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Core Gene Signatures of Atopic Dermatitis Using Public RNA-Sequencing Resources: Comparison of Bulk Approach with Single-Cell Approach

  • Author Footnotes
    3 These authors contributed equally to this work.
    Kyung Bae Chung
    Footnotes
    3 These authors contributed equally to this work.
    Affiliations
    Department of Dermatology, Yonsei University College of Medicine, Seoul, Korea

    Cutaneous Biology Research Institute, Yonsei University College of Medicine, Seoul, Korea
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  • Author Footnotes
    3 These authors contributed equally to this work.
    Jongwook Oh
    Footnotes
    3 These authors contributed equally to this work.
    Affiliations
    Department of Dermatology, Yonsei University College of Medicine, Seoul, Korea

    Cutaneous Biology Research Institute, Yonsei University College of Medicine, Seoul, Korea
    Search for articles by this author
  • Won Seok Roh
    Affiliations
    Department of Dermatology, Yonsei University College of Medicine, Seoul, Korea

    Cutaneous Biology Research Institute, Yonsei University College of Medicine, Seoul, Korea
    Search for articles by this author
  • Author Footnotes
    4 These authors contributed equally as senior authors.
    Tae-Gyun Kim
    Footnotes
    4 These authors contributed equally as senior authors.
    Affiliations
    Department of Dermatology, Yonsei University College of Medicine, Seoul, Korea

    Cutaneous Biology Research Institute, Yonsei University College of Medicine, Seoul, Korea
    Search for articles by this author
  • Author Footnotes
    4 These authors contributed equally as senior authors.
    Do-Young Kim
    Correspondence
    Corresponding author
    Footnotes
    4 These authors contributed equally as senior authors.
    Affiliations
    Department of Dermatology, Yonsei University College of Medicine, Seoul, Korea

    Cutaneous Biology Research Institute, Yonsei University College of Medicine, Seoul, Korea
    Search for articles by this author
  • Author Footnotes
    3 These authors contributed equally to this work.
    4 These authors contributed equally as senior authors.
Published:August 26, 2021DOI:https://doi.org/10.1016/j.jid.2021.07.169
      Next-generation sequencing, particularly RNA sequencing, has revolutionized dermatological research as a powerful tool to discover core pathologies. The primary RNA-sequencing approaches are bulk-tissue RNA sequencing (bulk-seq) and single-cell RNA sequencing (scRNA-seq). Bulk-seq measures the average gene expression of heterogeneous cell populations, and scRNA-seq identifies heterogeneity at a single-cell resolution. Although scRNA-seq can identify cell populations not identified by bulk-seq, inherent limitations present challenges. In this study, we compare two approaches by analyzing published datasets generated using human atopic dermatitis (AD) skin.

      Abbreviations:

      AD (atopic dermatitis), bulk-seq (bulk-tissue RNA sequencing), DEG (differentially expressed gene), KC (keratinocyte), scRNA-seq (single-cell RNA sequencing)
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