Evidence map›Paper›PMID 26243833›Full record

ArticleIET systems biology2015

Systematic functional genomics resource and annotation for poplar.

Jingna Si, Xiyang Zhao, Xinyin Zhao, Rongling Wu

Open access · greenAbstract read
In one paragraph

Article in IET systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Jingna SiCenter for Computational Biology, National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, People's Republic of China. jingnasi@bjfu.edu.cn.
Xiyang ZhaoState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, People's Republic of China.
Xinyin ZhaoCenter for Computational Biology, National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, People's Republic of China.
Rongling WuCenter for Computational Biology, National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing 100083, People's Republic of China.
Beijing Forestry University · CNNortheast Forestry University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Poplar, as a model species for forestry research, has many excellent characteristics. Studies on functional genes have provided the foundation, at the molecular level, for improving genetic traits and cultivating elite lines. Although studies on functional genes have been performed for many years, large amounts of experimental data remain scattered across various reports and have not been unified via comprehensive statistical analysis. This problem can be addressed by employing bioinformatic methodology and technology to gather and organise data to construct a Poplar Functional Gene Database, containing data on 207 poplar functional genes. As an example, the authors investigated genes of Populus euphratica involved in the response to salt stress. Four small cDNA libraries were constructed and treated with 300 mM NaCl or pure water for 6 and 24 h. Using high-throughput sequencing, they identified conserved and novel miRNAs that were differentially expressed. Target genes were next predicted and detailed functional information derived using the Gene Ontology database and Kyoto Encyclopedia of Genes and Genomes pathway analysis. This information provides a primary visual schema allowing us to understand the dynamics of the regulatory gene network responding to salt stress in Populus.

Indexed as

Databases, GeneticModels, GeneticChromosome MappingComputer SimulationGenome, PlantGenomicsPlant ProteinsPopulusSalt-Tolerant PlantsPlant Proteins

Identifiers

PMID26243833
PMCPMC8687384
OpenAlexW2082375733

What OpenQuestion holds

Textmetadata
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.