一項(xiàng)將高分辨率質(zhì)譜,、“SILAC”標(biāo)記和計(jì)算蛋白組學(xué)方法結(jié)合起來的研究工作,，被用來實(shí)現(xiàn)蛋白組學(xué)中的一個(gè)重要目標(biāo)：一個(gè)蛋白組的完全識(shí)別和量化。該研究發(fā)現(xiàn)了一個(gè)由多達(dá)4,399單個(gè)內(nèi)生蛋白組成的蛋白組,，就在正常生長(zhǎng)的酵母細(xì)胞中所表達(dá)的蛋白而言,，這實(shí)質(zhì)上是一個(gè)完整的蛋白組。
研究人員將單倍體細(xì)胞中這些蛋白的水平與雙倍體細(xì)胞中它們的水平進(jìn)行了對(duì)比,。除了其他差別之外,，雙倍體中細(xì)胞壁成分的含量也顯著降低，這與雙倍體比單倍體大兩倍,、但并沒有兩倍大的表面積這一事實(shí)是一致的,。（生物谷Bioon.com）
生物谷推薦原始出處：
Nature 455, 1251-1254 (30 October 2008) | doi:10.1038/nature07341
Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast
Lyris M. F. de Godoy1,3, Jesper V. Olsen1,3, Jürgen Cox1,3, Michael L. Nielsen1,3, Nina C. Hubner1, Florian Fr?hlich2, Tobias C. Walther2 & Matthias Mann1
1 Proteomics and Signal Transduction, and,
2 Organelle Architecture and Dynamics, Max-Planck-Institute for Biochemistry, Am Klopferspitz 18, D-82152 Martinsried, Germany
3 These authors contributed equally to this work.
Mass spectrometry is a powerful technology for the analysis of large numbers of endogenous proteins1, 2. However, the analytical challenges associated with comprehensive identification and relative quantification of cellular proteomes have so far appeared to be insurmountable3. Here, using advances in computational proteomics, instrument performance and sample preparation strategies, we compare protein levels of essentially all endogenous proteins in haploid yeast cells to their diploid counterparts. Our analysis spans more than four orders of magnitude in protein abundance with no discrimination against membrane or low level regulatory proteins. Stable-isotope labelling by amino acids in cell culture (SILAC) quantification4, 5 was very accurate across the proteome, as demonstrated by one-to-one ratios of most yeast proteins. Key members of the pheromone pathway were specific to haploid yeast but others were unaltered, suggesting an efficient control mechanism of the mating response. Several retrotransposon-associated proteins were specific to haploid yeast. Gene ontology analysis pinpointed a significant change for cell wall components in agreement with geometrical considerations: diploid cells have twice the volume but not twice the surface area of haploid cells. Transcriptome levels agreed poorly with proteome changes overall. However, after filtering out low confidence microarray measurements, messenger RNA changes and SILAC ratios correlated very well for pheromone pathway components. Systems-wide, precise quantification directly at the protein level opens up new perspectives in post-genomics and systems biology.
