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Email

dbrown1@unimelb.edu.au

Credentials


Position
Honorary (Fellow)
Department of Medical Biology (WEHI)
ORCID

0000-0002-3594-5851

Mr Daniel V Brown

Honorary (Fellow)
Department of Medical Biology (WEHI)

30 Scholarly works
0 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Single-cell profiling of BAL in preschool cystic fibrosis reveals macrophage dysregulation and ivacaftor-modified inflammatory programs in the early life lung.
    DOI: 10.1016/j.mucimm.2026.03.012
  • 2026

    Journal article

    Patient-derived organoids and neurospheres recapitulate salient features of primary tumor heterogeneity
    DOI: 10.1093/noajnl/vdaf247
  • 2025

    Journal article

    TIRE-seq simplifies transcriptomics via integrated RNA capture and library preparation
    DOI: 10.1038/s41598-025-98282-8
  • 2025

    Journal article

    Single-cell genome and transcriptome sequencing without upfront whole-genome amplification reveals cell state plasticity of melanoma subclones
    DOI: 10.1093/nar/gkaf173
  • 2024

    Journal article

    Correction to: Genetic drivers and cellular selection of female mosaic X chromosome loss (Nature, (2024), 631, 8019, (134-141), 10.1038/s41586-024-07533-7)
    DOI: 10.1038/s41586-024-08215-0
  • 2024

    Journal article

    A dataset examining technical factors on fixed white blood cell single-cell RNA-seq
    DOI: 10.1016/j.dib.2024.111096
  • 2024

    Journal article

    A risk-reward examination of sample multiplexing reagents for single cell RNA-Seq
    DOI: 10.1016/j.ygeno.2024.110793
Daniel V Brown

RECENT SCHOLARLY WORKS

  • 2023

    Journal article

    ScPipe: An extended preprocessing pipeline for comprehensive single-cell ATAC-Seq data integration in R/Bioconductor
    DOI: 10.1093/nargab/lqad105
  • 2023

    Journal article

    Artificial intelligence takes center stage: exploring the capabilities and implications of ChatGPT and other AI-assisted technologies in scientific research and education
    DOI: 10.1111/imcb.12689
  • 2022

    Journal article

    Lineage tracing reveals B cell antibody class switching is stochastic, cell-autonomous, and tuneable
    DOI: 10.1016/j.immuni.2022.08.004

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