ISSN: 0974-276X
Journal of Proteomics & Bioinformatics
Like us on:
Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business

Discovery of Infectious Disease Biomarkers in Murine Anthrax Model Using Mass Spectrometry of the Low-Molecular-Mass Serum Proteome

Aarthi Narayanan1, Weidong Zhou2, Mark Ross2, Jane Tang3, Lance Liotta2, Emanuel Petricoin2, Fatah Kashanchi4, Charles Bailey1, Serguei Popov1*
1National Center for Biodefense and Infectious Diseases
2Center for Proteomics and Molecular Medicine, George Mason University, 10900 University Blvd, Manassas, Virginia – 20110-2201
3Noblis, 3150 Fairview Park Drive, Falls Church, Virginia – 22042
4The George Washington University, 2121 Street, NW, Washington, DC 20052
Corresponding Author : Dr. Serguei Popov
George Mason University,
10900 University Blvd, Manassas,
Virginia – 20110-2201,
Tel      : 703 993 4713,
Received September 23, 2009; Accepted September 29, 2009; Published September 30, 2009
Citation: Narayanan A, Zhou W, Ross M, Tang J, Liotta L, et al. (2009) Discovery of Infectious Disease Biomarkers in Murine Anthrax Model Using Mass Spectrometry of the Low-Molecular-Mass Serum Proteome. J Proteomics Bioinform 2:408-415. doi:10.4172/jpb.1000101
Copyright: © 2009 Narayanan A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Related article at
DownloadPubmed DownloadScholar Google

Visit for more related articles at Journal of Proteomics & Bioinformatics

Anthrax; Biomarkers; Proteome; Mass spectrometry
MS: Mass spectrometry; BM: Biomarker
Anthrax is a serious bacterial infection of humans and many animal species caused by Bacillus anthracis. Effective prophylaxis and treatment of inhalational and gastrointestinal anthrax remain a challenging task in spite of the modern advances in the antimicrobial therapies and vaccines. A quick progression of the disease takes place without specific clinical symptoms, and patients often seek medical help at the stage of disseminated infection, which historically has been highly lethal regardless of the treatment (Holty et al., 2006). The mortality rate in the U.S. inhalational anthrax attack in 2001 was reduced to 55%, which still remains unacceptably high, underscoring the need for new therapies and early diagnostics (CDC,2001; Jernigan et al., 2001). Identification of biomarkers (BMs), which can serve as diagnostic tools, and indicators of pathological process has become an active area of research in recent years. However, little information is currently available about potential anthrax BMs. The presence of the bacterial protective antigen in host serum has been suggested to be a useful BM in case of an exposure event (Hammamieh et al., 2008; Kobiler et al., 2006). Alterations in host gene profiles following an exposure to B. anthracis have also been pursued as a means of identification (Das et al., 2008). While all of the above methods offer the ability to successfully identify the pathogen in the case of an infection, no systematic effort has been reported to discover BMs relevant to the host response at various stages of anthrax progression.
In the current report we chose to test in a murine model a novel mass spectrometry (MS)-based approach for the identification of host-derived BMs in the circulating blood proteome that utilizes continuous flow denaturing electrophoresis to isolate and enrich the low molecular mass (LMM) analyte pool prior to MS analysis. This approach, while being successfully applied to cancer biomarker discovery (Camerini et al., 2007), has not been used for infectious disease biomarker discovery. While pathogen-derived BMs can offer a high degree of specificity, low abundance of such BMs at the early stages of infection may represent a considerable problem for a timely diagnosis. In contrast, host-derived BMs relevant to the innate immune response, or generated by host cell changes immediately following exposure to the infectious agent or agent-derived analytes, could undergo significant biological “amplification” by host response cycles during the early stage of infection and therefore may have a distinct advantage over pathogen-derived BMs. An intrinsic broad-spectrum nature of the host-derived BMs may also be useful for a quick triaging of patients for further specific analyses.
Blood is often a primary choice for a BM discovery because it is expected to comprehensively reflect the health state of the organism associated with a systemic disease such as anthrax and can be easily procured. However, a global analysis of the blood proteome is a challenging task, especially in the case of high-molecular-mass or low-abundance proteins. Recently, the low-molecular-mass (LMM) proteome/peptidome of blood has received attention for BM discovery because of the potential that small proteins and fragments of larger proteins produced in the disease microenvironment can appear in the bloodstream by freely crossing the endothelial cell barrier (Anderson and Anderson, 2002; Faca et al., 2008; Liotta et al., 2003; Petricoin et al., 2006) or produced within the circulation as part of the innate infectious process. MS is a powerful and a sensitive approach that has been employed in discovery of BMs relevant to prostate and ovarian cancers and other non-neoplastic diseases such as Alzheimer’s disease (Diamandis, 2004; Geho et al., 2006; Ornstein et al., 2004; Petricoin et al., 2002; Petricoin, 2003; Sardana et al., 2008). We suggested that MS, which is most sensitive in the range of analytes with molecular mass < 25 kDa, would be especially suitable for the discovery of LMM host-derived BMs of infectious diseases.
Initially, we identified a large number of preliminary BM candidates correlating with the progression of murine anthrax and virulence in comparative challenge experiments with virulent and non-virulent B. anthracis strains. Several proteins from the MS analysis were verified using western blots. Finally, we demonstrated that these proteins are remarkably “elastic” in that their abundance levels in serum respond to antibiotic therapeutic intervention, thus opening up additional avenues for use of these BMs in monitoring efficacies of treatment regimens.
Materials and Methods
Animal Experiments
Female DBA/2J mice were purchased from Jackson Laboratory (Bar Harbor, ME) and maintained at Biocon Inc. (Rockville, MD). Animals were allowed to acclimate to their surroundings for one week before experiments were performed. The George Mason University Institutional Animal Care and Use Committee and Biocon Animal Care and Use Committee/Institutional Review Board have approved all protocols that were used in the animal experiments. Mice were challenged intraperitoneally (i.p) with a water suspension of 5 x 106 spores of B. anthracis non-encapsulated Sterne strain 34F2 (pXO1+, pXO2-) or the nontoxigenic delta Sterne strain (pXO1-, pXO2-). Eight mice were used per Sterne strain challenge group, and three mice per group in all other experiments. The Sterne and the delta Sterne strains were obtained from Colorado Serum Company (Boulder, CO) and National Center for Biodefense and Infectious Diseases (Manassas, VA), respectively (Bradburne et al., 2008). For MS studies, mice were sacrificed at 24, 48 and 72 hours post exposure, and 200 to 500 µl of blood were drawn from each animal via retro-orbital sinus. Blood samples were allowed to clot overnight at 4°C and sera were separated by two centrifugations at 400g for 10 min each. Samples from each group corresponding to a given time point were pooled for MS analysis. For studies of the individual animal responses, blood was obtained from the tail vein. At the end of the experimental period the surviving animals were terminally bled as described above. Doxycycline (Sigma) was administered i.p. on days 1 to 4 post infection at the dose of 10 mg/kg of body weight in sterile water. Control groups were injected with sterile water only.
Sample Preparation and Nanoflow Reversed-phase Liquid Chromatography Tandem MS
LMM proteins were fractionated using a Prep Cell gel electrophoresis device from BioRad and the fractions were then used for electrophoresis by SDS-PAGE (4-20% Tris-glycine, Invitrogen). After Coomassie staining using standard procedures, each lane of the gel was sliced into 4 parts in order to reduce the complexity of further analysis. For each piece, in-gel digestion was performed using trypsin, and the resultant peptides were eluted from the gel (Camerini et al.,2007; Sardana et al., 2008; Shevchenko et al.,1996) for analysis by a reversed-phase liquid chromatography nanospray tandem MS using high-resolution LTQ-Orbitrap spectrometer (ThermoFisher). The reversephase column was slurry-packed in-house with 5 µm, 200-Å pore size C18 resin (Michrom BioResources, CA) in 100 µm × 10 cm fused silica capillary (Polymicro Technologies, Phoenix, AZ) with a laser-pulled tip. After sample injection the column was washed for 5 min at 200 nl/min with 0.1% formic acid, peptides were eluted using a 50-min linear gradient from 0 to 40% acetonitrile and an additional step of 80% acetonitrile (all in 0.1% formic acid) for 5 min. The LTQ-Orbitrap MS was operated in a data-dependent mode in which each full MS scan was followed by five MS-MS scans where the five most abundant molecular ions were dynamically selected and fragmented by collision-induced dissociation (CID) using normalized collision energy of 35%. Tandem mass spectra were matched against the National Center for Biotechnology Information mouse database through the Sequest Bioworks software (ThermoFisher) using full tryptic cleavage constraints and static cysteine alkylation by iodoacetamide. For a peptide to be considered legitimately identified, it had to be the top number one matched and had to achieve cross correlation scores of 1.9 for [M+H]1+, 2.2 for [M+2H]2+, 3.5 for [M+3H]3+, DCn > 0.1, and a maximum probability of randomized identification of 0.01. The MS data were filtered to improve the quality of the data set prior to BM selection. The initial set of proteins was limited to those that could be confidently identified, and further screened to remove proteins with few non-zero peptide hits. The peptide hit numbers were normalized on the scale of 0 to 1, and proteins with high inter-sample abundance variability were excluded from consideration. For further analysis, MS data were classified into 10 groups based on common patterns of expression using Kmeans cluster analysis performed using the data mining took Weka (Witten, Frank 2005).
Western Blot Analysis
Total protein concentration of the serum samples was determined by using colorimetric Bradford reagent (BioRad) and a Microquant plate reader (Bio-Tek Instruments, Inc.). Bovine serum albumin was used as standard. Serum samples were mixed with a 2X SDS-PAGE loading buffer and protease inhibitors (Inhibitor cocktail from Sigma, Catalogue number P8340) boiled for 10 min, separated in 4-12% bis-Tris gels (Invitrogen), and the proteins were electro-transferred to nitrocellulose membranes (Invitrogen). The membranes were probed with primary antibodies from Abcam against carbonic anhydrase 2 (CA2), adenylate kinase 1 (AK1), peroxyredoxin 2 (PRX2), UMP-CMP kinase (UCK), destrin (DST), ceruloplasmin (CP) ADP ribosylation factor (ARF), Necdin and Serum amyloid A (SAA), antibody against Ubiquitin conjugating enzyme E2N (UBE2N) from Genway, and antibody from BD Transduction Laboratories against Ras-related C3 botulinum substrate 1 (RAC1). The secondary HRP-conjugated antibodies were goat anti-rabbit (in the case of CA2, Prx2, UCK, Dstn, SAA, necdin, UBE2N) (Pierce), goat anti-mouse (in the case of AK1, Rac1 and ARF) (Pierce), and rabbit anti-sheep (in the case of Cp) (Abcam). The membranes were developed using ECL SuperSignal West Femto Substrate (Thermo Scientific) and visualized using BioRad Molecular Imager Gel Doc™ XR instrument running Quantity One software (Version 4.6.3).
Identification of Differentially Expressed LMM Protein BM Candidates
Mice were infected with spores of either the toxigenic Sterne strain or the non-toxigenic delta Sterne strain of Bacillus anthracis in order to identify LMM blood-borne BMs that are specific to the toxigenic exposure. The Sterne strain is lethal in DBA/2 mice, while the delta Sterne strain causes a self-limiting infectious process due to the absence of the toxigenic plasmid. We therefore expected that a comparison of serum protein profiles between mice challenged with these strains would help reveal the BMs specific for the virulent infection and therefore distinct from the general innate responses common to different infectious agents. In the conditions of our experiments, the Sterne strain infectious process is characterized by an onset of mortality beginning day 3-post challenge. Therefore, blood samples taken at this time are likely to closely reflect pre-mortal conditions of challenged animals. At later time points, a quick progression of disease makes it difficult to collect a sufficient number of samples and may even result in skewed data due to analyses of survived mice representing a cohort of animals with higher resistance. Serum samples from the infected mice taken during the course of infection at 0, 24, 48 and 72 h post challenge were pooled and the LMM protein fraction with a molecular mass below 25kDa was separated by a preparative cell gel electrophoresis with the aid of a molecular marker run alongside. The preparative cell gel electrophoresis was used as the method of choice as it offers higher accuracy of separation and prevents loss of sample during the fractionation procedure when compared with cut-off spin filters (Camerini et al., 2007). The gel was cut into four pieces, and proteins from each of the gel regions were subjected to an in-gel digestion with trypsin followed by high-mass-accuracy LC-MS-MS as described in Materials and Methods. It is important to note that the peptides identified in the tryptic hydrolysates have originated either from the intact protein molecules present in the sample, their fragments generated in the course of the infectious process, or degradation of the sample during its preparation (Yi et al., 2007). The resultant spectra were analyzed using Sequest Bioworks software. Spectral counting has been used as an approach to estimate relative abundances of differentially expressed candidate proteins (Faca et al., 2008). To reduce the impact of noise on BM selection, proteins with low spectral counts were screened out of the 1200 total identified proteins. 213 proteins with 10 or more total peptide hits were selected for further evaluation. Owing to the elaborate nature of the experiment, the indicated MS data set that was obtained from one MS run was analyzed for inter-sample variability to estimate reliability. As an estimate of the data variability, for each protein the standard deviations of hits for control mock-injected mice at 0 time point were found and normalized by dividing by the hit counts averaged across all time point readings. 208 proteins showing relatively low variance between 0 and 1.5 were subjected to further analysis. Supplementary Table shows the identity of the first 100 proteins sorted by the highest difference between the total numbers of Sterne and delta Sterne hits relative to Sterne ones in order to reveal the proteins with the property to respond to virulent infection by Sterne strain but not to abortive, self-limiting infection by delta Sterne strain. K-means cluster analysis performed using the data for 208 proteins with low variance identified proteins that displayed common trends in their responses to the infection. This also helped to further narrow the number of BM candidates. MS data were first normalized to a scale from 0 to 1 by dividing all peptide hit numbers for a protein by the highest value among all time points. Following normalization, delta Sterne hit values for each protein were subtracted from Sterne values and sorted into 10 groups based on the maximum similarity within members of each group and maximum distance between the centers of the groups.
Ten proteins from our MS results, namely carbonic anhydrase 2 (CA2), adenylate kinase 1 (AK1), peroxyredoxin 2 (PRX2), UMP-CMP kinase (UCK), destrin (DST), ceruloplasmin (CP), Ras-related C3 botulinum substrate 1 (RAC1), Necdin, ADP ribosylation factor (ARF), Serum amyloid A (SAA) and ubiquitin conjugating enzyme E2N were chosen for confirmatory studies with western blots based on the (i) strong trends in our cluster analyses, (ii) low variance between multiple samples, (iii) commercial availability of highly-specific antibodies. In order to account for the variability of responses between animals, all further analyses were carried out with blood samples obtained from individual mice. From the list of 10 candidate BMs, 6 proteins displayed an expected increase in serum level as a result of the lethal Sterne exposure, but did not increase in mice exposed to the non-lethal anthrax strain (Fig. 1A). Quantitative reflections of Fig. 1A for all tested samples normalized by the total protein concentration of the serum are presented in Fig. 1B. The MS spectra corresponding to these proteins were also subjected to manual verification to confirm their identification (Supplemental Fig. S1). While levels of CA2 and AK1 increased considerably upon exposure to toxigenic strain, PRX2 and UCK were moderate responders, RAC1 showed a moderate to a weak response and DST was a weak responder. The trend in reflected Fig. 2 correlated strongly with physical symptoms of established anthrax disease prior to death (data not shown). The Table shows the results of 3 independent challenge experiments in which blood samples drawn from each individual mouse were tested with a panel of antibodies against the selected BM candidates. PRX2, UCK, and CA2 are the most reliable BM candidates. Although more vigorous analysis would be necessary for the potential BM to be accepted for clinical practice, the results of Table indicate that simultaneous analysis of these three proteins could be a reliable indicator of infection with a false negative rate below 1%.
Effect of Antibiotic Intervention on Serum Protein BM Profiles
BMs for monitoring the progress of treatment and host recovery process are highly desirable. We tested if the BMs we identified were suitable for these purposes. Sterne-infected mice were treated with the antibiotic doxycycline starting one day post exposure for up to 5 days. Doxycycline is the antibiotic of choice for treatment of human anthrax and is highly effective in protection of mice up to 48 h post lethal exposure to B. anthracis (S. Popov, unpublished observation). A group of uninfected control mice was also treated with antibiotic to control for its direct effect on the levels of BMs. Blood samples from tail vein were obtained for each mouse. All Sterne-exposed mice that were not treated with the antibiotic succumbed to the infection by 5 days post the initial exposure, while all treated Sterne-exposed mice survived. As shown in Fig. 2, all tested BMs in the Sterne-exposed antibiotic-treated mice displayed serum levels similar to those in control unexposed mice receiving the antibiotic only. Ceruloplasmin (CP) was used as a negative control attesting to the specificity of the observations with the positive BM candidates.
In the present study we employed a novel LMM enrichment and isolation strategy using continuous flow electrophoresis coupled to MS to explore a utility of the LMM proteome for the discovery of host-derived infectious disease BMs. We focused our discovery efforts on the identification of candidate BMs specific to a murine anthrax model whereby toxigenic and nontoxigenic strain responses were compared. The fact that a LMM fraction of serum proteome displayed an altered composition in response to infection is an important proof of principle that this source contains significant information reflecting the health state of organism and can be tapped for the BM discovery in blood samples of human patients.
Our results revealed peptides corresponding to a large number of proteins with a wide range of abundances. We performed extensive verification of six proteins to confirm the alterations in abundances in response to the lethal Sterne strain. Although our evaluation was focused on the proteins with highest number of spectra, which have been generally shown to be wellcorrelating with protein levels (Faca et al., 2008) independent MS experiments (not shown) confirmed a reproducible identification of analytes with low peptide hits, thus indicating a possibility to further explore a large number of low-abundant analytes. K-means cluster analysis of the MS data proved useful to categorize proteins into distinct response groups during the selection of candidate BMs such as those with a sustained increase in the lethally-infected mice relative to the survivors. While the selected BMs were validated with reasonable success rate using western blots as early as 24 h post infection, they also displayed an elastic nature in their responsiveness to the antibiotic treatment. As the sensitivity of the immunoassays could be further increased, the human analogs with similar properties could be quite useful in a clinical setting. Significantly, a panel of the three most reliable BMs, namely CA2 (about 10 fold increase), PRX (about 5 fold increase), and UCK (about 5 fold increase), is expected to have a low false-negative rate.
The appearance of these BMs in the serum proteome following exposure to Bacillus anthracis provides some insights regarding the mechanism of anthrax pathogenesis. CA2 is a physiologically important enzyme that among other functions catalyzes the reversible hydration of carbondioxide to bicarbonate. There are several possible explanations for the increased abundance of CA2 in anthrax. Acidosis is observed in the case of anthrax pathogenesis in humans (Mina et al., 2002), and CA2 might be an important contributor in the regulation of pH homeostasis. The proinflammatory cytokine IL-1 upregulated during anthrax infection in mice is known to increase expression of CA2 in murine cell lines (Popov et al., 2004). Alternatively, increased bicarbonate levels in the host are required for the expression of B. anthracis virulence factors (Klichko et al., 2003; Wilson et al., 2008). In support of the CA2 role in anthrax pathogenesis, inhibitors that prevent the interconversion of carbon dioxide and bicarbonate significantly affect virulence of Streptococcus, Clostridium botulinum and Vibrio cholerae (Wilson et al., 2008).
PRX2, RAC1, and DST are either directly or indirectly involved in oxidative stress responses. Oxidative stress responses are likely to be important regulators of Bacillus anthracis virulence
and infectivity (Shatalin et al., 2008). RAC1 is a key component in the regulation of reactive oxygen species (ROS) by the NADPH oxidase complex in phagocytic and nonphagocytic cells with a wide range of functions in the immune and hypoxic responses, oxidative modifications of proteins, etc (Moldovan et al., 2006; Tobar et al., 2008). ROS are emerging as a key regulator of actin-based cellular network remodeling seen in many bacterial infections (Eswarappa et al., 2008; McGhie et al., 2004). Relevant to RAC1, DST is a molecule that is intimately involved in actin-mediated networks and therefore is likely to be influenced by oxidative stress (McGhie et al., 2004). PRX2 is an integral component of the redox system designed to combat the destructive effects of reactive oxygen species (Bindoli et al., 2008; Low et al., 2008). It seems likely that increased expression of PRX2 reflects a development of oxidative stress in anthrax. Along these lines, expression of adenylate kinases essential for meeting the energy demands of tissues in the conditions of stress such an infectious disease is also expected to increase. Although the upregulation of UCK, a cellular enzyme that converts uridine and cytidine monophosphates to diphosphates (Hutter et al., 2000), reflects strong pathophysiological alterations in the host, its link to the mechanism of disease is currently unknown.
It is obvious that not all of the BMs identified in our study are likely to be unique to anthrax. While research in this direction is ongoing, it is important to consider that although several of these proteins are likely to appear in multiple infectious scenarios, specific combinations of them could be unique to a given agent. On the other hand, the advantage of having BMs common to multiple infectious processes is likely to be seen in complex scenarios such as hospital-acquired infections, situations of bioterrorism, where multiple antigens are possible and are likely to be of uncertain origin. Common targets can be monitored to evaluate exposure to infectious bacterial agents. As an added advantage, generic antibiotic treatments can be employed and their effectiveness can be evaluated using the same BMs.
In summary, our LMM-focused blood-borne BM discovery using a novel LMM enrichment and isolation procedure based on continuous flow denaturing electrophoresis coupled with MS as a global proteome tool successfully generated several protein BM candidates displaying altered distribution in the mouse serum proteome during the course of lethal infection. Subsequent verification of selected candidate analytes using Western blotting confirmed the Sterne-specific differential abundance.
Efforts are underway to evaluate relevance of the identified murine BMs to B. anthracis infection in other animal models such as rabbits and non-human primates using virulent challenge strains in blinded validation studies. Follow up comparative studies are also planned to determine the BM appearance in the inhalation anthrax. It would also be very important to validate our BM candidates in the cases of lethal human exposures to anthrax.
This work has been supported by the USA Department of Energy grant DE-FC52-04NA25455 and Noblis Sponsor Research. The authors thank Li Dong for technical assistance with animal experiments and Ann Kennedy for assistance with statistical studies.
  1. Anderson and Anderson (2002) The human plasma proteome: history, character and diagnostic prospects. Mol Cell Proteomics 3: 311-26. »  CrossRef  »  PubMed  »  Google Scholar

  2. Bindoli A, Fukuto JM, Forman HJ (2008) Thiol chemistry in peroxidase catalysis and redox signaling. Antioxid Redox Signal 10: 1549- 64. »  CrossRef  »  PubMed  »  Google Scholar

  3. Bradburne C, Chung MC, Zong Q, Schlauch K, Liu D, (2008) Transcriptional and apoptotic responses of THP-1 cells to challenge with toxigenic, and nontoxigenic Bacillus anthracis. BMC Immunol 9: 67. »  CrossRef  »  PubMed  »  Google Scholar

  4. Camerini, et al. (2007) A method for the selective isolation and enrichment of carrier protein-bound low molecular weight proteins and peptides in blood. Proteomics Clin Appl 1: 176-184. »  CrossRef  »  Google Scholar

  5. CDC (2001) Investigation of bioterrorism-related anthrax and interim guidelines for exposure management and antimicrobial therapy. MMWR 50: 909-919. »   PubMed  

  6. Das R, Hammamieh R, Neill R, Ludwig GV, Eker S, (2008) Early indicators of exposure to biological threat agents using host gene profiles in peripheral blood mononuclear cells. BMC Infect Dis 8: 104. »  CrossRef  »  PubMed  »  Google Scholar

  7. Diamandis EP, (2004) Mass spectrometry as a diagnostic and cancer BM discovery tool: opportunities and potential limitations. Mol Cell Proteomics 3: 367-78. »  CrossRef  »  Google Scholar

  8. Eswarappa SM, Pareek V, Chakravortty D et al. (2008) Role of actin cytoskeleton in LPSinduced NFkB activation and nitric oxide production in murine macrophages. Innate Immun 14: 309-18. »  CrossRef  »  PubMed  »  Google Scholar

  9. Faca VM, Song KS, Wang H, Zhang Q, Krasnoselsky AL, et al. (2008) A mouse to human search for plasma proteome changes associated with pancreatic tumor development. PLoS Med 5: e123. »  CrossRef  »  PubMed  »  Google Scholar

  10. Geho, Liotta LA, Petricoin EF, Zhao W, Araujo RP, (2006)) The amplified peptidome: the new treasure chest of candidate BMs. Curr Opin Chem Biol 10: 50- 5. »  CrossRef  »  PubMed  »  Google Scholar

  11. Geho DH, Liotta LA, Petricoin EF, Zhao W, Araujo RP, (2007) Serum BMs for Alzheimer’s disease: proteomic discovery. Biomed Pharmacother 61: 383-9.

  12. Hammamieh R, Ribot WJ, Abshire TG, Jett M, Ezzell J, (2008) Activity of the Bacillus anthracis 20 kDa protective antigen component. BMC Infect Dis 8: 124. »  CrossRef  »  PubMed  »  Google Scholar

  13. Holty JE, Bravata DM, Liu H, Olshen RA, McDonald KM, (2006) Systematic review: a century of inhalational anthrax cases from 1900 to 2005. Ann Intern Med 144: 270-80. »  CrossRef  »  PubMed  »  Google Scholar

  14. Hutter MC (2000) Phosphoryl transfer by a concerted reaction mechanism in UMP-CMP kinase. Protein Sci 9: 2225- 31. »  CrossRef  »  PubMed  »  Google Scholar

  15. Jernigan JA, Stephens DS, Ashford DA, Omenaca C, Topiel MS, (2001) Bioterrorism-related inhalational anthrax: the first 10 cases reported in the United States. Emerg Infect Dis 7: 933-44. »  CrossRef  »  PubMed  »  Google Scholar

  16. Klichko VI, Miller J, Wu A, Popov SG, Alibek K (2003) Anaerobic induction of Bacillus anthracis hemolytic activity. Biochem Biophys Res Commun 303: 855-62. »  CrossRef  »  PubMed  »  Google Scholar

  17. Klichko VI, Miller J, Wu A, Popov SG, Alibek K, (2006) Protective antigen as a correlative marker for anthrax in animal models. Infect Immun 74: 5871-6. »  CrossRef  »  PubMed  »  Google Scholar

  18. Liotta LA, Ferrari M, Petricoin E (2003) Clinical proteomics: written in blood. Nature 425: 905. »  CrossRef  »  PubMed

  19. Low FM, Hampton MB, Winterbourn CC (2008) Peroxiredoxin 2 and peroxide metabolism in the erythrocyte. Antioxid Redox Signal 10: 1621-30. »  CrossRef  »  PubMed  »  Google Scholar

  20. McGhie EJ, Hayward RD, Koronakis V (2004) Control of actin turnover by Salmonella Invasion Protein. Mol Cell 13: 497-510. »  CrossRef  »  PubMed  »  Google Scholar

  21. Mina B, Dym JP, Kuepper F, Tso R, Arrastia C, (2002) Fatal inhalational anthrax with unknown source of exposure in a 61-year old woman in New York City. JAMA 287: 858-62. »  CrossRef  »  PubMed  »  Google Scholar

  22. Moldovan L, Mythreye K, Goldschmidt-Clermont PJ, Satterwhite LL (2006) Reactive oxygen species in vascular endothelial cell motility. Roles of NAD(P)H oxidase and Rac1. Cardiovasc Res 71: 236-46. »  CrossRef  »  PubMed  »  Google Scholar

  23. Ornstein DK, Rayford W, Fusaro VA, Conrads TP, Ross SJ, (2004) Serum proteomic profiling can discriminate prostate cancer from benign prostates in mental with total prostate specific antigen levels between 2.5 and 15.0 ng/ml. J Urol 172: 1302-5. »  CrossRef  »  PubMed  »  Google Scholar

  24. Petricoin EF, Ardekani AM, Hitt BA, Levine PJ, Fusaro VA, (2002) Use of proteomic patterns in serum to identify ovarian cancer. Lancet 359: 572-7. »  CrossRef  »  PubMed  »  Google Scholar

  25. Petricoin, Liotta (2003) Counterpoint: The vision for a new diagnostic paradigm. Clin Chem 49: 1276-8. »  CrossRef  »  PubMed  »  Google Scholar

  26. Petricoin EF, Belluco C, Araujo RP, Liotta LA (2006) The blood peptidome: a higher dimension of information content for cancer BM discovery. Nat Rev Cancer 6: 961-7. »  CrossRef  »  PubMed

  27. Popov SG, Popova TG, Grene E, Klotz F, Cardwell J,(2004) Systemic cytokine response in murine anthrax. Cell Microbiol 6: 225-33. »  CrossRef  »  PubMed  »  Google Scholar

  28. Sardana, Dowell B, Diamandis EP (2008) Emerging biomarkers for the diagnosis and prognosis of prostate cancer. Clin Chem 54: 1951- 60. »  CrossRef  »  PubMed  »  Google Scholar

  29. Shatalin K, Gusarov I, Avetissova E, Shatalina Y, McQuade LE, (2008) Bacillus anthracis-derived nitric oxide is essential for pathogen virulence and survival in macrophages. Proc Natl Acad Sci USA 105: 1009-13. »  CrossRef  »  PubMed  »  Google Scholar

  30. Shevchenko A, Wilm M, Vorm O, Mann M (1996) Mass spectrometric sequencing of proteins from silver-stained polyacrylamide gels. Anal Chem 68: 850-8. »  CrossRef  »  PubMed  »  Google Scholar

  31. Tobar N, Cáceres M, Santibáñez JF, Smith PC, Martínez J (2008) RAC1 activity and intracellular ROS modulate the migratory potential of MCF-7 cells through a NADPH oxidase and NFkB-dependent mechanism. Cancer Lett 267: 125-32. »  CrossRef  »  PubMed  »  Google Scholar

  32. Wilm M, Shevchenko A, Houthaeve T, Breit S, Schweigerer L, (1996) Femtomole sequencing of proteins from polyacrylamide gels by nano-electrospray mass spectrometry. Nature 379: 466-9. »  CrossRef  »  PubMed  »  Google Scholar

  33. Wilm M, Shevchenko A, Houthaeve T, Breit S, Schweigerer L, (2008) The bicarbonate transporter is essential for Bacillus anthracis lethality. PLoS Pathog 4: e1000210. »  CrossRef  »  PubMed  »  Google Scholar

  34. Witten and Frank (2005) Data mining: Practical machine learning tools and techniques. 2nd Edition. Morgan Kaufmann, San Francisco. »  CrossRef  »   Google Scholar

  35. Yi J, Kim C, Gelfand CA (2007) Inhibition of intrinsic proteolytic activities moderates preanalytical variability and instability of human plasma. J Proteome Res 6: pp1768-1781. »  CrossRef  »  PubMed  »  Google Scholar
Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Relevant Topics

Recommended Conferences

Article Usage

  • Total views: 11286
  • [From(publication date):
    September-2009 - Oct 26, 2016]
  • Breakdown by view type
  • HTML page views : 7544
  • PDF downloads :3742

Post your comment

captcha   Reload  Can't read the image? click here to refresh

OMICS International Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
OMICS International Conferences 2016-17
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

1-702-714-7001Extn: 9037

Business & Management Journals


1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

1-702-714-7001 Extn: 9042

© 2008-2016 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version