The extracellular signal-regulated kinase (ERK) pathway is activated by hypertrophic stimuli in cardiomyocytes. However, whether ERK plays an essential role or is implicated in all major components of cardiac hypertrophy remains controversial. Using a selective MEK inhibitor, U0126, and a selective Raf inhibitor, SB-386023, to block the ERK signaling pathway at two different levels and adenovirus-mediated transfection of dominant-negative Raf, we studied the role of ERK signaling in response of cultured rat cardiomyocytes to hypertrophic agonists, endothelin-1 (ET-1), and phenylephrine (PE). U0126 and SB-386023 blocked ET-1 and PE-induced ERK but not p38 and JNK activation in cardiomyocytes. Both compounds inhibited ET-1 and PE-induced protein synthesis and increased cell size, sarcomeric reorganization, and expression of beta-myosin heavy chain in myocytes with IC(50) values of 1-2 microm. Furthermore, both inhibitors significantly reduced ET-1- and PE-induced expression of atrial natriuretic factor. In cardiomyocytes transfected with a dominant-negative Raf, ET-1- and PE-induced increase in cell size, sarcomeric reorganization, and atrial natriuretic factor production were remarkably attenuated compared with the cells infected with an adenovirus-expressing green fluorescence protein. Taken together, our data strongly support the notion that the ERK signal pathway plays an essential role in ET-1- and PE-induced cardiomyocyte hypertrophy.
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http://dx.doi.org/10.1074/jbc.M007037200 | DOI Listing |
mBio
January 2025
Department of Microbiology and Immunology, Indiana University School of Medicine, Indianapolis, Indiana, USA.
In , the causative agent of Lyme disease, differential gene expression is primarily governed by the alternative sigma factor RpoS (σ). Understanding the regulation of RpoS is crucial for elucidating how is maintained throughout its enzootic cycle. Our recent studies have shown that the homolog of Fur/PerR repressor/activator BosR functions as an RNA-binding protein that controls the mRNA stability.
View Article and Find Full Text PDFJ Chem Phys
January 2025
School of Chemistry, University of Southampton, Highfield, Southampton SO17 1BJ, United Kingdom.
Membrane properties are determined in part by lipid composition, and cholesterol plays a large role in determining these properties. Cellular membranes show a diverse range of cholesterol compositions, the effects of which include alterations to cellular biomechanics, lipid raft formation, membrane fusion, signaling pathways, metabolism, pharmaceutical therapeutic efficacy, and disease onset. In addition, cholesterol plays an important role in non-cellular membranes, with its concentration in the skin lipid matrix being implicated in several skin diseases.
View Article and Find Full Text PDFBiomater Transl
November 2024
Cardiac Regeneration and Ageing Lab, School of Medicine, Shanghai University, Shanghai, China.
Cardiovascular diseases cause significant morbidity and mortality worldwide. Engineered cardiac organoids are being developed and used to replicate cardiac tissues supporting cardiac morphogenesis and development. These organoids have applications in drug screening, cardiac disease models and regenerative medicine.
View Article and Find Full Text PDFIn Vitro Model
December 2024
Institute of Applied Biotechnology, University of Applied Science Biberach, Hubertus-Liebrecht Strasse 35, 88400 Biberach, Germany.
Purpose: For optimization of respiratory drug delivery, the selection of suitable in vitro cell models plays an important role in predicting the efficacy and safety of (bio)pharmaceutics and pharmaceutical formulations. Therefore, an in-depth comparison of different primary and permanent in vitro cellular airway models was performed with a focus on selecting a suitable model for inhalative antibodies.
Methods: Primary cells isolated from the porcine trachea were compared with the established human cell lines CaLu3 and RPMI 2650.
Innovation (Camb)
January 2025
AIM Center, College of Life Sciences and Technology, Beijing University of Chemical Technology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China.
Predicting free energy changes (ΔΔG) is essential for enhancing our understanding of protein evolution and plays a pivotal role in protein engineering and pharmaceutical development. While traditional methods offer valuable insights, they are often constrained by computational speed and reliance on biased training datasets. These constraints become particularly evident when aiming for accurate ΔΔG predictions across a diverse array of protein sequences.
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