Evidence map›Paper›PMID 36533264›Full record

ArticleaBIOTECH2022

The global integrative network: integration of signaling and metabolic pathways.

Yuying Lin, Shen Yan, Xiao Chang, Xiaoquan Qi, Xu Chi

Open access · hybridAbstract read
In one paragraph

Article in aBIOTECH, 2022. 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
0.7field-weighted citation impact, top 33% 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, 8 citations in OpenAlex.

  1. Review
  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

5 authors at 3 institutions in 1 country.

Yuying LinDepartment of Dermatology, Xuan Wu Hospital, Beijing, 100053 China.
Shen YanAgricultural Information Institute, Chinese Academy of Agricultural Science, Beijing, 100081 China.
Xiao ChangDepartment of Dermatology, Xuan Wu Hospital, Beijing, 100053 China.
Xiaoquan QiKey Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093 China.
Xu ChiCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101 China.ORCID 0000-0002-6434-6882
Chinese Academy of Sciences · CNXuan Wu Hospital of the Capital Medical University · CNAgricultural Information Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The crosstalk between signaling and metabolic pathways has been known to play key roles in human diseases and plant biological processes. The integration of signaling and metabolic pathways can provide an essential reference framework for crosstalk analysis. However, current databases use distinct structures to present signaling and metabolic pathways, which leads to the chaos in the integrated networks. Moreover, for the metabolic pathways, the metabolic enzymes and the reactions are disconnected by the current widely accepted layout of edges and nodes, which hinders the topological analysis of the integrated networks. Here, we propose a novel "meta-pathway" structure, which uses the uniformed structure to display the signaling and metabolic pathways, and resolves the difficulty in linking the metabolic enzymes to the reactions topologically. We compiled a comprehensive collection of global integrative networks (GINs) by merging the meta-pathways of 7077 species. We demonstrated the assembly of the signaling and metabolic pathways using the GINs of four species-human, mouse, Supplementary Information: The online version contains supplementary material available at 10.1007/s42994-022-00078-1.

Indexed as

Crosstalk of pathwaysIntegrationMetabolic pathwaysSignaling pathways

Identifiers

PMID36533264
PMCPMC9755797
OpenAlexW4297880324

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.