p(HGNC:CHRNA5)
Moreover, nAChRs containing β4, α2 and α5 in the habenulo-interpeduncular systems are necessary for nicotine withdrawal in mice107 PubMed:19721446
The Hb-IPN system expresses the highest levels and va- riety of nAChR subunits and subtypes in mammalian brain [85], and is the only central system expressing high levels of α3, β4 and α5 subunits. PubMed:28901280
Lee et al. [122] have found that α9 nAChRs are ubiquitously expressed in many epithe- lial, lung and breast cancer cell lines, most of which also express α5 and α10 nAChR subunits. α9 nAChRs are also present in primary tumour and non-malignant breast tissue obtained from patients, but their expression is higher in breast cancer cells than the surrounding normal tissue. PubMed:28901280
Lee et al. [122] have found that α9 nAChRs are ubiquitously expressed in many epithe- lial, lung and breast cancer cell lines, most of which also express α5 and α10 nAChR subunits. α9 nAChRs are also present in primary tumour and non-malignant breast tissue obtained from patients, but their expression is higher in breast cancer cells than the surrounding normal tissue. PubMed:28901280
Notably, mice with a null mutation in the gene that encodes the alpha5 nAChR subunit exhibit enhanced sensitivity to induction of inflammatory bowel disease relative to controls (353). Despite increased sensitivity to disease initiation, administration of transdermal nicotine remains effective in attenuating the disease process. Therefore, again nicotine appears to impact on inflammatory processes with considerable specificity and tissue dependency. PubMed:19126755
On the other hand, neuronal nicotinic receptors are formed by the combination of only two types of subunits (α2-10 and β2-4) PubMed:26813123
Moreover, nAChRs containing β4, α2 and α5 in the habenulo-interpeduncular systems are necessary for nicotine withdrawal in mice107 PubMed:19721446
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If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.