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宿菲 封面图

宿菲 (Fei Su)

Harbin Medical University博士后
H指数:0
被引数:0

个人简介

"宿菲,教授、博士研究生、硕士生导师。承担信息论、模式识别、Python、专业外语、高等数学、留学生微积分及数据挖掘7门课程的教学。指导学生参加美国大学生数学建模竞赛并获取国际二等奖三项。主持国家自然科学基金项目1项,中国博士后科学基金1项,黑龙江省自然科学基金1项,黑龙江省博士后基金3项,厅局级课题5项,共发表SCI收录论文30余篇,其中第一作者SCI论文10余篇。\n教育经历\n1.2019年-2020年美国西奈山医学院生物信息实验室博士后\n研究方向:肿瘤生物信息学;单细胞分析;医学图像处理\n2.2014年-2017年 哈尔滨医科大学 博士生物医学工程专业\n研究方向:癌症转录因子、microRNA转录调控机制研究\n3.2005年-2008年哈尔滨医科大学硕士生物医学工程专业\n研究方向:癌症转录因子转录调控机制研究\n4.1999年-2003年 哈尔滨理工大学学士\n专业:电子信息工程\n工作经历\n2003年7月-至今哈尔滨医科大学生物信息科学与技术学院生物信息教研室教师\n2019年8月-2020年8月美国西奈山医学院博士后\n主持科研项目(部分)\n1.国家自然科学基金恶性肿瘤竞争性转录调控三元组(TF-lncRNA/miRNA)识别及其功能研究(61801151)\n2.中国博士后科学基金面上项目癌症新型临床标记物(TF-lncRNA/miRNA)识别及研究(2019M651298)\n3.黑龙江省自然科学基金从组织到细胞恶性肿瘤竞争性转录调控三元组识别及作用机制研究(LH2021F053)\n4.黑龙江省博士后面上基金恶性肿瘤竞争性转录调控三元组(TF-lncRNA/miRNA)识别及临床应用(LBH-Z18129)\n5.黑龙江省博士后科研启动金\n6.省卫生厅 基于调控网络挖掘人类乳腺癌关键基因及风险子通路(2014-418)\n7.省教育厅 结肠癌相关基因的转录因子及其蛋白互作网络的关联研究(11531218)\n8.省卫生厅 TGF-β通路对结肠癌的影响及调控机制的研究(2012-807)\n9.省卫生厅 结肠癌相关基因转录因子及其调控机制的研究(2006-280)\n主持教学项目\n主持省教育厅“团队合作项目教学法”在生物信息专业毕业设计中的应用(JG2014010880)\n指导学生获奖\n2023年美国大学生数学建模国际二等奖2项\n2022年美国大学生数学建模国际二等奖1项\n发表SCI论文(部分)1.Baoquan Liu, Daode Bao, Lianyou Zhao, Yuyu Liu, Ziyu Gao, Yue Zeng, Guiqin Zhou, Yonghua Zong, Chunmei Maoe, Fuchun Lv, Jiahui Sheng, Hongji Shi,Fei Su. Breast cancer tumor immune microenvironment landscape identifies prognostic risk genes and potential drugs.Journal of Chromatography B. Volume 1276, 15 May 2026, 125005(通讯)\n2.Fei Su, Yueyang Liu, Yonghua Zong, Ziyu Gao, Guiqin Zhou, Chao Deng, Yuyu Liu, Yue Zeng, Xiaoyan Ma, Yongxia Wang, Yinwei Wu3, Fusheng Xu, Lili Guan, Baoquan Liu. Identification of circulating miRNA as early diagnostic molecular markers in malignant glioblastoma base on decision tree joint scoring algorithm.Journal of Cancer Research and Clinical Oncology (2023) 149:17823–17836(一作)\n3.Fei Su,Ziyu Gao,Yueyang Liu,Guiqin Zhou,Wei Gao,Chao Deng,Yuyu Liu,Yihao Zhang,Xiaoyan Ma,Yongxia Wang,Lili Guan,Yafang Zhang,Baoquan Liu.Prioritizing key synergistic circulating microRNAs for the early diagnosis of biliary tract cancer. Front Oncol. 2022 Oct 6;12:968412(一作)\n4.Fei Su,Ziyu Gao,Yueyang Liu,Guiqin Zhou,Ying Cui,Chao Deng,Yuyu Liu,Yihao Zhang,Xiaoyan Ma,Yongxia Wang,Lili Guan,Yafang Zhang,Baoquan Liu. Genes (Basel). Integrated Tissue and Blood miRNA Expression Profiles Identify Novel Biomarkers for Accurate Non-Invasive Diagnosis of Breast Cancer: Preliminary Results and Future Clinical Implications. 2022 Oct 24;13(11):1931.(一作)\n5.B Liu,F Su,X Lv,W Zhang,X Shang,Y Zhang. Serum microRNA-21 predicted treatment outcome and survival in HER2- positive breast cancer patients receiving neoadjuvant chemotherapy combined with trastuzumab. Cancer Chemotherapy and Pharmacology ISSN 0344-5704 Volume 84 Number 5 Cancer Chemother Pharmacol (2019) 84:1039-1049 DOI 10.1007/s00280-019-03937-9.(并列一)\n6.Su F, Shang D, Xu Y, Feng L, Yang H, Liu B, Su S, Chen L, Li X. Cofunctional Subpathways Were Regulated by Transcription Factor with Common Motif,Common Family, or Common. Biomed Res Int.,2015.11.24,780357(doi:10.1155/2015/7).(一作)\n7.You K,Su F, Liu L, Lv X, Zhang J, Zhang Y, Liu B. SCARA5 plays a critical role in the progression and metastasis of breast cancer by inactivating the ERK1/2, STAT3, and AKT signaling pathways.Mol Cell Biochem. 2017, 435(1-2): 47-58.(并列一)\n8.Liu B,Su F, Chen M, Li Y, Qi X, Xiao J, Li X, Liu X, Liang W, Zhang Y, Zhang J. Serum miR-21 and miR-125b as markers predicting neoadjuvant chemotherapy response and prognosis in stage II/III breast canc.Hum Pathol. 2017, 64: 44-52.(并列一)\n9.Liu B,Su F,Li Y, Qi X, Liu X, Liang W, You K, Zhang Y, Zhang J. Changes of serum miR34a expression during neoadjuvant chemotherapy predict the treatment response and prognosis in stage II/III breast cancer. Biomed Pharmacother. 2017, 88: 911-917.(并列一)\n10.Su F, Li X, You K, Chen M, Xiao J, Zhang Y, Ma J, Liu B. Expression of VEGF-D, SMAD, and SMAD7 and Their Relationship with Lymphangiogenesis and Prognosis in Colon Cancer. J Gastrointest Surg. 2016, 20(12): 2074-2082(一作)\n11.Su F, Liu B, Chen M, Xiao J, Li X, Lv X, Ma J, You K, Zhang J, Zhang Y. Association between VEGF-A, C and D expression and lymph node involvement in breast cancer: a meta-analysis.Int J Biol Markers. 2016, 31(3): e235-44(并列一)\n12.Han J, Liu S, Jiang Y, Xu C, Zheng B, Jiang M, Yang H,Su F, Li C, Zhang Y. Inference of patient-specific subpathway activities reveals a functional signature associated with the prognosis of patients with breast cancer. J Cell Mol Med. 2018 Jul 4. doi: 10.1111/jcmm.13720.\n13.Haixiu Yang, Desi Shang, Yanjun Xu, Chunlong Zhang, Li Feng, Zeguo Sun, Xinrui Shi, Yunpeng Zhang, Junwei Han,Fei Su, Chunquan Li, Xia Li.The LncRNA Connectivity Map: Using LncRNA Signatures to Connect Small Molecules, LncRNAs and Diseases.Sci Rep. 2017; 7: 6655. 2017 Jul 27. doi: 10.1038/s41598-017-06897-3.\n14.Yanjun Xu, Haixiu Yang, Tan Wu, Qun Dong, Zeguo Sun, Desi Shang, Feng Li, Yingqi Xu,Fei Su, Siyao Liu, Yunpeng Zhang, Xia Li.BioM2MetDisease: a manually curated database for associations between microRNAs, metabolites, small molecules and metabolic diseases. Database(Oxford) 2017 2017 May12. doi: 10.1093/database/bax037.\n15.Fan Zhang, Chunyan Ren, Hengqiang Zhao, Lei Yang,Fei Su, Ming-Ming Zhou, Junwei Han, Eric A. Sobie, Martin J. Walsh.Identification of novel prognostic indicators for triple-negative breast cancer patients through integrative analysis of cancer genomics data and protein interactome data.Oncotarget. 2016 Nov 1; 7(44): 71620–71634.\n16.Han J, Liu S, Sun Z, Zhang Y, Zhang F, Zhang C, Shang D, Yang H,Su F, Xu Y, Li C, Ren H, Li X. LncRNAs2Pathways: Identifying the pathways influenced by a set of lncRNAs of interest based on a global network propagation method.Sci Rep. 2017 Apr 20;7:46566.\n17.Li S,Xu Y,Sun Z,Feng L,Shang D,Zhang C,Shi X,Han J;Su F,Yang H,Zhao J,Song C,Zhang Y,Li C,Li X.Identification of a lncRNA involved functional module for esophageal cancer subtypes.Mol Biosyst, 2016.10.18, 12(11):3312-3323.\n18.Shi Xinrui,XuYanjun,Zhang Chunlong,Feng Li,Sun Zeguo,Hang Junwei,Su Fei,Zhang Yunpeng,Li.Subpathway-LNCE: Ide"

教育背景

  • 2014.01 – 2017.12

    哈尔滨医科大学 博士 生物医学工程

  • 2005.01 – 2008.12

    哈尔滨医科大学 硕士 生物医学工程

  • 1999.01 – 2003.12

    哈尔滨理工大学 学士 电子信息工程

工作经历

  • 2019.08 – 2020.08

    美国西奈山医学院

    博士后

  • 2003.07 – 至今

    哈尔滨医科大学生物信息科学与技术学院生物信息教研室

    教师

荣誉奖项

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