PubMed Health⌕ Search
Home/Archive/PubMed

PubMed · 1747782

A new method for finding long consensus patterns in nucleic acid sequences.

P Taylor·P Rosenberg·M G Samsonova
View original source ↗Export metadata ↓

Abstract

We describe a fast computer algorithm for identifying consensus patterns in DNA sequences. The method requires no prior assumptions about the consensus pattern other than its length. In particular no previous knowledge of the frequency or spacing of consensus patterns is required. However, a priori information about the shape of the consensus pattern, or invariability of individual positions, or the overall conservation level, can be utilized to enhance the selectivity and sensitivity of search. As the number of all possible consensus words increases very rapidly with length, comprehensive searches have usually been restricted to a maximum of 10-12 nucleotides, even when large mainframes are used. Our algorithm enables searching for consensus patterns of this order on current mid-range and powerful microcomputers. Searches may be conducted on single, long sequences or a set of possibly aligned shorter sequences. We give examples of identified consensus patterns in both prokaryotic and eukaryotic DNA sequences, along with some typical program timings.

Explore related subjects

Base SequenceDNAEscherichia coliIntronsMolecular Sequence DataPhylogenyPromoter Regions, GeneticSaccharomyces cerevisiaeSequence Homology, Nucleic AcidSoftwareComparative StudyJournal ArticleResearch Support, Non-U.S. Gov't

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

P Taylor, P Rosenberg, M G Samsonova. 1991. A new method for finding long consensus patterns in nucleic acid sequences.. https://doi.org/10.1093/bioinformatics%2F7.4.495

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2016

miR-503-3p promotes epithelial-mesenchymal transition in breast cancer by directly targeting SMAD2 and E-cadherin.

Although progress in clinical and basic research has significantly increased our understanding of breast cancer, little is known about the molecular mechanism underlying breast cancer metastasis. Identification of effective therapeutic targets to prevent breast cancer metastasis is urgently needed. The function of miR-503-3p has been investigated in other cancers, but its role in breast cancer remains undefined. Here, we found that miR-503-3p was overexpressed in breast cancer tissue and plasma compared with adjacent normal breast tissue and with plasma from healthy individuals. Moreover, we identified miR-503-3p to be an oncogene of breast cancer cell proliferation, migration and invasion. Upregulation of miR-503-3p in breast cancer cells inhibited expression of epithelial-mesenchymal transition (EMT)-related protein SMAD2 and the epithelial marker protein E-cadherin by directly binding to their mRNA 3' untranslated region, whereas increased expression of mesenchymal marker proteins, including vimentin and N-cadherin. Taken together, our findings support a critical role for miR-503-3p in induction of breast cancer EMT and suggest that plasma miR-503-3p may be a useful diagnostic biomarker for breast cancer.

Base Sequence↗
PubMed2003

Identification and characterization of Prp45p and Prp46p, essential pre-mRNA splicing factors.

Through exhaustive two-hybrid screens using a budding yeast genomic library, and starting with the splicing factor and DEAH-box RNA helicase Prp22p as bait, we identified yeast Prp45p and Prp46p. We show that as well as interacting in two-hybrid screens, Prp45p and Prp46p interact with each other in vitro. We demonstrate that Prp45p and Prp46p are spliceosome associated throughout the splicing process and both are essential for pre-mRNA splicing. Under nonsplicing conditions they also associate in coprecipitation assays with low levels of the U2, U5, and U6 snRNAs that may indicate their presence in endogenous activated spliceosomes or in a postsplicing snRNP complex.

Base Sequence↗
PubMed1992

NMR study of nitrogen-15-labeled Escherichia coli valine transfer RNA.

1,3-15N-Labeled uracil was synthesized chemically and used to prepare labeled Escherichia coli tRNA(Val) biosynthetically. 500-MHz measurements of 15N and proton chemical shift were obtained, for all uridine and uridine-related bases, by heteronuclear multiple-quantum coherence spectroscopy. All the uracil NH group resonances were assigned and were in agreement with previous proton-only assignments. The temperature dependence of intensities of resonances was used to infer the relative stability of parts of the molecule. The acceptor stem was the least thermally stable structural feature, while the anticodon and T loop were relatively more stable.

Base Sequence↗