The Experts below are selected from a list of 159309 Experts worldwide ranked by ideXlab platform
Bungo Furusato - One of the best experts on this subject based on the ideXlab platform.
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Erg oncoprotein expression in prostate cancer clonal progression of Erg positive tumor cells and potential for Erg based stratification
Prostate Cancer and Prostatic Diseases, 2010Co-Authors: Bungo Furusato, Denise Y Young, Albert Dobi, Ahmed A Mohamed, Rajesh L Thangapazham, Yongmei Chen, Gary Mcmaster, Taduru Sreenath, Gyorgy PetrovicsAbstract:Gene fusions prevalent in prostate cancer (CaP) lead to the elevated expression of the Erg proto-oncogene. Erg activation present in 50–70% of prostate tumors underscores one of the most common oncogenic alterations in CaP. Despite numerous reports of gene fusions and mRNA expression, Erg oncoprotein status in CaP still remains to be defined. Furthermore, development of Erg protein-based assays may provide a new dimension to evaluation of gene fusions involving diverse androgen-regulated promoters and the Erg protein-coding sequence. Through exhaustive evaluations of 132 whole-mount prostates (261 tumor foci and over 200 000 benign glands) for the Erg oncoprotein nuclear expression, we demonstrated 99.9% specificity for detecting prostate tumor cells using a highly specific anti-Erg monoclonal antibody. The Erg oncoprotein expression correlated well with fusion transcript or gene fusion in randomly selected specimens. Strong concordance of Erg-positive foci of prostatic intraepithelial neoplasia (PIN) with Erg-positive carcinoma (82 out of 85 sections with PIN, 96.5%) affirms the biological role of Erg in clonal selection of prostate tumors in 65% (86 out of 132) of patients. Conversely, Erg negative PINs were associated with Erg-negative carcinoma. Taken together, the homogeneous and strong Erg expression detected in individual tumors establishes the potential for Erg oncoprotein-based stratification of CaP.
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Abstract 30: Erg oncoprotein expression in prostate cancer: Potential for Erg-based stratification
Cancer Research, 2010Co-Authors: Bungo Furusato, Albert Dobi, Rajesh L Thangapazham, Yongmei Chen, Gary Mcmaster, Denise Young, Ahmed Mohamed, Taduru SreenathAbstract:Proceedings: AACR 101st Annual Meeting 2010‐‐ Apr 17‐21, 2010; Washington, DC Introduction: Prevalent gene fusions involving regulatory sequences of the androgen receptor (AR) regulated prostate associated genes (predominantly TMPRSS2) and protein coding sequences of nuclear transcription factors in the ETS gene family (primarily Erg), result in frequent overexpression of Erg in prostate tumors. EmErging studies suggest oncogenic functions of Erg in prostate cancer (CaP). Despite numerous reports of gene fusions and mRNA expression, Erg oncoprotein in CaP still remains to be defined. Using an anti-Erg monoclonal antibody (Erg-MAb) developed by our group, a global view of Erg oncoprotein expression has been established in the context of multi-focal CaP. Experimental procedures: Specificity of the Erg MAb was established using wt Erg and TMPRRSS2-Erg encoded proteins expressed in HEK 293 cells and Erg si RNA treated VCaP cells harboring TMPRRSS2-Erg fusion. Erg expression in formalin fixed paraffin embedded (FFPE), whole mount-prostate specimens was optimized by immuno-histochemistry assay. TMPRSS2-Erg fusion status in representative specimens was analyzed by b-DNA assay or fluorescent in situ hybridization (FISH). Results: Through exhaustive evaluations of 132 whole-mount prostates (227 tumor foci and over 200,000 benign glands), we demonstrate 99.9 % specificity of an anti-Erg monoclonal antibody. Specimens from over 60% patients had one or more Erg positive tumor focus. Over 80% concordance was noted between the presence of Erg protein and the common TMPRSS2-Erg fusion (A type) transcript in representative specimens from 35 pateints. Conclusions: Unequivocal association of focally Erg positive PIN lesions with Erg positive carcinoma (80 out of 80 specimens) and vice versa (52 out of 52 specimens) strongly affirms biological role of Erg in clonal progression of prostate tumors. Taken together, the homogeneous and strong Erg expression in individual tumors establishes the potential for Erg based stratification of prostate cancers. Funding sources: NIH Grants RO1 DK065977 and Center for Prostate Disease Research Program HU001-04-C-1502 Note: This abstract was not presented at the AACR 101st Annual Meeting 2010 because the presenter was unable to attend. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 30.
Baoliang Lu - One of the best experts on this subject based on the ideXlab platform.
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a multimodal approach to estimating vigilance using eeg and forehead eog
Journal of Neural Engineering, 2017Co-Authors: Weilong Zheng, Baoliang LuAbstract:OBJECTIVE:Covert aspects of ongoing user mental states provide key context information for user-aware human computer interactions. In this paper, we focus on the problem of estimating the vigilance of users using EEG and EOG signals. APPROACH:The PERCLOS index as vigilance annotation is obtained from eye tracking glasses. To improve the feasibility and wearability of vigilance estimation devices for real-world applications, we adopt a novel electrode placement for forehead EOG and extract various eye movement features, which contain the principal information of traditional EOG. We explore the effects of EEG from different brain areas and combine EEG and forehead EOG to leverage their complementary characteristics for vigilance estimation. Considering that the vigilance of users is a dynamic changing process because the intrinsic mental states of users involve temporal evolution, we introduce continuous conditional neural field and continuous conditional random field models to capture dynamic temporal dependency. MAIN RESULTS:We propose a multimodal approach to estimating vigilance by combining EEG and forehead EOG and incorporating the temporal dependency of vigilance into model training. The experimental results demonstrate that modality fusion can improve the performance compared with a single modality, EOG and EEG contain complementary information for vigilance estimation, and the temporal dependency-based models can enhance the performance of vigilance estimation. From the experimental results, we observe that theta and alpha frequency activities are increased, while gamma frequency activities are decreased in drowsy states in contrast to awake states. SIGNIFICANCE:The forehead setup allows for the simultaneous collection of EEG and EOG and achieves comparative performance using only four shared electrodes in comparison with the temporal and posterior sites.
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a multimodal approach to estimating vigilance using eeg and forehead eog
arXiv: Human-Computer Interaction, 2016Co-Authors: Weilong Zheng, Baoliang LuAbstract:Objective. Covert aspects of ongoing user mental states provide key context information for user-aware human computer interactions. In this paper, we focus on the problem of estimating the vigilance of users using EEG and EOG signals. Approach. To improve the feasibility and wearability of vigilance estimation devices for real-world applications, we adopt a novel electrode placement for forehead EOG and extract various eye movement features, which contain the principal information of traditional EOG. We explore the effects of EEG from different brain areas and combine EEG and forehead EOG to leverage their complementary characteristics for vigilance estimation. Considering that the vigilance of users is a dynamic changing process because the intrinsic mental states of users involve temporal evolution, we introduce continuous conditional neural field and continuous conditional random field models to capture dynamic temporal dependency. Main results. We propose a multimodal approach to estimating vigilance by combining EEG and forehead EOG and incorporating the temporal dependency of vigilance into model training. The experimental results demonstrate that modality fusion can improve the performance compared with a single modality, EOG and EEG contain complementary information for vigilance estimation, and the temporal dependency-based models can enhance the performance of vigilance estimation. From the experimental results, we observe that theta and alpha frequency activities are increased, while gamma frequency activities are decreased in drowsy states in contrast to awake states. Significance. The forehead setup allows for the simultaneous collection of EEG and EOG and achieves comparative performance using only four shared electrodes in comparison with the temporal and posterior sites.
Mohammed F. Tolba - One of the best experts on this subject based on the ideXlab platform.
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EEG-EOG based Virtual Keyboard: Toward Hybrid Brain Computer Interface
Neuroinformatics, 2019Co-Authors: Sarah M. Hosni, Mai S. Mabrouk, Howida AbdelFattah Shedeed, Mohammed F. TolbaAbstract:The past twenty years have ignited a new spark in the research of Electroencephalogram (EEG), which was pursued to develop innovative Brain Computer Interfaces (BCIs) in order to help severely disabled people live a better life with a high degree of independence. Current BCIs are more theoretical than practical and are suffering from numerous challenges. New trends of research propose combining EEG to other simple and efficient bioelectric inputs such as Electro-oculography (EOG) resulting from eye movements, to produce more practical and robust Hybrid Brain Computer Interface systems (hBCI) or Brain/Neuronal Computer Interface (BNCI). Working towards this purpose, existing research in EOG based Human Computer Interaction (HCI) applications, must be organized and surveyed in order to develop a vision on the potential benefits of combining both input modalities and give rise to new designs that maximize these benefits. Our aim is to support and inspire the design of new hBCI systems based on both EEG and EOG signals, in doing so; first the current EOG based HCI systems were surveyed with a particular focus on EOG based systems for communication using virtual keyboard. Then, a survey of the current EEG-EOG virtual keyboard was performed highlighting the design protocols employed. We concluded with a discussion of the potential advantages of combining both systems with recommendations to give deep insight for future design issues for all EEG-EOG hBCI systems. Finally, a general architecture was proposed for a new EEG-EOG hBCI system. The proposed hybrid system completely alters the traditional view of the eye movement features present in EEG signal as artifacts that should be removed; instead EOG traces are extracted from EEG in our proposed hybrid architecture and are considered as an additional input modality sharing control according to the chosen design protocol.
Gyorgy Petrovics - One of the best experts on this subject based on the ideXlab platform.
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Erg protein expression in prostate and vascular tumors: A potential for Erg-based stratification.
Journal of Clinical Oncology, 2011Co-Authors: Gyorgy Petrovics, Albert Dobi, Taduru Sreenath, Denise Young, Zengfeng Wang, Anders Paetau, Youngmei Chen, Stephen A. Brassell, Markku MiettinenAbstract:e15171 Background: Frequent overexpression of Erg in prostate tumors is a result of prevalent gene fusions involving upstream sequences of androgen regulated genes (predominantly TMPRSS2) and downstream coding sequences of nuclear transcription factors within the ETS gene family (primarily Erg). Despite numerous reports of Erg alterations at the transcript and genome levels, the Erg oncoprotein remains to be defined. Using a highly specific Erg monoclonal antibody, we have recently developed a comprehensive insight into Erg expression in various cell types of benign and malignant prostate glands. Further, we have analyzed Erg protein expression in human tumors of diverse origins. Methods: Using whole-mount prostate sections from 150 prostatectomy specimens, Erg protein expression was analyzed in PIN, tumor foci, benign glands and other cell types in prostate. In randomly selected cases Erg protein expression was correlated with Erg fusion status. A broad range of vascular endothelial (n=250), other mesenc...
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Erg oncoprotein expression in prostate cancer clonal progression of Erg positive tumor cells and potential for Erg based stratification
Prostate Cancer and Prostatic Diseases, 2010Co-Authors: Bungo Furusato, Denise Y Young, Albert Dobi, Ahmed A Mohamed, Rajesh L Thangapazham, Yongmei Chen, Gary Mcmaster, Taduru Sreenath, Gyorgy PetrovicsAbstract:Gene fusions prevalent in prostate cancer (CaP) lead to the elevated expression of the Erg proto-oncogene. Erg activation present in 50–70% of prostate tumors underscores one of the most common oncogenic alterations in CaP. Despite numerous reports of gene fusions and mRNA expression, Erg oncoprotein status in CaP still remains to be defined. Furthermore, development of Erg protein-based assays may provide a new dimension to evaluation of gene fusions involving diverse androgen-regulated promoters and the Erg protein-coding sequence. Through exhaustive evaluations of 132 whole-mount prostates (261 tumor foci and over 200 000 benign glands) for the Erg oncoprotein nuclear expression, we demonstrated 99.9% specificity for detecting prostate tumor cells using a highly specific anti-Erg monoclonal antibody. The Erg oncoprotein expression correlated well with fusion transcript or gene fusion in randomly selected specimens. Strong concordance of Erg-positive foci of prostatic intraepithelial neoplasia (PIN) with Erg-positive carcinoma (82 out of 85 sections with PIN, 96.5%) affirms the biological role of Erg in clonal selection of prostate tumors in 65% (86 out of 132) of patients. Conversely, Erg negative PINs were associated with Erg-negative carcinoma. Taken together, the homogeneous and strong Erg expression detected in individual tumors establishes the potential for Erg oncoprotein-based stratification of CaP.
Weilong Zheng - One of the best experts on this subject based on the ideXlab platform.
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a multimodal approach to estimating vigilance using eeg and forehead eog
Journal of Neural Engineering, 2017Co-Authors: Weilong Zheng, Baoliang LuAbstract:OBJECTIVE:Covert aspects of ongoing user mental states provide key context information for user-aware human computer interactions. In this paper, we focus on the problem of estimating the vigilance of users using EEG and EOG signals. APPROACH:The PERCLOS index as vigilance annotation is obtained from eye tracking glasses. To improve the feasibility and wearability of vigilance estimation devices for real-world applications, we adopt a novel electrode placement for forehead EOG and extract various eye movement features, which contain the principal information of traditional EOG. We explore the effects of EEG from different brain areas and combine EEG and forehead EOG to leverage their complementary characteristics for vigilance estimation. Considering that the vigilance of users is a dynamic changing process because the intrinsic mental states of users involve temporal evolution, we introduce continuous conditional neural field and continuous conditional random field models to capture dynamic temporal dependency. MAIN RESULTS:We propose a multimodal approach to estimating vigilance by combining EEG and forehead EOG and incorporating the temporal dependency of vigilance into model training. The experimental results demonstrate that modality fusion can improve the performance compared with a single modality, EOG and EEG contain complementary information for vigilance estimation, and the temporal dependency-based models can enhance the performance of vigilance estimation. From the experimental results, we observe that theta and alpha frequency activities are increased, while gamma frequency activities are decreased in drowsy states in contrast to awake states. SIGNIFICANCE:The forehead setup allows for the simultaneous collection of EEG and EOG and achieves comparative performance using only four shared electrodes in comparison with the temporal and posterior sites.
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a multimodal approach to estimating vigilance using eeg and forehead eog
arXiv: Human-Computer Interaction, 2016Co-Authors: Weilong Zheng, Baoliang LuAbstract:Objective. Covert aspects of ongoing user mental states provide key context information for user-aware human computer interactions. In this paper, we focus on the problem of estimating the vigilance of users using EEG and EOG signals. Approach. To improve the feasibility and wearability of vigilance estimation devices for real-world applications, we adopt a novel electrode placement for forehead EOG and extract various eye movement features, which contain the principal information of traditional EOG. We explore the effects of EEG from different brain areas and combine EEG and forehead EOG to leverage their complementary characteristics for vigilance estimation. Considering that the vigilance of users is a dynamic changing process because the intrinsic mental states of users involve temporal evolution, we introduce continuous conditional neural field and continuous conditional random field models to capture dynamic temporal dependency. Main results. We propose a multimodal approach to estimating vigilance by combining EEG and forehead EOG and incorporating the temporal dependency of vigilance into model training. The experimental results demonstrate that modality fusion can improve the performance compared with a single modality, EOG and EEG contain complementary information for vigilance estimation, and the temporal dependency-based models can enhance the performance of vigilance estimation. From the experimental results, we observe that theta and alpha frequency activities are increased, while gamma frequency activities are decreased in drowsy states in contrast to awake states. Significance. The forehead setup allows for the simultaneous collection of EEG and EOG and achieves comparative performance using only four shared electrodes in comparison with the temporal and posterior sites.