Research press release


Nature Methods

Quantifying human tumour proteins

ヒトの腫瘍組織内のタンパク質を定量する方法が、Nature Methods(電子版)に発表される。この方法は、腫瘍生物学に新たな洞察をもたらす可能性がある。


今回M Mannたちは、SILAC法に工夫を加え、代謝標識することができない初代ヒト組織のタンパク質が定量されるようにした。腫瘍を含め、ヒト組織は、異なるレベルでタンパク質を発現するさまざまな種類の細胞から成り立っている。特定の腫瘍に存在する各種の細胞およびタンパク質を分析するため、研究チームは、複数の異なる不死化ヒトがん細胞株の混合物を重いアミノ酸で標識した。この混合物が、腫瘍組織プロテオームの質量分析法による定量で、内部標準として利用された。この「超SILAC」法により、乳がんや脳腫瘍などの初代ヒト腫瘍組織が含むさまざまなタンパク質を正確に定量することができた。


A method for quantifying proteins in human tumour tissue is reported in a paper published online this week in Nature Methods. This approach could lead to new insights in tumour biology.

Proteomics ― the study of cellular proteins on a large scale ― is routinely carried out using mass spectrometry technology. Many approaches have been developed to quantitatively measure protein levels in biological samples by mass spectrometry. One of these methods is known as SILAC, or stable isotope labeling by amino acids in cell culture. Using SILAC, proteins in a biological sample that serves as an internal quantitative standard are marked or 'labeled' with amino acids containing 'heavy' isotopes such that their mass is shifted on the mass spectrum. This is in comparison to the test sample, which is left unlabeled. This allows very accurate quantitative analysis of the test sample by mass spectrometry. However, this method can typically only be applied to cells or organisms that can be fully metabolically labeled with heavy amino acids.

Matthias Mann and colleagues now describe a twist to the SILAC approach that allows them to quantify proteins in primary human tissue, which cannot be metabolically labeled. Human tissues, including tumours, are made up of many different cell types expressing proteins at different levels. To represent the different cell types and proteins found in a particular tumour, the team labeled a mixture of several different immortalized human cancer cell lines with heavy amino acids. They use this mixture as an internal standard for mass spectrometry-based quantification of the tumour tissue proteome. With this 'super-SILAC' method, they were able to accurately quantify a large number of proteins in primary human tumour tissues, including breast and brain tumours.

Besides being useful for the study of tumor biology, the super-SILAC approach could be applied for the discovery of protein biomarkers for the early detection of cancer.

doi: 10.1038/nmeth.1446

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