An RNA-centered view of eukaryotic cells
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An RNA-centered view of eukaryotic cells
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| Id. |
20880376 |
| Titulo |
An RNA-centered view of eukaryotic cells |
| Autor(es) |
Tannenbaum, Emmanuel
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| Localización |
http://arxiv.org/abs/q-bio/0412027
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| Versión |
1.0 |
| Estado |
Final
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| Descripción |
Emerging evidence suggests that the introns and intergenic sequences of the
genomes of higher eukaryotes (the ``junk'' DNA) codes for a vast, RNA-based,
genetic regulatory network. It is believed that this network is responsible for
the variety and complexity of terrestrial life. We conjecture that this
regulatory network is more properly viewed as an RNA ``community'', composed of
a rich and largely unexplored biochemical web of RNA interactions. Viewed as an
RNA-community, we hypothesize that the RNA regulatory network of higher
eukaryotes can re-wire itself, and employ various and evolvable mutational
strategies in response to external pressures. Thus, we argue that much
evolutionary change is due to intracellular, RNA-mediated learning processes.
Successful strategies and pathways are then recorded (hard-wired) into the DNA
genome via reverse transcriptase. We present evidence which is consistent with
this viewpoint, and make specific predictions which could be used to test the
utility of our framework. If essentially correct, the RNA-community view of
eukaryotic cells could reconcile measured point mutation and gene duplication
rates with actual rates of evolutionary change. Futhermore, the RNA-community
view of eukaryotic cells suggests that agent-based modeling techniques, used in
mathematical economics, game theory, and neuroscience, will likely be as useful
in understanding the functioning of eukaryotic cells as the pathway-based
approaches of systems biology. We conclude this paper by arguing that a
sufficient amount of biological knowledge has been accumulated to initiate a
systematic program of experimental and computational studies of the origins and
macroevolution of terrestrial life.
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| Palabras clave |
Quantitative Biology - Molecular Networks
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| Tipo de recurso |
Texto Narrativo
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| Tipo de Interactividad |
Expositivo
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| Nivel de Interactividad |
muy bajo
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| Audiencia |
Estudiante
Profesor
Autor
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| Estructura |
Atomic |
| Coste |
no
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| Copyright |
sí
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| Requerimientos técnicos |
Browser: Any
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| Fecha de contribución |
28-mar-2007 |
| Contacto |
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