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本文引用的文献

1
An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.
J Am Soc Mass Spectrom. 1994 Nov;5(11):976-89. doi: 10.1016/1044-0305(94)80016-2.
3
Neural palmitoyl-proteomics reveals dynamic synaptic palmitoylation.
Nature. 2008 Dec 18;456(7224):904-9. doi: 10.1038/nature07605.
4
Deep surveying of alternative splicing complexity in the human transcriptome by high-throughput sequencing.
Nat Genet. 2008 Dec;40(12):1413-5. doi: 10.1038/ng.259. Epub 2008 Nov 2.
5
Alternative isoform regulation in human tissue transcriptomes.
Nature. 2008 Nov 27;456(7221):470-6. doi: 10.1038/nature07509.
6
Comparisons of mass spectrometry compatible surfactants for global analysis of the mammalian brain proteome.
Anal Chem. 2008 Nov 15;80(22):8694-701. doi: 10.1021/ac800606w. Epub 2008 Oct 21.
7
Quantitative proteomic analysis of primary neurons reveals diverse changes in synaptic protein content in fmr1 knockout mice.
Proc Natl Acad Sci U S A. 2008 Oct 7;105(40):15281-6. doi: 10.1073/pnas.0804678105. Epub 2008 Sep 30.
8
Quantitative analysis of brain nuclear phosphoproteins identifies developmentally regulated phosphorylation events.
J Proteome Res. 2008 Nov;7(11):4743-55. doi: 10.1021/pr8003198. Epub 2008 Sep 30.
9
Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast.
Nature. 2008 Oct 30;455(7217):1251-4. doi: 10.1038/nature07341. Epub 2008 Sep 28.
10
Mass spectrometry and the emerging field of glycomics.
Chem Biol. 2008 Sep 22;15(9):881-92. doi: 10.1016/j.chembiol.2008.07.016.

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