Publications
Found 14 results
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“Low miR-29c expression is a prognostic marker in hepatocellular carcinoma”, vol. 15, p. -, 2016.
, “Low miR-29c expression is a prognostic marker in hepatocellular carcinoma”, vol. 15, p. -, 2016.
, , , “ApoE and S-100 expression and its significance in the brain tissue of rats with focal contusion”, vol. 14, pp. 19275-19281, 2015.
, “Cloning and characterization of the SERK1 gene in triploid Pingyi Tiancha [Malus hupehensis (Pamp.) Rehd. var. pingyiensis Jiang] and a tetraploid hybrid strain”, vol. 14, pp. 14576-14586, 2015.
, “Differentiation-inducing effects of betamethasone on human glioma cell line U251”, vol. 14, pp. 7841-7849, 2015.
, “Effect of age on the immune system and pathology of mice with chronic graft-versus-host disease lupus nephritis”, vol. 14, pp. 10999-11005, 2015.
, “Effect of single nucleotide polymorphisms in the ATP-binding cassette B1 gene on the clinical outcome of traumatic brain injury”, vol. 14, pp. 10948-10953, 2015.
, “Genetic variability of ERCC1 and ERCC2 influences treatment outcomes in gastric cancer”, vol. 14, pp. 17529-17535, 2015.
, “Polymorphisms of uric transporter proteins in the pathogenesis of gout in a Chinese Han population”, vol. 14, pp. 2546-2550, 2015.
, “Role of a liver fatty acid-binding protein gene in lipid metabolism in chicken hepatocytes”, vol. 14, pp. 4847-4857, 2015.
, “Quantitative trait loci associated with body weight and abdominal fat traits on chicken chromosomes 3, 5 and 7”, vol. 11, pp. 956-965, 2012.
, Abasht B, Dekkers JC and Lamont SJ (2006). Review of quantitative trait loci identified in the chicken. Poult. Sci. 85: 2079-2096.
PMid:17135661
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
Andersson L and Georges M (2004). Domestic-animal genomics: deciphering the genetics of complex traits. Nat. Rev. Genet. 5: 202-212.
http://dx.doi.org/10.1038/nrg1294
PMid:14970822
Ankra-Badu GA, Le Bihan-Duval E, Mignon-Grasteau S, Pitel F, et al. (2010). Mapping QTL for growth and shank traits in chickens divergently selected for high or low body weight. Anim. Genet. 41: 400-405.
PMid:20096032
Atzmon G, Blum S, Feldman M, Lavi U, et al. (2007). Detection of agriculturally important QTLs in chickens and analysis of the factors affecting genotyping strategy. Cytogenet. Genome Res. 117: 327-337.
http://dx.doi.org/10.1159/000103195
PMid:17675875
Atzmon G, Blum S, Feldman M, Cahaner A, et al. (2008). QTLs detected in a multigenerational resource chicken population. J. Hered. 99: 528-538.
http://dx.doi.org/10.1093/jhered/esn030
PMid:18492652
Brockmann GA, Haley CS, Renne U, Knott SA, et al. (1998). Quantitative trait loci affecting body weight and fatness from a mouse line selected for extreme high growth. Genetics 150: 369-381.
PMid:9725853 PMCid:1460298
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
PMid:19466938
Carlborg O, Kerje S, Schutz K, Jacobsson L, et al. (2003). A global search reveals epistatic interaction between QTL for early growth in the chicken. Genome Res. 13: 413-421.
http://dx.doi.org/10.1101/gr.528003
PMid:12618372 PMCid:430275
Choct M, Naylor A, Hutton O and Nolan J (2000). Increasing efficiency of lean tissue composition in broiler chickens. A Report for the Rural Industries Research and Development Corporation. Publication No. 98/123. Available at [https://rirdc.infoservices.com.au/downloads/98-123]. Accessed September 20, 2010.
Churchill GA and Doerge RW (1994). Empirical threshold values for quantitative trait mapping. Genetics 138: 963-971.
PMid:7851788 PMCid:1206241
Deeb N and Lamont SJ (2002). Genetic architecture of growth and body composition in unique chicken populations. J. Hered. 93: 107-118.
http://dx.doi.org/10.1093/jhered/93.2.107
PMid:12140270
Green P, Falls K and Crooks S (1990). Program CRI-MAP, Version 2.4. Washington University School of Medicine, St. Louis.
Hu ZL, Fritz ER and Reecy JM (2007). AnimalQTLdb: a livestock QTL database tool set for positional QTL information mining and beyond. Nucleic Acids Res. 35: D604-D609.
http://dx.doi.org/10.1093/nar/gkl946
PMid:17135205 PMCid:1781224
Ikeobi CO, Woolliams JA, Morrice DR, Law A, et al. (2002). Quantitative trait loci affecting fatness in the chicken. Anim. Genet. 33: 428-435.
http://dx.doi.org/10.1046/j.1365-2052.2002.00911.x
PMid:12464017
Jacobsson L, Park HB, Wahlberg P, Fredriksson R, et al. (2005). Many QTLs with minor additive effects are associated with a large difference in growth between two selection lines in chickens. Genet. Res. 86: 115-125.
http://dx.doi.org/10.1017/S0016672305007767
PMid:16356285
Kerje S, Carlborg O, Jacobsson L, Schutz K, et al. (2003). The two-fold difference in adult size between the red junglefowl and White Leghorn chickens is largely explained by a limited number of QTLs. Anim. Genet. 34: 264-274.
http://dx.doi.org/10.1046/j.1365-2052.2003.01000.x
PMid:12873214
Knott SA, Marklund L, Haley CS, Andersson K, et al. (1998). Multiple marker mapping of quantitative trait loci in a cross between outbred wild boar and large white pigs. Genetics 149: 1069-1080.
PMid:9611214 PMCid:1460207
Lagarrigue S, Pitel F, Carre W, Abasht B, et al. (2006). Mapping quantitative trait loci affecting fatness and breast muscle weight in meat-type chicken lines divergently selected on abdominal fatness. Genet. Sel. Evol. 38: 85-97.
http://dx.doi.org/10.1186/1297-9686-38-1-85
PMCid:2689300
Le Bihan-Duval E, Millet N and Remignon H (1999). Broiler meat quality: effect of selection for increased carcass quality and estimates of genetic parameters. Poult. Sci. 78: 822-826.
PMid:10438124
Le Mignon G, Pitel F, Gilbert H, Le Bihan-Duval E, et al. (2009). A comprehensive analysis of QTL for abdominal fat and breast muscle weights on chicken chromosome 5 using a multivariate approach. Anim. Genet. 40: 157-164.
http://dx.doi.org/10.1111/j.1365-2052.2008.01817.x
PMid:19243366
Liu X, Li H, Wang S, Hu X, et al. (2007). Mapping quantitative trait loci affecting body weight and abdominal fat weight on chicken chromosome one. Poult. Sci. 86: 1084-1089.
PMid:17495077
Marklund L, Nystrom PE, Stern S, Andersson-Eklund L, et al. (1999). Confirmed quantitative trait loci for fatness and growth on pig chromosome 4. Heredity 82: 134-141.
http://dx.doi.org/10.1038/sj.hdy.6884630
PMid:10098263
McElroy JP, Kim JJ, Harry DE, Brown SR, et al. (2006). Identification of trait loci affecting white meat percentage and other growth and carcass traits in commercial broiler chickens. Poult. Sci. 85: 593-605.
PMid:16615342
Nadaf J, Pitel F, Gilbert H, Duclos MJ, et al. (2009). QTL for several metabolic traits map to loci controlling growth and body composition in an F2 intercross between high- and low-growth chicken lines. Physiol. Genomics 38: 241-249.
http://dx.doi.org/10.1152/physiolgenomics.90384.2008
PMid:19531576
National Research Council (1994). Nutrient Requirements of Poultry. Natl. Acad. Press, Washington.
Nones K, Ledur MC, Ruy DC, Baron EE, et al. (2006). Mapping QTLs on chicken chromosome 1 for performance and carcass traits in a broiler x layer cross. Anim. Genet. 37: 95-100.
http://dx.doi.org/10.1111/j.1365-2052.2005.01387.x
PMid:16573522
Park HB, Jacobsson L, Wahlberg P, Siegel PB, et al. (2006). QTL analysis of body composition and metabolic traits in an intercross between chicken lines divergently selected for growth. Physiol. Genomics 25: 216-223.
http://dx.doi.org/10.1152/physiolgenomics.00113.2005
PMid:16390876
SAS Institute (2004). JMP User’s Guide. SAS Institute Inc., Cary.
Schmid M, Nanda I, Guttenbach M, Steinlein C, et al. (2000). First report on chicken genes and chromosomes 2000. Cytogenet. Cell Genet. 90: 169-218.
http://dx.doi.org/10.1159/000056772
Seaton G, Hernandez J, Grunchec JA, White I, et al. (2006). GridQTL: A Grid Portal for QTL Mapping of Compute Intensive Datasets. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, 13-18.
Sewalem A, Morrice DM, Law A, Windsor D, et al. (2002). Mapping of quantitative trait loci for body weight at three, six, and nine weeks of age in a broiler layer cross. Poult. Sci. 81: 1775-1781.
PMid:12512565
Siwek M, Cornelissen SJ, Buitenhuis AJ, Nieuwland MG, et al. (2004). Quantitative trait loci for body weight in layers differ from quantitative trait loci specific for antibody responses to sheep red blood cells. Poult. Sci. 83: 853-859.
PMid:15206609
Spelman RJ and Bovenhuis H (1998). Moving from QTL experimental results to the utilization of QTL in breeding programmes. Anim. Genet. 29: 77-84.
http://dx.doi.org/10.1046/j.1365-2052.1998.00238.x
PMid:9699266
Tercic D, Holcman A, Dovc P, Morrice DR, et al. (2009). Identification of chromosomal regions associated with growth and carcass traits in an F(3) full sib intercross line originating from a cross of chicken lines divergently selected on body weight. Anim. Genet. 40: 743-748.
http://dx.doi.org/10.1111/j.1365-2052.2009.01917.x
PMid:19466935
Wahlberg P, Carlborg O, Foglio M, Tordoir X, et al. (2009). Genetic analysis of an F2 intercross between two chicken lines divergently selected for body-weight. BMC Genomics 10: 248.
http://dx.doi.org/10.1186/1471-2164-10-248
PMid:19473501 PMCid:2695486
Wang Q, Li H, Li N, Leng L, et al. (2006). Identification of single nucleotide polymorphism of adipocyte fatty acid-binding protein gene and its association with fatness traits in the chicken. Poult. Sci. 85: 429-434.
PMid:16553271
Zhang S, Li H and Shi H (2006). Single marker and haplotype analysis of the chicken apolipoprotein B gene T123G and D9500D9-polymorphism reveals association with body growth and obesity. Poult. Sci. 85: 178-184.
PMid:16523611
Zhou H, Deeb N, Evock-Clover CM, Ashwell CM, et al. (2006a). Genome-wide linkage analysis to identify chromosomal regions affecting phenotypic traits in the chicken. I. Growth and average daily gain. Poult. Sci 85: 1700-1711.
PMid:17012159
Zhou H, Deeb N, Evock-Clover CM, Ashwell CM, et al. (2006b). Genome-wide linkage analysis to identify chromosomal regions affecting phenotypic traits in the chicken. II. Body composition. Poult. Sci. 85: 1712-1721.
PMid:17012160
“Coagulation factor III (tissue factor) is required for vascularization in zebrafish embryos”, vol. 10, pp. 4147-4157, 2011.
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Berghmans S, Murphey RD, Wienholds E, Neuberg D, et al. (2005). tp53 mutant zebrafish develop malignant peripheral nerve sheath tumors. Proc. Natl. Acad. Sci. U. S. A. 102: 407-412.
http://dx.doi.org/10.1073/pnas.0406252102
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Pawlinski R and Mackman N (2004). Tissue factor, coagulation proteases, and protease-activated receptors in endotoxemia and sepsis. Crit. Care Med. 32: S293-S297.
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