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基于骨髓增生异常综合征中mRNA表达、基因甲基化及长链非编码RNA(lncRNA)表达综合分析的整合调控网络

An Integrated Regulatory Network Based on Comprehensive Analysis of mRNA Expression, Gene Methylation and Expression of Long Non-coding RNAs (lncRNAs) in Myelodysplastic Syndromes.

作者信息

Zhao Xiaoli, Yin Hua, Li Nianyi, Zhu Yu, Shen Wenyi, Qian Sixuan, He Guangsheng, Li Jianyong, Wang Xiaoqin

机构信息

Key Laboratory of Hematology, Department of Hematology, Collaborative Innovation Center for Cancer Personalized Medicine, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing Medical University, Nanjing, China.

Department of Haematology, Huashan Hospital, Fudan University, Shanghai, China.

出版信息

Front Oncol. 2019 Mar 29;9:200. doi: 10.3389/fonc.2019.00200. eCollection 2019.

DOI:10.3389/fonc.2019.00200
PMID:30984623
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6450213/
Abstract

Myelodysplastic syndromes (MDS) are a heterogeneous group of disorders characterized by ineffective hematopoiesis, defective differentiation of hematopoietic precursors, and expansion of the abnormal clones. The prevalence of MDS has raised great concerns worldwide, but its pathogenetic mechanisms remain elusive. To provide insights on novel biomarkers for the diagnosis and therapy of MDS, we performed high-throughput genome-wide mRNA expression profiling, DNA methylation analysis, and long non-coding RNAs (lncRNA) analysis on bone marrows from four MDS patients and four age-matched healthy controls. We identified 1,937 differentially expressed genes (DEGs), 515 methylated genes, and 214 lncRNA that showed statistically significant differences. As the most significant module-related DEGs, TCL1A, PTGS2, and MME were revealed to be enriched in regulation of cell differentiation and cell death pathways. In addition, the GeneGo pathway maps identified by top DEGs were shown to converge on cancer, immunoregulation, apoptosis and regulation of actin cytoskeleton, most of which are known contributors in MDS etiology and pathogenesis. Notably, as potential biomarkers for diagnosis of MDS, four specific genes (ABAT, FADD, DAPP1, and SMPD3) were further subjected to detailed pathway analysis. Our integrative analysis on mRNA expression, gene methylation and lncRNAs profiling facilitates further understanding of the pathogenesis of MDS, and may promote the diagnosis and novel therapeutics for this disease.

摘要

骨髓增生异常综合征(MDS)是一组异质性疾病,其特征为造血无效、造血前体细胞分化缺陷以及异常克隆的扩增。MDS的患病率已引起全球广泛关注,但其发病机制仍不清楚。为了深入了解MDS诊断和治疗的新型生物标志物,我们对4例MDS患者和4例年龄匹配的健康对照的骨髓进行了高通量全基因组mRNA表达谱分析、DNA甲基化分析和长链非编码RNA(lncRNA)分析。我们鉴定出1937个差异表达基因(DEG)、515个甲基化基因和214个lncRNA,它们显示出统计学上的显著差异。作为与模块最相关的DEG,TCL1A、PTGS2和MME被发现富集于细胞分化和细胞死亡途径的调控中。此外,由顶级DEG鉴定出的GeneGo通路图谱显示汇聚于癌症、免疫调节、细胞凋亡和肌动蛋白细胞骨架调控,其中大多数是MDS病因和发病机制中已知的因素。值得注意的是,作为MDS诊断的潜在生物标志物,四个特定基因(ABAT、FADD、DAPP1和SMPD3)进一步进行了详细的通路分析。我们对mRNA表达、基因甲基化和lncRNA谱的综合分析有助于进一步了解MDS的发病机制,并可能促进该疾病的诊断和新型治疗方法的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cd/6450213/2da9214501ef/fonc-09-00200-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cd/6450213/839ed6c10764/fonc-09-00200-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cd/6450213/07b23f787b01/fonc-09-00200-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cd/6450213/585bc471f177/fonc-09-00200-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cd/6450213/e3749b5adb94/fonc-09-00200-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cd/6450213/2da9214501ef/fonc-09-00200-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cd/6450213/839ed6c10764/fonc-09-00200-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cd/6450213/07b23f787b01/fonc-09-00200-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cd/6450213/585bc471f177/fonc-09-00200-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cd/6450213/e3749b5adb94/fonc-09-00200-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90cd/6450213/2da9214501ef/fonc-09-00200-g0005.jpg

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1
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2
Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus.食管腺癌和巴雷特食管中的生物标志物鉴定和反式调控网络分析。
World J Gastroenterol. 2019 Jan 14;25(2):233-244. doi: 10.3748/wjg.v25.i2.233.
3
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4
FADD as a key molecular player in cancer progression.FADD 作为癌症进展中的关键分子参与者。
Mol Med. 2022 Nov 8;28(1):132. doi: 10.1186/s10020-022-00560-y.
5
Roles of circRNAs in hematological malignancies.环状RNA在血液系统恶性肿瘤中的作用。
Biomark Res. 2022 Jul 15;10(1):50. doi: 10.1186/s40364-022-00392-2.
6
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