Histology image analysis of 13 healthy tissues reveals molecular-histological correlations.

ABSTRACT: Gene expression is an important process in which genes guide the synthesis of proteins, and molecular-level differences often lead to individual phenotypic variations. Combining molecular information at the nano-level with phenotypic information at the micron level can allow for the identification of a series of gene-level biomarkers related to image phenotypes and provide a more comprehensive way to understand the impact of genes on cell morphology. Currently, most studies in imaging genomics focus on tumors. However, tumor heterogeneity mitigates the reproducibility of gene-micro-correlations. Furthermore, research on the association between imaging features and gene expression patterns in multiple tissues is still lacking. This study aims to explore the correlations between the nuclear

SUBMITTER: Gao Y 

PROVIDER: S-EPMC12287294 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature