The Minimum Information about a Molecular Interaction CAusal STatement (MI2CAST)

Author:

Touré Vasundra1,Vercruysse Steven1,Acencio Marcio Luis2ORCID,Lovering Ruth C3ORCID,Orchard Sandra4,Bradley Glyn5,Casals-Casas Cristina6,Chaouiya Claudine7,del-Toro Noemi4,Flobak Åsmund28,Gaudet Pascale9ORCID,Hermjakob Henning4,Hoyt Charles Tapley10ORCID,Licata Luana11,Lægreid Astrid2,Mungall Christopher J12,Niknejad Anne13,Panni Simona14,Perfetto Livia4,Porras Pablo4,Pratt Dexter15ORCID,Saez-Rodriguez Julio1617ORCID,Thieffry Denis18,Thomas Paul D19ORCID,Türei Dénes17,Kuiper Martin1ORCID

Affiliation:

1. Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim 7491, Norway

2. Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim 7491, Norway

3. Functional Gene Annotation, Preclinical and Fundamental Science, Institute of Cardiovascular Science, UCL, University College London, London WC1E 6JF, UK

4. European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK

5. Computational Biology, Functional Genomics, GSK, Stevenage SG1 2NY, UK

6. Swiss-Prot Group, SIB Swiss Institute of Bioinformatics, 1211 Geneva 4, Switzerland

7. Aix Marseille Univ, CNRS, Centrale Marseille, I2M Marseille 13331, France

8. The Cancer Clinic, St. Olav’s Hospital, Trondheim University Hospital, Trondheim 7030, Norway

9. SIB Swiss Institute of Bioinformatics, Geneva 1211, Switzerland

10. Enveda Therapeutics, 53225 Bonn, Germany

11. Department of Biology, University of Rome Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy

12. Division of Environmental Genomics and Systems Biology, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA

13. Vital-IT Group, SIB Swiss Institute of Bioinformatics, Quartier Sorge, Amphipole Building, 1015 Lausanne, Switzerland

14. Department of Biology, Ecology and Earth Sciences, University of Calabria, Ecology and Earth Science, Via Pietro Bucci Cubo 6/C, Rende 87036, CS, Italy

15. Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA

16. Institute of Computational Biomedicine, Heidelberg University, Faculty of Medicine, 69120 Heidelberg, Germany

17. Joint Research Centre for Computational Biomedicine (JRC-COMBINE), Faculty of Medicine, RWTH Aachen University, Aachen 52062, Germany

18. Institut de Biologie de l’ENS (IBENS), Département de Biologie, École Normale Supérieure, CNRS, INSERM, Université PSL, 75005 Paris, France

19. Division of Bioinformatics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90007, USA

Abstract

Abstract Motivation A large variety of molecular interactions occurs between biomolecular components in cells. When a molecular interaction results in a regulatory effect, exerted by one component onto a downstream component, a so-called ‘causal interaction’ takes place. Causal interactions constitute the building blocks in our understanding of larger regulatory networks in cells. These causal interactions and the biological processes they enable (e.g. gene regulation) need to be described with a careful appreciation of the underlying molecular reactions. A proper description of this information enables archiving, sharing and reuse by humans and for automated computational processing. Various representations of causal relationships between biological components are currently used in a variety of resources. Results Here, we propose a checklist that accommodates current representations, called the Minimum Information about a Molecular Interaction CAusal STatement (MI2CAST). This checklist defines both the required core information, as well as a comprehensive set of other contextual details valuable to the end user and relevant for reusing and reproducing causal molecular interaction information. The MI2CAST checklist can be used as reporting guidelines when annotating and curating causal statements, while fostering uniformity and interoperability of the data across resources. Availability and implementation The checklist together with examples is accessible at https://github.com/MI2CAST/MI2CAST Supplementary information Supplementary data are available at Bioinformatics online.

Funder

Norwegian University of Science and Technology

ERACoSysMed

Gene Regulation Ensemble Effort for the Knowledge Commons

Research Council of Norway

Alzheimer’s Research UK

National Institute for Health Research University College London Hospitals Biomedical Research Centre

EMBL Core funding

Open Targets

National Institutes of Health

National Eye Institute

National Human Genome Research Institute

National Heart, Lung, and Blood Institute

National Institute on Aging

National Institute of Allergy and Infectious Diseases

National Institute of Diabetes and Digestive and Kidney Diseases

National Institute of General Medical Sciences

National Cancer Institute

National Institute of Mental Health

GSK

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference51 articles.

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3. The Cellosaurus, a cell-line knowledge resource;Bairoch;J. Biomol. Techn,2018

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