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在双末端二标签转录组中观察到的小鼠黑色素瘤细胞的信号通路异常。

Pathway aberrations of murine melanoma cells observed in Paired-End diTag transcriptomes.

作者信息

Chiu Kuo Ping, Ariyaratne Pramila, Xu Han, Tan Adrian, Ng Patrick, Liu Edison Tak-Bun, Ruan Yijun, Wei Chia-Lin, Sung Wing-Kin Ken

机构信息

Genome Institute of Singapore, Genome #02-01, Singapore.

出版信息

BMC Cancer. 2007 Jun 26;7:109. doi: 10.1186/1471-2407-7-109.

DOI:10.1186/1471-2407-7-109
PMID:17594473
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1929113/
Abstract

BACKGROUND

Melanoma is the major cause of skin cancer deaths and melanoma incidence doubles every 10 to 20 years. However, little is known about melanoma pathway aberrations. Here we applied the robust Gene Identification Signature Paired End diTag (GIS-PET) approach to investigate the melanoma transcriptome and characterize the global pathway aberrations.

METHODS

GIS-PET technology directly links 5' mRNA signatures with their corresponding 3' signatures to generate, and then concatenate, PETs for efficient sequencing. We annotated PETs to pathways of KEGG database and compared the murine B16F1 melanoma transcriptome with three non-melanoma murine transcriptomes (Melan-a2 melanocytes, E14 embryonic stem cells, and E17.5 embryo). Gene expression levels as represented by PET counts were compared across melanoma and melanocyte libraries to identify the most significantly altered pathways and investigate the expression levels of crucial cancer genes.

RESULTS

Melanin biosynthesis genes were solely expressed in the cells of melanocytic origin, indicating the feasibility of using the PET approach for transcriptome comparison. The most significantly altered pathways were metabolic pathways, including upregulated pathways: purine metabolism, aminophosphonate metabolism, tyrosine metabolism, selenoamino acid metabolism, galactose utilization, nitrobenzene degradation, and bisphenol A degradation; and downregulated pathways: oxidative phosphorylation, ATPase synthesis, TCA cycle, pyruvate metabolism, and glutathione metabolism. The downregulated pathways concurrently indicated a slowdown of mitochondrial activities. Mitochondrial permeability was also significantly altered, as indicated by transcriptional activation of ATP/ADP, citrate/malate, Mg++, fatty acid and amino acid transporters, and transcriptional repression of zinc and metal ion transporters. Upregulation of cell cycle progression, MAPK, and PI3K/Akt pathways were more limited to certain region(s) of the pathway. Expression levels of c-Myc and Trp53 were also higher in melanoma. Moreover, transcriptional variants resulted from alternative transcription start sites or alternative polyadenylation sites were found in Ras and genes encoding adhesion or cytoskeleton proteins such as integrin, beta-catenin, alpha-catenin, and actin.

CONCLUSION

The highly correlated results unmistakably point to a systematic downregulation of mitochondrial activities, which we hypothesize aims to downgrade the mitochondria-mediated apoptosis and the dependency of cancer cells on angiogenesis. Our results also demonstrate the advantage of using the PET approach in conjunction with KEGG database for systematic pathway analysis.

摘要

背景

黑色素瘤是皮肤癌死亡的主要原因,其发病率每10至20年就会翻一番。然而,对于黑色素瘤通路异常情况却知之甚少。在此,我们应用强大的基因识别签名配对末端双标签(GIS-PET)方法来研究黑色素瘤转录组,并表征整体通路异常情况。

方法

GIS-PET技术直接将5' mRNA签名与其相应的3'签名相连接,以生成并随后串联双标签(PET)用于高效测序。我们将PET注释到KEGG数据库的通路中,并将小鼠B16F1黑色素瘤转录组与三种非黑色素瘤小鼠转录组(Melan-a2黑色素细胞、E14胚胎干细胞和E17.5胚胎)进行比较。通过PET计数表示的基因表达水平在黑色素瘤文库和黑色素细胞文库之间进行比较,以识别最显著改变的通路,并研究关键癌症基因的表达水平。

结果

黑色素生物合成基因仅在黑素细胞来源的细胞中表达,这表明使用PET方法进行转录组比较的可行性。最显著改变的通路是代谢通路,包括上调的通路:嘌呤代谢、氨基膦酸盐代谢、酪氨酸代谢、硒氨基酸代谢、半乳糖利用、硝基苯降解和双酚A降解;以及下调的通路:氧化磷酸化、ATP酶合成、三羧酸循环、丙酮酸代谢和谷胱甘肽代谢。下调的通路同时表明线粒体活动减缓。线粒体通透性也有显著改变,这可通过ATP/ADP、柠檬酸/苹果酸、Mg++、脂肪酸和氨基酸转运蛋白的转录激活以及锌和金属离子转运蛋白的转录抑制来表明。细胞周期进程、MAPK和PI3K/Akt通路的上调更多地局限于通路的某些区域。c-Myc和Trp53在黑色素瘤中的表达水平也更高。此外,在Ras以及编码黏附或细胞骨架蛋白(如整合素、β-连环蛋白、α-连环蛋白和肌动蛋白) 的基因中发现了由可变转录起始位点或可变聚腺苷酸化位点导致的转录变体。

结论

高度相关的结果明确指向线粒体活动的系统性下调,我们推测这旨在降低线粒体介导的细胞凋亡以及癌细胞对血管生成的依赖性。我们的结果还证明了将PET方法与KEGG数据库结合用于系统性通路分析的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8046/1929113/0af8e2806bb9/1471-2407-7-109-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8046/1929113/6af56d788a94/1471-2407-7-109-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8046/1929113/efe7d98e8f03/1471-2407-7-109-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8046/1929113/5138bf7c1d83/1471-2407-7-109-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8046/1929113/4bdd404f3959/1471-2407-7-109-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8046/1929113/f8a2a346b687/1471-2407-7-109-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8046/1929113/0af8e2806bb9/1471-2407-7-109-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8046/1929113/6af56d788a94/1471-2407-7-109-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8046/1929113/efe7d98e8f03/1471-2407-7-109-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8046/1929113/5138bf7c1d83/1471-2407-7-109-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8046/1929113/4bdd404f3959/1471-2407-7-109-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8046/1929113/f8a2a346b687/1471-2407-7-109-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8046/1929113/0af8e2806bb9/1471-2407-7-109-6.jpg

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