Evidence map›Paper›PMID 40719884›Full record

ArticleCellular and molecular life sciences : CMLS2025

Quantifying the mRNA epitranscriptome reveals epitranscriptome signatures and roles in cancer.

Ying Feng, Xiaoli He, Mingxin Guo, Ying Tang, Guantong Qi, Qian Huang, Wenran Ma, Hong Chen, Yifan Qin, Ruiqi Li and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Ying FengState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institute of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China.
Xiaoli HeState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institute of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China.
Mingxin GuoState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institute of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China.
Ying TangState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institute of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China.
Guantong QiState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institute of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China.
Qian HuangState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institute of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China.
Wenran MaState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institute of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China.
Hong ChenState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institute of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China.
Yifan QinState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institute of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China.
Ruiqi LiState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institute of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China.
Jin WangState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institute of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China. jinwang@imu.edu.cn.ORCID http://orcid.org/0000-0001-5511-3983
Yu LiuState Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Institute of Biomedical Sciences, School of Life Sciences, Inner Mongolia University, Hohhot, People's Republic of China. yuliu@imu.edu.cn.

Funding

Central Guiding Fund for Local Science and Technology Development 2020ZY0100National Natural Science Foundation of China 31960140National Natural Science Foundation of China 32360147Natural Science Foundation of Inner Mongolia Autonomous Region 2021JQ03the "Grassland Talents" Program of Inner Mongolia Autonomous Region the "Grassland Talents" Program of Inner Mongolia Autonomous Regionthe High-Level Talents Research Support Program of Inner Mongolia Autonomous Region the High-Level Talents Research Support Program of Inner Mongolia Autonomous Regionthe Independent Project of State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock SKL-IT-201830the Inner Mongolia Key Laboratory for Molecular Regulation of the Cell the Inner Mongolia Key Laboratory for Molecular Regulation of the Cellthe "Steed Plan" High-Level Talents Program of Inner Mongolia University the "Steed Plan" High-Level Talents Program of Inner Mongolia Universitythe Young Talents Program of Inner Mongolia University the Young Talents Program of Inner Mongolia UniversityYoung Scientists Fund of the Natural Science Foundation of Inner Mongolia Autonomous Region 2022QN02013
6 · The paper itself

Abstract

Post-transcriptional modifications on mRNA are crucial for mRNA fate and function. The current lack of a comprehensive method for high-coverage and sensitive quantitative analysis of mRNA modifications significantly limits the discovery of new mRNA modifications and understanding mRNA modifications' occurrence, dynamics and function. Here, a highly sensitive, high-throughput and robust LC-MS/MS-based technique, mRQuant, was developed to simultaneously detect and quantify 84 modified ribonucleosides in cellular mRNA. Using mRQuant, we quantified 32-34 modified ribonucleosides across several human cancer and non-cancer cell lines and uncovered cancer- and cancer type-specific signatures. Analyses of cisplatin- and paclitaxel-treated HeLa cells and drug-resistant variants revealed several drug resistance-associated modifications. Among them, m

Indexed as

Epigenesis, GeneticNeoplasmsRNA, MessengerTranscriptomeApoptosisCell Line, TumorChromatography, LiquidCisplatinDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHeLa CellsHumansPaclitaxelProteomicsRNA Processing, Post-TranscriptionalTandem Mass SpectrometryCisplatinPaclitaxelRNA, MessengerCancerDrug resistancem1AmRQuantRNA modification

Identifiers

PMID40719884
PMCPMC12304408

What OpenQuestion holds

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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.