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您的检索式：作者名="Congting Ye"
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| 1 | Determinants of public T cell responses显示文摘历史上,分享在个人之间的 T 房间受体(TCR ) 被推测了不可能,就在 TCR 全部剧目的潜在的极恶和在每个个人产生的 T 房间的有限数字之间的戏剧的差异而言。然而,公共 T 房间反应,多重个人在对一样的 antigenic epitope 作出回应在分享相同 TCR,广泛地越过许多种类在许多有免疫力的回答被观察了。公共 T 房间回答使在一张人口以内的个人能对某些无所不在的病原体产生类似的抗原特定的 TCR,导致有利生物结果。然而, TCR 全部剧目的相对集中的特征可以在一张人口限制 T 房间反应到一些另外的病原体。如果公共 T 房间回答能被操作,它能是为人的健康的一个大好处。因此,公共 TCR 产生的机械学的卓见是重要的知道。最近,定序的高产量的 DNA 革命化了有免疫力的受体全部剧目的学习,它允许在个人之中决定 TCR 全部剧目的重叠的因素的好一些的理解。这里,我们在公共 T 房间反应上总结当前的知识并且在这个领域里讨论未来挑战。 | Hanjie Li Congting Ye Guoli Ji Jiahuai Han | 2012 | Cell Research2012，22，1： | 1 |
| 2 | A Survey on Methods for Predicting Polyadenylation Sites from DNA Sequences,Bulk RNA-seq,and Single-cell RNA-seq显示文摘Alternative polyadenylation(APA)plays important roles in modulating mRNA stability,translation,and subcellular localization,and contributes extensively to shaping eukaryotic transcriptome complexity and proteome diversity.Identification of poly(A)sites(pAs)on a genomewide scale is a critical step toward understanding the underlying mechanism of APA-mediated gene regulation.A number of established computational tools have been proposed to predict pAs from diverse genomic data.Here we provided an exhaustive overview of computational approaches for predicting pAs from DNA sequences,bulk RNA sequencing(RNA-seq)data,and single-cell RNA sequencing(scRNA-seq)data.Particularly,we examined several representative tools using bulk RNA-seq and scRNA-seq data from peripheral blood mononuclear cells and put forward operable suggestions on how to assess the reliability of pAs predicted by different tools.We also proposed practical guidelines on choosing appropriate methods applicable to diverse scenarios.Moreover,we discussed in depth the challenges in improving the performance of pA prediction and benchmarking different methods.Additionally,we highlighted outstanding challenges and opportunities using new machine learning and integrative multi-omics techniques,and provided our perspective on how computational methodologies might evolve in the future for non-30 untranslated region,tissuespecific,cross-species,and single-cell pA prediction. | Wenbin Ye Qiwei Lian Congting Ye Xiaohui Wu | 2023 | Genomics, Proteomics & Bioinformatics2023，21，1： | 0 |
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