Single-cell RNA-Sequencing revealed an inflammaging phenotype in aged mouse mammary gland 4821

Abstract Description Population and epidemiology studies characterized age as the greatest risk factor for breast cancer incidence. While emerging evidence underscores the significance of stroma in tumor development, how aging rewires the mammary gland immune microenvironment remains largely unknown. Here, we performed a comprehensive single-cell transcriptome profiling of BALB/cJ female mice mammary gland across multiple postnatal development stages. In-depth analysis revealed an “inflammaging” phenotype in aged mammary gland. Specifically, in the myeloid compartment, we noted a reduction of M2 and an increase of pro-inflammatory monocyte-derived macrophages in aged mammary glands. In the lymphoid compartment, we observed a significant presence of ApoehighPlac8high B cells within aged tissue. While the puberty population was dominated by naïve and TCM cells, we found a shift towards a dysfunctional and memory-like population during aging. Notably, an exhausted Gzmk+CD8+ T population, a hallmark of inflammaging, was found exclusively in the aged mammary gland. In the context of murine mammary gland, we conducted a thorough examination of the aging impact on the cellular and transcriptomic landscape of the peripheral tissue immune populations. Prospectively, we will leverage the intercellular communication networks and intracellular gene regulatory networks to identify niche factors contributing to the inflammaging phenotypes and validate them with single-cell resolution spatial-transcriptomics. Topic Categories Lymphocyte Differentiation and Peripheral Maintenance (LYM)

Authors

Institutions

Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.2439
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 RNA-Sequencing revealed an inflammaging phenotype in aged mouse mammary gland 4821

Jose Silva, Qingfei Pan, Zhen Xie, Koon‐Kiu Yan et al.
The Journal of Immunology
Single-cell and spatial transcriptomics
article

Single-cell RNA-Sequencing revealed an inflammaging phenotype in aged mouse mammary gland 4821

Jose Silva, Qingfei Pan, Zhen Xie, Koon‐Kiu Yan, Sheetal Bhatara, Jiyang Yu
article en

Abstract

Abstract Description Population and epidemiology studies characterized age as the greatest risk factor for breast cancer incidence. While emerging evidence underscores the significance of stroma in tumor development, how aging rewires the mammary gland immune microenvironment remains largely unknown. Here, we performed a comprehensive single-cell transcriptome profiling of BALB/cJ female mice mammary gland across multiple postnatal development stages. In-depth analysis revealed an “inflammaging” phenotype in aged mammary gland. Specifically, in the myeloid compartment, we noted a reduction of M2 and an increase of pro-inflammatory monocyte-derived macrophages in aged mammary glands. In the lymphoid compartment, we observed a significant presence of ApoehighPlac8high B cells within aged tissue. While the puberty population was dominated by naïve and TCM cells, we found a shift towards a dysfunctional and memory-like population during aging. Notably, an exhausted Gzmk+CD8+ T population, a hallmark of inflammaging, was found exclusively in the aged mammary gland. In the context of murine mammary gland, we conducted a thorough examination of the aging impact on the cellular and transcriptomic landscape of the peripheral tissue immune populations. Prospectively, we will leverage the intercellular communication networks and intracellular gene regulatory networks to identify niche factors contributing to the inflammaging phenotypes and validate them with single-cell resolution spatial-transcriptomics. Topic Categories Lymphocyte Differentiation and Peripheral Maintenance (LYM)

The Journal of ImmunologyVol. 214(Supplement_1)
St. Jude Children's Research Hospital (US), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 68%
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.