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Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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Related Experiment Video

Updated: Mar 9, 2026

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
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Microarray analysis of long noncoding RNA expression patterns in diabetic nephropathy.

Sheng Chen1, Chenglong Dong2, Xiaoxiao Qian1

  • 1Department of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210000,China; Nanjing Medical University, Nanjing, 210029, China.

Journal of Diabetes and Its Complications
|December 24, 2016
PubMed
Summary

Hundreds of long noncoding RNAs (lncRNAs) are altered in diabetic nephropathy (DN). These lncRNAs may play a role in DN development and serve as potential biomarkers for the disease.

Keywords:
BiomarkersDiabetic nephropathyLong noncoding RNAMAPKMicroarray analysis

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Area of Science:

  • Genomics
  • Molecular Biology
  • Nephrology

Background:

  • Long noncoding RNAs (lncRNAs) are involved in numerous biological processes and diseases.
  • Diabetic nephropathy (DN) is a primary cause of end-stage renal disease (ESRD).

Purpose of the Study:

  • To investigate the functional roles of lncRNAs in the pathogenesis of diabetic nephropathy (DN).

Main Methods:

  • Established a mouse model of DN.
  • Utilized microarray analysis to compare lncRNA expression between DN and control kidney tissues.
  • Performed gene ontology and KEGG pathway analyses for functional predictions.
  • Validated findings using quantitative reverse-transcription PCR and cis-/trans-regulation analyses.

Main Results:

  • Identified 311 dysregulated lncRNAs in DN.
  • lncRNA-coexpressed mRNAs were associated with cellular components (Golgi apparatus), molecular functions (catalytic activity), and biological processes (mitotic nuclear division).
  • Enrichment analysis revealed glutathione metabolism signaling pathways.
  • Identified 147 cis-regulatory lncRNAs and suggested trans-regulatory roles for others in DN-related pathways.

Conclusions:

  • Significant dysregulation of numerous lncRNAs occurs in DN.
  • These lncRNAs potentially contribute to DN pathogenesis by influencing multiple molecular pathways.
  • Dysregulated lncRNAs may serve as candidate biomarkers for DN prediction or diagnosis.