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.
- 2014. Effects of blood contamination and the rostro-caudal gradient on the human cerebrospinal fluid proteome. PLoS ONE. 9. doi: 10.1371/journal.pone.0090429
- 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. doi: 10.1093/ndt/gfu268
- 2014. Molecular mechanisms of nutlin-3 involve acetylation of p53, histones and heat shock proteins in acute myeloid leukemia. Molecular Cancer. 13. doi: 10.1186/1476-4598-13-116
- 2014. Integrated chromosome 19 transcriptomic and proteomic data sets derived from glioma cancer stem-cell lines. Journal of Proteome Research. 13: 191-199. doi: 10.1021/pr400786s
- 2014. Shedding light on black boxes in protein identification. Proteomics. 14: 1001-1005. doi: 10.1002/pmic.201300488
- 2013. Quantitative proteomics comparison of arachnoid cyst fluid and cerebrospinal fluid collected perioperatively from arachnoid cyst patients. Fluids and Barriers of the CNS. 10. doi: 10.1186/2045-8118-10-17
- 2013. Proteomic analysis of outer and juxtamedullary cortex of non-clipped kidneys in 2K1C hypertensive rats. The FASEB Journal. 27:909.15. 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. 78: 312-325. doi: 10.1016/j.jprot.2012.09.037
- 2013. Developments in biobanking workflow standardization providing sample integrity and stability. Journal of Proteomics. 95: 38-45. doi: 10.1016/j.jprot.2013.06.035
- 2013. Chromosome 19 annotations with disease speciation: a first report from the Global Research Consortium. Journal of Proteome Research. 12: 134-149. doi: 10.1021/pr3008607
- 2013. Consensus definitions and application guidelines for control groups in cerebrospinal fluid biomarker studies in multiple sclerosis. Multiple Sclerosis. 19: 1802-1809. doi: 10.1177/1352458513488232
- 2012. Use of stable isotope dimethyl labeling coupled to selected reaction monitoring to enhance throughput by multiplexing relative quantitation of targeted proteins. Analytical Chemistry. 84: 4999-5006. doi: 10.1021/ac300596r
- 2012. Cerebrospinal fluid proteome comparison between multiple sclerosis patients and controls. Acta Neurologica Scandinavica. 126: 90-96. doi: 10.1111/ane.12029
- 2012. Minimization of side reactions during Lys Tag derivatization of C-terminal lysine peptides. Analytica Chimica Acta. 712: 101-107. doi: 10.1016/j.aca.2011.11.017
- 2011. IsobariQ: Software for Isobaric Quantitative Proteomics using IPTL, iTRAQ, and TMT. Journal of Proteome Research. 10: 913-920. doi: 10.1021/pr1009977
- 2011. compomics-utilities: an open-source Java library for computational proteomics. BMC Bioinformatics. 12. 5 pages. doi: 10.1186/1471-2105-12-70
- 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. 8. doi: 10.1186/2045-8118-8-19
- 2011. The field of proteomics in Norway. Public Service Review : European Union. 21.
- 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. doi: 10.1016/j.molimm.2011.05.005
- 2011. Methylococcus capsulatus (Bath): From Genome to Protein Function, and Vice Versa. Methods in Enzymology. 495: 63-79. doi: 10.1016/B978-0-12-386905-0.00005-X
- 2011. METHANOTROPH OUTER MEMBRANE PREPARATION. Methods in Enzymology. 167-176. doi: 10.1016/B978-0-12-386905-0.00011-5
- 2011. Proteomics of human cerebrospinal fluid: Discovery and verification of disease biomarker candidates in neurodegenerative diseases using quantitative proteomics. Journal of Proteomics. 74: 371-388. doi: 10.1016/j.jprot.2010.11.010
- 2011. SearchGUI: An open-source graphical user interface for simultaneous OMSSA and X!Tandem searches. Proteomics. 11: 996-999. doi: 10.1002/pmic.201000595
- 2010. Arachnoid cysts do not contain cerebrospinal fluid: A comparative chemical analysis of arachnoid cyst fluid and cerebrospinal fluid in adults. Cerebrospinal Fluid Research. 7.
- 2010. Optimizing performance of glycopeptide capture for plasma proteomics. Journal of Proteome Research. 9: 1706-1715. doi: 10.1021/pr900845m
- 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. 9: 3608-3620. doi: 10.1021/pr100142m
- 2010. A consensus protocol for the standardisation of cerebrospinal fluid collection and biobanking. Laboratoriums Medizin. 34: 1-12. doi: 10.1515/JLM.2010.001
- 2010. Short commentary on 'a consensus protocol for the standardization of cerebrospinal fluid collection and biobanking'. Multiple Sclerosis. 16: 129-132. doi: 10.1177/1352458509356368
- 2009. Biomarker discovery in mass spectral profiles by means of selectivity ratio plot. Chemometrics and Intelligent Laboratory Systems. 95: 35-48. doi: 10.1016/j.chemolab.2008.08.004
- 2009. A consensus protocol for the standardization of cerebrospinal fluid collection and biobanking. Neurology. 73: 1914-1922. doi: 10.1212/WNL.0b013e3181c47cc2
- 2009. Cerebrospinal fluid biomarkers in multiple sclerosis. Neurobiology of Disease. 35: 117-127. doi: 10.1016/j.nbd.2009.04.010
- 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. 8: 1859-1870. doi: 10.1002/pmic.200700528
- 2008. Biomarker discovery from mass spectral profiles: A combined proteomics and multivariate analysis. European Journal of Pharmaceutical Sciences. 34: S27-S27. doi: 10.1016/j.ejps.2008.02.068
- 2008. Early diagnosis and biomarker discovery from mass spectral profiles: application to multiple sclerosis. Multiple Sclerosis. 14: S285-S285. doi: 10.1177/1352458508096399
- 2007. Pretreatment of mass spectral profiles: Application to proteomic data. Analytical Chemistry. 79: 7014-7026. doi: 10.1021/ac070946s
- 2007. Pre-analytical influence on the low molecular weight cerebrospinal fluid proteome. PROTEOMICS - Clinical Applications. 1: 699-711. doi: 10.1002/prca.200700126
- 2007. Comprehensive analysis of exported proteins from Mycobacterium tuberculosis H37Rv. Proteomics. 7: 1702-1718. doi: 10.1002/pmic.200600853
- 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. 363: 469-481. doi: 10.1016/j.jmb.2006.08.042
- 2006. Proteomic-based biomarker discovery with emphasis on cerebrospinal fluid and multiple sclerosis. Current Pharmaceutical Biotechnology. 7: 147-158.
- 2006. Analysing the outer membrane subproteome of Methylococcus capsulatus (Bath) using proteomics and novel biocomputing tools. Archives of Microbiology. 184: 362-377.
- 2005. Characterisation of a prokaryotic hemerythrin from the methanotrophic bacterium Methylococcus capsulatus (Bath). The FEBS Journal. 272: 2428-2440.
- 2004. BOMP: a program to predict integral beta-barrel outer membrane proteins encoded within genomes of Gram-negative bacteria. Nucleic Acids Research. 32: W394-W399. doi: 10.1093/nar/gkh351
- 2003. Multiple polypeptide forms observed in two-dimensional gels of Methylococcus capsulatus (Bath) polypeptides are generated during the separation procedure. Electrophoresis. 24: 757-761.
- 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. 69: 2386-2388.
- 2002. Analysis of two IgM isotypes in Atlantic salmon and brown trout. Molecular Immunology. 39: 313-321.
- 2005. Analysing the outer membrane and subproteome of Methylococcus capsulatus (Bath) using proteomics and bioinformatics. 72 pages.
- 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)
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.