Evidence map›Paper›PMID 40957953›Full record

ArticleNature chemistry2025

Photocatalytic labelling-enabled subcellular-resolved RNA profiling and synchronous multi-omics investigation.

Yunpeng Bi, Lishan Yu, Qidong Deng, Linghao Kong, Fuhu Guo, Yuchen Zhang, Ruixiang Wang, Peng R Chen, Jun Liu, Xinyuan Fan

Abstract read
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Article in Nature chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

10 authors.

Yunpeng Bi *Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.
Lishan Yu *State Key Laboratory of Gene Function and Modulation Research, School of Life Sciences, Peking University, Beijing, China.
Qidong Deng *State Key Laboratory of Gene Function and Modulation Research, School of Life Sciences, Peking University, Beijing, China.ORCID 0000-0002-5070-8715
Linghao KongPeking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.ORCID 0000-0002-3589-3959
Fuhu GuoSynthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.
Yuchen ZhangState Key Laboratory of Gene Function and Modulation Research, School of Life Sciences, Peking University, Beijing, China.ORCID 0009-0002-2600-7430
Ruixiang WangPeking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
Peng R ChenSynthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China. pengchen@pku.edu.cn.ORCID 0000-0002-0402-7417
Jun LiuState Key Laboratory of Gene Function and Modulation Research, School of Life Sciences, Peking University, Beijing, China. junliu1223@pku.edu.cn.ORCID 0000-0002-2498-9963
Xinyuan FanSynthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China. xinyuanfan@pku.edu.cn.ORCID 0000-0002-3099-8495

Funding

Beijing Nova Program Z211100002121011, 20230484442, Z221100007422046Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2022YFA1304700, 2023YFC3402200, 2024YFA0917503, 2023YFA1506501, 2024YFA1107000Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2023YFC3402200National Natural Science Foundation of China (National Science Foundation of China) 22222701, 32170595, 92478119, 22321005, 92253301, 22137001
6 · The paper itself

Abstract

Understanding cellular functions in health and disease requires dissecting spatiotemporal variations in the subcellular transcriptome. Existing methods for mitochondrial RNA profiling suffer from limitations, including low resolution, contamination and dependence on genetic manipulation. Here we present a bioorthogonal photocatalytic labelling and sequencing strategy (CAT-seq) that enables high-resolution, in situ profiling of mitochondrial RNA in living cells without genetic manipulation. We identified a quinone methide probe for efficient RNA labelling. Rigorous validation and optimization enabled CAT-seq to successfully profile mitochondrial RNA and track RNA dynamics in HeLa cells. We further applied CAT-seq to the challenging RAW 264.7 macrophages, revealing an underlying mitochondrial translational remodelling pathway. By leveraging the chemistry of quinone methide warheads, we established an orthogonal labelling system enabling synchronous RNA and protein multi-omics profiling within the same sample. Together, assisted by bioorthogonal photocatalytic chemistry, CAT-seq offers a general, non-genetic and well-compatible approach for subcellular-resolved RNA and multi-omics investigations, particularly in studies of intact primary living samples that are otherwise challenging to access.

Indexed as

RNARNA, MitochondrialAnimalsCatalysisHeLa CellsHumansMiceMultiomicsPhotochemical ProcessesRAW 264.7 CellsSequence Analysis, RNAStaining and LabelingRNARNA, Mitochondrial

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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.