RESUMEN
AIM: Striatin (Strn) is a scaffold protein expressed in cardiomyocytes (CMs) and alteration of its expression are described in various cardiac diseases. However, the alteration underlying its pathogenicity have been poorly investigated. METHODS: We studied the role(s) of cardiac Strn gene (STRN) by comparing the functional properties of CMs, generated from Strn-KO and isogenic WT mouse embryonic stem cell lines. RESULTS: The spontaneous beating rate of Strn-KO CMs was faster than WT cells, and this correlated with a larger fast INa conductance and no changes in If. Paced (2-8 Hz) Strn-KO CMs showed prolonged action potential (AP) duration in comparison with WT CMs and this was not associated with changes in ICaL and IKr. Motion video tracking analysis highlighted an altered contraction in Strn-KO CMs; this was associated with a global increase in intracellular Ca2+, caused by an enhanced late Na+ current density (INaL) and a reduced Na+/Ca2+ exchanger (NCX) activity and expression. Immunofluorescence analysis confirmed the higher Na+ channel expression and a more dynamic microtubule network in Strn-KO CMs than in WT. Indeed, incubation of Strn-KO CMs with the microtubule stabilizer taxol, induced a rescue (downregulation) of INa conductance toward WT levels. CONCLUSION: Loss of STRN alters CMs electrical and contractile profiles and affects cell functionality by a disarrangement of Strn-related multi-protein complexes. This leads to impaired microtubules dynamics and Na+ channels trafficking to the plasma membrane, causing a global Na+ and Ca2+ enhancement.
Asunto(s)
Calcio , Miocitos Cardíacos , Animales , Miocitos Cardíacos/metabolismo , Ratones , Calcio/metabolismo , Potenciales de Acción/efectos de los fármacos , Ratones Noqueados , Proteínas Musculares/metabolismo , Proteínas Musculares/genética , Intercambiador de Sodio-Calcio/metabolismo , Intercambiador de Sodio-Calcio/genética , Células Madre Embrionarias de Ratones/metabolismo , Sodio/metabolismoRESUMEN
Completion of the human genome is one of the many significant milestones in the new era of systems biology. The current phase of genomic studies is focused upon parsing this new found genetic data with respect to scientific interest, and economic and health impact applications. As the sequences are now available and whole genome single nucleotide polymorphism maps for multiple human diseases will be available with the advent of modern genomics, the big challenge is to determine the function of these genes in the context of the entire organism. The emphasis is therefore on functional genomic analysis that represents the new front-line and limiting factor for realizing potential benefits of genome-based science. Defined gene targeting has been proven to be particularly useful as loss of expression mutants can reveal essential functions of molecules and the pathogenesis of disease. Using gene-targeted mice, my group has over the years identified genes that control heart and lung functions; apoptosis; lymphocyte activation; cancer; pain; diabetes; fertility or wound healing . In this study, I would like to review our work on RANKL in more detail.
Asunto(s)
Neoplasias Óseas/genética , Resorción Ósea/genética , Ligando RANK/genética , Animales , Neoplasias Óseas/metabolismo , Neoplasias Óseas/secundario , Resorción Ósea/metabolismo , Marcadores Genéticos/genética , Genómica/tendencias , Proyecto Genoma Humano , Humanos , Ratones , Ligando RANK/metabolismo , Ligando RANK/uso terapéuticoRESUMEN
During the development and organogenesis of all multicellular organisms, cell fate decisions determine whether cells undergo proliferation, differentiation, or aging. Two independent stress kinase signaling pathways, p38-MAPK, and JNKs, have evolved that relay developmental and environmental cues to determine cell responses. Although multiple stimuli can activate these two stress kinase pathways, the functional interactions and molecular cross-talks between these common second signaling cascades are poorly elucidated. Here we report that JNK and p38-MAPK pathways antagonistically control cellular senescence, oncogenic transformation, and proliferation in primary mouse embryonic fibroblasts (MEFs). Similarly, genetic inactivation of the JNK pathway results in impaired proliferation of fetal hepatoblasts in vitro and defective adult liver regeneration in vivo, which is rescued by inhibition of the p38-MAPK pathway. Thus, the balance between the two stress-signaling pathways, MKK7-JNK and MKK3/6-p38-MAPK, determines cell fate and links environmental and developmental stress to cell cycle arrest, senescence, oncogenic transformation, and adult tissue regeneration.
Asunto(s)
Proliferación Celular , Transformación Celular Neoplásica , Senescencia Celular , Proteínas Quinasas JNK Activadas por Mitógenos/metabolismo , Regeneración Hepática , Sistema de Señalización de MAP Quinasas , Proteínas Quinasas p38 Activadas por Mitógenos/metabolismo , Animales , Proteína Quinasa CDC2/metabolismo , Células Cultivadas , Fibroblastos/metabolismo , Hepatocitos/metabolismo , Ratones , Ratones MutantesRESUMEN
Pheromone signaling plays an essential role in the mating and sexual development of mushroom fungi. Multiallelic genes encoding the peptide pheromones and their cognate 7-transmembrane helix (7-TM) receptors are sequestered in the B mating type locus. Here we describe the isolation of the B6 mating type locus of Coprinus cinereus. DNA sequencing and transformation analysis identified nine genes encoding three 7-TM receptors and six peptide pheromone precursors embedded within 17 kb of mating type-specific sequence. The arrangement of the nine genes suggests that there may be three functionally independent subfamilies of genes each comprising two pheromone genes and one receptor gene. None of the nine B6 genes showed detectable homology to corresponding B gene sequences in the genomic DNA from a B3 strain, and each of the B6 genes independently alter B mating specificity when introduced into a B3 host strain. However, only genes in two of the B6 groups were able to activate B-regulated development in a B42 host. Southern blot analysis showed that these genes failed to cross-hybridize to corresponding genes in the B42 host, whereas the three genes of the third subfamily, which could not activate development in the B42 host, did cross-hybridize. We conclude that cross-hybridization identifies the same alleles of a particular subfamily of genes in different B loci and that B6 and B42 share alleles of one subfamily. There are an estimated 79 B mating specificities: we suggest that it is the different allele combinations of gene subfamilies that generate these large numbers.