p(HGNC:ESR1)
To confirm the localization of ERα in NFTs, double fluorescence staining with antibodies to ERα and hyperphosphorylated tau (PHF-1) revealed that ERα -positive NFTs were also positive for PHF-1 (Fig. 2A–F). PubMed:26837465
In the hippocampal and cortical tissues of all AD cases examined, neuronal staining for ERα was a prominent finding, both with a weak cytoplasmic stain, but often specifically with a fibrillar appearance suggesting ERα was in neurofibrillary tangles (Fig. 1A), also shown at a higher magnification (Fig. 1B). PubMed:26837465
To confirm the localization of ERα in NFTs, double fluorescence staining with antibodies to ERα and hyperphosphorylated tau (PHF-1) revealed that ERα -positive NFTs were also positive for PHF-1 (Fig. 2A–F). PubMed:26837465
Tau overexpression inhibits transcriptional activity of ERα. PubMed:26837465
In the hippocampal and cortical tissues of all AD cases examined, neuronal staining for ERα was a prominent finding, both with a weak cytoplasmic stain, but often specifically with a fibrillar appearance suggesting ERα was in neurofibrillary tangles (Fig. 1A), also shown at a higher magnification (Fig. 1B). PubMed:26837465
To confirm the localization of ERα in NFTs, double fluorescence staining with antibodies to ERα and hyperphosphorylated tau (PHF-1) revealed that ERα -positive NFTs were also positive for PHF-1 (Fig. 2A–F). PubMed:26837465
To confirm the localization of ERα in NFTs, double fluorescence staining with antibodies to ERα and hyperphosphorylated tau (PHF-1) revealed that ERα -positive NFTs were also positive for PHF-1 (Fig. 2A–F). PubMed:26837465
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.