Evidence map›Paper›PMID 28295050›Full record

ArticleScientific reports2017

Network analysis reveals crosstalk between autophagy genes and disease genes.

Ji-Ye Wang, Wei-Xuan Yao, Yun Wang, Yi-Lei Fan, Jian-Bing Wu

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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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.

Ji-Ye WangThe Criminal Science and Technology Department, Zhejiang Police College, 555 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, People's Republic of China.
Wei-Xuan YaoThe Criminal Science and Technology Department, Zhejiang Police College, 555 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, People's Republic of China.
Yun WangThe department of gastroenterology, The First Affiliated Hospital of Xi'an Jiao Tong University, 277 Yanta West Road, Yanta District, Xi'an, Shanxi Province, People's Republic of China.
Yi-Lei FanThe Criminal Science and Technology Department, Zhejiang Police College, 555 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, People's Republic of China.
Jian-Bing WuThe Criminal Science and Technology Department, Zhejiang Police College, 555 Binwen Road, Binjiang District, Hangzhou, Zhejiang Province, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagy is a protective and life-sustaining process in which cytoplasmic components are packaged into double-membrane vesicles and targeted to lysosomes for degradation. Accumulating evidence supports that autophagy is associated with several pathological conditions. However, research on the functional cross-links between autophagy and disease genes remains in its early stages. In this study, we constructed a disease-autophagy network (DAN) by integrating known disease genes, known autophagy genes and protein-protein interactions (PPI). Dissecting the topological properties of the DAN suggested that nodes that both autophagy and disease genes (inter-genes), are topologically important in the DAN structure. Next, a core network from the DAN was extracted to analyze the functional links between disease and autophagy genes. The genes in the core network were significantly enriched in multiple disease-related pathways, suggesting that autophagy genes may function in various disease processes. Of 17 disease classes, 11 significantly overlapped with autophagy genes, including cancer diseases, metabolic diseases and hematological diseases, a finding that is supported by the literatures. We also found that autophagy genes have a bridging role in the connections between pairs of disease classes. Altogether, our study provides a better understanding of the molecular mechanisms underlying human diseases and the autophagy process.

Indexed as

AutophagyComputational BiologyHumansLysosomesNeoplasmsProtein Interaction Maps

Identifiers

PMID28295050
PMCPMC5353691

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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.