学　术

　　为搭建我校博士后之间的学术交流平台，促进学术水平提升，学校博士后管理办公室组织开展博士后学术沙龙活动。本次沙龙由我校博士后马洁、张诏月、贺瑞瑞和王瑞钰分享其研究成果，诚挚邀请感兴趣的师生参加。

　　一、时　　间：2024年6月21日（周五）14:30

　　二、地　　点：温江区三医创新中心8栋6楼会议室

　　三、活动安排：

　　报告一

　　（1）主题：血管微环境调控肺再生与纤维化

　　（2）主讲人：马洁  医学院博士后

　　（3）交流内容：

　　哺乳动物肺受到损伤后具有一定的修复再生能力，但这一能力会随着损伤的持续进行被抑制，导致肺纤维化的发生。目前，肺纤维化仍缺乏有效的治疗方法。血管内皮细胞可通过分泌不同的血管分泌因子或影响血管生成等方式对受损肺组织进行主动调节，平衡肺再生与纤维化。基于此，我们通过构建肺纤维化体内、体外模型，探讨了靶向编辑血管微环境促进肺再生的可能性。

　　（4）主讲人简介：

　　马洁，电子科技大学医学院博士后，研究方向为血管结构与功能异常。博士毕业于四川大学生物治疗国家重点实验室，在博士导师丁楅森的指导下完成了血管微环境调控肺再生与纤维化等课题。

　　报告二

　　（1）主题：The Bioinformatics Technologies in RNA Spatial Pattern Recognition and Disease Biomarker Discovery

　　（2）主讲人：张诏月  医学院博士后

　　（3）交流内容：

　　In this talk, we briefly discuss the RNA subcellular location prediction problem and biomarker discovery problem.Precisely orchestrated spatial expression patterns of RNA are pivotal for the normal developmental processes and the maintenance of biological homeostasis. Given the wealth of RNA subcellular localization data, it is of great significance to develop computational methods that can yield precise predictions and conduct efficient data analyses to identify key factors in the RNA subcellular localization process. This project dedicated to addressing these challenges with two primary objectives: the development of efficient multi-label RNA subcellular localization prediction methods and the identification of functional elements within RNA subcellular localization. To achieve these goals, we curated novel and reliable multi-label datasets encompassing subcellular location information for miRNA and lncRNAs in Homo sapiens. In constructing RNA subcellular localization prediction models, we capitalize on the coding information in RNA sequences and harness the advantages of deep learning algorithms in multi-label learning. This approach led to the development of deep learning-based frameworks tailored to predict of RNA subcellular localization. Furthermore, we conducted investigations into the critical motifs within RNA sequences associated with RNA subcellular localization.

　　Pancreatic ductal adenocarcinoma (PDAC) accounts for 95% of all pancreatic cancer cases, posing grave challenges to its diagnosis and treatment. Timely diagnosis is pivotal for improving patient survival, necessitating the discovery of precise biomarkers. An innovative approach was introduced to identify gene markers for precision PDAC detection. The core idea of our method is to discover gene pairs that display consistent opposite relative expression and differential co-expression patterns between PDAC and normal samples. Reversal gene pair analysis and differential partial correlation analysis were performed to determine reversal differential partial correlation (RDC) gene pairs. As a result, the approach identified 10 RDC gene pairs. And the model could achieve a remarkable accuracy, surpassing gene expression-based models. The findings highlight the potential of these 10 RDC gene pairs as effective diagnostic markers for early PDAC detection, bringing hope for improving patient prognosis and survival.

　　（4）主讲人简介：

　　Zhao-Yue Zhang is a postdoctoral researcher specializing in Bioinformatics. She earned her Ph.D. in Bioinformatics from the University of Tsukuba, under the supervision of Professor Tetsuya Sakurai. Her research interests encompass RNA, Computational Biology, Spatial Transcriptomics, and Disease Biomarker Discovery.

　　报告三

　　（1）主题：EPHB2参与抗DNA病毒免疫的机制研究

　　（2）主讲人： 贺瑞瑞  医学院博士后

　　（3）交流内容：

　　cGAS-STING信号通过诱导I型干扰素和炎症因子的表达，启动抗病毒天然免疫应答。而cGAS的多种翻译后修饰，如磷酸化、泛素化和乙酰化等，对其功能发挥至关重要。EPHB2是一种受体酪氨酸激酶，本汇报人的前期工作已经发现了EPHB2在抵抗真菌感染中的重要作用机制。近期的研究发现EPHB2还参与了cGAS-STING抗病毒免疫，并对其调控机制进行了深入研究。因此，此次汇报将围绕EPHB2在固有免疫中的重要功能，重点介绍其负向调控巨噬细胞中cGAS-STING信号通路活化的分子机制，以及通过筛选出EPHB2的小分子抑制剂，来增强cGAS-STING信号通路的活化以及机体抵抗HSV-1感染的能力，从而为机体抗病毒免疫治疗提供可靠靶点。

　　（4）主讲人简介：

　　贺瑞瑞，理学博士，2021年毕业于华中科技大学，电子科技大学医学院博士后。主要研究方向：抗真菌免疫和抗病毒免疫研究，相关成果发表于Nature Communications， Journal of Immunology, Frontiers in Microbiology等。目前主持国家自然科学基金青年项目1项、中国博士后科学基金面上项目1项和四川省博士后科研项目特别资助1项。

　　报告四

　　（1）主题：Role of cyclic GMP-AMP synthase in mediating cardiac dysfunction post-cardiac arrest

　　（2）主讲人：王瑞钰  医学院博士后 

　　（3）交流内容：

　　Cardiac dysfunction often occurs following cardiac arrest (CA) and represents a common complication associated with high mortality during post resuscitation care. However, limited medical interventions are currently available due to the complex pathophysiological processes of CA. This report aims to investigate the role of cyclic GMP-AMP synthase (cGAS), a stimulator of interferon genes (STING) pathway in post‑CA myocardial dysfunction. In vivo, ventricular fibrillation (VF)-induced CA was induced in rats, and RU.521 (a cGAS inhibitor) was administered to inhibit cGAS activity. In vitro, H9C2 cardiomyocytes were subjected to hypoxia and reoxygenation (H/R) to mimic CA occurrence and were transfected with a specific siRNA targeting cGAS to block activation of the cGAS-STING pathway. We found that both in myocardial tissues from rats after spontaneous circulation (ROSC) and in H/R-treated H9C2 cells, the cGAS-STING pathway was significantly activated. Moreover, administration of RU.521 effectively improved cardiac function and maintained hemodynamic stability in rats after ROSC, and knockdown of cGAS protected H9C2 cells against H/R-induced cell injury. Furthermore, blocking the activation of the cGAS mitigated CA-induced mitochondrial injury and suppressed oxidative stress and apoptosis. These findings suggest that activation of the cGAS-STING pathway contributes to myocardial injury after CA, and targeting cGAS may be a promising therapeutic approach for improving cardiac function in patients following CA.

　　（4）主讲人简介：

　　王瑞钰，医学博士，电子科技大学医学院博士后，2020年博士毕业于重庆医科大学。主要研究方向为“心脏骤停后心功能障碍的发病机制”和“心肌梗死后心肌纤维化的早期识别及阻断”。主持中国博士后科学基金面上项目、四川省自然科学基金等多项研究，发表多篇学术论文。   

　　四、主办单位：电子科技大学博士后管理办公室

　　五、承办单位：医学院   四川省人民医院   电子科技大学博士后联谊会