Awardee OrganizationUNIVERSITY OF ALABAMA AT BIRMINGHAM
Description
Abstract Text
Project Summary:
The strategy of selective killing cancer cells while sparing healthy cells holds great promise for cancer therapy,
but its effective implementation remains a formidable challenge for numerous cancer types. Targeted therapies
have so far primarily focused on inhibiting or modulating the activity of proteins that help cancer cells survive or
proliferate, rather than directly targeting the mutations in driver genes. This proposal seeks to bridge this critical
void by introducing and evaluating a novel approach. Its primary goal is to assess a method harnessing
engineered catalytic RNA molecules, known as ribozymes, for the specific killing of cells expressing mRNA of
cancer genes with certain cancer driver mutations. In addition, it will test our recently developed combinatorial
method (RABADOCS) for optimizing ribozyme sequences by sampling millions of variants to identify the most
specific and sufficiently efficient ones.
We will use group I intron ribozymes from the species Tetrahymena thermophila that can be re-engineered to
specifically recognize a splice site on a targeted mRNA and replace the 3'-portion of that RNA with a sequence
provided by the ribozyme. These ribozymes require a U (uridine) at the target’s splice site and are inactive when
this U is absent. This will allow the ribozymes to differentiate between mutant and wild type target mRNA and
ultimately between cancer and healthy cells. Our ribozymes will mediate cell killing by replacing the 3'-portion of
the target mRNA with a sequence encoding a cytotoxic peptide in-frame. Translation of spliced mRNAs will then
induce death for cells expressing the mutant mRNA.
As a proof of concept, we will develop and optimize trans-splicing ribozymes that kill cells containing the JAK2
mutation V617F (c.1849G>T), which is the most common driver mutation in classical myeloproliferative
neoplasms (MPNs). Aim 1 will optimize the ribozyme’s trans-splicing efficiency and specificity independent of
any toxin sequence. The ribozyme’s external guide sequence will be optimized by employing ribozyme libraries
and selecting the best variants using RABADOCS. In parallel, aim 2 will test several toxin peptides that are
translated from constructs with the same sequence as ribozyme splice products. The results will identify
ribozyme-mediated toxicities that maximize the desired killing while minimizing off-target killing. Lastly, in Aim 3
the most promising ribozymes and toxin sequences will be tested in murine hematopoietic stem-cell like cells
(HPC-7) expressing wild-type JAK2 and/or JAK2V617F.
We hypothesize that our combinatorial approach will yield ribozymes with high target sensitivity and specificity,
providing the proof of concept that ribozyme-mediated targeted killing of cancer cells can be achieved. As a by-
product, our study may provide the groundwork for a novel therapeutic strategy for JAK2V617F-driven MPNs.
Public Health Relevance Statement
Project Narrative:
This research project focuses on developing and optimizing ribozymes for the selective killing of cancer cells carrying
specific driver mutations, using the JAK2-V617F driver mutation in myeloproliferative neoplasms as a proof-of-principle.
The proposed work uses a combinatorial approach called RABADOCS to identify highly specific and efficient ribozyme
variants that can trans-splice and replace target mRNA sequences with a sequence encoding a cytotoxic peptide, inducing
cell death in cancer cells while sparing healthy ones. The ultimate goal of this three-year project is to demonstrate the
feasibility of using these engineered ribozymes as a novel therapeutic strategy for treating myeloproliferative neoplasms
and potentially other cancers with prevalent missense mutations, offering a promising avenue for precision cancer
treatment.
National Institute of Biomedical Imaging and Bioengineering
CFDA Code
286
DUNS Number
063690705
UEI
YND4PLMC9AN7
Project Start Date
01-August-2024
Project End Date
31-May-2027
Budget Start Date
01-August-2024
Budget End Date
31-May-2025
Project Funding Information for 2024
Total Funding
$185,133
Direct Costs
$137,025
Indirect Costs
$48,108
Year
Funding IC
FY Total Cost by IC
2024
National Institute of Biomedical Imaging and Bioengineering
$185,133
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 1R21EB036277-01
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