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Insights gained from single-cell analysis of chimeric antigen receptor T-cell immunotherapy in cancer
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作者 Lu Tang Zhong-Pei Huang +1 位作者 Heng Mei Yu Hu 《Military Medical Research》 SCIE CAS CSCD 2024年第5期717-746,共30页
Advances in chimeric antigen receptor(CAR)-T cell therapy have significantly improved clinical outcomes of patients with relapsed or refractory hematologic malignancies.However,progress is still hindered as clinical b... Advances in chimeric antigen receptor(CAR)-T cell therapy have significantly improved clinical outcomes of patients with relapsed or refractory hematologic malignancies.However,progress is still hindered as clinical benefit is only available for a fraction of patients.A lack of understanding of CAR-T cell behaviors in vivo at the single-cell level impedes their more extensive application in clinical practice.Mounting evidence suggests that single-cell sequencing techniques can help perfect the receptor design,guide gene-based T cell modification,and optimize the CAR-T manufacturing conditions,and all of them are essential for long-term immunosurveillance and more favorable clinical outcomes.The information generated by employing these methods also potentially informs our understanding of the numerous complex factors that dictate therapeutic efficacy and toxicities.In this review,we discuss the reasons why CAR-T immunotherapy fails in clinical practice and what this field has learned since the milestone of single-cell sequencing technologies.We further outline recent advances in the application of single-cell analyses in CAR-T immunotherapy.Specifically,we provide an overview of single-cell studies focusing on target antigens,CAR-transgene integration,and preclinical research and clinical applications,and then discuss how it will affect the future of CAR-T cell therapy. 展开更多
关键词 single-cell sequencing Cancer immunotherapy CAR-T therapy Cell heterogeneity trajectory inference Tumor microenvironment
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迭代式特征选择的单细胞分化轨迹推断算法
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作者 何鸿坚 殷依婷 谢江 《计算机科学与探索》 CSCD 北大核心 2023年第7期1609-1621,共13页
通过单细胞轨迹推断方法从单细胞转录组学数据或蛋白质组学数据构建细胞的分化轨迹,有助于理解正常组织的发育过程或者提供病理学相关的信息。然而当前的单细胞轨迹推断算法在精确度和鲁棒性的提升上仍然是一个难题,原因之一是在单细胞... 通过单细胞轨迹推断方法从单细胞转录组学数据或蛋白质组学数据构建细胞的分化轨迹,有助于理解正常组织的发育过程或者提供病理学相关的信息。然而当前的单细胞轨迹推断算法在精确度和鲁棒性的提升上仍然是一个难题,原因之一是在单细胞测序中检测到大量不相关的基因而产生噪声。针对这一问题,迭代式特征选择的轨迹推断方法iterTIPD被提出。其创新点体现在,将广泛用于筛选差异表达基因的特征选择方法迭代式地用于线性或分支结构的单细胞RNA测序数据上,通过筛选出对构建的分化轨迹贡献最大的基因子集来提高细胞伪时间排序的精确度和鲁棒性。在四种scRNA-seq数据集上的实验结果表明,iterTIPD可以有效地提高单细胞轨迹推断算法的精确度和鲁棒性。同样,iterTIPD也使其他的轨迹推断算法的性能得到提升,以此证明iterTIPD具有泛化性。iterTIPD算法成功重构了神经干细胞的分化轨迹,通过对比发现,该分化轨迹与已知的神经干细胞分化轨迹高度一致。同时发现Top2a和Gja1可能是定义活化的神经干细胞亚群的新的标志物。 展开更多
关键词 单细胞RNA测序技术 基因差异性表达 单细胞分化轨迹推断 迭代式特征选择 生物信息学
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基于差分隐私的轨迹隐私保护方法 被引量:4
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作者 袁水莲 皮德常 胥萌 《电子学报》 EI CAS CSCD 北大核心 2021年第7期1266-1273,共8页
针对现有的轨迹隐私保护模型大多难以抵御复杂背景知识攻击的问题,本文提出了一种基于差分隐私的轨迹隐私保护方法.首先结合地理不可区分机制对原始轨迹数据添加半径受限的拉普拉斯噪音;其次构造数据映射模型将原始数据和噪音数据映射... 针对现有的轨迹隐私保护模型大多难以抵御复杂背景知识攻击的问题,本文提出了一种基于差分隐私的轨迹隐私保护方法.首先结合地理不可区分机制对原始轨迹数据添加半径受限的拉普拉斯噪音;其次构造数据映射模型将原始数据和噪音数据映射到新的发布位置,使攻击者无法获取真实轨迹数据;接着应用最优数据映射函数发布最优的轨迹位置以提高发布数据的可用性;最后利用差分隐私抵御非敏感信息推理攻击,进一步保护用户隐私.实验结果表明,本文算法既能有效保护轨迹数据中用户的隐私,也能保证数据的可用性. 展开更多
关键词 轨迹数据 隐私保护 差分隐私 地理不可区分 背景知识攻击 推理攻击
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Single-cell RNA sequencing reveals a high-resolution cell atlas of xylem in Populus 被引量:8
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作者 Hui Li Xinren Dai +5 位作者 Xiong Huang Mengxuan Xu Qiao Wang Xiaojing Yan Ronald R.Sederoff Quanzi Li 《Journal of Integrative Plant Biology》 SCIE CAS CSCD 2021年第11期1906-1921,共16页
High-throughputsingle-cellRNAsequencing(sc RNA-seq) has advantages over traditional RNA-seq to explore spatiotemporal information on gene dynamic expressions in heterogenous tissues. We performed Drop-seq, a method fo... High-throughputsingle-cellRNAsequencing(sc RNA-seq) has advantages over traditional RNA-seq to explore spatiotemporal information on gene dynamic expressions in heterogenous tissues. We performed Drop-seq, a method for the dropwise sequestration of single cells for sequencing, on protoplasts from the differentiating xylem of Populus alba × Populus glandulosa. The sc RNA-seq profiled9,798 cells, which were grouped into 12 clusters.Through characterization of differentially expressed genes in each cluster and RNA in situ hybridizations,we identified vessel cells, fiber cells, ray parenchyma cells and xylem precursor cells. Diffusion pseudotime analyses revealed the differentiating trajectory of vessels, fiber cells and ray parenchyma cells and indicated a different differentiation process between vessels and fiber cells, and a similar differentiation process between fiber cells and ray parenchyma cells. We identified marker genes for each cell type(cluster) and key candidate regulators during developmental stages of xylem cell differentiation. Our study generates a high-resolution expression atlas of wood formation at the single cell level and provides valuable information on wood formation. 展开更多
关键词 differentiating trajectory differentiating xylem marker genes Populus alba×Populus glandulosa single-cell RNA-seq wood formation
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