Integrating Metabolic RNA Labeling‐Based Time‐Resolved Single‐Cell RNA Sequencing with Spatial Transcriptomics for Spatiotemporal Transcriptomic Analysis (Small Methods 3/2025)
Inside Back Cover In article number 2401297, Ding, Kang, Yang, and co-workers integrate metabolic RNA labeling-based time-resolved scRNA-seq with spatial transcriptomics (10x Visium and in situ sequencing) to profile the transcriptional dynamics of glioblastoma cells. The spatiotemporal analysis elucidates the complex gene regulatory mechanism of EZH2-mediated mesenchymal transition in the tumor microenvironment.
Authors
- Qiaoyi Wu (ORCID: https://orcid.org/0000-0001-6430-2188)
- Dezhi Kang (ORCID: https://orcid.org/0000-0002-0906-9456)
- Jia Tao Song (ORCID: https://orcid.org/0000-0002-0122-8360)
- Chaoyong James Yang (ORCID: https://orcid.org/0000-0002-2374-5342)
- Shichao Lin (ORCID: https://orcid.org/0000-0003-3423-6225)
- Yingkun Zhang (ORCID: https://orcid.org/0000-0001-5707-2863)
- Chenyu Ding (ORCID: https://orcid.org/0000-0003-2358-1699)
- Xiaoyong Chen (ORCID: https://orcid.org/0000-0002-4795-8940)
- Honghai You
- Jin-Yuan Chen
- Fanghe Lin
- Kun Yin
Institutions
- Fujian Medical University (CN)
- Shanghai Jiao Tong University (CN)
- Xiamen University (CN)
- Renji Hospital (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
- State Key Laboratory of Oncogene and Related Genes (CN)
- Collaborative Innovation Center of Chemistry for Energy Materials (CN)
Publication Details
- Journal
- Small Methods
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1002/smtd.202570019
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00