Detail publikace

In silico search for secondary structures in p53 target genes using R/Bioconductor

Originální název

In silico search for secondary structures in p53 target genes using R/Bioconductor

Anglický název

In silico search for secondary structures in p53 target genes using R/Bioconductor

Jazyk

en

Originální abstrakt

p53 is a well-known transcription factor and tumor suppressor, regulating among other processes, the commitment of cells to apoptosis and DNA repair. p53 mutants are often found in cancers of different kinds, either as mutant or misregulated p53. p53 is involved in many other processes and we currently do not understand the full range of its functions. It is known to recognize the p53con sequence by its specific DNA-binding domain (DBD). It is also known to bind DNA non-specifically. This binding has been shown to involve superhelical DNA, more specifically, cruciform, triplex and quadruplex structures. In our laboratories we were intrigued by the possible interplay between non-canonical DNA structure binding and regular p53con binding. In an attempt to clarify this interplay and discover suitable candidate genes for further study, we carried out an in silico study on the human genome. We identified all the occurences of potential cruciform DNA, triplex DNA, quadruplex DNA and p53con recognition sequences in +/-40000 bp regions of known genes. We analyzed this data for statistically significant patterns and combinations of patterns using a  small set of available R/Bioconductor packages. This paper describes the computational pipeline designed for this type of studies. We also show preliminary results for selected human sequences.

Anglický abstrakt

p53 is a well-known transcription factor and tumor suppressor, regulating among other processes, the commitment of cells to apoptosis and DNA repair. p53 mutants are often found in cancers of different kinds, either as mutant or misregulated p53. p53 is involved in many other processes and we currently do not understand the full range of its functions. It is known to recognize the p53con sequence by its specific DNA-binding domain (DBD). It is also known to bind DNA non-specifically. This binding has been shown to involve superhelical DNA, more specifically, cruciform, triplex and quadruplex structures. In our laboratories we were intrigued by the possible interplay between non-canonical DNA structure binding and regular p53con binding. In an attempt to clarify this interplay and discover suitable candidate genes for further study, we carried out an in silico study on the human genome. We identified all the occurences of potential cruciform DNA, triplex DNA, quadruplex DNA and p53con recognition sequences in +/-40000 bp regions of known genes. We analyzed this data for statistically significant patterns and combinations of patterns using a  small set of available R/Bioconductor packages. This paper describes the computational pipeline designed for this type of studies. We also show preliminary results for selected human sequences.

BibTex


@inproceedings{BUT103572,
  author="Marie {Brázdová} and Tomáš {Martínek} and Matej {Lexa}",
  title="In silico search for secondary structures in p53 target genes using R/Bioconductor",
  annote="p53 is a well-known transcription factor and tumor suppressor, regulating among
other processes, the commitment of cells to apoptosis and DNA repair. p53 mutants
are often found in cancers of different kinds, either as mutant or misregulated
p53. p53 is involved in many other processes and we currently do not understand
the full range of its functions. It is known to recognize the p53con sequence by
its specific DNA-binding domain (DBD). It is also known to bind DNA
non-specifically. This binding has been shown to involve superhelical DNA, more
specifically, cruciform, triplex and quadruplex structures. In our laboratories
we were intrigued by the possible interplay between non-canonical DNA structure
binding and regular p53con binding. In an attempt to clarify this interplay and
discover suitable candidate genes for further study, we carried out an in silico
study on the human genome. We identified all the occurences of potential
cruciform DNA, triplex DNA, quadruplex DNA and p53con recognition sequences in
+/-40000 bp regions of known genes. We analyzed this data for statistically
significant patterns and combinations of patterns using a  small set of available
R/Bioconductor packages. This paper describes the computational pipeline designed
for this type of studies. We also show preliminary results for selected human
sequences.",
  address="CreativeSpace Independent Publishing Platform",
  booktitle="ITAT 2013: Information Technologies - Applications and Theory",
  chapter="103572",
  edition="NEUVEDEN",
  howpublished="print",
  institution="CreativeSpace Independent Publishing Platform",
  year="2013",
  month="september",
  pages="42--46",
  publisher="CreativeSpace Independent Publishing Platform",
  type="conference paper"
}