医学
免疫系统
肾移植
趋化因子
纤维化
转录组
细胞
肾
病理
免疫学
计算生物学
内科学
基因表达
生物
遗传学
基因
作者
Cristina Martín-Martín,Beatriz Suárez-Álvarez,Monika González-Lopez,Irina B. Torres,Oriol Bestard,José-Ezequiel Martín,Gwendolyn Barceló‐Coblijn,Francesc Moreso,Ana M. Aransay,Carlos López‐Larrea,Ramón María Alvargonzález Rodríguez
标识
DOI:10.1016/j.ajt.2024.04.015
摘要
In this proof-of-concept study, spatial transcriptomics combined with public single-cell ribonucleic acid-sequencing data were used to explore the potential of this technology to study kidney allograft rejection. We aimed to map gene expression patterns within diverse pathologic states by examining biopsies classified across nonrejection, T cell-mediated acute rejection, interstitial fibrosis, and tubular atrophy. Our results revealed distinct immune cell signatures, including those of T and B lymphocytes, monocytes, mast cells, and plasma cells, and their spatial organization within the renal interstitium. We also mapped chemokine receptors and ligands to study immune cell migration and recruitment. Finally, our analysis demonstrated differential spatial enrichment of transcription signatures associated with kidney allograft rejection across various biopsy regions. Interstitium regions displayed higher enrichment scores for rejection-associated gene expression patterns than tubular areas, which had negative scores. This implies that these signatures are primarily driven by processes unfolding in the renal interstitium. Overall, this study highlights the value of spatial transcriptomics for revealing cellular heterogeneity and immune signatures in renal transplant biopsies and demonstrates its potential for studying the molecular and cellular mechanisms associated with rejection. However, certain limitations must be borne in mind regarding the development and future applications of this technology.
科研通智能强力驱动
Strongly Powered by AbleSci AI