The gene for choline acetyltransferase, synthesizing acetylcholine, is induced by several neurotrophic factors. A role for AP-2 in enhancing this transcription and limiting it to neural cells is strongly suggested. Previous studies demonstrated that base pairs +465-727 within the untranslated exon 1 of the porcine gene enhanced the expression of a reporter gene transfected into PC-12 cells. Deletion and mutation experiments indicate that base pairs +465-472 (CCGCGGGG) in the porcine gene, or +307-314 (CCTCGGGG) in the human sequence, were necessary and sufficient for increased gene expression in cholinergic or adrenergic but not liver cells. Constructs containing active sequences, but not inactive mutated sequences, specifically bind nuclear proteins from neuroblastoma cells, but not liver cells, in gel shift experiments. The human and porcine sequences are in agreement with an AP-2 consensus binding sequence, a nuclear transcription factor expressed only in cells derived from the neural crest. Gel shift experiments using recombinant AP-2 confirm this identification. AP-2 antibody further retarded the mobility of these DNA-nuclear extract or DNA-AP-2 complexes. These results support the importance of this AP-2 binding sequence in enhancing and limiting choline acetyltransferase expression in neural cells.
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http://dx.doi.org/10.1016/s0306-4522(96)00401-0 | DOI Listing |
Breast Cancer Res
January 2025
Department of Epidemiology (EM, JEB) and Nutrition (KJM), Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Kresge 505-B, Boston, MA, 02115, USA.
Background: Alcohol intake is associated with a higher risk of estrogen receptor-positive (ER+) breast cancer (BC), presumably through its confirmed ability to increase sex hormone levels. Whether consuming alcohol within the recommended limit of one serving per day increases sex hormone levels among postmenopausal women taking aromatase inhibitors (AI) to inhibit estrogen production remains unknown. Therefore, we compared sex hormone levels following white wine to levels following white grape juice among ER + BC survivors taking AIs.
View Article and Find Full Text PDFBiomark Res
January 2025
Institute of Biochemistry and Molecular Biology, College of Life Sciences, China Medical University, Taichung, Taiwan.
Background: Up to 23% of breast cancer patients recurred within a decade after trastuzumab treatment. Conversely, one trial found that patients with low HER2 expression and metastatic breast cancer had a positive response to trastuzumab-deruxtecan (T-Dxd). This indicates that relying solely on HER2 as a single diagnostic marker to predict the efficacy of anti-HER2 drugs is insufficient.
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou, 520521, China.
Background: Calmodulin-binding transcription activator (CAMTA) proteins play significant roles in signal transduction, growth and development, as well as abiotic stress responses, in plants. Understanding their involvement in the low-temperature stress response of teak is vital for revealing cold resistance mechanisms.
Results: Through bioinformatics analysis, the CAMTA gene family in teak was examined, and six CAMTA genes were identified in teak.
Commun Biol
January 2025
Key Laboratory of Breeding Biotechnology and Sustainable Aquaculture, Institute of Hydrobiology, Chinese Academy of Sciences, 430072, Wuhan, China.
The circadian clock genes are known important for kidney development, maturation and physiological functions. However, whether and how they play a role in renal regeneration remain elusive. Here, by using the single cell RNA-sequencing (scRNA-seq) technology, we investigated the dynamic gene expression profiles and cell states after acute kidney injury (AKI) by gentamicin treatment in zebrafish.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
The accurate identification of protein-nucleotide binding residues is crucial for protein function annotation and drug discovery. Numerous computational methods have been proposed to predict these binding residues, achieving remarkable performance. However, due to the limited availability and high variability of nucleotides, predicting binding residues for diverse nucleotides remains a significant challenge.
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