Author

Daniel L. Bryant

Boston Medical Center

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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Microbiology· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Approach:genetic perturbation / CRISPR· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1

Frequent Co-Authors

Andrew J. HendersoniD· 2 shared Andrés A. Quiñones-MolinaiD· 1 shared Andrew A. LealiD· 1 shared Benedetta D’Elia· 1 shared Berkay ENGİNiD· 1 shared Ching‐Huang HoiD· 1 shared Elvis Morara· 1 shared George D. Muñoz-EsquiveliD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersMicrobiology

Andrew J. HendersonORCID

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Author profile →

2 papers

Recent·Most cited

Bloom syndrome helicase is required for efficient HIV-1 reverse transcription in macrophages

Andrew A. Leal, Samantha Tafrate, Xianbao He, Daniel L. Bryant, Melissa Beth Herring, Maria Andrade, Joseph B McWhirter, Andrés A. Quiñones-Molina, Suryaram Gummuluru, Manish Sagar, Rachel Litman Flynn, Ignaty Leshchiner, Andrew J. Henderson

This study identifies Bloom syndrome helicase (BLM) as a host factor that promotes HIV-1 reverse transcription and integration in macrophages through CRISPR screening and functional assays.

bioRxiv · Apr 27, 2026 · PreprintMicrobiology

Atlas of HIV cis-regulatory elements reveals extensive transcriptional variation across clades, isolates, and within individuals

Berkay ENGİN, Mohamed Yousry ElSadec, Joseph Alexander Finkelberg, Tommy Henry Taslim, Daniel L. Bryant, Luis F. Soto-Ugaldi, Susan Kales, Ching‐Huang Ho, Maryam Dashtiahangar, George D. Muñoz-Esquivel, Elvis Morara, Jacob Purinton, Benedetta D’Elia, Rodrigo I. Castro, Harshpreet Chandok, , Juan I. Fuxman Bass

The paper creates a regulatory atlas of HIV-1 and HIV-2 by analyzing transcriptional variation across clades, isolates, and individuals using MPRAs and predictive models.

bioRxiv · Apr 6, 2026 · PreprintMicrobiology