Author

A. N. Hegazy

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Research Focus:cell type annotation· 4 Research Focus:differential expression· 3 Organism:human· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Research Focus:cell signaling & trafficking· 1

Frequent Co-Authors

C. Peine· 2 shared K. Thurley· 2 shared M. Loehning· 2 shared M. Peine· 2 shared T. Hoefer· 2 shared A. Chomka· 1 shared A. Froehlich· 1 shared A. L. Nguyen· 1 shared

Activity by Year

2017-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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2 shared papersImmunology

C. Peine

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

ImmunologyGastroenterologyPeer-reviewedFeb 1, 2025

Multimodal profiling of peripheral blood identifies proliferating circulating effector CD4+ T cells as predictors for response to integrin α4β7-blocking therapy in patients with inflammatory bowel disease

V. Horn, C. Cancino, L. Steinheuer…·A. N. Hegazy

DOI 10.1053/j.gastro.2024.09.021

𝕏 PostBluesky

ImmunologybioRxivPreprintAug 14, 2022

Plasticity and lineage commitment of individual Th1 cells are determined by stable T-bet expression quantities

A. N. Hegazy, C. Peine, D. Niesen…·M. Loehning

This study shows that T-bet expression levels in Th1 cells determine their plasticity and lineage stability, with virus-induced interferons regulating these states.

DOI 10.1101/2022.08.14.503916

mousebulk RNA-seq

𝕏 PostBluesky

ImmunologybioRxivMay 13, 2022

High-resolution kinetic gene expression analysis of T helper cell differentiation reveals a STAT-dependent, unique transcriptional program in Th1/2 hybrid cells

P. Burt, M. Peine, C. Peine…·K. Thurley

This study analyzes the dynamic transcriptome of Th cell differentiation, revealing a unique STAT-dependent transcriptional program in Th1/2 hybrid cells.

DOI 10.3389/fimmu.2022.928018

humanbulk RNA-seq

𝕏 PostBluesky

ImmunologybioRxivNov 22, 2017

Single cell transcriptomics of regulatory T cells reveals trajectories of tissue adaptation

R. J. Miragaia, T. Gomes, A. Chomka…·S. A. Teichmann

The paper uses single-cell RNA-seq to study Treg and Tmem cells in mouse tissues, revealing a lymphoid-to-tissue adaptation trajectory and conserved molecular signals across species.

DOI 10.1016/j.immuni.2019.01.001

𝕏 PostBluesky