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Uncovering the transcriptomic and epigenomic landscape of nicotinic receptor genes in non-neuronal tissues

Overview of attention for article published in BMC Genomics, June 2017
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Title
Uncovering the transcriptomic and epigenomic landscape of nicotinic receptor genes in non-neuronal tissues
Published in
BMC Genomics, June 2017
DOI 10.1186/s12864-017-3813-4
Pubmed ID
Authors

Bo Zhang, Pamela Madden, Junchen Gu, Xiaoyun Xing, Savita Sankar, Jennifer Flynn, Kristen Kroll, Ting Wang

Abstract

Nicotinic acetylcholine receptors (nAChRs) play an important role in cellular physiology and human nicotine dependence, and are closely associated with many human diseases including cancer. For example, previous studies suggest that nAChRs can re-wire gene regulatory networks in lung cancer cell lines. However, the tissue specificity of nAChRs genes and their regulation remain unexplored. In this study, we integrated data from multiple large genomic consortiums, including ENCODE, Roadmap Epigenomics, GTEx, and FANTOM, to define the transcriptomic and epigenomic landscape of all nicotinic receptor genes across many different human tissues and cell types. We found that many important nAChRs, including CHRNA3, CHRNA4, CHRNA5, and CHRNB4, exhibited strong non-neuronal tissue-specific expression patterns. CHRNA3, CHRNA5, and CHRNB4 were highly expressed in human colon and small intestine, and CHRNA4 was highly expressed in human liver. By comparing the epigenetic marks of CHRNA4 in human liver and hippocampus, we identified a novel liver-specific transcription start site (TSS) of CHRNA4. We further demonstrated that CHRNA4 was specifically transcribed in hepatocytes but not transcribed in hepatic sinusoids and stellate cells, and that transcription factors HNF4A and RXRA were likely upstream regulators of CHRNA4. Our findings suggest that CHRNA4 has distinct transcriptional regulatory mechanisms in human liver and brain, and that this tissue-specific expression pattern is evolutionarily conserved in mouse. Finally, we found that liver-specific CHRNA4 transcription was highly correlated with genes involved in the nicotine metabolism, including CYP2A6, UGT2B7, and FMO3. These genes were significantly down-regulated in liver cancer patients, whereas CHRNA4 is also significantly down-regulated in cancer-matched normal livers. Our results suggest important non-neuronally expressed nicotinic acetylcholine receptors in the human body. These non-neuronal expression patterns are highly tissue-specific, and are epigenetically conserved during evolution in the context of non-conserved DNA sequence.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 12%
Student > Bachelor 5 12%
Researcher 5 12%
Student > Ph. D. Student 5 12%
Other 4 10%
Other 8 19%
Unknown 10 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 33%
Medicine and Dentistry 6 14%
Agricultural and Biological Sciences 5 12%
Neuroscience 3 7%
Chemistry 2 5%
Other 2 5%
Unknown 10 24%
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 15 June 2017.
All research outputs
#14,940,583
of 22,979,862 outputs
Outputs from BMC Genomics
#6,162
of 10,687 outputs
Outputs of similar age
#188,688
of 317,195 outputs
Outputs of similar age from BMC Genomics
#130
of 215 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,687 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 37th percentile – i.e., 37% 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 317,195 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.