Literature DB >> 28823056

Exploiting non-canonical translation to identify new targets for T cell-based cancer immunotherapy.

Céline M Laumont1,2, Claude Perreault3,4,5.   

Abstract

Cryptic MHC I-associated peptides (MAPs) are produced via two mechanisms: translation of protein-coding genes in non-canonical reading frames and translation of allegedly non-coding sequences. In general, cryptic MAPs are coded by relatively short open reading frames whose translation can be regulated at the level of initiation, elongation or termination. In contrast to conventional MAPs, the processing of cryptic MAPs is frequently proteasome independent. The existence of cryptic MAPs derived from allegedly non-coding regions enlarges the scope of CD8 T cell immunosurveillance from a mere ~2% to as much as ~75% of the human genome. Considering that 99% of cancer-specific mutations are located in those allegedly non-coding regions, cryptic MAPs could furthermore represent a particularly rich source of tumor-specific antigens. However, extensive proteogenomic analyses will be required to determine the breath as well as the temporal and spatial plasticity of the cryptic MAP repertoire in normal and neoplastic cells.

Entities:  

Keywords:  Antigen presentation; Antigen processing; Cytotoxic T cells; Major histocompatibility complex class I; Neoantigens; Protein synthesis

Mesh:

Year:  2017        PMID: 28823056     DOI: 10.1007/s00018-017-2628-4

Source DB:  PubMed          Journal:  Cell Mol Life Sci        ISSN: 1420-682X            Impact factor:   9.261


  156 in total

1.  Deletion of immunoproteasome subunits imprints on the transcriptome and has a broad impact on peptides presented by major histocompatibility complex I molecules.

Authors:  Danielle de Verteuil; Tara L Muratore-Schroeder; Diana P Granados; Marie-Hélène Fortier; Marie-Pierre Hardy; Alexandre Bramoullé; Etienne Caron; Krystel Vincent; Sylvie Mader; Sébastien Lemieux; Pierre Thibault; Claude Perreault
Journal:  Mol Cell Proteomics       Date:  2010-05-19       Impact factor: 5.911

Review 2.  Limitations and pitfalls in protein identification by mass spectrometry.

Authors:  Gert Lubec; Leila Afjehi-Sadat
Journal:  Chem Rev       Date:  2007-07-24       Impact factor: 60.622

3.  Source of unique tumour antigens.

Authors:  A Townsend; C Ohlén; M Rogers; J Edwards; S Mukherjee; J Bastin
Journal:  Nature       Date:  1994-10-20       Impact factor: 49.962

4.  Soluble tapasin restores MHC class I expression and function in the tapasin-negative cell line .220.

Authors:  P J Lehner; M J Surman; P Cresswell
Journal:  Immunity       Date:  1998-02       Impact factor: 31.745

5.  A functional -1 ribosomal frameshift signal in the human paraneoplastic Ma3 gene.

Authors:  Norma M Wills; Barry Moore; Andrew Hammer; Raymond F Gesteland; John F Atkins
Journal:  J Biol Chem       Date:  2006-01-05       Impact factor: 5.157

6.  Translation readthrough mitigation.

Authors:  Joshua A Arribere; Elif S Cenik; Nimit Jain; Gaelen T Hess; Cameron H Lee; Michael C Bassik; Andrew Z Fire
Journal:  Nature       Date:  2016-06-01       Impact factor: 49.962

7.  The quantitative proteome of a human cell line.

Authors:  Martin Beck; Alexander Schmidt; Johan Malmstroem; Manfred Claassen; Alessandro Ori; Anna Szymborska; Franz Herzog; Oliver Rinner; Jan Ellenberg; Ruedi Aebersold
Journal:  Mol Syst Biol       Date:  2011-11-08       Impact factor: 11.429

8.  Initiation codon scanthrough versus termination codon readthrough demonstrates strong potential for major histocompatibility complex class I-restricted cryptic epitope expression.

Authors:  T N Bullock; A E Patterson; L L Franlin; E Notidis; L C Eisenlohr
Journal:  J Exp Med       Date:  1997-10-06       Impact factor: 14.307

9.  A Regression-Based Analysis of Ribosome-Profiling Data Reveals a Conserved Complexity to Mammalian Translation.

Authors:  Alexander P Fields; Edwin H Rodriguez; Marko Jovanovic; Noam Stern-Ginossar; Brian J Haas; Philipp Mertins; Raktima Raychowdhury; Nir Hacohen; Steven A Carr; Nicholas T Ingolia; Aviv Regev; Jonathan S Weissman
Journal:  Mol Cell       Date:  2015-12-03       Impact factor: 17.970

10.  KnotInFrame: prediction of -1 ribosomal frameshift events.

Authors:  Corinna Theis; Jens Reeder; Robert Giegerich
Journal:  Nucleic Acids Res       Date:  2008-09-27       Impact factor: 16.971

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  19 in total

Review 1.  Peptides encoded by noncoding genes: challenges and perspectives.

Authors:  Shuo Wang; Chuanbin Mao; Shanrong Liu
Journal:  Signal Transduct Target Ther       Date:  2019-12-13

Review 2.  Identifying and Targeting Human Tumor Antigens for T Cell-Based Immunotherapy of Solid Tumors.

Authors:  Vid Leko; Steven A Rosenberg
Journal:  Cancer Cell       Date:  2020-08-20       Impact factor: 31.743

3.  The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases.

Authors:  Juan Antonio Vizcaíno; Peter Kubiniok; Kevin A Kovalchik; Qing Ma; Jérôme D Duquette; Ian Mongrain; Eric W Deutsch; Bjoern Peters; Alessandro Sette; Isabelle Sirois; Etienne Caron
Journal:  Mol Cell Proteomics       Date:  2019-11-19       Impact factor: 5.911

4.  Anti-tumour immunity induces aberrant peptide presentation in melanoma.

Authors:  Osnat Bartok; Abhijeet Pataskar; Remco Nagel; Maarja Laos; Eden Goldfarb; Deborah Hayoun; Ronen Levy; Pierre-Rene Körner; Inger Z M Kreuger; Julien Champagne; Esther A Zaal; Onno B Bleijerveld; Xinyao Huang; Juliana Kenski; Jennifer Wargo; Alexander Brandis; Yishai Levin; Orel Mizrahi; Michal Alon; Sacha Lebon; Weiwen Yang; Morten M Nielsen; Noam Stern-Ginossar; Maarten Altelaar; Celia R Berkers; Tamar Geiger; Daniel S Peeper; Johanna Olweus; Yardena Samuels; Reuven Agami
Journal:  Nature       Date:  2020-12-16       Impact factor: 49.962

5.  Profiling Human Cytomegalovirus-Specific T Cell Responses Reveals Novel Immunogenic Open Reading Frames.

Authors:  Rekha Dhanwani; Sandeep Kumar Dhanda; John Pham; Gregory P Williams; John Sidney; Alba Grifoni; Gaelle Picarda; Cecilia S Lindestam Arlehamn; Alessandro Sette; Chris A Benedict
Journal:  J Virol       Date:  2021-08-11       Impact factor: 5.103

Review 6.  Beyond Sequencing: Prioritizing and Delivering Neoantigens for Cancer Vaccines.

Authors:  Alexander S Roesler; Karen S Anderson
Journal:  Methods Mol Biol       Date:  2022

Review 7.  Identification of tumor antigens with immunopeptidomics.

Authors:  Chloe Chong; George Coukos; Michal Bassani-Sternberg
Journal:  Nat Biotechnol       Date:  2021-10-11       Impact factor: 54.908

Review 8.  Identification and Characterization of Neoantigens As Well As Respective Immune Responses in Cancer Patients.

Authors:  Eva Bräunlein; Angela M Krackhardt
Journal:  Front Immunol       Date:  2017-11-30       Impact factor: 7.561

9.  Discovery of coding regions in the human genome by integrated proteogenomics analysis workflow.

Authors:  Yafeng Zhu; Lukas M Orre; Henrik J Johansson; Mikael Huss; Jorrit Boekel; Mattias Vesterlund; Alejandro Fernandez-Woodbridge; Rui M M Branca; Janne Lehtiö
Journal:  Nat Commun       Date:  2018-03-02       Impact factor: 14.919

Review 10.  Best practices for bioinformatic characterization of neoantigens for clinical utility.

Authors:  Megan M Richters; Huiming Xia; Katie M Campbell; William E Gillanders; Obi L Griffith; Malachi Griffith
Journal:  Genome Med       Date:  2019-08-28       Impact factor: 11.117

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