SCIENTIFIC EVIDENCE

Analysis of the transcriptomic and metabolomic landscape of prostate cancer with different anatomical origins using snFLARE-seq and mxFRIZNGRND.

Nature communications
He D, Hu H, Xiao K, Zhang Y, Cheng Y, Jiao S, Hao Y, Cai Y, Liu Z, Yan X, Chen Q, Mu X, Wang Q, Peng S, Sang G, Zhi X, Chang Y, Ye Q, Yang Y, Che M, Huang S, Guo H, Chen L, Tang H, Qiu X, Li Z.

Publication Overview

Key findings, Countstar context, and access to the original paper.
2026
Cancer Research
Single-Cell Analysis
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Key Finding
Integrated transcriptomic and metabolomic profiling revealed distinct cellular, signaling, and metabolic features between peripheral- and transition-zone prostate cancers. Hormone therapy reshaped epithelial and immune states, while multi-omic integration identified four metabolic pathways and associated genes linked to disease aggressiveness.
Countstar Connection
Researchers used Countstar Rigel S2 to assess nuclei numbers in isolated nuclei before single-cell analysis in the 2026 Nature communications study.
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