A Ribosome-inactivating Protein Toxin as a Template for Cancer Drug Discovery
Cancer cells display aberrant receptors on their surface that can serve as targets for the development of directed drug therapies. As such, our group has utilized two parallel approaches to redirect the cytotoxic properties of a ribosome-inactivating protein (RIP), Shiga-Like Toxin 1 (SLT 1), by alt...
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ndltd-TORONTO-oai-tspace.library.utoronto.ca-1807-339522013-04-19T19:58:21ZA Ribosome-inactivating Protein Toxin as a Template for Cancer Drug DiscoveryCheung, MelissaBiomarkerCancerToxinTargeted-TherapyShiga-like Toxin 1Combinatorial Library0307Cancer cells display aberrant receptors on their surface that can serve as targets for the development of directed drug therapies. As such, our group has utilized two parallel approaches to redirect the cytotoxic properties of a ribosome-inactivating protein (RIP), Shiga-Like Toxin 1 (SLT 1), by altering its receptor specificity to target and kill cancer cells. The first combinatorial protein library was constructed such that a randomized 7 AA long peptide was inserted within the cytotoxic domain (A chain) of SLT-1. A high-throughput protein-based screening campaign identified a novel A chain toxin variant (named SLT 1AIYSNKLM) capable of targeting and killing human melanoma cells. This variant harbours a peptide insert (IYSNKLM) that directs the A chain to kill human melanoma cell lines. Equilibrium binding studies using 125I-radiolabeled SLT-1AIYSNKLM were conducted to determine the equilibrium binding constant and receptor density on 518-A2 human melanoma cells. When injected into SCID mice bearing a human melanoma xenograft, nanoSPECT/CT imaging as well as the biodistribution profile showed marked tumour uptake and retention of the radiolabeled toxin variant. Furthermore, preliminary experiments have shown that the SLT-1AIYSNKLM receptor is a protein, highlighting the potential for this method to be used in the discovery of novel biomarkers. A second approach was employed to demonstrate that our toxin-based combinatorial library system can be adapted to target known cancer biomarkers. Specifically, SLT-1 A chain variants harbouring 12-residue inserts were expressed in a phage display library. The library was screened against cell lines expressing the human colon cancer marker carcinoembryonic antigen (CEA; CD66e; CEACAM-5) to identify candidates that not only targeted, but internalized into cancer cells within a 1 h period. Variant, CSTA-10, was found to kill CEA-expressing BxPC-3 cells. Overall, the directed evolution of an RIP template such as SLT-1 represents a novel and powerful strategy for the identification of tumour-targeted toxin variants.Gariepy, Jean2012-112012-12-10T21:11:42ZNO_RESTRICTION2012-12-10T21:11:42Z2012-12-10Thesishttp://hdl.handle.net/1807/33952en_ca |
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Biomarker Cancer Toxin Targeted-Therapy Shiga-like Toxin 1 Combinatorial Library 0307 |
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Biomarker Cancer Toxin Targeted-Therapy Shiga-like Toxin 1 Combinatorial Library 0307 Cheung, Melissa A Ribosome-inactivating Protein Toxin as a Template for Cancer Drug Discovery |
description |
Cancer cells display aberrant receptors on their surface that can serve as targets for the development of directed drug therapies. As such, our group has utilized two parallel approaches to redirect the cytotoxic properties of a ribosome-inactivating protein (RIP), Shiga-Like Toxin 1 (SLT 1), by altering its receptor specificity to target and kill cancer cells.
The first combinatorial protein library was constructed such that a randomized 7 AA long peptide was inserted within the cytotoxic domain (A chain) of SLT-1. A high-throughput protein-based screening campaign identified a novel A chain toxin variant (named SLT 1AIYSNKLM) capable of targeting and killing human melanoma cells. This variant harbours a peptide insert (IYSNKLM) that directs the A chain to kill human melanoma cell lines. Equilibrium binding studies using 125I-radiolabeled SLT-1AIYSNKLM were conducted to determine the equilibrium binding constant and receptor density on 518-A2 human melanoma cells. When injected into SCID mice bearing a human melanoma xenograft, nanoSPECT/CT imaging as well as the biodistribution profile showed marked tumour uptake and retention of the radiolabeled toxin variant. Furthermore, preliminary experiments have shown that the SLT-1AIYSNKLM receptor is a protein, highlighting the potential for this method to be used in the discovery of novel biomarkers.
A second approach was employed to demonstrate that our toxin-based combinatorial library system can be adapted to target known cancer biomarkers. Specifically, SLT-1 A chain variants harbouring 12-residue inserts were expressed in a phage display library. The library was screened against cell lines expressing the human colon cancer marker carcinoembryonic antigen (CEA; CD66e; CEACAM-5) to identify candidates that not only targeted, but internalized into cancer cells within a 1 h period. Variant, CSTA-10, was found to kill CEA-expressing BxPC-3 cells. Overall, the directed evolution of an RIP template such as SLT-1 represents a novel and powerful strategy for the identification of tumour-targeted toxin variants. |
author2 |
Gariepy, Jean |
author_facet |
Gariepy, Jean Cheung, Melissa |
author |
Cheung, Melissa |
author_sort |
Cheung, Melissa |
title |
A Ribosome-inactivating Protein Toxin as a Template for Cancer Drug Discovery |
title_short |
A Ribosome-inactivating Protein Toxin as a Template for Cancer Drug Discovery |
title_full |
A Ribosome-inactivating Protein Toxin as a Template for Cancer Drug Discovery |
title_fullStr |
A Ribosome-inactivating Protein Toxin as a Template for Cancer Drug Discovery |
title_full_unstemmed |
A Ribosome-inactivating Protein Toxin as a Template for Cancer Drug Discovery |
title_sort |
ribosome-inactivating protein toxin as a template for cancer drug discovery |
publishDate |
2012 |
url |
http://hdl.handle.net/1807/33952 |
work_keys_str_mv |
AT cheungmelissa aribosomeinactivatingproteintoxinasatemplateforcancerdrugdiscovery AT cheungmelissa ribosomeinactivatingproteintoxinasatemplateforcancerdrugdiscovery |
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1716582251201822720 |