Evidence map›Paper›PMID 38003041›Full record

ArticleGenes2023

Transcriptomic Analysis Reveals

Miaomiao Liu, Guang Yang, Wenlong Zhou, Xianbang Wang, Qiang Han, Jiange Wang, Guihua Huang

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 3 institutions in 1 country.

Miaomiao LiuResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China.
Guang YangResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China.
Wenlong ZhouResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China.
Xianbang WangResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China.
Qiang HanResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China.
Jiange WangCollege of Forestry, Jiangxi Agricultural University, Nanchang 330045, China.
Guihua HuangResearch Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China.
Research Institute of Tropical Forestry · CNChinese Academy of Forestry · CNJiangxi Agricultural University · CN

Funding

National Extension Project of Forestry and Grassland Scientific and Technological Achievements 2020133113
6 · The paper itself

Abstract

Teak is a rare tropical tree with high economic value, and it is one of the world's main afforestation trees. Low temperature is the main problem for introducing and planting this species in subtropical or temperate zones. Low-temperature acclimation can enhance the resistance of teak to low-temperature stress, but the mechanism for this is still unclear. We studied the gene expression of two-year-old teak seedlings under a rapid temperature drop from 20 °C to 4 °C using RNA-seq and WGCNA analyses. The leaves in the upper part of the plants developed chlorosis 3 h after the quick transition, and the grades of chlorosis were increased after 9 h, with the addition of water stains and necrotic spots. Meanwhile, the SOD and proline contents in teak leaves increased with the prolonged cold stress time. We also identified 36,901 differentially expressed genes, among which 1055 were novel. Notably,

Indexed as

Anemia, HypochromicArabidopsisArabidopsis ProteinsChild, PreschoolCold TemperatureHumansTemperatureTrans-ActivatorsTranscriptomeArabidopsis ProteinsCBF4 protein, ArabidopsisTrans-ActivatorsCBF-dependent pathwayCBF-independent pathwaylow temperature stressteak (Tectona grandis)transcriptome

Identifiers

PMID38003041
PMCPMC10670985
OpenAlexW4388795300

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.