Long non-coding RNA sequencing (lncRNA-Seq) is a powerful tool for studying lncRNAs’ functional role in diverse biological processes and human diseases. It enables the exploration of novel transcripts and discovery of regulatory mechanisms governing messenger RNA (mRNA) translation.

There are various applications for lncRNA-seq, such as:

1.Identification of novel lncRNAs

• After identifying transcripts that do not encode proteins as candidate lncRNAs, researchers can identify the specific features, including characteristic secondary structures, such as stem-loops and pseudoknots, or transcripts that are conserved across species.
• Validating novel ncRNAs can be done using a variety of experimental methods, such as Northern blotting or RT-PCR. Once a novel ncRNA is identified, its function can be studied using a variety of experimental methods, such as gene silencing or overexpression studies.

2.Analysis of differential expression of lncRNAs

• Statistical methods are used to calculate expression values for lncRNAs that are differentially expressed between the different groups or conditions. This is typically done using a software package such as DESeq2 or edgeR. Bear in mind that sequencing more samples in both control and experimental groups enhances the statistical power, providing a heightened level of confidence in identifying differentially regulated transcripts for achieving statistical significance. The differentially expressed genes can be visualized by a volcano plot. You can also use the mainstream hierarchical clustering to cluster the fragments per kilobase of transcript per million reads (fpkm) values of genes, and homogenize the row (Z-score).
• The results of the differential expression analysis can be validated using an independent method, such as quantitative real-time PCR (qPCR)

3.Function enrichment analysis

• LncRNA target prediction: Target gene prediction can be performed for all lncRNAs through co-location and co-expression between lncRNA and protein-coding genes. Then, functional enrichment analysis (GO/KEGG) can be performed on target genes of different lncRNAs to predict the main functions of lncRNA.
• Differential lncRNA analysis: Differential lncRNAs can be displayed through the volcano plot and clustering heatmap.
• Enrichment analysis of differential lncRNA target genes: To predict the function of lncRNA, GO and KEGG enrichment analysis can be performed for co-location and co-expression target genes of differential lncRNA, respectively.

4.LncRNA-Seq Solution at Novogene

Novogene provides comprehensive lncRNA-seq services characterized by high quality, affordable prices, and convenient solutions. Through lncRNA-seq analysis, the strand orientation and the regulatory association between lncRNA and targeted mRNA can be investigated, gaining unparalleled insights into lncRNA functions and interactions.

Whether you’re studying developmental biology, disease, or environmental stimuli, such as stress and infection, Novogene’s lncRNA sequencing service is your key to uncover the potential of lncRNAs. So, get ready and push the boundaries of what’s possible with Novogene’s lncRNA-seq services!