Genomic analysis reveals novel connections between alternative splicing and circadian regulatory networks
Circadian clocks, the molecular devices present in almost all eukaryotic and some prokaryotic organisms, phase biological activities to the most appropriate time of day. These devices are synchronized by the daily cycles of light and temperature, and control hundreds of processes, ranging from gene...
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| Otros Autores: | , |
| Formato: | Artículo |
| Lenguaje: | Inglés |
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| Acceso en línea: | http://ri.agro.uba.ar/files/intranet/articulo/2013perezsantangelo.pdf LINK AL EDITOR |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
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| 100 | 1 | |a Perez Santángelo, Soledad |9 72663 | |
| 245 | 0 | 0 | |a Genomic analysis reveals novel connections between alternative splicing and circadian regulatory networks |
| 520 | |a Circadian clocks, the molecular devices present in almost all eukaryotic and some prokaryotic organisms, phase biological activities to the most appropriate time of day. These devices are synchronized by the daily cycles of light and temperature, and control hundreds of processes, ranging from gene expression to behavior as well as reproductive development. For a long time, these clocks were considered to operate primarily through regulatory feedback loops that act at the transcriptional level. Recent studies, however, conclusively show that circadian rhythms can persist in the absence of transcription, and it is evident that robust and precise circadian oscillations require multiple regulatory mechanisms operating at the co-/post-transcriptional, translational, post-translational and metabolic levels. Furthermore, these different regulatory loops exhibit strong interactions, which contribute to the synchronization of biological rhythms with environmental changes throughout the day and year. Here, we describe recent advances that highlight the role of alternative splicing [AS] in the operation of circadian networks, focusing on molecular and genomic studies conducted in Arabidopsis thaliana. These studies have also enhanced our understanding of the mechanisms that control AS and of the physiological impact of AS. | ||
| 653 | 0 | |a ALTERNATIVE SPLICING | |
| 653 | 0 | |a ARABIDOPSIS THALIANA | |
| 653 | 0 | |a CIRCADIAN RHYTHMS | |
| 653 | 0 | |a GENE EXPRESSION NETWORKS | |
| 653 | 0 | |a GLYCINE RICH PROTEIN 7 | |
| 653 | 0 | |a MESSENGER RNA | |
| 653 | 0 | |a PEROXISOME PROLIFERATOR ACTIVATED RECEPTOR | |
| 653 | 0 | |a RNA BINDING PROTEIN | |
| 653 | 0 | |a TRANSCRIPTION FACTOR CLOCK | |
| 653 | 0 | |a TRANSCRIPTOME | |
| 653 | 0 | |a UNCLASSIFIED DRUG | |
| 653 | 0 | |a ABIOTIC STRESS | |
| 653 | 0 | |a ALTERNATIVE RNA SPLICING | |
| 653 | 0 | |a ARABIDOPSIS | |
| 653 | 0 | |a BEHAVIOR | |
| 653 | 0 | |a CIRCADIAN RHYTHM | |
| 653 | 0 | |a DROSOPHILA | |
| 653 | 0 | |a ENVIRONMENTAL CHANGE | |
| 653 | 0 | |a EXON | |
| 653 | 0 | |a GENE EXPRESSION | |
| 653 | 0 | |a GENE MUTATION | |
| 653 | 0 | |a GENETIC SELECTION | |
| 653 | 0 | |a GENETIC TRANSCRIPTION | |
| 653 | 0 | |a GENOMICS | |
| 653 | 0 | |a HIGH THROUGHPUT SEQUENCING | |
| 653 | 0 | |a INTRON RETENTION | |
| 653 | 0 | |a LIGHT | |
| 653 | 0 | |a NONHUMAN | |
| 653 | 0 | |a REAL TIME POLYMERASE CHAIN REACTION | |
| 653 | 0 | |a REGULATORY MECHANISM | |
| 653 | 0 | |a RNA SEQUENCE | |
| 653 | 0 | |a SIGNAL TRANSDUCTION | |
| 653 | 0 | |a TEMPERATURE | |
| 653 | 0 | |a ALTERNATIVE SPLICING | |
| 653 | 0 | |a ANIMALS | |
| 653 | 0 | |a CIRCADIAN CLOCKS | |
| 653 | 0 | |a GENE REGULATORY NETWORKS | |
| 653 | 0 | |a HUMANS | |
| 653 | 0 | |a PLANTS | |
| 653 | 0 | |a SIGNAL TRANSDUCTION | |
| 653 | 0 | |a EUKARYOTA | |
| 653 | 0 | |a PROKARYOTA | |
| 700 | 1 | |a Schlaen, Rubén Gustavo |9 72664 | |
| 700 | 1 | |9 11465 |a Yanovsky, Marcelo J. | |
| 773 | |t Briefings in Functional Genomics |g vol.12, no.1 (2013), p.13-24 | ||
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| 900 | |a ^tGenomic analysis reveals novel connections between alternative splicing and circadian regulatory networks | ||
| 900 | |a ^aPerez-santángelo^bS. | ||
| 900 | |a ^aSchlaen^bR.G. | ||
| 900 | |a ^aYanovsky^bM.J. | ||
| 900 | |a ^aPerez Santángelo^bS. | ||
| 900 | |a ^aSchlaen^bR. G. | ||
| 900 | |a ^aYanovsky^bM. J. | ||
| 900 | |a ^aPerez-santángelo^bS.^tLeloir Institute | ||
| 900 | |a ^aPerez-santángelo, S.^tStudent. University of Buenos Aires (UBA), Argentina | ||
| 900 | |a ^aSchlaen, R.G.^tStudent. University of Buenos Aires (UBA). | ||
| 900 | |a ^aYanovsky, M.J^tSchool of Agronomy, UBA, Argentina | ||
| 900 | |a ^aYanovsky, M.J.^tFundacion Instituto Leloir, Instituto de Investigaciones Bioquimicas de Buenos Aires-CONICET, Av. Patricias Argentinas 435, C1405BWE, Buenos Aires, Argentina | ||
| 900 | |a ^aYanovsky, M.J.^tComparative Developmental Genomics Laboratory at the Leloir Institute | ||
| 900 | |a ^tBriefings in Functional Genomics^cBrief. Funct. Genomics | ||
| 900 | |a en | ||
| 900 | |a 13 | ||
| 900 | |a ^i | ||
| 900 | |a Vol. 12, no. 1 | ||
| 900 | |a 24 | ||
| 900 | |a ALTERNATIVE SPLICING | ||
| 900 | |a ARABIDOPSIS THALIANA | ||
| 900 | |a CIRCADIAN RHYTHMS | ||
| 900 | |a GENE EXPRESSION NETWORKS | ||
| 900 | |a GLYCINE RICH PROTEIN 7 | ||
| 900 | |a MESSENGER RNA | ||
| 900 | |a PEROXISOME PROLIFERATOR ACTIVATED RECEPTOR | ||
| 900 | |a RNA BINDING PROTEIN | ||
| 900 | |a TRANSCRIPTION FACTOR CLOCK | ||
| 900 | |a TRANSCRIPTOME | ||
| 900 | |a UNCLASSIFIED DRUG | ||
| 900 | |a ABIOTIC STRESS | ||
| 900 | |a ALTERNATIVE RNA SPLICING | ||
| 900 | |a ARABIDOPSIS | ||
| 900 | |a BEHAVIOR | ||
| 900 | |a CIRCADIAN RHYTHM | ||
| 900 | |a DROSOPHILA | ||
| 900 | |a ENVIRONMENTAL CHANGE | ||
| 900 | |a EXON | ||
| 900 | |a GENE EXPRESSION | ||
| 900 | |a GENE MUTATION | ||
| 900 | |a GENETIC SELECTION | ||
| 900 | |a GENETIC TRANSCRIPTION | ||
| 900 | |a GENOMICS | ||
| 900 | |a HIGH THROUGHPUT SEQUENCING | ||
| 900 | |a INTRON RETENTION | ||
| 900 | |a LIGHT | ||
| 900 | |a NONHUMAN | ||
| 900 | |a REAL TIME POLYMERASE CHAIN REACTION | ||
| 900 | |a REGULATORY MECHANISM | ||
| 900 | |a RNA SEQUENCE | ||
| 900 | |a SIGNAL TRANSDUCTION | ||
| 900 | |a TEMPERATURE | ||
| 900 | |a ALTERNATIVE SPLICING | ||
| 900 | |a ANIMALS | ||
| 900 | |a CIRCADIAN CLOCKS | ||
| 900 | |a GENE REGULATORY NETWORKS | ||
| 900 | |a HUMANS | ||
| 900 | |a PLANTS | ||
| 900 | |a SIGNAL TRANSDUCTION | ||
| 900 | |a EUKARYOTA | ||
| 900 | |a PROKARYOTA | ||
| 900 | |a Circadian clocks, the molecular devices present in almost all eukaryotic and some prokaryotic organisms, phase biological activities to the most appropriate time of day. These devices are synchronized by the daily cycles of light and temperature, and control hundreds of processes, ranging from gene expression to behavior as well as reproductive development. For a long time, these clocks were considered to operate primarily through regulatory feedback loops that act at the transcriptional level. Recent studies, however, conclusively show that circadian rhythms can persist in the absence of transcription, and it is evident that robust and precise circadian oscillations require multiple regulatory mechanisms operating at the co-/post-transcriptional, translational, post-translational and metabolic levels. Furthermore, these different regulatory loops exhibit strong interactions, which contribute to the synchronization of biological rhythms with environmental changes throughout the day and year. Here, we describe recent advances that highlight the role of alternative splicing [AS] in the operation of circadian networks, focusing on molecular and genomic studies conducted in Arabidopsis thaliana. These studies have also enhanced our understanding of the mechanisms that control AS and of the physiological impact of AS. | ||
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| 900 | |a 2013perezsantangelo.pdf | ||
| 900 | |a http://www.oxfordjournals.org/en/ | ||
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