Biomedical subjects

Paulo A S Nuin

Publications and source records attributed to Paulo A S Nuin.

5 recordsLinked to original sources

PubMed2006

The accuracy of several multiple sequence alignment programs for proteins.

BACKGROUND: There have been many algorithms and software programs implemented for the inference of multiple sequence alignments of protein and DNA sequences. The "true" alignment is usually unknown due to the incomplete knowledge of the evolutionary history of the sequences, making it difficult to gauge the relative accuracy of the programs. RESULTS: We tested nine of the most often used protein alignment programs and compared their results using sequences generated with the simulation software Simprot which creates known alignments under realistic and controlled evolutionary scenarios. We have simulated more than 30,000 alignment sets using various evolutionary histories in order to define strengths and weaknesses of each program tested. We found that alignment accuracy is extremely dependent on the number of insertions and deletions in the sequences, and that indel size has a weaker effect. We also considered benchmark alignments from the latest version of BAliBASE and the results relative to BAliBASE- and Simprot-generated data sets were consistent in most cases. CONCLUSION: Our results indicate that employing Simprot's simulated sequences allows the creation of a more flexible and broader range of alignment classes than the usual methods for alignment accuracy assessment. Simprot also allows for a quick and efficient analysis of a wider range of possible evolutionary histories that might not be present in currently available alignment sets. Among the nine programs tested, the iterative approach available in Mafft (L-INS-i) and ProbCons were consistently the most accurate, with Mafft being the faster of the two.

Amino Acid Sequence↗

PubMed2006

Metaphase and array comparative genomic hybridization: unique copy number changes and gene amplification of medulloblastomas in South America.

Tumors of the central nervous system are the second most frequent malignancy of childhood, accounting for the majority of cancer-related deaths in this age group. Among these tumors, medulloblastomas (MB) remain in need of further genomic characterization toward understanding of pathogenesis and outcome predictors. Eight pediatric embryonal brain tumors were analyzed: five MB (one being desmoplastic), one PNET, one medulloepithelioma, and one ependymoblastoma. Analyses identified genomic imbalances, including the gain of 16p and the nonsyntenic coamplification of MYCN and TERT loci. More detailed FISH analysis showed that coamplification of MYCN and TERT in one of the MBs manifested as dispersed nuclear speckling, consistent with the presence of double minute chromosomes. There was considerable cell-to-cell copy number heterogeneity present, but it was clear that both genes were amplified concordantly. The amplification of oncogenes seems to play an important role in the pathogenesis of MB, and the association between MYCN and TERT amplifications and poor prognosis has not been well recognized. The uncharacteristic pattern of genomic imbalances detected in MB tumors may be a reflection of the characteristics of these tumors occurring in South America.

Adolescent↗

PubMed2006

Interphase FISH analysis of PTEN in histologic sections shows genomic deletions in 68% of primary prostate cancer and 23% of high-grade prostatic intra-epithelial neoplasias.

Prostate cancer (CaP) is characterized by the accumulation of both genetic and epigenetic alterations that transform premalignant lesions to invasive carcinoma. However, the molecular events underlying this critical transition are poorly understood. One of the important genes that might play a role in CaP development is the PTEN gene. At the present time, there has been no systematic analysis of the incidence of genomic PTEN deletion by fluorescence in situ hybridization (FISH) in CaP and associated preneoplastic histologic lesions. This study assesses the frequency of PTEN deletion by interphase FISH analysis in CaP and prostatic intra-epithelial neoplasia (PIN). Dual-color FISH was performed using DNA probes for bands 10q23.3 (PTEN locus) and chromosome 10 centromere using 35 radical prostatectomy specimens. PTEN deletions were not found in 3/3 of stroma, 6/6 samples of benign glandular epithelium, and 12/12 samples of low-grade PIN. However, PTEN deletions were found in 3/13 (23%) of high-grade PIN and 24/35 (68%) of CaP. Concordance was observed between PTEN deletion status and the overall cellular PTEN protein expression levels, as assessed by immunohistochemistry. The high frequency of PTEN deletion observed in CaP versus precursor lesions implicates a pivotal role for PTEN haploinsufficiency in the transition from preneoplastic PIN to CaP. Moreover, this observation is an important consideration for novel therapeutic trials in CaP in which biologic efficacy is influenced by the activity level of PTEN. These findings draw attention to the usefulness of this relatively simple FISH assay for future applications in clinical laboratories.

Gene Deletion↗

PubMed2005

SIMPROT: using an empirically determined indel distribution in simulations of protein evolution.

BACKGROUND: General protein evolution models help determine the baseline expectations for the evolution of sequences, and they have been extensively useful in sequence analysis and for the computer simulation of artificial sequence data sets. RESULTS: We have developed a new method of simulating protein sequence evolution, including insertion and deletion (indel) events in addition to amino-acid substitutions. The simulation generates both the simulated sequence family and a true sequence alignment that captures the evolutionary relationships between amino acids from different sequences. Our statistical model for indel evolution is based on the empirical indel distribution determined by Qian and Goldstein. We have parameterized this distribution so that it applies to sequences diverged by varying evolutionary times and generalized it to provide flexibility in simulation conditions. Our method uses a Monte-Carlo simulation strategy, and has been implemented in a C++ program named Simprot. CONCLUSION: Simprot will be useful for testing methods of analysis of protein sequence families particularly alignment methods, phylogenetic tree building, detection of recombination and horizontal gene transfer, and homology detection, where knowing the true course of sequence evolution is essential.

Amino Acid Substitution↗

PubMed2005

WinPop 2.5: software for representing population genetics phenomena.

The curriculum for genetics courses is shifting from a classical to a more molecular genetics focus, increasing the importance of subjects such as population genetics. Population genetics is a computational and statistical field that requires a good understanding of the nature of stochastic events. It is a difficult field for biology students with a limited mathematical background and there is a need for visualisation tools to facilitate understanding by the use of practical examples. WinPop provides students and researchers with a visual tool to allow the simulation and representation of population genetics phenomena. WinPop is a user-friendly software meant for use in population genetics courses and basic research. WinPop 2.5 contains six different modules that represent and simulate population genetics models. Genotype and allele frequencies are calculated under the different models: panmixia, genetic drift, assortative matings, selection, gene flow and mutation. The program's interface presents information in Cartesian graphics and isosceles triangular coordinate systems, allowing the user to save graphical and textual data output from the simulations. WinPop is developed in Visual Basic 6.0 and uses Windows 95 and higher. WinPop 2.5 can be downloaded from http://www.genedrift.org/winpop.php.

Algorithms↗