The properties of the cystic fibrosis gene product (CFTR) were studied by expression of cloned cDNA in different cell systems. Infection of both simian fibroblast (Vero) cells and immortalized CF nasal polyp cells (NCF3A) with a vaccinia virus encoding CFTR induced forskolin-induced Cl- permeability and low-conductance (8 pS) Cl- channels. By stable transfection of the rat intestinal crypt-derived cell line IEC-6 we have isolated a clone, IEC-CF7, which expresses CFTR mRNA and antigen. IEC-CF7 cells, but not IEC-6, display forskolin-induced Cl- permeability and multiple linear low-conductance (+/- 8 pS) Cl- channels in cell-attached membrane patches. In excised patches of IEC-CF7 cells, low-conductance Cl- channels could be activated by addition of the catalytic subunit of the adenosine 3',5'-cyclic monophosphate-dependent protein kinase A (PKA) plus ATP. During bath fluid replacement studies, the activated low-conductance channel remained active in the absence of ATP at room temperature and showed saturation kinetics. Rectifying (32 pS) Cl- channels were not observed in either IEC-6 cells or IEC-CF7 cells, indicating that there is no relation between CFTR expression and the incidence of this channel. Our data strongly support the conclusion that CFTR can act as a low-conductance Cl- channel, gated by PKA. The IEC-6-derived cell line IEC-CF7 may prove to be a useful model in the study of CFTR function because of the absence of 32-pS Cl- channel activity and its potential for differentiation.
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http://dx.doi.org/10.1152/ajplung.1993.264.3.L229 | DOI Listing |
J Food Sci
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College of Electronics and Engineering, Heilongjiang University, Harbin, China.
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Toho University, Faculty of Science, 2-2-1 Miyama, Funabashi, Chiba274-8510, Japan.
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Department of Biomedical Engineering, Faculty of Engineering, Lund University, Lund, Sweden.
Human-machine interfaces using electromyography (EMG) offer promising applications in control of prosthetic limbs, rehabilitation assessment, and assistive technologies. These applications rely on advanced algorithms that decode the activation patterns of muscles contractions. This paper presents a new approach to assess and decode muscle activity by localizing the origin of individual temporal peaks in high-density surface EMG recordings from the dorsal forearm during low force finger extensions.
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UR-UPJV 4667, UFR Sciences, Université de Picardie Jules Verne, Amiens, France,
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View Article and Find Full Text PDFSleep
January 2025
Courant Institute of Mathematical Sciences, New York University, New York, 10012, USA.
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