The advent of deep sequencing technologies has provided us with an unprecedented view of the human genome. Over 85 % of the genome is actively transcribed, yet we do not know the function of the vast majority of these RNA transcripts. Long noncoding RNAs (lncRNA) represent the largest group of RNA genes transcribed in the cell and currently there is limited experimental data supporting the functions of a very small proportion of these transcripts. lncRNA are expressed in a highly cell type specific manner and our interests involve understanding the role they play in innate immune signaling networks. In this chapter I will outline the approach we took to attempt to uncover the role for lncRNA in innate immune cells. Two of the main techniques required to study lncRNA are RNA-seq and loss of function analysis. This allows us to first identify all lncRNA in a cell type of choice and then try to determine the functional significance of these transcripts. This approach has been successful for us to date in identifying lincRNA-Cox2 as a highly inflammatory inducible lncRNA that is responsible for activation and repression of distinct immune genes.
This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 February 2016.
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#6,856,618
of 24,119,703 outputs
Outputs from Methods in molecular biology
#2,056
of 13,610 outputs
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#105,930
of 402,030 outputs
Outputs of similar age from Methods in molecular biology
#235
of 1,462 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 13,610 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 402,030 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 1,462 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.
