ORCID Profile
0000-0003-0763-0032
Current Organisations
Universität zu Lübeck
,
Cincinnati Children's Hospital Medical Center
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Electrical and Electronic Engineering | Electrical Engineering | Renewable Power and Energy Systems Engineering (excl. Solar Cells) | Power and Energy Systems Engineering (excl. Renewable Power) | Electrical and Electronic Engineering not elsewhere classified | Systems Theory And Control | Polymers | Database Management | Atmospheric Aerosols | Optimisation | Environment and Resource Economics | Applied Economics | Electrostatics And Electrodynamics
Electricity transmission | Energy systems analysis | Energy Transmission and Distribution (excl. Hydrogen) | Energy distribution not elsewhere classified | Solar-Photovoltaic Energy | Energy Storage, Distribution and Supply not elsewhere classified | Industry Costs and Structure | Atmospheric Processes and Dynamics | Renewable energy | Management of Greenhouse Gas Emissions from Electricity Generation | Wind Energy | Energy Services and Utilities | Energy Systems Analysis | Information Processing Services (incl. Data Entry and Capture) |
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2005
Publisher: Elsevier BV
Date: 12-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2014
Publisher: Oxford University Press (OUP)
Date: 21-12-2011
DOI: 10.1093/NAR/GKQ1205
Publisher: IEEE
Date: 10-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2017
Publisher: IEEE
Date: 10-2010
Publisher: IEEE
Date: 07-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Publisher: IEEE
Date: 07-2011
Publisher: IEEE
Date: 2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2018
Publisher: Institution of Engineering and Technology (IET)
Date: 08-2015
Publisher: IEEE
Date: 07-2008
Publisher: IEEE
Date: 07-2015
Publisher: IEEE
Date: 07-2012
Publisher: Elsevier BV
Date: 1995
Publisher: Institution of Engineering and Technology (IET)
Date: 04-2015
Publisher: IEEE
Date: 07-2010
Publisher: Elsevier BV
Date: 05-2013
Publisher: IGI Global
Date: 2006
DOI: 10.4018/978-1-59140-702-7.CH008
Abstract: This chapter introduces advanced techniques such as artificial neural networks, wavelet decomposition, support vector machines, and data-mining techniques in electricity market demand and price forecasts. It argues that various techniques can offer different advantages in providing satisfactory demand and price signal forecast results for a deregulated electricity market, depending on the specific needs in forecasting. Furthermore, the authors hope that an understanding of these techniques and their application will help the reader to form a comprehensive view of electricity market data analysis needs, not only for the traditional time-series based forecast, but also the new correlation-based, price spike analysis.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2013
Publisher: IEEE
Date: 2013
Publisher: Elsevier BV
Date: 05-2020
Publisher: Elsevier BV
Date: 05-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 07-2012
Publisher: IEEE
Date: 09-2014
Publisher: IEEE
Date: 12-2007
Publisher: IEEE
Date: 07-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1997
DOI: 10.1109/61.634175
Publisher: Springer Singapore
Date: 2014
Publisher: Springer Science and Business Media LLC
Date: 30-06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1997
DOI: 10.1109/61.634174
Publisher: IEEE
Date: 07-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2015
Publisher: Institution of Engineering and Technology (IET)
Date: 09-2015
Publisher: IEEE
Date: 06-2007
Publisher: IEEE
Date: 10-2010
Publisher: Hindawi Limited
Date: 14-08-2015
DOI: 10.1002/ETEP.2121
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: IEE
Date: 2006
DOI: 10.1049/CP:20062166
Publisher: IEEE
Date: 09-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2018
Publisher: IEEE
Date: 07-2015
Publisher: IEEE
Date: 10-2013
Publisher: Hindawi Limited
Date: 21-06-2015
DOI: 10.1002/ETEP.1959
Publisher: Elsevier BV
Date: 10-2022
DOI: 10.1016/J.IMMUNI.2022.08.004
Abstract: To optimize immunity to pathogens, B lymphocytes generate plasma cells with functionally erse antibody isotypes. By lineage tracing single cells within differentiating B cell clones, we identified the heritability of discrete fate controlling mechanisms to inform a general mathematical model of B cell fate regulation. Founder cells highly influenced clonal plasma-cell fate, whereas class switch recombination (CSR) was variegated within clones. In turn, these CSR patterns resulted from independent all-or-none expression of both activation-induced cytidine deaminase (AID) and IgH germline transcription (GLT), with the latter being randomly re-expressed after each cell ision. A stochastic model premised on these molecular transition rules accurately predicted antibody switching outcomes under varied conditions in vitro and during an immune response in vivo. Thus, the generation of functionally erse antibody types follows rules of autonomous cellular programming that can be adapted and modeled for the rational control of antibody classes for potential therapeutic benefit.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2003
Publisher: Hindawi Limited
Date: 17-07-2015
DOI: 10.1002/ETEP.1963
Publisher: Elsevier BV
Date: 12-2014
Publisher: Springer Science and Business Media LLC
Date: 21-05-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Elsevier BV
Date: 10-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2022
Publisher: IEEE
Date: 10-2013
Publisher: IEEE
Date: 07-2012
Publisher: Oxford University Press (OUP)
Date: 30-04-2018
Publisher: Elsevier BV
Date: 02-2015
Publisher: Elsevier BV
Date: 2016
Publisher: Elsevier BV
Date: 11-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2015
Publisher: IEEE
Date: 09-2007
Publisher: Elsevier BV
Date: 09-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2019
Publisher: IEEE
Date: 10-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Publisher: Elsevier BV
Date: 1995
Publisher: IEEE
Date: 12-2007
Publisher: IEEE
Date: 07-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2019
Publisher: IEEE
Date: 2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2018
Publisher: IEEE
Date: 11-2011
Publisher: IEEE
Date: 11-2011
Publisher: IEEE
Date: 11-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 07-2012
Publisher: IEEE
Date: 12-2010
Publisher: University of Queensland Library
Date: 1993
DOI: 10.14264/285883
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2003
Publisher: Institution of Engineering and Technology (IET)
Date: 10-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2004
Publisher: Elsevier BV
Date: 11-2012
Publisher: Public Library of Science (PLoS)
Date: 27-02-2017
Publisher: Elsevier BV
Date: 02-2010
Publisher: Elsevier BV
Date: 2014
Publisher: IEEE
Date: 2005
Publisher: IEEE
Date: 12-2007
Publisher: IEEE
Date: 09-2014
Publisher: IEEE
Date: 11-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2004
Publisher: Informa UK Limited
Date: 2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Publisher: Springer Science and Business Media LLC
Date: 12-08-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2021
Publisher: IEEE
Date: 07-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2008
Publisher: Elsevier BV
Date: 2019
DOI: 10.1016/J.YEXCR.2018.12.010
Abstract: Glioblastoma (GBM) tumor cells exhibit drug resistance and are highly infiltrative. GBM stem cells (GSCs), which have low proliferative capacity are thought to be one of the sources of resistant cells which result in relapse/recurrence. However, the molecular mechanisms regulating quiescent-specific tumor cell biology are not well understood. Using human GBM cell lines and patient-derived GBM cells, Oregon Green dye retention was used to identify and isolate the slow-cycling, quiescent-like cell subpopulation from the more proliferative cells in culture. Sensitivity of cell subpopulations to temozolomide and radiation, as well as the migration and invasive potential were measured. Differential expression analysis following RNAseq identified genes enriched in the quiescent cell subpopulation. Orthotopic transplantation of cells into mice was used to compare the in vivo malignancy and invasive capacity of the cells. Proliferative quiescence correlated with better TMZ resistance and enhanced cell invasion, in vitro and in vivo. RNAseq expression analysis identified genes involved in the regulation cell invasion/migration and a three-gene signature, TGFBI, IGFBP3, CHI3L1, overexpressed in quiescent cells which correlates with poor GBM patient survival.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2008
Publisher: IEEE
Date: 07-2008
Publisher: IEEE
Date: 07-2012
Publisher: IEEE
Date: 12-2012
Publisher: IEEE
Date: 07-2012
Publisher: IEE
Date: 2006
DOI: 10.1049/CP:20062244
Publisher: IEEE
Date: 11-2011
Publisher: IEEE
Date: 07-2010
Publisher: Elsevier BV
Date: 05-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2015
Publisher: Walter de Gruyter GmbH
Date: 06-03-2011
Abstract: Competitive market forces and the ever-growing load demand are two of the key issues that cause power systems to operate closer to their system stability boundaries. Open access has since introduced competition and therefore promotes inter-regional electrical power trades. However, the economic flows of electrical energy between interconnected regions are usually constrained by system physical limits, e.g. transmission lines capacity and generation active/reactive power capability etc. As such, there is a limitation to the capacity of electrical power that regions can export or import. This maximum allowable electrical power transfer is normally referred to as Total Transfer Capability (TTC). It is critical to understand that TTC does not necessarily represent a safe and reliable amount of inter-regional power transfer as one or more operational limits are usually binding when quantifying TTC. Hence, it is of interest that power system stability issues are being considered during power transfer capability assessment in order to provide a more appropriate and secure power transfer level.The aim of this paper is to formulate an Optimal Power Flow (OPF) algorithm, which is capable of evaluating inter-area power transfer capability considering mathematically-complex voltage collapse margins. Through a multi-objective optimization setup, the proposed OPF-based approach can reveal the nonlinear relationships, i.e. the pareto-optimal front, between transfer capability and voltage stability margins. The feasibility of this approach has been intensively tested on a 3-machine 9-bus and the IEEE 118-bus systems.
Publisher: Elsevier BV
Date: 08-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2005
Publisher: IEEE
Date: 10-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2018
Publisher: Elsevier BV
Date: 06-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2022
Publisher: IEEE
Date: 08-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2015
Publisher: IEEE
Date: 07-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2013
Publisher: IEEE
Date: 07-2015
Publisher: IEEE
Date: 07-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Publisher: IEEE
Date: 06-2007
Publisher: IEEE
Date: 07-2012
Publisher: IEEE
Date: 07-2012
Publisher: Cold Spring Harbor Laboratory
Date: 17-06-2022
DOI: 10.1101/2022.06.17.496207
Abstract: Inflammation is a key driver of cystic fibrosis (CF) lung disease, not addressed by current standard care. Improved understanding of the mechanisms leading to aberrant inflammation may assist the development of effective anti-inflammatory therapy. Single-cell RNA sequencing (scRNA-seq) allows profiling of cell composition and function at previously unprecedented resolution. Herein, we seek to use multimodal single-cell analysis to comprehensively define immune cell phenotypes, proportions and functional characteristics in preschool children with CF. We analyzed 42,658 cells from bronchoalveolar lavage of 11 preschool children with CF and a healthy control using scRNA-seq and parallel assessment of 154 cell surface proteins. Validation of cell types identified by scRNA-seq was achieved by assessment of s les by spectral flow cytometry. Analysis of transcriptome expression and cell surface protein expression, combined with functional pathway analysis, revealed 41 immune and epithelial cell populations in BAL. Spectral flow cytometry analysis of over 256,000 cells from a subset of the same patients revealed high correlation in major cell type proportions across the two technologies. Macrophages consisted of 13 functionally distinct sub populations, including previously undescribed populations enriched for markers of vesicle production and regulatory/repair functions. Other novel cell populations included CD4 T cells expressing inflammatory IFNα/β and NFκB signalling genes. Our work provides a comprehensive cellular analysis of the pediatric lower airway in preschool children with CF, reveals novel cell types and provides a reference for investigation of inflammation in early life CF.
Publisher: IEEE
Date: 07-2010
Publisher: IEEE
Date: 11-2008
Publisher: Elsevier BV
Date: 2021
Publisher: American Association for the Advancement of Science (AAAS)
Date: 17-06-2016
Abstract: The classical view of immune activation is that innate immune cells, such as macrophages and dendritic cells, recognize invading microbes and then alert adaptive immune cells, such as T cells, to respond. Arbore et al. now show that innate and adaptive immunity converge in human and mouse T cells. Activated T cells express components of the complement cascade, which in turn leads to the assembly of NLRP3 inflammasomes—both critical components of innate immunity that help hosts detect and eliminate microbes. In T cells, complement and inflammasomes work together to push T cells to differentiate into a specialized subset of T cells important for eliminating intracellular bacteria. Science , this issue p. 10.1126/science.aad1210
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2018
Publisher: IEEE
Date: 07-2011
Publisher: Elsevier BV
Date: 08-2018
DOI: 10.1016/J.CELL.2018.06.025
Abstract: Many patients with advanced cancers achieve dramatic responses to a panoply of therapeutics yet retain minimal residual disease (MRD), which ultimately results in relapse. To gain insights into the biology of MRD, we applied single-cell RNA sequencing to malignant cells isolated from BRAF mutant patient-derived xenograft melanoma cohorts exposed to concurrent RAF/MEK-inhibition. We identified distinct drug-tolerant transcriptional states, varying combinations of which co-occurred within MRDs from PDXs and biopsies of patients on treatment. One of these exhibited a neural crest stem cell (NCSC) transcriptional program largely driven by the nuclear receptor RXRG. An RXR antagonist mitigated accumulation of NCSCs in MRD and delayed the development of resistance. These data identify NCSCs as key drivers of resistance and illustrate the therapeutic potential of MRD-directed therapy. They also highlight how gene regulatory network architecture reprogramming may be therapeutically exploited to limit cellular heterogeneity, a key driver of disease progression and therapy resistance.
Publisher: IEEE
Date: 06-2007
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 06-2007
Publisher: IEEE
Date: 07-2008
Publisher: Elsevier BV
Date: 11-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1998
DOI: 10.1109/61.714487
Publisher: IEEE
Date: 09-2014
Publisher: Institution of Engineering and Technology (IET)
Date: 2011
Publisher: IEEE
Date: 10-2014
Publisher: IEEE
Date: 10-2013
Publisher: IEEE
Date: 2013
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 07-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2013
Publisher: IEEE
Date: 07-2015
Publisher: IEEE
Date: 10-2006
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2008
Publisher: IEEE
Date: 10-2012
Publisher: Institution of Engineering and Technology (IET)
Date: 10-2015
Publisher: IEEE
Date: 2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2022
Publisher: IEEE
Date: 07-2011
Publisher: The American Association of Immunologists
Date: 11-2017
Abstract: The biological significance of C5a receptor [(C5aR)2/C5L2], a seven-transmembrane receptor binding C5a and C5adesArg, remains ill-defined. Specific ligation of C5aR2 inhibits C5a-induced ERK1/2 activation, strengthening the view that C5aR2 regulates C5aR1-mediated effector functions. Although C5aR2 and C5aR1 are often coexpressed, a detailed picture of C5aR2 expression in murine cells and tissues is still lacking. To close this gap, we generated a floxed tandem dye (td)Tomato–C5aR2 knock-in mouse that we used to track C5aR2 expression in tissue-residing and circulating immune cells. We found the strongest C5aR2 expression in the brain, bone marrow, and airways. All myeloid-derived cells expressed C5aR2, although with different intensities. C5aR2 expression in blood and tissue neutrophils was strong and homogeneous. Specific ligation of C5aR2 in neutrophils from tdTomato–C5aR2 mice blocked C5a-driven ERK1/2 phosphorylation, demonstrating functionality of C5aR2 in the reporter mice. In contrast to neutrophils, we found tissue-specific differences in C5aR2 expression in eosinophils, macrophages, and dendritic cell subsets. Naive and activated T cells stained negative for C5aR2, whereas B cells from different tissues homogeneously expressed C5aR2. Also, NK cell subsets in blood and spleen strongly expressed C5aR2. Activation of C5aR2 in NK cells suppressed IL-12/IL-18–induced IFN-γ production. Intratracheal IL-33 challenge resulted in decreased C5aR2 expression in pulmonary eosinophils and monocyte-derived dendritic cells. In summary, we provide a detailed map of murine C5aR2 immune cell expression in different tissues under steady-state conditions and upon pulmonary inflammation. The C5aR2 knock-in mouse will help to reliably track and conditionally delete C5aR2 expression in experimental models of inflammation.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: IEEE
Date: 2013
Publisher: IEEE
Date: 07-2012
Publisher: IEEE
Date: 07-2009
Publisher: IEEE
Date: 11-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 1999
DOI: 10.1109/61.796229
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2014
Publisher: Elsevier BV
Date: 07-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2023
Publisher: IEEE
Date: 07-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2021
Publisher: IEEE
Date: 12-2010
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2013
Publisher: IEEE
Date: 06-2007
Publisher: IEEE
Date: 06-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2003
Publisher: IEEE
Date: 07-2008
Publisher: IEEE
Date: 06-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 07-2014
Publisher: MDPI AG
Date: 31-03-2016
DOI: 10.3390/EN9040258
Publisher: Elsevier BV
Date: 11-2014
Publisher: IEEE
Date: 2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Publisher: Elsevier BV
Date: 2022
Publisher: IEEE
Date: 07-2010
Publisher: IEEE
Date: 07-2011
Publisher: IEEE
Date: 07-2014
Publisher: Walter de Gruyter GmbH
Date: 22-07-2010
Abstract: A new probabilistic model to simulate generation investment and risks applicable in a deregulated market is proposed. In this process, probabilistic production cost simulation is applied to simulate energy dispatches. Electricity prices are simulated from a modified Black-Scholes-Merton (BSM) based price simulation model. In this work, the existing BSM model is enhanced thus making it possible to simulate the demand and supply conditions in price determination. A complete investment analysis model is then developed by integrating the above two simulation processes. Using this model, generator investors can analyze the impacts on the anticipated revenue due to different plant efficiency, availabilities, bilateral contract markets and changes in demand and supply conditions. Simulated results show that the proposed model is able to analyse the viability in generation investment with much simplicity.
Publisher: IEEE
Date: 12-2014
Publisher: Elsevier BV
Date: 02-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2008
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 12-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2015
Publisher: Informa UK Limited
Date: 02-01-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Publisher: IEEE
Date: 07-2012
Publisher: Elsevier BV
Date: 11-2021
Publisher: IEEE
Date: 07-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2020
Publisher: IEEE
Date: 11-2011
Publisher: IEEE
Date: 07-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2015
Publisher: Elsevier BV
Date: 10-2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2012
Publisher: IEEE
Date: 07-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2023
Publisher: Springer Science and Business Media LLC
Date: 04-2018
DOI: 10.1038/S41586-018-0040-3
Abstract: In cancer, the epithelial-to-mesenchymal transition (EMT) is associated with tumour stemness, metastasis and resistance to therapy. It has recently been proposed that, rather than being a binary process, EMT occurs through distinct intermediate states. However, there is no direct in vivo evidence for this idea. Here we screen a large panel of cell surface markers in skin and mammary primary tumours, and identify the existence of multiple tumour subpopulations associated with different EMT stages: from epithelial to completely mesenchymal states, passing through intermediate hybrid states. Although all EMT subpopulations presented similar tumour-propagating cell capacity, they displayed differences in cellular plasticity, invasiveness and metastatic potential. Their transcriptional and epigenetic landscapes identify the underlying gene regulatory networks, transcription factors and signalling pathways that control these different EMT transition states. Finally, these tumour subpopulations are localized in different niches that differentially regulate EMT transition states.
Publisher: IEEE
Date: 07-2009
Publisher: IEEE
Date: 07-2008
Publisher: Cold Spring Harbor Laboratory
Date: 13-01-2023
DOI: 10.1101/2023.01.13.521174
Abstract: Single-cell multi-omics methods are enabling the study of cell state ersity, which is largely determined by the interplay of the genome, epigenome, and transcriptome. Here, we describe Gtag& T-seq, a genome-and-transcriptome sequencing (G& T-seq) protocol of the same single cells that omits whole-genome lification (WGA) by using direct genomic tagmentation (Gtag). Gtag drastically decreases the cost and improves coverage uniformity at both the single-cell and pseudo-bulk level when compared to WGA-based G& T-seq. We also show that transcriptome-based DNA copy number inference has limited resolution and accuracy, underlining the importance of affordable multi-omic approaches. Moreover, applying Gtag& T-seq to a melanoma xenograft model before treatment and at minimal residual disease revealed differential cell state plasticity and treatment response between cancer subclones. In summary, Gtag& T-seq is a low-cost and accurate single-cell multi-omics method enabling the exploration of genetic alterations and their functional consequences in single cells at scale.
Publisher: IEEE
Date: 2000
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2022
Publisher: IEEE
Date: 10-2012
Publisher: Springer Science and Business Media LLC
Date: 18-02-2021
DOI: 10.1038/S41467-021-21297-Y
Abstract: Regulatory CD4 + T cells (Treg) prevent tumor clearance by conventional T cells (Tconv) comprising a major obstacle of cancer immune-surveillance. Hitherto, the mechanisms of Treg repertoire formation in human cancers remain largely unclear. Here, we analyze Treg clonal origin in breast cancer patients using T-Cell Receptor and single-cell transcriptome sequencing. While Treg in peripheral blood and breast tumors are clonally distinct, Tconv clones, including tumor-antigen reactive effectors (Teff), are detected in both compartments. Tumor-infiltrating CD4 + cells accumulate into distinct transcriptome clusters, including early activated Tconv, uncommitted Teff, Th1 Teff, suppressive Treg and pro-tumorigenic Treg. Trajectory analysis suggests early activated Tconv differentiation either into Th1 Teff or into suppressive and pro-tumorigenic Treg. Importantly, Tconv, activated Tconv and Treg share highly-expanded clones contributing up to 65% of intratumoral Treg. Here we show that Treg in human breast cancer may considerably stem from antigen-experienced Tconv converting into secondary induced Treg through intratumoral activation.
Publisher: Institution of Engineering and Technology (IET)
Date: 18-02-2022
DOI: 10.1049/GTD2.12378
Publisher: IEEE
Date: 07-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2003
Publisher: IEEE
Date: 11-2011
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 07-2012
Publisher: IEEE
Date: 09-2014
Publisher: IEEE
Date: 07-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2023
Publisher: Elsevier BV
Date: 10-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2012
Publisher: Elsevier BV
Date: 11-2023
Publisher: IEEE
Date: 07-2011
Publisher: IEEE
Date: 03-2011
Publisher: IEEE
Date: 12-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2013
Publisher: IEEE
Date: 09-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2018
Publisher: IEEE
Date: 07-2011
Publisher: Elsevier BV
Date: 06-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2018
Publisher: American Association for Cancer Research (AACR)
Date: 15-11-2019
DOI: 10.1158/0008-5472.CAN-19-0037
Abstract: This study provides a useful model for MITF-low melanomas and MITF-independent cell populations that can be used to study the mechanisms that drive these tumors as well as identify potential therapeutic options.
Publisher: IEEE
Date: 09-2014
Publisher: Elsevier BV
Date: 12-2003
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2019
Publisher: IEEE
Date: 07-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: IEEE
Date: 07-2014
Publisher: IEEE
Date: 10-2010
Publisher: Elsevier BV
Date: 03-2020
Publisher: IEEE
Date: 07-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Publisher: Springer Science and Business Media LLC
Date: 05-2008
DOI: 10.1038/NM1753
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2018
Publisher: Elsevier BV
Date: 02-1996
Publisher: IEEE
Date: 07-2015
Publisher: IEEE
Date: 07-2015
Publisher: Institution of Engineering and Technology (IET)
Date: 09-2015
Publisher: IEEE
Date: 06-2007
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2014
Publisher: IEEE
Date: 2013
Publisher: Elsevier BV
Date: 11-2013
Publisher: IEEE
Date: 2013
Publisher: Elsevier BV
Date: 02-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-1986
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2015
Publisher: Elsevier BV
Date: 11-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: IEEE
Date: 07-2015
Publisher: IEEE
Date: 07-2012
Publisher: IEEE
Date: 10-2006
Publisher: Elsevier BV
Date: 03-2014
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2005
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: IEEE
Date: 12-2014
Publisher: IEEE
Date: 12-2014
Publisher: IEEE
Date: 07-2011
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-1986
Publisher: IEEE
Date: 07-2011
Publisher: IEEE
Date: 07-2014
Publisher: American Association for Cancer Research (AACR)
Date: 08-2011
DOI: 10.1158/1535-7163.MCT-11-0240
Abstract: The phosphatidylinositol 3-kinase (PI3K)/Akt pathway is commonly dysregulated in human cancer, making it an attractive target for novel anticancer therapeutics. We have used a mouse model of ovarian cancer generated by KrasG12D activation and Pten deletion in the ovarian surface epithelium for the preclinical assessment of a novel PI3K/mTOR inhibitor PF-04691502. To enable higher throughput studies, we developed an orthotopic primary transplant model from these mice and evaluated therapeutic response to PF-04691502 using small-animal ultrasound and FDG-PET imaging. PF-04691502 inhibited tumor growth at 7 days by 72% ± 9. FDG-PET imaging revealed that PF-04691502 reduced glucose metabolism dramatically, suggesting FDG-PET may be exploited as an imaging biomarker of target inhibition by PF-04691502. Tissue biomarkers of PI3K/mTOR pathway activity, p-AKT (S473), and p-RPS6 (S240/244), were also dramatically inhibited following PF-04691502 treatment. However, as a single agent, PF-04691502 did not induce tumor regression and the long-term efficacy was limited, with tumor proliferation continuing in the presence of drug treatment. We hypothesized that tumor progression was because of concomitant activation of the mitogen-activated protein kinase pathway downstream of KrasG12D expression promoting cell survival and that the therapeutic effect of PF-04691502 would be enhanced by combinatory inhibition of MEK using PD-0325901. This combination induced striking tumor regression, apoptosis associated with upregulation of Bim and downregulation of Mcl-1, and greatly improved duration of survival. These data suggest that contemporaneous MEK inhibition enhances the cytotoxicity associated with abrogation of PI3K/mTOR signaling, converting tumor growth inhibition to tumor regression in a mouse model of ovarian cancer driven by PTEN loss and mutant K-Ras. Mol Cancer Ther 10(8) 1440–9. ©2011 AACR.
Publisher: IMR Press
Date: 2014
DOI: 10.2741/4264
Abstract: The understanding of how cancer stem cells (CSCs) or tumor-initiating cells (TICs) behave is important in understanding how tumors are initiated and how they recur following initial treatment. More specifically to understand how CSCs behave, the different signaling mechanisms orchestrating their growth, cell cycle dynamics, differentiation, trans-differentiation and survival following cytotoxic challenges need to be deciphered. Ultimately this will advance the ability to predict how these cells will behave in in idual patients and under different therapeutic conditions. Second or next-generation sequencing (NGS) capabilities have provided researchers a window into the molecular and genetic clockwork of CSCs at an unprecedented resolution and depth, with throughput capabilities allowing sequencing of hundreds of s les in relatively short timeframes and at relatively modest costs More specifically NGS gives us the ability to accurately determine the genomic and transcriptomic nature of CSCs. These technologies and the publicly available cancer genome databases, together with the ever increasing computing power available to researchers locally or via cloud-based servers are changing the way biomedical cancer research is approached.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2021
Location: United States of America
Location: Bangladesh
Start Date: 2007
End Date: 2009
Funder: Australian Research Council
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Funder: Australian Research Council
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End Date: 2010
Funder: Australian Research Council
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End Date: 2013
Funder: Australian Research Council
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End Date: 2013
Funder: Australian Research Council
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Funder: Australian Research Council
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Funder: Australian Research Council
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Funder: Queensland Government
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Funder: Australian Research Council
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Funder: Australian Research Council
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Funder: Australian Research Council
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Funder: Australian Research Council
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Funder: Australian Research Council
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