Single-cell transcriptome analysis reveals the association between histone lactylation and cisplatin resistance in bladder cancer

Li, Fei; Zhang, Henghui; Huang, Yuan; Li, Dongqing; Zheng, Zaosong; Xie, Kunfeng; Cao, Chun; Wang, Qiong; Zhao, Xinlei; Huang, Zehai; Chen, Shijun; Chen, Haiyong; Fan, Qin; Deng, Fan; Hou, Lina; Deng, Xiaolin; Tan, Wanlong

doi:10.1016/j.drup.2024.101059

Drug Resistance Updates

2024

DOI: 10.1016/j.drup.2024.101059

|View full text |Cite

Single-cell transcriptome analysis reveals the association between histone lactylation and cisplatin resistance in bladder cancer

Fei Li,

Henghui Zhang,

Yuan Huang

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Integrated analysis of multiple transcriptomic approaches and machine learning integration algorithms reveals high endothelial venules as a prognostic immune-related biomarker in bladder cancer

Zhang,

Huang,

Tan

et al. 2024

International Immunopharmacology

View full text Add to dashboard Cite

Integrated analysis of multiple transcriptomic approaches and machine learning integration algorithms reveals high endothelial venules as a prognostic immune-related biomarker in bladder cancer

Zhang,

Huang,

Tan

et al. 2024

International Immunopharmacology

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Single-cell transcriptome analysis reveals the association between histone lactylation and cisplatin resistance in bladder cancer

Cited by 1 publication

References 60 publications

Integrated analysis of multiple transcriptomic approaches and machine learning integration algorithms reveals high endothelial venules as a prognostic immune-related biomarker in bladder cancer

Integrated analysis of multiple transcriptomic approaches and machine learning integration algorithms reveals high endothelial venules as a prognostic immune-related biomarker in bladder cancer

Contact Info

Product

Resources

About