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Eugene Berezikov

Publications and source records attributed to Eugene Berezikov.

6 recordsLinked to original sources
PubMed2004

Homologous gene targeting in Caenorhabditis elegans by biolistic transformation.

Targeted homologous recombination is a powerful approach for genome manipulation that is widely used for gene alteration and knockouts in mouse and yeast. In Caenorhabditis elegans, several methods of target-selected mutagenesis have been implemented but none of them provides the opportunity of introducing exact predefined changes into the genome. Although anecdotal cases of homologous gene targeting in C.elegans have been reported, no practical technique of gene targeting has been developed so far. In this work we demonstrate that transformation of C.elegans by microparticle bombardment (biolistic transformation) can result in homologous recombination between introduced DNA and the chromosomal locus. We describe a scaled up version of biolistic transformation that can be used as a method for homologous gene targeting in the worm.

Animals↗
PubMed2004

The Evolution of SINEs and LINEs in the genus Chironomus (Diptera).

Genomic DNA amplification from 51 species of the family Chironomidae shows that most contain relatives of NLRCth1 LINE and CTRT1 SINE retrotransposons first found in Chironomus thummi. More than 300 cloned PCR products were sequenced. The amplified region of the reverse transcriptase gene in the LINEs is intact and highly conserved, suggesting active elements. The SINEs are less conserved, consistent with minimal/no selection after transposition. A mitochondrial gene phylogeny resolves the Chironomus genus into six lineages (Guryev et al. 2001). LINE and SINE phylogenies resolve five of these lineages, indicating their monophyletic origin and vertical inheritance. However, both the LINE and the SINE tree topologies differ from the species phylogeny, resolving the elements into "clusters I-IV" and "cluster V" families. The data suggest a descent of all LINE and SINE subfamilies from two major families. Based on the species phylogeny, a few LINEs and a larger number of SINEs are cladisitically misplaced. Most misbranch with LINEs or SINEs from species with the same families of elements. From sequence comparisons, cladistically misplaced LINEs and several misplaced SINEs arose by convergent base substitutions. More diverged SINEs result from early transposition and some are derived from multiple source SINEs in the same species. SINEs from two species (C. dorsalis, C. pallidivittatus), expected to belong to the clusters I-IV family, branch instead with cluster V family SINEs; apparently both families predate separation of cluster V from clusters I-IV species. Correlation of the distribution of active SINEs and LINEs, as well as similar 3' sequence motifs in CTRT1 and NLRCth1, suggests coevolving retrotransposon pairs in which CTRT1 transposition depends on enzymes active during NLRCth1 LINE mobility.

Animals↗
PubMed2004

Single nucleotide polymorphisms associated with rat expressed sequences.

Single nucleotide polymorphisms (SNPs) are the most common source of genetic variation in populations and are thus most likely to account for the majority of phenotypic and behavioral differences between individuals or strains. Although the rat is extensively studied for the latter, data on naturally occurring polymorphisms are mostly lacking. We have used publicly available sequences consisting of whole-genome shotgun (WGS), expressed sequence tag (EST), and mRNA data as a source for the in silico identification of SNPs in gene-coding regions and have identified a large collection of 33,305 high-quality candidate SNPs. Experimental verification of 471 candidate SNPs using a limited set of rat isolates revealed a confirmation rate of approximately 50%. Although the majority of SNPs were identified between Sprague-Dawley (EST data) and Brown Norway (WGS data) strains, we found that 66% of the verified variations are common among different rat strains. All SNPs were extensively annotated, including chromosomal and genetic map information, and nonsynonymous SNPs were analyzed by SIFT and PolyPhen prediction programs for their potential deleterious effect on protein function. Interestingly, we retrieved three SNPs from the database that result in the introduction of a premature stop codon and that could be confirmed experimentally. Two of these "in silico-identified knockouts" reside in interesting QTL regions. Data are publicly available via a Web interface (http://cascad.niob.knaw.nl), allowing simple and advanced search queries.

Animals↗
PubMed2003

CONREAL: conserved regulatory elements anchored alignment algorithm for identification of transcription factor binding sites by phylogenetic footprinting.

Prediction of transcription-factor target sites in promoters remains difficult due to the short length and degeneracy of the target sequences. Although the use of orthologous sequences and phylogenetic footprinting approaches may help in the recognition of conserved and potentially functional sequences, correct alignment of the short transcription-factor binding sites can be problematic for established algorithms, especially when aligning more divergent species. Here, we report a novel phylogenetic footprinting approach, CONREAL, that uses biologically relevant information, that is, potential transcription-factor binding sites as represented by positional weight matrices, to establish anchors between orthologous sequences and to guide promoter sequence alignment. Comparison of the performance of CONREAL with the global alignment programs LAGAN and AVID using a reference data set, shows that CONREAL performs equally well for closely related species like rodents and human, and has a clear added value for aligning promoter elements of more divergent species like human and fish, as it identifies conserved transcription-factor binding sites that are not found by other methods. CONREAL is accessible via a Web interface at http://conreal.niob.knaw.nl/.

Algorithms↗
PubMed2002

GENOTRACE: cDNA-based local GENOme assembly from TRACE archives.

UNLABELLED: GENOTRACE identifies the genomic organization for a cDNA using raw data from genome sequencing projects in progress (trace archives). Local genomic contigs are generated, allowing for example the design of PCR primers in intronic sequences to amplify coding regions of a gene, needed for example for mutation or SNP detection. AVAILABILITY: The package and examples of output files can be downloaded from http://rat.niob.knaw.nl/GENOTRACE

Archives↗