Evidence map›Paper›PMID 38997433›Full record

ArticleNature plants2024

Mass spectrometry-based proteomic landscape of rice reveals a post-transcriptional regulatory role of N

Shang-Tong Li, Yunzhuo Ke, Yunke Zhu, Tian-Yi Zhu, Huanwei Huang, Linxia Li, Zhiyang Hou, Xuemin Zhang, Yaping Li, Chaofan Liu and 9 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature plants, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. NNature plants · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Biology · 2026
    Article
  8. Proteomics-based multi-omics reveals mPlant communications · 2025
    Article
  9. Review
  10. Landscape and mCell genomics · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The variegatedComputational and structural biotechnology journal · 2024
    Article
  16. Strategies for RNA mFrontiers in plant science · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Shang-Tong Li *Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-1080-3275
Yunzhuo Ke *Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Yunke Zhu *Biotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-4266-373X
Tian-Yi Zhu *Zhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China.
Huanwei HuangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Linxia LiBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Zhiyang HouBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Xuemin ZhangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Yaping LiBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Chaofan LiuBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Xiulan LiBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.
Mengjia XieGlbizzia Biosciences, Beijing, China.
Lianqi ZhouZhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China.
Chen MengBavarian Biomolecular Mass Spectrometry Center, Technical University of Munich, Freising, Germany.
Faming WangDepartment of Biosystems, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-2945-4685
Xiaofeng GuBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China.ORCID http://orcid.org/0000-0003-1127-4261
Bing YangZhejiang Provincial Key Laboratory for Cancer Molecular Cell Biology, Life Sciences Institute, Zhejiang University, Hangzhou, China. bingyang@zju.edu.cn.ORCID http://orcid.org/0000-0001-6739-2932
Hao YuDepartment of Biological Sciences and Temasek Life Sciences Laboratory, National University of Singapore, Singapore, Singapore. dbsyuhao@nus.edu.sg.ORCID http://orcid.org/0000-0002-9778-8855
Zhe LiangBiotechnology Research Institute, Chinese Academy of Agricultural Sciences, Beijing, China. liangzhe@caas.cn.ORCID http://orcid.org/0000-0001-6872-6463

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is one of the most important staple food and model species in plant biology, yet its quantitative proteomes are largely uncharacterized. Here we quantify the relative protein levels of over 15,000 genes across major rice tissues using a tandem mass tag strategy followed by intensive fractionation and mass spectrometry. We identify tissue-specific and tissue-enriched proteins that are linked to the functional specificity of individual tissues. Proteogenomic comparison of rice and Arabidopsis reveals conserved proteome expression, which differs from mammals in that there is a strong separation of species rather than tissues. Notably, profiling of N

Indexed as

AdenosineOryzaProteomicsArabidopsisGene Expression Regulation, PlantMass SpectrometryMethylationPlant ProteinsProteomeAdenosineN-methyladenosinePlant ProteinsProteome

Identifiers

PMID38997433

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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.