Publications
Found 22 results
Filters: Author is C.Y. Wang [Clear All Filters]
“Collinearity analysis of allotetraploid Gossypium tomentosum and Gossypium darwinii”, vol. 15, p. -, 2016.
, “Collinearity analysis of allotetraploid Gossypium tomentosum and Gossypium darwinii”, vol. 15, p. -, 2016.
, “Mapping QTLs for drought tolerance in an F2:3 population from an inter-specific cross between Gossypium tomentosum and Gossypium hirsutum”, vol. 15, p. -, 2016.
, “Mapping QTLs for drought tolerance in an F2:3 population from an inter-specific cross between Gossypium tomentosum and Gossypium hirsutum”, vol. 15, p. -, 2016.
, “Microsatellite markers reveal genetic divergence among wild and cultured populations of Chinese sucker Myxocyprinus asiaticus”, vol. 15, p. -, 2016.
, , , “ Acetobacter bacteria are found in Zhenjiang vinegar grains”, vol. 14, pp. 5054-5064, 2015.
, “Analysis of tacrolimus blood concentrations in renal transplant patients”, vol. 14, pp. 3791-3797, 2015.
, “Characterization and development of chloroplast microsatellite markers for Gossypium hirsutum, and cross-species amplification in other Gossypium species”, vol. 14, pp. 11924-11932, 2015.
, “Construction and characterization of a bacterial artificial chromosome library for the allotetraploid Gossypium tomentosum”, vol. 14, pp. 16975-16980, 2015.
, “Genetic diversity and relationship analysis of Gossypium arboreum accessions”, vol. 14, pp. 14522-14529, 2015.
, “imDC: an ensemble learning method for imbalanced classification with miRNA data”, vol. 14, pp. 123-133, 2015.
, “miR-71b regulation of insulin/IGF-1 signaling during starvation in planarians”, vol. 14, pp. 11905-11914, 2015.
, , “Allelopathy of the invasive plant Bidens frondosa on the seed germination of Geum japonicum var. chinense”, vol. 13, pp. 10592-10598, 2014.
, “Familial primary open-angle glaucoma: a case report”, vol. 13. pp. 3162-3164, 2014.
, “Identification of the isoamylase 3 gene in common wheat and its expression profile during the grain-filling period”, vol. 12, pp. 4264-4275, 2013.
, “A common genetic variant of 5p15.33 is associated with risk for prostate cancer in the Chinese population”, vol. 11, pp. 1349-1356, 2012.
,
Amundadottir L, Kraft P, Stolzenberg-Solomon RZ, Fuchs CS, et al. (2009). Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer. Nat. Genet. 41: 986-990.
http://dx.doi.org/10.1038/ng.429
PMid:19648918 PMCid:2839871
Crawford ED (2003). Epidemiology of prostate cancer. Urology 62: 3-12.
http://dx.doi.org/10.1016/j.urology.2003.10.013
PMid:14706503
Dennis LK, Lynch CF and Torner JC (2002). Epidemiologic association between prostatitis and prostate cancer. Urology 60: 78-83.
http://dx.doi.org/10.1016/S0090-4295(02)01637-0
Gleason DF and Mellinger GT (1974). Prediction of prognosis for prostatic adenocarcinoma by combined histological grading and clinical staging. J. Urol. 111: 58-64.
PMid:4813554
Gudmundsson J, Sulem P, Manolescu A, Amundadottir LT, et al. (2007). Genome-wide association study identifies a second prostate cancer susceptibility variant at 8q24. Nat. Genet. 39: 631-637.
http://dx.doi.org/10.1038/ng1999
PMid:17401366
Jemal A, Siegel R, Ward E, Hao Y, et al. (2009). Cancer statistics, 2009. CA Cancer J. Clin. 59: 225-249.
http://dx.doi.org/10.3322/caac.20006
PMid:19474385
Jemal A, Bray F, Center MM, Ferlay J, et al. (2011). Global cancer statistics. CA Cancer J. Clin. 61: 69-90.
http://dx.doi.org/10.3322/caac.20107
PMid:21296855
Kiemeney LA, Thorlacius S, Sulem P, Geller F, et al. (2008). Sequence variant on 8q24 confers susceptibility to urinary bladder cancer. Nat. Genet. 40: 1307-1312.
http://dx.doi.org/10.1038/ng.229
PMid:18794855
Lichtenstein P, Holm NV, Verkasalo PK, Iliadou A, et al. (2000). Environmental and heritable factors in the causation of cancer - analyses of cohorts of twins from Sweden, Denmark, and Finland. N. Engl. J. Med. 343: 78-85.
http://dx.doi.org/10.1056/NEJM200007133430201
PMid:10891514
Mandal RK, Kapoor R and Mittal RD (2010). Polymorphic variants of DNA repair gene XRCC3 and XRCC7 and risk of prostate cancer: a study from North Indian population. DNA Cell Biol. 29: 669-674.
http://dx.doi.org/10.1089/dna.2010.1047
PMid:20590474
McCracken M, Olsen M, Chen MS Jr, Jemal A, et al. (2007). Cancer incidence, mortality, and associated risk factors among Asian Americans of Chinese, Filipino, Vietnamese, Korean, and Japanese ethnicities. CA Cancer J. Clin. 57: 190-205.
http://dx.doi.org/10.3322/canjclin.57.4.190
PMid:17626117
McKay JD, Hung RJ, Gaborieau V, Boffetta P, et al. (2008). Lung cancer susceptibility locus at 5p15.33. Nat. Genet. 40: 1404-1406.
http://dx.doi.org/10.1038/ng.254
PMid:18978790 PMCid:2748187
Rafnar T, Sulem P, Stacey SN, Geller F, et al. (2009). Sequence variants at the TERT-CLPTM1L locus associate with many cancer types. Nat. Genet. 41: 221-227.
http://dx.doi.org/10.1038/ng.296
PMid:19151717
Rodriguez C, Calle EE, Miracle-McMahill HL, Tatham LM, et al. (1997). Family history and risk of fatal prostate cancer. Epidemiology 8: 653-657.
PMid:9345665
Schaid DJ (2004). The complex genetic epidemiology of prostate cancer. Hum. Mol. Genet. 13 (Spec No. 1): R103-R121.
Truong T, Hung RJ, Amos CI, Wu X, et al. (2010). Replication of lung cancer susceptibility loci at chromosomes 15q25, 5p15, and 6p21: a pooled analysis from the International Lung Cancer Consortium. J. Natl. Cancer Inst. 102: 959-971.
http://dx.doi.org/10.1093/jnci/djq178
PMid:20548021 PMCid:2897877
Yang P, Li Y, Jiang R, Cunningham JM, et al. (2010). A rigorous and comprehensive validation: common genetic variations and lung cancer. Cancer Epidemiol. Biomark. Prev. 19: 240-244.
http://dx.doi.org/10.1158/1055-9965.EPI-09-0710
PMid:20056643 PMCid:2805461
Yeager M, Orr N, Hayes RB, Jacobs KB, et al. (2007). Genome-wide association study of prostate cancer identifies a second risk locus at 8q24. Nat. Genet. 39: 645-649.
http://dx.doi.org/10.1038/ng2022
PMid:17401363
“Identification of markers tightly linked to tomato yellow leaf curl disease and root-knot nematode resistance by multiplex PCR”, vol. 11, pp. 2917-2928, 2012.
,
Castro AP, Díez MJ and Nuez F (2007). Inheritance of tomato yellow leaf curl virus resistance derived from Solanum pimpinellifolium UPV16991. Plant Dis. 91: 879-885.
http://dx.doi.org/10.1094/PDIS-91-7-0879
Chen S, Fang Y and Yao LF (2006). Quick Preparation for Identification of DNA by PCR. Plant Physiol. Commun. 42: 36-39.
Fauquet CM and Stanley J (2003). Geminivirus classification and nomenclature: progress and problems. Ann. Appl. Biol. 142: 165-189.
http://dx.doi.org/10.1111/j.1744-7348.2003.tb00241.x
Fauquet CM, Bisaro DM, Briddon RW, Brown LK, et al. (2003). Revision of taxonomic criteria for species demarcation in the family Geminiviridae, and an updated list of begomovirus species. Arch. Virol. 148: 405-421.
http://dx.doi.org/10.1007/s00705-002-0957-5
PMid:12557003
Gilbert JC (1958). Some linkage studies with the Mi gene for resistance to root-knot. Rep. Tomato Genet. Coop. 8: 15-17.
Hanson PM, Bernacchi D, Green S, Tanksley SD, et al. (2000). Mapping a wild tomato introgression associated with tomato yellow leaf curl virus resistance in a cultivated tomato line. J. Am. Soc. Hortic. Sci. 125: 15-20.
Hassan AA, Wafi MS, Quronfilah NE, Obaji UA, et al. (1991). Screening for tomato yellow leaf curl virus resistance in wild and domestic Lycopersicon accessions. Rep. Tomato Genet. Coop. 41:19-21.
Ji Y and Scott JW (2006). Ty-3, a begomovirus resistance locus linked to Ty-1 on chromosome 6 of tomato. Rep. Tomato Genet. Coop. 56: 22-25.
Ji Y, Schuster DJ and Scott JW (2007). Ty-3, a begomovirus resistance locus near the Tomato yellow leaf curl virus resistance locus Ty-1 on chromosome 6 of tomato. Mol. Breed. 20: 271-284.
http://dx.doi.org/10.1007/s11032-007-9089-7
Kaya HB and Tanyolaç B (2009). Screening of F3 segregation population lines revealed by Ty-1 markers linked to resistance locus of tomato yellow leaf curl disease (TYLCD) in Tomato (Lycopersicum esculentum). Int. J. Nat. Eng. Sci. 33: 149-153.
Lapidot M and Friedmann M (2000). Breeding for resistance to whitefly-transmitted geminiviruses. Ann. Appl. Biol. 140: 109-127.
http://dx.doi.org/10.1111/j.1744-7348.2002.tb00163.x
Laterrot H (1992). Resistance genitors to Tomato yellow leaf curl virus (TYLCV). Tomato Leaf Curl. Newsl. 1: 2-4.
Laterrot H (1995). Breeding network to create tomato varieties resistant to Tomato yellow leaf curl virus (TYLCV). Fruits 50: 439-444.
Michelson I, Zamir D and Czosnek H (1994). Accumulation and translocation of Tomato yellow leaf curl virus (TYLCV) in a Lycopersicon esculentum breeding line containing the L. chilense TYLCV tolerance gene Ty-1. Phytopathology 84: 928-933.
http://dx.doi.org/10.1094/Phyto-84-928
Milo J (2001). The PCR-Based Marker REX-1, Linked to the Gene Mi, can be Used as a Marker to TYLCV Tolerance. Proceedings of Tomato Breeders Round Table, Antigua.
Picó B, Díez MJ and Nuez F (1996). Viral diseases causing the greatest economic losses to the tomato crop. II. The tomato yellow leaf curl virus - a review. Sci. Hortic. 67: 151-196.
http://dx.doi.org/10.1016/S0304-4238(96)00945-4
Pilowsky M and Cohen S (2000). Screening additional wild tomatoes for resistance to the whitefly-borne tomato yellow leaf curl virus. Acta Physiol. Plant 22: 351-353.
http://dx.doi.org/10.1007/s11738-000-0052-z
Yu L, Zhu L and Wan Y (2008). Identification of Ty-1 gene and Mi gene by multiplex PCR reaction in tomato. Mol. Plant Breed. 6: 165-169.
Zamir D, Ekstein-Michelson I, Zakay Y, Navot N, et al. (1994). Mapping and introgression of a Tomato yellow leaf curl virus tolerance gene, Ty-1. Theor. Appl. Genet. 88: 141-146.
http://dx.doi.org/10.1007/BF00225889
“Novel single nucleotide polymorphisms of the bovine methyltransferase 3b gene and their association with meat quality traits in beef cattle”, vol. 11, pp. 2569-2577, 2012.
,
Amara K, Ziadi S, Hachana M, Soltani N, et al. (2010). DNA methyltransferase DNMT3b protein overexpression as a prognostic factor in patients with diffuse large B-cell lymphomas. Cancer Sci. 101: 1722-1730.
http://dx.doi.org/10.1111/j.1349-7006.2010.01569.x
PMid:20398054
Barres R and Zierath JR (2011). DNA methylation in metabolic disorders. Am. J. Clin. Nutr. 93: 897S-900.
http://dx.doi.org/10.3945/ajcn.110.001933
PMid:21289222
de Vogel S, Wouters KA, Gottschalk RW, van Schooten FJ, et al. (2011). Dietary methyl donors, methyl metabolizing enzymes, and epigenetic regulators: diet-gene interactions and promoter CpG island hypermethylation in colorectal cancer. Cancer Causes Control 22: 1-12.
http://dx.doi.org/10.1007/s10552-010-9659-6
PMid:20960050 PMCid:3002163
Fan YY, Zan LS, Wang HB and Yang YJ (2010). Study on the relationship between polymorphism of PLIN gene and carcass and meat quality traits in Qinchuan cattle. Chin. J. Anim. Vet. Sci. 41: 268-273.
Fraga MF, Ballestar E, Paz MF, Ropero S, et al. (2005). Epigenetic differences arise during the lifetime of monozygotic twins. Proc. Natl. Acad. Sci. U. S. A. 102: 10604-10609.
http://dx.doi.org/10.1073/pnas.0500398102
PMid:16009939 PMCid:1174919
Guo X, Liu X, Xu X, Wu M, et al. (2012). The expression levels of DNMT3a/3b and their relationship with meat quality in beef cattle. Mol. Biol. Rep. 39: 5473-5479.
http://dx.doi.org/10.1007/s11033-011-1349-2
PMid:22193622
Haggarty P, Hoad G, Harris SE, Starr JM, et al. (2010). Human intelligence and polymorphisms in the DNA methyltransferase genes involved in epigenetic marking. PLoS One 5: e11329.
http://dx.doi.org/10.1371/journal.pone.0011329
PMid:20593030 PMCid:2892514
Halaschek-Wiener J, Amirabbasi-Beik M, Monfared N, Pieczyk M, et al. (2009). Genetic variation in healthy oldest-old. PLoS One 4: e6641.
http://dx.doi.org/10.1371/journal.pone.0006641
PMid:19680556 PMCid:2722017
Hoey AJ, Reich MM, Davis G, Shorthose R, et al. (1995). Beta 2-adrenoceptor densities do not correlate with growth, carcass quality, or meat quality in cattle. J. Anim. Sci. 73: 3281-3286.
PMid:8586585
Ji AG, Zhou ZK, Zhang LP, Yang RJ, et al. (2009). PON1 gene SNPs and association with growth and carcass traits in beef cattle. Acta Vet. Zootechnica Sin. 40: 122-128.
Kamei Y, Suganami T, Ehara T, Kanai S, et al. (2010). Increased expression of DNA methyltransferase 3a in obese adipose tissue: studies with transgenic mice. Obesity 18: 314-321.
http://dx.doi.org/10.1038/oby.2009.246
PMid:19680236
Kurita S, Higuchi H, Saito Y, Nakamoto N, et al. (2010). DNMT1 and DNMT3b silencing sensitizes human hepatoma cells to TRAIL-mediated apoptosis via up-regulation of TRAIL-R2/DR5 and caspase-8. Cancer Sci. 101: 1431-1439.
http://dx.doi.org/10.1111/j.1349-7006.2010.01565.x
PMid:20398055
Li WF, Yang RJ, Gan QF, Zhang LP, et al. (2009). Polymorphism of PRKAG3 gene and Its association with carcass and meat quality traits in beef cattle. Acta Vet. Zootechnica Sin. 40: 1106-1111.
Liu Y, Li K, Liu WJ, Wang JF, et al. (2009). Study on the effect of down-regulation of DNMT1 on cell proliferation, metastasis ability of esophageal squamous cell carcinoma cell line EC9706 cells and its related mechanisms. China Oncol. 19: 826-830.
Maier S and Olek A (2002). Diabetes: a candidate disease for efficient DNA methylation profiling. J. Nutr. 132: 2440S-2443S.
PMid:12163708
Okano M, Bell DW, Haber DA and Li E (1999). DNA methyltransferases Dnmt3a and Dnmt3b are essential for de novo methylation and mammalian development. Cell 99: 247-257.
http://dx.doi.org/10.1016/S0092-8674(00)81656-6
Page BT, Casas E, Heaton MP, Cullen NG, et al. (2002). Evaluation of single-nucleotide polymorphisms in CAPN1 for association with meat tenderness in cattle. J. Anim. Sci. 80: 3077-3085.
PMid:12542147
Tidball JG and Spencer MJ (2002). Expression of a calpastatin transgene slows muscle wasting and obviates changes in myosin isoform expression during murine muscle disuse. J. Physiol. 545: 819-828.
http://dx.doi.org/10.1113/jphysiol.2002.024935
PMid:12482888 PMCid:2290726
Turek-Plewa J and Jagodzinski PP (2005). The role of mammalian DNA methyltransferases in the regulation of gene expression. Cell Mol. Biol. Lett. 10: 631-647.
PMid:16341272
Wang X, Zhu H, Snieder H, Su S, et al. (2010). Obesity related methylation changes in DNA of peripheral blood leukocytes. BMC Med. 8: 87.
http://dx.doi.org/10.1186/1741-7015-8-87
PMid:21176133 PMCid:3016263
Yu Y, Zhang H, Tian F, Zhang W, et al. (2008). An integrated epigenetic and genetic analysis of DNA methyltransferase genes (DNMTs) in tumor resistant and susceptible chicken lines. PLoS One 3: e2672.
http://dx.doi.org/10.1371/journal.pone.0002672
PMid:18648519 PMCid:2481300
“Genetic algorithm-based efficient feature selection for classification of pre-miRNAs”, vol. 10, pp. 588-603, 2011.
, Bartel DP (2004). MicroRNAs: genomics, biogenesis, mechanism, and function. Cell 116: 281-297.
doi:10.1016/S0092-8674(04)00045-5
Batuwita R and Palade V (2009). microPred: effective classification of pre-miRNAs for human miRNA gene prediction. Bioinformatics 25: 989-995.
doi:10.1093/bioinformatics/btp107
PMid:19233894
Berezikov E, Guryev V, van de Belt J, Wienholds E, et al. (2005). Phylogenetic shadowing and computational identification of human microRNA genes. Cell 120: 21-24.
doi:10.1016/j.cell.2004.12.031
PMid:15652478
Bushati N and Cohen SM (2007). microRNA functions. Annu. Rev. Cell Dev. Biol. 23: 175-205.
doi:10.1146/annurev.cellbio.23.090506.123406
PMid:17506695
Chang DT, Wang CC and Chen JW (2008). Using a kernel density estimation based classifier to predict species-specific microRNA precursors. BMC Bioinformatics 9 (Suppl 12): S2.
doi:10.1186/1471-2105-9-S12-S2
PMid:19091019 PMCid:2638167
Chatterjee S and Grosshans H (2009). Active turnover modulates mature microRNA activity in Caenorhabditis elegans. Nature 461: 546-549.
doi:10.1038/nature08349
PMid:19734881
Fera D, Kim N, Shiffeldrim N, Zorn J, et al. (2004). RAG: RNA-As-Graphs web resource. BMC Bioinformatics 5: 88.
doi:10.1186/1471-2105-5-88
PMid:15238163 PMCid:471545
Freyhult E, Gardner PP and Moulton V (2005). A comparison of RNA folding measures. BMC Bioinformatics 6: 241.
doi:10.1186/1471-2105-6-241
PMid:16202126 PMCid:1274297
Gan HH, Fera D, Zorn J, Shiffeldrim N, et al. (2004). RAG: RNA-As-Graphs database - concepts, analysis, and features. Bioinformatics 20: 1285-1291.
doi:10.1093/bioinformatics/bth084
PMid:14962931
Griffiths-Jones S, Saini HK, van Dongen S and Enright AJ (2008). miRBase: tools for microRNA genomics. Nucleic Acids Res. 36: D154-D158.
doi:10.1093/nar/gkm952
PMid:17991681 PMCid:2238936
Hofacker IL, Fontana W, Stadler PF, Bonhoeffer LS, et al. (1994). Fast folding and comparison of RNA secondary structures. Monatshefte fur Chemie/Chemical Monthly 125: 167-188.
Jiang P, Wu H, Wang W, Ma W, et al. (2007). MiPred: classification of real and pseudo microRNA precursors using random forest prediction model with combined features. Nucleic Acids Res. 35: W339-W344.
doi:10.1093/nar/gkm368
PMid:17553836 PMCid:1933124
Moulton V, Zuker M, Steel M, Pointon R, et al. (2000). Metrics on RNA secondary structures. J. Comput. Biol. 7: 277-292.
doi:10.1089/10665270050081522
PMid:10890402
Nam JW, Shin KR, Han J, Lee Y, et al. (2005). Human microRNA prediction through a probabilistic co-learning model of sequence and structure. Nucleic Acids Res. 33: 3570-3581.
doi:10.1093/nar/gki668
PMid:15987789 PMCid:1159118
Ng KL and Mishra SK (2007). De novo SVM classification of precursor microRNAs from genomic pseudo hairpins using global and intrinsic folding measures. Bioinformatics 23: 1321-1330.
doi:10.1093/bioinformatics/btm026
PMid:17267435
Quinlan JR (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo.
Schultes EA, Hraber PT and LaBean TH (1999). Estimating the contributions of selection and self-organization in RNA secondary structure. J. Mol. Evol. 49: 76-83.
doi:10.1007/PL00006536
PMid:10368436
Seffens W and Digby D (1999). mRNAs have greater negative folding free energies than shuffled or codon choice randomized sequences. Nucleic Acids Res. 27: 1578-1584.
doi:10.1093/nar/27.7.1578
PMid:10075987 PMCid:148359
Sewer A, Paul N, Landgraf P, Aravin A, et al. (2005). Identification of clustered microRNAs using an ab initio prediction method. BMC Bioinformatics 6: 267.
doi:10.1186/1471-2105-6-267
PMid:16274478 PMCid:1315341
Xue C, Li F, He T, Liu GP, et al. (2005). Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine. BMC Bioinformatics 6: 310.
doi:10.1186/1471-2105-6-310
PMid:16381612 PMCid:1360673
Yousef M, Nebozhyn M, Shatkay H, Kanterakis S, et al. (2006). Combining multi-species genomic data for microRNA identification using a naive Bayes classifier. Bioinformatics 22: 1325-1334.
doi:10.1093/bioinformatics/btl094
PMid:16543277
Yousef M, Jung S, Showe LC and Showe MK (2008). Learning from positive examples when the negative class is undetermined - microRNA gene identification. Algorithms Mol. Biol. 3: 2.
doi:10.1186/1748-7188-3-2
PMid:18226233 PMCid:2248178
Zhang BH, Pan XP, Cox SB, Cobb GP, et al. (2006). Evidence that miRNAs are different from other RNAs. Cell Mol. Life Sci. 63: 246-254.
doi:10.1007/s00018-005-5467-7
PMid:16395542