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DNA和RNA测序概括了肝癌细胞系中的异常肿瘤代谢。

DNA and RNA Sequencing Recapitulated Aberrant Tumor Metabolism in Liver Cancer Cell Lines.

作者信息

Sun Yihong, Tang Xia, Ye Bo, Ding Keyue

机构信息

Department of Bioinformatics, School of Basic Medicine, Chongqing Medical University, Chongqing, 410006, People's Republic of China.

Medical Genetic Institute of Henan Province, Henan Provincial People's Hospital, Henan Key Laboratory of Genetic Diseases and Functional Genomics, National Health Commission Key Laboratory of Birth Defect Prevention, Henan Provincial People's Hospital of Henan University, People's Hospital of Zhengzhou University, Zhengzhou, Henan Province, 450003, People's Republic of China.

出版信息

J Hepatocell Carcinoma. 2021 Jul 27;8:823-836. doi: 10.2147/JHC.S318724. eCollection 2021.

DOI:10.2147/JHC.S318724
PMID:34350138
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8327295/
Abstract

AIM

Metabolic reprogramming has recently attracted extensive attention for understanding cancer development. We aimed to demonstrate a genomic and transcriptomic landscape of metabolic reprogramming underlying liver cancer cell lines.

METHODS

We investigated metabolic aberrant at both the transcriptome and genome levels using transcriptome and whole-exome sequencing data from 12 human liver cancer cell lines (hLCCLs) and one normal liver cell line.

RESULTS

Three subgroups of hLCCLs characterized from transcriptome sequencing data exhibit significantly different aberrations in various metabolic processes, including amino acid, lipid, energy, and carbohydrate metabolism. Furthermore, whole-exome sequencing revealed distinct mutational signatures among different subgroups of hLCCLs and identified a total of 19 known driver genes implicated in metabolism.

CONCLUSION

Our findings highlighted differential metabolic mechanisms in the development of liver cancer and provided a resource for further investigating its metabolic mechanisms.

摘要

目的

代谢重编程最近在理解癌症发展方面引起了广泛关注。我们旨在展示肝癌细胞系中代谢重编程的基因组和转录组图谱。

方法

我们使用来自12个人类肝癌细胞系（hLCCLs）和一个正常肝细胞系的转录组和全外显子测序数据，在转录组和基因组水平上研究代谢异常。

结果

从转录组测序数据中鉴定出的hLCCLs的三个亚组在各种代谢过程中表现出显著不同的异常，包括氨基酸、脂质、能量和碳水化合物代谢。此外，全外显子测序揭示了hLCCLs不同亚组之间独特的突变特征，并鉴定出总共19个与代谢相关的已知驱动基因。

结论

我们的发现突出了肝癌发展过程中不同的代谢机制，并为进一步研究其代谢机制提供了资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7910/8327295/31971ca7db78/JHC-8-823-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7910/8327295/05e9f802c1ec/JHC-8-823-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7910/8327295/bffe9f7f0151/JHC-8-823-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7910/8327295/791a09ec07bb/JHC-8-823-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7910/8327295/2b27f3789b86/JHC-8-823-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7910/8327295/2dee026f306d/JHC-8-823-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7910/8327295/31971ca7db78/JHC-8-823-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7910/8327295/05e9f802c1ec/JHC-8-823-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7910/8327295/bffe9f7f0151/JHC-8-823-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7910/8327295/791a09ec07bb/JHC-8-823-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7910/8327295/2b27f3789b86/JHC-8-823-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7910/8327295/2dee026f306d/JHC-8-823-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7910/8327295/31971ca7db78/JHC-8-823-g0006.jpg

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