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1.
Curr Genomics ; 19(3): 227-239, 2018 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-29606910

RESUMO

BACKGROUND: The postgenomic era is featured by massive data collection and analyses from various large scale-omics studies. Despite the promising capability of systems biology and bioinformatics to handle large data sets, data interpretation, especially the translation of -omics data into clinical implications, has been challenging. DISCUSSION: In this perspective, some important conceptual and technological limitations of current systems biology are discussed in the context of the ultimate importance of the genome beyond the collection of all genes. Following a brief summary of the contributions of molecular cytogenetics/cytogenomics in the pre- and post-genomic eras, new challenges for postgenomic research are discussed. Such discussion leads to a call to search for a new conceptual framework and holistic methodologies. CONCLUSION: Throughout this synthesis, the genome theory of somatic cell evolution is highlighted in contrast to gene theory, which ignores the karyotype-mediated higher level of genetic information. Since "system inheritance" is defined by the genome context (gene content and genomic topology) while "parts inheritance" is defined by genes/epigenes, molecular cytogenetics and cytogenomics (which directly study genome structure, function, alteration and evolution) will play important roles in this postgenomic era.

2.
BMC Evol Biol ; 16: 47, 2016 Feb 29.
Artigo em Inglês | MEDLINE | ID: mdl-26923229

RESUMO

BACKGROUND: Low complexity regions (LCRs) are a ubiquitous feature in genomes and yet their evolutionary history and functional roles are unclear. Previous studies have shown contrasting evidence in favor of both neutral and selective mechanisms of evolution for different sets of LCRs suggesting that modes of identification of these regions may play a role in our ability to discern their evolutionary history. To further investigate this issue, we used a multiple threshold approach to identify species-specific profiles of proteome complexity and, by comparing properties of these sets, determine the influence that starting parameters have on evolutionary inferences. RESULTS: We find that, although qualitatively similar, quantitatively each species has a unique LCR profile which represents the frequency of these regions within each genome. Inferences based on these profiles are more accurate in comparative analyses of genome complexity as they allow to determine the relative complexity of multiple genomes as well as the type of repetitiveness that is most common in each. Based on the multiple threshold LCR sets obtained, we identified predominant evolutionary mechanisms at different complexity levels, which show neutral mechanisms acting on highly repetitive LCRs (e.g., homopolymers) and selective forces becoming more important as heterogeneity of the LCRs increases. CONCLUSIONS: Our results show how inferences based on LCRs are influenced by the parameters used to identify these regions. Sets of LCRs are heterogeneous aggregates of regions that include homo- and heteropolymers and, as such, evolve according to different mechanisms. LCR profiles provide a new way to investigate genome complexity across species and to determine the driving mechanism of their evolution.


Assuntos
Apicomplexa/genética , Evolução Molecular , Genoma de Protozoário , Composição de Bases , Biologia Computacional , Modelos Lineares , Sequências Repetitivas de Ácido Nucleico , Especificidade da Espécie
3.
Cell Death Discov ; 7(1): 62, 2021 Mar 29.
Artigo em Inglês | MEDLINE | ID: mdl-33782397

RESUMO

Approximately 25% of all cases of ovarian cancer (OVCA) cases are associated with inherited risk. However, accurate risk assessment is limited by the presence of variants of unknown significance (VUS). Previously, we performed whole-exome sequencing on 48 OVCA patients with familial predisposition, yet negative for pathogenic BRCA1/2 mutations. In our cohort, we uncovered thirteen truncating mutations in genes associated with apoptosis (~35% of our patient cohort). The TP53I3 p.S252X premature stop gain was identified in two unrelated patients. TP53I3 is transcriptionally activated by p53 and believed to play a role in DNA damage response and reactive oxygen species-induced apoptosis. In addition, nonsense variants in apoptosis-related genes TP53AIP1, BCLAF1, and PIK3C2G were identified in our cohort; highlighting the potential relevance of genes involved in apoptotic processes to hereditary cancer. In the current study, we employed functional assays and demonstrated that cells expressing TP53I3 p.S252X displayed decreased homologous recombination repair efficiency and increased sensitivity to chemotherapeutic drugs bleomycin, mitomycin c, and etoposide. In addition, in the presence of oxidative stress from hydrogen peroxide or etoposide we observed a reduction in the formation of reactive oxygen species, an important precursor to apoptosis with this variant. Our findings suggest that the combination of in silico and wet laboratory approaches can better evaluate VUSs, establish novel germline predisposition genetic loci, and improve individual cancer risk estimates.

4.
J Pak Med Assoc ; 59(9): 650-5, 2009 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-19750870

RESUMO

OBJECTIVE: To objectively compare the differences in knowledge and practices regarding healthy lifestyle among medical and non-medical students of Karachi along with assessment of any perceived barriers. METHODS: This cross-sectional study included 350 students between ages 17-24 years from 6 private universities of Karachi--three medical and three non-medical Institutions. A self-reported questionnaire was employed to assess attitude and barriers to healthy practices among the simple random selection of students. RESULTS: On a 10-point scale, the average knowledge score of students on general and clinical nutritional knowledge was 5.7 +/- 1.51 and 4.4 +/- 1.77, respectively and the difference was statistically significant (p < 0.01). Conversely the diet and lifestyle score (85-point scale) among medical (41.3) and non medical students (40.8) was not significant (p = 0.646). There was no difference between the perception of medical and non-medical students regarding 'work-related stress' in their life. 'Lack of time' was cited as the most important reason for skipping meals and as a barrier to exercising regularly among both groups. CONCLUSION: The knowledge, attitudes and practices of medical students in Karachi suggest that superior knowledge about healthy lifestyle does not necessarily result into better practices.


Assuntos
Dieta , Conhecimentos, Atitudes e Prática em Saúde , Estilo de Vida , Estudantes de Medicina , Adulto , Estudos Transversais , Feminino , Humanos , Masculino , Paquistão , Estudantes de Medicina/psicologia , Estudantes de Medicina/estatística & dados numéricos
5.
Curr Protoc Bioinformatics ; 65(1): e73, 2019 03.
Artigo em Inglês | MEDLINE | ID: mdl-30747482

RESUMO

Molecular genetic testing provides the capability for personalized prediction, diagnosis, and pharmacological treatments of disease and disorders. Variant assessment of next-generation sequencing (NGS) is a crucial component of genetic testing for clinicians to counsel patients on risk and management. The iVariantGuide application is a dynamic Web-based application made for the tertiary analysis of NGS. Along with variant assessment, iVariantGuide provides a unique interactive pathway impact analysis of genetic variants, as well as a unique Gene Ontology (GO) analysis. Here we provide a step-by-step guide on how to utilize iVariantGuide, employing a publicly available NGS dataset consisting of a cohort of germline DNAs from high-risk serous ovarian cancer (OVCA) patients. The application will be used to exhibit the ease in filtering down to a set of compelling novel variants and their impact on biological pathways and GO terms. © 2019 by John Wiley & Sons, Inc.


Assuntos
Sequenciamento de Nucleotídeos em Larga Escala/métodos , Software , Feminino , Ontologia Genética , Humanos , Polimorfismo de Nucleotídeo Único/genética
6.
Cancer Genet ; 235-236: 57-64, 2019 06.
Artigo em Inglês | MEDLINE | ID: mdl-31078449

RESUMO

Although 25% of ovarian cancer cases are due to inherited factors, most of the genetic risk remains unexplained. We previously identified candidate genes through germline whole exome sequencing of BRCA1/BRCA2 negative ovarian cancer patients with familial risk. Here, we performed functional assessment to determine whether they act as BRCA-like tumor suppressors. Seven candidate risk genes were targeted by siRNA for mRNA depletion followed by functional assays for clonogenic survival, cytotoxicity to DNA damaging agents, and involvement in homologous recombination repair. BRCA1 and BRCA1 were targeted as standards for loss of function outcome. Knockdown of various candidate genes led to tumor suppressor phenotypes also observed in BRCA1/BRCA2 deficient cells. Deficiency of CHEK1, FANCM and TP53I3 led to reduced homologous recombination repair efficiency. Knockdown of RAD1, CHEK1 or FANCM led to a decrease in cellular viability and cells deficient in CHEK1, RAD1 or TP53I3 displayed increased sensitivity to cisplatin. Functional studies of candidate genes identified by whole exome sequencing complements bioinformatics techniques and aid the implication of novel risk loci. The results of this study suggest that genes found mutated in hereditary ovarian cancer, FANCM, RAD1, CHEK1 and TP53I3, act as BRCA-like tumor suppressors.


Assuntos
Quinase 1 do Ponto de Checagem/genética , DNA Helicases/genética , Exonucleases/genética , Peptídeos e Proteínas de Sinalização Intracelular/genética , Síndromes Neoplásicas Hereditárias/genética , Neoplasias Ovarianas/genética , Proteínas Proto-Oncogênicas/genética , Proteína BRCA1/genética , Proteína BRCA2/genética , Linhagem Celular Tumoral , Feminino , Predisposição Genética para Doença/genética , Células HeLa , Humanos , Interferência de RNA , RNA Interferente Pequeno/genética
7.
PLoS One ; 12(6): e0178450, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-28591191

RESUMO

While up to 25% of ovarian cancer (OVCA) cases are thought to be due to inherited factors, the majority of genetic risk remains unexplained. To address this gap, we sought to identify previously undescribed OVCA risk variants through the whole exome sequencing (WES) and candidate gene analysis of 48 women with ovarian cancer and selected for high risk of genetic inheritance, yet negative for any known pathogenic variants in either BRCA1 or BRCA2. In silico SNP analysis was employed to identify suspect variants followed by validation using Sanger DNA sequencing. We identified five pathogenic variants in our sample, four of which are in two genes featured on current multi-gene panels; (RAD51D, ATM). In addition, we found a pathogenic FANCM variant (R1931*) which has been recently implicated in familial breast cancer risk. Numerous rare and predicted to be damaging variants of unknown significance were detected in genes on current commercial testing panels, most prominently in ATM (n = 6) and PALB2 (n = 5). The BRCA2 variant p.K3326*, resulting in a 93 amino acid truncation, was overrepresented in our sample (odds ratio = 4.95, p = 0.01) and coexisted in the germline of these women with other deleterious variants, suggesting a possible role as a modifier of genetic penetrance. Furthermore, we detected loss of function variants in non-panel genes involved in OVCA relevant pathways; DNA repair and cell cycle control, including CHEK1, TP53I3, REC8, HMMR, RAD52, RAD1, POLK, POLQ, and MCM4. In summary, our study implicates novel risk loci as well as highlights the clinical utility for retesting BRCA1/2 negative OVCA patients by genomic sequencing and analysis of genes in relevant pathways.


Assuntos
Proteína BRCA1/genética , Proteína BRCA2/genética , Loci Gênicos , Células Germinativas/metabolismo , Padrões de Herança/genética , Neoplasias Ovarianas/genética , Adulto , Idoso , Idoso de 80 Anos ou mais , Neoplasias da Mama/genética , Ciclo Celular/genética , Reparo do DNA/genética , Feminino , Predisposição Genética para Doença , Humanos , Masculino , Pessoa de Meia-Idade , Mutação , Linhagem , Penetrância , Fatores de Risco
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