title: [High resolution melting curve method for detection of BIM deletion].
abstract: BACKGROUND
  The aim of this study is to establish a HRM (high resolution melting curve) method for detection of deletion in human BIM gene and to detect this site deletion with the above method in 30 lung cancer samples and 30 normal samples.
  
  
  METHODS
  The primers for detection of BIM deletion were designed and synthesized. The HRM method for geng deletion was established. And select the part of samples to detect BIM delection by normal PCR and sequencing assay. The Tm value of wild type PCR products was higher than that of the deletion PCR products. The difference of the corresponding Tm value is 2.5 oC.
  
  
  RESULTS
  By detection with HRM methods, 1 samples were confirmed to be mutant, 7 samples were confirmed to be heterozygous and the other 22 samples were all wild type in the lung cancer samples. 2 samples were confirmed to be heterozygous and the other 28 samples were all wild type in the normal samples.
  
  
  CONCLUSIONS
  The HRM method for detection of BIM deletion established in this study is a sensitive, accurate, simple and high throughput method.
authors.affiliation: Department of Respiratory Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiaotong University,  Shanghai 200030, China.
authors.forename: Jinjing
authors.initials: J
authors.lastname: Xia
authors.affiliation: Department of Respiratory Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiaotong University,  Shanghai 200030, China.
authors.forename: Hao
authors.initials: H
authors.lastname: Bai
authors.affiliation: Department of Respiratory Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiaotong University,  Shanghai 200030, China.
authors.forename: Liwen
authors.initials: L
authors.lastname: Xiong
authors.affiliation: Department of Respiratory Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiaotong University,  Shanghai 200030, China.
authors.forename: Rong
authors.initials: R
authors.lastname: Li
authors.affiliation: Department of Respiratory Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiaotong University,  Shanghai 200030, China.
authors.forename: Bo
authors.initials: B
authors.lastname: Yan
authors.affiliation: Department of Respiratory Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiaotong University,  Shanghai 200030, China.
authors.forename: Minhua
authors.initials: M
authors.lastname: Shao
authors.affiliation: Department of Respiratory Medicine, Shanghai Chest Hospital, School of Medicine, Shanghai Jiaotong University,  Shanghai 200030, China.
authors.forename: Baohui
authors.initials: B
authors.lastname: Han
mesh_terms: D051017:Apoptosis Regulatory Proteins / Q000235:genetics*; D001483:Base Sequence; D000072224:Bcl-2-Like Protein 11; D005821:Genetic Techniques; D006801:Humans; D008175:Lung Neoplasms / Q000175:diagnosis / Q000235:genetics* / Q000378:metabolism; D008565:Membrane Proteins / Q000235:genetics*; D008969:Molecular Sequence Data; D009154:Mutation; D016133:Polymerase Chain Reaction; D011518:Proto-Oncogene Proteins / Q000235:genetics*; D017384:Sequence Deletion; D044366:Transition Temperature
chemical_list: D051017:Apoptosis Regulatory Proteins; C000606775:BCL2L11 protein, human; D000072224:Bcl-2-Like Protein 11; D008565:Membrane Proteins; D011518:Proto-Oncogene Proteins