Evidence map›Paper›PMID 41672979›Full record

ArticleSignal transduction and targeted therapy2026

RMzyme: regulations of RNA-modifying enzymes in humans.

Ruihan Luo, Haixia Xu, Qingbo Zhou, Shanli Ding, Min Qiang, Jianguo Wen, Pora Kim, Xiaojuan Yang, Yunshi Cai, Kunlin Xie and 5 more

Abstract read
In one paragraph

Article in Signal transduction and targeted therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

15 authors.

Ruihan Luo *Laboratory of Hepatic AI Translation, Frontier Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Haixia Xu *Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Qingbo Zhou *Laboratory of Hepatic AI Translation, Frontier Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Shanli DingGraduate School of Biomedical Sciences, The University of MD Anderson Cancer Center, Houston, TX, USA.
Min QiangDepartment of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Jianguo WenCenter for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Pora KimCenter for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Xiaojuan YangLaboratory of Hepatic AI Translation, Frontier Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Yunshi CaiLaboratory of Hepatic AI Translation, Frontier Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Kunlin XieLaboratory of Hepatic AI Translation, Frontier Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Jiang ZhuLaboratory of Hepatic AI Translation, Frontier Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0003-4194-2355
Yungang XuDepartment of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, China. yungang.xu@xjtu.edu.cn.ORCID http://orcid.org/0000-0002-9834-3006
Tian LanLaboratory of Hepatic AI Translation, Frontier Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China. blue_sky_land@163.com.
Xiaobo ZhouCenter for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA. xiaobo.zhou@uth.tmc.edu.
Hong WuLaboratory of Hepatic AI Translation, Frontier Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China. wuhong@scu.edu.cn.ORCID http://orcid.org/0000-0002-0885-4911

Funding

Multiscale Resolution and Deep Network Approaches for Deconvolving Different Cell Types in Bulk Tumor using Single-cell Sequencing Data (scDEC)R01CA241930 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHOU, XIAOBO · 2019 to 2023
$2.7M
Microbial-based platform for assessing organ damage in alcohol use disorders (AUD)R01AA032723 · NIAAA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Faraz Bishehsari, Xiaobo Zhou · 2025 to 2026
$1.2M
Optimizing mRNA sequences with deep neural networksR01LM014156 · NLM · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Xiaobo Zhou · 2024 to 2026
$1.1M
Developing mRNAdesigner tool package for optimization of mRNA sequenceR01GM153822 · NIGMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ZHOU, XIAOBO · 2024 to 2025
$624k
NCI NIH HHS R01 CA241930NIAAA NIH HHS R01 AA032723NIGMS NIH HHS R01 GM153822NLM NIH HHS R01 LM014156
6 · The paper itself

Abstract

RNA modifications represent a dynamic layer of gene expression regulation, RNA stability, and translation with profound implications for cellular function and disease. However, the critical regulation and functions of RNA-modifying proteins (RMPs) remain poorly understood. Here, we present a large-scale characterization of RMPs through 378 multiomics datasets encompassing genomics, bulk and single-cell transcriptomics, epitranscriptomics, proteomics, and posttranslational modifications (PTMs) across 63 human tissues. Our analysis of experimental perturbations of RMPs revealed dynamic differential modification peaks and expressed genes. We applied nonnegative matrix factorization to annotate RMP-mediated cell types in single-cell transcriptomes. Functional annotations in acute myeloid leukemia (AML) revealed RMPs such as ALKBH5 as critical mediators of m6A dynamics, influencing pathways involved in translation initiation, immune regulation, and tumorigenesis. We revealed cell type-specific modification patterns, including those in ALKBH5-enriched AML stem cells with special ligand‒receptor interactions and genetic variations modulated by m6A. We integrated proteogenomic data to uncover PTM-associated regulatory, mutation, and protein‒protein interaction networks linked to RMPs. We developed RMzyme, a platform that consolidates our findings and provides insights into RMPs and their downstream effects. This resource is expected to facilitate biomedical research into the molecular mechanisms of human diseases through the lens of RNA modifications and multiomics data integration.

Indexed as

AlkB Homolog 5, RNA DemethylaseLeukemia, Myeloid, AcuteProtein Processing, Post-TranslationalEpitranscriptomeEpitranscriptomicsHumansMultiomicsRNA MethylationTranscriptomeALKBH5 protein, humanAlkB Homolog 5, RNA Demethylase

Identifiers

PMID41672979
PMCPMC12895048

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.