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基于人类基因中六聚体子集的离散特征对六种受体剪接序列的差异分析

Difference Analysis Among Six Kinds of Acceptor Splicing Sequences by the Dispersion Features of 6-mer Subsets in Human Genes.

作者信息

Si Yangming, Li Hong, Li Xiaolong

机构信息

Inner Mongolia Autonomous Region Key Laboratory of Biophysics and Bioinformatics, School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China.

出版信息

Biology (Basel). 2025 Feb 15;14(2):206. doi: 10.3390/biology14020206.

DOI:10.3390/biology14020206
PMID:40001974
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11853274/
Abstract

Identifying the sequence composition of different splicing modes is a challenge in current research. This study explored the dispersion distributions of 6-mer subsets in human acceptor splicing regions. Without differentiating acceptor splicing modes, obvious differences were observed across the upstream, core, and downstream regions of splicing sites for 16 dispersion distributions. These findings indicate that the dispersion value of each subset can effectively characterize the compositional properties of splicing sequences. When acceptor splicing sequences were classified into common, constitutive, and alternative modes, the differences in dispersion distributions for most of the XY1 6-mer subsets were significant among the three splicing modes. Furthermore, the alternative splicing mode was classified into normal, exonic, and intronic sub-modes, the differences in dispersion distributions for most of the XY1 6-mer subsets were also significant among the three splicing sub-modes. Our results indicate that dispersion values of XY1 6-mer subsets not only revealed the sequence composition patterns of acceptor splicing regions but also effectively identified the differences in base correlation among various acceptor splicing modes. Our research provides new insights into revealing and predicting different splicing modes.

摘要

识别不同剪接模式的序列组成是当前研究中的一项挑战。本研究探讨了人类受体剪接区域中六聚体子集的离散分布。在不区分受体剪接模式的情况下,观察到16种离散分布在剪接位点的上游、核心和下游区域存在明显差异。这些发现表明,每个子集的离散值可以有效地表征剪接序列的组成特性。当受体剪接序列被分为常见、组成型和可变模式时,大多数XY1六聚体子集在三种剪接模式下的离散分布差异显著。此外,将可变剪接模式分为正常、外显子和内含子子模式,大多数XY1六聚体子集在三种剪接子模式下的离散分布差异也显著。我们的结果表明,XY1六聚体子集的离散值不仅揭示了受体剪接区域的序列组成模式,而且有效地识别了各种受体剪接模式之间碱基相关性的差异。我们的研究为揭示和预测不同的剪接模式提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/00908896d4c5/biology-14-00206-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/ada69a09390e/biology-14-00206-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/960666f3e854/biology-14-00206-g004.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/d15185cb23b4/biology-14-00206-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/1522fe298a0a/biology-14-00206-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/268ab29f162f/biology-14-00206-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/00908896d4c5/biology-14-00206-g010.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/92ef18092450/biology-14-00206-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/960666f3e854/biology-14-00206-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/19dfffb442cf/biology-14-00206-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/7108dd6f2ca5/biology-14-00206-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/d15185cb23b4/biology-14-00206-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/1522fe298a0a/biology-14-00206-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/268ab29f162f/biology-14-00206-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/199a/11853274/00908896d4c5/biology-14-00206-g010.jpg

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本文引用的文献

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A systematic assessment of the impact of rare canonical splice site variants on splicing using functional and in silico methods.使用功能和计算方法系统评估稀有经典剪接位点变异对剪接的影响。
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Genome-wide detection of human intronic AG-gain variants located between splicing branchpoints and canonical splice acceptor sites.全基因组检测位于剪接分支点和规范剪接受体位点之间的人类内含子 AG 获得变异。
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