Single‐Cell Profiling Across Immune Tissues and Organs Reveals Immunosenescence Signatures in Male Rhesus Monkeys

Aging gradually impairs immune system function, yet its systemic features across immune organs remain poorly characterized in primates. Here, we perform single-cell transcriptomic profiling of bone marrow, spleen, mesenteric lymph nodes, and peripheral blood mononuclear cells from young and naturally aged male rhesus monkeys. Our study revealed extensive transcriptional remodeling across tissues, particularly the marked upregulation of GZMB expression across multiple cell types in aged monkeys, highlighting it as a candidate biomarker of immunosenescence. Gene regulatory network analysis identifies BHLHE40 as a key transcription factor enriched in multiple CD8<sup>+</sup> T cell subtypes during aging, regulating pro-inflammatory and exhaustion-related genes. We also observe an age-associated expansion of CD8<sup>+</sup> central memory T cells with increased CCL5 and reduced IL7R expression, consistent with a shift toward a dysfunctional state. In the bone marrow, we discover a distinct naïve B cell population with low PDCD4 expression that declines with age, potentially compromising humoral immunity. These findings offer a comprehensive single-cell atlas of immune aging in a non-human primate model, providing novel insights into cell-type-specific and tissue-dependent features of immunosenescence. Our work establishes a valuable resource for future translational studies and biomarker discovery in human aging.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-01-20
DOI
https://doi.org/10.1002/advs.202514353
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single‐Cell Profiling Across Immune Tissues and Organs Reveals Immunosenescence Signatures in Male Rhesus Monkeys

Wei Si, Yichao Wang, Yaping Yan, H. Yang et al.
Advanced Science
Single-cell and spatial transcriptomics
article

Single‐Cell Profiling Across Immune Tissues and Organs Reveals Immunosenescence Signatures in Male Rhesus Monkeys

Wei Si, Yichao Wang, Yaping Yan, H. Yang, Bing Bai, Zhengna Zhu, Li Wu, Naixue Yang, Weizhi Ji, Shengnan Wang, Luyao Ran
article en

Abstract

Aging gradually impairs immune system function, yet its systemic features across immune organs remain poorly characterized in primates. Here, we perform single-cell transcriptomic profiling of bone marrow, spleen, mesenteric lymph nodes, and peripheral blood mononuclear cells from young and naturally aged male rhesus monkeys. Our study revealed extensive transcriptional remodeling across tissues, particularly the marked upregulation of GZMB expression across multiple cell types in aged monkeys, highlighting it as a candidate biomarker of immunosenescence. Gene regulatory network analysis identifies BHLHE40 as a key transcription factor enriched in multiple CD8<sup>+</sup> T cell subtypes during aging, regulating pro-inflammatory and exhaustion-related genes. We also observe an age-associated expansion of CD8<sup>+</sup> central memory T cells with increased CCL5 and reduced IL7R expression, consistent with a shift toward a dysfunctional state. In the bone marrow, we discover a distinct naïve B cell population with low PDCD4 expression that declines with age, potentially compromising humoral immunity. These findings offer a comprehensive single-cell atlas of immune aging in a non-human primate model, providing novel insights into cell-type-specific and tissue-dependent features of immunosenescence. Our work establishes a valuable resource for future translational studies and biomarker discovery in human aging.

Advanced ScienceVol. 13(17)
Kunming University of Science and Technology (CN), Kunming Medical University (CN), First Affiliated Hospital of Kunming Medical University (CN), Yunnan Yingmao Biotechnology (China) (CN)
Openalex Percentile: Top 84%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.