Biomedical subjects

Wojciech Makałowski

Publications and source records attributed to Wojciech Makałowski.

7 recordsLinked to original sources

PubMed2006

Do transposable elements really contribute to proteomes?

Recent studies indicate that the initial classification of transposable elements (TEs) as 'useless', 'selfish' or 'junk' pieces of DNA is not an accurate one. TEs seem to have complex regulatory functions and contribute to the coding regions of many genes. Because this contribution had been documented only at transcript level, we searched for evidence that would also support the translation of TE cassettes. Our findings suggest that the proportion of proteins with TE-encoded fragments (approximately 0.1%), although probably underestimated, is much less than what the data at transcript level suggest (approximately 4%). In all cases, the TE cassettes are derived from old TEs, consistent with the idea that incorporation (exaptation) of TE fragments into functional proteins requires long evolutionary periods. We therefore argue that functional proteins are unlikely to contain TE cassettes derived from young TEs, the role of which is probably limited to regulatory functions.

Animals↗

PubMed2006

Transposable elements as a significant source of transcription regulating signals.

Transposable elements (TEs) are major components of eukaryotic genomes, contributing about 50% to the size of mammalian genomes. TEs serve as recombination hot spots and may acquire specific cellular functions, such as controlling protein translation and gene transcription. The latter is the subject of the analysis presented. We scanned TE sequences located in promoter regions of all annotated genes in the human genome for their content in potential transcription regulating signals. All investigated signals are likely to be over-represented in at least one TE class, which shows that TEs have an important potential to contribute to pre-transcriptional gene regulation, especially by moving transcriptional signals within the genome and thus potentially leading to new gene expression patterns. We also found that some TE classes are more likely than others to carry transcription regulating signals, which can explain why they have different retention rates in regions neighboring genes.

Base Sequence↗

PubMed2005

Eighty percent of proteins are different between humans and chimpanzees.

The chimpanzee is our closest living relative. The morphological differences between the two species are so large that there is no problem in distinguishing between them. However, the nucleotide difference between the two species is surprisingly small. The early genome comparison by DNA hybridization techniques suggested a nucleotide difference of 1-2%. Recently, direct nucleotide sequencing confirmed this estimate. These findings generated the common belief that the human is extremely close to the chimpanzee at the genetic level. However, if one looks at proteins, which are mainly responsible for phenotypic differences, the picture is quite different, and about 80% of proteins are different between the two species. Still, the number of proteins responsible for the phenotypic differences may be smaller since not all genes are directly responsible for phenotypic characters.

Animals↗

PubMed2004

Visualizing sequence similarity of protein families.

Classification of proteins into families is one of the main goals of functional analysis. Proteins are usually assigned to a family on the basis of the presence of family-specific patterns, domains, or structural elements. Whereas proteins belonging to the same family are generally similar to each other, the extent of similarity varies widely across families. Some families are characterized by short, well-defined motifs, whereas others contain longer, less-specific motifs. We present a simple method for visualizing such differences. We applied our method to the Arabidopsis thaliana families listed at The Arabidopsis Information Resource (TAIR) Web site and for 76% of the nontrivial families (families with more than one member), our method identifies simple similarity measures that are necessary and sufficient to cluster members of the family together. Our visualization method can be used as part of an annotation pipeline to identify potentially incorrectly defined families. We also describe how our method can be extended to identify novel families and to assign unclassified proteins into known families.

Arabidopsis Proteins↗

PubMed2004

Mammalian overlapping genes: the comparative perspective.

It is believed that 3.2 billion bp of the human genome harbor approximately 35000 protein-coding genes. On average, one could expect one gene per 300000 nucleotides (nt). Although the distribution of the genes in the human genome is not random,it is rather surprising that a large number of genes overlap in the mammalian genomes. Thousands of overlapping genes were recently identified in the human and mouse genomes. However,the origin and evolution of overlapping genes are still unknown. We identified 1316 pairs of overlapping genes in humans and mice and studied their evolutionary patterns. It appears that these genes do not demonstrate greater than usual conservation. Studies of the gene structure and overlap pattern showed that only a small fraction of analyzed genes preserved exactly the same pattern in both organisms.

Animals↗

PubMed2003

Mastering seeds for genomic size nucleotide BLAST searches.

One of the most common activities in bioinformatics is the search for similar sequences. These searches are usually carried out with the help of programs from the NCBI BLAST family. As the majority of searches are routinely performed with default parameters, a question that should be addressed is how reliable the results obtained using the default parameter values are, i.e. what fraction of potential matches have been retrieved by these searches. Our primary focus is on the initial hit parameter, also known as the seed or word, used by the NCBI BLASTn, MegaBLAST and other similar programs in searches for similar nucleotide sequences. We show that the use of default values for the initial hit parameter can have a big negative impact on the proportion of potentially similar sequences that are retrieved. We also show how the hit probability of different seeds varies with the minimum length and similarity of sequences desired to be retrieved and describe methods that help in determining appropriate seeds. The experimental results described in this paper illustrate situations in which these methods are most applicable and also show the relationship between the various BLAST parameters.

Algorithms↗

PubMed2003

Transposable elements and vertebrate protein diversity.

Interspersed repetitive sequences are major components of eukaryotic genomes. Repetitive elements comprise about 50% of the mammalian genome. They interact with the whole genome and influence its evolution. Repetitive elements may serve as recombination hot spots or acquire specific cellular functions such as RNA transcription control or become part of protein coding regions. The latter is a subject of presented analysis. We searched all currently available vertebrate protein sequences, including human proteome complement for the presence of transposable elements. It appears that insertion of TE-cassettes into open reading frames is a general phenomena. They can be found in all vertebrate lineages and originate in all types of transposable elements. It seems that genomes use those cassettes as 'ready to use' motifs in their evolutionary experiments. Most of TE-cassettes are used to create alternative forms of a message and usually the other form, without TE-cassette, is expressed in a cell. Tables listing vertebrate messages with TE-cassettes are available at http://warta.bio.psu.edu/ScrapYard/.

Animals↗