Evidence map›Paper›PMID 37850650›Full record

ArticleNucleic acids research2023

Sea-ATI unravels novel vocabularies of plant active cistrome.

Chenjin Wen, Zhen Yuan, Xiaotian Zhang, Hao Chen, Lin Luo, Wanying Li, Tian Li, Nana Ma, Fei Mao, Dongmei Lin and 6 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. aBIOTECH · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. A Spatiotemporal Transcriptome Reveals Stalk Development in Pearl Millet.International journal of molecular sciences · 2024
    Article
  9. 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

16 authors.

Chenjin WenCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.
Zhen YuanCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.
Xiaotian ZhangCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.
Hao ChenCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.
Lin LuoCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.
Wanying LiCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.
Tian LiCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.
Nana MaCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.
Fei MaoCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.
Dongmei LinCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.
Zhanxi LinCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.
Chentao LinCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.
Tongda XuCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.ORCID 0000-0003-3398-9217
Peitao LüCollege of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.ORCID 0000-0002-4894-6458
Juncheng LinCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.ORCID 0000-0002-5795-1099
Fangjie ZhuCollege of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China.ORCID 0000-0002-0143-5765

Funding

2020 Award Program for Min River Scholar in FujianConstruction of Plateau Discipline of Fujian Province 102/71201801101Fujian Agriculture and Forestry University xjq202015Fujian Agriculture and Forestry University XKJC-712021030Major Special Project of Fujian 2021NZ029009National Natural Science Foundation of China 32000448National Natural Science Foundation of China 32170554Natural Science Foundation of Fujian 2022J06017
6 · The paper itself

Abstract

The cistrome consists of all cis-acting regulatory elements recognized by transcription factors (TFs). However, only a portion of the cistrome is active for TF binding in a specific tissue. Resolving the active cistrome in plants remains challenging. In this study, we report the assay sequential extraction assisted-active TF identification (sea-ATI), a low-input method that profiles the DNA sequences recognized by TFs in a target tissue. We applied sea-ATI to seven plant tissues to survey their active cistrome and generated 41 motif models, including 15 new models that represent previously unidentified cis-regulatory vocabularies. ATAC-seq and RNA-seq analyses confirmed the functionality of the cis-elements from the new models, in that they are actively bound in vivo, located near the transcription start site, and influence chromatin accessibility and transcription. Furthermore, comparing dimeric WRKY CREs between sea-ATI and DAP-seq libraries revealed that thermodynamics and genetic drifts cooperatively shaped their evolution. Notably, sea-ATI can identify not only positive but also negative regulatory cis-elements, thereby providing unique insights into the functional non-coding genome of plants.

Indexed as

PlantsTranscription FactorsVocabularyChromatinProtein BindingRegulatory Sequences, Nucleic AcidChromatinTranscription Factors

Identifiers

PMID37850650
PMCPMC10681729

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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.