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NEWSLETTER                                                                                               NEWSLETTER
 SEPTEMBER   02-3.  幹細胞與轉譯癌症 研究所                                                                           SEPTEMBER

 2018                                                                                                             2018



 (1) 撰稿者:游正博特聘講座教授暨所長   Identification of these peptides enabled us to delineate the GRP78 binding motif as

 John Yu, M.D., Ph.D.  Pro-X1-Leu-X2, where X1 is an amino acid with a hydrophobic side chain, and X2 is
     either Pro or an aromatic amino acid.


     We further examined the ability of

 Structure-based design for binding peptides in anti-cancer therapy.  the peptides to target cancer cells
     through in vitro binding studies with

 The conventional anticancer therapeutics usually lack cancer specificity, leading   cell lines and clinical cancer specimens,
 to damage of normal tissues. Ideally, anticancer therapeutics carrying payloads of   and in vivo tumor imaging and

 drugs equipped with cancer targeting peptides can act like “guided missiles” with the   targeted chemotherapeutic studies.
 capacity of targeted delivery toward many types of cancers. Peptides are amenable   MicroSPECT/CT imaging revealed

 for conjugation to many payloads for functionalization, thereby improving drug   significantly greater uptake of  188Re-

 delivery and cellular uptake in cancer-targeting therapies (Biomaterials 2018, 156   liposomes linked to these peptides as
 1-15). In these studies, the development and application of strategies for structure-  compared with non-targeting 188Re-

 based design of cancer-targeting peptides against GRP78 are explored through   liposomes at 48 hours after injection.

 molecular docking and in silico analysis.We investigate the peptide pharmacokinetics   Conjugation with these peptides also
 and targeting delivery, including molecular docking studies, features that provide   significantly increased the therapeutic

 advantages for in vivo use, and properties that influence the cancer-targeting ability.   efficacy of Lipo-Dox.

 Currently, we are   Notably, these peptides could bind to a stem cell subpopulation in xenografts of
 developing new anti-  primary breast cancer. The structure-based optimization strategy for protein-binding

 cancer therapeutics   peptides described here may be useful for developing peptide drugs for cancer imaging

 conjugated with this   and therapy.
 cancer targeting

 peptides.   Extracellular location of the peptide-binding domain of GRP78 on cancer cells:


     In order to examine that whether the peptide binding domain of GRP78 is exposed
  Structure-based optimization of GRP78-binding peptides that enhances efficacy in   extracellularly, we developed a detecting method using cell-surface biotinylation and
 cancer imaging and therapy.   mass-spec analysis. The biotinylated GRP78 on the cell surface was purified using

 (Biomaterials 2016, 94:31; Biomaterials 2018, 156: 1-15)
     streptavidin column followed by in-gel chymotrypsin digestion. The resulting peptides
 We first utilized a peptide-binding protein database to identify GRP78 as a target   were examined by C18 reverse-phase nano-liquid chromatography coupled to an

 protein for a cancer cell-binding lead peptide. Subsequently, we used homologous   Orbitrap Fusion tandem mass spectrometer run in data-dependent MS/MS mode.

 modeling and molecular docking, and a new protein-ligand scoring program, HotLig,   By comparing the fragmentation pattern of  a biotinylated peptide with in silico
 to identify a series of anti-cancer peptides targeting a specific peptide-binding domain   fragmentation pattern of  the unmodified peptide, the site of  biotinylation can be

 of GRP78. Binding of these peptides to GRP78 was confirmed and optimized using an   assigned to a specific lysine residue. Tandem mass spectra such as this allowed us to
 oriented immobilization technique for the Biacore system.   determine sites of biotinylation on the GRP78 proteins.





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