Spatial transcriptomic landscape unveils immunoglobin-associated senescence as a hallmark of aging(Dataset ID: STDS0000247)

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Dataset information
Summary:
To systematically characterize the loss of tissue integrity and organ dysfunction resulting from aging, we produced an in-depth spatial transcriptomic profile of nine tissues in male mice during aging. We showed that senescence-sensitive spots (SSSs) colocalized with elevated entropy in organizational structure and that the aggregation of immunoglobulin-expressing cells is a characteristic feature of the microenvironment surrounding SSSs. Immunoglobulin G (IgG) accumulated across the aged tissues in both male and female mice, and a similar phenomenon was observed in human tissues, suggesting the potential of the abnormal elevation of immunoglobulins as an evolutionarily conserved feature in aging. Furthermore, we observed that IgG could induce a pro-senescent state in macrophages and microglia, thereby exacerbating tissue aging, and that targeted reduction of IgG mitigated aging across various tissues in male mice. This study provides a high-resolution spatial depiction of aging and indicates the pivotal role of immunoglobulin-associated senescence during the aging process.
Technology:
Stereo-seq
Platform:
DNBSEQ-T1
Tissues:
Spleen, Testis, Heart, Hippocampus, Small intestine, Liver, Lung, Lymph node, Spinal cord
Development stage:
Young, Old
Sex:
Male
Submission date: 2024-11-07Update date: 2024-11-07
DOI: To be continue
Contributors
Yuzhe Sun
Contact: sunyuzhe@genomics.cn
Accessions
STOmicsDB Project ID: STT0000039
How to cite
  • Cite database of STOmicsDB:
    [1] Xu, Zhicheng et al. "STOmicsDB: a comprehensive database for spatial transcriptomics data sharing, analysis and visualization." Nucleic acids research vol. 52,D1 (2024): D1053-D1061. doi: 10.1093/nar/gkad933'
  • Cite visualization dataset:
    [2] Yuzhe Sun. Spatial transcriptomic landscape unveils immunoglobin-associated senescence as a hallmark of aging[DS/OL]. STOmicsDB, 2024[2024-11-07]. https://db.cngb.org/stomics/datasets/STDS0000247/. doi: xxxxxx
    #Format: {contributors}. {title}[DS/OL]. STOmicsDB, {the year of submission data}[{submission data}]. {dataset link}. doi: {doi ID}
  • Cite original data article:
    Citation: Spatial transcriptomic landscape unveils immunoglobin-associated senescence as a hallmark of aging. Cell. 2024 Nov 2:S0092-8674(24)01201-7. doi: 10.1016/j.cell.2024.10.019. Epub ahead of print. PMID: 39500323.