98%
921
2 minutes
20
The phosphorylation of the collagen triple helix plays an important role in collagen synthesis, assembly, signaling, and immune response, although no reports detailing the effect this modification has on the structure and stability of the triple helix exist. Here we investigate the changes in stability and structure resulting from the phosphorylation of collagen. Additionally, the formation of pairwise interactions between phosphorylated residues and lysine is examined. In all tested cases, phosphorylation increases helix stability. When charged-pair interactions are possible, stabilization via phosphorylation can play a very large role, resulting inasmuch as a 13.0 °C increase in triple helix stability. Two-dimensional NMR and molecular modeling are used to study the local structure of the triple helix. Our results suggest a mechanism of action for phosphorylation in the regulation of collagen and also expand upon our understanding of pairwise amino acid stabilization of the collagen triple helix.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/acs.biomac.6b01814 | DOI Listing |
Virchows Arch
September 2025
Department of Anatomic Pathology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Lung adenocarcinoma (LUAD) associated with usual interstitial pneumonia (UIP) harbours distinct features compared to lung adenocarcinoma without UIP. Therefore, we aimed to characterise the tumour microenvironment of LUAD with UIP by focusing on cancer-associated fibroblasts (CAFs) and stromal composition. Immunohistochemistry was performed on 32 LUAD samples (16 each with and without UIP) to evaluate CAF marker expression and lymphocyte infiltration.
View Article and Find Full Text PDFAm J Respir Cell Mol Biol
September 2025
Univ. of Pennsylvania, Medicine, Philadelphia, Pennsylvania, United States.
Lymphangioleiomyomatosis (LAM) is a rare lung disease caused by hyperactivation of the mechanistic/mammalian target of rapamycin 1 (mTORC1) growth pathway in a subset of mesenchymal lung cells. Histopathologically, LAM lesions have been described as immature smooth muscle-like cells positive for the immature melanocytic marker HMB45/PMEL/gp100 and phosphorylated ribosomal protein S6 (pS6). Advances in single cell sequencing (scRNA-seq) technology allowed us to group LAM cells according to their expression of cancer stem cell (CSC) genes and identify three clusters: a high CSC-like state (SLS), an intermediate state, and a low CSC-like inflammatory state (IS).
View Article and Find Full Text PDFAppl Microbiol Biotechnol
September 2025
Department of Biological Engineering, College of Life Sciences, Yantai University, Yantai, 264005, China.
Recombinant human collagen (rhCol) holds broad potential in biomedical and industrial applications due to its high purity and low immunogenicity. However, large-scale production of structurally stable and functionally active rhCol remains challenging. A novel strategy integrating collagen sequence optimization and microbial prolyl-4-hydroxylase (P4H) screening was developed to enable efficient production of triple-helical rhCol in Komagataella phaffii.
View Article and Find Full Text PDFBiotechnol Bioeng
September 2025
Department of Biological Engineering, College of Life Sciences, Yantai University, Yantai, China.
Prolyl-4-hydroxylase (P4H) catalyzes the hydroxylation of proline to hydroxyproline, a critical post-translational modification essential for the formation and stability of collagen's triple-helix structure. Although indispensable for recombinant human collagen (rhCol) production, P4H suffers from low expression levels, which significantly limit its industrial application. In this study, we achieved high-level expression of P4H in Komagataella phaffii (K.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
September 2025
Transcription functions as a pivotal biological process in cell biology, which is required to complete the binding of transcription factors (TFs) to transcription factor binding sites (TFBSs) on the DNA. Accurate prediction of TFBSs can provide great potential to regulate the expression of interested genes, which can facilitate exploration of new drugs and treatment for diseases. Although many deep learning-based models have been proposed for predicting TFBSs, existing models still have problems, including the use of convolutional processing of DNA sequences that loses information about the DNA double helix structure and fails to adequately account for the stereoscopic structure of DNA shape data in three dimensions.
View Article and Find Full Text PDF