Work

m6A-SAC-seq for quantitative whole transcriptome m6A profiling

Year: 2022

Type: article

Source: Nature Protocols

DOI: 10.1038/s41596-022-00765-9

Authors: Ruiqi Ge, Chang Ye, Yong Peng, Qing Dai, Yutao Zhao, Shun Liu, Pingluan Wang, Lulu Hu, Chuan He

Institutions: Howard Hughes Medical Institute, University of Chicago, Shanghai Medical College of Fudan University, Fudan University, Fudan University Shanghai Cancer Center

Language: English

Topic: RNA modifications and cancer

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: Howard Hughes Medical Institute, U.S. Department of Health and Human Services, National Natural Science Foundation of China, National Institutes of Health, National Natural Science Foundation of China-Yunnan Joint Fund, National Human Genome Research Institute, National Cancer Institute, National Institute of Allergy and Infectious Diseases

Awards: G2616621545, G2689715775, G3042014112, G4682559241, G4858056665, Characterization and modeling of m6A RNA methylation in cancer, G9000144047, G9000221387

OpenAlex ID: W4310058940

FWCI: 4.003

Cites: 45

Cited by: 77

Related to: 10