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De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
Published on: February 18, 2022
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Ribosome profiling shows variable sensitivity to detect open reading frames for conventional and different types of
Kyra J Fuchs1, Sofia Thomaidou2, Arno R van der Slik2
1Department of Hematology, Leiden University Medical Center, Leiden, the Netherlands.
Molecular Therapy. Methods & Clinical Development
|January 15, 2025
Summary
Ribosome profiling effectively detects novel T cell cryptic antigens from upstream open reading frames (ORFs), crucial for cancer immunotherapy. However, it struggles with detecting antigens from out-of-frame ORFs and long non-coding RNAs.
Area of Science:
- Immunology
- Genomics
- Proteomics
Background:
- T cell-based immunotherapies are vital anti-cancer treatments targeting tumor antigens.
- Conventional screening methods for neoantigens and minor histocompatibility antigens focus on canonical open reading frames (ORFs).
- Unconventional ORFs encoding peptides outside the known proteome represent a significant source of cryptic antigens for anti-tumor responses.
Purpose of the Study:
- To evaluate the sensitivity of ribosome profiling in detecting various types of T cell antigen ORFs.
- To compare the detection capabilities of ribosome profiling for canonical versus cryptic antigens.
Main Methods:
- Utilized a recently expanded repertoire of human leukocyte antigen (HLA) class I-restricted minor histocompatibility antigens from allogeneic stem cell transplantation patients.
- Employed a ribosome profiling method unbiased by antigen type to identify ORFs.
- Analyzed the sensitivity of ribosome profiling for detecting canonical ORFs, upstream ORFs, out-of-frame ORFs, and ORFs in long non-coding RNAs.
Main Results:
- Ribosome profiling demonstrated high sensitivity in detecting upstream ORFs, similar to canonical ORFs for conventional antigens.
- Detection of cryptic antigens within out-of-frame ORFs and ORFs in long non-coding RNAs was largely unsuccessful.
- Significant variability in ribosome profiling sensitivity was observed across different ORF types.
Conclusions:
- Ribosome profiling is a sensitive tool for identifying certain types of T cell cryptic antigens, particularly those originating from upstream ORFs.
- The method's effectiveness is limited for cryptic antigens encoded by out-of-frame ORFs and long non-coding RNAs.
- Further optimization is needed to enhance the detection of all cryptic T cell antigen sources using ribosome profiling.
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