Jinjin Guo

Huazhong University of Science and Technology

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Yunong Zhang

Sun Yat-sen University

Andrew P. McMahon

University of Southern California

Binbin Qiu

Sun Yat-sen University

Jill A. McMahon

University of Southern California

Riana K. Parvez

Broad Center

Nils O. Lindström

University of Southern California

Tongbo Zhu

West China Medical Center of Sichuan University

Albert D. Kim

University of Southern California

Brendan H. Grubbs

University of Southern California

Chang Yan Chen

Beth Israel Deaconess Medical Center

Cooperative Institutions

University of Southern California

Sun Yat-sen University

Harvard University

Broad Center

Ministry of Education of the People's Republic of China

Chinese Academy of Sciences

Huazhong University of Science and Technology

Southern California University for Professional Studies

Capital Medical University

University of Chinese Academy of Sciences

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Dynamic observation of inhibition of tachyzoite proliferation and protective action of anti-Toxoplasma profilin antibody in vitro.

Zhongguo Bingyuan Shengwuxue Zazhi / Journal of Pathogen Biology (2019)

Rui Yang Xiong YiDing Guo ShanShan Ye Liao Qiang Xia

Profilin

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Redundant-Manipulator Minimal Motion via Different-Precision Discrete-Time Zhang Neural Dynamics Algorithms Especially Ten-Instant One

2021 China Automation Congress (CAC) (2021)

Zanyu Tang Jinjin Guo Jianrong Chen Yunong Zhang

As a significant and basic robotic sub-topic, the problem of optimal MPC (motion planning & control) of ordinarily redundant manipulator widely exists in many fields, such as industry and daily-life applications. Following previous work, the aim of this paper is at solving the problem of velocity-level minimal joint motion planning & control (VLMJMPC) in a way of discrete time. Firstly, the VLMJMPC problem is introduced and analyzed using Zhang neural dynamics (ZND) method, and the motion scheme is then given. Secondly, by using ZND and Lagrange-multiplier methods, a continuous-time (CT) model for real-time solving the problem is established. In order to realize on digital computers, we use a ten-instant Zhang time discretization (abbreviated as ZTD) general formula with the fifth-order precision to discretize the model, and a special algorithm with high precision is derived, developed and analyzed. Finally, five discrete-time ZND (DTZND) algorithms are further acquired by adopting this ten-instant ZTD formula and other ZTD formulas, and the corresponding theoretical analyses are given. Computer experiment results numerically verify the online effectiveness and correctness of the developed five DTZND algorithms.

10.1109/cac53003.2021.9728322

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Horseradish peroxidase functionalized gold nanorods as a label for sensitive electrochemical detection of alpha-fetoprotein antigen

Analytical Biochemistry (2015)

Jinjin Guo Xiaowei Han Junchun Wang Junqing Zhao Zilin Guo

Horseradish peroxidase

Differential pulse voltammetry

Nanorod

Linear range

10.1016/j.ab.2015.09.006

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Supplementary Figure Legend from Nicotine Promotes Mammary Tumor Migration via a Signaling Cascade Involving Protein Kinase C and cdc42

Jinjin Guo Soichiro Ibaragi Tongbo Zhu Ling-Yu Luo Guo‐fu Hu

Supplementary Figure Legend from Nicotine Promotes Mammary Tumor Migration via a Signaling Cascade Involving Protein Kinase C and cdc42

CDC42

10.1158/0008-5472.22374381

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Epitope localization of human cytomegalovirus monoclonal antibody CH13

Qiang Ruan Alessandro Ripalti Landini Mp Jinjin Guo Qing Liu

Peptide clones that have reactivity to CH13 were selected from a random peptide display library by directly using monoclonal antibody CH13. The DNA sequences of these random peptides were detected. The homology amino acid sequences of the random peptides were compared with those of PPUL44 protein. The amino acid sequences of peptides that reacted to PPUL44 MAb CH13 showed highly homology. The homologous amino acid sequence NEGEAFGPDVSG was similar to that located at the position from 321 to 332 amino acid of HCMV PPUL44. Sequence FQILVCVESVLR had 4 adjacent amino acids consensus with those of HCMV PPUL44 from amino acid 181 to 184.

Homology

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The Current Status of Breastfeeding Knowledge and Its Influencing Factors in Nursing Undergraduates: A Cross-Sectional Study in China

International Journal of Environmental Research and Public Health (2022)

Keqin Liu Jinjin Guo Weixi Deng Yanwei Su

The aim of this study was to explore the breastfeeding knowledge of nursing undergraduates and the influencing factors. Human milk (HM) is one of the most effective nutritional supplies to improve early development and physical health, but the current status of breastfeeding in China is still not optimal. The breastfeeding knowledge of perinatal women influences their feeding beliefs and behavior. Nursing undergraduates, as core professionals who will care for perinatal women and provide feeding guidance in the future, can significantly affect feeding behavior of mothers and their babies, so their knowledge of breastfeeding may have a potential impact on breastfeeding in China. However, studies on breastfeeding knowledge among nursing undergraduates in China are limited. A convenience sampling method was conducted in four medical universities in China, and eligible nursing undergraduates were selected. An online survey was collected from 5 July 2022 to 5 August 2022. Categorical data were reported as number and percentage, while continuous data were reported as mean ± SD. Multivariate linear regression was used to evaluate the association between influencing factors and breastfeeding knowledge. The overall mean score of the 460 returned questionnaires was 43.991 out of 100. The pass rate of the questionnaire was only 23.04%. Nursing undergraduates had a relatively better grasp of the benefits of breastfeeding and related advice (correct rates: 67.83%). Birthplace, only child or not, the course in obstetrics and gynecological nursing, the course in pediatrics nursing, and placements in maternity or neonatology units were relevant factors for breastfeeding knowledge (p < 0.05). Nursing undergraduates showed unsatisfactory breastfeeding knowledge. It is urgent to raise the knowledge level of breastfeeding among nursing undergraduates. Medical colleges should optimally structure a curriculum of breastfeeding knowledge. Furthermore, it is also necessary to improve the public’s understanding of breastfeeding and the whole society’s attention to breastfeeding in China.

Cross-sectional study

10.3390/ijerph20010103

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Supplementary Data 4.xlsx from A genetic model for in vivo proximity labelling of the mammalian secretome

Figshare (2022)

Rui Yang Amanda S. Meyer Ilia A. Droujinine Namrata D. Udeshi Yanhui Hu

Organ functions are highly specialized and interdependent. Secreted factors regulate organ development and mediate homeostasis through serum trafficking and inter-organ communication. Enzyme-catalysed proximity labelling enables the identification of proteins within a specific cellular compartment. Here, we report a BirA*G3 mouse strain that enables CRE-dependent promiscuous biotinylation of proteins trafficking through the endoplasmic reticulum. When broadly activated throughout the mouse, widespread labelling of proteins was observed within the secretory pathway. Streptavidin affinity purification and peptide mapping by quantitative mass spectrometry (MS) proteomics revealed organ-specific secretory profiles and serum trafficking. As expected, secretory proteomes were highly enriched for signal peptide-containing proteins, highlighting both conventional and non-conventional secretory processes, and ectodomain shedding. Lower-abundance proteins with hormone-like properties were recovered and validated using orthogonal approaches. Hepatocyte-specific activation of BirA*G3 highlighted liver-specific biotinylated secretome profiles. The BirA*G3 mouse model demonstrates enhanced labelling efficiency and tissue specificity over viral transduction approaches and will facilitate a deeper understanding of secretory protein interplay in development, and healthy and diseased adult states.

10.6084/m9.figshare.20407609

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New Discretized Zeroing Neural Network Models for Solving Future System of Bounded Inequalities and Nonlinear Equations Aided With General Explicit Linear Four-Step Rule

IEEE Transactions on Industrial Informatics (2020)

Binbin Qiu Jinjin Guo Xiao‐Dong Li Yunong Zhang

In this article, we derive the general explicit linear four-step (ELFS) rule with fifth-order precision systematically, together with a group of specific ELFS rules provided. Afterwards, we formulate and investigate a new and challenging discrete-time dynamic problem with relatively complex structure and future unknownness, which is simply termed future system of bounded inequalities and nonlinear equations (SBINE). With the aid of the general ELFS rule, the general ELFS-type discretized zeroing neural network (DZNN) model is proposed to solve the future SBINE. Moreover, theoretical and numerical results are presented to show the validity and high precision of the proposed general ELFS-type DZNN model. Finally, comparative numerical experiments based on a wheeled mobile robot containing several additional constraints are further performed to substantiate the applicability, validity, and superiority of the proposed general ELFS-type DZNN model.

10.1109/tii.2020.3032158

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Future Equality-Constrained Quadratic Programming

CRC Press eBooks (2024)

Yunong Zhang Jinjin Guo

10.1201/9781003497783-2

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【目的】リポ多糖類(LPS)によって誘発された腹腔マクロファージの酸化損傷に及ぼすクロシンの効果を研究する。【JST・京大機械翻訳】

Guangdong Yixue (2016)

Tian Zhong Qiang Xia Wang Xinying Chen Yang Jinjin Guo

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