Evidence map›Paper›PMID 35844237›Full record

ArticleFrontiers in neuroscience2022

Multiplexed Visualization Method to Explore Complete Targeting Regulatory Relationships Among Circadian Genes for Insomnia Treatment.

Tao Li, Zhenyu Liu, Yitong Wang, Dongshi Zuo, Shenyuan Wang, Haitao Ju, Shichao Wang, Yanping Xing, Yu Ling, Chunxia Liu and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2022. 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
0.2field-weighted citation impact, top 55% 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, 2 citations in OpenAlex.

  1. Article
  2. 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

15 authors at 4 institutions in 1 country.

Tao LiInner Mongolia Key Laboratory of Bio-manufacture, College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China.
Zhenyu LiuInner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application of Agriculture and Animal Husbandry, College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China.
Yitong WangDepartment of Neurosurgery, Beijing Hospital, Beijing, China.
Dongshi ZuoInner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application of Agriculture and Animal Husbandry, College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China.
Shenyuan WangInner Mongolia Key Laboratory of Bio-manufacture, College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China.
Haitao JuDepartment of Neurosurgery, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, China.
Shichao WangClinical Genetic Laboratory, First Hospital of Hohhot, Hohhot, China.
Yanping XingInner Mongolia Key Laboratory of Bio-manufacture, College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China.
Yu LingInner Mongolia Key Laboratory of Bio-manufacture, College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China.
Chunxia LiuInner Mongolia Key Laboratory of Bio-manufacture, College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China.
Yanru ZhangInner Mongolia Key Laboratory of Bio-manufacture, College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China.
Huanmin ZhouInner Mongolia Key Laboratory of Bio-manufacture, College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China.
Jun YinInner Mongolia Key Laboratory of Bio-manufacture, College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China.
Junwei CaoInner Mongolia Key Laboratory of Bio-manufacture, College of Life Sciences, Inner Mongolia Agricultural University, Hohhot, China.
Jing GaoInner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application of Agriculture and Animal Husbandry, College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, China.
Inner Mongolia Agricultural University · CNBeijing Hospital · CNHohhot First Hospital · CNInner Mongolia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the complete map of melatonin synthesis, the information transfer network among circadian genes in pineal gland, promises to resolve outstanding issues in endocrine systems and improve the clinical diagnosis and treatment level of insomnia, immune disease and hysterical depression. Currently, some landmark studies have revealed some genes that regulate circadian rhythm associated with melatonin synthesis. However, these studies don't give a complete map of melatonin synthesis, as transfer information among circadian genes in pineal gland is lost. New biotechnology, integrates dynamic sequential omics and multiplexed imaging method, has been used to visualize the complete process of melatonin synthesis. It is found that there are two extremely significant information transfer processes involved in melatonin synthesis. In the first stage, as the light intensity decreased, melatonin synthesis mechanism has started, which is embodied in circadian genes,

Indexed as

circadian genesdynamic sequential omicsinsomniamelatonin synthesistransfer informationvisualization method

Identifiers

PMID35844237
PMCPMC9285005
OpenAlexW4283774416

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.