Evidence map›Paper›PMID 37925186›Full record

ArticleMethods in enzymology2023

Base-resolution quantitative DAMM-seq for mapping RNA methylations in tRNA and mitochondrial polycistronic RNA.

Li-Sheng Zhang, Cheng-Wei Ju, Bochen Jiang, Chuan He

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Li-Sheng ZhangDivision of Life Science, The Hong Kong University of Science and Technology (HKUST), Hong Kong SAR, P.R. China; Department of Chemistry, The Hong Kong University of Science and Technology (HKUST), Hong Kong SAR, P.R. China; Department of Chemistry, The University of Chicago, Chicago, IL, United States; Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, United States. Electronic address: zhangls@ust.hk.
Cheng-Wei JuHoward Hughes Medical Institute, The University of Chicago, Chicago, IL, United States; Pritzker School of Molecular Engineering, The University of Chicago, Chicago, IL, United States.
Bochen JiangDepartment of Chemistry, The University of Chicago, Chicago, IL, United States; Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, United States.
Chuan HeDepartment of Chemistry, The University of Chicago, Chicago, IL, United States; Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, United States.
Howard Hughes Medical Institute · USUniversity of Chicago · US

Funding

Transcriptome-wide base-resolution sequencing of pseudouridine in human normal and AD brain tissues-CEGS Admin supplement 2020-2021RM1HG008935 · NHGRI · UNIVERSITY OF CHICAGO · PI HE, CHUAN · 2016 to 2025
$24.4M
Direct Oxidative Nucleic Acids DemethylationR01ES030546 · NIEHS · UNIVERSITY OF CHICAGO · PI HE, CHUAN · 2019 to 2023
$1.9M
NHGRI NIH HHS RM1 HG008935NIEHS NIH HHS R01 ES030546
6 · The paper itself

Abstract

The human AlkB family proteins, such as FTO and ALKBH5, are known to mediate RNA m

Indexed as

RNA PrecursorsRNA, TransferAlkB Homolog 5, RNA DemethylaseAlpha-Ketoglutarate-Dependent Dioxygenase FTOHumansMethylationRNARNA, MitochondrialAlkB Homolog 5, RNA DemethylaseAlpha-Ketoglutarate-Dependent Dioxygenase FTOFTO protein, humanRNARNA, MitochondrialRNA PrecursorsRNA, TransferALKBH7EpigeneticsMitochondriaNext-generation SequencingRNA Demethylation

Identifiers

PMID37925186
PMCPMC10882886
OpenAlexW4386476394

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.