ArticleiScience2021
DNA-guided photoactivatable probe-based chemical proteomics reveals the reader protein of mRNA methylation.
Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Comprehensive analysis of m6A-seq data reveals distinct features of conserved and unique m6A sites in mammals.RNA (New York, N.Y.) · 2025Article
- RNA m6A modification, signals for degradation or stabilisation?Biochemical Society transactions · 2024Review
- Contemporary Use of ICSI and Epigenetic Risks to Future Generations.Journal of clinical medicine · 2022Review
- Mass Spectrometry-Based Proteomics for Assessing Epitranscriptomic Regulations.Mass spectrometry reviewsReview
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chemical modification on mRNA can recruit specific binding proteins (readers/partners) to determine post-transcriptional gene regulation. However, the identification of the reader is extremely limited owing to the rather weak and highly dynamic non-covalent interactions between mRNA modification and reader, and therefore the sensitive and robust approaches are desirable. Here, we report a DNA-guided photoactivatable-based chemical proteomic approach for profiling the readers of mRNA methylation. By use of N
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.