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Submandibular gland tissue RNAseq and spatial transcriptome analyses in IgG4-related disease.
Yamamoto, Motohisa; Kamekura, Ryuta; Uehara, Masaaki; Ichii, Yuta; Tanaka, Tomonao; Aochi, Satsuki; Takano, Ken-Ichi.
Affiliation
  • Yamamoto M; Department of Rheumatology and Allergy, IMSUT Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
  • Kamekura R; Department of Otolaryngology-Head and Neck Surgery, Sapporo Medical University School of Medical, Sapporo, Japan.
  • Uehara M; Department of Rheumatology and Allergy, IMSUT Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
  • Ichii Y; Department of Rheumatology and Allergy, IMSUT Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
  • Tanaka T; Division of Cancer Cell Biology, The Institute of Medical Science, The University of Tokyo, Toyko, Japan.
  • Aochi S; Department of Rheumatology and Allergy, IMSUT Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
  • Takano KI; Department of Rheumatology and Allergy, IMSUT Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Rheumatology (Oxford) ; 2024 Jul 27.
Article in En | MEDLINE | ID: mdl-39067047
ABSTRACT

OBJECTIVE:

To identify genes that could provide clues leading to the discovery of drugs to treat IgG4-related disease (IgG4-RD).

METHODS:

Submandibular gland tissue bulk RNAseq analysis of 45 cases with a definite diagnosis of IgG4-RD was integrated with Visium spatial transcriptome analysis of 2 cases to identify pathogenic genes expressed in tertiary lymphoid tissues.

RESULTS:

Bulk RNAseq and pathway analyses showed upregulation of cell cycle and T cell-related signals in IgG4-RD. Spatial transcriptome analysis identified the cluster corresponding to germinal centers and the top 38 common genes that showed significant variations in expression compared with other clusters. The top 20 genes were extracted by comparing the bulk RNAseq data. Network analysis identified CDK1 as the ge most strongly associated of the top 20 genes.

CONCLUSION:

The CDK1 gene may be a regulator of the pathogenesis of IgG4-RD and provide clues for drug discovery.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Rheumatology (Oxford) Journal subject: REUMATOLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication:
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Rheumatology (Oxford) Journal subject: REUMATOLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication: