title: [Selection and identification of specific-binding peptides for cancer stem cell surface marker CD133].
abstract: OBJECTIVE
  To select the peptides that specifically bind human cancer stem cell surface marker CD133 from the Ph.D.-7>(TM) phage peptide library.
  
  
  METHODS
  With a biotinylated extracellular fragment of human cancer stem cell surface marker CD133 as the target protein, the CD133 high-affinity peptides were screened from the phage peptide library by liquid phase panning. The clones with high-binding force with human CD133 were then identified by sandwich ELISA and their single-stranded DNA was extracted to test the specificity by competitive ELISA. The amino acid sequences of the selected peptides derived from the phage DNA sequences were synthesized after sequence alignment analysis, and their capacity of binding with colorectal carcinoma cells was assessed by immunofluorescence technique.
  
  
  RESULTS
  After 4 rounds of liquid phase selection, the phages capable of specific binding with human CD133 were effectively enriched, with an enrichment ratio of 388 times compared to that at the fourth and first rounds. Thirteen out of the 20 clones from the fourth round of panning were identified as positive clones, among which 11 had identical amino acid sequence of TISWPPR, and 2 had the sequence of STTKLAL, and the former sequence showed a stronger binding specificity to CD133.
  
  
  CONCLUSIONS
  We have successfully obtained a peptide that specifically binds human CD133 from the Ph.D.-7(TM) phage peptide library, demonstrating the feasibility of screening small molecule high-affinity polypeptides from phage peptide library by liquid-phase panning.
authors: Department of Pathology, Southern Medical University, Guangzhou, China.
authors: Ping-ge
authors: PG
authors: Tian
authors: Chun-ping
authors: CP
authors: Zhou
authors: Chao
authors: C
authors: Zhang
authors: Hui
authors: H
authors: Yang
authors: Xiao-jin
authors: XJ
authors: Wu
authors: Yan-xia
authors: YX
authors: Lu
authors: Guo-bing
authors: GB
authors: Liu
authors: Xue-nong
authors: XN
authors: Li