m6A-SAC-seq for quantitative whole transcriptome m6A profiling

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

Published: 2022-11-24 DOI: 10.1038/s41596-022-00765-9

m6A sequencing

whole transcriptome

recombinant protein

RNA modification

quantitative analysis

AI 解读

Supplementary information

Reporting Summary

Generation of mouse–human chimeric embryos

Genome-wide quantification of transcription factor binding at single-DNA-molecule resolution using methyl-transferase footprinting

Generation of CRISPR–Cas9-mediated genetic knockout human intestinal tissue–derived enteroid lines by lentivirus transduction and single-cell cloning

A puromycin-dependent activity-based sensing probe for histochemical staining of hydrogen peroxide in cells and animal tissues

Decoding personal biotic and abiotic airborne exposome

A clinically relevant model of focal embolic cerebral ischemia by thrombus and thrombolysis in rhesus monkeys

Bioengineering human intestinal mucosal grafts using patient-derived organoids, fibroblasts and scaffolds

Biomimetic tail-to-head terpene cyclizations using the resorcin[4]arene capsule catalyst

Neuroscience robotics for controlled induction and real-time assessment of hallucinations

Scanorama: integrating large and diverse single-cell transcriptomic datasets

Single-cell RNA sequencing (scRNA-seq)（单细胞RNA测序）

Data integration（数据集成）

Heterogeneity（异质性）

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References

Supplementary information

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m6A-SAC-seq for quantitative whole transcriptome m6A profiling

Supplementary information

Reporting Summary

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