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……单根细胞中可变多聚腺苷酸化的动态变化

Dynamics of alternative polyadenylation in single root cells of .

作者信息

Bi Xingyu, Zhu Sheng, Liu Fei, Wu Xiaohui

机构信息

Cancer Institute, Suzhou Medical College, Soochow University, Suzhou, China.

Operational Technology Research and Evaluation Center, China Nuclear Power Operation Technology Corporation, Ltd, Wuhan, China.

出版信息

Front Plant Sci. 2024 Sep 20;15:1437118. doi: 10.3389/fpls.2024.1437118. eCollection 2024.

Abstract

INTRODUCTION

Single-cell RNA-seq (scRNA-seq) technologies have been widely used to reveal the diversity and complexity of cells, and pioneering studies on scRNA-seq in plants began to emerge since 2019. However, existing studies on plants utilized scRNA-seq focused only on the gene expression regulation. As an essential post-transcriptional mechanism for regulating gene expression, alternative polyadenylation (APA) generates diverse mRNA isoforms with distinct 3' ends through the selective use of different polyadenylation sites in a gene. APA plays important roles in regulating multiple developmental processes in plants, such as flowering time and stress response.

METHODS

In this study, we developed a pipeline to identify and integrate APA sites from different scRNA-seq data and analyze APA dynamics in single cells. First, high-confidence poly(A) sites in single root cells were identified and quantified. Second, three kinds of APA markers were identified for exploring APA dynamics in single cells, including differentially expressed poly(A) sites based on APA site expression, APA markers based on APA usages, and APA switching genes based on 3' UTR (untranslated region) length change. Moreover, cell type annotations of single root cells were refined by integrating both the APA information and the gene expression profile.

RESULTS

We comprehensively compiled a single-cell APA atlas from five scRNA-seq studies, covering over 150,000 cells spanning four major tissue branches, twelve cell types, and three developmental stages. Moreover, we quantified the dynamic APA usages in single cells and identified APA markers across tissues and cell types. Further, we integrated complementary information of gene expression and APA profiles to annotate cell types and reveal subtle differences between cell types.

DISCUSSION

This study reveals that APA provides an additional layer of information for determining cell identity and provides a landscape of APA dynamics during Arabidopsis root development.

摘要

引言

单细胞RNA测序(scRNA-seq)技术已被广泛用于揭示细胞的多样性和复杂性,自2019年以来,关于植物scRNA-seq的开创性研究开始出现。然而,现有的关于植物的scRNA-seq研究仅关注基因表达调控。可变多聚腺苷酸化(APA)作为一种调节基因表达的重要转录后机制,通过在基因中选择性使用不同的多聚腺苷酸化位点,产生具有不同3'末端的多种mRNA异构体。APA在调节植物的多个发育过程中发挥重要作用,如开花时间和应激反应。

方法

在本研究中,我们开发了一个流程,用于从不同的scRNA-seq数据中识别和整合APA位点,并分析单细胞中的APA动态。首先,识别并定量单根细胞中的高置信度多聚(A)位点。其次,确定了三种用于探索单细胞中APA动态的APA标记,包括基于APA位点表达的差异表达多聚(A)位点、基于APA使用情况的APA标记以及基于3'非翻译区(UTR)长度变化的APA转换基因。此外,通过整合APA信息和基因表达谱,对单根细胞的细胞类型注释进行了细化。

结果

我们综合了五项scRNA-seq研究中的单细胞APA图谱,涵盖了超过150,000个细胞,跨越四个主要组织分支、十二种细胞类型和三个发育阶段。此外,我们定量了单细胞中的动态APA使用情况,并确定了跨组织和细胞类型的APA标记。进一步地,我们整合了基因表达和APA谱的互补信息来注释细胞类型,并揭示细胞类型之间的细微差异。

讨论

本研究表明,APA为确定细胞身份提供了额外的信息层,并提供了拟南芥根发育过程中APA动态的全景图。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/714b/11449893/253d0925f9af/fpls-15-1437118-g001.jpg

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