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Low-input RNase footprinting to profile RNA translation

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NIAID Data Ecosystem2026-03-13 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE151986
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We treated HEK293T cells with different doses of RNase and sequence RNA fragements after the treatments. Furthermore, we developed a low-input RNase footprinting approach to quantify genome-wide RNA translation using 50,000 and 1,000 HEK293T and K562 cells. The ribosome profiling and RNA-seq data were used as the control. 1. HEK293T cells were treated with 3 different doses of RNase (i.e. low, medium, high) and RNA fragments were isolated for sequencing. 2. Low-input RNase footprinting for 50,000 and 1,000 HEK293T and K562 cells. 3. Ribosome profiling and RNA-seq data for HEK293T and K562 cells were used for comparisons.
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2022-01-22
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