Research Interest: Regenerative Medicine for Joint tissues degenerative diseases, Stem cells, Development and validation of serological biomarkers for Osteoarthritis, Osteoarthritis, Alzheimer’s diseases; 

I am a researcher at the Department of Medicine and Surgery at the University of Perugia. I obtained my PhD in Information Sciences and Technologies from the University of Perugia in 2001, with a dissertation focused on the application of statistics to experimental data on information devices and systems. My research evolved into estimation and detection theory, eventually shifting towards biological and medical sciences. In 2013, I joined the Genomic Center at the University of Perugia. Through participation in international research projects and collaborations, I have gained significant expertise in statistical methods and software tools designed for biomedical research. These solutions were implemented on both local and distributed computing platforms.

Over the past five years, I have intensively applied data science and machine learning techniques to massive biological datasets, extracting meaningful information through the integration of statistical and probabilistic visualizations. Recently, I have successfully applied these skills to genomic datasets, particularly in targeted sequencing (16S, ITS) and RNA-seq. My research focuses on developing effective techniques for genomic information extraction, emphasizing visualization methods tailored to specific applications. Additionally, I have applied both classical and advanced statistical techniques to enhance the precision of biomedical data parameter estimates, even for small-volume datasets such as those from seronegative elderly or neonatal infants.

I am currently a highly motivated and skilled bioinformatician with a robust background in genomics, specializing in the analysis of amplicon sequencing data and contributing to cutting-edge scientific advancements.

Research Interest: In the last ten years her research interests were on the metrological characterization of systems biology devices, remote control of instrumentation for biological data processing, and biostatistics analyses applied to biomedical data, with particular concern to In the last ten years, my research has focused on the metrological characterization of systems biology devices, remote control of instrumentation for biological data processing, and biostatistical analyses applied to biomedical data. This includes the immunogenicity evaluation of influenza vaccines and the diversity and differential analysis of microbiome sequencing data. Specifically, I have developed translational research methodologies in the biomedical field, processing data collected by biomedical devices and instruments. My skills include:

• Developing reliable decision-making tools using statistical techniques applied to experimental data.
• Implementing data science and machine learning techniques on big data to extract knowledge and visualize statistical and probabilistic results.
• Designing algorithms and prototypes for highly reliable fault detection from measurement data acquired through medical instrumentation.
• Creating algorithms for automatic imaging recognition systems, translating research findings into practical biomedical solutions.

My name is Guichuan Lai, a medical doctor, currently working in the department of health statistics at Chongqing Medical University. I have published 16 SCI papers in the past 2 years, and served as a longtime reviewer for Frontiers, BMC, Springer, and the Elsevier. My research area is exploring biomarkers of diseases using bioinformatics and network science methods, including single-cell sequencing technology, network medicine technology, and machine learning methods. Finally, I hope to be able to create value for the journal through my own experience. Here are the SCI articles I have published in the last two years:

Research Interests:

My research interest is exploring biomarkers of diseases using bioinformatics and network science methods, including single-cell sequencing technology, network medicine technology, and machine learning methods.

List of Publications:

1. Lai G, Li K, Deng J, Liu H, Xie B, Zhong X. Identification and Validation of a Gene Signature for Lower-Grade Gliomas Based on Pyroptosis-Related Genes to Predict Survival and Response to Immune Checkpoint Inhibitors. J Healthc Eng. 2022 Apr 30;2022:8704127. doi: 10.1155/2022/8704127. PMID: 35535221; PMCID: PMC9078805.
2. Lai G, Liu H, Deng J, Li K, Xie B. A Novel 3-Gene Signature for Identifying COVID-19 Patients Based on Bioinformatics and Machine Learning. Genes (Basel). 2022 Sep 8;13(9):1602. doi: 10.3390/genes13091602. PMID: 36140771; PMCID: PMC9498787.
3. Lai G, Zhong X, Liu H, Deng J, Li K, Xie B. Development of a Hallmark Pathway-Related Gene Signature Associated with Immune Response for Lower Grade Gliomas. Int J Mol Sci. 2022 Oct 9;23(19):11971. doi: 10.3390/ijms231911971. PMID: 36233273; PMCID: PMC9570050.
4. Lai G, Zhong X, Liu H, Deng J, Li K, Xie B. A Novel m7G-Related Genes-Based Signature with Prognostic Value and Predictive Ability to Select Patients Responsive to Personalized Treatment Strategies in Bladder Cancer. Cancers (Basel). 2022 Oct 29;14(21):5346. doi: 10.3390/cancers14215346. PMID: 36358764; PMCID: PMC9656096.
5. Lai G, Liu H, Deng J, Li K, Zhang C, Zhong X, Xie B. The Characteristics of Tumor Microenvironment Predict Survival and Response to Immunotherapy in Adrenocortical Carcinomas. Cells. 2023 Feb 27;12(5):755. doi: 10.3390/cells12050755. PMID: 36899891; PMCID: PMC10000893.
6. Chi H, Xie X, Yan Y, Peng G, Strohmer DF, Lai G, Zhao S, Xia Z, Tian G. Natural killer cell-related prognosis signature characterizes immune landscape and predicts prognosis of HNSCC. Front Immunol. 2022 Oct 3;13:1018685. doi: 10.3389/fimmu.2022.1018685. PMID: 36263048; PMCID: PMC9575041.
7. Zhao S, Zhang L, Ji W, Shi Y, Lai G, Chi H, Huang W, Cheng C. Machine learning-based characterization of cuprotosis-related biomarkers and immune infiltration in Parkinson's disease. Front Genet. 2022 Oct 17;13:1010361. doi: 10.3389/fgene.2022.1010361. PMID: 36338988; PMCID: PMC9629507.
8. Zhao S, Chi H, Ji W, He Q, Lai G, Peng G, Zhao X, Cheng C. A Bioinformatics-Based Analysis of an Anoikis-Related Gene Signature Predicts the Prognosis of Patients with Low-Grade Gliomas. Brain Sci. 2022 Oct 5;12(10):1349. doi: 10.3390/brainsci12101349. PMID: 36291283; PMCID: PMC9599312.
9. Zhao S, Ji W, Shen Y, Fan Y, Huang H, Huang J, Lai G, Yuan K, Cheng C. Expression of hub genes of endothelial cells in glioblastoma-A prognostic model for GBM patients integrating single-cell RNA sequencing and bulk RNA sequencing. BMC Cancer. 2022 Dec 6;22(1):1274. doi: 10.1186/s12885-022-10305-z. PMID: 36474171; PMCID: PMC9724299.
10. Xie B, Li K, Zhang H, Lai G, Li D, Zhong X. Identification and validation of an immune-related gene pairs signature for three urologic cancers. Aging (Albany NY). 2022 Feb 10;14(3):1429-1447. doi: 10.18632/aging.203886. Epub 2022 Feb 10. PMID: 35143414; PMCID: PMC8876921.
11. Liu H, Lai G, Shi G, Zhong X. The Influencing Factors of HIV-Preventive Behavior Based on Health Belief Model among HIV-Negative MSMs in Western China: A Structural Equation Modeling Analysis. Int J Environ Res Public Health. 2022 Aug 17;19(16):10185. doi: 10.3390/ijerph191610185. PMID: 36011822; PMCID: PMC9407807.
12. Chi H, Peng G, Yang J, Zhang J, Song G, Xie X, Strohmer DF, Lai G, Zhao S, Wang R, Yang F, Tian G. Machine learning to construct sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with uveal melanoma. Front Endocrinol (Lausanne). 2022 Dec 8;13:1056310. doi: 10.3389/fendo.2022.1056310. PMID: 36568076; PMCID: PMC9772281.
13. Zhang Z, Lai G, Sun L. Basement-Membrane-Related Gene Signature Predicts Prognosis in WHO Grade II/III Gliomas. Genes (Basel). 2022 Oct 7;13(10):1810. doi: 10.3390/genes13101810. PMID: 36292695; PMCID: PMC9602375.
14. Zhao S, Chi H, Yang Q, Chen S, Wu C, Lai G, Xu K, Su K, Luo H, Peng G, Xia Z, Cheng C, Lu P. Identification and validation of neurotrophic factor-related gene signatures in glioblastoma and Parkinson's disease. Front Immunol. 2023 Feb 7;14:1090040. doi: 10.3389/fimmu.2023.1090040. PMID: 36825022; PMCID: PMC9941742.
15. Zhang Y, Zhang C, Li K, Deng J, Liu H, Lai G, Xie B, Zhong X. Identification of Molecular Subtypes and Prognostic Characteristics of Adrenocortical Carcinoma Based on Unsupervised Clustering. Int J Mol Sci. 2023 Oct 23;24(20):15465. doi: 10.3390/ijms242015465. PMID: 37895143; PMCID: PMC10607826.
16. Gut microbiome dysbiosis in men who have sex with men increase HIV infection risk through immunity homeostasis alteration (Waiting for publication)

Research Interest: Molecular Biology of non-coding Repetitive DNA: role of satellite DNAs and their transcripts in genome dynamic.

Research Interest: Environmental Biotechnology including: Assessment of Genetic Diversities; Phytosanitary, Uses of Rhizobacteria in Phytoremediation

Research Interest: Biochemistry and Biotechnology (Wastewater Treatment, Biomass Growth, Kinetic Growth Study, Microalgae, Enzymatic Technology, Advanced Oxidation Processes, Adsorption, Ion Exchange, Membrane Technology).

Doctorate in Biotechnology from the Federal University of Bahia (UFBA) of the Northeast BiotechnologyNetwork (RENORBIO), Master in Biotechnology from UFBA, specialization in innovation and quality from thePortuguese Industrial Association, Degree in Biotechnological Engineering from the Lusófona University ofHumanities and Technologies, Bachelor's Degree in Biotechnology by the Higher Institute of Humanities andTechnology. Post-doctorate at the Federal University of Bahia in Biotechnology in the study of photo-stimulation strategies for the production of bioactives included in the project: Sustainable BiotechnologicalAlternatives to Increase the Oil Recovery Factor from Carbonatic Reservoirs, financed by Petrogal. Professionalexperience in the areas of sanitary engineering, industrial biotechnology, environmental biotechnology andmicrobiology. Acting mainly in the following sectors: sanitary, environmental and in the development ofsustainable bioprocesses, to obtain bioactives for industry, involving photo-biomodulation techniques.Production and characterization of photo-stimulated microbial biopolymers reusing industrial co-products.Expertise in research and teaching in the areas of biotechnology, biophotonics, microbiology, chemistry andpharmaceuticals. I currently develop professional activity as a researcher at the Mountain Research Center(CIMO) of the Polytechnic Institute of Bragança, under the ¿OleaChain¿ project, application code NORTE-06-3559-FSE-000188.

Research Interests:

- Biophotomodulation

- Antimicrobial photodynamic therapy

- Photostimulation of bioprocesses

I have completed my PhD from National Institute of Immunology, New Delhi, India in 2016 in microbiology and molecular biology feild. Soon after that I have joined Weill Cornell Medical College, New York in June 2016 and working in the field of metabolomics to understand the immunological insults and adaptations happening during TB infection. I have identified various metabolic signatures and important mechanism to enhance the therapeutic potential of anti-TB drugs and therapies. I am expert in microbiology, genetic engineering, metabolomics, molecular biology, drug target identification, drug screening, drug development, in vivo drug testing and identification of metabolic bio-signature (Biomarkers).

Research Interest: Microbiology, Immunology, Metabolomics, Metabolism, Drug Development, Assay Development, and Molecular biology

URL: https://www.linkedin.com/in/vijay-soni-ph-d-3271a581

List of Publications:

First author papers: Total 3
1. Soni V, Upadhayay S, Suryadevara P, Samla G, Singh A, Yogeeswari P, Sriram D, Nandicoori VK. Depletion of M. tuberculosis GlmU from Infected Murine Lungs Effects the Clearance of the Pathogen. PLoS Pathog. 2015 Oct 21;11(10):e1005235.

2. Soni V, Suryadevara P, Sriram D; OSDD Consortium, Kumar S, Nandicoori VK, Yogeeswari P. Structure-based design of diverse inhibitors of Mycobacterium tuberculosis N-acetylglucosamine-1-phosphate uridyltransferase: combined molecular docking, dynamic simulation, and biological activity. J Mol Model.2015 Jul;21(7):2704.

3. Jagtap PK, Soni V*, Vithani N, Jhingan GD, Bais VS, Nandicoori VK, Prakash B. Substrate-bound crystal structures reveal features unique to Mycobacterium tuberculosis N-acetyl-glucosamine 1-phosphate uridyltransferase and a catalytic mechanism for acetyl transfer. J Biol Chem. 2012 Nov 16;287(47):39524-37. * First Co-author.

Middle author papers: Total 9
4. Suryadevara P, Yogeeswari P, Soni V, Devi PB, Nandicoori VK, Sriram D. Computational Sampling and Simulation Based Assessment of Novel Mycobacterium tuberculosis Glutamine Synthetase Inhibitors: Study involving Structure Based Drug Design and Free Energy Perturbation. Curr Top Med Chem. 2015 Aug 25.

5. Parthiban Brindha Devi, Jonnalagadda Padma Sridevi, Shruti Singh Kakan, Shalini Saxena, Variam Ullas Jeankumar, Vijay Soni, Hasitha Shilpa Anantaraju, Perumal Yogeeswari, Dharmarajan Sriram. Discovery of novel lysine ɛ-aminotransferase inhibitors: An intriguing potential target for latent tuberculosis. Tuberculosis. 2015, PII:S1472-9792 (15)20720-2

6. Petersen GO, Saxena S, Renuka J, Soni V, Yogeeswari P, Santos DS, Bizarro CV, Sriram D. Structure-based virtual screening as a tool for the identification of novel inhibitors against Mycobacterium tuberculosis 3-dehydroquinate dehydratase. J Mol Graph Model.2015 May 11.

7. Pulla VK, Sriram DS, Soni V, Viswanadha S, Sriram D, Yogeeswari P. Targeting NAMPT for Therapeutic Intervention in Cancer and Inflammation: Structure-Based Drug Design and Biological Screening. ChemBiol Drug Des.2015 Apr 7.

8. Sridevi JP, Suryadevara P, Janupally R, Sridhar J, Soni V, Anantaraju HS, Yogeeswari P, Sriram D. Identification of potential Mycobacterium tuberculosis topoisomerase I inhibitors: a study against active, dormant and resistant tuberculosis. Eur J Pharm Sci. 2015 May 25;72:81-92.

9. Janupally R, Jeankumar VU, Bobesh KA, Soni V, Devi PB, Pulla VK, Suryadevara P, Chennubhotla KS, Kulkarni P, Yogeeswari P, Sriram D. Structure-guided design and development of novel benzimidazole class of compounds targeting DNA gyraseB enzyme of Staphylococcus aureus. Bioorg Med Chem. 2014 Nov 1;22(21):5970-87..

10. Jeankumar VU, Renuka J, Pulla VK, Soni V, Sridevi JP, Suryadevara P, Shravan M, Medishetti R, Kulkarni P, Yogeeswari P, Sriram D. Development of novel N-linked aminopiperidine-based mycobacterial DNA gyrase B inhibitors: scaffold hopping from known antibacterial leads. Int J Antimicrob Agents.2014 Mar;43(3):269-78.

11. Saxena S, Devi PB, Soni V, Yogeeswari P, Sriram D. Identification of novel inhibitors against Mycobacterium tuberculosis L-alanine dehydrogenase (MTB-AlaDH) through structure-based virtual screening. J Mol Graph Model.2014 Feb;47:37-43.

12. Jeankumar VU, Renuka J, Santosh P, Soni V, Sridevi JP, Suryadevara P, Yogeeswari P, Sriram D. Thiazole-aminopiperidine hybrid analogues: design and synthesis of novel Mycobacterium tuberculosis GyrB inhibitors. Eur J Med Chem. 2013;70:143-53.

Patent:
13.  Indian patent; Status: Filed; File no: 3167/DEL/2015 Title: Depletion of M. tuberculosis GlmU from Infected Murine Lungs Effects the Clearance of the Pathogen.
Authors: Vinay K Nandicoori, Vijay Soni, Perumal Yogeeswari and Dharamarajan Sriram.

Doris, is a Professor in the Exact Natural Sciences and Statistics, Faculty of Basic Sciences at University of Santiago of Cali, where he has been since last August. From 2012 to 2018 she was member of Systematic Molecular Group at National University of Colombia. From 2008 to 2012 she was member of Molecular Microbiology Group at Antioquia University. Both universities are located in Colombia. She has explored entomological parameters, molecular taxonomy and infection by Plasmodium of some Anopheles’ vectors. She has also investigated the presence and implications of mosquitoes in High altitude Ecosystem Mountains in Colombia.

Research Interest: Ambient microbiology, Integrative taxonomy and Evolution.

Rosero-García D, Rúa-Uribe G, Correa M, Conn JE, Uribe-Soto S. 2018. Mosquito (Diptera: Culicidae) grouping by OTUs (Operational Taxonomic Units) based on larval habitats characteristics in High Mountain Ecosystems of Antioquia, Colombia. Journal of Vector Ecology 43 (1): 71-79

Rosero-García D, Suaza-Vasco JD, Barajas-Galindo J, Uribe-Soto S. 2017. Mosquito fauna (Diptera: Culicidae) of high Andean mountain ecosystems in Colombia. International Journal of Mosquito Research 4(6): 10-24

Rosero-García D, Bickersmith S, Suaza-Vasco JD, Porter C, Correa M, Conn JE, Uribe-Soto S. 2017. Molecular Operational Taxonomic Units (MOTUs) of mosquitoes collected in high Andean mountain ecosystems from Antioquia, Colombia. Zootaxa 4277 (3): 369–385

Rosero-García D, Suaza-Vasco JD, Uribe-Soto S. 2016. Mosquitos (Diptera: Culicidae) del Páramo de Santa Inés en Belmira, Antioquia: actualización de registros y fortalecimiento de colecciones entomológicas de ecosistemas de alta montaña del MEFLG. Boletín del Museo Entomológico Francisco Luís Gallego 8(2): 6-20

Rosero DA, Naranjo N, Álvarez N, Cienfuegos A, Torres C, Luckhart S, Correa M. 2013. Colombian Anopheles triannulatus (Diptera: Culicidae) naturally infected with Plasmodium spp. ISRN Parasitology, Volumen 2013, Article ID 927453

Naranjo N, Rosero D, Rua G, Luckhart S, Correa M. 2013. Abundance, behavior and entomological inoculation rates of antropophilic anopheline from the Urabá, Bajo Cauca and Alto Sinú region of Colombia. Parasites & Vectors 6:61

Cadavid I, Rosero D, Uribe S. 2013. Comparación de dos métodos de extracción de ADN a partir de plantas del género Solanum, subgénero Leptostemonum. Revista Colombiana de Biotecnología. 15(2): 186-192

Rosero DA, Jaramillo LM, Gutiérrez LA, Conn JE, Correa MM. 2012. Genetic diversity of Anopheles triannulatus s.l. (Diptera: Culicidae) from northwestern and southeastern Colombia. The American Journal Tropical Medicine and Hygiene 87(5):910-920

Cienfuegos AV, Rosero D, Naranjo N, Luckhart S, Conn JE, Correa MM. 2011. Evaluation of a PCR–RFLP–ITS2 assay for discrimination of Anopheles species in northern and western Colombia. Acta Trópica 118: 128–135

Álvarez N, Rosero D, Gómez G, Correa M. 2011. Detección de mosquitos Anopheles infectados naturalmente con Plasmodium spp. en Puerto Libertador, Córdoba, Colombia. Hechos Microbiológicos 2(2); 29-39

Sánchez J, Galeano Y, Rosero D, Naranjo N, Correa M. 2011. Confirmación molecular de especie en especímenes Anopheles recolectados en el corregimiento de Juan José, Puerto Libertador, Córdoba, Colombia. Hechos Microbiológicos 2(1):19-28

Rosero D, Gutiérrez L, Cienfuegos V, Jaramillo L, Correa M. 2010. Optimización de un procedimiento de extracción de ADN para mosquitos anofelinos. Revista Colombiana de Entomología 36(2): 260-26

Gutiérrez LA, González JJ, Castro MI, Gómez GF, Rosero DA, Luckhart S, Conn JE, Correa MM. 2009. Species composition and natural infectivity of anthropophilic Anopheles (Diptera: Culicidae) in the states of Córdoba and Antioquia, northwestern Colombia. Memorias do Instituto Oswaldo Cruz, 104(8): 1117-1124

Rosero D, del Corral H. 2009. Guía sobre cómo hacer una monografía tomando elementos metodológicos utilizados en la revisión sistemática de un tema. Reimpresos Universidad de Antioquia. ISBN: 978-958-714-287-7

Rosero D, del Corral H. Contribución del Análisis RFLP del IS6110 del Mycobacterium tuberculosis al diseño y refinamiento de estrategias para el control de la tuberculosis en Colombia. Infectio 2008, 12(3):175-191

Skype ID: roserodorismb

Research Interest: Signal Transduction, Steroid Hormones,Anti-Cancer Activities,Resveratrol and Derivatives

Research Interest: Tumor Biology - Progression Factors

Degree: Ph.D. in Biology / zoology

Birth: / Iraq / 6 - 10 – 1984

Research Interest: Biology , Zoology , microbiology, parasitology , parasitic diseases, infectious diseases, Biotechnology.

URL: https://www.researchgate.net/profile/Hiba_Riyadh_Jameel
https://scholar.google.com/citations?user=dArfA_cAAAAJ&hl=ar
https://publons.com/researcher/1570960/hiba-al-abodi/

List of Publications: 33

Research Interest:  Molecular biology and bio-medicine research, Tumor biology

Grant:

2019    Grant:Exploration of the interaction between Skp2 and Ku70 proteins and its function in cervical tumor proliferation, grant NO.81802622.

Awarded by Chinese National Natural Science Foundation for Young Scientists (2019/01-2021/12)

2018      Grant: Exploration of the interaction between Skp2 and Ku70 proteins and its function in cervical tumor pathology, grant NO. LY18H160067.
Awarded by Zhejiang Provincial Natural Science Foundation of China (2018/01-2020/12)

2016      Grant: Exploration of the interaction between Skp2 and Ku70 proteins and its function in tumor pathology, grant NO. 2015KYB09.
Awarded by grants for Medical and health science and technology plan of Zhejiang province (2016/01-2018/12)

2012      Grant: Screening of peptide targeting skp2 for tumor therapy, grant NO. LQ12H16013.
Awarded by Zhejiang Provincial Natural Science Foundation of China (2012/01-2014/12)

2011      Grant: Identification of the peptide targeting for Skp2, grant NO. 2011KYB005.
Awarded by grants for Medical and health science and technology plan of Zhejiang province (2011/01-2013/12)

2011      Grant: Establishment of a pancreatic β cell proliferation model in vitro and a platform for diabetes drug screening, grant NO. 2011R10070.
Awarded by Qianjiang Talent project of Zhejiang province (2011/01-2013/12)

List of Publications:

1. Zhenyu Jia#, Jing Jia, Shuzhi Zhang &Jiang Cao*. CMV enhancer may not be suitable for tissue-specific enhancement of promoters in cancer gene therapy. Cancer Gene Therapy, 2019; doi: 10.1038/s41417-019-0106-x. [Epub ahead of print]

2.  Jing Jia#, Juan Ren, Yihui He, Zhenyu Jia, Shenglin Ma, Xiaoju Wang, Xiaoming Sun. The prognostic value of Skp2 expression level in cancer: a meta-analysis. International Journal of Clinical and Experimental Medicine, 2018; 11(2):431-444.

3.  Xiaoming Sun, Hongxing Cai, Zhouru Li, Shanshan Li, Wenjiang Yin, Guokai Dong, Jinxia Kuai, Yihui He, Jing Jia*. Association between IL-1b polymorphisms and gastritis risk: A meta-analysis. Medicine (Baltimore), 2017; 96(5): e6001.

4.  XinMin Pan, X. Xiao, Haojie Qin, Zhen Zhang, Zhaohui Li, Linbo Gao and Jing Jia*. MicroRNA variants and colorectal cancer risk: a meta-analysis. Genetics and Molecular Research, 2016; 15 (3): gmr.15038478.

5.  Jing Jia#, Juan Ren, Dongmei Yan, Long Xiao, Ruifen Sun*. Association between the XRCC6 Polymorphisms and Cancer Risk: a Systematic Review and Meta-analysis. Medicine (Baltimore), 2015; 94(1):e283.

6.  Jing Jia#, Wenzhe Wang#, Wen Meng, Mingjian Ding, Shenglin Ma*, Xiaoju Wang*. Development of a multiplex autoantibody test for detection of lung cancer. PLoS One, 2014; 9(4):e95444.

7.  Xinmin Pan#, Jing Jia#, Xiaomin Guo, Zhaohui Li, Zhen Zhang, Haojie Qin, Guohui Xu, Linbo Gao*. Lack of association between let-7 binding site polymorphism rs712 and risk of nasopharyngeal carcinoma. Familial Cancer, 2014; 13(1):93-97.

8.  Jing Jia#, Xiaoli Liu#, Yongxia Chen, Xiaoliang Zheng, Linlan Tu, Xiaoming Huang, Xiaoju Wang*. Establishment of a pancreatic β cell proliferation model in vitro and a platform for diabetes drug screening. Cytotechnology, 2014; 66(4):687-697.

9.  Lin Cui#, Jing Jia#, Chunfen Ma, Suyun Li, Youping Wang, Xiaomin Guo, Qiang Li, Haibin Yu, Weihong Liu, Linbo Gao*. IL‐13 polymorphisms contribute to the risk of asthma: A meta-analysis. Clinical Biochemistry, 2013; 45(4-5): 285-288.

10. Zhaohui Li, Xinmin Pan, BaoWei Han, Xiaomin Guo, Zhen Zhang, Jing Jia*, Linbo Gao*. A let-7 binding site polymorphism rs712 in the KRAS 3' UTR is associated with an increased risk of gastric cancer. Tumour Biology, 2013; 34(5):3159-3163.

11. Song Zheng; Keer Huang; Jing Jia; Xin Li; Deyou Tao. Rhabdomyosarcomatous differentiation in gastrointestinal stromal tumors after imatinib resistance: a potential diagnostic pitfall.  Experimental Biology and Medicine (Maywood), 2013; 238(1):120-124.

12. Song Zheng, Jing Jia, Yuelong Pan, Deyou Tao, Hongsheng Lu. Molecular and histologic characteristics of secondary imatinib-resistant gastrointestinal stromal tumors. Zhonghua Bing Li Xue Za Zhi, 2013; 42(1):42-43.

13. Song Zheng, Xiaoju Wang, Jing Jia, Yuelong Pan, Deyou Tao, Hongsheng Lu, Heer Huang. Establishment and pathologic analysis of imatinib-resistant gastrointestinal stromal tumor xenografts. Zhonghua Bing Li Xue Za Zhi, 2012; 41(3):176-180.

14. Linbo Gao; Peng Bai; Xinmin Pan; Jing Jia; Lijuan Li; Weibo Liang; Ming Tang; Lushun Zhang; Yonggang Wei; Lin Zhang.The association between two polymorphisms in pre-miRNAs and breast cancer risk: a meta-analysis. Breast Cancer Research and Treatment, 2011; 125(2):571-574.

15. LinBo Gao# , XinMin Pan# , Jing Jia# , WeiBo Liang , Li Rao, Hui Xue, Yi Zhu, ShiLiu Li, MeiLi Lv, Wei Deng, Tian-Yi Chen, YongGang Wei, Lin Zhang*. IL-8 -251A/T polymorphism is associated with decreased cancer risk among population-based studies: Evidence from a meta-analysis. European Journal of Cancer, 2010; 46 (8):1333–1343.

16. Jing Jia #, Hong Li, Shuhong Tai, Meili Lv, Miao Liao, Zhihui Yang, Beilei Zhang, Bin Zhou, Gengqian Zhang, Lin Zhang*. Construction and Preliminary Investigation of a Plasmid Containing a Novel Immunotoxin DT390-IL-18 Gene for the Prevention of Murine Experimental Autoimmune Encephalomyelitis. DNA and Cell Biology, 2008; 27(5): 279-285.

Research Interest: Cardiovascular Diseases, Neurology, Ischemic Stroke, Oxidative Stress, Antioxidant System,Immune System, Inflammation, Synaptic Plasticity, Molecular and Cellular Biology, Two-Photon Microscop.

Research Interest: Biochemistry, Neurobiology,Laboratory Medicine, Clinical Biochemistry, Clinical Molecular Biology