Evidence map›Paper›PMID 31835855›Full record

ArticleGenes2019

Identification of Shoot Differentiation-Related Genes in

Yaru Fu, Tianyu Dong, Lizhi Tan, Danni Yin, Miaomiao Zhang, Guomiao Zhao, Meixia Ye, Rongling Wu

Open access · goldAbstract read
In one paragraph

Article in Genes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

8 authors at 1 institution in 2 countries.

Yaru FuCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Tianyu DongCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Lizhi TanCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Danni YinCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Miaomiao ZhangCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Guomiao ZhaoCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Meixia YeCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Rongling WuCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.
Beijing Forestry University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

De novo shoot regeneration is one of the important manifestations of cell totipotency in organogenesis, which reflects a survival strategy organism evolved when facing natural selection. Compared with tissue regeneration, and somatic embryogenesis, de novo shoot regeneration denotes a shoot regeneration process directly from detatched or injured tissues of plant. Studies on plant shoot regeneration had identified key genes mediating shoot regeneration. However, knowledge was derived from

Indexed as

Cell DifferentiationGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantOrganogenesis, PlantPlant Growth RegulatorsPlant ShootsPopulusSequence Analysis, RNATranscriptomePlant Growth Regulatorsdifferentially expressed gene (DEG)Populus euphratica Oliv.RNA-Seqshoot regeneration

Identifiers

PMID31835855
PMCPMC6947848
OpenAlexW2995125007

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.