385 research outputs found
Hepatocyte specific GP73/GOLM1 knockout mice and human hepatocellular carcinoma cell lines provide insights into the potential roles of GP73 HCC serum biomarker
Golgi Protein -- 73kDa (GP73/GOLM1) is a resident cis-Golgi Type II membrane protein that is nearly undetectable in normal hepatocytes, but its expression increases in hepatocytes during hepatocellular carcinoma (HCC) and its serum levels increase in patients with chronic hepatitis C infection and HCC, yet its biological role in the liver and in the pathogenesis of HCC remains unclear. In order to investigate possible biological roles for GP73, hepatocyte-specific GOLM1 null mice (C57BL/6) were created using the Cre-loxP system, with floxed GOLM1 gene exon 3 and Cre recombinase driven by the albumin promoter. Mouse genotypes were confirmed by PCR analysis. GOLM1Fl/Fl/Cre(+) animals showed no obvious biological phenotype compared to their Cre(-) littermates. They exhibited normal growth, behaviors, and mated successfully, suggesting that hepatic GP73 is not vital for normal physiological function. Consistent with clinical observations in humans, GP73 expression increased in a chemically induced model of mouse liver fibrosis and carcinogenesis. Examination of GP73 expression in 14 human HCC cell lines revealed that GP73 is consistently expressed in mesenchymal HCC cells (modeling metastatic) but not in most epithelial HCC cell lines. Cell invasion assays indicated that mesenchymal HCC with high GP73 expression were more invasive suggesting a potential role for this protein in metastasis. Silencing in invasive mesenchymal HCC cells suggested that GP73 is necessary for enhanced cell proliferation and over-expression in a non-invasive epithelial HCC cell line suggested that GP73 is sufficient to induce epithelial to mesenchymal transition (EMT) and metastasis. Collectively the results suggest GP73 will serve as a potential therapeutic target for treatment of advanced HCC and that the hepatocyte-specific GP73 knockout mice will serve as a valuable tool to investigate the role of GP73 in HCC development
Ideas for rent: an overview of markets for technology
This article surveys some of the recent literature on technology markets, and summarizes its main issues and insights. We structure our analysis in three parts: the supply and demand of technology; the factors that condition the formation and growth of technology markets; industry structure and dynamic issues. In addition, we summarize some of the studies that have tried to document the size and growth of these markets. We find that the literature has focused mainly on the supply of technology, but several other aspects of these markets remain under-studied, including the demand for external technology, the role of uncertainty in technology markets, and the dynamic interaction between industry structure and the market for technology. Understanding these will illuminate whether markets for technology will continue to grow or remained confined to pockets of the economy. Copyright 2010 The Author 2010. Published by Oxford University Press on behalf of Associazione ICC. All rights reserved., Oxford University Press.
Metrics for analytics and visualization of big data with applications to activity recognition
Activity recognition systems detect the hidden actions of an agent from sensor measurements made on the agents' actions and the environmental conditions. For such systems, metrics are important for both performance evaluation and visualization purposes. In this thesis, such metrics are developed and illustrated. For human activity recognition datasets, a reporting structure is described to visualize the metrics in a systematic manner. The other contribution of this thesis is to describe a visualization tool for estimating the orientation (attitude) of a rigid body from streaming motion sensor (accelerometer and gyroscope) data. A feedback particle filter (FPF) is implemented algorithmically to solve the estimation problem.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2018-05-01The student, Rohan Arora, accepted the attached license on 2016-04-25 at 10:47.The student, Rohan Arora, submitted this Thesis for approval on 2016-04-25 at 10:48.This Thesis was approved for publication on 2016-04-27 at 15:05.DSpace SAF Submission Ingestion Package generated from Vireo submission #9459 on 2016-07-07 at 14:17:57Made available in DSpace on 2016-07-07T21:18:02Z (GMT). No. of bitstreams: 2
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Abstract 5248: Pioglitazone prevents hepatocellular carcinoma development in a rat model of cirrhosis
Abstract
Introduction: Advanced hepatocellular carcinoma (HCC) is a leading cause of mortality worldwide with limited treatment options. There is a readily identifiable cohort of cirrhosis patients at risk and they are ideal candidates for chemoprevention. Anti-hyperglycemic agents have garnered interest for their potential anti-fibrotic as well as chemo-preventive effects. Pioglitazone, a selective PPAR-γ agonist, has been shown to reduce non-alcoholic steatohepatitis (NASH), but its role as an anti-fibrotic and chemopreventive agent has yet to be elucidated. The hypothesis of this study is that Pioglitazone reduces cirrhosis and subsequent HCC development in rats with diethylnitrosamine (DEN)-induced cirrhosis.
Methods: Male Wistar received DEN 50mg/kg by intraperitoneal injection. DEN injury reliably recapitulates histological and molecular features of human HCC development with induction of hepatic fibrosis at 8 weeks, cirrhosis at 12 weeks, and HCC by 18 weeks. DEN-injured rats were randomized to receive oral gavage of pioglitazone at 3mg/kg/day (n=9) or vehicle control (n=9). Initiation of pioglitazone coincided with the development of liver fibrosis at 8 weeks. All animals were sacrificed at 18 weeks.
Results: As expected, repeated injections of DEN in rats resulted in progressive fibrosis, cirrhosis, followed by HCC formation. Treatment with pioglitazone resulted in a 56% reduction of surface nodules relative to treatment with vehicle (7.4±4.9 vs. 17±7; p<0.005). Liver sections were stained by picrosirius red to assess fibrosis and pioglitazone significantly reduced collagen deposition in DEN-injured rats (collagen proportional area = 3.2±1.8% vs. 9.2±2%; p<0.035). This histologic observation was further confirmed by gene expression analysis with reductions in collagen-I, α-smooth muscle actin, and transforming growth factor beta in rats treated with pioglitazone. Finally, weekly injection of DEN also caused a significant decrease in overall body weight in comparison to untreated rats (398.1±60 vs. 598±46 grams; p<0.015), and pioglitazone treatment resulted in a trend for better protection of body weight relative to vehicle (398.1±60 vs. 427.5±56.3 grams).
Conclusion: Overall our data supports the hypothesis that the anti-diabetic agent pioglitazone may be repurposed as a drug to reduce fibrosis and prevent HCC. This could be beneficiary in patient management given the low cost as well as minimal side effects.
Citation Format: Shen Li, Sarani Ghoshal, Gunisha Arora, Derek J. Erstad, Michael Lanuti, Kenneth K. Tanabe, Bryan C. Fuchs. Pioglitazone prevents hepatocellular carcinoma development in a rat model of cirrhosis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5248. doi:10.1158/1538-7445.AM2017-5248</jats:p
First generation Asian immigrants and mental health treatment
Any first generation immigrant has a hard time assimilating to life in a new country, and this holds true for the Asian population and their mental health (Arora et al., 2020). This project focused on what impacts mental health of first generation Asian immigrants.Research presentationFaculty Mentor: Dr. Kathy Andrese
Towards automated classification of fine-art painting style: a comparative study
This thesis presents a comparative study of different classification methodologies for the task of fine-art genre classification. The problem of painting classification involves classifying new unknown paintings among different art genres. Two-level comparative study is performed for this classification problem. The first level reviews the performance of discriminative vs. generative models while the second level touches the features aspect of the paintings and compares Semantic-level features vs low-level and intermediate-level features present in the painting. Three models are studied and compared, namely - 1) A Discriminative model using a Bag-of-Words (BoW) approach; 2) A Generative model using BoW; 3) Discriminative model using Semantic-level features. Various experiments and techniques like Bag of Words model, Topic models and Classeme features are employed to get insights into potential of these automatic classification techniques for painting styles.M.S.Includes bibliographical referencesby Ravneet Singh Aror
Micro-power Pulsed-Doppler Radar Clutter and Displacement Source Classification Dataset
This is the official dataset for the ACM BuildSys 2019 publication One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification.
The training code for MSC-RNN can be found at https://github.com/dhruboroy29/MSCRNN
Kindly cite this work as:
@article{roy2019one,
title={One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification},
author={Roy, Dhrubojyoti and Srivastava, Sangeeta and Kusupati, Aditya and Jain, Pranshu and Varma, Manik and Arora, Anish},
journal={arXiv preprint arXiv:1909.03082},
year={2019}
}
</pre
Correction to: Visual acuity correlates with multimodal imaging-based categories of central serous chorioretinopathy (Eye, (2021), 10.1038/s41433-021-01788-4)
In this article the author name Ramesh Venkatesh was incorrectly written as Ramesh Vankatesh. The original article has been corrected
LoRaWAN Class B Multicast Scalability
LoRaWAN has emerged as a popular IoT commu- nications technology. It comes with three classes of operation: A, B, and C. Although many IoT use-cases, like Firmware-over- the-Air updates, require multicast, Class A cannot be used for that purpose. Class C can, but consumes a lot of energy. This leaves Class B. In this paper, we investigate Class B multicast and its scalability properties. Issues like multicast member capacity, beacon blocking, and beacon collisions are highlighted, and several approaches to mitigate them are proposed: (1) “Ping-Slot Relaying,” to allow for more multicast members, (2) a scheduling approach indicating when to best send multicast packets, and (3) “Dynamic Region Formation” to coordinate the sending of beacons over multiple gateways. The proposed solutions do not require any modifications to the LoRaWAN protocol.Virtual/online event due to COVID-19 accepted author manuscriptEmbedded System
Search for pair-produced heavy fourth-generation bottom-like quarks decaying to bZ and tW in 8,TeV proton-proton collisions with multilepton final states
We present a search for anomalous production of events with three or more isolated leptons produced in proton-proton collisions at 8 TeV collected by the CMS experiment at the LHC. We analyze 9.2 /fb of data collected by the CMS experiment during the 2012 LHC run. We categorize observed multilepton events into exclusive search channels based on various quantities based on the identity and kinematics of the objects in the events. The search channels are ordered by the amount of expected Standard Model background. Explicit use of requirements such as missing transverse energy or total hadronic energy is avoided. We emphasize data-based estimation of the Standard Model backgrounds, but also use simulation to estimate some of the backgrounds when appropriate. We interpret search results in the context of a model involving the exotic bottom-like quark bprime decaying to two different modes bZ and tW with varying branching ratios. We derive exclusion limits as a function of the bprime mass as well as the branching ratios.Ph. D.Includes bibliographical referencesby Sanjay R. Aror
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