DoOPSearch: a web-based tool for finding and analysing common conserved motifs in the promoter regions of different chordate and plant genes

BACKGROUND: The comparative genomic analysis of a large number of orthologous promoter regions of the chordate and plant genes from the DoOP databases shows thousands of conserved motifs. Most of these motifs differ from any known transcription factor binding site (TFBS). To identify common conserved motifs, we need a specific tool to be able to search amongst them. Since conserved motifs from the DoOP databases are linked to genes, the result of such a search can give a list of genes that are potentially regulated by the same transcription factor(s). RESULTS: We have developed a new tool called DoOPSearch for the analysis of the conserved motifs in the promoter regions of chordate or plant genes. We used the orthologous promoters of the DoOP database to extract thousands of conserved motifs from different taxonomic groups. The advantage of this approach is that different sets of conserved motifs might be found depending on how broad the taxonomic coverage of the underlying orthologous promoter sequence collection is (consider e.g. primates vs. mammals or Brassicaceae vs. Viridiplantae). The DoOPSearch tool allows the users to search these motif collections or the promoter regions of DoOP with user supplied query sequences or any of the conserved motifs from the DoOP database. To find overrepresented gene ontologies, the gene lists obtained can be analysed further using a modified version of the GeneMerge program. CONCLUSION: We present here a comparative genomics based promoter analysis tool. Our system is based on a unique collection of conserved promoter motifs characteristic of different taxonomic groups. We offer both a command line and a web-based tool for searching in these motif collections using user specified queries. These can be either short promoter sequences or consensus sequences of known transcription factor binding sites. The GeneMerge analysis of the search results allows the user to identify statistically overrepresented Gene Ontology terms that might provide a clue on the function of the motifs and genes

IS: a web-site for intron statistics

Abstract Summary: A web server has been established for the statistical evaluation of introns in various taxonomic groups and the comparison of taxonomic groups in terms of intron type, length, base composition, etc. The options include the graphic analysis of splice sites and a probability test for exon-shuffling within the selected group. Availability: introns.abc.hu, http://www.icgeb.trieste.it/introns Contact: [email protected]@[email protected] * To whom correspondence should be addressed

Magreceptorok működésének genomszintü vizsgálata kromatin immunprecipitációval primer humán immun sejtekben = Decoding nuclear hormone receptor activity using chromatin immunoprecipitation in human primary immune cells

A kutatómunka során szisztematikusan feltérképeztük az un RXR heterodimer típusú receptorok szerepét a humán monocita eredetű dendritikus sejtek differenciálódása és immunfunkciói során. Ezek a receptorok a PPARg, LXR, VDR és RAR receptorok volta, melyeket kiegészítettünk az RXR receptorral is. A specikus utvonalak azonosítása mellett általános megállapításként elmondhattuk, hogy ez a receptorcsalad olyan molekuláris szenzorként működik, mely képes átprogramozni a sejt genkifejeződését külső és belső lipid szintek változása során. Összefüggést talaltunk az IL4 STAT6-on kerestüli szignalizációja és a PPARg receptor között és legújabban feltérképeztük a az RXR receptor genomi kötőhelyeit ls cisztromikus kölcsönhatásait is. | During our work we have systematically mapped the so called RXR heterodimeric receptors roles in monocyte derived dendritic cells during differentiation and immune function. These receptors included PPARg, LXR, VDR and RXR and also included their heterodimeric partner RXR. Based on the data obtained one can conclude that besides the specialized pathways identified, these receptors act as molecular sensors in detecting changing extra and intracellular lipid levels. We have also identified an interaction between IL4 mediated STAT6 signaling and PPARg and most recently we have detrained the RXR cistrome and its interactions

DoOP: Databases of Orthologous Promoters, collections of clusters of orthologous upstream sequences from chordates and plants

DoOP (http://doop.abc.hu/) is a database of eukaryotic promoter sequences (upstream regions) aiming to facilitate the recognition of regulatory sites conserved between species. The annotated first exons of human and Arabidopsis thaliana genes were used as queries in BLAST searches to collect the most closely related orthologous first exon sequences from Chordata and Viridiplantae species. Up to 3000 bp DNA segments upstream from these first exons constitute the clusters in the chordate and plant sections of the Database of Orthologous Promoters. Release 1.0 of DoOP contains 21 061 chordate clusters from 284 different species and 7548 plant clusters from 269 different species. The database can be used to find and retrieve promoter sequences of a given gene from various species and it is also suitable to see the most trivial conserved sequence blocks in the orthologous upstream regions. Users can search DoOP with either sequence or text (annotation) to find promoter clusters of various genes. In addition to the sequence data, the positions of the conserved sequence blocks derived from multiple alignments, the positions of repetitive elements and the positions of transcription start sites known from the Eukaryotic Promoter Database (EPD) can be viewed graphically

PLOTREP: a web tool for defragmentation and visual analysis of dispersed genomic repeats

Identification of dispersed or interspersed repeats, most of which are derived from transposons, retrotransposons or retrovirus-like elements, is an important step in genome annotation. Software tools that compare genomic sequences with precompiled repeat reference libraries using sensitive similarity-based methods provide reliable means of finding the positions of fragments homologous to known repeats. However, their output is often incomplete and fragmented owing to the mutations (nucleotide substitutions, deletions or insertions) that can result in considerable divergence from the reference sequence. Merging these fragments to identify the whole region that represents an ancient copy of a mobile element is challenging, particularly if the element is large and suffered multiple deletions or insertions. Here we report PLOTREP, a tool designed to post-process results obtained by sequence similarity search and merge fragments belonging to the same copy of a repeat. The software allows rapid visual inspection of the results using a dot-plot like graphical output. The web implementation of PLOTREP is available at