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- Klionsky, Daniel J., et al.
(författare)
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Guidelines for the use and interpretation of assays for monitoring autophagy
- 2012
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Ingår i: Autophagy. - : Informa UK Limited. - 1554-8635 .- 1554-8627. ; 8:4, s. 445-544
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Forskningsöversikt (refereegranskat)abstract
- In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process vs. those that measure flux through the autophagy pathway (i.e., the complete process); thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from stimuli that result in increased autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field.
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| 3. |
- Cheng, J. C. P., et al.
(författare)
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A service oriented framework for construction supply chain integration
- 2010
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Ingår i: Automation in Construction. - : Elsevier BV. - 0926-5805. ; 19:2, s. 245-260
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Tidskriftsartikel (refereegranskat)abstract
- The benefits of integrating and coordinating supply chain partners have been well recognized in many industries. In the construction industry, supply chain integration is technically challenging due to the high fragmentation of the industry. Information, applications, and services are loosely distributed among participants with a wide range of hardware and software capabilities. In addition, participants are often unwilling to share information because the temporary nature of construction projects often impedes the establishment of trust. A secure, modular, and flexible system that can aggregate scattered information and share that information across applications is, therefore, highly desirable. We have prototyped a service oriented, web-based system that can provide both these capabilities. Called the SC Collaborator, this system facilitates the flexible coordination of construction supply chains by leveraging web services, web portal, and open source technologies. These technologies enable the SC Collaborator system to provide an economical and customizable tool for integrating supply chain partners with a wide range of computing capabilities. This paper describes the overall architecture and the features of the system. Two example scenarios are included to demonstrate the potential of SC Collaborator in integrating and managing information from project partners. The first scenario is an e-Procurement example whereas the second is a rescheduling scenario based on the data from a completed project in Sweden. (C) 2009 Elsevier B.V. All rights reserved.
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| 4. |
- Cheng, J. C. P., et al.
(författare)
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Modeling and monitoring of construction supply chains
- 2010
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Ingår i: Advanced Engineering Informatics. - : Elsevier BV. - 1474-0346. ; 24:4, s. 435-455
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Tidskriftsartikel (refereegranskat)abstract
- The planning and management of supply chains require properly specifying the participating members and the relationships among them. Construction supply chains usually consist of numerous participants and are complex in structure Representing construction supply chains using a network model can help understand the complexity, support re-configuration, identify the bottlenecks, and prioritize company's resources, as well as add values to the management of construction projects. Using a case example on the mechanical, electrical and plumbing (MEP) processes in a construction project, this paper demonstrates the modeling of construction supply chains using the Supply Chain Operations Reference (SCOR) framework developed by the Supply Chain Council (SCC). The SCOR modeling framework provides a structured and systematic way to model and decompose a supply chain from conceptual representation to process element specificatjavascript:dropdown_help('field-abstract')ion. The SCOR framework is commonly used by corporations for strategic planning of their supply chains This paper further presents a model-based service oriented framework that leverages the SCOR models for performance monitoring of construction supply chains. In the supply chain management and monitoring framework each supply chain process element is implemented as a discrete web service component The framework is built on a service oriented collaborative system. namely SC Collaborator, that we have developed using web service technology, open standards, and open source technologies.
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