Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UNIPROT:P20226 (TATA-binding protein)
 1,297 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The intergenic regions of the human malaria parasite, Plasmodium falciparum, are extreme in their base composition, averaging approx. 90% A + T. As a first step to investigating whether transcription in this organism follows conventional models based largely on yeast, we have isolated and characterised the gene (TBP) encoding its TATA-binding protein (TBP). The gene is present as a single copy on chromosome 5 and is expressed as a 1.8-kb mRNA encoding a protein of 228 amino acids (aa) (26 164 Da). The inferred protein product has a bipartite structure consisting of a 45-aa species-specific N-terminal domain and a 183-aa C-terminal domain. In the latter, the malarial protein contains two directly repeated, but imperfectly homologous regions, each approx. 78 aa in length, together with a highly basic region located between them. These features are characteristic of all TBPs studied to date. Moreover, hydropathy plots suggest that the overall folding of this C-terminal domain is very similar to that of other TBPs. However, TBP from P. falciparum is much less closely related at the primary sequence level to the archetypal yeast homologue than are all other characterised TBPs (42% identity, compared to 76-93%, respectively). Despite this divergence of the primary sequence, most residues known to be involved in DNA binding are conserved. Those instances where sequence variation at generally conserved residues is observed may reflect functional differences that could ultimately be exploited by selective chemotherapy.
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PMID:Characterisation of the gene encoding an unusually divergent TATA-binding protein (TBP) from the extremely A+T-rich human malaria parasite Plasmodium falciparum. 844 40

The use of biomedical SNP markers of diseases can improve effectiveness of treatment. Genotyping of patients with subsequent searching for SNPs more frequent than in norm is the only commonly accepted method for identification of SNP markers within the framework of translational research. The bioinformatics applications aimed at millions of unannotated SNPs of the "1000 Genomes" can make this search for SNP markers more focused and less expensive. We used our Web service involving Fisher's Z-score for candidate SNP markers to find a significant change in a gene's expression. Here we analyzed the change caused by SNPs in the gene's promoter via a change in affinity of the TATA-binding protein for this promoter. We provide examples and discuss how to use this bioinformatics application in the course of practical analysis of unannotated SNPs from the "1000 Genomes" project. Using known biomedical SNP markers, we identified 17 novel candidate SNP markers nearby: rs549858786 (rheumatoid arthritis); rs72661131 (cardiovascular events in rheumatoid arthritis); rs562962093 (stroke); rs563558831 (cyclophosphamide bioactivation); rs55878706 (malaria resistance, leukopenia), rs572527200 (asthma, systemic sclerosis, and psoriasis), rs371045754 (hemophilia B), rs587745372 (cardiovascular events); rs372329931, rs200209906, rs367732974, and rs549591993 (all four: cancer); rs17231520 and rs569033466 (both: atherosclerosis); rs63750953, rs281864525, and rs34166473 (all three: malaria resistance, thalassemia).
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PMID:How to Use SNP_TATA_Comparator to Find a Significant Change in Gene Expression Caused by the Regulatory SNP of This Gene's Promoter via a Change in Affinity of the TATA-Binding Protein for This Promoter. 2651 24