Integration of transcriptome and proteome profiles in glioblastoma: looking for the missing link

IF 2.946 Q3 Biochemistry, Genetics and Molecular Biology BMC Molecular Biology Pub Date : 2018-11-21 DOI:10.1186/s12867-018-0115-6
Jean-Michel Lemée, Anne Clavreul, Marc Aubry, Emmanuelle Com, Marie de Tayrac, Jean Mosser, Philippe Menei
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引用次数: 24

Abstract

Glioblastoma (GB) is the most common and aggressive tumor of the brain. Genotype-based approaches and independent analyses of the transcriptome or the proteome have led to progress in understanding the underlying biology of GB. Joint transcriptome and proteome profiling may reveal new biological insights, and identify pathogenic mechanisms or therapeutic targets for GB therapy. We present a comparison of transcriptome and proteome data from five GB biopsies (TZ) vs their corresponding peritumoral brain zone (PBZ). Omic analyses were performed using RNA microarray chips and the isotope-coded protein label method (ICPL).

As described in other cancers, we found a poor correlation between transcriptome and proteome data in GB. We observed only two commonly deregulated mRNAs/proteins (neurofilament light polypeptide and synapsin 1) and 12 altered biological processes; they are related to cell communication, synaptic transmission and nervous system processes. This poor correlation may be a consequence of the techniques used to produce the omic profiles, the intrinsic properties of mRNA and proteins and/or of cancer- or GB-specific phenomena. Of interest, the analysis of the transcription factor binding sites present upstream from the open reading frames of all altered proteins identified by ICPL method shows a common binding site for the topoisomerase I and p53-binding protein TOPORS. Its expression was observed in 7/11 TZ samples and not in PBZ. Some findings suggest that TOPORS may function as a tumor suppressor; its implication in gliomagenesis should be examined in future studies.

In this study, we showed a low correlation between transcriptome and proteome data for GB samples as described in other cancer tissues. We observed that NEFL, SYN1 and 12 biological processes were deregulated in both the transcriptome and proteome data. It will be important to analyze more specifically these processes and these two proteins to allow the identification of new theranostic markers or potential therapeutic targets for GB.

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胶质母细胞瘤中转录组和蛋白质组谱的整合:寻找缺失的环节
胶质母细胞瘤(GB)是最常见和侵袭性的脑部肿瘤。基于基因型的方法和转录组或蛋白质组的独立分析导致了对GB潜在生物学的理解的进展。联合转录组和蛋白质组分析可能揭示新的生物学见解,并确定GB治疗的致病机制或治疗靶点。我们比较了5个GB活组织检查(TZ)和相应的肿瘤周围脑区(PBZ)的转录组和蛋白质组数据。组学分析采用RNA微阵列芯片和同位素编码蛋白标记法(ICPL)进行。正如在其他癌症中所描述的那样,我们发现GB中转录组和蛋白质组数据之间的相关性很差。我们只观察到两种常见的失调mrna /蛋白(神经丝光多肽和突触蛋白1)和12个改变的生物过程;它们与细胞通讯、突触传递和神经系统过程有关。这种低相关性可能是用于产生组谱、mRNA和蛋白质的内在特性和/或癌症或gb特异性现象的技术的结果。有趣的是,通过ICPL方法鉴定的所有改变蛋白的开放阅读框上游转录因子结合位点的分析显示,拓扑异构酶I和p53结合蛋白TOPORS有一个共同的结合位点。在7/11 TZ样品中观察到其表达,而在PBZ中没有。一些研究结果表明,TOPORS可能具有肿瘤抑制作用;其在胶质瘤发生中的意义有待于进一步研究。在这项研究中,我们显示了在其他癌症组织中描述的GB样本的转录组和蛋白质组数据之间的低相关性。我们在转录组和蛋白质组数据中观察到NEFL、SYN1和12生物学过程被解除调控。更具体地分析这些过程和这两种蛋白将有助于确定新的治疗标记物或潜在的治疗靶点。
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
BMC Molecular Biology
BMC Molecular Biology 生物-生化与分子生物学
CiteScore
4.80
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: BMC Molecular Biology is an open access journal publishing original peer-reviewed research articles in all aspects of DNA and RNA in a cellular context, encompassing investigations of chromatin, replication, recombination, mutation, repair, transcription, translation and RNA processing and function.
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