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Multi-omics and transcriptomic profiling of anesthetic response reveals RNA regulatory networks in postoperative nausea and vomiting 麻醉反应的多组学和转录组学分析揭示了术后恶心和呕吐的RNA调节网络。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-03-01 Epub Date: 2026-01-14 DOI: 10.1016/j.slast.2026.100389
Lei An
Postoperative nausea and vomiting (PONV) are still significant issues in the perioperative care that impact patient recovery and satisfaction, but the underlying molecular pathways that lead to personal predisposition are not comprehensively understood. In order to fill this gap we performed a multi-omics study incorporating bulk RNA sequencing, single cell transcriptomics, circRNA profiling, and alternative splicing evaluation and genotype expression colocalization analyses to detail regulatory networks of PONV. Analysis of differential expression showed inflammatory pathways and neurotransmission pathways as key driving factors in the development of symptoms, and HIF1A and STAT3 were found to be prominent central nodes in a variety of data layers. Cell type-specific transcriptional signatures indicative of neuroimmune interaction as a driving force were identified at the single-cell level with regulatory noncoding elements including differentiation of back-splice junction support of circPTGS2 and circGABRA3 and alternative splicing of GABRA3 indicating further post-transcriptional regulation. Convergent molecular signals were observed between matched datasets of patients with Integration of bulk and single-cell expression with BisqueRNA deconvolution and Harmony batch correction. These results present the initial transcriptomics-wide multi-dimensional model to integrate genetic variation, RNA organization and cellular heterogeneity to describe PONV susceptibility. The paper is supporting the sale of potential biomarker(s) that promise to inform any future clinical prediction framework and tailored antiemetic alternatives, which forms the basis of translating to diagnostic and therapeutic uses. Clinical implementation will be provided with further validation, such as protein-level validation and splice variants PCR confirmation and increased multicentric cohorts.
术后恶心和呕吐(PONV)仍然是围手术期护理中影响患者恢复和满意度的重要问题,但导致个人易感性的潜在分子途径尚未全面了解。为了填补这一空白,我们进行了一项多组学研究,包括大量RNA测序、单细胞转录组学、环状RNA谱学、选择性剪接评估和基因型表达共定位分析,以详细描述PONV的调控网络。差异表达分析显示炎症途径和神经传递途径是症状发展的关键驱动因素,在多种数据层中发现HIF1A和STAT3是突出的中心节点。细胞类型特异性转录特征表明神经免疫相互作用是一种驱动力,在单细胞水平上发现了调节非编码元件,包括circPTGS2和circGABRA3的后剪接支持的分化和GABRA3的可选剪接,表明进一步的转录后调节。通过BisqueRNA反卷积和Harmony批量校正整合整体和单细胞表达,观察到匹配数据集之间的分子信号趋同。这些结果提出了一个初始的转录组学范围的多维模型,以整合遗传变异、RNA组织和细胞异质性来描述PONV易感性。该论文支持潜在生物标志物的销售,这些生物标志物有望为任何未来的临床预测框架和量身定制的止吐替代方案提供信息,这构成了转化为诊断和治疗用途的基础。临床实施将提供进一步的验证,如蛋白质水平验证和剪接变异PCR确认以及增加的多中心队列。
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引用次数: 0
Mechanism study on promoting podocyte injury by regulating ATPA1 and PARK2 mediated mitochondrial dysfunction: Immunofluorescence image analysis 调节ATPA1和PARK2介导的线粒体功能障碍促进足细胞损伤的机制研究:免疫荧光图像分析
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-03-01 Epub Date: 2026-01-21 DOI: 10.1016/j.slast.2026.100391
Yanqin Huang , Yuqian Lin , Wurui Guo , Haiping Huang , Haiting Huang , Peng Huang , Xu Lin
'HSP90AB1 protein macromolecule plays an important role in various cellular stress responses, but its specific mechanism in podiatocyte injury and mitochondrial dysfunction remains unclear. The aim of this study was to investigate the mechanism of how 'HSP90AB1 mediates mitochondrial dysfunction and leads to podiocyte injury through regulation of ATP5A1 and PARK2. Clinical podocyte samples were collected and the MPC5 mouse podocyte cell line was used for experiments. The interaction of 'HSP90AB1 with ATP5A1 and PARK2 was analyzed by transcriptome sequencing, cell culture, 'HSP90AB1 overexpression and knockdown construction, combined immunoprecipitation (CoIP) and immunofluorescence detection. CCK8 was used to measure cell viability, Westernblot and qPCR were used to assess protein and mRNA expression levels, and statistical methods were used to analyze the data. Bioinformatics analysis revealed physical or functional interactions between 'HSP90AB1, ATP5A1, and PARK2 proteins. The interaction between 'HSP90AB1 and these two proteins was verified by cell experiments, and 'HSP90AB1 played an important role in podiatocyte injury. In ADR-induced podocyte injury model, mRNA and protein expressions of 'HSP90AB1, ATP5A1 and PARK2 were significantly changed, and the expression of mitochondrial autophagy related proteins was also changed. Further analysis showed that the interaction between 'HSP90AB1, ATP5A1 and PARK2 played a key role in the process of podiocyte injury. This study revealed that 'HSP90AB1 mediates mitochondrial dysfunction by regulating the interaction of ATP5A1 and PARK2, thereby promoting podiocyte injury. This discovery provides new potential targets for the treatment of podocyte injury and contributes to the understanding of the pathological mechanisms of related diseases.
HSP90AB1蛋白大分子在各种细胞应激反应中发挥重要作用,但其在足细胞损伤和线粒体功能障碍中的具体机制尚不清楚。本研究旨在探讨HSP90AB1如何通过调节ATP5A1和PARK2介导线粒体功能障碍并导致足细胞损伤的机制。收集临床足细胞样本,采用MPC5小鼠足细胞细胞系进行实验。通过转录组测序、细胞培养、HSP90AB1过表达和敲低构建、联合免疫沉淀(CoIP)和免疫荧光检测分析HSP90AB1与ATP5A1和PARK2的相互作用。采用CCK8检测细胞活力,采用Westernblot和qPCR检测蛋白和mRNA表达水平,并采用统计学方法分析数据。生物信息学分析显示HSP90AB1、ATP5A1和PARK2蛋白之间存在物理或功能上的相互作用。细胞实验证实了HSP90AB1与这两种蛋白的相互作用,HSP90AB1在足细胞损伤中发挥了重要作用。在adr诱导足细胞损伤模型中,HSP90AB1、ATP5A1和PARK2 mRNA和蛋白表达均发生了显著变化,线粒体自噬相关蛋白表达也发生了变化。进一步分析发现,HSP90AB1、ATP5A1和PARK2的相互作用在足细胞损伤过程中发挥了关键作用。本研究发现HSP90AB1通过调节ATP5A1和PARK2的相互作用介导线粒体功能障碍,从而促进足细胞损伤。这一发现为足细胞损伤的治疗提供了新的潜在靶点,并有助于了解相关疾病的病理机制。
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引用次数: 0
Exploring antibiotic degradation mechanisms: Molecular docking analysis of beta-lactamase enzymes from Pseudomonas songnenensis 探索抗生素降解机制:松嫩假单胞菌β -内酰胺酶的分子对接分析。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-03-01 Epub Date: 2026-01-25 DOI: 10.1016/j.slast.2026.100397
Pratibha T , Subash Vetri Selvi , Uyen Khanh Pham , Ling Shing Wong , Sinouvassane Djearamane , Jui-Jen Chang , Prakash Balu , Wesley Wei-Wen Hsiao
This study investigates the potential of Pseudomonas songnenensis (P. songnenensis) in degrading β-lactam antibiotics through enzymatic hydrolysis by β-lactamase. Faecal soil samples were collected from ten poultry farms in Tamil Nadu, India, between June and July 2023. Each farm houses 10,000–50,000 birds and routinely administers antibiotics. Among the bacterial isolates obtained, strain 18 showed the highest degradation activity. Molecular docking analysis revealed stable enzyme-antibiotic interactions, with Amoxicillin showing the strongest binding affinity due to multiple hydrogen bonds. The β-lactamase enzyme effectively hydrolyses the β-lactam ring, breaking the amide bond and rendering antibiotics inactive. This stepwise degradation mechanism contributes to reducing antibiotic persistence in the environment and offers insights into microbial-driven bioremediation strategies. The findings highlight the novelty of using P. songnenensis for antibiotic degradation and emphasise its potential application in mitigating antibiotic pollution in livestock farming and food production systems.
本研究探讨了松嫩假单胞菌(P. songnenensis)通过β-内酰胺酶(β-Lase)水解降解β-内酰胺类抗生素的潜力。在2023年6月至7月期间,从印度泰米尔纳德邦的10个家禽养殖场收集了粪便土壤样本。每个农场都有1万到5万只鸟,并定期使用抗生素。菌株18的降解活性最高。分子对接分析显示,酶与抗生素的相互作用稳定,阿莫西林由于有多个氢键而表现出最强的结合亲和力。β-Lase酶能有效水解β-内酰胺环,破坏酰胺键,使抗生素失去活性。这种逐步降解机制有助于减少抗生素在环境中的持久性,并为微生物驱动的生物修复策略提供见解。这些发现突出了利用P. songnenensis降解抗生素的新颖性,并强调了其在减轻畜牧业和粮食生产系统中的抗生素污染方面的潜在应用。
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引用次数: 0
Targeting LUM-mediated inflammatory cell communication and fibroblast apoptosis with SFI in Heart Failure 心衰中SFI靶向lm介导的炎症细胞通讯和成纤维细胞凋亡。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-03-01 Epub Date: 2026-01-30 DOI: 10.1016/j.slast.2026.100399
Tiansheng Su, Tingyu Luo, Yu Lin, Jialing Liu, Baosheng Lai, Zhangwu Xiao
Heart failure (HF) remains a major contributor to global morbidity and mortality, characterized by complex pathological processes including inflammation and aberrant intercellular communication. Shenfu Injection (SFI), a traditional Chinese herbal preparation, shows beneficial clinical outcomes in HF, but the precise molecular basis governing its effects on the cardiac microenvironment is not fully elucidated. We integrated single-cell RNA sequencing (scRNA-seq), bulk transcriptomics, and machine learning to investigate the cellular landscape, intercellular communication networks, and key apoptosis-related genes in HF. Cell-cell interaction analyses were performed to dissect signaling dynamics. The cardioprotective effects of SFI were validated in a murine HF model. scRNA-seq revealed a pro-inflammatory microenvironment characterized by immune cell activation and elevated apoptosis, particularly in fibroblast populations. Cell-cell communication analysis highlighted a dramatic increase in intercellular signaling activity in HF, with pro-inflammatory pathways like MAPK being central to this pathological crosstalk. Through LASSO regression and pathway analysis, LUM (Lumican) was identified as a fibroblast-specific, apoptosis-related hub gene. SFI treatment significantly downregulated LUM expression and the associated p38/p53 pathway, thereby limiting cardiomyocyte apoptosis, reducing inflammatory cytokine levels (TNF-α, IL-6), improving cardiac performance, and alleviating myocardial injury. This study identifies LUM as a critical regulator at the intersection of apoptosis, inflammation, and cellular communication in HF. We demonstrate that SFI exerts its cardioprotective effects by modulating the LUM-mediated signaling axis, thereby disrupting pathological intercellular signaling and mitigating inflammation. These findings offer novel mechanistic insights, positioning the LUM-centric inflammatory communication network as a potential therapeutic target for HF.
心力衰竭(HF)仍然是全球发病率和死亡率的主要原因,其特点是复杂的病理过程,包括炎症和异常的细胞间通讯。中药制剂参附注射液(SFI)对心力衰竭有良好的临床疗效,但其影响心脏微环境的确切分子基础尚未完全阐明。我们整合了单细胞RNA测序(scRNA-seq)、大量转录组学和机器学习来研究HF的细胞景观、细胞间通信网络和关键凋亡相关基因。细胞-细胞相互作用分析进行解剖信号动力学。在小鼠HF模型中验证了SFI的心脏保护作用。scRNA-seq揭示了以免疫细胞活化和细胞凋亡升高为特征的促炎微环境,特别是在成纤维细胞群体中。细胞间通讯分析强调了HF细胞间信号活动的急剧增加,促炎通路如MAPK是这种病理串扰的核心。通过LASSO回归和通路分析,确定了LUM (Lumican)是一个成纤维细胞特异性的、凋亡相关的枢纽基因。SFI治疗可显著下调LUM表达及相关p38/p53通路,从而限制心肌细胞凋亡,降低炎症细胞因子(TNF-α、IL-6)水平,改善心脏机能,减轻心肌损伤。本研究发现,在HF中,LUM是凋亡、炎症和细胞通讯的关键调节因子。我们证明SFI通过调节lum介导的信号轴发挥其心脏保护作用,从而破坏病理性细胞间信号传导并减轻炎症。这些发现提供了新的机制见解,将以lum为中心的炎症通讯网络定位为心衰的潜在治疗靶点。
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引用次数: 0
Life sciences discovery and technology highlights 生命科学发现和技术亮点。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-03-01 Epub Date: 2026-01-19 DOI: 10.1016/j.slast.2026.100390
Tal Murthy , Jamien Lim
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引用次数: 0
Empowering chemists in drug design: Delivering AI solutions through an ELN framework at the enterprise level 授权化学家进行药物设计:通过企业层面的ELN框架提供人工智能解决方案。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-03-01 Epub Date: 2026-01-31 DOI: 10.1016/j.slast.2026.100392
Ting Qin, Aparna Chandrasekaran, Jack Hoffman, Jason Shiers, Tarun Jain, Colin Sambrook Smith
Artificial intelligence (AI) holds immense potential to revolutionize drug discovery, yet its widespread adoption within scientific enterprises faces significant hurdles. Key challenges include ensuring user-friendliness, managing complex workflows, and integrating diverse datasets. To address these issues, we propose a novel framework that leverages the familiar Electronic Lab Notebook (ELN) paradigm. By formalizing AI workflows as ELN protocols and treating AI execution as ELN experiments, the proposed system provides a scalable, traceable, and user-oriented deployment strategy that aligns with existing laboratory practices. This ELN-based framework adheres to FAIR principles, enhancing data findability, accessibility, interoperability, and reusability. By mirroring the intuitive ELN interface, our solution empowers bench chemists to easily access and utilize cutting-edge AI tools, enabling them to move beyond purely synthetic roles and fully engage as medicinal chemists. This allows chemists to design compounds with real-time consideration of synthetic feasibility and to actively contribute to the drug design process with their practical expertise, thereby accelerating drug discovery efforts and maximizing the return on AI investments.
人工智能(AI)具有革新药物发现的巨大潜力,但其在科学企业中的广泛应用面临着重大障碍。主要的挑战包括确保用户友好性、管理复杂的工作流程和集成不同的数据集。为了解决这些问题,我们提出了一个利用熟悉的电子实验室笔记本(ELN)范例的新框架。通过将AI工作流形式化为ELN协议,并将AI执行视为ELN实验,所提议的系统提供了与现有实验室实践相一致的可扩展、可跟踪和面向用户的部署策略。这个基于eln的框架遵循FAIR原则,增强了数据的可查找性、可访问性、互操作性和可重用性。通过镜像直观的ELN界面,我们的解决方案使实验室化学家能够轻松访问和利用尖端的人工智能工具,使他们能够超越纯粹的合成角色,充分参与药物化学家的工作。这使得化学家能够在实时考虑合成可行性的情况下设计化合物,并利用他们的实际专业知识积极参与药物设计过程,从而加快药物发现工作,最大限度地提高人工智能投资的回报。
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引用次数: 0
Rapid colorimetric detection of Citrus tristeza virus combining portable sample preparation and reverse transcription-loop mediated isothermal amplification 便携式样品制备与逆转录环介导等温扩增相结合的柑橘tristeza病毒快速比色检测。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-03-01 Epub Date: 2026-01-30 DOI: 10.1016/j.slast.2026.100398
Chia-Wei Liu , Sohrab Bodaghi , Manjunath L. Keremane , Brent Kalish , Georgios Vidalakis , Hideaki Tsutsui
This article details combined portable sample preparation and colorimetric detection using loop-mediated isothermal amplification (RT-LAMP) of Citrus tristeza virus (CTV) from citrus leaves. The sample preparation employs an OmniLyse micro-homogenizer and cellulose paper disks to extract and isolate total nucleic acids in <15 min. Primer and dimethyl sulfoxide (DMSO) concentrations were optimized to minimize RT-LAMP assay reaction times and maximize the delay in the appearance of false positives due to non-specific amplification, respectively. The CTV primers were assessed against a panel of 24 CTV-positive isolates and 6 non-CTV pathogen isolates. To adapt the protocol for cold-chain-free field deployment, a lyophilized RT-LAMP reagent mix was developed and its rehydration solution was optimized to minimize false positives. In a greenhouse setting, the micro-homogenizer successfully extracted and isolated nucleic acids from CTV-positive trees, followed by the lyophilized RT-LAMP assay positively detecting the pathogen within 35 min. This study establishes the feasibility of quick and portable CTV detection without access to laboratory equipment, paving the way for larger-scale field studies, comprehensive validation of assay performance, and potential extension to other plant pathogens.
本文详细介绍了利用环介导等温扩增(RT-LAMP)技术对柑橘叶片中柑橘tristeza病毒(CTV)进行便携式样品制备和比色检测的方法。样品制备采用OmniLyse微均质机和纤维素纸盘,在不到15分钟的时间内提取和分离总核酸。引物和二甲基亚砜(DMSO)浓度分别优化,以最大限度地减少RT-LAMP测定的反应时间,最大限度地延迟因非特异性扩增而出现的假阳性。用24株CTV阳性分离株和6株非CTV病原菌分离株对CTV引物进行评估。为了适应无冷链现场部署的方案,开发了一种冻干RT-LAMP试剂混合物,并对其补液溶液进行了优化,以最大限度地减少误报。在温室环境下,微均质机成功地从ctv阳性树木中提取并分离出核酸,随后在35分钟内进行冻干RT-LAMP试验,检测出病原体阳性。本研究建立了无需实验室设备即可快速便携式CTV检测的可行性,为更大规模的现场研究、分析性能的全面验证以及推广到其他植物病原体铺平了道路。
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引用次数: 0
Asynchronous batch Bayesian optimization with pipelining evaluations in experimental equipment-limited situations 实验设备受限条件下流水线评估的异步批处理贝叶斯优化。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-03-01 Epub Date: 2026-01-30 DOI: 10.1016/j.slast.2026.100396
Yujin Taguchi , Yusuke Shibuya , Yusuke Hiki , Takashi Morikura , Takahiro G. Yamada , Akira Funahashi
Bayesian optimization is efficient even with a small amount of data and is used in engineering and in science, including biology and chemistry. In Bayesian optimization, a parameterized model with an uncertainty is fitted to explain the experimental data, and then the model suggests parameters that would most likely improve the results. Batch Bayesian optimization reduces the processing time of optimization by parallelizing experiments. However, batch Bayesian optimization cannot be applied if the number of parallelized experiments is limited by the cost or scarcity of equipment; in such cases, sequential methods require an unrealistic amount of time. In this study, we developed pipelining Bayesian optimization (PipeBO) to reduce the processing time of optimization even with a limited number of parallel experiments. PipeBO was inspired by the pipelining of central processing unit architecture, which divides computational tasks into multiple processes. PipeBO was designed to achieve experiment parallelization by overlapping various processes of the experiments. PipeBO uses the results of completed experiments to update the parameters of running parallelized experiments. PipeBO was mathematically formulated by modeling experiments as multiple processes with asynchronous result arrival, enabling partial model updates in a pipelined fashion. Using the Black-Box Optimization Benchmarking, which consists of 24 benchmark functions, we compared PipeBO with the sequential Bayesian optimization methods. PipeBO reduced the average processing time of optimization to about 56% for the experiments that consisted of two processes or even less for those with more processes for 20 out of the 24 functions. Overall, PipeBO parallelizes Bayesian optimization in experimental equipment–limited situations so that efficient optimization can be achieved.
贝叶斯优化即使在数据量很小的情况下也很有效,并被用于工程和科学领域,包括生物学和化学。在贝叶斯优化中,首先拟合一个具有不确定性的参数化模型来解释实验数据,然后该模型给出最有可能改善结果的参数。批处理贝叶斯优化通过并行化实验来减少优化的处理时间。然而,如果并行实验的数量受到成本或设备稀缺的限制,则批量贝叶斯优化无法应用;在这种情况下,顺序方法需要大量的时间。在本研究中,我们开发了流水线贝叶斯优化(pipeline Bayesian optimization, PipeBO),即使在并行实验数量有限的情况下,也可以减少优化的处理时间。PipeBO的灵感来自于中央处理器架构的流水线,它将计算任务划分为多个进程。PipeBO的设计目的是通过重叠实验的各个过程来实现实验的并行化。PipeBO使用已完成的实验结果来更新运行并行实验的参数。通过将实验建模为具有异步结果到达的多个进程,PipeBO在数学上进行了表述,从而支持以流水线方式更新部分模型。使用由24个基准函数组成的黑盒优化基准测试,我们将PipeBO与顺序贝叶斯优化方法进行了比较。对于包含两个进程的实验,PipeBO将优化的平均处理时间减少到56%左右,对于包含更多进程的实验,对于24个函数中的20个函数,PipeBO将优化的平均处理时间减少到更少。总体而言,PipeBO在实验设备有限的情况下并行化贝叶斯优化,从而实现高效优化。
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引用次数: 0
Transcriptomics reveals new therapeutic targets for ovarian cancer 转录组学揭示卵巢癌新的治疗靶点
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-03-01 Epub Date: 2026-01-21 DOI: 10.1016/j.slast.2026.100393
Yue Feng , Guoyan Liu

Background

Ovarian cancer (OC) remains the most lethal gynecologic malignancy, primarily due to late-stage diagnosis resulting from nonspecific early symptoms. This study aims to identify novel genetic targets and elucidate the underlying mechanisms driving OC progression by integrating multi-omics datasets.

Methods

We comprehensively analyzed OC datasets from the Gene Expression Omnibus (GEO) database and applied Mendelian randomization (MR) integrating genome-wide association studies (GWAS) and expression quantitative trait locus (eQTL) data to identify OC-associated genes. Cross-analysis revealed genes co-expressed with both disease-relevant and differentially expressed genes (DEGs), followed by pathway and functional enrichment investigations.

Results

Sixteen significant genes were identified, including XPR1, SPINT1, NFE2L3, FGFRL1, SLC24A4, CDC42EP3, PAPLN, GRAMD1B, TMEM71, MAP1A, CD36, ADRA2A, MYL9, PPBP, SIGLEC11 and CMTM5. These genes predominantly regulate tumor immune cell activity, with CIBERSORT analysis revealing distinct immune cell distribution patterns in OC.

Conclusions

Our findings provide novel insights into OC molecular mechanisms and highlight promising therapeutic targets, establishing a foundation for future research and clinical applications.
背景:卵巢癌(OC)仍然是最致命的妇科恶性肿瘤,主要是由于非特异性早期症状导致的晚期诊断。本研究旨在通过整合多组学数据集来确定新的遗传靶点并阐明驱动OC进展的潜在机制。方法综合分析基因表达综合数据库(Gene Expression Omnibus, GEO)中的OC数据集,应用孟德尔随机化(Mendelian randomization, MR)整合全基因组关联研究(GWAS)和表达数量性状位点(Expression quantitative trait locus, eQTL)数据,鉴定OC相关基因。交叉分析揭示了与疾病相关基因和差异表达基因(DEGs)共表达的基因,随后进行了途径和功能富集研究。结果共鉴定到16个重要基因,包括XPR1、SPINT1、NFE2L3、FGFRL1、SLC24A4、CDC42EP3、PAPLN、GRAMD1B、TMEM71、MAP1A、CD36、ADRA2A、MYL9、PPBP、SIGLEC11和CMTM5。这些基因主要调节肿瘤免疫细胞活性,CIBERSORT分析揭示了OC中不同的免疫细胞分布模式。结论本研究结果为进一步了解OC的分子机制提供了新的思路,并为今后的研究和临床应用奠定了基础。
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引用次数: 0
Life sciences and bias. 生命科学与偏见。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2026-02-19 DOI: 10.1016/j.slast.2026.100405
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引用次数: 0
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