Evidence map›Paper›PMID 39179701›Full record

ArticleNature plants2024

aChIP is an efficient and sensitive ChIP-seq technique for economically important plant organs.

Qing Zhang, Wenying Zhong, Guangfeng Zhu, Lulu Cheng, Caijun Yin, Li Deng, Yang Yang, Zhengjing Zhang, Jinxiong Shen, Tingdong Fu and 2 more

Abstract read
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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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Lipid regulation inFrontiers in plant science · 2026
    Review
  9. Features of DNA methylome in Capsicum spp.Epigenetics & chromatin · 2025
    Article
  10. Review
  11. aBIOTECH · 2025
    Review
  12. Review
  13. Review
  14. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Qing Zhang *National Key Laboratory of Crop Genetic Improvement, National Engineering Research Center of Rapeseed, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Wenying Zhong *National Key Laboratory of Crop Genetic Improvement, National Engineering Research Center of Rapeseed, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Guangfeng ZhuNational Key Laboratory of Crop Genetic Improvement, National Engineering Research Center of Rapeseed, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Lulu ChengNational Key Laboratory of Crop Genetic Improvement, National Engineering Research Center of Rapeseed, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Caijun YinNational Key Laboratory of Crop Genetic Improvement, National Engineering Research Center of Rapeseed, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Li DengNational Key Laboratory of Crop Genetic Improvement, National Engineering Research Center of Rapeseed, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Yang YangNational Key Laboratory of Crop Genetic Improvement, National Engineering Research Center of Rapeseed, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Zhengjing ZhangShanghai Center for Plant Stress Biology, Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Shanghai, China.
Jinxiong ShenNational Key Laboratory of Crop Genetic Improvement, National Engineering Research Center of Rapeseed, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Tingdong FuNational Key Laboratory of Crop Genetic Improvement, National Engineering Research Center of Rapeseed, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
Jian-Kang ZhuInstitute of Advanced Biotechnology and School of Life Sciences, Southern University of Science and Technology, Shenzhen, China.
Lun ZhaoNational Key Laboratory of Crop Genetic Improvement, National Engineering Research Center of Rapeseed, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China. zhaolun@mail.hzau.edu.cn.ORCID http://orcid.org/0000-0002-8065-9707

Funding

China Postdoctoral Science Foundation 2022M721281National Natural Science Foundation of China (National Science Foundation of China) 31930032National Natural Science Foundation of China (National Science Foundation of China) 32188102National Natural Science Foundation of China (National Science Foundation of China) 32200471National Natural Science Foundation of China (National Science Foundation of China) 32222063National Natural Science Foundation of China (National Science Foundation of China) 32370636
6 · The paper itself

Abstract

Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is crucial for profiling histone modifications and transcription factor binding throughout the genome. However, its application in economically important plant organs (EIPOs) such as seeds, fruits and flowers is challenging due to their sturdy cell walls and complex constituents. Here we present advanced ChIP (aChIP), an optimized method that efficiently isolates chromatin from plant tissues while simultaneously removing cell walls and cellular constituents. aChIP precisely profiles histone modifications in all 14 tested EIPOs and identifies transcription factor and chromatin-modifying enzyme binding sites. In addition, aChIP enhances ChIP efficiency, revealing numerous novel modified sites compared with previous methods in vegetative tissues. aChIP reveals the histone modification landscape for rapeseed dry seeds, highlighting the intricate roles of chromatin dynamics during seed dormancy and germination. Altogether, aChIP is a powerful, efficient and sensitive approach for comprehensive chromatin profiling in virtually all plant tissues, especially in EIPOs.

Indexed as

Chromatin Immunoprecipitation SequencingChromatinChromatin ImmunoprecipitationFlowersFruitHistone CodeSeedsChromatin

Identifiers

What Socratic holds

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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 Socratic graph.