Evidence map›Paper›PMID 40647957›Full record

ArticlePlants (Basel, Switzerland)2025

Validation of Fiber-Dominant Expressing Gene Promoters in

Mengjie Guo, Ruxia Wang, Bo Wang, Wenjing Xu, Hui Hou, Hao Cheng, Yun Zhang, Chong Wang, Yuxiang Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Plants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Mengjie GuoState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Ruxia WangState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Bo WangState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Wenjing XuState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Hui HouState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Hao ChengState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Yun ZhangState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Chong WangState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Yuxiang ChengState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.ORCID 0000-0002-8530-6687

Funding

China Postdoctoral Science Foundation 2024M760391Postdoctoral Fellowship Program of CPSF GZC20230399the National Key Research and Development Program of China 2022YFD2200104
6 · The paper itself

Abstract

Wood is an important raw material for industrial applications. Its fiber-specific genetic modification provides an effective strategy to alter wood characteristics in tree breeding. Here, we performed a cross-analysis of previously reported single-cell RNA sequencing and the AspWood database during wood formation to identify potential xylem fiber-dominant expressing genes in poplar. As a result, 32 candidate genes were obtained, and subsequently, we further examined the expression of these genes in fibers and/or vessels of stem secondary xylem using the laser capture microdissection technique and RT-qPCR. Analysis identified nine candidate genes, including

Indexed as

GUS activitylaser capture microdissectionpoplarsingle-cell RNA sequencingtissue-specific promoterwood fiber

Identifiers

PMID40647957
PMCPMC12252207

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.