Author

Brandon Lukas

University of Illinois ChicagoORCID 0000-0002-6093-8290Unclaimed 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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Assay:scRNA-seq· 3 Research Focus:cell type annotation· 2 Organism:mouse· 2 Research Focus:trajectory inference· 2 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

Jingbo PangiD· 3 shared Timothy Jon KohiD· 3 shared Yang David DaiiD· 2 shared Mark Maienschein‐ClineiD· 1 shared Rita Roberts· 1 shared Yang DaiiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

6 top collaborators · 12 mutual co-author links

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3 shared papersImmunology

Jingbo PangORCID

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3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJul 27, 2026

Pseudotime graph diffusion for post hoc visualization of inferred single-cell trajectories

Brandon Lukas, Jingbo Pang, Timothy Jon Koh, Yang David Dai

PGD improves visualization of single-cell trajectories by smoothing cell-level features along pseudotime, enhancing continuity and structure in complex biological processes.

1 citation

humanscRNA-seq

ImmunologyThe Journal of ImmunologyPeer-reviewedJun 1, 2026

A Novel Monocyte-derived Antigen Presenting Cell-T regulatory Cell Axis Contributes to Skin Wound healing and is Impaired in Diabetic Mice

Jingbo Pang, Brandon Lukas, Rita Roberts…·Timothy Jon Koh

2 citationstop 4%

mousescRNA-seq

ImmunologybioRxivPreprintApr 24, 2026

Transcriptional regulators predicted to drive macrophage dysregulation during impaired wound healing in diabetic mice

Brandon Lukas, Jingbo Pang, Yang Dai, Timothy Jon Koh

This study identifies transcriptional regulators driving macrophage state transitions in diabetic wound healing using scRNA-seq and computational methods.

DOI 10.64898/2026.04.21.719960

mousescRNA-seq