MBMarc Van Den Bulcke

Marc Van Den Bulcke

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article

Previous Organizations / Institutes

The organizations / institutes from the scholar's other articles in the past ten years


Marc Van Den Bulcke has a total of 35 co-authors. Here are the top co-authors by number of shared publications:

  • Guy Van Den Eede

    European Commission Joint Research Centre, Institute for Health and Consumer Protection, Molecular Biology and Genomics Unit, Ispra (VA), Italy

    2 shared publications
  • A. Lievens

    Division of Biosafety and Biotechnology, Scientific Institute of Public Health, J. Wytsmanstreet 14, 1050 Brussels, Belgium

    1 shared publication
  • Annette Block

    Bavarian Health and Food Safety Authority (LGL), Oberschleißheim, Germany

    1 shared publication
  • C. Savini

    Molecular Biology and Genomics Unit, Institute for Health and Consumer Protection, European Commission Joint Research Centre, Ispra (VA), Italy

    1 shared publication
  • D. De Bernardi

    Division of Biosafety and Biotechnology, Scientific Institute of Public Health, Brussels, Belgium

    1 shared publication
  • Dafni-Maria Kagkli

    Molecular Biology and Genomics Unit, European Commission, Joint Research Centre, Institute for Health and Consumer Protection, via E. Fermi 2749, I‐21027 Ispra, VA, Italy

    1 shared publication

Latest Publications

  • Open Access

    The GMOseek matrix: a decision support tool for optimizing the detection of genetically modified plants

    by Annette Block, Frédéric Debode, Lutz Grohmann, Julie Hulin, Isabel Taverniers, Linda Kluga, Elodie Barbau-Piednoir, Sylvia Broeders, Ingrid Huber, Marc Van Den Bulcke, et al.

    Background: Since their first commercialization, the diversity of taxa and the genetic composition of transgene sequences in genetically modified plants (GMOs) are constantly increasing. To date, the detection of GMOs and derived products is commonly performed by PCR-based methods targeting specific DNA sequences introduced into the host genome. Information available regarding the GMOs’ molecular characterization is dispersed and not appropriately organized. For this reason, GMO testing is very challenging and requires more complex screening strategies and decision making schemes, demanding in return the use of efficient bioinformatics tools relying on reliable information. Description: The GMOseek matrix was built as a comprehensive, online open-access tabulated database which provides a reliable, comprehensive and user-friendly overview of 328 GMO events and 247 different genetic elements (status: 18/07/2013). The GMOseek matrix is aiming to facilitate GMO detection from plant origin at different phases of the analysis. It assists in selecting the targets for a screening analysis, interpreting the screening results, checking the occurrence of a screening element in a group of selected GMOs, identifying gaps in the available pool of GMO detection methods, and designing a decision tree. The GMOseek matrix is an independent database with effective functionalities in a format facilitating transferability to other platforms. Data were collected from all available sources and experimentally tested where detection methods and certified reference materials (CRMs) were available. Conclusions: The GMOseek matrix is currently a unique and very valuable tool with reliable information on GMOs from plant origin and their present genetic elements that enables further development of appropriate strategies for GMO detection. It is flexible enough to be further updated with new information and integrated in different applications and platforms.


  • Open Access

    Towards a Pathogenic Escherichia coli Detection Platform Using Multiplex SYBR®Green Real-Time PCR Methods and High Resolution Melting Analysis

    by Dafni-Maria Kagkli, Silvia Folloni, Elodie Barbau-Piednoir, Guy Van Den Eede, Marc Van Den Bulcke

    Escherichia coli is a group of bacteria which has raised a lot of safety concerns in recent years. Five major intestinal pathogenic groups have been recognized amongst which the verocytotoxin or shiga-toxin (stx1 and/or stx2) producing E. coli (VTEC or STEC respectively) have received a lot of attention recently. Indeed, due to the high number of outbreaks related to VTEC strains, the European Food Safety Authority (EFSA) has requested the monitoring of the “top-five” serogroups (O26, O103, O111, O145 and O157) most often encountered in food borne diseases and addressed the need for validated VTEC detection methods. Here we report the development of a set of intercalating dye Real-time PCR methods capable of rapidly detecting the presence of the toxin genes together with intimin (eae) in the case of VTEC, or aggregative protein (aggR), in the case of the O104:H4 strain responsible for the outbreak in Germany in 2011. All reactions were optimized to perform at the same annealing temperature permitting the multiplex application in order to minimize the need of material and to allow for high-throughput analysis. In addition, High Resolution Melting (HRM) analysis allowing the discrimination among strains possessing similar virulence traits was established. The development, application to food samples and the flexibility in use of the methods are thoroughly discussed. Together, these Real-time PCR methods facilitate the detection of VTEC in a new highly efficient way and could represent the basis for developing a simple pathogenic E. coli platform.


  • Open Access

    A Ready-To-Use Multi-Target Analytical System for GM Soy and Maize Detection for Enforcement Laboratories

    by Linda Kluga, Marc Van Den Bulcke, Silvia Folloni, Jean-Michel Gineste, Thomas Weber, Nicoletta Foti, Marco Mazzara, Guy Van Den Eede, Maddalena Querci


  • Open Access

    Use of pJANUS™-02-001 as a calibrator plasmid for Roundup Ready soybean event GTS-40-3-2 detection: an interlaboratory trial assessment

    by A. Lievens, G. Bellocchi, D. De Bernardi, W. Moens, C. Savini, M. Mazzara, G. Van Den Eede, M. Van Den Bulcke

    Owing to the labelling requirements of food and feed products containing materials derived from genetically modified organisms, quantitative detection methods have to be developed for this purpose, including the necessary certified reference materials and calibrator standards. To date, for most genetically modified organisms authorized in the European Union, certified reference materials derived from seed powders are being developed. Here, an assessment has been made on the feasibility of using plasmid DNA as an alternative calibrator for the quantitative detection of genetically modified organisms. For this, a dual-target plasmid, designated as pJANUS™-02-001, comprising part of a junction region of genetically modified soybean event GTS-40-3-2 and the endogenous soybean-specific lectin gene was constructed. The dynamic range, efficiency and limit of detection for the soybean event GTS-40-3-2 real-time quantitative polymerase chain reaction (Q-PCR) system described by Terry et al. (J AOAC Int 85(4):938–944, 2002) were shown to be similar for in house produced homozygous genomic DNA from leaf tissue of soybean event GTS-40-3-2 and for plasmid pJANUS™-02-001 DNA backgrounds. The performance of this real-time Q-PCR system using both types of DNA templates as calibrator standards in quantitative DNA analysis was further assessed in an interlaboratory trial. Statistical analysis and fuzzy-logic-based interpretation were performed on critical method parameters (as defined by the European Network of GMO Laboratories and the Community Reference Laboratory for GM Food and Feed guidelines) and demonstrated that the plasmid pJANUS™-02-001 DNA represents a valuable alternative to genomic DNA as a calibrator for the quantification of soybean event GTS-40-3-2 in food and feed products.