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1.
BMC Syst Biol ; 7: 118, 2013 Nov 01.
Artículo en Inglés | MEDLINE | ID: mdl-24182195

RESUMEN

BACKGROUND: Reverse-engineering gene regulatory networks from expression data is difficult, especially without temporal measurements or interventional experiments. In particular, the causal direction of an edge is generally not statistically identifiable, i.e., cannot be inferred as a statistical parameter, even from an unlimited amount of non-time series observational mRNA expression data. Some additional evidence is required and high-throughput methylation data can viewed as a natural multifactorial gene perturbation experiment. RESULTS: We introduce IDEM (Identifying Direction from Expression and Methylation), a method for identifying the causal direction of edges by combining DNA methylation and mRNA transcription data. We describe the circumstances under which edge directions become identifiable and experiments with both real and synthetic data demonstrate that the accuracy of IDEM for inferring both edge placement and edge direction in gene regulatory networks is significantly improved relative to other methods. CONCLUSION: Reverse-engineering directed gene regulatory networks from static observational data becomes feasible by exploiting the context provided by high-throughput DNA methylation data.An implementation of the algorithm described is available at http://code.google.com/p/idem/.


Asunto(s)
Biología Computacional/métodos , Metilación de ADN , Perfilación de la Expresión Génica , Redes Reguladoras de Genes , Teorema de Bayes , Técnicas de Silenciamiento del Gen , Funciones de Verosimilitud , Cadenas de Markov , ARN Mensajero/genética , ARN Mensajero/metabolismo , Reproducibilidad de los Resultados
2.
Nucleic Acids Res ; 39(16): 7020-33, 2011 Sep 01.
Artículo en Inglés | MEDLINE | ID: mdl-21622658

RESUMEN

DNA polymerase I (pol I) processes RNA primers during lagging-strand synthesis and fills small gaps during DNA repair reactions. However, it is unclear how pol I and pol III work together during replication and repair or how extensive pol I processing of Okazaki fragments is in vivo. Here, we address these questions by analyzing pol I mutations generated through error-prone replication of ColE1 plasmids. The data were obtained by direct sequencing, allowing an accurate determination of the mutation spectrum and distribution. Pol I's mutational footprint suggests: (i) during leading-strand replication pol I is gradually replaced by pol III over at least 1.3 kb; (ii) pol I processing of Okazaki fragments is limited to ∼20 nt and (iii) the size of Okazaki fragments is short (∼250 nt). While based on ColE1 plasmid replication, our findings are likely relevant to other pol I replicative processes such as chromosomal replication and DNA repair, which differ from ColE1 replication mostly at the recruitment steps. This mutation footprinting approach should help establish the role of other prokaryotic or eukaryotic polymerases in vivo, and provides a tool to investigate how sequence topology, DNA damage, or interactions with protein partners may affect the function of individual DNA polymerases.


Asunto(s)
ADN Polimerasa I/metabolismo , Replicación del ADN , Mutación , Plásmidos/biosíntesis , Secuencia de Bases , ADN/metabolismo , Huella de ADN , ADN Polimerasa I/genética , ADN Polimerasa I/fisiología , Bases de Datos de Ácidos Nucleicos , Plásmidos/química
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