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使用3D网络对姜黄素在乳腺癌组蛋白特征上的表观遗传学分析

Epigenetic Profiling of Curcumin on Histone Signatures in Breast Cancer using 3D Network.

作者信息

Tang Tina, Berezin Mikhail Y, Garcia Benjamin A, Mollah Shamim A

机构信息

Institute for Informatics and Data Science, Washington University School of Medicine in St. Louis, MO 63110, USA.

Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, MO 63110, USA.

出版信息

bioRxiv. 2025 May 7:2024.11.13.623008. doi: 10.1101/2024.11.13.623008.

Abstract

Aberrant epigenetic alterations are implicated in the transformation of normal cells into cancerous ones. Unlike genetic mutations, these dysregulations can be reversible and are potential targets for anticancer drugs. Curcumin, a natural plant-derived compound, has been shown to have anticancer effects and neuroprotective properties via its influence on epigenetic regulation. However, the precise nature of these epigenetic changes and the mechanisms driving them remain largely unexplored. Moreover, there is strong evidence linking the neuroactive properties of chemotherapy drugs in the treatment of breast cancer to chemotherapy-induced peripheral neuropathy (CIPN). Therefore, studying epigenetic regulation of neuroactive compounds in breast cancer is significant in also understanding their mechanisms mediating neuropathy in breast cancer. This study aims to apply a 3D network model to profile the histone codes modified by curcumin as a neuroactive compound and to hypothesize the enzymatic pathways driving these modifications in breast cancer. Using multi-omic data from the NIH LINCS program, we identified two novel histone codes associated with curcumin, mediated through 23 phosphoproteins involved in cell signaling. These signatures were linked to genes expressed in the dorsal root ganglion (DRG), which are characterized in this study. Together, the histone and phosphoprotein profiles represent potential biomarkers for the development of chromatin-targeted therapies in breast cancer, as well as new strategies for managing neuropathy in breast cancer patients. Source code is available at https://github.com/smollahlab/ECHC.

摘要

异常的表观遗传改变与正常细胞向癌细胞的转变有关。与基因突变不同,这些失调是可逆的,并且是抗癌药物的潜在靶点。姜黄素是一种天然的植物衍生化合物,已被证明通过其对表观遗传调控的影响而具有抗癌作用和神经保护特性。然而,这些表观遗传变化的确切性质及其驱动机制在很大程度上仍未被探索。此外,有强有力的证据表明化疗药物在乳腺癌治疗中的神经活性特性与化疗引起的周围神经病变(CIPN)有关。因此,研究乳腺癌中神经活性化合物的表观遗传调控对于理解它们介导乳腺癌神经病变的机制也具有重要意义。本研究旨在应用三维网络模型来描绘姜黄素作为神经活性化合物修饰的组蛋白编码,并推测驱动乳腺癌中这些修饰的酶促途径。利用来自美国国立卫生研究院(NIH)LINCS项目的多组学数据,我们鉴定出了两种与姜黄素相关的新型组蛋白编码,它们是由参与细胞信号传导的23种磷酸化蛋白介导的。这些特征与背根神经节(DRG)中表达的基因相关,本研究对这些基因进行了表征。总之,组蛋白和磷酸化蛋白谱代表了乳腺癌中基于染色质靶向治疗开发的潜在生物标志物,以及管理乳腺癌患者神经病变的新策略。源代码可在https://github.com/smollahlab/ECHC获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3749/12247981/8fc3a0cd9866/nihpp-2024.11.13.623008v2-f0001.jpg

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