Reference-guided computational framework identifies microenvironment metabolic subtypes and targets using pan-cancer single-cell datasets

MetroSCREEN is a robust and scalable approach for characterizing metabolic heterogeneity and pinpointing metabolic regulators at single-cell resolution, unveiling novel antitumor targets for future metabolic interventions. The source codes of MetroSCREEN is available at the Github site https://github.com/wanglabtongji/MetroSCREEN .

Authors

Institutions

Publication Details

Journal
Genome Medicine
Published
2025-12-19
DOI
https://doi.org/10.1186/s13073-025-01572-z
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reference-guided computational framework identifies microenvironment metabolic subtypes and targets using pan-cancer single-cell datasets

Xin Dong, Qiu Wu, Taiwen Li, Ya Han et al.
1 citations
Genome Medicine
Single-cell and spatial transcriptomics
0.81
article

Reference-guided computational framework identifies microenvironment metabolic subtypes and targets using pan-cancer single-cell datasets

Xin Dong, Qiu Wu, Taiwen Li, Ya Han, Tong Han, Chenfei Wang, Hailin Wei, Ke Tang, Dongqing Sun, Peng Zhang, Zhaoyang Liu, Lele Zhang, Wenwen Shao, Junjie Hu
article en
1 citations

Abstract

MetroSCREEN is a robust and scalable approach for characterizing metabolic heterogeneity and pinpointing metabolic regulators at single-cell resolution, unveiling novel antitumor targets for future metabolic interventions. The source codes of MetroSCREEN is available at the Github site https://github.com/wanglabtongji/MetroSCREEN .

Genome MedicineVol. 17(1)
Tongji University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Sichuan University (CN), Shanghai FRP Research Institute (China) (CN), Shanghai Pulmonary Hospital (CN)
Natural Science Foundation of Shanghai, National Natural Science Foundation of China, Tongji University
Openalex Percentile: Top 21%
Single-cell and spatial transcriptomics
0.81
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.