ReviewBriefings in bioinformatics2017
Long non-coding RNAs and complex diseases: from experimental results to computational models.
Review in Briefings in bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 318 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
318 citing papers in PubMed, 2 syntheses or guidelines pooled it, 583 citations in OpenAlex.
- Pooled it
- Prognostic and clinicopathological significance of SNHG6 in human cancers: a meta-analysis.BMC cancer · 2020Pooled it
- DSGCNLDA: A Multi-view Learning Model with DualScope Attention for lncRNA-Disease Association Prediction.Interdisciplinary sciences, computational life sciences · 2026Article
- Computational Method Using Attribute-Aware Message Passing and Graph Convolutional Network for Potential miRNA-Disease Association Prediction.International journal of molecular sciences · 2026Article
- The hidden players: LncRNA-Encoded micropeptides in cancer hallmarks.Cellular and molecular life sciences : CMLS · 2026Review
- HiGLDP: a hierarchical graph neural network for predicting lncRNA-disease associations through multi-omic integration.BMC biology · 2026Article
- Inflammation, cell death, and lncRNAs: unraveling the mechanisms of sepsis-associated acute kidney injury.Frontiers in immunology · 2026Review
- Revealing new associations between lncRNAs and diseases through cross attention mechanism and multiple level feature fusion.Scientific reports · 2025Article
- LDA-SCGB: inferring lncRNA-disease associations based on condensed gradient boosting.BMC bioinformatics · 2025Article
- Predicting lncRNA and disease associations with graph autoencoder and noise robust gradient boosting.Scientific reports · 2025Article
- HGCMLDA: predicting lncRNA-disease associations using hypergraph contrastive learning and multi-scale attentional feature fusion.Briefings in bioinformatics · 2025Article
- Identification and Validation of a m6A-Related Long Noncoding RNA Prognostic Model in Colorectal Cancer.Journal of cellular and molecular medicine · 2025Article
- Harnessing EVs-ncRNA for Lung Cancer: From Oncogenic Pathways to Novel Diagnostic and Therapeutic Strategies.International journal of nanomedicine · 2025Review
- Article
- A novel end-to-end learning framework for inferring lncRNA-disease associations based on convolution neural network.Frontiers in genetics · 2025Article
- Long Non-Coding RNA LINC01116 Promotes the Proliferation of Lung Adenocarcinoma by Targeting miR-9-5p/CCNE1 Axis.Journal of cellular and molecular medicine · 2024Article
- SE-lncRNAs in Cancer: Classification, Subcellular Localisation, Function and Corresponding TFs.Journal of cellular and molecular medicine · 2024Review
- The improved de Bruijn graph for multitask learning: predicting functions, subcellular localization, and interactions of noncoding RNAs.Briefings in bioinformatics · 2024Article
- A redox-related lncRNA signature in bladder cancer.Scientific reports · 2024Article
- Prediction of miRNA-disease association based on multisource inductive matrix completion.Scientific reports · 2024Article
258 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
LncRNAs have attracted lots of attentions from researchers worldwide in recent decades. With the rapid advances in both experimental technology and computational prediction algorithm, thousands of lncRNA have been identified in eukaryotic organisms ranging from nematodes to humans in the past few years. More and more research evidences have indicated that lncRNAs are involved in almost the whole life cycle of cells through different mechanisms and play important roles in many critical biological processes. Therefore, it is not surprising that the mutations and dysregulations of lncRNAs would contribute to the development of various human complex diseases. In this review, we first made a brief introduction about the functions of lncRNAs, five important lncRNA-related diseases, five critical disease-related lncRNAs and some important publicly available lncRNA-related databases about sequence, expression, function, etc. Nowadays, only a limited number of lncRNAs have been experimentally reported to be related to human diseases. Therefore, analyzing available lncRNA-disease associations and predicting potential human lncRNA-disease associations have become important tasks of bioinformatics, which would benefit human complex diseases mechanism understanding at lncRNA level, disease biomarker detection and disease diagnosis, treatment, prognosis and prevention. Furthermore, we introduced some state-of-the-art computational models, which could be effectively used to identify disease-related lncRNAs on a large scale and select the most promising disease-related lncRNAs for experimental validation. We also analyzed the limitations of these models and discussed the future directions of developing computational models for lncRNA research.
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Registered trials
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.