12 Hafez H, Wu J, Lan Z, Li Q, Xie G, Lin J, Huang M, H

CrossRef 12. Hafez H, Wu J, Lan Z, Li Q, Xie G, Lin J, Huang M, Huang Y, Abdel-Mottaleb

MS: Enhancing the photoelectrical performance of dye-sensitized solar cells using TiO 2 :Eu 3 + nanorods. Nanotechnology 2010, 21:415201–415206.CrossRef 13. Liu JF, Yao QH, Li YD: Effects of downconversion luminescent film in dye-sensitized solar cells. Appl Phys Lett 2006, 88:173119–173123.CrossRef 14. Yun JJ, Jung HS, Kim SH, Vaithianathan V, Jenekhe SA, Han EM: Chlorophyll-layer-inserted poly(3-hexyl-thiophene) solar cell having a high light-to-current conversion efficiency up to 1.48%. Appl Phys Lett 2005, 87:123102.CrossRef AZD1480 in vivo 15. Huang XY, Wang JX, Yu DC, Ye S, Zhang QY: Spectral conversion for solar cell efficiency enhancement using YVO 4 :Bi 3+ , Ln 3+ (Ln = Dy, Er, Ho, Eu, Sm, and Yb) phosphors. J Appl Phys 2011,109(11):113526–113527.CrossRef 16. Chai R, Lian H, Yang P, Fan Y, Hou Z, Kang X, Lin J: In situ preparation and luminescent properties of LaPO 4 :Ce S63845 3+ , Tb 3+ nanoparticles and transparent LaPO 4 :Ce 3+ , Tb 3+ /PMMA nanocomposite. J Colloid Interface Sci 2009, 336:46–50.CrossRef 17. Song WS, Choi HN, Kim YS, Yang HS: Formation of green-emitting LaPO4:Ce, Tb nanophosphor layer and its application to highly transparent plasma displays. J Mater Chem 2010, 20:6929–6934.CrossRef 18. Pankratov V, Popov AI, Kotlov A, Feldmann C: Luminescence

of nano- and macrosized LaPO 4 :Ce, Tb excited by synchrotron radiation . Opt Mater

2011, 33:1102–1105.CrossRef 19. Guo W, Shen YH, Boschloo G, Hagfeldt A, Ma TL: Influence of nitrogen dopants on N-doped TiO 2 electrodes and their applications in dye-sensitized solar cells. Electrochim Acta 2011, 56:4611–4617.CrossRef 20. Xie GX, Lin JM, Wu JH, Lan Z, Li QH, Xiao YM, Yue GT, Yue HF, Huang ML: Application of upconversion luminescence in dye-sensitized solar cells. Chin Sci Bull 2011, 56:96–101.CrossRef Competing interests The authors declare that they have no competing interests. Authors’ contributions CKH and JJY performed UV–vis spectroscopic study and I-V result analysis. HSK fabricated the DSSCs. EMH performed the photoluminescence Montelukast Sodium analysis. KHP drafted the manuscript. All authors read and approved the final manuscript.”
“Background One-dimensional semiconductor nanostructures such as nanotubes and nanowires (NWs) are being actively investigated for applications in electronic, photonic, and sensor devices [1]. Group IV semiconductor NW-based devices are attractive because of their compatibility with the existing Si complementary metal oxide semiconductor (CMOS) integrated circuit technology. Therefore, group IV NWs such as Ge/GeO x can also be used for nanoscale nonvolatile memory applications because they are compatible with CMOS technology. Resistive random access memory (RRAM) devices have received considerable interest recently because of their high performance and potential scalability [2–8].

J Cell Biol 1989,109(5):2323–2335 PubMedCrossRef 41 Dawson SC: A

J Cell Biol 1989,109(5):2323–2335.PubMedCrossRef 41. Dawson SC: An insider’s guide to the microtubule cytoskeleton of Giardia.

Cell Microbiol 2010,12(5):588–598.PubMedCrossRef 42. Crossley R, Marshall J, Clark JT, Holberton DV: Immunocytochemical differentiation of microtubules in the cytoskeleton of Giardia lamblia using monoclonal antibodies to alpha-tubulin and polyclonal antibodies to associated low molecular weight proteins. J Cell Sci 1986, 80:233–252.PubMed 43. Piva B, Benchimol M: The median body of Giardia lamblia: an ultrastructural study. Biol Cell 2004,96(9):735–746.PubMedCrossRef 44. Heyworth MF, Foell JD, Sell TW: Giardia muris: evidence for a beta-giardin homologue. Exp Parasitol 1999,91(3):284–287.PubMedCrossRef 45. Alonso RA, Peattie DA: Nucleotide sequence of a second alpha giardin gene and molecular

analysis of the alpha giardin genes and transcripts in Giardia lamblia. Mol Biochem Parasitol 1992,50(1):95–104.PubMedCrossRef Salubrinal 46. Lauwaet T, Davids BJ, Torres-Escobar A, Birkeland SR, Cipriano MJ, Preheim SP, Palm D, Svard SG, McArthur AG, Gillin FD: Veliparib price Protein phosphatase 2A plays a crucial role in Giardia lamblia differentiation. Mol Biochem Parasitol 2007,152(1):80–89.PubMedCrossRef 47. Roxstrom-Lindquist K, Palm D, Reiner D, Ringqvist E, Svard SG: Giardia immunity–an update. Trends Parasitol 2006,22(1):26–31.PubMedCrossRef Competing interests The authors declare that they have no competing interests. Authors’ contributions CF and ASR carried out the experiments related to the development of monoclonal antibodies. CF, MCM and MRR performed most of the immunoassays and participated in editing the manuscript and data analysis. UH carried out mass spectrometry assays. MCP contributed to the design of the experiments and participated in editing the final copy of the manuscript.

ASR was the overall project Ro 61-8048 order leader, participated in the design and coordination Bay 11-7085 of the project and wrote the manuscript. All authors have read and approved the final manuscript.”
“Background Mycobacterium tuberculosis, the etiological agent of tuberculosis, has the ability to enter human macrophages and survive inside them in a ‘latent’ or ‘non-proliferating’ form for a long period of time. This behavior is termed dormancy or latency. During their lifetime, latent bacilli can reactivate giving rise to active tuberculosis, the transmissible form of the disease [1–3]. The molecular mechanism allowing dormancy is not fully understood due the lack of experimental systems that can closely mimic human latent infections [1]. In the granuloma, dormancy is hypothesized to occur in response to low oxygen, stress and lack of nutrients [1]. Experimental evidences suggest that, within the granuloma, the in vivo environment where dormant mycobacteria persist, the oxygen concentration is the limiting factor for bacterial growth and the condition that induces dormancy.

Ecography 25:109–119CrossRef”
“Introduction Recently McNeely

Ecography 25:109–119CrossRef”
“Introduction Recently McNeely et al. (2009) identified what they, as the Asia Section of the Society for Conservation Biology, saw as the main challenges to biodiversity conservation in Asia. They noted that Asia is going through an interesting but challenging age because economic development is spreading quickly in many countries (most notably the substantial investments in infrastructure in India and China) with cities expanding rapidly in most countries, and identified curbing the trade in endangered species of plants and animals and using conservation biology to build a better understanding of Autophagy Compound Library cost the spread

of zoonotic diseases (this being intrinsically linked to PCI-34051 cost Wildlife trade) as two of these main challenges. The impact of unsustainable and ill-regulated wildlife trade in Southeast Asia, and the importance of curbing it, was furthermore recently highlighted by two World Bank initiated reports (Grieser-Johns and Thomson 2005; TRAFFIC 2008). Southeast Asia—including China’s international borders and parts of Indonesia—has been identified as a ‘wildlife trade hotspots’ i.e. a region where wildlife trade poses a disproportional large threat (Davies 2005; TRAFFIC 2008; see also Sodhi et al. 2004). Wildlife trade includes all sales or exchanges of wild animal and plant resources by people,

and is the very heart Crenolanib mouse of biodiversity conservation and sustainable development (Broad et al. 2003; Abensperg-Traun 2009). Wildlife trade involves live animals and plants or a diverse range of products needed or prized by humans—including skins, medicinal ingredients, food—and may provide an income for some of the least economically affluent people and generates considerable revenue nationally (Ng and Tan 1997; Shunichi 2005; TRAFFIC 2008). The primary motivating factor for wildlife traders is economic, ranging from small-scale local income generation to major profit-oriented business. While most wildlife is traded locally, and

the majority nationally (that is within the political borders of a country or state) there is a Branched chain aminotransferase large volume of wildlife that is traded internationally (Green and Shirley 1999; Wood 2001; Stoett 2002; Auliya 2003; WCS and TRAFFIC 2004; Blundell and Mascia 2005; Schlaepfer et al. 2005; Nijman and Shepherd 2007). Between collectors of wildlife and the ultimate users, any number of middlemen may be involved in the wildlife trade, including specialists involved in storage, handling, transport, manufacturing, industrial production, marketing, and the export and retail businesses, and these may operate both domestically and internationally (TRAFFIC 2008). Intrinsically linked to economic growth the demand for wildlife has increased, and, exacerbated by ongoing globalisation, the scale and extent of wildlife trade likewise may have enlarged.

Interestingly, it was observed that

Interestingly, it was observed that SIAH-1 levels increased slightly during S-G2-M phases. SIAH-1 mediates Kid/KIF22 degradation via the ubiquitin-proteasome pathway and the balance between synthesis and degradation of these proteins influences the correct achievement of mitosis [3]. In the present study we observed a deregulation of both SIAH-1 SAR302503 manufacturer and Kid/KIF22 proteins in tumor breast tissues, changing from a localized expression to a more diffuse pattern throughout the cell. Kid/KIF22 showed a different expression pattern in tumors compared to the normal tissue counterparts. Interestingly, in normal cells the protein was mostly localized in perinuclear

areas whilst in malignant cells the expression was more diffuse and the punctuate staining pattern was mostly nuclear, possibly related to increased mitotic activity of these cells. In both the normal and tumor tissues we observed a similar cellular distribution pattern of both SIAH-1 and Kid/KIF22 staining consistent with previously described interaction and functional regulation between these two proteins. The mRNA level of SIAHs and Kid/KIF22

showed an important variation among analyzed samples. In samples from the same patient, in most cases, SIAH-1 mRNA was down-regulated in tumoral breast tissues compared to surrounding normal breast tissues. Similar results about SIAH-1 expression have been reported in hepatocellular carcinomas [26, 35], indicating that SIAH-1 mRNA expression is frequently reduced in malignant tissues compared to normal tissues. Matsuo et al. [26] observed that SIAH-1 was down-regulated in the majority of HCCs analyzed by Astemizole semiquantitative Selleck Entinostat RT-PCR, and SIAH-1 was not up-regulated in any of the cancerous tissues studied. It was also described using semiquantitative RT-PCR that SIAH-1 expression was lower in six hepatoma cell lines, compared to normal liver tissue [35]. Our study underlines the importance of relating the results of gene expression obtained by qRT-PCR to protein expression and the patterns of subcellular localization. Given its structural similarity and possible

redundant function with SIAH-1 we also analyzed the expression of SIAH-2 mRNA in our samples (data not shown). Although the median of mRNA copies of SIAH-2 was higher in normal than in tumour breast tissues, its expression was only decreased in half of tumour tissues compared to its normal counterpart. These different profiles BAY 80-6946 suggest that pathways implicated in the control of the expression of these two members of the SIAH family could be different. Kid/KIF22 mRNA expression showed also important differences among the samples. However, more interesting was the observed correlation between Kid/KIF22 mRNA variations between normal and tumor tissues when compared to SIAH-1 mRNA variations suggesting an additional regulation step at the level of gene transcription for these two interlinked proteins, in addition to the previously established mechanisms for protein stability.

All authors read and approved the final manuscript “

All authors read and approved the final manuscript.”
“Background The Gram-negative anaerobe Porphyromonas gingivalis is an important periodontal pathogen. Amongst the most common infections of humans, periodontal diseases are a group of inflammatory conditions that lead to the destruction of

the supporting tissues of the teeth [1] and may be associated with serious systemic conditions, including coronary artery disease and preterm delivery of low birth weight infants [2]. P. gingivalis is a highly invasive intracellular oral pathogen Cell Cycle inhibitor [3] that enters gingival epithelial cells through manipulation of host cell signal transduction and remains resident in the perinuclear area for extended periods without causing host cell death [4]. The intracellular location appears to be an integral part of the organism’s lifestyle this website and may contribute to persistence in the oral cavity. Epithelial cells can survive for prolonged periods post infection [5] and epithelial cells recovered from the oral cavity show high levels of intracellular P. gingivalis [6, 7]. Intracellular P. gingivalis is also capable of spreading between host cells [8]. We have previously

reported a whole-cell quantitative proteomic analysis of the change in P. gingivalis between Atazanavir extracellular and intracellular lifestyles [9]. P. gingivalis strain ATCC 33277 internalized within human

gingival epithelial cells (GECs) was compared to strain ATCC 33277 exposed to gingival cell culture medium. The analysis focused on well-known or suspected virulence factors such as adhesins and proteases and employed the genome annotation of P. gingivalis strain W83. In order to be effective, quantitative proteomic analysis requires that mass spectometry results be matched to an annotated genome sequence to specifically identifiy the detected proteins. At the time, the only available whole genome annotation for P. gingivalis was that of strain W83 [10]. Recently, the whole genome sequence of P. gingivalis strain ATCC 33277 was published [11]. We re-analyzed the proteomics data using the P. gingivalis strain ATCC 33277 genome annotation. Use of the strain specific genome annotation Selleckchem PF2341066 increased the number of detected proteins as well as the sampling depth for detected proteins. As the quantitative accuracy of whole genome shotgun proteomics is dependent on sampling depth [12] the new analysis was expected to provide a more accurate representation of the changes in protein relative abundance between intracellular and extracellular lifestyles.