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Expression and regulation of long noncoding RNAs in TLR4 signaling in mouse macrophages

Overview of attention for article published in BMC Genomics, February 2015
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Title
Expression and regulation of long noncoding RNAs in TLR4 signaling in mouse macrophages
Published in
BMC Genomics, February 2015
DOI 10.1186/s12864-015-1270-5
Pubmed ID
Authors

Ai-Ping Mao, Jun Shen, Zhixiang Zuo

Abstract

BackgroundThough long non-coding RNAs (lncRNAs) are emerging as critical regulators of immune responses, whether they are involved in LPS-activated TLR4 signaling pathway and how is their expression regulated in mouse macrophages are still unexplored.ResultsBy repurposing expression microarray probes, we identified 994 lncRNAs in bone marrow-derived macrophages (BMDMs) and classified them to enhancer-like lncRNAs (elncRNAs) and promoter-associated lncRNAs (plncRNAs) according to chromatin signatures defined by relative levels of H3K4me1 and H3K4me3. Fifteen elncRNAs and 12 plncRNAs are differentially expressed upon LPS stimulation. The expression change of lncRNAs and their neighboring protein-coding genes are significantly correlated. Also, the regulation of both elncRNAs and plncRNAs expression is associated with H3K4me3 and H3K27Ac. Crucially, many identified LPS-regulated lncRNAs, such as lncRNA-Nfkb2 and lncRNA-Rel, locate near to immune response protein-coding genes. The majority of LPS-regulated lncRNAs had at least one binding site among the transcription factors p65, IRF3, JunB and cJun.ConclusionsWe established an integrative microarray analysis pipeline for profiling lncRNAs. Also, our results suggest that lncRNAs can be important regulators of LPS-induced innate immune response in BMDMs.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 36%
Researcher 8 18%
Student > Master 7 16%
Student > Doctoral Student 3 7%
Student > Postgraduate 3 7%
Other 6 13%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 33%
Biochemistry, Genetics and Molecular Biology 13 29%
Immunology and Microbiology 7 16%
Medicine and Dentistry 3 7%
Business, Management and Accounting 1 2%
Other 4 9%
Unknown 2 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 16 December 2015.
All research outputs
#14,213,706
of 22,786,691 outputs
Outputs from BMC Genomics
#5,697
of 10,647 outputs
Outputs of similar age
#187,273
of 352,181 outputs
Outputs of similar age from BMC Genomics
#131
of 248 outputs
Altmetric has tracked 22,786,691 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,647 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 352,181 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 248 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.