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Email

adam.balic@unimelb.edu.au

Credentials


Position
Research Officer
Department of Biochemistry and Pharmacology
Education
PhD
The University of Melbourne
PhD
University of Melbourne
Bachelors Degree (Honours)
Monash University
ORCID

0000-0001-8369-7269

Dr Adam Balic

Research Officer
Department of Biochemistry and Pharmacology

57 Scholarly works
0 Projects

HIGHLIGHTS

  • 2024

    Journal article

    Cell atlas of the Atlantic salmon spleen reveals immune cell heterogeneity and cell-specific responses to bacterial infection
    DOI: 10.1016/j.fsi.2024.109358
  • 2024

    Journal article

    Infectious bronchitis virus vaccination, but not the presence of XCR1, is correlated with large differences in chicken caecal microbiota
    DOI: 10.1099/mgen.0.001289
  • 2024

    Journal article

    Characterization and ontogeny of a novel lymphoid follicle inducer cell during development of the bursa of Fabricius
    DOI: 10.3389/fimmu.2024.1449117
  • 2023

    Journal article

    Fourth Report on Chicken Genes and Chromosomes 2022
    DOI: 10.1159/000529376
  • 2023

    Journal article

    The developmental basis of fingerprint pattern formation and variation
    DOI: 10.1016/j.cell.2023.01.015
  • 2023

    Journal article

    Development and function of chicken XCR1 conventional dendritic cells
    DOI: 10.3389/fimmu.2023.1273661
  • 2022

    Journal article

    Author Correction: Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network (Nature Communications, (2021), 12, 1, (3297), 10.1038/s41467-021-23143-7)
    DOI: 10.1038/s41467-022-28758-y
Adam Balic

RECENT SCHOLARLY WORKS

  • 2022

    Journal article

    Development of novel reagents to chicken FLT3, XCR1 and CSF2R for the identification and characterization of avian conventional dendritic cells
    DOI: 10.1111/imm.13426
  • 2021

    Book Chapter

    Macrophages and dendritic cells
    DOI: 10.1016/B978-0-12-818708-1.00003-8
  • 2021

    Journal article

    Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network
    DOI: 10.1038/s41467-021-23143-7

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