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Can I read 33. Computational prediction of MHC anchor locations guide neoantigen identification and prioritization on EtoBox?
33. Computational prediction of MHC anchor locations guide neoantigen identification and prioritization by Huiming Xia; Joshua McMichael; Michelle Becker-Hapak; Onyinyechi C. Onyeador; Rico Buchli; Ethan McClain; Patrick Pence; Suangson Supabphol; Megan M. Richters; Anamika Basu; Cody A. Ramirez; Cristina Puig-Saus; Kelsy C. Cotto; Jasreet Hundal; Susanna Kiwala; S. Peter Goedegebuure; Tanner M. Johanns; Gavin P. Dunn; Antoni Ribas; Christopher A. Miller; William E. Gillanders; Todd A. Fehniger; Obi L. Griffith; Malachi Griffith is a Medicine article available to read on EtoBox.
What is 33. Computational prediction of MHC anchor locations guide neoantigen identification and prioritization about?
Neoantigens are novel peptide sequences resulting from somatic mutations in tumors that upon loading onto major histocompatibility complex (MHC) molecules allow recognition by T cells. Accurate neoantigen identification is thus critical for designing cancer vaccines and predicting response to immunotherapies. Neoantigen prioritization relies on correctly inferring whether the presenting peptide sequence can successfully induce an immune response. An important, yet underappreciated, variable in neoantigen-prediction pipelines is the mutation position within the peptide relative to its anchor positions for the patient's specific HLA alleles. While a subset of peptide positions are presented to the T-cell receptor for recognition, others are responsible for anchoring to the MHC, making these positional considerations critical for predicting T-cell responses. However, a systematic method for determining anchor locations and application of these to evaluate neoantigens has not been reported. Here, we calculated high probability anchor positions for 328 HLA alleles using a reference dataset generated from clinical and TCGA patient samples. Results showed clusters of different anchor tren
Who reads 33. Computational prediction of MHC anchor locations guide neoantigen identification and prioritization?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Huiming Xia; Joshua McMichael; Michelle Becker-Hapak; Onyinyechi C. Onyeador; Rico Buchli; Ethan McClain; Patrick Pence; Suangson Supabphol; Megan M. Richters; Anamika Basu; Cody A. Ramirez; Cristina Puig-Saus; Kelsy C. Cotto; Jasreet Hundal; Susanna Kiwala; S. Peter Goedegebuure; Tanner M. Johanns; Gavin P. Dunn; Antoni Ribas; Christopher A. Miller; William E. Gillanders; Todd A. Fehniger; Obi L. Griffith; Malachi Griffith
- Publisher
- Elsevier BV
- Published
- 2022
- Language
- EN
- Field
- Medicine (Health Sciences)