r(HGNC:"BACE1-AS")
BACE1‐AS is transcribed by opposite strand BACE1. Its upregulation in patients with Alzheimer’s can be used as a new biomarker for the diagnosis of this disease. PubMed:30663117
Upon exposure to various cell stressors including Aβ 42 , expression of BACE1-AS becomes elevated, increasing BACE1 mRNA stability and generating additional Aβ 42 through a post-transcriptional feed-forward mechanism [74]. PubMed:27288790
BACE1‐AS is transcribed by opposite strand BACE1. Its upregulation in patients with Alzheimer’s can be used as a new biomarker for the diagnosis of this disease. PubMed:30663117
BACE1‐AS is transcribed by opposite strand BACE1. Its upregulation in patients with Alzheimer’s can be used as a new biomarker for the diagnosis of this disease. PubMed:30663117
BACE1‐AS can increase the expression of BACE1 mRNA by increasing its stability, which gives rise to AD PubMed:30663117
It has been reported that downregulation of BACE1‐AS reduces the amount of β‐ameloid and plaques PubMed:30663117
It has been reported that downregulation of BACE1‐AS reduces the amount of β‐ameloid and plaques PubMed:30663117
BACE1-AS regulates BACE1 mRNA and subsequently BACE1 protein expression in vitro and in vivo. PubMed:27288790
Upon exposure to various cell stressors including Aβ 42 , expression of BACE1-AS becomes elevated, increasing BACE1 mRNA stability and generating additional Aβ 42 through a post-transcriptional feed-forward mechanism [74]. PubMed:27288790
BACE1-AS regulates BACE1 mRNA and subsequently BACE1 protein expression in vitro and in vivo. PubMed:27288790
Upon exposure to various cell stressors including Aβ 42 , expression of BACE1-AS becomes elevated, increasing BACE1 mRNA stability and generating additional Aβ 42 through a post-transcriptional feed-forward mechanism [74]. PubMed:27288790
BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.
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.