Metabolic Diversity in Human Non-Small Cell Lung Cancer Cells

Metabolic Diversity in Human Non-Small Cell Lung Cancer Cells
复制标题

DOI:
10.1101/561688
复制
发表时间:
2015-10
期刊:
bioRxiv
影响因子:
--
通讯作者:
Pei-Hsuan Chen;L. Cai;K. Huffman;Chendong Yang;Jiyeon Kim;B. Faubert;Lindsey K. Boroughs;Bookyung Ko;J. Sudderth;E. McMillan;L. Girard;M. Peyton;M. Shields;D. Shames;Hyun Seok Kim;B. Timmons;I. Sekine;R. Britt;S. Weber;L. Byers;J. Heymach;M. White;J. Minna;Guanghua Xiao;R. Deberardinis
Pei-Hsuan Chen;L. Cai;K. Huffman;Chendong Yang;Jiyeon Kim;B. Faubert;Lindsey K. Boroughs;Bookyung Ko;J. Sudderth;E. McMillan;L. Girard;M. Peyton;M. Shields;D. Shames;Hyun Seok Kim;B. Timmons;I. Sekine;R. Britt;S. Weber;L. Byers;J. Heymach;M. White;J. Minna;Guanghua Xiao;R. Deberardinis
中科院分区:
其他
文献类型:
--
作者:
Pei-Hsuan Chen;L. Cai;K. Huffman;Chendong Yang;Jiyeon Kim;B. Faubert;Lindsey K. Boroughs;Bookyung Ko;J. Sudderth;E. McMillan;L. Girard;M. Peyton;M. Shields;D. Shames;Hyun Seok Kim;B. Timmons;I. Sekine;R. Britt;S. Weber;L. Byers;J. Heymach;M. White;J. Minna;Guanghua Xiao;R. Deberardinis

文献摘要

被引文献

相似文献

癌细胞中的中间代谢受多种细胞自主过程调节,包括信号转导和特定癌基因型和细胞谱系引起的基因表达模式。虽然代谢重编程是癌症的标志,但我们缺乏对癌细胞中代谢程序多样性的全面了解,也缺乏对代谢途径偏好与其他细胞自主过程之间关联的公正评估。在这里,我们量化了在相同条件下培养的80多个非小细胞肺癌(NSCLC)细胞系中的100多个代谢特征,主要来自中心碳代谢分子的13 C富集。由于这些细胞系被广泛注释为癌基因型、基因表达、蛋白质表达和治疗敏感性,因此所得到的数据库使用户能够揭示代谢和这些正交过程之间的新关系。
Intermediary metabolism in cancer cells is regulated by diverse cell-autonomous processes including signal transduction and gene expression patterns arising from specific oncogenotypes and cell lineages. Although it is well established that metabolic reprogramming is a hallmark of cancer, we lack a full view of the diversity of metabolic programs in cancer cells and an unbiased assessment of the associations between metabolic pathway preferences and other cell-autonomous processes. Here we quantified over 100 metabolic features, mostly from 13C enrichment of molecules from central carbon metabolism, in over 80 non-small cell lung cancer (NSCLC) cell lines cultured under identical conditions. Because these cell lines were extensively annotated for oncogenotype, gene expression, protein expression and therapeutic sensitivity, the resulting database enables the user to uncover new relationships between metabolism and these orthogonal processes.