Biomedical subjects

Martin C Frith

Publications and source records attributed to Martin C Frith.

21 records · Page 2Linked to original sources

PubMed2003

Cluster-Buster: Finding dense clusters of motifs in DNA sequences.

The signals that determine activation and repression of specific genes in response to appropriate stimuli are one of the most important, but least understood, types of information encoded in genomic DNA. The nucleotide sequence patterns, or motifs, preferentially bound by various transcription factors have been collected in databases. However, these motifs appear to be individually too short and degenerate to enable detection of functional enhancer and silencer elements within a large genome. Several groups have proposed that dense clusters of motifs may diagnose regulatory regions more accurately. Cluster-Buster is the third incarnation of our software for finding clusters of pre-specified motifs in DNA sequences. We offer a Cluster-Buster web server at http://zlab.bu.edu/cluster-buster/.

Binding Sites↗

PubMed2002

A ubiquitous and conserved signal for RNA localization in chordates.

During oogenesis in Xenopus laevis, several RNAs that localize to the vegetal cortex via one of three temporally defined pathways have been identified. Although individual mRNAs utilize only one pathway, there is functional overlap and apparent continuity between them, suggesting that common cis-acting sequences may exist. Because previous work with the Vg1 mRNA revealed that short nontandem repeats are important for localization, we developed a new computer program, called REPFIND, to expedite the identification of repeated motifs in other localized RNAs. Here we show that clusters of short CAC-containing motifs characterize the localization elements (LEs) of virtually all mRNAs localized to the vegetal cortex of Xenopus oocytes. A search for this signal in GenBank [9] resulted in the identification of new localized mRNAs, demonstrating the applicability of REPFIND to predict localized RNAs. CAC-rich LEs are also found in ascidians and other vertebrates, indicating that these cis regulatory elements are conserved in chordates. Interestingly, biochemical evidence shows that distinct CAC-containing motifs have different functions in the localization process. Thus, clusters of CAC-containing motifs are a ubiquitous signal for RNA localization and can signal localization in a variety of pathways through slight variations in sequence composition.

Animals↗

PubMed2002

Statistical significance of clusters of motifs represented by position specific scoring matrices in nucleotide sequences.

The human genome encodes the transcriptional control of its genes in clusters of cis-elements that constitute enhancers, silencers and promoter signals. The sequence motifs of individual cis- elements are usually too short and degenerate for confident detection. In most cases, the requirements for organization of cis-elements within these clusters are poorly understood. Therefore, we have developed a general method to detect local concentrations of cis-element motifs, using predetermined matrix representations of the cis-elements, and calculate the statistical significance of these motif clusters. The statistical significance calculation is highly accurate not only for idealized, pseudorandom DNA, but also for real human DNA. We use our method 'cluster of motifs E-value tool' (COMET) to make novel predictions concerning the regulation of genes by transcription factors associated with muscle. COMET performs comparably with two alternative state-of-the-art techniques, which are more complex and lack E-value calculations. Our statistical method enables us to clarify the major bottleneck in the hard problem of detecting cis-regulatory regions, which is that many known enhancers do not contain very significant clusters of the motif types that we search for. Thus, discovery of additional signals that belong to these regulatory regions will be the key to future progress.

Algorithms↗