Linked Life Data

8568887

Source:http://linkedlifedata.com/resource/pubmed/id/8568887

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
1996-3-1
pubmed:abstractText
Analytic methods that accurately calculate the extent of duplex destabilization induced in each base-pair of a DNA molecule by superhelical stresses are used to analyze several genomic DNA sequences. Sites predicted to be susceptible to stress-induced duplex destabilization (SIDD) are found to be closely associated with specific transcriptional regulatory regions. Operators within the promoters of SOS-regulated Escherichia coli genes are destabilized by superhelical stresses, whereas closely related sequences present elsewhere on that genome are not. Analysis of genomic sequences from the budding yeast Saccharomyces cerevisiae finds a distinctive tripartite pattern, in which the 3' and 5' termini of genes are destabilized, but the sequence encoding the primary transcript is not. Three rDNA genes from higher eukaryotes exhibit a similar pattern. Implications of these results regarding possible mechanisms of activity of the regions involved are discussed. A strategy is presented for designing experiments in which the susceptibility to SIDD of a local region is altered without changing its local base sequence. The occurrence of the observed SIDD patterns provides a new approach to searching uncharacterized genomic sequences for transcriptionally active regions.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
0022-2836
pubmed:author
pubmed:issnType
Print
pubmed:day
26
pubmed:volume
255
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
425-34
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed:year
1996
pubmed:articleTitle
Duplex destabilization in superhelical DNA is predicted to occur at specific transcriptional regulatory regions.
pubmed:affiliation
Department of Biomathematical Sciences, Mount Sinai School of Medicine, New York, NY 10029, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, U.S. Gov't, Non-P.H.S.