Help explain novel lncRNA results
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6.6 years ago
Sharon ▴ 610

Dear all

I need a help understanding this please I am new to long non coding RNA and my background is computational.

When I run a lncRNA tool to detect a novel lncRNA, it finds a lncRNA x for example. when I look this x up in public data bases it is annotated as protein coding.
Does this mean the tool has a new evidence that makes x a lncRNA not protein coding?

And most tools runs per trancsript. When I annotate the transcripts, we can have a gene found say in 5 transcripts. 2 of those transcripts are predicted as non coding and the rest as coding. can I safely say, this gene is a lncRNA, or all the transcripts that the gene span have to be non coding to say the gene is a lncRNA? The goal is to find differentially expressed lncRNA at some point.

Thanks

lncRNA RNA-Seq • 1.9k views
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when I look this x up in public data bases it is annotated as protein coding. Does this mean the tool has a new evidence that makes x a lncRNA not protein coding?

You need to be careful and look at the underlying data. If there is experimental evidence to support that then it does not matter what a computer program says ... the experimental evidence wins. There is a slim chance the experimental data is wrong but if it is human curated (and has multiple independent instances of evidence) then it should be trustworthy.

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Good point too Genomax, I can check this too ! Thanks so much :)

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Hey again Sharon, how did you identify the lncRNA? Just because some program identifies it as such is not proof, in my opinion, that it may never be translated into a protein or protein domain. It may lack the key sequences that allow for translation to happen, but you have not mentioned which program you've used, so, I don't know if the program takes such information into account.

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Hi Kevin Thanks so much. I used lncScore https://www.nature.com/articles/srep34838.pdf?origin=ppub how do you think?

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Hi Sharon, I have to say that I am a fan of Kai Wang and he has a good reputation in the field. I was not aware of this manuscript by his group but it seems pretty convincing. For starters, the tool uses HISAT2 / StringTie (or Trinity de novo assembler) and then appears to predict a transcript's potential of being a lncRNA based on a model that they have produced from current known lncRNAs, plus other key features.

You likely have a score assigned to each of your transcripts, indicating the likelihood that it is a lncRNA.

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Great thanks, as a start I ran that using tophat cufflink transcripts we already have (just to have a quick sense of water). I am having another pipeline using Hisat is running to get better transcripts to use with lncScore. Thanks a lot for your feedback Kevin. Much appreciated as usual.

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