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Uli-epic: profiling RNA modifications from ultra-low input samples

delete2025-11-18
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OA
AI
W
Weizhi He
C
Chu Xu
陈文 (Wen Chen)
J
Jiang Xiao
Y
Yuhang Wang
彭勇 cover
彭勇 (Yong Peng)
S
Shujuan Chang
朱玮 cover
朱玮 (Wei‐Guo Zhu)
康九红 cover
康九红 (Jiuhong Kang) *
胡璐璐 (Lulu Hu)
DOI:10.1186/s13059-025-03857-3delete
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Abstract

Abstract

En 中文
High-throughput sequencing with chemical labeling enables robust, transcriptome-wide detection of RNA modifications at single-nucleotide resolution. However, these methods typically require substantial RNA amounts due to harsh treatments. We introduce Uli-epic, an innovative library construction strategy that enables profiling epitranscriptomic modifications using 100 pg to 1 ng of RNA. Utilizing Uli-epic BID-seq, we investigate pseudouridine (Ψ) sites in neural stem cells and sperm RNA from wild-type and fetal growth restriction mice, using only 500 pg of rRNA-depleted RNA. Uli-epic GLORI quantifies m6A in sperm and neural stem cells from wild-type and fetal growth restriction mice, using 10 ng of rRNA-depleted RNA.
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Journal

G
Genome Biology
IF:
9.4
Papers:
6.4K
Citations:
7.3W

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F
fudan university
Scholars:
11.7W
Papers: 7.7W
Citations: 121
T
tongji university
Scholars:
7.8W
Papers: 5.9W
Citations: 98
C
Chengdu University of Traditional Chinese Medicine
Scholars:
1.1W
Papers: 5.2K
Citations: 8.4K
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