Publications
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“Identification and characterization of microRNAs expressed in chicken skeletal muscle”, vol. 13, pp. 1465-1479, 2014.
, “Chicken skeletal muscle-associated macroarray for gene discovery”, vol. 9, pp. 188-207, 2010.
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http://dx.doi.org/10.1126/science.2047873
PMid:2047873
Afrakhte M and Schultheiss TM (2004). Construction and analysis of a subtracted library and microarray of cDNAs expressed specifically in chicken heart progenitor cells. Dev. Dyn. 230: 290-298.
http://dx.doi.org/10.1002/dvdy.20059
Baldessari D, Shin Y, Krebs O, König R, et al. (2005). Global gene expression profiling and cluster analysis in Xenopus laevis. Mech. Dev. 122: 441-475.
http://dx.doi.org/10.1016/j.mod.2004.11.007
Bliss TW, Dohms JE, Emara MG and Keeler CL Jr (2005). Gene expression profiling of avian macrophage activation. Vet. Immunol. Immunopathol. 105: 289-299.
http://dx.doi.org/10.1016/j.vetimm.2005.02.013
PMid:15808307
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http://dx.doi.org/10.1101/gr.1075103
PMid:12819129 PMCid:403653
Buza TJ, McCarthy FM and Burgess SC (2007). Experimental-confirmation and functional-annotation of predicted proteins in the chicken genome. BMC Genomics 8: 425.
http://dx.doi.org/10.1186/1471-2164-8-425
PMid:18021451 PMCid:2204016
Cogburn LA, Porter TE, Duclos MJ, Simon J, et al. (2007). Functional genomics of the chicken - a model organism. Poult. Sci. 86: 2059-2094.
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http://dx.doi.org/10.1093/nar/gkh885
PMid:15479782 PMCid:524295
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http://dx.doi.org/10.1186/gb-2006-7-7-r57
PMid:16859532
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http://dx.doi.org/10.1016/j.tplants.2007.08.018
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http://dx.doi.org/10.1016/S0168-9525(00)02176-4
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http://dx.doi.org/10.1002/jmor.1050880104
Hata K, Fujitani M, Yasuda Y, Doya H, et al. (2006). RGMa inhibition promotes axonal growth and recovery after spinal cord injury. J. Cell Biol. 173: 47-58.
http://dx.doi.org/10.1083/jcb.200508143
PMid:16585268
Hillier LW, Miller W, Birney E and Warren W, et al. (2004). Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution. Nature 432: 695-716.
http://dx.doi.org/10.1038/nature03154
PMid:15592404
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http://dx.doi.org/10.1101/gr.9.9.868
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http://dx.doi.org/10.1387/ijdb.031775ej
PMid:15300514
Jorge EC, Figueira A, Ledur MC and Moura ASAMT, et al. (2007). Contributions and perspectives of chicken genomics in Brazil: from biological model to export commodity. Worlds Poult. Sci. J. 63: 597-610.
http://dx.doi.org/10.1017/S004393390700164X
Kuninger D, Kuzmickas R, Peng B, Pintar JE, et al. (2004). Gene discovery by microarray: identification of novel genes induced during growth factor-mediated muscle cell survival and differentiation. Genomics 84: 876-889.
http://dx.doi.org/10.1016/j.ygeno.2004.07.013
PMid:15475267
Kusano S and Raab-Traub N (2002). I-mfa domain proteins interact with Axin and affect its regulation of the Wnt and c-Jun N-terminal kinase signaling pathways. Mol. Cell Biol. 22: 6393-6405.
http://dx.doi.org/10.1128/MCB.22.18.6393-6405.2002
PMid:12192039
Matsunaga E and Chédotal A (2004). Repulsive guidance molecule/neogenin: a novel ligand-receptor system playing multiple roles in neural development. Dev. Growth Differ. 46: 481-486.
http://dx.doi.org/10.1111/j.1440-169x.2004.00768.x
PMid:15610137
Mawdsley DJ, Cooper HM, Hogan BM, Cody SH, et al. (2004). The Netrin receptor Neogenin is required for neural tube formation and somitogenesis in zebrafish. Dev. Biol. 269: 302-315.
http://dx.doi.org/10.1016/j.ydbio.2004.02.001
PMid:15081375
Monnier PP, Sierra A, Macchi P, Deitinghoff L, et al. (2002). RGM is a repulsive guidance molecule for retinal axons. Nature 419: 392-395.
http://dx.doi.org/10.1038/nature01041
Nagaya M, Inohaya K, Imai Y and Kudo A (2002). Expression of zisp, a DHHC zinc finger gene, in somites and lens during zebrafish embryogenesis. Mech. Dev. 119 (Suppl 1): S311-S314.
http://dx.doi.org/10.1016/S0925-4773(03)00133-3
Neiman PE, Ruddell A, Jasoni C, Loring G, et al. (2001). Analysis of gene expression during myc oncogene-induced lymphomagenesis in the bursa of Fabricius. Proc. Natl. Acad. Sci. USA 98: 6378-6383.
http://dx.doi.org/10.1073/pnas.111144898
PMid:11353853
Niederkofler V, Salie R, Sigrist M and Arber S (2004). Repulsive guidance molecule (RGM) gene function is required for neural tube closure but not retinal topography in the mouse visual system. J. Neurosci. 24: 808-818.
http://dx.doi.org/10.1523/JNEUROSCI.4610-03.2004
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http://dx.doi.org/10.1038/ng1274
PMid:14647275
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http://dx.doi.org/10.1002/0471142905.hg0506s21
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http://dx.doi.org/10.1074/jbc.M002813200
Smith J, Speed D, Hocking PM, Talbot RT, et al. (2006). Development of a chicken 5K microarray targeted towards immune function. BMC Genomics 7: 49.
http://dx.doi.org/10.1186/1471-2164-7-49
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http://dx.doi.org/10.1073/pnas.91.20.9228
Szustakowski JD, Lee JH, Marrese CA, Kosinski PA, et al. (2006). Identification of novel pathway regulation during myogenic differentiation. Genomics 87: 129-138.
http://dx.doi.org/10.1016/j.ygeno.2005.08.009
van Hemert S, Ebbelaar BH, Smits MA and Rebel JM (2003). Generation of EST and microarray resources for functional genomic studies on chicken intestinal health. Anim. Biotechnol. 14: 133-143.
http://dx.doi.org/10.1081/ABIO-120026483
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http://dx.doi.org/10.1089/106652701753307520
Woods S, Farrall A, Procko C and Whitelaw ML (2008). The bHLH/Per-Arnt-Sim transcription factor SIM2 regulates muscle transcript myomesin2 via a novel, non-canonical E-box sequence. Nucleic Acids Res. 36: 3716-3727.
http://dx.doi.org/10.1093/nar/gkn247
Zhang W, Morris QD, Chang R, Shai O, et al. (2004). The functional landscape of mouse gene expression. J. Biol. 3: 21.
http://dx.doi.org/10.1186/jbiol16
“Precision of distances and ordering of microsatellite markers in consensus linkage maps of chromosomes 1, 3 and 4 from two reciprocal chicken populations using bootstrap sampling”, vol. 9, pp. 1357-1376, 2010.
, Abasht B, Dekkers JC and Lamont SJ (2006). Review of quantitative trait loci identified in the chicken. Poult. Sci. 85: 2079-2096.
PMid:17135661
Aerts J, Crooijmans R, Cornelissen S, Hemmatian K, et al. (2003). Integration of chicken genomic resources to enable whole-genome sequencing. Cytogenet. Genome Res. 102: 297-303.
http://dx.doi.org/10.1159/000075766
PMid:14970720
Ambo M, Campos RLR, Moura ASAMT, Boschiero C, et al. (2008). Genetic linkage maps of chicken chromosomes 6, 7, 8, 11 and 13 from a Brazilian resource population. Sci. Agric. 65: 447-452.
http://dx.doi.org/10.1590/S0103-90162008000500001
Ambo M, Moura AS, Ledur MC, Pinto LF, et al. (2009). Quantitative trait loci for performance traits in a broiler x layer cross. Anim. Genet. 40: 200-208.
http://dx.doi.org/10.1111/j.1365-2052.2008.01824.x
PMid:19170675
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Campos RL, Nones K, Ledur MC, Moura AS, et al. (2009). Quantitative trait loci associated with fatness in a broiler-layer cross. Anim. Genet. 40: 729-736.
http://dx.doi.org/10.1111/j.1365-2052.2009.01910.x
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Figueiredo EAP, Schmidt GS, Ledur MC and Avila VS (2003b). Genetic gain in egg production and egg weight in White Legorn Embrapa 011. Proceedings of the IX World Conference on Animal Production, Porto Alegre.
Fishelson M and Geiger D (2002). Exact genetic linkage computations for general pedigrees. Bioinformatics 18 (Suppl 1): S189-S198.
http://dx.doi.org/10.1093/bioinformatics/18.suppl_1.S189
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Groenen MA, Wahlberg P, Foglio M, Cheng HH, et al. (2009). A high-density SNP-based linkage map of the chicken genome reveals sequence features correlated with recombination rate. Genome Res. 19: 510-519.
http://dx.doi.org/10.1101/gr.086538.108
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