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Effects of triggers of senescence and senolysis in murine pancreatic cancer cells

Hepatobiliary & Pancreatic Diseases International 2024年第6期23卷 628-637页

作者： Denis Revskij Aline Woitas Bianca Kölle Camilla Umstätter Dietmar Zechner Faiz M Khan Georg Fuellen Robert Jaster Department of MedicineⅡ Division of GastroenterologyRostock University Medical CenterRostockGermany Rudolf-Zenker-Institute of Experimental Surgery Rostock University Medical CenterRostockGermany Department of Systems Biology and Bioinformatics Institute of Computer ScienceUniversity of RostockRostockGermany Institute for Biostatistics and Informatics in Medicine and Ageing Research Rostock University Medical CenterRostockGermany

Background:The combination of senescence triggers with senolytic drugs is considered a promising new approach to cancer ***,we studied the efficacy of the genotoxic agent etoposide(Eto)and irradiation in inducing senescence of Panc02 pancreatic cancer cells,and the capability of the Bcl-2 inhibitor navitoclax(ABT-263;Nav)to trigger ***:Panc02 cells were treated with Eto or irradiated with 5–20 Gy before exposure to *** survival,proliferation,and senescence were assessed by trypan blue staining,quantification of DNA synthesis,and staining of senescence-associatedβ-galactosidase(SA-β-Gal)-positive cells,*** of mRNA were determined by real-time polymerase chain reaction,and protein expression was analyzed by ***02 cells were also grown as pancreatic tumors in mice,which were subsequently treated with Eto and ***:Eto and irradiation had an antiproliferative effect on Panc02 cells that was significantly or tendentially enhanced by *** vivo,Eto and Nav together,but not Eto alone,significantly reduced the proportion of proliferating *** expression of the senescence markerγH2AX and tumor infiltration with T-cells were not affected by the *** vitro,almost all Eto-exposed cells and a significant proportion of cells irradiated with 20 Gy were SA-β-*** of Nav reduced the percentage of SA-β-Gal-positive cells after irradiation but not after pretreatment with *** response to triggers of senescence,cultured Panc02 cells showed increased protein levels ofγH2AX and the autophagy marker LC3B-II,and higher mRNA levels of Cdkn1a,Mdm2,and PAI-1,while the effects of Nav were ***:In vitro and in vivo,the combination of senescence triggers with Nav inhibited tumor cell growth more effectively than the triggers *** data also provide some evidence for senolytic effects of Nav in vitro.

关键词： Pancreatic cancer Panc02 cells Etoposide Irradiation Navitoclax

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Leveraging Deep Learning for Approaching Automated Pre-Clinical Rodent Models 16th

Leveraging Deep Learning for Approaching Automated Pre-Clini...

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16th International Joint Conference on Computational Intelligence, IJCCI 2024

作者： Sandelius, Carl Pappas, Athanasios Sarkheyli-H Ä Gele, Arezoo Heuer, Andreas Johnsson, Magnus Internet of Things and People Research Center Department of Computer Science and Media Technology Malmö University Malmö Sweden Behavioural Neuroscience Laboratory Department of Experimental Medical Sciences Lund University Lund Sweden Kristianstad University Sweden

ISBN: (纸本)9789897587214

We evaluate deep learning architectures for rat pose estimation using a six-camera system, focusing on ResNet and EfficientNet across various depths and augmentation techniques. Among the configurations tested, ResNet 152 with default augmentation provided the best performance when employing a multi-perspective network approach in the controlled experimental setup. It reached a Root Mean Squared Error (RMSE) of 8.74, 8.78, and 9.72 pixels for the different angles. The utilization of data augmentation revealed that less altering yields better performance. We propose potential areas for future research, including further refinement of model configurations, more in-depth investigation of inference speeds, and the possibility of transferring network weights to study other species, such as mice. The findings underscore the potential for deep learning solutions to advance preclinical research in behavioral neuroscience. We suggest building on this research to introduce behavioral recognition based on a 3D movement reconstruction, particularly emphasizing the motoric aspects of neurodegenerative diseases. This will allow for the correlation of observable behaviors with neuronal activity, contributing to a better understanding of the brain and aiding in developing new therapeutic strategies. © 2024 by SCITEPRESS – science and Technology Publications, Lda.

关键词： Adversarial machine learning

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Laboratory Rat Tracking Methods in Biomedical Experiments 16

Laboratory Rat Tracking Methods in Biomedical Experiments

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16th International Conference on Electronics, computers and Artificial Intelligence, ECAI 2024

作者： Rotaru, Florin Costin, Hariton Bejinariu, Silviu-Ioan Luca, Mihaela Luca, Ramona Nita, Cristina Diana Tamba, Bogdan-Ionel Szilagyi, Andrei Stanciu, Gabriela-Dumitrita Institute of Computer Science Romanian Academy Iai Branch Iai Romania 'Prof. Ostin C. Mungiu' - Cemex 'Grigore T. Popa' University of Medicine and Pharmacy Advanced Research and Development Center for Experimental Medicine Iai Romania

ISBN: (纸本)9798350371154

Presented are two video analysis methods for tracking laboratory rats in three biomedical scenarios. In the first scenario, rat moves freely in a rectangular box, necessitating computation of the number of visits and visit duration in specific box areas. To assess the recognition of novel objects in the second scenario two toys are placed on the diagonal of the box, requiring tracking of visits and visit durations for each toy. The third scenario involves a Y-maze environment, with calculation of visits and visit durations for each branch. Initially, a tracking method using a voting procedure was proposed for the first scenario. The method combines results from binarized body detection and identification of the main cluster in the difference image of two consecutive frames. Subsequently, a deep learning-based body localization technique was applied across all three scenarios. © 2024 IEEE.

关键词： Rats

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Elucidation of the neutralizing antibody evasion of emergent SARS-CoV-2 Omicron sub-lineages using structural analysis

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science China(Life sciences) 2023年第12期66卷 2935-2938页

作者： Cong Sun Yuan-Tao Liu Yin-Feng Kang Chu Xie Shu-Xin Li Yu-Tong Lu Mu-Sheng Zeng State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapyDepartment of Experimental ResearchSun Yat-sen University Cancer CenterSun Yat-sen UniversityGuangzhou510060China National Supercomputer Center in Guangzhou School of Computer Science and EngineeringSun Yat-sen UniversityGuangzhou 510006China

Dear Editor,The continued evolution of the SARS-CoV-2 Omicron variant has contributed to the emergence of various novel sublineages that can evade the neutralizing activities of antibodies and vaccine sera,including B... 详细信息

关键词： neutral has continued

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Porous hybrid scaffold strategy for the realization of lightweight,highly efficient microwave absorbing materials

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Journal of Materials science & Technology 2022年第34期129卷 215-222页

作者： Meng Zhu Yuting Lei Heng Wu Luo Kong Hailong Xu Xuanxuan Yan Yongjian Xu Lei Dai Shaanxi Provincial Key Laboratory of Papermaking Technology and Specialty Paper Development Key Laboratory of Paper Based Functional MaterialsChina National Light IndustryNational Demonstration Center for Experimental Light Chemistry Engineering EducationShaanxi University of Science and TechnologyXi’an 710021China School of Engineering Computer and Mathematics SciencesAuckland University of Technology55 Wellesley Street EastAucklandNew Zealand School of Materials Science and Engineering Shaanxi University of Science and TechnologyXi’an 710021China Laboratory for Advanced Interfacial Materials and Devices Research Center for Smart Wearable TechnologyInstitute of Textiles and Clothingthe Hong Kong Polytechnic UniversityHong Kong SAR 999077China

Exploring an advanced and efficient electromagnetic(EM) wave absorbing material by improving dielectric loss capacity and adjusting impendence matching is crucial yet challenging. Herein, the bacterial cellulose(BC) derived carbon aerogel(CA) with a robust nanofibrous network was used as a conductive loss scaffold to dissipate EM waves effectively, and the Zn O microparticles with excellent dielectric properties and low electrical conductivity were decorated on the scaffold to adjust dielectric parameters and impedance matching adequately. By using different zinc precursors, the tunable size and morphologies of Zn O crystals were obtained due to the growth rate of different crystallographic, including flowerlike, nanorod like, and cauliflower-like morphologies, which is beneficial to strong multiple reflections,intensive interfacial polarization, better impendence matching, as well as excellent maintenance of the hierarchical structure. Owing to the appropriate impendence matching and the considerable EM wave dissipation, the CA@ZnO composites achieve a superior EM absorbing performance with a broad effective absorbing bandwidth(whole X band) and a minimum reflection coefficient(-53.3 d B). This work paves a new way for developing lightweight and highly efficient EM absorbing materials comprising the carbon scaffold and semiconductor microparticles.

关键词： Carbon scaffold ZnO microparticles Morphologies Impedance matching Microwave absorption

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research of Virtual Simulation Experiment Course Resource Intelligent Information System Construction 2

Research of Virtual Simulation Experiment Course Resource In...

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2nd IEEE International Conference on Power, Electronics and computer Applications, ICPECA 2022

作者： Wang, Yangping Dang, Jianwu Yong, Jiu Wang, Wenrun Yue, Biao Jin, Fangrui Computer Science and Technology Experimental Teaching Demonstration Center of National Lanzhou Jiaotong University National Virtual Simulation Experiment Teaching Center of Railway Traffic Information and Control Lanzhou Jiaotong University Gansu Prov. Eng. Research Center for Artificial Intelligence and Graphics and Image Processing Lanzhou730070 China National Virtual Simulation Experiment Teaching Center of Railway Traffic Information and Control Lanzhou Jiaotong University College of Intelligence and Computing Tianjin University Computer Science and Technology Experimental Teaching Demonstration Center of National Lanzhou Jiaotong University Gansu Prov. Eng. Research Center for Artificial Intelligence and Graphics and Image Processing Lanzhou730070 China College of Electronic and Information Engineering Lanzhou Jiaotong University Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics and Image Processing Lanzhou730070 China

ISBN: (纸本)9781665442763

In order to enable the construction of virtual simulation experiment resources in colleges and universities to keep up with the development of professional technology, this paper proposes to build a 'diversified virtual simulation experiment teaching resource construction system' through exploration and research. With the help of virtual reality, AR, panoramic roaming, video and other technologies, it provides a unified development framework, development documents and case templates for professional teachers to independently develop virtual simulation experiment teaching resources in line with undergraduate teaching, and helps teachers quickly build virtual simulation experiment resources in accordance with unified standards. It effectively solves the problems that it is difficult for college teachers to independently develop virtual simulation courseware and the technology is not unified. © 2022 IEEE.

关键词： Virtual reality

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Integrative multi-platform meta-analysis of hepatocellular carcinoma gene expression profiles for identifying prognostic and diagnostic biomarkers

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Genes & Diseases 2023年第4期10卷 1194-1196页

作者： Maryam Gholizadeh Morteza Hadizadeh Seyed Reza Mazlooman Saeid Eslami Sadegh Raoufi Marziye Farsimadan Maryam Rashidifar Marek Drozdzik Mehrnaz Mehrabani Department of Medical Informatics Faculty of MedicineMashhad University of Medical SciencesMashhad 91388-13944Iran Physiology Research Center Institute of NeuropharmacologyKerman University of Medical SciencesKerman ***Iran Department of Computer Engineering Central Tehran BranchIslamic Azad UniversityTehran ***Iran Modeling in Health Research Center Institute for Futures Studies in HealthKerman University of Medical SciencesKerman ***Iran Department of Biology Faculty of SciencesUniversity of GuilanRasht 13111-41937Iran Department of Plant Biotechnology Faculty of Life Science and BiotechnologyShahid Beheshti UniversityTehran 198396-3113Iran Department of Experimental and Clinical Pharmacology Pomeranian Medical UniversitySzczecin 70-111Poland

Hepatocellular carcinoma(HCC),as one of the most com-mon types of primary liver cancer(PLV),accounts for approximately 75%e90%of all PLV cases identified worldwide.^(1)Currently,the most effective treatment for HCC patients constitutes liver ***,due to high rates of recurrence a poor prognosis is predicted.^(2)Therefore,accurate HCC biomarkers are ur-gently needed to develop innovative *** of earlier investigations to identify biomarkers have been severely limited by sample size.

关键词： liver prognosis hepatocellular

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Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning

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eLight 2023年第1期3卷 94-104页

作者： Shilian Dong Dong He Qian Zhang Chaoning Huang Zhiheng Hu Chenyang Zhang Lei Nie Kun Wang Wei Luo Jing Yu Bin Tian Wei Wu Xu Chen Fubing Wang Jing Hu Xiangheng Xiao Department of Physics National Demonstration Center for Experimental Physics EducationWuhan UniversityWuhan 430072China Department of Laboratory Medicine Zhongnan Hospital of Wuhan UniversityWuhan 430071China School of Computer Science Wuhan UniversityWuhan 430072China Department of Hepatobiliary Pancreatic Surgery Hubei Cancer HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430079China Department of Clinical Laboratory Tianjin Medical University General HospitalTianjin 300052China Department of Blood Transfusion Wuhan Hospital of Traditional Chinese and Western MedicineTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Laboratory of Printable Functional Materials and Printed Electronics Research Center for Graphic CommunicationPrinting and PackagingWuhan UniversityWuhan 430072China Sichuan Provincial Key Laboratory for Human Disease Gene Study and the Center for Medical Genetics Department of Laboratory MedicineSichuan Academy of Medical Sciences&Sichuan Provincial People’s HospitalUniversity of Electronic Science and TechnologyChengdu 611731China School of Medicine University of Electronic Science and Technology of ChinaChengdu 611731China Wuhan Research Center for Infectious Diseases and Cancer Chinese Academy of Medical SciencesWuhan 430071China

Label-free surface-enhanced Raman scattering(SERS)technique with ultra-sensitivity becomes more and more desirable in biomedical analysis,which is yet hindered by inefficient follow-up data *** we report an integrative method based on SERS and Artificial Intelligence for Cancer Screening(SERS-AICS)for liquid biopsy such as serum via silver nanowires,combining molecular vibrational signals processing with large-scale data mining *** to 382 healthy controls and 1582 patients from two independent cohorts,SERS-AICS not only distinguishes pan-cancer patients from health controls with 95.81% overall accuracy and 95.87% sensitivity at 95.40% specificity,but also screens out those samples at early cancer *** supereminent efficiency potentiates SERS-AICS a promising tool for detecting cancer with broader types at earlier stage,accompanying with the establishment of a data platform for further deep analysis.

关键词： analysis specificity silver

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Laboratory Rat Tracking Methods in Biomedical Experiments

Laboratory Rat Tracking Methods in Biomedical Experiments

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International Conference on Electronics, computers and Artificial Intelligence (ECAI)

作者： Florin Rotaru Hariton Costin Silviu-Ioan Bejinariu Mihaela Luca Ramona Luca Cristina Diana Niță Bogdan-Ionel Tamba Andrei Szilagyi Gabriela-Dumitrita Stanciu Romanian Academy Iași Branch Institute of Computer Science Iași Romania Advanced Research and Development Center for Experimental Medicine “Prof. Ostin C. Mungiu” – CEMEX “Grigore T. Popa” University of Medicine and Pharmacy Iași Romania

ISBN: (数字)9798350371154

ISBN: (纸本)9798350371161

关键词： Video tracking Shape Toy manufacturing industry Rats Software Real-time systems Recording

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Low-complexity JPEG steganalysis via filters optimation from symmetric property

Low-complexity JPEG steganalysis via filters optimation from...

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作者： Luo, Weiwei Dang, Jianwu Wang, Wenrun Zhai, Fengwen School of Electronic and Information Engineering Lanzhou Jiaotong University Lanzhou730070 China Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphic and Image Processing and Experimental Teaching Center on Computer Science Lanzhou Jiaotong University Lanzhou730070 China

Steganalysis is a technique for detecting existence of secret data hidden in digital media. researchers are often concentrated in minimizing the misclassification rate. Many steganalysis methods try to choose high-dimension features to reveal subtle changes due to data embedding. By exploring properties of the filter bases, we steer the filters to capture tiny embedding traces in different scales and directions. There are redundant filters due to the horizontal and vertical symmetric properties. To select proper filters, the constructed framework selects a filter subset used in feature extraction and can improve the classification performance. The proposed algorithm is compared with several high-dimension features including Gabor filter residual (GFR) and maximum diversity cascade filter residual (MD-CFR) features. The following steganographic algorithms are used in the comparison experiment to test the steganalytic performance: uniform embedding revisited distortion (UERD) and JPEG universal wavelet relative distortion (J-UNIWARD). experimental results show that, compared with the MD-CFR method, the proposed method can increase the detection rate by up to 0.7% with low feature dimension. It is shown that the proposed method is suitable for detecting data embedding in JPEG images. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Gabor filters

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