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Dive into the research topics where Karin Hjernø is active.

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Featured researches published by Karin Hjernø.


Nature Communications | 2011

Convergent evolution in biosynthesis of cyanogenic defence compounds in plants and insects

Niels Bjerg Jensen; Mika Zagrobelny; Karin Hjernø; Carl Erik Olsen; Jens Houghton-Larsen; Jonas Borch; Birger Lindberg Møller; Søren Bak

For more than 420 million years, plants, insects and their predators have co-evolved based on a chemical arms race including deployment of refined chemical defence systems by each player. Cyanogenic glucosides are produced by numerous plants and by some specialized insects and serve an important role as defence compounds in these intimate interactions. Burnet moth larvae are able to sequester cyanogenic glucosides from their food plant as well as to carry out de novo biosynthesis. Here we show that three genes (CYP405A2, CYP332A3 and UGT33A1) encode the entire biosynthetic pathway of cyanogenic glucosides in the Burnet moth Zygaena filipendulae. In both plants and insects, convergent evolution has led to two multifunctional P450 enzymes each catalysing unusual reactions and a glucosyl-transferase acting in sequence to catalyse cyanogenic glucoside formation. Thus, plants and insects have independently found a way to package a cyanide time bomb to fend off herbivores and predators.


Allergy | 2004

Bet v 1 homologues in strawberry identified as IgE-binding proteins and presumptive allergens

Anne-Li Karlsson; Rikard Alm; Bo Ekstrand; Stina Fjelkner-Modig; Åsa Schiött; Ulf Bengtsson; Lars Björk; Karin Hjernø; Peter Roepstorff; Cecilia Emanuelsson

Background:  No strawberry allergen has so far been identified and characterized.


Diabetologia | 2004

Changes in expression of IL-1β influenced proteins in transplanted islets during development of diabetes in diabetes-prone BB rats

Thomas Sparre; U. Bjerre Christensen; Carsten F. Gotfredsen; P. Mose Larsen; Stephen J. Fey; Karin Hjernø; Peter Roepstorff; Flemming Pociot; Allan E. Karlsen; Jørn Nerup

Aims/hypothesisType 1 diabetes mellitus is a multifactorial autoimmune disease characterised by selective destruction of beta cells in the islets of Langerhans. We have previously shown that IL-1β modulates beta cell function, causes beta cell death and induces expression changes in 82 out of 1815 protein spots detected by two-dimensional gel electrophoresis (2-DGE) in diabetes-prone bio-breeding (BB-DP) rat islets in vitro. The aim of this study was to describe the relevance of these proteins in the development of diabetes in vivo.MethodsSyngeneic neonatal islets (n=200) were transplanted under the kidney capsule of 30-day-old BB-DP and control rats, removed to different time points after transplantation or at the onset of diabetes, and metabolically labelled with S35-methionine for 2-DGE. The 82 proteins were re-localised and followed. In addition, transplants were examined for expression of IL-1β mRNA by in situ hybridisation.ResultsAll 82 proteins could be re-localised in all syngeneic transplants from BB-DP and control rats. A total of 60 of the 82 proteins were changed during development of diabetes. Of the 82 proteins, 32 were changed in expression at the onset of diabetes compared to non-diabetic BB-DP rats, and 25 of these were changed as by IL-1β in vitro. Highest expression of IL-1β mRNA was found at the onset of diabetes.Conclusions/interpretationIL-1β-induced protein expression changes in islets in vitro also occur in vivo and change in a complex pattern during the development of diabetes in the BB-DP rat. No single protein seems to be responsible for the development of diabetes, but rather the cumulative numbers of changes seem to interfere with the intracellular stability of the beta cell.


Acta Crystallographica Section D-biological Crystallography | 2013

Camel and Bovine Chymosin: The Relationship between Their Structures and Cheese-Making Properties.

Jesper Langholm Jensen; Anne Mølgaard; Jens Christian Navarro Poulsen; Marianne Kirsten Harboe; Jens B. Simonsen; Andrea Maria Lorentzen; Karin Hjernø; Johannes Maarten Van Den Brink; Karsten Bruun Qvist; Sine Larsen

Analysis of the crystal structures of the two milk-clotting enzymes bovine and camel chymosin has revealed that the better milk-clotting activity towards bovine milk of camel chymosin compared with bovine chymosin is related to variations in their surface charges and their substrate-binding clefts.


Journal of Separation Science | 2010

Characterization of sialylated and fucosylated glycopeptides of β2-glycoprotein I by a combination of HILIC LC and MALDI MS/MS

Akira Kondo; Morten Thaysen-Andersen; Karin Hjernø; Ole Nørregaard Jensen

Characterization of low microgram levels of glycoprotein remains a challenge due to extensive heterogeneity of the conjugated N-glycans at each individual glycosylation site. We present an optimized, sensitive workflow for glycopeptide isolation and characterization that exploits the complementary features of RP (Poros R2) and hydrophilic (zwitter-ionic hydrophilic interaction chromatography) chromatographic resins. The glycopeptide analysis workflow was applied to human beta2-glycoprotein I (beta2-GPI, apolipoprotein H), which contains multiple N-glycosylation sites. Conditions for rapid proteolytic digestion of beta2-GPI using low-specificity proteases were optimized to detect beta2-GPI glycopeptides by MS. We demonstrate the importance of ensuring sufficient column capacity of both hydrophobic and hydrophilic stationary phases for optimal glycoprofiling by MS. The enriched glycopeptides were characterized using MALDI quadrupole TOF MS/MS. A total of 23 glycan structures, including sialylated bi- and tri-antennary complex type glycans, were characterized at three N-glycosylation sites, namely Asn-143, Asn-174 and Asn-234, of beta2-GPI. Further exploration of the complementary nature of RP and HILIC stationary phases for glycopeptide isolation prior to MS analysis may eventually enable systematic analysis of complex glycoprotein samples in functional proteomic research and advance our understanding of the biological role of protein glycosylation.


Journal of Proteomics | 2012

Insights into physiological traits of Bifidobacterium animalis subsp. lactis BB-12 through membrane proteome analysis

Ofir Gilad; Karin Hjernø; Eva Christina Østerlund; Abelardo Margolles; Birte Svensson; Birgitte Stuer-Lauridsen; Anders Möller; Susanne Jacobsen

Bifidobacterium animalis subsp. lactis BB-12 is a widely used probiotic strain associated with a variety of health-promoting traits. There is, however, only limited knowledge available regarding the membrane proteome and the proteins involved in oligosaccharide transport in BB-12. We applied two enrichment strategies to improve the identification of membrane proteins from BB-12 cultures grown on glucose and on xylo-oligosaccharides, the latter being an emerging prebiotic substrate recently reported to be fermented by BB-12. Our approach encompassed consecutive steps of detergent- and carbonate-treatment in order to generate inside-out membrane vesicles and to interfere with binding of membrane-associated proteins to the membrane, respectively. Proteins in the enriched membrane fraction and membrane-associated fraction were digested by lysyl endopeptidase and trypsin followed by peptide sequencing by LC-ESI-Q-TOF MS/MS. Ninety of a total of 248 identified unique proteins were predicted to possess transmembrane segments (TMSs), and 56 of these have more than one TMS. Seventy-nine of the identified proteins are annotated to be involved in transport of amino acids, oligosaccharides, inorganic ions, nucleotides, phosphate or exopolysaccharides, or to belong to the F1F0-ATP-synthetase complex and the protein translocation machinery, respectively.


Methods of Molecular Biology | 2007

Protein identification by peptide mass fingerprinting

Karin Hjernø

Peptide mass fingerprinting is an effective way of identifying, e.g., gel-separated proteins, by matching experimentally obtained peptide mass data against large databases. However, several factors are known to influence the quality of the resulting matches, such as proteins contaminating the sample in question, modifications altering the mass of the peptides, ionization efficiency of the individual peptides, and the degree of missed cleavage sites. Here, these factors are discussed and methods for elimination of contaminants from the dataset and prediction of various modifications are introduced. Useful tips on how to specify various search parameters and how to manually evaluate the search results are also given.


Journal of Microbiological Methods | 2015

SILAC-based comparative analysis of pathogenic Escherichia coli secretomes

Anders Boysen; Jonas Borch; Thøger Jensen Krogh; Karin Hjernø; Jakob Møller-Jensen

Comparative studies of pathogenic bacteria and their non-pathogenic counterparts has led to the discovery of important virulence factors thereby generating insight into mechanisms of pathogenesis. Protein-based antigens for vaccine development are primarily selected among unique virulence-related factors produced by the pathogen of interest. However, recent work indicates that proteins that are not unique to the pathogen but instead selectively expressed compared to its non-pathogenic counterpart could also be vaccine candidates or targets for drug development. Modern methods in quantitative proteome analysis have the potential to discover both classes of proteins and hence form an important tool for discovering therapeutic targets. Adherent-invasive Escherichia coli (AIEC) and Enterotoxigenic E. coli (ETEC) are pathogenic variants of E. coli which cause intestinal disease in humans. AIEC is associated with Crohns disease (CD), a chronic inflammatory condition of the gastrointestinal tract whereas ETEC is the major cause of human diarrhea which affects hundreds of millions annually. In spite of the disease burden associated with these pathogens, effective vaccines conferring long-term protection are still needed. In order to identify proteins with therapeutic potential, we have used mass spectrometry-based Stable Isotope Labeling with Amino acids in Cell culture (SILAC) quantitative proteomics method which allows us to compare the proteomes of pathogenic strains to commensal E. coli. In this study, we grew the pathogenic strains ETEC H10407, AIEC LF82 and the non-pathogenic reference strain E. coli K-12 MG1655 in parallel and used SILAC to compare protein levels in OMVs and culture supernatant. We have identified well-known virulence factors from both AIEC and ETEC, thus validating our experimental approach. In addition we find proteins that are not unique to the pathogenic strains but expressed at levels different from the commensal strain, including the colonization factor YghJ and the surface adhesin antigen 43, which is involved in pathogenesis of other Gram-negative bacteria. The described method provides a framework for further understanding E. coli pathogenesis but can also be applied to interrogate relative protein expression levels of other pathogens that have non-pathogenic counterparts thereby facilitating the discovery of new vaccine targets.


Archive | 2004

Peak Erazor: A Windows-Based Program for Improving Peptide Mass Searches

Karin Hjernø; Peter Højrup

Since its introduction in 1993, peptide mass fingerprinting (PMF) based on matrix-assisted laser desorption/ionisation mass spectrometry (MALDI-MS) has become a standard method in proteomics for the identification of proteins (Mann, 1993; Yates, 1993; Henzel, 1993; James, 1993; Pappin, 1993). Although a number of parameters like protein size and pl are also used by PMF search programs, the main parameter for obtaining a positive identification is to locate a sufficient number of peptides that match the theoretical peptides in a given protein database.


Methods of Molecular Biology | 2007

Calibration of Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Peptide Mass Fingerprinting Spectra

Karin Hjernø; Peter Højrup

This chapter describes a number of aspects important for calibration of matrix-assisted laser desorption/ionization time-of-flight spectra prior to peptide mass fingerprinting searches. Both multipoint internal calibration and mass defect-based calibration is illustrated. The chapter describes how potential internal calibrants, like tryptic autodigest peptides and keratin-related peptides, can be identified and used for high-precision calibration. Furthermore, the construction of project/user-specific lists of potential calibrants is illustrated.

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Peter Roepstorff

University of Southern Denmark

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Jonas Borch

University of Southern Denmark

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Peter Højrup

University of Southern Denmark

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Ole Nørregaard Jensen

University of Southern Denmark

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