Author

Shane D. Falcinelli

University of North Carolina at Chapel HillORCID 0000-0002-3554-226XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 1 Microbiology· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

David M. MargolisiD· 2 shared Nancie M. ArchiniD· 2 shared A. D. Cooper-VolkheimeriD· 1 shared Alana L. KelleriD· 1 shared Anne‐Marie W. TurneriD· 1 shared Anthony D. Fenton· 1 shared Brigitte Allard· 1 shared Ce GaoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersMolecular Biology

David M. MargolisORCID

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3 papers

Recent·Most cited

ImmunologybioRxivPreprintSep 13, 2026

Plasma Proteomic Profiling Identifies a Subset of HIV Elite Controllers with Inflammatory Profiles Resembling People Without HIV

Shane D. Falcinelli, David P. Maison, Isaac Avila-Vargas…·Michael J. Peluso

The paper identifies a subset of HIV elite controllers with proteomic profiles similar to uninfected individuals, associated with lower viral reservoirs and protective HLA alleles.

DOI 10.64898/2026.09.06.749753

humanproteomics

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Molecular BiologyJournal of VirologyPeer-reviewedMar 11, 2025

BET Degraders Reveal BRD4 Disruption of 7SK and P-TEFb is Critical for Effective Reactivation of Latent HIV in CD4+ T-cells

Anne‐Marie W. Turner, Frances M. Bashore, Shane D. Falcinelli…·David M. Margolis

This study shows that BRD4 degraders are less effective than BET inhibitors in reactivating latent HIV in CD4+ T-cells, highlighting the importance of BRD4's role in disrupting 7SK and P-TEFb.

10 citations

humanexperimental assay

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MicrobiologyeLifePeer-reviewedMar 23, 2024

Machine learning approaches identify immunologic signatures of total and intact HIV DNA during long-term antiretroviral therapy.

Lesia Semenova, Yingfan Wang, Shane D. Falcinelli…·Edward P. Browne

The paper uses machine learning to analyze HIV reservoir and immunology data to identify immune signatures associated with total and intact HIV DNA levels during ART.

6 citations

humanbulk RNA-seq

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