Evidence map›Paper›PMID 27037912›Full record

ArticleCell proliferation2016

GAMDB: a web resource to connect microRNAs with autophagy in gerontology.

Lan Zhang, Tao Xie, Mao Tian, Jingjing Li, Sicheng Song, Liang Ouyang, Bo Liu, Haoyang Cai

Abstract read
In one paragraph

Article in Cell proliferation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

8 citing papers in PubMed.

  1. Autophagy3D: a comprehensive autophagy structure database.Database : the journal of biological databases and curation · 2024
    Article
  2. Review
  3. Article
  4. Article
  5. What We Learned From Big Data for Autophagy Research.Frontiers in cell and developmental biology · 2018
    Review
  6. Review
  7. Review
  8. 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

8 authors.

Lan ZhangState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy, Chengdu, 610041, China.
Tao XieState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy, Chengdu, 610041, China.
Mao TianState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy, Chengdu, 610041, China.
Jingjing LiState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy, Chengdu, 610041, China.
Sicheng SongState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy, Chengdu, 610041, China.
Liang OuyangState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy, Chengdu, 610041, China.
Bo LiuState Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, and Collaborative Innovation Center of Biotherapy, Chengdu, 610041, China.
Haoyang CaiCenter of Growth, Metabolism, and Aging, Key Laboratory of Bio-Resources and Eco-Environment, College of Life Sciences, Sichuan University, Chengdu, 610064, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMicroRNAs (miRNAs) are endogenous ~23 nucleotides (nt) RNAs, regulating gene expression by pairing to the mRNAs of protein-coding genes to direct their post-transcriptional repression. Both in normal and aberrant activities, miRNAs contribute to a recurring paradigm of cellular behaviors in pathological settings, especially in gerontology. Autophagy, a multi-step lysosomal degradation process with function to degrade long-lived proteins and damaged organelles, has significant impact on gerontology. Thus, elucidating how miRNAs participate in autophagy may enlarge the scope of miRNA in autophagy and facilitate researches in gerontology. MATERIALS AND

methodsHerein, based upon the published studies, predicted targets and gerontology-related diseases, we constructed a web resource named Gerontology-Autophagic-MicroRNA Database (GAMDB) (http://gamdb.liu-lab.com/index.php), which contained 836 autophagy-related miRNAs, 197 targeted genes/proteins and 56 aging-related diseases such as Parkinson' disease, Alzheimer's disease and Huntington's disease. RESULTS AND

conclusionWe made use of large amounts of data to elucidate the intricate relationships between microRNA-regulated autophagic mechanisms and gerontology. This database will facilitate better understanding of autophagy regulation network in gerontology and thus promoting gerontology-related therapy in the future.

Indexed as

Databases, Nucleic AcidAlzheimer DiseaseAutophagyGeriatricsHumansHuntington DiseaseInternetMicroRNAsParkinson DiseaseMicroRNAs

Identifiers

PMID27037912
PMCPMC6496910

What OpenQuestion holds

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Registered trials

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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.