Evidence map›Paper›PMID 33424903›Full record

ArticleFrontiers in plant science2020

Single-Cell RNA Sequencing Efficiently Predicts Transcription Factor Targets in Plants.

Yunjie Xie, Shenfei Jiang, Lele Li, Xiangzhen Yu, Yupeng Wang, Cuiqin Luo, Qiuhua Cai, Wei He, Hongguang Xie, Yanmei Zheng and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  5. Opportunities and challenges in the application of single-cell transcriptomics in plant tissue research.Physiology and molecular biology of plants : an international journal of functional plant biology · 2025
    Review
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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

12 authors at 6 institutions in 1 country.

Yunjie XieCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China.
Shenfei JiangCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China.
Lele LiRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, China.
Xiangzhen YuCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China.
Yupeng WangCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China.
Cuiqin LuoCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China.
Qiuhua CaiRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, China.
Wei HeRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, China.
Hongguang XieRice Research Institute, Fujian Academy of Agricultural Sciences, Fuzhou, China.
Yanmei ZhengCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China.
Huaan XieCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China.
Jianfu ZhangCollege of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China.
Ministry of Agriculture and Rural Affairs · CNFujian Agriculture and Forestry University · CNFujian Academy of Agricultural Sciences · CNChina National Hybrid Rice R&D Central Hunan Hybrid Rice Reserch Center · CNChina National Rice Research Institute · CNState Key Laboratory of Hybrid Rice

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discovering transcription factor (TF) targets is necessary for the study of regulatory pathways, but it is hampered in plants by the lack of highly efficient predictive technology. This study is the first to establish a simple system for predicting TF targets in rice (

Indexed as

expression trajectoryOsNAC78scRNA-seqTF targetstranscription factor

Identifiers

PMID33424903
PMCPMC7793804
OpenAlexW3111701534

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.