PTRF/cavin-1 and MIF proteins are identified as non-small cell lung cancer biomarkers by label-free proteomics.
PTRF/cavin-1 and MIF proteins are identified as non-small cell lung cancer biomarkers by label-free proteomics.
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DOI：
10.1371/journal.pone.0033752
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Fresno Vara JÁ
中科院分区：
文献类型：
--
作者：
Gámez-Pozo A;Sánchez-Navarro I;Calvo E;Agulló-Ortuño MT;López-Vacas R;Díaz E;Camafeita E;Nistal M;Madero R;Espinosa E;López JA;Fresno Vara JÁ
随着人类基因组测序的完成，生物医学科学进入了“组学”时代，这主要归功于高通量基因组学技术和最近质谱技术在蛋白质组学分析中的应用。然而，这些技术进步与其在临床环境中的应用之间仍然存在时间差。我们的工作旨在建立高性能蛋白质组学和临床常规之间的桥梁。从新鲜冷冻的正常肺和非小细胞肺癌样品获得蛋白质提取物。我们应用磷酸肽富集，然后进行LC-MS/MS。随后进行无标记定量和生物信息学分析。我们评估了这些样本的蛋白质模式，显示了正常组织和肿瘤组织之间的数十种差异标志物。基因本体和相互作用组分析确定了肿瘤组织上改变的信号通路。我们已经确定了两个蛋白质，PTRF/cavin-1和MIF，这是正常肺和非小细胞肺癌之间的差异表达。这些潜在的生物标志物进行了验证，使用蛋白质印迹和免疫组织化学。基于发现的蛋白质组学分析在临床样本中的应用使我们能够在非小细胞肺癌中识别新的潜在生物标志物和治疗靶点。
With the completion of the human genome sequence, biomedical sciences have entered in the “omics” era, mainly due to high-throughput genomics techniques and the recent application of mass spectrometry to proteomics analyses. However, there is still a time lag between these technological advances and their application in the clinical setting. Our work is designed to build bridges between high-performance proteomics and clinical routine. Protein extracts were obtained from fresh frozen normal lung and non-small cell lung cancer samples. We applied a phosphopeptide enrichment followed by LC-MS/MS. Subsequent label-free quantification and bioinformatics analyses were performed. We assessed protein patterns on these samples, showing dozens of differential markers between normal and tumor tissue. Gene ontology and interactome analyses identified signaling pathways altered on tumor tissue. We have identified two proteins, PTRF/cavin-1 and MIF, which are differentially expressed between normal lung and non-small cell lung cancer. These potential biomarkers were validated using western blot and immunohistochemistry. The application of discovery-based proteomics analyses in clinical samples allowed us to identify new potential biomarkers and therapeutic targets in non-small cell lung cancer.
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影响因子：
14.9
作者：
Jensen LJ;Kuhn M;Stark M;Chaffron S;Creevey C;Muller J;Doerks T;Julien P;Roth A;Simonovic M;Bork P;von Mering C
通讯作者：
von Mering C
影响因子：
2.8
作者：
Gould, M. L.;Williams, G.;Nicholson, H. D.
通讯作者：
Nicholson, H. D.
影响因子：
2
作者：
Aryal, Uma K.;Ross, Andrew R. S.
通讯作者：
Ross, Andrew R. S.
小凹必需成分 PTRF/Cavin-1 对细胞衰老的调节
影响因子：
44.1
作者：
Bai, Lin;Deng, Xiaoli;Cong, Yu-Sheng
通讯作者：
Cong, Yu-Sheng
影响因子：
48
作者：
Bodenmiller, Bernd;Mueller, Lukas N.;Aebersold, Ruedi
通讯作者：
Aebersold, Ruedi