Author

Marcus A. Altfeld

Leibniz Institute of Virology (LIV)ORCID 0000-0001-5972-2997Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1 Approach:experimental assay· 1 Assay:imaging· 1 Assay:Ribo-seq· 1

Frequent Co-Authors

Angelique HölzemeriD· 2 shared Leonore MenschingiD· 2 shared Ana Jordan-PaiziD· 1 shared Andrew J. HightoniD· 1 shared Anne BetiD· 1 shared Annika NeldeiD· 1 shared Annika NiehrsiD· 1 shared Antoine GrossiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersImmunology

Angelique HölzemerORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

ImmunologybioRxivPreprintMay 11, 2026

HIV-1 promotes cell-to-cell interactions enabling spread from CD4+ T cells to microglia

Friederike Reinsberg, Katharina Schiering, Malte G Lingstaedt…·Angelique Hölzemer

This study shows HIV-1 enhances cell-to-cell transmission from infected CD4+ T cells to microglia by altering surface signals and increasing phagocytosis.

DOI 10.64898/2026.05.07.723402

humanbulk RNA-seq

ImmunologyNature CommunicationsPeer-reviewedFeb 18, 2025

Unveiling novel conserved HIV-1 open reading frames encoding T cell antigens using ribosome profiling.

Lisa Bertrand, Annika Nelde, Bertha Cecilia Ramírez…·Arnaud Moris

This study uses ribosome profiling to identify conserved HIV-1 alternative open reading frames (ARFs) that encode T cell antigens, revealing new targets for vaccination.

10 citationstop 4%

humanRibo-seq

BioinformaticsbioRxivPreprintSep 6, 2022

GOAT: Deep learning-enhanced Generalized Organoid Annotation Tool

Jan P. Bremer, Martin E. Baumdick, Marius S. Knorr…·Madeleine J. Bunders

GOAT is a deep learning tool for annotating organoids from microscopy images, showing high performance across diverse organoid systems.

1 citation

humanimaging