Publications
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“Analyzing the association between XRCC1 c.1804C>A genetic variant and lung cancer susceptibility in the Chinese population”, vol. 15, p. -, 2016.
, “Analyzing the association between XRCC1 c.1804C>A genetic variant and lung cancer susceptibility in the Chinese population”, vol. 15, p. -, 2016.
, “Comparative quantitative trait locus mapping of maize flowering-related traits in an F2:3 and recombinant inbred line population”, vol. 15, p. -, 2016.
, “Comparative quantitative trait locus mapping of maize flowering-related traits in an F2:3 and recombinant inbred line population”, vol. 15, p. -, 2016.
, “Comparison of the antiplatelet effect of clopidogrel benzene sulfonate and clopidogrel hydrogen sulfate in stable coronary heart disease”, vol. 15, p. -, 2016.
, “Comparison of the antiplatelet effect of clopidogrel benzene sulfonate and clopidogrel hydrogen sulfate in stable coronary heart disease”, vol. 15, p. -, 2016.
, “Comparison of the antiplatelet effect of clopidogrel benzene sulfonate and clopidogrel hydrogen sulfate in stable coronary heart disease”, vol. 15, p. -, 2016.
, “Developmental methylation pattern regulates porcine GPR120 expression”, vol. 15, p. -, 2016.
, “Developmental methylation pattern regulates porcine GPR120 expression”, vol. 15, p. -, 2016.
, “Genetic analyses of the major and minor locus groups of bacterial wilt resistance in tobacco using a diallel cross design”, vol. 15, p. -, 2016.
, “Genetic analyses of the major and minor locus groups of bacterial wilt resistance in tobacco using a diallel cross design”, vol. 15, p. -, 2016.
, “Genetic analyses of the major and minor locus groups of bacterial wilt resistance in tobacco using a diallel cross design”, vol. 15, p. -, 2016.
, “Gynophore miRNA analysis at different developmental stages in Arachis duranensis”, vol. 15, no. 4, p. -, 2016.
, Conflicts of interestThe authors declare no conflict of interest.ACKNOWLEDGMENTSResearch supported by the Self-Directed Innovation Fund of Agricultural Science and Technology in Jiangsu Province, China (grant #CX(13)5006). We thank Gene Pioneer Biotechnologies for their help with the bioinformatic analyses. REFERENCESAllen E, Xie Z, Gustafson AM, Carrington JC, et al (2005). microRNA-directed phasing during trans-acting siRNA biogenesis in plants. Cell 121: 207-221. http://dx.doi.org/10.1016/j.cell.2005.04.004 Chen X, Zhu W, Azam S, Li H, et al (2013). Deep sequencing analysis of the transcriptomes of peanut aerial and subterranean young pods identifies candidate genes related to early embryo abortion. Plant Biotechnol. J. 11: 115-127. http://dx.doi.org/10.1111/pbi.12018 Chen X, Yang Q, Li H, Li H, et al (2016). Transcriptome-wide sequencing provides insights into geocarpy in peanut (Arachis hypogaea L.). Plant Biotechnol. J. 14: 1215-1224. http://dx.doi.org/10.1111/pbi.12487 Chen ZB, Wang ML, Barkley NA, Pittman RN, et al (2010). A simple allele-specific PCR assay for detecting FAD2 alleles in both A and B genomes of the cultivated peanut for high-oleate trait selection. Plant Mol. Biol. Rep. 28: 542-548. http://dx.doi.org/10.1007/s11105-010-0181-5 Chi X, Yang Q, Chen X, Wang J, et al (2011). Identification and characterization of microRNAs from peanut (Arachis hypogaea L.) by high-throughput sequencing. PLoS One 6: e27530. http://dx.doi.org/10.1371/journal.pone.0027530 Deng X, Li Z, Zhang W, et al (2012). Transcriptome sequencing of Salmonella enterica serovar Enteritidis under desiccation and starvation stress in peanut oil. Food Microbiol. 30: 311-315. http://dx.doi.org/10.1016/j.fm.2011.11.001 Du Z, Zhou X, Ling Y, Zhang Z, et al (2010). agriGO: a GO analysis toolkit for the agricultural community. Nucleic Acids Res. 38: W64-70. http://dx.doi.org/10.1093/nar/gkq310 Floyd SK, Bowman JL, et al (2004). Gene regulation: ancient microRNA target sequences in plants. Nature 428: 485-486. http://dx.doi.org/10.1038/428485a Griffiths-Jones S, et al (2006). miRBase: the microRNA sequence database. Methods Mol. Biol. 342: 129-138. Griffiths-Jones S, Moxon S, Marshall M, Khanna A, et al (2005). Rfam: annotating non-coding RNAs in complete genomes. Nucleic Acids Res. 33: D121-D124. http://dx.doi.org/10.1093/nar/gki081 Griffiths-Jones S, Grocock RJ, van Dongen S, Bateman A, et al (2006). miRBase: microRNA sequences, targets and gene nomenclature. Nucleic Acids Res. 34: D140-D144. http://dx.doi.org/10.1093/nar/gkj112 Griffiths-Jones S, Saini HK, van Dongen S, Enright AJ, et al (2008). miRBase: tools for microRNA genomics. Nucleic Acids Res. 36: D154-D158. http://dx.doi.org/10.1093/nar/gkm952 Herr AJ, et al (2005). Pathways through the small RNA world of plants. FEBS Lett. 579: 5879-5888. http://dx.doi.org/10.1016/j.febslet.2005.08.040 Lee RC, Feinbaum RL, Ambros V, et al (1993). The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell 75: 843-854. http://dx.doi.org/10.1016/0092-8674(93)90529-Y Li M, Zhao SZ, Zhao CZ, Zhang Y, et al. (2016). Cloning and characterization of SPL-family genes in the peanut (Arachis hypogaea L.). Genet. Mol. Res. 15: gmr.15017344. Mi S, Cai T, Hu Y, Chen Y, et al (2008). Sorting of small RNAs into Arabidopsis argonaute complexes is directed by the 5′ terminal nucleotide. Cell 133: 116-127. http://dx.doi.org/10.1016/j.cell.2008.02.034 Moctezuma E, et al (2003). The peanut gynophore: a developmental and physiological perspective. Can. J. Bot. 81: 183-190. http://dx.doi.org/10.1139/b03-024 Sunkar R, Jagadeeswaran G, et al (2008). In silico identification of conserved microRNAs in large number of diverse plant species. BMC Plant Biol. 8: 37. http://dx.doi.org/10.1186/1471-2229-8-37 Sunkar R, Zhou X, Zheng Y, Zhang W, et al (2008). Identification of novel and candidate miRNAs in rice by high throughput sequencing. BMC Plant Biol. 8: 25. http://dx.doi.org/10.1186/1471-2229-8-25 Vazquez F, et al (2006). Arabidopsis endogenous small RNAs: highways and byways. Trends Plant Sci. 11: 460-468. http://dx.doi.org/10.1016/j.tplants.2006.07.006 Wang C, Li C, Hou L, Liu X, et al (2013). Cloning and expression analysis of Gibberellin 2-Oxidase gene from peanut (Arachis hypogaea L). Shandong Agric. Sci. 45: 14-18. Xia H, Zhao C, Hou L, Li A, et al (2013). Transcriptome profiling of peanut gynophores revealed global reprogramming of gene expression during early pod development in darkness. BMC Genomics 14: 517. http://dx.doi.org/10.1186/1471-2164-14-517 Yao Y, Guo G, Ni Z, Sunkar R, et al (2007). Cloning and characterization of microRNAs from wheat (Triticum aestivum L.). Genome Biol. 8: R96. http://dx.doi.org/10.1186/gb-2007-8-6-r96 Zhang B, Pan X, Cannon CH, Cobb GP, et al (2006). Conservation and divergence of plant microRNA genes. Plant J. 46: 243-259. http://dx.doi.org/10.1111/j.1365-313X.2006.02697.x Zhao CZ, Xia H, Frazier TP, Yao YY, et al (2010). Deep sequencing identifies novel and conserved microRNAs in peanuts (Arachis hypogaea L.). BMC Plant Biol. 10: 3. http://dx.doi.org/10.1186/1471-2229-10-3 Zhao C, Zhao S, Hou L, Xia H, et al (2015). Proteomics analysis reveals differentially activated pathways that operate in peanut gynophores at different developmental stages. BMC Plant Biol. 15: 188. http://dx.doi.org/10.1186/s12870-015-0582-6 Zhu W, Zhang E, Li H, Chen X, et al (2013). Comparative proteomics analysis of developing peanut aerial and subterranean pods identifies pod swelling related proteins. J. Proteomics 91: 172-187. http://dx.doi.org/10.1016/j.jprot.2013.07.002 Zhu W, Chen X, Li H, Zhu F, et al (2014). Comparative transcriptome analysis of aerial and subterranean pods development provides insights into seed abortion in peanut. Plant Mol. Biol. 85: 395-409. http://dx.doi.org/10.1007/s11103-014-0193-x Zuker M, et al (2003). Mfold web server for nucleic acid folding and hybridization prediction. Nucleic Acids Res. 31: 3406-3415. http://dx.doi.org/10.1093/nar/gkg595
“Gynophore miRNA analysis at different developmental stages in Arachis duranensis”, vol. 15, no. 4, p. -, 2016.
, Conflicts of interestThe authors declare no conflict of interest.ACKNOWLEDGMENTSResearch supported by the Self-Directed Innovation Fund of Agricultural Science and Technology in Jiangsu Province, China (grant #CX(13)5006). We thank Gene Pioneer Biotechnologies for their help with the bioinformatic analyses. REFERENCESAllen E, Xie Z, Gustafson AM, Carrington JC, et al (2005). microRNA-directed phasing during trans-acting siRNA biogenesis in plants. Cell 121: 207-221. http://dx.doi.org/10.1016/j.cell.2005.04.004 Chen X, Zhu W, Azam S, Li H, et al (2013). Deep sequencing analysis of the transcriptomes of peanut aerial and subterranean young pods identifies candidate genes related to early embryo abortion. Plant Biotechnol. J. 11: 115-127. http://dx.doi.org/10.1111/pbi.12018 Chen X, Yang Q, Li H, Li H, et al (2016). Transcriptome-wide sequencing provides insights into geocarpy in peanut (Arachis hypogaea L.). Plant Biotechnol. J. 14: 1215-1224. http://dx.doi.org/10.1111/pbi.12487 Chen ZB, Wang ML, Barkley NA, Pittman RN, et al (2010). A simple allele-specific PCR assay for detecting FAD2 alleles in both A and B genomes of the cultivated peanut for high-oleate trait selection. Plant Mol. Biol. Rep. 28: 542-548. http://dx.doi.org/10.1007/s11105-010-0181-5 Chi X, Yang Q, Chen X, Wang J, et al (2011). Identification and characterization of microRNAs from peanut (Arachis hypogaea L.) by high-throughput sequencing. PLoS One 6: e27530. http://dx.doi.org/10.1371/journal.pone.0027530 Deng X, Li Z, Zhang W, et al (2012). Transcriptome sequencing of Salmonella enterica serovar Enteritidis under desiccation and starvation stress in peanut oil. Food Microbiol. 30: 311-315. http://dx.doi.org/10.1016/j.fm.2011.11.001 Du Z, Zhou X, Ling Y, Zhang Z, et al (2010). agriGO: a GO analysis toolkit for the agricultural community. Nucleic Acids Res. 38: W64-70. http://dx.doi.org/10.1093/nar/gkq310 Floyd SK, Bowman JL, et al (2004). Gene regulation: ancient microRNA target sequences in plants. Nature 428: 485-486. http://dx.doi.org/10.1038/428485a Griffiths-Jones S, et al (2006). miRBase: the microRNA sequence database. Methods Mol. Biol. 342: 129-138. Griffiths-Jones S, Moxon S, Marshall M, Khanna A, et al (2005). Rfam: annotating non-coding RNAs in complete genomes. Nucleic Acids Res. 33: D121-D124. http://dx.doi.org/10.1093/nar/gki081 Griffiths-Jones S, Grocock RJ, van Dongen S, Bateman A, et al (2006). miRBase: microRNA sequences, targets and gene nomenclature. Nucleic Acids Res. 34: D140-D144. http://dx.doi.org/10.1093/nar/gkj112 Griffiths-Jones S, Saini HK, van Dongen S, Enright AJ, et al (2008). miRBase: tools for microRNA genomics. Nucleic Acids Res. 36: D154-D158. http://dx.doi.org/10.1093/nar/gkm952 Herr AJ, et al (2005). Pathways through the small RNA world of plants. FEBS Lett. 579: 5879-5888. http://dx.doi.org/10.1016/j.febslet.2005.08.040 Lee RC, Feinbaum RL, Ambros V, et al (1993). The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell 75: 843-854. http://dx.doi.org/10.1016/0092-8674(93)90529-Y Li M, Zhao SZ, Zhao CZ, Zhang Y, et al. (2016). Cloning and characterization of SPL-family genes in the peanut (Arachis hypogaea L.). Genet. Mol. Res. 15: gmr.15017344. Mi S, Cai T, Hu Y, Chen Y, et al (2008). Sorting of small RNAs into Arabidopsis argonaute complexes is directed by the 5′ terminal nucleotide. Cell 133: 116-127. http://dx.doi.org/10.1016/j.cell.2008.02.034 Moctezuma E, et al (2003). The peanut gynophore: a developmental and physiological perspective. Can. J. Bot. 81: 183-190. http://dx.doi.org/10.1139/b03-024 Sunkar R, Jagadeeswaran G, et al (2008). In silico identification of conserved microRNAs in large number of diverse plant species. BMC Plant Biol. 8: 37. http://dx.doi.org/10.1186/1471-2229-8-37 Sunkar R, Zhou X, Zheng Y, Zhang W, et al (2008). Identification of novel and candidate miRNAs in rice by high throughput sequencing. BMC Plant Biol. 8: 25. http://dx.doi.org/10.1186/1471-2229-8-25 Vazquez F, et al (2006). Arabidopsis endogenous small RNAs: highways and byways. Trends Plant Sci. 11: 460-468. http://dx.doi.org/10.1016/j.tplants.2006.07.006 Wang C, Li C, Hou L, Liu X, et al (2013). Cloning and expression analysis of Gibberellin 2-Oxidase gene from peanut (Arachis hypogaea L). Shandong Agric. Sci. 45: 14-18. Xia H, Zhao C, Hou L, Li A, et al (2013). Transcriptome profiling of peanut gynophores revealed global reprogramming of gene expression during early pod development in darkness. BMC Genomics 14: 517. http://dx.doi.org/10.1186/1471-2164-14-517 Yao Y, Guo G, Ni Z, Sunkar R, et al (2007). Cloning and characterization of microRNAs from wheat (Triticum aestivum L.). Genome Biol. 8: R96. http://dx.doi.org/10.1186/gb-2007-8-6-r96 Zhang B, Pan X, Cannon CH, Cobb GP, et al (2006). Conservation and divergence of plant microRNA genes. Plant J. 46: 243-259. http://dx.doi.org/10.1111/j.1365-313X.2006.02697.x Zhao CZ, Xia H, Frazier TP, Yao YY, et al (2010). Deep sequencing identifies novel and conserved microRNAs in peanuts (Arachis hypogaea L.). BMC Plant Biol. 10: 3. http://dx.doi.org/10.1186/1471-2229-10-3 Zhao C, Zhao S, Hou L, Xia H, et al (2015). Proteomics analysis reveals differentially activated pathways that operate in peanut gynophores at different developmental stages. BMC Plant Biol. 15: 188. http://dx.doi.org/10.1186/s12870-015-0582-6 Zhu W, Zhang E, Li H, Chen X, et al (2013). Comparative proteomics analysis of developing peanut aerial and subterranean pods identifies pod swelling related proteins. J. Proteomics 91: 172-187. http://dx.doi.org/10.1016/j.jprot.2013.07.002 Zhu W, Chen X, Li H, Zhu F, et al (2014). Comparative transcriptome analysis of aerial and subterranean pods development provides insights into seed abortion in peanut. Plant Mol. Biol. 85: 395-409. http://dx.doi.org/10.1007/s11103-014-0193-x Zuker M, et al (2003). Mfold web server for nucleic acid folding and hybridization prediction. Nucleic Acids Res. 31: 3406-3415. http://dx.doi.org/10.1093/nar/gkg595
“Management of clinically negative nodes (N0) in supraglottic laryngeal carcinoma: A systematic review”, vol. 15, no. 4, p. -, 2016.
, Conflicts of interestThe authors declare no conflict of interest.REFERENCESAmerican Cancer Society (2013). Cancer facts & figures: 2013. American Cancer Society, Atlanta. Arens C, et al (2012). Transoral treatment strategies for head and neck tumors. GMS Curr. Top. Otorhinolaryngol. Head Neck Surg. 11: Doc05. Brazilian Head and Neck Cancer Study Groupet al (1999). End results of a prospective trial on elective lateral neck dissection vs type III modified radical neck dissection in the management of supraglottic and transglottic carcinomas. Head Neck 21: 694-702. http://dx.doi.org/10.1002/(SICI)1097-0347(199912)21:8<694::AID-HED3>3.0.CO;2-B Canis M, Martin A, Ihler F, Wolff HA, et al (2013). Results of transoral laser microsurgery for supraglottic carcinoma in 277 patients. Eur. Arch. Otorhinolaryngol. 270: 2315-2326. http://dx.doi.org/10.1007/s00405-012-2327-6 Chawla S, Carney AS, et al (2009). Organ preservation surgery for laryngeal cancer. Head Neck Oncol. 1: 12-15. http://dx.doi.org/10.1186/1758-3284-1-12 Li A, Liang H, Li W, Wang Z, et al (2013). Spectral CT imaging of laryngeal and hypopharyngeal squamous cell carcinoma: evaluation of image quality and status of lymph nodes. PLoS One 8: e83492. http://dx.doi.org/10.1371/journal.pone.0083492 Li JZ, Gao W, Chan JY, Ho WK, et al (2012). Hypoxia in head and neck squamous cell carcinoma. ISRN Otolaryngol. 2012: 708974. http://dx.doi.org/10.5402/2012/708974 Liu J, et al (2001). Evaluation of the system of non-randomized studies. Chinese Journal of Evidence-Based Medicine 1: 239-243. McLeod RS, et al (1999). Issues in surgical randomized controlled trials. World J. Surg. 23: 1210-1214. http://dx.doi.org/10.1007/s002689900649 Mutlu V, Ucuncu H, Altas E, Aktan B, et al (2014). The relationship between the localization, size, stage and histopathology of the primary laryngeal tumor with neck metastasis. Eurasian J Med 46: 1-7. http://dx.doi.org/10.5152/eajm.2014.01 Orús C, León X, Vega M, Quer M, et al (2000). Initial treatment of the early stages (I, II) of supraglottic squamous cell carcinoma: partial laryngectomy versus radiotherapy. Eur. Arch. Otorhinolaryngol. 257: 512-516. http://dx.doi.org/10.1007/s004050000276 Parmar MKB, Torri V, Stewart L, et al (1998). Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints. Stat. Med. 17: 2815-2834. http://dx.doi.org/10.1002/(SICI)1097-0258(19981230)17:24<2815::AID-SIM110>3.0.CO;2-8 Pillsbury HC3rdClarkM, et al (1997). A rationale for therapy of the N0 neck. Laryngoscope 107: 1294-1315. http://dx.doi.org/10.1097/00005537-199710000-00004 Redaelli de Zinis LO, Nicolai P, Barezzani MG, Tomenzoli D, et al (1994). Incidence and distribution of lymph node metastases in supraglottic squamous cell carcinoma: therapeutic implications. Acta. Otorhinolaryngol. Ital. 14: 19-27.Sessions DG, Lenox J and Spector GJ (2005). Supraglottic laryngeal cancer: analysis of treatment results. Laryngoscope 115: 1402-1410. Ji W, Yu J, Guan C, et al (2001). Pathologic features of occult lymphatic metastasis in supraglottic carcinoma. Chin. Med. J. (Engl.) 114: 88-89. Sessions DG, Lenox J, Spector GJ, et al (2005). Supraglottic laryngeal cancer: analysis of treatment results. Laryngoscope 115: 1402-1410. http://dx.doi.org/10.1097/01.MLG.0000166896.67924.B7 Siegel R, Naishadham D, Jemal A, et al (2013). Cancer statistics, 2013. CA Cancer J. Clin. 63: 11-30. http://dx.doi.org/10.3322/caac.21166 Spriano G, Antognoni P, Piantanida R, Varinelli D, et al (1997). Conservative management of T1-T2N0 supraglottic cancer: a retrospective study. Am. J. Otolaryngol. 18: 299-305. http://dx.doi.org/10.1016/S0196-0709(97)90023-5 Tantiwongkosi B, Yu F, Kanard A, Miller FR, et al (2014). Role of (18)F-FDG PET/CT in pre and post treatment evaluation in head and neck carcinoma. World J. Radiol. 6: 177-191. http://dx.doi.org/10.4329/wjr.v6.i5.177 Zhang H (2009). Dissection in the management of the clinically negative neck (N_0) supraglottic laryngeal squamous cell carcinoma. Available at [http://cdmd.cnki. com.cn/Article/CDMD-10114-2009123560.htm].
“Toll-like receptor-4-dependence of the lipopolysaccharide-mediated inhibition of osteoblast differentiation”, vol. 15, p. -, 2016.
, , , “Effect of skeletal muscle fibers on porcine meat quality at different stages of growth”, vol. 14, pp. 7873-7882, 2015.
, “Effects of cetuximab combined with afatinib on the expression of KDR and AQP1 in lung cancer”, vol. 14, pp. 16652-16661, 2015.
, “Effects of kinase insert domain receptor (KDR) gene silencing on the sensitivity of A549 cells to erlotinib”, vol. 14, pp. 15073-15080, 2015.
, “Influence of sugars and hormones on the genes involved in sucrose metabolism in maize endosperms”, vol. 14, pp. 1671-1678, 2015.
, “Inheritance of balanced translocation t(17; 22) from a Down syndrome mother to a phenotypically normal daughter”, vol. 14, pp. 10267-10272, 2015.
, “Isolation and characterization of polymorphic microsatellite markers in Bagarius yarrelli using RNA-Seq”, vol. 14, pp. 16308-16311, 2015.
, “Microvascular remodeling of nasal mucosa in allergic rhinitis induced by an allergen in Sprague-Dawley rats”, vol. 14, pp. 11624-11630, 2015.
, “Analysis of the dynamic changes in the soft palate and uvula in obstructive sleep apnea-hypopnea using ultrafast magnetic resonance imaging”, vol. 13, pp. 8596-8608, 2014.
, “Gene polymorphisms associated with susceptibility to coronary artery disease in Han Chinese people”, vol. 13, pp. 2619-2627, 2014.
, “Genetic variations in MOV10 and CACNB2 are associated with hypertension in a Chinese Han population”, vol. 12, pp. 6220-6227, 2013.
, “Analysis of the role of hMLH1 hypermethylation and microsatellite instability in meningioma progression”, vol. 11, pp. 3933-3941, 2012.
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