Quantitative proteomic analysis of the budding yeast cell cycle using acid-cleavable isotope-coded affinity tag reagents

被引:33
作者
Flory, Mark R. [1 ]
Lee, Hookeun
Bonneau, Richard
Mallick, Parag
Serikawa, Kyle
Morris, David R.
Aebersold, Ruedi
机构
[1] Wesleyan Univ, Dept Mol Biol & Biochem, Middletown, CT 06459 USA
[2] Swiss Fed Inst Technol, Inst Mol Syst Biol, Zurich, Switzerland
[3] NYU, Dept Biol, New York, NY USA
[4] Univ Calif Los Angeles, Dept Chem & Biochem, Los Angeles, CA USA
[5] Cedars Sinai Med Ctr, Dept Hematol & Oncol, Los Angeles, CA 90048 USA
[6] Univ Washington, Dept Biochem, Seattle, WA 98195 USA
[7] Univ Zurich, Fac Nat Sci, Zurich, Switzerland
[8] Inst Syst Biol, Seattle, WA USA
关键词
cell cycle; electrospray ionization-tandem mass spectrometry; isotope-coded affinity tags; proteome profiling; Saccharomyces cerevisiae;
D O I
10.1002/pmic.200600159
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Quantitative profiling of proteins, the direct effectors of nearly all biological functions, will undoubtedly complement technologies for the measurement of mRNA. Systematic proteomic measurement of the cell cycle is now possible by using stable isotopic labeling with isotope-coded affinity tag reagents and software tools for high-throughput analysis of LC-MS/MS data. We provide here the first such study achieving quantitative, global proteomic measurement of a time-course gene expression experiment in a model eukaryote, the budding yeast Saccharomyces cerevisiae, during the cell cycle. We sampled 48% of all predicted ORFs, and provide the data, including identifications, quantitations, and statistical measures of certainty, to the community in a sortable matrix. We do not detect significant concordance in the dynamics of the system over the time-course tested between our proteomic measurements and microarray measures collected from similarly treated yeast cultures. Our proteomic dataset therefore provides a necessary and complementary measure of eukaryotic gene expression, establishes a rich database for the functional analysis of S. cerevisiae proteins, and will enable further development of technologies for global proteomic analysis of higher eukaryotes.
引用
收藏
页码:6146 / 6157
页数:12
相关论文
共 56 条
[1]  
Altman Naomi, 2005, Appl Bioinformatics, V4, P33, DOI 10.2165/00822942-200504010-00004
[2]   A comparison of selected mRNA and protein abundances in human liver [J].
Anderson, L ;
Seilhamer, J .
ELECTROPHORESIS, 1997, 18 (3-4) :533-537
[3]   Gene Ontology: tool for the unification of biology [J].
Ashburner, M ;
Ball, CA ;
Blake, JA ;
Botstein, D ;
Butler, H ;
Cherry, JM ;
Davis, AP ;
Dolinski, K ;
Dwight, SS ;
Eppig, JT ;
Harris, MA ;
Hill, DP ;
Issel-Tarver, L ;
Kasarskis, A ;
Lewis, S ;
Matese, JC ;
Richardson, JE ;
Ringwald, M ;
Rubin, GM ;
Sherlock, G .
NATURE GENETICS, 2000, 25 (01) :25-29
[4]   Coordinate regulation of energy transduction modules in Halobacterium sp analyzed by a global systems approach [J].
Baliga, NS ;
Pan, M ;
Goo, YA ;
Yi, EC ;
Goodlett, DR ;
Dimitrov, K ;
Shannon, P ;
Aebersold, R ;
Ng, WV ;
Hood, L .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 (23) :14913-14918
[5]   Femtomol sensitivity post-digest 18O labeling for relative quantification of differential protein complex composition [J].
Bantscheff, M ;
Dümpelfeld, B ;
Kuster, B .
RAPID COMMUNICATIONS IN MASS SPECTROMETRY, 2004, 18 (08) :869-876
[6]   Transcriptional response of Saccharomyces cerevisiae to DNA-damaging agents does not identify the genes that protect against these agents [J].
Birrell, GW ;
Brown, JA ;
Wu, HI ;
Giaever, G ;
Chu, AM ;
Davis, RW ;
Brown, JM .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 (13) :8778-8783
[7]   Analysis of variance components in gene expression data [J].
Chen, JJ ;
Delongchamp, RR ;
Tsai, CA ;
Hsueh, HM ;
Sistare, F ;
Thompson, KL ;
Desai, VG ;
Fuscoe, JC .
BIOINFORMATICS, 2004, 20 (09) :1436-1446
[8]   A genome-wide transcriptional analysis of the mitotic cell cycle [J].
Cho, RJ ;
Campbell, MJ ;
Winzeler, EA ;
Steinmetz, L ;
Conway, A ;
Wodicka, L ;
Wolfsberg, TG ;
Gabrielian, AE ;
Landsman, D ;
Lockhart, DJ ;
Davis, RW .
MOLECULAR CELL, 1998, 2 (01) :65-73
[9]  
Desiere F, 2005, GENOME BIOL, V6
[10]   Saccharomyces Genome Database (SGD) provides secondary gene annotation using the Gene Ontology (GO) [J].
Dwight, SS ;
Harris, MA ;
Dolinski, K ;
Ball, CA ;
Binkley, G ;
Christie, KR ;
Fisk, DG ;
Issel-Tarver, L ;
Schroeder, M ;
Sherlock, G ;
Sethuraman, A ;
Weng, S ;
Botstein, D ;
Cherry, JM .
NUCLEIC ACIDS RESEARCH, 2002, 30 (01) :69-72