Question: LncRNA Differential Expression and Analysis of lncRNA and mRNA co-expression.
gravatar for conor93
2.3 years ago by
Hong Kong
conor9360 wrote:

Hi All,

I am about to undertake RNA-Seq analysis to assess the lncRNA expression induced in viral infected human cells.

Experimental Conditions: I have three conditions that I need to test; wildtype virus infected, mutant virus infected, and uninfected.

I am able to analyse data up to and including differential expression using DESeq2 but i do wish to assess the relationships between differentially expressed human lncRNA and mRNA. The annotation that i use is from GENCODE (Human Primary Assembly) supplemented with lncRNA annotation from LNCipedia.

I have never done co-expression or network analysis before and i am slightly confused as to how to correlate lncRNA expression with that of mRNA expression. I am aware of the R/Bioconductor Package, WGNCA and have attempted to use it with log2 normalized raw counts generated from HTSeq. However, i am not sure as to how to use the result from WGNCA to assess lncRNA and mRNA relationships.

In my last RNA-Seq experiments I used an unstranded NGS library generated from 9 samples (3 replicates per condition as mentioned above) in my analysis, but i am having difficulty in determining some lncRNA gene expression especially those located at intronic and antisense positions. One suggestion was to use a stranded library for future analysis for these lncRNA gene types, though i am unsure.


  1. What criteria should i select in NGS library preparation to best assess lncRNA differential expression but also to allow for co-expression analysis of lncRNA with mRNA? (strandedness, number of samples, etc)
  2. The raw counts generated from HTSeq include both lncRNA genes and protein coding genes using the above annotation. For DESeq2 analysis would it be of any benefit to extract lncRNA genes from the raw-count data and process them separately rather than process everything together through DESeq2 /WGNCA?

Any feedback would be most appreciated. Thanks.


ADD COMMENTlink modified 2.3 years ago by Kevin Blighe69k • written 2.3 years ago by conor9360

This seems something similar that I am planning to execute. Could you share some insights from your analysis that I should keep in mind while performing the analysis?

ADD REPLYlink written 5 months ago by Arindam Ghosh340
gravatar for Kevin Blighe
2.3 years ago by
Kevin Blighe69k
Republic of Ireland
Kevin Blighe69k wrote:

Dear Conor, just perform WGCNA with the combined lncRNA and mRNA data, and then look at the derived modules to see which lncRNAs are grouped with which mRNAs. There are major limitations to analyses that are just based on correlation (like WGCNA), though.

You may also consider simply looking at your key lncRNAs and determining their experimentally-confirmed mRNA targets (search Biostars and the Web, generally - there are online databases that have this info), and then see if any of the targets are also key mRNAs in your data. Try to think flexibly in relation to the analysis.


ADD COMMENTlink modified 2.3 years ago • written 2.3 years ago by Kevin Blighe69k

Thanks Kevin, will do.

ADD REPLYlink written 2.3 years ago by conor9360

Good work, Conor!

ADD REPLYlink written 2.3 years ago by Kevin Blighe69k
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