[1] Lyons GE, Micales BK, Schwarz J, Martin JF, Olson EN. Expression of Mef2 genes in the mouse central nervous system suggests a role in neuronal maturation. J Neurosci, 1995, 15(8): 5727-5738.
[2] Breitbart RE, Liang CS, Smoot LB, Laheru DA, Mahdavi V, Nadal-Ginard B. A fourth human MEF2 transcription factor, hMEF2D, is an early marker of the myogenic lineage. Development, 1993, 118(4): 1095-1106.
[3] 张颖, 王利凤, 邵明, 张红卫. 文昌鱼AmphiMef2基因的特征及其发育表达. 中国科学(C辑: 生命科学), 2007, 37(4): 422-426.
[4] Chambers AE, Kotecha S, Towers N, Mohun TJ. Muscle-specific expression of SRF-related genes in the early embryo of Xenopus laevis. EMBO J, 1992, 11(13): 4981-4991.
[5] Ticho BS, Stainier DYR, Fishman MC, Breitbart RE. Three zebrafish Mef2 genes delineate somitic and cardiac muscle development in wild-type and mutant embryos. Mech Dev, 1996, 59(2): 205-218.
[6] Gossett LA, Kelvin DJ, Sternberg EA, Olson EN. A new myocyte-specific enhancer-binding factor that recognizes a conserved element associated with multiple muscle-specific genes. Mol Cell Biol, 1989, 9(11): 5022-5033.
[7] 程震龙, 朱大海, 张志谦. MEF2与肌肉发生. 遗传, 2002, 24(5): 581-585.
[8] Cripps RM, Black BL, Zhao B, Lien CL, Schulz RA, Olson EN. The myogenic regulatory gene Mef2 is a direct target for transcriptional activation by Twist during Drosophila myogenesis. Genes Dev, 1998, 12(3): 422-434.
[9] Shalizi A, Bonni A. Not just for muscle anymore: activity and calcium regulation of MEF2-dependent transcription in neuronal survival and differentiation. In: Dudek SM, ed. Transcriptional Regulation by Neuronal Activity. New York: Springer, 2008: 229-250.
[10] Kim MK, Kim SC, Kang JI, Hyun JH, Boo HJ, Eun SY, Park DB, Yoo ES, Kang HK, Kang JH. 6-Hydroxydopamine-induced PC12 cell death is mediated by MEF2D down-regulation. Neurochem Res, 2011, 36(2): 223-231.
[11] Pereira AHM, Clemente CFMZ, Cardoso AC, Theizen TH, Rocco SA, Judice CC, Guido MC, Pascoal VDB, Lopes-Cendes I, Souza JRM, Franchini KG. MEF2C silencing attenuates load-induced left ventricular hypertrophy by modulating mTOR/S6K pathway in mice. PLoS One, 2009, 4(12): e8472.
[12] Gasteiger E, Hoogland C, Gattiker A, Duvaud S, Wilkins MR, Appel RD, Bairoch A. Protein identification and analysis tools on the ExPASy server. In: Walker JM, ed. The Proteomics Pro-tocols Handbook. Totowa: Humana Press, 2005: 571-607.
[13] Blom N, Gammeltoft S, Brunak S. Sequence and structure-based prediction of eukaryotic protein phosphorylation sites. J Mol Biol, 1999, 294(5): 1351-1362.
[14] Julenius K, Mølgaard A, Gupta R, Brunak S. Prediction, conservation analysis and structural characterization of mammalian mucin-type O-glycosylation sites. Glycobiology, 2005, 15(2): 153-164.
[15] Marchler-Bauer A, Anderson JB, Chitsaz F, Derbyshire MK, DeWeese-Scott C, Fong JH, Geer LY, Geer RC, Gonzales NR, Gwadz M, He SQ, Hurwitz DI, Jackson JD, Ke ZX, Lanczycki CJ, Liebert CA, Liu CL, Lu F, Lu SN, Marchler GH, Mullokandov M, Song JS, Tasneem A, Thanki N, Yamashita RA, Zhang DC, Zhang NG, Bryant SH. CDD: specific functional annotation with the Conserved Domain Database. Nucleic Acids Res, 2009, 37(Suppl.1): D205-D210.
[16] Arnold K, Bordoli L, Kopp J, Schwede T. The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling. Bioinformatics, 2006, 22(2): 195-201.
[17] Kumar S, Dudley J, Nei M, Tamura K. MEGA: A biologist-centric software for evolutionary analysis of DNA and protein sequences. Brief Bioinform, 2008, 9(4): 299-306.
[18] Tamura K, Dudley J, Nei M, Kumar S. MEGA4: Molecular evolutionary genetics analysis (MEGA) software version 4.0. Mol Biol Evol, 2007, 24(8): 1596-1599.
[19] Zuckerkandl E, Pauling L. Evolutionary divergence and convergence in proteins. In: Bryson V, Vogel HJ, eds. Evol
