ORCID Profile
0000-0002-3469-4923
Current Organisations
The University of Memphis
,
University of St. Gallen
,
University of Zurich
,
University College London
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Publisher: Frontiers Media SA
Date: 14-11-2018
Publisher: F1000 Research Ltd
Date: 12-10-2023
Publisher: Springer Science and Business Media LLC
Date: 12-11-2021
DOI: 10.1038/S41467-021-26684-Z
Abstract: Despite the strong evidence linking the aggregation of the Huntingtin protein (Htt) to the pathogenesis of Huntington’s disease (HD), the mechanisms underlying Htt aggregation and neurodegeneration remain poorly understood. Herein, we investigated the ultrastructural properties and protein composition of Htt cytoplasmic and nuclear inclusions in mammalian cells and primary neurons overexpressing mutant exon1 of the Htt protein. Our findings provide unique insight into the ultrastructural properties of cytoplasmic and nuclear Htt inclusions and their mechanisms of formation. We show that Htt inclusion formation and maturation are complex processes that, although initially driven by polyQ-dependent Htt aggregation, also involve the polyQ and PRD domain-dependent sequestration of lipids and cytoplasmic and cytoskeletal proteins related to HD dysregulated pathways the recruitment and accumulation of remodeled or dysfunctional membranous organelles, and the impairment of the protein quality control and degradation machinery. We also show that nuclear and cytoplasmic Htt inclusions exhibit distinct biochemical compositions and ultrastructural properties, suggesting different mechanisms of aggregation and toxicity.
Publisher: F1000 Research Ltd
Date: 17-07-2023
DOI: 10.12688/WELLCOMEOPENRES.19363.1
Abstract: Background: The Behaviour Change Technique Taxonomy v1 (BCTTv1) specifies the potentially active content of behaviour change interventions. Evaluation of BCTTv1 showed the need to extend it into a formal ontology, improve its labels and definitions, add BCTs and sub ide existing BCTs. We aimed to develop a Behaviour Change Technique Ontology (BCTO) that would meet these needs. Methods : The BCTO was developed by: (1) collating and synthesising feedback from multiple sources (2) extracting information from published studies and classification systems (3) multiple iterations of reviewing and refining entities, and their labels, definitions and relationships (4) refining the ontology via expert stakeholder review of its comprehensiveness and clarity (5) testing whether researchers could reliably apply the ontology to identify BCTs in intervention reports and (6) making it available online and creating a machine-readable version. Results : Initially there were 282 proposed changes to BCTTv1. Following first-round review, 19 BCTs were split into two or more BCTs, 27 new BCTs were added and 26 BCTs were moved into a different group, giving 161 BCTs hierarchically organised into 12 logically defined higher-level groups in up to five hierarchical levels. Following expert stakeholder review, the refined ontology had 247 BCTs hierarchically organised into 20 higher-level groups. Independent annotations of intervention evaluation reports by researchers familiar and unfamiliar with the ontology resulted in good levels of inter-rater reliability (0.82 and 0.79, respectively). Following revision informed by this exercise, 34 BCTs were added, resulting in a final version of the BCTO containing 281 BCTs organised into 20 higher-level groups over five hierarchical levels. Discussion : The BCT Ontology provides a standard terminology and comprehensive classification system for the content of behaviour change interventions that can be reliably used to describe interventions.
Publisher: EMBO
Date: 2011
DOI: 10.1038/MSB.2011.77
Publisher: Center for Open Science
Date: 05-04-2023
Abstract: Background The Behaviour Change Technique Taxonomy v1 (BCTTv1) specifies the potentially active content of behaviour change interventions. Evaluation of the BCTTv1 showed the need to extend it into a formal ontology, improve its labels and definitions, add BCTs and sub ide existing BCTs. We aimed to develop a Behaviour Change Technique Ontology (BCTO) that would meet these needs.Methods The BCTO was developed by: (1) collating and synthesising feedback from multiple sources (2) extracting information from published studies and classification systems (3) multiple iterations of reviewing and refining entities, their labels, definitions, and relationships (4) further refining the ontology via expert stakeholder review of its comprehensiveness and clarity (5) testing whether researchers could reliably apply the ontology to identify BCTs in intervention reports and (6) making it available online and creating a machine-readable version.ResultsOf 282 proposed changes to BCTTv1, 27 were new BCTs and nine concerned their grouping. Following review, 19 BCTs were split into two or more BCTs, 27 new BCTs were added and 26 BCTs were moved into a different group, giving 161 BCTs hierarchically organised into 12 logically defined higher-level groups in up to five hierarchical levels. Following expert stakeholder review, the refined ontology had 247 BCTs hierarchically organised into 20 higher-level groups. Independent annotations of intervention evaluation reports by researchers familiar and unfamiliar with the ontology resulted in good levels of inter-rater reliability (0.82 and 0.79, respectively). Following further revision by the research team, 12 BCTs were added, resulting in a final version of the BCTO containing 259 BCTs organised into 20 higher-level groups over up to five hierarchical levels.DiscussionThe BCT Ontology provides a standard terminology and comprehensive classification system for the content of behaviour change interventions that can be reliably used to describe interventions.
Publisher: Springer US
Date: 2020
DOI: 10.1007/978-1-0716-0239-3_18
Abstract: Interpretation of metabolomics data in the context of biological pathways is important to gain knowledge about underlying metabolic processes. In this chapter we present methods to analyze genome-scale models (GSMs) and metabolomics data together. This includes reading and mining of GSMs using the SBTab format to retrieve information on genes, reactions, and metabolites. Furthermore, the chapter showcases the generation of metabolic pathway maps using the Escher tool, which can be used for data visualization. Lastly, approaches to constrain flux balance analysis (FBA) by metabolomics data are presented.
Publisher: Wiley
Date: 05-08-2016
DOI: 10.1111/JOPY.12266
Abstract: This study investigates the differential functioning of cultural and intellectual openness (the two aspects of Openness to Experience) in relation to social cognitive processes by examining how they influence people's perceptions and interpretations of social information when deciding to initiate working relationships. Using a policy-capturing design, 681 adult participants were asked to rate their similarity to and preference to work with potential work partners characterized by varying nationalities and levels of work-related competence. Multilevel moderated mediation was conducted to simultaneously evaluate whether the indirect effects of potential work partners' characteristics (i.e., nationalities and levels of work-related competence) on work partner preference through perceived similarity were moderated by cultural and intellectual openness. Perceived similarity mediated the relationships between work partner nationality and work-related competence and participants' work partner preferences. Furthermore, the negative indirect effect of work partner nationality on work partner preference via perceived similarity was attenuated by cultural openness, and the positive indirect effect of work partner work-related competence on work partner preference via perceived similarity was strengthened by intellectual openness. Cultural and intellectual openness may have distinct functions that influence how people perceive, evaluate, and appreciate social information when making social judgments.
Publisher: Springer Science and Business Media LLC
Date: 28-08-2012
Abstract: Biomedical processes can provide essential information about the (mal-) functioning of an organism and are thus frequently represented in biomedical terminologies and ontologies, including the GO Biological Process branch. These processes often need to be described and categorised in terms of their attributes, such as rates or regularities. The adequate representation of such process attributes has been a contentious issue in bio-ontologies recently and domain ontologies have correspondingly developed ad hoc workarounds that compromise interoperability and logical consistency. We present a design pattern for the representation of process attributes that is compatible with upper ontology frameworks such as BFO and BioTop. Our solution rests on two key tenets: firstly, that many of the sorts of process attributes which are biomedically interesting can be characterised by the ways that repeated parts of such processes constitute, in combination, an overall process secondly, that entities for which a full logical definition can be assigned do not need to be treated as primitive within a formal ontology framework. We apply this approach to the challenge of modelling and automatically classifying ex les of normal and abnormal rates and patterns of heart beating processes, and discuss the expressivity required in the underlying ontology representation language. We provide full definitions for process attributes at increasing levels of domain complexity. We show that a logical definition of process attributes is feasible, though limited by the expressivity of DL languages so that the creation of primitives is still necessary. This finding may endorse current formal upper-ontology frameworks as a way of ensuring consistency, interoperability and clarity.
Location: Switzerland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Janna Hastings.