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Müller H, Lopes-Dias C, Holub P, Plass M, Jungwirth E, Reihs R, Torke PR, Malatras A, Berger A, Coombs H, Dillner J, Merino-Martinez R. BIBBOX, a FAIR toolbox and App Store for life science research. N Biotechnol 2023; 77:12-19. [PMID: 37295722 DOI: 10.1016/j.nbt.2023.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 06/05/2023] [Accepted: 06/06/2023] [Indexed: 06/12/2023]
Abstract
Data quality has recently become a critical topic for the research community. European guidelines recommend that scientific data should be made FAIR: findable, accessible, interoperable and reusable. However, as FAIR guidelines do not specify how the stated principles should be implemented, it might not be straightforward for researchers to know how actually to make their data FAIR. This can prevent life-science researchers from sharing their datasets and pipelines, ultimately hindering the progress of research. To address this difficulty, we developed the BIBBOX, which is a platform that supports researchers publishing their datasets and the associated software in a FAIR manner.
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Affiliation(s)
- Heimo Müller
- Medical University of Graz, Neue Stiftingtalstraße 6, A-8010 Graz, Austria.
| | | | - Petr Holub
- BBMRI-ERIC, Neue Stiftingtalstraße 2/B/6, A-8010 Graz, Austria
| | - Markus Plass
- Medical University of Graz, Neue Stiftingtalstraße 6, A-8010 Graz, Austria
| | - Emilian Jungwirth
- Medical University of Graz, Neue Stiftingtalstraße 6, A-8010 Graz, Austria
| | - Robert Reihs
- Medical University of Graz, Neue Stiftingtalstraße 6, A-8010 Graz, Austria
| | - Paul R Torke
- Medical University of Graz, Neue Stiftingtalstraße 6, A-8010 Graz, Austria
| | | | - Anouk Berger
- International Agency for Research on Cancer (IARC), 25 avenue Tony Garnier, 69366 Lyon, France
| | - Heather Coombs
- International Agency for Research on Cancer (IARC), 25 avenue Tony Garnier, 69366 Lyon, France
| | - Joakim Dillner
- Karolinska Institutet, Alfred Nobels Allé 8, 14152 Huddinge, Sweden
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Eklund N, Andrianarisoa NH, van Enckevort E, Anton G, Debucquoy A, Müller H, Zaharenko L, Engels C, Ebert L, Neumann M, Geeraert J, T'Joen V, Demski H, Caboux É, Proynova R, Parodi B, Mate S, van Iperen E, Merino-Martinez R, Quinlan PR, Holub P, Silander K. Extending the Minimum Information About BIobank Data Sharing Terminology to Describe Samples, Sample Donors, and Events. Biopreserv Biobank 2020; 18:155-164. [PMID: 32302498 PMCID: PMC7310316 DOI: 10.1089/bio.2019.0129] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Introduction: The Minimum Information About BIobank data Sharing (MIABIS) was initiated in 2012. MIABIS aims to create a common biobank terminology to facilitate data sharing in biobanks and sample collections. The MIABIS Core terminology consists of three components describing biobanks, sample collections, and studies, in which information on samples and sample donors is provided at aggregated form. However, there is also a need to describe samples and sample donors at an individual level to allow more elaborate queries on available biobank samples and data. Therefore the MIABIS terminology has now been extended with components describing samples and sample donors at an individual level. Materials and Methods: The components were defined according to specific scope and use cases by a large group of experts, and through several cycles of reviews, according to the new MIABIS governance model of BBMRI-ERIC (Biobanking and Biomolecular Resources Research Infrastructure-European Research Infrastructure Consortium). The guiding principles applied in developing these components included the following terms: model should consider only samples of human origin, model should be applicable to all types of samples and all sample donors, and model should describe the current status of samples stored in a given biobank. Results: A minimal set of standard attributes for defining samples and sample donors is presented here. We added an "event" component to describe attributes that are not directly describing samples or sample donors but are tightly related to them. To better utilize the generic data model, we suggest a procedure by which interoperability can be promoted, using specific MIABIS profiles. Discussion: The MIABIS sample and donor component extensions and the new generic data model complement the existing MIABIS Core 2.0 components, and substantially increase the potential usability of this terminology for better describing biobank samples and sample donors. They also support the use of individual level data about samples and sample donors to obtain accurate and detailed biobank availability queries.
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Affiliation(s)
- Niina Eklund
- THL Biobank, Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | | | - Esther van Enckevort
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | | | | | - Heimo Müller
- Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria
| | | | | | | | - Michael Neumann
- Interdisciplinary Bank of Biomaterials and Data Würzburg, University Hospital Würzburg, Würzburg, Germany
| | - Joachim Geeraert
- Faculty of Medicine and Health Sciences, University of Ghent/University Hospital Ghent, Ghent, Belgium
| | - Veronique T'Joen
- Faculty of Medicine and Health Sciences, University of Ghent/University Hospital Ghent, Ghent, Belgium
| | - Hans Demski
- Helmholtz Zentrum München, Neuherberg, Germany
| | | | | | | | - Sebastian Mate
- Medical Centre for Information and Communication Technology, Universitätsklinikum Erlangen, Erlangen, Germany
| | - Erik van Iperen
- Amsterdam UMC Biobank, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | | | - Philip R Quinlan
- Digital Research Service, University of Nottingham, Nottingham, United Kingdom
| | | | - Kaisa Silander
- THL Biobank, Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
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Bendou H, Sizani L, Reid T, Swanepoel C, Ademuyiwa T, Merino-Martinez R, Meuller H, Abayomi A, Christoffels A. Baobab Laboratory Information Management System: Development of an Open-Source Laboratory Information Management System for Biobanking. Biopreserv Biobank 2017; 15:116-120. [PMID: 28375759 PMCID: PMC5397207 DOI: 10.1089/bio.2017.0014] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
A laboratory information management system (LIMS) is central to the informatics infrastructure that underlies biobanking activities. To date, a wide range of commercial and open-source LIMSs are available and the decision to opt for one LIMS over another is often influenced by the needs of the biobank clients and researchers, as well as available financial resources. The Baobab LIMS was developed by customizing the Bika LIMS software (www.bikalims.org) to meet the requirements of biobanking best practices. The need to implement biobank standard operation procedures as well as stimulate the use of standards for biobank data representation motivated the implementation of Baobab LIMS, an open-source LIMS for Biobanking. Baobab LIMS comprises modules for biospecimen kit assembly, shipping of biospecimen kits, storage management, analysis requests, reporting, and invoicing. The Baobab LIMS is based on the Plone web-content management framework. All the system requirements for Plone are applicable to Baobab LIMS, including the need for a server with at least 8 GB RAM and 120 GB hard disk space. Baobab LIMS is a server–client-based system, whereby the end user is able to access the system securely through the internet on a standard web browser, thereby eliminating the need for standalone installations on all machines.
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Affiliation(s)
- Hocine Bendou
- 1 South African National Bioinformatics Institute, SA Medical Research Council Unit, University of the Western Cape , Bellville, South Africa .,2 Bridging Biobanking and Biomolecular Research Across Europe and Africa (B3Africa) Consortium
| | - Lunga Sizani
- 1 South African National Bioinformatics Institute, SA Medical Research Council Unit, University of the Western Cape , Bellville, South Africa
| | - Tim Reid
- 2 Bridging Biobanking and Biomolecular Research Across Europe and Africa (B3Africa) Consortium.,3 National Health Laboratory Services, Tygerberg Hospital , Cape Town, South Africa
| | - Carmen Swanepoel
- 2 Bridging Biobanking and Biomolecular Research Across Europe and Africa (B3Africa) Consortium.,3 National Health Laboratory Services, Tygerberg Hospital , Cape Town, South Africa .,4 Division of Haematology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University , Tygerberg, South Africa .,5 Human, Heredity and Health in Africa (H3Africa) Consortium
| | - Toluwaleke Ademuyiwa
- 1 South African National Bioinformatics Institute, SA Medical Research Council Unit, University of the Western Cape , Bellville, South Africa
| | - Roxana Merino-Martinez
- 2 Bridging Biobanking and Biomolecular Research Across Europe and Africa (B3Africa) Consortium.,6 Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm, Sweden
| | - Heimo Meuller
- 2 Bridging Biobanking and Biomolecular Research Across Europe and Africa (B3Africa) Consortium.,7 Institute of Pathology, Medical University , Graz, Austria .,8 BBMRI-ERIC, Common Service IT, Graz, Austria
| | - Akin Abayomi
- 2 Bridging Biobanking and Biomolecular Research Across Europe and Africa (B3Africa) Consortium.,3 National Health Laboratory Services, Tygerberg Hospital , Cape Town, South Africa .,4 Division of Haematology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University , Tygerberg, South Africa .,5 Human, Heredity and Health in Africa (H3Africa) Consortium
| | - Alan Christoffels
- 1 South African National Bioinformatics Institute, SA Medical Research Council Unit, University of the Western Cape , Bellville, South Africa .,2 Bridging Biobanking and Biomolecular Research Across Europe and Africa (B3Africa) Consortium.,5 Human, Heredity and Health in Africa (H3Africa) Consortium
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Merino-Martinez R, Norlin L, van Enckevort D, Anton G, Schuffenhauer S, Silander K, Mook L, Holub P, Bild R, Swertz M, Litton JE. Toward Global Biobank Integration by Implementation of the Minimum Information About BIobank Data Sharing (MIABIS 2.0 Core). Biopreserv Biobank 2016; 14:298-306. [PMID: 26977825 DOI: 10.1089/bio.2015.0070] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Biobanks are the biological back end of data-driven medicine, but lack standards and generic solutions for interoperability and information harmonization. The move toward a global information infrastructure for biobanking demands semantic interoperability through harmonized services and common ontologies. To tackle this issue, the Minimum Information About BIobank data Sharing (MIABIS) was developed in 2012 by the Biobanking and BioMolecular Resources Research Infrastructure of Sweden (BBMRI.se). The wide acceptance of the first version of MIABIS encouraged evolving it to a more structured and descriptive standard. In 2013 a working group was formed under the largest infrastructure for health in Europe, Biobanking and BioMolecular Resources Research Infrastructure (BBMRI-ERIC), with the remit to continue the development of MIABIS (version 2.0) through a multicountry governance process. MIABIS 2.0 Core has been developed with 22 attributes describing Biobanks, Sample Collections, and Studies according to a modular structure that makes it easier to adhere to and to extend the standard. This integration standard will make a great contribution to the discovery and exploitation of biobank resources and lead to a wider and more efficient use of valuable bioresources, thereby speeding up the research on human diseases. Many within the European Union have accepted MIABIS 2.0 Core as the "de facto" biobank information standard.
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Affiliation(s)
- Roxana Merino-Martinez
- 1 BBMRI.se, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm, Sweden
| | - Loreana Norlin
- 1 BBMRI.se, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm, Sweden
| | - David van Enckevort
- 2 BBMRI-NL, Department of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen , Groningen, the Netherlands
| | - Gabriele Anton
- 3 Institute of Epidemiology II, Helmholtz Center Munich , Munich, Germany
| | | | - Kaisa Silander
- 5 BBMRI.fi, National Institute for Health and Welfare , Genomics and Biomarkers Unit, Helsinki, Finland
| | - Linda Mook
- 2 BBMRI-NL, Department of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen , Groningen, the Netherlands
| | | | | | - Morris Swertz
- 2 BBMRI-NL, Department of Genetics, Genomics Coordination Center, University Medical Center Groningen, University of Groningen , Groningen, the Netherlands
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Brochhausen M, Fransson MN, Kanaskar NV, Eriksson M, Merino-Martinez R, Hall RA, Norlin L, Kjellqvist S, Hortlund M, Topaloglu U, Hogan WR, Litton JE. Developing a semantically rich ontology for the biobank-administration domain. J Biomed Semantics 2013; 4:23. [PMID: 24103726 PMCID: PMC4021870 DOI: 10.1186/2041-1480-4-23] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2013] [Accepted: 05/15/2013] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Biobanks are a critical resource for translational science. Recently, semantic web technologies such as ontologies have been found useful in retrieving research data from biobanks. However, recent research has also shown that there is a lack of data about the administrative aspects of biobanks. These data would be helpful to answer research-relevant questions such as what is the scope of specimens collected in a biobank, what is the curation status of the specimens, and what is the contact information for curators of biobanks. Our use cases include giving researchers the ability to retrieve key administrative data (e.g. contact information, contact's affiliation, etc.) about the biobanks where specific specimens of interest are stored. Thus, our goal is to provide an ontology that represents the administrative entities in biobanking and their relations. We base our ontology development on a set of 53 data attributes called MIABIS, which were in part the result of semantic integration efforts of the European Biobanking and Biomolecular Resources Research Infrastructure (BBMRI). The previous work on MIABIS provided the domain analysis for our ontology. We report on a test of our ontology against competency questions that we derived from the initial BBMRI use cases. Future work includes additional ontology development to answer additional competency questions from these use cases. RESULTS We created an open-source ontology of biobank administration called Ontologized MIABIS (OMIABIS) coded in OWL 2.0 and developed according to the principles of the OBO Foundry. It re-uses pre-existing ontologies when possible in cooperation with developers of other ontologies in related domains, such as the Ontology of Biomedical Investigation. OMIABIS provides a formalized representation of biobanks and their administration. Using the ontology and a set of Description Logic queries derived from the competency questions that we identified, we were able to retrieve test data with perfect accuracy. In addition, we began development of a mapping from the ontology to pre-existing biobank data structures commonly used in the U.S. CONCLUSIONS In conclusion, we created OMIABIS, an ontology of biobank administration. We found that basing its development on pre-existing resources to meet the BBMRI use cases resulted in a biobanking ontology that is re-useable in environments other than BBMRI. Our ontology retrieved all true positives and no false positives when queried according to the competency questions we derived from the BBMRI use cases. Mapping OMIABIS to a data structure used for biospecimen collections in a medical center in Little Rock, AR showed adequate coverage of our ontology.
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Affiliation(s)
- Mathias Brochhausen
- Division of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Martin N Fransson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Nitin V Kanaskar
- Department of IT Research, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Roxana Merino-Martinez
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Roger A Hall
- Division of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Loreana Norlin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sanela Kjellqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Maria Hortlund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Umit Topaloglu
- Division of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - William R Hogan
- Division of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Jan-Eric Litton
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Norlin L, Fransson MN, Eriksson M, Merino-Martinez R, Anderberg M, Kurtovic S, Litton JE. A Minimum Data Set for Sharing Biobank Samples, Information, and Data: MIABIS. Biopreserv Biobank 2012; 10:343-8. [PMID: 24849882 DOI: 10.1089/bio.2012.0003] [Citation(s) in RCA: 72] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- Loreana Norlin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Martin N. Fransson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Mikael Eriksson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Roxana Merino-Martinez
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Maria Anderberg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sanela Kurtovic
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jan-Eric Litton
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
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Reinius B, Saetre P, Leonard JA, Blekhman R, Merino-Martinez R, Gilad Y, Jazin E. An evolutionarily conserved sexual signature in the primate brain. PLoS Genet 2008; 4:e1000100. [PMID: 18566661 PMCID: PMC2413013 DOI: 10.1371/journal.pgen.1000100] [Citation(s) in RCA: 76] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2007] [Accepted: 05/16/2008] [Indexed: 11/19/2022] Open
Abstract
The question of a potential biological sexual signature in the human brain is a heavily disputed subject. In order to provide further insight into this issue, we used an evolutionary approach to identify genes with sex differences in brain expression level among primates. We reasoned that expression patterns important to uphold key male and female characteristics may be conserved during evolution. We selected cortex for our studies because this specific brain region is responsible for many higher behavioral functions. We compared gene expression profiles in the occipital cortex of male and female humans (Homo sapiens, a great ape) and cynomolgus macaques (Macaca fascicularis, an old world monkey), two catarrhine species that show abundant morphological sexual dimorphism, as well as in common marmosets (Callithrix Jacchus, a new world monkey) which are relatively sexually monomorphic. We identified hundreds of genes with sex-biased expression patterns in humans and macaques, while fewer than ten were differentially expressed between the sexes in marmosets. In primates, a general rule is that many of the morphological and behavioral sexual dimorphisms seen in polygamous species, such as macaques, are typically less pronounced in monogamous species such as the marmosets. Our observations suggest that this correlation may also be reflected in the extent of sex-biased gene expression in the brain. We identified 85 genes with common sex-biased expression, in both human and macaque and 2 genes, X inactivation-specific transcript (XIST) and Heat shock factor binding protein 1 (HSBP1), that were consistently sex-biased in the female direction in human, macaque, and marmoset. These observations imply a conserved signature of sexual gene expression dimorphism in cortex of primates. Further, we found that the coding region of female-biased genes is more evolutionarily constrained compared to the coding region of both male-biased and non sex-biased brain expressed genes. We found genes with conserved sexual gene expression dimorphism in the occipital cortex of humans, cynomolgus macaques, and common marmosets. Genes within sexual expression profiles may underlie important functional differences between the sexes, with possible importance during primate evolution. The contribution of genetics versus environment to behavioral differences between the sexes is a fundamental question in neuroscience. We hypothesized that some differences between the sexes might be partially explained by sexually dependent gene expression differences in the brain. We further speculated that if differences in gene expression between males and females are functionally important, they may be conserved in the evolution of primates. To test these hypotheses, we measured gene expression in the brains of male and female primates from three species: humans (Homo sapiens), macaques (Macaca fascicularis), and marmosets (Callithrix jacchus). Our results point to a conserved signature of sexual gene expression dimorphism in the brains of primates. Interestingly, we found that genes with conserved sexual gene expression dimorphism in the brain also evolve under more evolutionary constraint, compared with other genes, suggesting that they may have important roles during evolution of sex in primates. Moreover, we found higher evolutionary constrains in the coding regions of female-biased genes as compared to both male-biased and non sex-biased brain expressed genes. The study of sex dimorphic genes may in the future shed light on the basis of psychiatric diseases with differences in prevalence between the sexes.
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Affiliation(s)
- Björn Reinius
- Department of Development and Genetics, Uppsala University, Uppsala, Sweden
| | - Peter Saetre
- Department of Development and Genetics, Uppsala University, Uppsala, Sweden
- Department of Clinical Neuroscience, HUBIN Project, Karolinska Institutet and Hospital, Stockholm, Sweden
| | | | - Ran Blekhman
- Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
| | - Roxana Merino-Martinez
- Department of Molecular Medicine and Surgery, Karolinska Institutet and Hospital, Stockholm, Sweden
| | - Yoav Gilad
- Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
| | - Elena Jazin
- Department of Development and Genetics, Uppsala University, Uppsala, Sweden
- * E-mail:
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Ökvist A, Johansson S, Kuzmin A, Bazov I, Merino-Martinez R, Ponomarev I, Mayfield RD, Harris RA, Sheedy D, Garrick T, Harper C, Hurd YL, Terenius L, Ekström TJ, Bakalkin G, Yakovleva T. Neuroadaptations in human chronic alcoholics: dysregulation of the NF-kappaB system. PLoS One 2007; 2:e930. [PMID: 17895971 PMCID: PMC1976556 DOI: 10.1371/journal.pone.0000930] [Citation(s) in RCA: 64] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2007] [Accepted: 09/03/2007] [Indexed: 12/27/2022] Open
Abstract
Background Alcohol dependence and associated cognitive impairments apparently result from neuroadaptations to chronic alcohol consumption involving changes in expression of multiple genes. Here we investigated whether transcription factors of Nuclear Factor-kappaB (NF-κB) family, controlling neuronal plasticity and neurodegeneration, are involved in these adaptations in human chronic alcoholics. Methods and Findings Analysis of DNA-binding of NF-κB (p65/p50 heterodimer) and the p50 homodimer as well as NF-κB proteins and mRNAs was performed in postmortem human brain samples from 15 chronic alcoholics and 15 control subjects. The prefrontal cortex involved in alcohol dependence and cognition was analyzed and the motor cortex was studied for comparison. The p50 homodimer was identified as dominant κB binding factor in analyzed tissues. NF-κB and p50 homodimer DNA-binding was downregulated, levels of p65 (RELA) mRNA were attenuated, and the stoichiometry of p65/p50 proteins and respective mRNAs was altered in the prefrontal cortex of alcoholics. Comparison of a number of p50 homodimer/NF-κB target DNA sites, κB elements in 479 genes, down- or upregulated in alcoholics demonstrated that genes with κB elements were generally upregulated in alcoholics. No significant differences between alcoholics and controls were observed in the motor cortex. Conclusions We suggest that cycles of alcohol intoxication/withdrawal, which may initially activate NF-κB, when repeated over years downregulate RELA expression and NF-κB and p50 homodimer DNA-binding. Downregulation of the dominant p50 homodimer, a potent inhibitor of gene transcription apparently resulted in derepression of κB regulated genes. Alterations in expression of p50 homodimer/NF-κB regulated genes may contribute to neuroplastic adaptation underlying alcoholism.
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Affiliation(s)
- Anna Ökvist
- The Section of Alcohol and Drug Dependence Research, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Sofia Johansson
- The Section of Alcohol and Drug Dependence Research, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Alexander Kuzmin
- The Section of Alcohol and Drug Dependence Research, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Igor Bazov
- The Section of Alcohol and Drug Dependence Research, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | | | - Igor Ponomarev
- Waggoner Center for Alcohol and Addiction Research, University of Texas at Austin, Austin, Texas, United States of America
| | - R. Dayne Mayfield
- Waggoner Center for Alcohol and Addiction Research, University of Texas at Austin, Austin, Texas, United States of America
| | - R. Adron Harris
- Waggoner Center for Alcohol and Addiction Research, University of Texas at Austin, Austin, Texas, United States of America
| | - Donna Sheedy
- Discipline of Pathology, University of Sydney, Sydney, New South Wales, Australia
| | - Therese Garrick
- Discipline of Pathology, University of Sydney, Sydney, New South Wales, Australia
| | - Clive Harper
- Discipline of Pathology, University of Sydney, Sydney, New South Wales, Australia
| | - Yasmin L. Hurd
- Department of Psychiatry, Mount Sinai School of Medicine, New York, New York, United States of America
- Department of Pharmacology and Biological Chemistry, Mount Sinai School of Medicine, New York, New York, United States of America
| | - Lars Terenius
- The Section of Alcohol and Drug Dependence Research, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Tomas J. Ekström
- The Section of Alcohol and Drug Dependence Research, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Georgy Bakalkin
- The Section of Alcohol and Drug Dependence Research, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Department of Pharmaceutical Biosciences, Division of Biological Research on Drug Dependence, Uppsala University, Uppsala, Sweden
- * To whom correspondence should be addressed. E-mail:
| | - Tatjana Yakovleva
- The Section of Alcohol and Drug Dependence Research, Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
- Department of Pharmaceutical Biosciences, Division of Biological Research on Drug Dependence, Uppsala University, Uppsala, Sweden
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Ono M, Chia DJ, Merino-Martinez R, Flores-Morales A, Unterman TG, Rotwein P. Signal Transducer and Activator of Transcription (Stat) 5b-Mediated Inhibition of Insulin-Like Growth Factor Binding Protein-1 Gene Transcription: A Mechanism for Repression of Gene Expression by Growth Hormone. Mol Endocrinol 2007; 21:1443-57. [PMID: 17426286 DOI: 10.1210/me.2006-0543] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Abstract
GH plays a central role in controlling somatic growth, tissue regeneration, and intermediary metabolism in most vertebrate species through mechanisms dependent on the regulation of gene expression. Recent studies using transcript profiling have identified large cohorts of genes whose expression is induced by GH. Other results have demonstrated that signal transducer and activator of transcription (Stat) 5b, a latent transcription factor activated by the GH receptor-associated protein kinase, Jak2, is a key agent in the GH-stimulated gene activation that leads to somatic growth. By contrast, little is known about the steps through which GH-initiated signaling pathways reduce gene expression. Here we show that Stat5b plays a critical role in the GH-regulated inhibition of IGF binding protein-1 gene transcription by impairing the actions of the FoxO1 transcription factor on the IGF binding protein-1 promoter. Additional observations using transcript profiling in the liver indicate that Stat5b may be a general mediator of GH-initiated gene repression. Our results provide a model for understanding how GH may simultaneously stimulate and inhibit the expression of different cohorts of genes via the same transcription factor, potentially explaining how GH action leads to integrated biological responses in the whole organism.
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Affiliation(s)
- Mitsuru Ono
- Department of Biochemistry and Molecular Biology, Oregon Health & Science University, 3181 Southwest Sam Jackson Road, Portland, Oregon 97239, USA
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