Home
Frode Berven's picture

Frode Berven

Professor, Deputy Head of Department
  • E-mailFrode.Berven@uib.no
  • Phone+47 55 58 67 43+47 991 63 866
  • Visitor Address
    Jonas Lies vei 91
  • Postal Address
    Postboks 7804
    5020 Bergen

Dr. Frode S. Berven (Ph.D.) is the head of the Proteomics Unit at the University of Bergen.

Berven completed his Masters degree at Department of Molecular Biologi, UiB, Ph.D. in bioinformatics at the Department of Informatics, UiB, and post doctor at the Institute of Medicine, UiB, and at the Proteomics Platform at the Broad Institute of MIT and Harvard.

He is working in the field of mass spectrometry based quantitative proteomics with emphaisis on biomarker disocovery and verification in cerebrospinal fluid of patients with multiple sclerosis.

1.      A    Berle M, Wester KG, Ulvik RJ, Kroksveen AC, Haaland OA, Amiry-Moghaddam M, Berven FS, Helland CA. “Arachnoid cysts do not contain cerebrospinal fluid: A comparative chemical analysis of arachnoid cyst fluid and cerebrospinal fluid in adults.” Cerebrospinal fluid research,  2010 June 10;7:8.

2.      A    Rajalahti T, Kroksveen AC, Arneberg R, Berven FS, Vedeler CA, Myhr KM, Kvalheim OM. “A multivariate approach to reveal biomarker signatures for disease classification: application to mass spectral profiles of cerebrospinal fluid from patients with multiple sclerosis.” Journal of Proteome Research, 2010 July 2;9(7):3608-20.

3.      A    Berven FS. Ahmad R. Clauser K. Carr SA. “Optimizing performance of glycopeptides capture for plasma proteomics”. Journal of Proteome Research, 2010 April 5;9(4):1706-15.

4.      A    Teunissen CE, Tumani HT, Bennett JL, Berven FS, ++, Deisenhammer F, Giovannoni G. “Short commentary on 'a consensus protocol for the standardization of cerebrospinal fluid collection and biobanking'. Multiple Sclerosis, 2010; 16(2) 129-32.

5.      A    Teunissen CE, Tumani HT, JL. Bennett, FS. Berven, ++, M. Comabella, D., C. Wolf, H. Tumani, B. Hemmer, F. Deisenhammer. “A consensus protocol for standardisation of CSF sampling and biobanking”. Neurology, 2009;73;1914-1922.

6.      A    Tumani H, Hartung HP, Hemmer B, Teunissen C, Deisenhammer F, Giovannoni G, Zettl UK, Altintas A, Bennett JL, Berven FS, Petzold A, Rajda C, Rejdak K, van Pesch V, Waubant E. “Cerebrospinal fluid biomarkers in multiple sclerosis”. Neurobiol Dis. 2009 Aug;35(2):117-27.

7.      A    Rajalahti T. Arneberg R. Berven FS. Myhr KM. Ulvik RJ. Kvalheim OM. “Biomarker discovery in mass spectral profiles by means of selectivity ratio plot”. Chemometrics and Intelligent Laboratory Systems. 2008 August

8.      A    Målen, H. Berven, FS. Søfteland, T. Arntzen, ØM. D’Santos, C. Wiker, H. “Membrane- and membrane associated proteins in Triton X-114 extracts of Mycobacterium bovis BCG identified using a combination of gel-based and gel-free fractionation strategies”. Proteomics. 2008 may 8(9) 1859-70.

9.      A    Rajalahti, T. Arneberg, R. Berven, FS. Kroksveen, AC. Berle, M. Flikka, K. Myhr, KM. Vedeler, C. Kvalheim, OM. Ulvik, RJ. “Pretreatment of mass spectral profiles: Application to proteomic data”. Analytical Chemistry. 2007 August 79 (18) 7014-7026.

10.   A    Berven, FS. Kroksveen, AC. Berle, M. Flikka, K. Myhr, KM. Vedeler, C. Arneberg, R. Rajalahti, T. Kvalheim, OM. Ulvik, RJ. “Pre-analytical influence on the low molecular weight cerebro spinal fluid proteome”. Proteomics Clinical Applications. 2007 July 1(7) 699-711. Selected as an “In this issue” highlighted article.

11.   A    Målen, H. Berven, FS. Fladmark, K. Wiker, H. “Comprehensive analysis of exported proteins from Mycobacterium tuberculosis H37Rv”.  Proteomics. 2007 May 7(10) 1702-18. Selected as an “In this issue” highlighted article.

12.   A    Aukrust I, Evensen L, Hollas H, Berven F, Atkinson RA, Trave G, Flatmark T, Vedeler A. “Engineering, biophysical  characterization and binding properties of a soluble mutant form of annexin A2 domain IV that adopts a partially folded conformation”. Journal of molecular biology. 2006 Oct 20;363(2):469-81.

13.   A    Berven FS, Flikka K, Berle M, Vedeler C, Ulvik RJ. “Proteomic-based biomarker discovery with emphasis on cerebrospinal fluid and multiple sclerosis”. Curr Pharm Biotechnol. 2006 Jun;7(3):147-58. Review.

14.   A    Berven, FS. Karlsen, OA. Straume, AH. Flikka, K. Murrell, JC. Lillehaug, JR. Fjellbirkeland, A. Eidhammer, I. Jensen, HB. ”Analysing the outer membrane subproteome of Methylococcus capsulatus (Bath) using proteomics and novel biocomputing tools”. Arch Microbiol. 2006 Feb;184(6):362-77. Epub 2005 Nov 26.

15.   A    Karlsen, OA. Ramsevik, L. Bruseth, LJ. Larsen O. Brenner, A. Berven, FS. Jensen, HB. Lillehaug, JR. “Characterization of a prokaryotic haemerythrin from the methanotrophic bacterium Methylococcus capsulatus (Bath)”. FEBS journal 2005, Volume 272, Issue10, Pages 2428-2440.

16.   A    Berven, FS. Flikka, K. Jensen, HB. Eidhammer, I. “BOMP: a program to predict integral b-barrel outer membrane proteins encoded within genomes of Gram-negative bacteria”. Nucleic Acids Research 2004, Volume 32, Web Server Issue, Pages W394-399.

17.   A    Karlsen, OA. Berven, FS. Stafford, GP. Larsen, O. Murrell, JC. Jensen, HB. Fjellbirkeland, A. “The surface-associated and secreted MopE protein of Methylococcus capsulatus (Bath) responds to changes in the concentration of copper in the growth medium”. Applied Environmental Microbiology, April 2003, Volume 69, Issue 4, Pages 2386-2388.

18.   A    Berven, FS. Karlsen OA. Murrell, JC. Jensen, HB. “Multiple polypeptide forms observed in two-dimensional gels of Methylococcus capsulatus (Bath) polypeptides are generated during the separation procedure”. Electrophoresis, February 2003, Volume 24, Issue 4, Pages 757-761.

 

  • 2020. The progression of acute myeloid leukemia from first diagnosis to chemoresistant relapse: A comparison of proteomic and phosphoproteomic profiles. Cancers. 1-13.
  • 2020. Proteome and Phosphoproteome Changes Associated with Prognosis in Acute Myeloid Leukemia. Cancers.
  • 2020. Development of robust targeted proteomics assays for cerebrospinal fluid biomarkers in multiple sclerosis. Clinical Proteomics. 1-21.
  • 2019. The capacity of long-term in vitro proliferation of acute myeloid leukemia cells supported only by exogenous cytokines is associated with a patient subset with adverse outcome. Cancers. 1-22.
  • 2019. Quantitative proteomic analyses of CD4+ and CD8+ T cells reveal differentially expressed proteins in multiple sclerosis patients and healthy controls.
  • 2019. Quantitative proteomic analyses of CD4+ and CD8+ T cells reveal differentially expressed proteins in multiple sclerosis patients and healthy controls . Clinical Proteomics. 1-18.
  • 2019. Proteomic profiling of primary human acute myeloid leukemia cells does not reflect their constitutive release of soluble mediators. Proteomes. 1-10.
  • 2019. Proteome and phosphoproteome changes associated with prognosis in acute myeloid leukemia. bioRxiv - the preprint server for biology.
  • 2019. Protein post-translational modification crosstalk in acute myeloid leukemia calls for action. 5317-5337.
  • 2019. Essential Features and Use Cases of the Cerebrospinal Fluid Proteome Resource (CSF-PR). 15 pages.
  • 2019. Effects of insulin and pathway inhibitors on the PI3K-Akt-mTOR phosphorylation profile in acute myeloid leukemia cells. Signal Transduction and Targeted Therapy.
  • 2019. Effect of disease-associated SLC9A9 mutations on protein–protein interaction networks: implications for molecular mechanisms for ADHD and autism. ADHD Attention Deficit and Hyperactivity Disorders. 91-105.
  • 2019. Detecting single amino acids and small peptides by combining isobaric tags and peptidomics. European Journal of Mass Spectrometry.
  • 2019. Characterization of glomerular extracellular matrix in IgA nephropathy by proteomic analysis of laser-captured microdissected glomeruli. BMC Nephrology. 1-12.
  • 2019. A rapid triage test for active pulmonary tuberculosis in adult patients with persistent cough. Science Translational Medicine.
  • 2018. Two acute myeloid leukemia patient subsets are identified based on the constitutive PI3K-Akt-mTOR signaling of their leukemic cells; a functional, proteomic and transcriptomic comparison. Expert opinion on therapeutic targets. 639-653.
  • 2018. Proteomic profiling of lung immune cells reveals dysregulation of phagocytotic pathways in female-dominated molecular COPD phenotype. Respiratory Research.
  • 2018. Proteomic profiling of T cells from multiple sclerosis patients and healthy controls.
  • 2018. Proteomic profiling of CD4+ and CD8+ T cells from multiple sclerosis patients and healthy controls.
  • 2018. Proteomic profiling of CD4+ and CD8+ T cells from multiple sclerosis patients and healthy controls.
  • 2018. Proteomic profiling of CD4+ T cells from MS patients show increased activity of T cell activation pathways (compared to healthy controls) .
  • 2018. Long-term smoking alters abundance of over half of the proteome in bronchoalveolar lavage cell in smokers with normal spirometry, with effects on molecular pathways associated with COPD. Respiratory Research.
  • 2018. Development and Use of Mass Spectrometry Based Quantitative Proteomics Assays for Multiple Sclerosis Biomarker Candidates.
  • 2017. Rethinking the role of osteopontin in human acute myeloid leukemia. Leukemia and Lymphoma. 1494-1497.
  • 2017. Quantitative proteomics analysis reveals perturbation of lipid metabolic pathways in the liver of Atlantic cod (Gadus morhua) treated with PCB 153. Aquatic Toxicology. 19-28.
  • 2017. Proteogenomics approaches for studying cancer biology and their potential in the identification of acute myeloid leukemia biomarkers. 649-663.
  • 2017. Phosphoprotein DIGE profiles reflect blast differentiation, cytogenetic risk stratification, FLT3/NPM1 mutations and therapy response in acute myeloid leukaemia. Journal of Proteomics. 32-41.
  • 2017. Integrative transcriptome and proteome analysis reveals perturbation of lipid metabolic pathways in the liver of Atlantic cod (Gadus morhua) treated with PCB 153.
  • 2017. In-depth cerebrospinal fluid quantitative proteome and deglycoproteome analysis: presenting a comprehensive picture of pathways and processes affected by multiple sclerosis. Journal of Proteome Research. 179-194.
  • 2017. Glomerular abundance of complement proteins characterized by proteomic analysis of laser-captured microdissected glomeruli associates with progressive disease in IgA nephropathy. Clinical Proteomics.
  • 2017. Fast hyperbaric decompression after heliox saturation altered the brain proteome in rats. PLOS ONE. 1-16.
  • 2017. Epac1-deficient mice have bleeding phenotype and thrombocytes with decreased GPIbβ expression. Scientific Reports. 1-15.
  • 2017. Anatomy and evolution of database search engines—a central component of mass spectrometry based proteomic workflows. 292-306.
  • 2017. 1,25-Dihydroxyvitamin-D3 induces brain proteomic changes in cuprizone mice during remyelination involving calcium proteins. Neurochemistry International. 262-277.
  • 2016. Visualization, Inspection and Interpretation of Shotgun Proteomics Identification Results. 10 pages.
  • 2016. Using Proteomics Bioinformatics Tools and Resources in Proteogenomic Studies. Advances in Experimental Medicine and Biology. 65-75.
  • 2016. The Brain Proteome of the Ubiquitin Ligase Peli1 Knock-Out Mouse during Experimental Autoimmune Encephalomyelitis. Journal of Proteomics & Bioinformatics.
  • 2016. Tandem Mass Spectrum Sequencing: An Alternative to Database Search Engines in Shotgun Proteomics. 10 pages.
  • 2016. Systemic Analysis of Regulated Functional Networks. Methods in molecular biology. 287-310.
  • 2016. Reliable FASP-based procedures for optimal quantitative proteomic and phosphoproteomic analysis on samples from acute myeloid leukemia patients. Biological Procedures Online. 1-10.
  • 2016. Quantitative analyses of the hepatic proteome of methylmercury-exposed Atlantic cod (Gadus morhua) suggest oxidative stress-mediated effects on cellular energy metabolism. BMC Genomics. 1-15.
  • 2016. Proteomic Analysis of Minimally Damaged Renal Tubular Tissue from Two-Kidney-One-Clip Hypertensive Rats Demonstrates Extensive Changes Compared to Tissue from Controls. Nephron. 70-80.
  • 2016. Proteome and deglycopeptide analyses of neurologically healthy and multiple sclerosis affected cerebrospinal fluid: Mass spectrometry experiments, literature mining and data sharing .
  • 2016. Practical considerations for omics experiments in biomedical sciences. Current Pharmaceutical Biotechnology. 105-114.
  • 2016. Mass spectrometry-based proteome quantification in leukemic cells from acute myeloid leukemia patients.
  • 2016. Label-free analysis of human cerebrospinal fluid addressing various normalization strategies and revealing protein groups affected by multiple sclerosis. Proteomics. 1154-1165.
  • 2016. Interpretation of Quantitative Shotgun Proteomic Data. 14 pages.
  • 2016. Integrative -omics analyses reveal perturbation of lipid metabolic pathways in the liver of Atlantic cod (Gadus morhua) exposed to the persistent organic pollutant PCB 153.
  • 2016. Integrated analysis of transcriptome and proteome reveals perturbation of lipid metabolic pathways in the liver of Atlantic cod (Gadus morhua) treated with the persistent organic pollutant PCB 153 .
  • 2016. Glycopeptide analysis and glycan structure inference from mass spectrometry data-Investigating the potential of computational glycan structure analysis in biomedical research.
  • 2016. Global cell proteome profiling, phospho-signaling and quantitative proteomics for identification of new biomarkers in acute myeloid leukemia patients. Current Pharmaceutical Biotechnology. 52-70.
  • 2016. Freezing effects on the acute myeloid leukemia cell proteome and phosphoproteome revealed using optimal quantitative workflows. Journal of Proteomics. 214-225.
  • 2016. Exploring the potential of public proteomics data. 214-225.
  • 2016. Database Search Engines: Paradigms, Challenges and Solutions. 10 pages.
  • 2016. CSF-PR 2.0: an interactive literature guide to quantitative cerebrospinal fluid mass spectrometry data from neurodegenerative disorders. Molecular & Cellular Proteomics. 300-309.
  • 2016. A Simple Workflow for Large Scale Shotgun Glycoproteomics. 12 pages.
  • 2015. Viewing the proteome: How to visualize proteomics data? 1341-1355.
  • 2015. Use of ENCODE resources to characterize novel proteoforms and missing proteins in the human proteome. Journal of Proteome Research. 603-608.
  • 2015. The EuPA Biobank Initiative: Meeting the future challenges of biobanking in proteomics & systems medicine. Journal of Proteomics. 414-416.
  • 2015. Quantitative proteomics suggests decrease in the secretogranin-1 cerebrospinal fluid levels during the disease course of multiple sclerosis. Proteomics. 3361-3369.
  • 2015. PeptideShaker enables reanalysis of MS-derived proteomics data sets. Nature Biotechnology. 22-24.
  • 2015. In vitro transcription/translation system: A versatile tool in the search for missing proteins. 3441-3451.
  • 2015. Erratum to: Association of chromosome 19 to lung cancer genotypes and phenotypes. Cancer Metastasis Review. 227-227.
  • 2015. Distributed and interactive visual analysis of omics data. Journal of Proteomics. 78-82.
  • 2015. Cerebrospinal fluid proteomics in multiple sclerosis. Biochimica et Biophysica Acta - Proteins and Proteomics. 746-756.
  • 2015. Association of chromosome 19 to lung cancer genotypes and phenotypes. Cancer Metastasis Review. 217-226.
  • 2014. Shedding light on black boxes in protein identification. Proteomics. 1001-1005.
  • 2014. Proteomic analysis of formalin-fixed paraffin-embedded glomeruli suggests depletion of glomerular filtration barrier proteins in two-kidney one-clip hypertensive rats. Nephrology, Dialysis and Transplantation. 11 pages.
  • 2014. Performance of super-SILAC based quantitative proteomics for comparison of different acute myeloid leukemia (AML) cell lines. Proteomics. 1971-1976.
  • 2014. Molecular mechanisms of nutlin-3 involve acetylation of p53, histones and heat shock proteins in acute myeloid leukemia. Molecular Cancer.
  • 2014. Label-free proteomics analysis of plasma to discover proteins with differential abundance between multiple sclerosis patients and controls.
  • 2014. Integrated chromosome 19 transcriptomic and proteomic data sets derived from glioma cancer stem-cell lines. Journal of Proteome Research. 191-199.
  • 2014. In-depth characterization of the cerebrospinal fluid (CSF) proteome displayed through the CSF proteome resource (CSF-PR). Molecular & Cellular Proteomics. 3152-3163.
  • 2014. Exploring the human plasma proteome for humoral mediators of remote ischemic preconditioning - A word of caution. PLOS ONE.
  • 2014. Establishment and usage of quantitative brain proteomics to investigate the role of Peli1 E3 ubiquitin ligase in the EAE mouse model of multiple sclerosis.
  • 2014. Effects of blood contamination and the rostro-caudal gradient on the human cerebrospinal fluid proteome. PLOS ONE.
  • 2014. Carboxyl-ester lipase maturity-onset diabetes of the young disease protein biomarkers in secretin-stimulated duodenal juice. Journal of Proteome Research. 521-530.
  • 2014. Bioinformatics for Proteomics: Opportunities at the interface between the scientists, their experiments and the community. 10 pages.
  • 2013. Quantitative proteomics comparison of arachnoid cyst fluid and cerebrospinal fluid collected perioperatively from arachnoid cyst patients. Fluids and Barriers of the CNS.
  • 2013. Proteomic analysis of outer and juxtamedullary cortex of non-clipped kidneys in 2K1C hypertensive rats. The FASEB Journal. 1 pages.
  • 2013. Discovery and initial verification of differentially abundant proteins between multiple sclerosis patients and controls using iTRAQ and SID-SRM. Journal of Proteomics. 312-325.
  • 2013. Developments in biobanking workflow standardization providing sample integrity and stability. Journal of Proteomics. 38-45.
  • 2013. Consensus definitions and application guidelines for control groups in cerebrospinal fluid biomarker studies in multiple sclerosis. Multiple Sclerosis. 1802-1809.
  • 2013. Chromosome 19 annotations with disease speciation: a first report from the Global Research Consortium. Journal of Proteome Research. 134-149.
  • 2012. Use of stable isotope dimethyl labeling coupled to selected reaction monitoring to enhance throughput by multiplexing relative quantitation of targeted proteins. Analytical Chemistry. 4999-5006.
  • 2012. Minimization of side reactions during Lys Tag derivatization of C-terminal lysine peptides. Analytica Chimica Acta. 101-107.
  • 2012. Mass spectrometry-based proteomics of human cerebrospinal fluid Biomarker discovery and verification in multiple sclerosis.
  • 2012. Glycoproteomics in Human Cerebrospinal Fluid Mapping the CSF Proteome, and Biomarker Discovery and Qualification in Multiple Sclerosis.
  • 2012. Global proteomic analyses of fish leukocytes during pathogen infections.
  • 2012. Cerebrospinal fluid proteome comparison between multiple sclerosis patients and controls. Acta Neurologica Scandinavica. 90-96.
  • 2011. compomics-utilities: an open-source Java library for computational proteomics. BMC Bioinformatics. 5 pages.
  • 2011. The field of proteomics in Norway. Public Service Review : European Union.
  • 2011. SearchGUI: An open-source graphical user interface for simultaneous OMSSA and X!Tandem searches. Proteomics. 996-999.
  • 2011. Proteomics of human cerebrospinal fluid: Discovery and verification of disease biomarker candidates in neurodegenerative diseases using quantitative proteomics. 371-388.
  • 2011. Proteomics in Cerebrospinal fluid: Finding proteins highly enriched in CSF, proteins influenced by the rostro-caudal gradient, and biomarker verification in Multiple Sclerosis.
  • 2011. Protein profiling reveals inter-individual protein homogeneity of arachnoid cyst fluid and high qualitative similarity to cerebrospinal fluid. Fluids and Barriers of the CNS.
  • 2011. Methylococcus capsulatus (Bath): From Genome to Protein Function, and Vice Versa. 63-79.
  • 2011. METHANOTROPH OUTER MEMBRANE PREPARATION. 167-176.
  • 2011. IsobariQ: Software for isobaric quantitative proteomics using IPTL, iTRAQ and TMT.
  • 2011. IsobariQ: Software for Isobaric Quantitative Proteomics using IPTL, iTRAQ, and TMT. Journal of Proteome Research. 913-920.
  • 2011. A proteomics study of Cerebrospinal fluid in relation to biomarker discovery and verification in Multiple Sclerosis, with emphasis on the effect of pre-analytical factors.
  • 2011. A monoclonal antibody distinguishes between two IgM heavy chain isotypes in Atlantic salmon and brown trout: Protein characterization, 3D modeling and epitope mapping. Molecular Immunology.
  • 2010. Short commentary on 'a consensus protocol for the standardization of cerebrospinal fluid collection and biobanking'. Multiple Sclerosis. 129-132.
  • 2010. Optimizing performance of glycopeptide capture for plasma proteomics. Journal of Proteome Research. 1706-1715.
  • 2010. Arachnoid cysts do not contain cerebrospinal fluid: A comparative chemical analysis of arachnoid cyst fluid and cerebrospinal fluid in adults. Cerebrospinal Fluid Research.
  • 2010. A multivariate approach to reveal biomarker signatures for disease classification: application to mass spectral profiles of cerebrospinal fluid from patients with multiple sclerosis. Journal of Proteome Research. 3608-3620.
  • 2010. A consensus protocol for the standardisation of cerebrospinal fluid collection and biobanking. Laboratoriums Medizin. 1-12.
  • 2009. Discovery of novel diagnostic biomarker candidates for multiple sclerosis through clinical proteomics.
  • 2009. Cerebrospinal fluid biomarkers in multiple sclerosis. Neurobiology of Disease. 117-127.
  • 2009. Biomarker discovery in mass spectral profiles by means of selectivity ratio plot. Chemometrics and Intelligent Laboratory Systems. 35-48.
  • 2009. A consensus protocol for the standardization of cerebrospinal fluid collection and biobanking. 1914-1922.
  • 2008. Membrane- and membrane-associated proteins in Triton X-114 extracts of Mycobacterium bovis BCG identified using a combination of gel-based and gel-free fractionation strategies.
  • 2008. Membrane- and membrane-associated proteins in Triton X-114 extracts of Mycobacterium bovis BCG identified using a combination of gel-based and gel-free fractionation strategies.
  • 2008. Membrane- and membrane associated proteins in Triton X-114 extracts of Mycobacterium bovis BCG identified using a combination of gel-based and gel-free fractionation strategies. Proteomics. 1859-1870.
  • 2008. Early diagnosis and biomarker discovery from mass spectral profiles: application to multiple sclerosis. Multiple Sclerosis. S285-S285.
  • 2008. Biomarker discovery from mass spectral profiles: A combined proteomics and multivariate analysis. European Journal of Pharmaceutical Sciences. S27-S27.
  • 2007. Target projection and proper data pre-treatment for the analysis of proteomic profiles.
  • 2007. Proteomics applied on cerebrospinal fluid, with focus on methods development and candidate biomarker discovery in multiple sclerosis patients.
  • 2007. Pretreatment of mass spectral profiles: Application to proteomic data. Analytical Chemistry. 7014-7026.
  • 2007. Preteatment of Mass Spectral Profiles: Application to proteomic data.
  • 2007. Pre-analytical influence on the low molecular weight cerebrospinal fluid proteome. PROTEOMICS - Clinical Applications. 699-711.
  • 2007. Comprehensive analysis of exported proteins from Mycobacterium tuberculosis H37Rv. Proteomics. 1702-1718.
  • 2007. Analysis of Proteomic Profiles.
  • 2006. Proteomic-based biomarker discovery with emphasis on cerebrospinal fluid and multiple sclerosis. 147-158.
  • 2006. Late breaker: Revealing the secreted proteome of Mycobacterium tuberculosis H37Rv.
  • 2006. Engineering, biophysical characterisation and binding properties of a soluble mutant form of annexin A2 domain IV that adopts a partially folded conformation. Journal of Molecular Biology (JMB). 469-481.
  • 2006. Comparing the protein identifications obtained using two-dimensional gel electrophoresis or liquid chromatography mass spectrometry on the secreted proteome of Mycobacterium tuberculosis.
  • 2006. Analysing the outer membrane subproteome of Methylococcus capsulatus (Bath) using proteomics and novel biocomputing tools. Archives of Microbiology. 362-377.
  • 2005. Characterisation of a prokaryotic hemerythrin from the methanotrophic bacterium Methylococcus capsulatus (Bath). The FEBS Journal. 2428-2440.
  • 2005. Analysing the outer membrane and subproteome of Methylococcus capsulatus (Bath) using proteomics and bioinformatics.
  • 2004. Methylococcus capsulatus (Bath); Molecular analyses of a surface exposed heteromultimeric protein complex.
  • 2004. BOMP: a program to predict integral beta-barrel outer membrane proteins encoded within genomes of Gram-negative bacteria. Nucleic Acids Research. W394-W399.
  • 2003. The surface-associated and secreted MopE protein of Methylococcus capsulatus (Bath) responds to changes in the concentration of copper in the growth medium. Applied and Environmental Microbiology. 2386-2388.
  • 2003. The expression of the surface associated MopE protein of Methylococcus capsulatus (Bath) is regulated by the concentration of copper in the growth medium.
  • 2003. Proteome studies on the methanotrophic bacterium Methylococcus capsulatus (Bath).
  • 2003. Multiple polypeptide forms observed in twodimensional gels of Methylococcus capsulatus (Bath)polypeptides are generated during the separation procedure.
  • 2003. Multiple polypeptide forms observed in two-dimensional gels of Methylococcus capsulatus (Bath) polypeptides are generated during the separation procedure. Electrophoresis. 757-761.
  • 2003. Identification of the ORF upstream of MopE in Methylococcus capsulatus.
  • 2003. Differential expression in sMMO and pMMO producing cells of Methylococcus capsulatus (Bath).
  • 2002. Initial proteome studies on Methylococcus capsulatus (Bath).
  • 2002. Initial proteome studies of Methylococcus capsulatus (Bath).
  • 2002. Characterization of copper-repressible extracellular protein of Methylococcus capsulatus (Bath).
  • 2002. Analysis of two IgM isotypes in Atlantic salmon and brown trout. Molecular Immunology. 313-321.
  • 2001. The establishement and use of 2-dimensional gel electrophoresis in proteome studies of Methylococcus capsulatus(Bath).

More information in national current research information system (CRIStin)

Research groups