Interpretable deep learning reveals the role of an E-box motif in suppressing somatic hypermutation of AGCT motifs within human immunoglobulin variable regions

IntroductionSomatic hypermutation (SHM) of immunoglobulin variable (V) regions by activation induced deaminase (AID) is essential for robust, long-term humoral immunity against pathogen and vaccine antigens. AID mutates cytosines preferentially within WRCH motifs (where W=A or T, R=A or G and H=A, C...

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Hauptverfasser:	Abhik Tambe, Thomas MacCarthy, Rushad Pavri
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2024-05-01
Schriftenreihe:	Frontiers in Immunology
Schlagworte:	somatic hypermutation (SHM) activation induced deaminase (AID) immunoglobulin heavy chain deep learning integrated gradients E-box transcription factors
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fimmu.2024.1407470/full
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