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- Lazar, J., et al.
(författare)
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Human-computer interaction and international public policymaking : A framework for understanding and taking future actions
- 2015
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Ingår i: Foundations and Trends in Human-Computer Interaction. - : Now Publishers Inc.. - 1551-3955 .- 1551-3963. ; 9:2, s. 69-149
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Tidskriftsartikel (refereegranskat)abstract
- This monograph lays out a discussion framework for understanding the role of human-computer interaction (HCI) in public policymaking. We take an international view, discussing potential areas for research and application, and their potential for impact. Little has been written about the intersection of HCI and public policy; existing reports typically focus on one specific policy issue or incident. To date, there has been no overarching view of the areas of existing impact and potential impact. We have begun that analysis and argue here that such a global view is needed. Our aims are to provide a solid foundation for discussion, cooperation and collaborative interaction, and to outline future programs of activity. The five sections of this report provide relevant background along with a preliminary version of what we expect to be an evolving framework. Sections 1 and 2 provides an introduction to HCI and public policy. Section 3 discusses how HCI already informs public policy, with representative examples. Section 4 discusses how public policy influences HCI and provides representative public policy areas relevant to HCI, where HCI could have even more impact in the future: (i) laws, regulations, and guidelines for HCI research, (ii) HCI research assessments, (iii) research funding, (iv) laws for interface design - accessibility and language, (v) data privacy laws and regulations, (vi) intellectual property, and (vii) laws and regulations in specific sectors. There is a striking difference between where the HCI community has had impact (Section 3) and the many areas of potential involvement (Section 4). Section 5 a framework for action by the HCI community in public policy internationally. This monograph summarizes the observations and recommendations from a daylong workshop at the CHI 2013 conference in Paris, France. The workshop invited the community's perspectives regarding the intersection of governmental policies, international and domestic standards, recent HCI research discoveries, and emergent considerations and challenges. It also incorporates contributions made after the workshop by workshop participants and by individuals who were unable to participate in the workshop but whose work and interests were highly related and relevant.
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| 2. |
- Braekeveldt, N., et al.
(författare)
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Patient-Derived Xenograft Models Reveal Intratumor Heterogeneity and Temporal Stability in Neuroblastoma
- 2018
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Ingår i: Cancer Research. - 0008-5472. ; 78:20, s. 5958-5969
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Tidskriftsartikel (refereegranskat)abstract
- Patient-derived xenografts (PDX) and the Avatar, a single PDX mirroring an individual patient, are emerging tools in preclinical cancer research. However, the consequences of intratumor heterogeneity for PDX modeling of biomarkers, target identification, and treatment decisions remain under-explored. In this study, we undertook serial passaging and comprehensive molecular analysis of neuroblastoma orthotopic PDXs, which revealed strong intrinsic genetic, transcriptional, and phenotypic stability for more than 2 years. The PDXs showed preserved neuroblastoma-associated gene signatures that correlated with poor clinical outcome in a large cohort of patients with neuroblastoma. Furthermore, we captured spatial intratumor heterogeneity using ten PDXs from a single high-risk patient tumor. We observed diverse growth rates, transcriptional, proteomic, and phosphoproteomic profiles. PDX-derived transcriptional profiles were associated with diverse clinical characteristics in patients with high-risk neuroblastoma. These data suggest that high-risk neuroblastoma contains elements of both temporal stability and spatial intratumor heterogeneity, the latter of which complicates clinical translation of personalized PDX-Avatar studies into preclinical cancer research. Significance: These findings underpin the complexity of PDX modeling as a means to advance translational applications against neuroblastoma. (C) 2018 AACR.
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| 3. |
- Mestdagh, Pieter, et al.
(författare)
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The miR-17-92 MicroRNA Cluster Regulates Multiple Components of the TGF-beta Pathway in Neuroblastoma
- 2010
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Ingår i: Molecular Cell. - : Elsevier BV. - 1097-4164 .- 1097-2765. ; 40:5, s. 762-773
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Tidskriftsartikel (refereegranskat)abstract
- The miR-17-92 microRNA cluster is often activated in cancer cells, but the identity of its targets remains elusive. Using SILAC and quantitative mass spectrometry, we examined the effects of activation of the miR-17-92 cluster on global protein expression in neuroblastoma (NB) cells. Our results reveal cooperation between individual miR-17-92 miRNAs and implicate miR-17-92 in multiple hallmarks of cancer, including proliferation and cell adhesion. Most importantly, we show that miR-17-92 is a potent inhibitor of TGF-beta signaling. By functioning both upstream and downstream of pSMAD2, miR-17-92 activation triggers downregulation of multiple key effectors along the TGF-beta signaling cascade as well as direct inhibition of TGF-beta-responsive genes.
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