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通过纳米孔测序分析浆细胞性乳腺炎的全长转录组。

Profiling the full-length transcriptome of plasma cell mastitis via nanopore sequencing.

作者信息

Li Su, Chen Hongyue, Fan Yan, Wang Can, An Lijing, Xu Qifeng, Cai Wenming, Zhao Suzhen, Tian Tian, Zhang Baoyong, Yang Mengmeng, Zhang Lulu

机构信息

Department of Thyroid and Breast Disease, Henan Provincial Hospital of Traditional Chinese Medicine, No.6 Dongfeng Road, Jinshui District, Zhengzhou, 450002, Henan Province, China.

出版信息

BMC Genom Data. 2025 Apr 16;26(1):29. doi: 10.1186/s12863-025-01312-7.

Abstract

INTRODUCTION

In this study, we aimed to determine the transcriptomic profile of plasma cell mastitis (PCM) and elucidate its underlying mechanisms using nanopore sequencing technology (ONT).

METHODS AND RESULTS

Through comparisons and analyses of redundantly removed transcripts with known reference genome annotations, we identified 39,408 novel transcripts and 20,980 genes. By exploring full-length transcriptome data, we characterized selective splicing, selective polyadenylation events, and simple sequence repeat (SSR) site information, which enhanced our understanding of genome annotation and gene structure in plasma cell mastitis. Additionally, we investigated predicted transcription factors and LncRNAs, screening those with differences for further investigations. The GO and KEGG enrichment analysis of differentially expressed genes (DEGs) and differentially expressed transcripts (DETs) revealed subtle distinctions between them, with primary enrichments being in immune response and intercellular interactions. Our protein-protein interaction (PPI) analysis of hub proteins from DETs indicated up-regulated genes' involvement in immune response and down-regulated genes' role in cell adhesion. Furthermore, we assessed immune cell infiltration in plasma cell mastitis, observing various immune cells, such as B cells, T cells, and DC cells.

CONCLUSION

These preliminary findings offer novel insights into the pathogenesis of plasma cell mastitis and present promising ideas for optimizing personalized treatment approaches, warranting further exploration and follow-up studies.

摘要

引言

在本研究中,我们旨在确定浆细胞性乳腺炎(PCM)的转录组图谱,并使用纳米孔测序技术(ONT)阐明其潜在机制。

方法与结果

通过将去除冗余后的转录本与已知参考基因组注释进行比较和分析,我们鉴定出39408个新转录本和20980个基因。通过探索全长转录组数据,我们对选择性剪接、选择性多聚腺苷酸化事件和简单序列重复(SSR)位点信息进行了表征,这增强了我们对浆细胞性乳腺炎基因组注释和基因结构的理解。此外,我们研究了预测的转录因子和长链非编码RNA(LncRNAs),筛选出有差异的进行进一步研究。对差异表达基因(DEGs)和差异表达转录本(DETs)的GO和KEGG富集分析揭示了它们之间的细微差异,主要富集在免疫反应和细胞间相互作用方面。我们对来自DETs的枢纽蛋白进行的蛋白质-蛋白质相互作用(PPI)分析表明,上调基因参与免疫反应,下调基因在细胞黏附中起作用。此外,我们评估了浆细胞性乳腺炎中的免疫细胞浸润情况,观察到了各种免疫细胞,如B细胞、T细胞和树突状细胞(DC细胞)。

结论

这些初步发现为浆细胞性乳腺炎的发病机制提供了新的见解,并为优化个性化治疗方法提出了有前景的思路,值得进一步探索和后续研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d2f5/12001594/d174a11f8903/12863_2025_1312_Fig1_HTML.jpg

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