ArticleOncotarget2017
RNA-sequencing reveals genome-wide long non-coding RNAs profiling associated with early development of diabetic nephropathy.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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Who cites it
8 citing papers in PubMed, 15 citations in OpenAlex.
- Inflammation-related lncRNAs in the regulation of kidney injuries; special emphasis on novel lncRNA-based delivery platforms.Naunyn-Schmiedeberg's archives of pharmacology · 2026Review
- Long non-coding RNAs in metabolic disorders: pathogenetic relevance and potential biomarkers and therapeutic targets.Journal of endocrinological investigation · 2021Review
- Article
- Predicting lincRNA-Disease Association in Heterogeneous Networks Using Co-regularized Non-negative Matrix Factorization.Frontiers in genetics · 2020Article
- Gene expression profiling analysis reveals that the long non‑coding RNA uc.412 is involved in mesangial cell proliferation.Molecular medicine reports · 2019Article
- Long Non-Coding RNAs in Kidney Disease.International journal of molecular sciences · 2019Review
- Downregulation of lncRNA NEAT1 inhibits mouse mesangial cell proliferation, fibrosis, and inflammation but promotes apoptosis in diabetic nephropathy.International journal of clinical and experimental pathology · 2019Article
- Noncoding RNAs as therapeutic targets in early stage diabetic kidney disease.Kidney research and clinical practice · 2018Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetic nephropathy (DN) seriously threatens the lives of patients, and the mechanism of DN remains largely unknown because of the complex regulation between long non-coding RNA (lncRNA) and protein-coding genes. In early development of diabetic nephropathy (DN), pathogenesis remains largely unknown.
resultsWe used RNA-sequencing to profile protein-coding and lncRNA gene transcriptome of mouse kidney proximal tubular cells during early stage of DN at various time points. Over 7000 protein-coding and lncRNA genes were differentially expressed, and most of them were time-specific. Nearly 40% of lncRNA genes overlapped with functional element signals using CHIP-Seq data from ENCODE database. Disease progression was characterized by lncRNA expression patterns, rather than protein-coding genes, indicating that the lncRNA genes are potential biomarkers for DN. For gene ontologies related to kidney, enrichment was observed in protein-coding genes co-expressed with neighboring lncRNA genes. Based on protein-coding and lncRNA gene profiles, clustering analysis reveals dynamic expression patterns for kidney, suggesting that they are highly correlated during disease progression. To evaluate translation of mouse model to human conditions, we experimentally validated orthologous genes in human cells
conclusionsThese results define dynamic transcriptome and novel functional roles for lncRNAs in diabetic kidney cells; these roles may result in lncRNA-based diagnosis and therapies for DN.
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