Global Gene Expression Regulation Mediated by TGFβ Through H3K9me3 Mark.

IF 2.5 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Cancer Informatics Pub Date : 2022-07-30 eCollection Date: 2022-01-01 DOI:10.1177/11769351221115135
Ankit Naik, Nidhi Dalpatraj, Noopur Thakur
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引用次数: 1

Abstract

Background: Epigenetic alterations play an important part in carcinogenesis. Different biological responses, including cell proliferation, migration, apoptosis, invasion, and senescence, are affected by epigenetic alterations in cancer. In addition, growth factors, such as transforming growth factor beta (TGFβ) are important regulators of tumorigenesis. Our understanding of the interplay between the epigenetic bases of tumorigenesis and growth factor signaling in tumorigenesis is rudimentary. Some studies suggest a link between TGFβ signaling and the heterochromatinizing histone mark H3K9me3. There is evidence for signal-dependent interactions between R-Smads and histone methyltransferases. However, the effects of TGFβ signaling on genome wide H3K9me3 landscape remains unknown. Our research examines TGFβ -induced genome-wide H3K9me3 in prostate cancer.

Method: Chromatin-Immunoprecipitation followed by sequencing was performed to analyze genome-wide association of H3K9me3 epigenetic mark. DAVID Functional annotation tool was utilized to understand the involvement of different Biological Processes and Molecular Function. MEME-ChIP tool was also used to analyze known and novel DNA-binding motifs.

Results: H3K9me3 occupancy appears to increase at intronic regions after short-term (6 hours) TGFβ stimulation and at distal intergenic regions during long-term stimulation (24 hours). We also found evidence for a possible association of SLC transporters with H3K9me3 mark in presence of TGFβ during tumorigenesis. No direct correlation was found between the occupancy of H3K9me3 mark and the expression of various genes. The epigenetic mechanisms-mediated regulation of gene expression by TGFβ was concentrated at promoters rich in SRY and FOXJ3 binding sites.

Conclusion: Our results point toward a positive association of oncogenic function of TGFβ and the H3K9me3 mark and provide a context to the role of H3K9me3 in TGFβ-induced cell migration and cell adhesion. Interestingly, these functions of TGFβ through H3K9me3 mark regulation seem to depend on transcriptional activation in contrast to the conventionally known repressive nature of H3K9me3.

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TGFβ通过H3K9me3标记介导的全球基因表达调控
背景:表观遗传改变在癌变过程中起重要作用。不同的生物反应,包括细胞增殖、迁移、凋亡、侵袭和衰老,都受到癌症表观遗传改变的影响。此外,生长因子,如转化生长因子β (TGFβ)是肿瘤发生的重要调节因子。我们对肿瘤发生的表观遗传基础和肿瘤发生中的生长因子信号传导之间的相互作用的理解是初步的。一些研究表明tgf - β信号与异染色化组蛋白标记H3K9me3之间存在联系。有证据表明R-Smads和组蛋白甲基转移酶之间存在信号依赖的相互作用。然而,TGFβ信号传导对全基因组H3K9me3的影响尚不清楚。我们的研究检测了TGFβ在前列腺癌中诱导的全基因组H3K9me3。方法:采用染色质免疫沉淀法分析H3K9me3表观遗传标记的全基因组关联。使用DAVID功能注释工具来了解不同生物过程和分子功能的参与。MEME-ChIP工具还用于分析已知和新的dna结合基序。结果:短期(6小时)刺激TGFβ后,内含子区H3K9me3占用率增加,长期刺激(24小时)时,远端基因间区H3K9me3占用率增加。我们还发现,在肿瘤发生过程中,TGFβ存在时,SLC转运蛋白与H3K9me3标记可能存在关联。H3K9me3标记的占用与各种基因的表达没有直接的相关性。TGFβ通过表观遗传机制介导的基因表达调控主要集中在富含SRY和FOXJ3结合位点的启动子上。结论:我们的研究结果表明TGFβ和H3K9me3标记的致癌功能呈正相关,并为H3K9me3在TGFβ诱导的细胞迁移和细胞粘附中的作用提供了背景。有趣的是,TGFβ通过H3K9me3标记调节的这些功能似乎依赖于转录激活,而不是传统上已知的H3K9me3的抑制性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancer Informatics
Cancer Informatics Medicine-Oncology
CiteScore
3.00
自引率
5.00%
发文量
30
审稿时长
8 weeks
期刊介绍: The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
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