Author

Dylan J. Tatterton

University of SouthamptonORCID 0000-0002-1453-7496Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:bulk RNA-seq· 2 Approach:experimental assay· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Francesco ForconiiD· 3 shared Giorgia ChiodiniD· 3 shared Benjamin SaleiD· 2 shared Dean J. BryantiD· 2 shared Erin Snook· 2 shared Patrick J. DurieziD· 2 shared Alberto ÓrfãoiD· 1 shared Alyssa Adlaon· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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3 shared papersCancer Biology

Francesco ForconiORCID

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3 papers

Recent·Most cited

Cancer BiologyBloodPeer-reviewedJan 20, 2026

DC-SIGN Binding to the Surface Ig Oligomannose-type Glycans Promotes Follicular Lymphoma Cell Adhesion and Survival

Giorgia Chiodin, Dylan J. Tatterton, Philip J. Rock…·Francesco Forconi

This study shows that DC-SIGN binding to sIg-Mann on follicular lymphoma cells promotes adhesion to VCAM-1 and survival, suggesting a therapeutic target for FL.

1 citation

humanproteomics

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Cancer BiologyBloodPeer-reviewedSep 2, 2025

The Origin, Diagnosis, and Prognosis of Oligomannose-Type Diffuse Large B Cell Lymphoma

Dylan J. Tatterton, Maddy L. Newby, Joel D. Allen…·Francesco Forconi

This paper identifies Mann-type DLBCL as a subtype of GCB-DLBCL characterized by oligomannose-type glycans in CDR-located AGS, associated with poor prognosis and distinct gene expression patterns.

6 citations

humanbulk RNA-seq

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BioinformaticsbioRxivPreprintSep 3, 2024

IgSeqR: a protocol for the identification, assembly, and characterization of full-length tumor Immunoglobulin transcripts from unselected RNA sequencing data

Dean J. Bryant, Benjamin Sale, Giorgia Chiodin…·Francesco Forconi

The paper introduces a protocol for extracting and characterizing full-length tumor immunoglobulin transcripts from RNA-seq data, enabling analysis of their sequences and potential clinical applications.

1 citation

humanbulk RNA-seq

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