4 results on '"Augusto DG"'
Search Results
2. High-throughput complement component 4 genomic sequence analysis with C4Investigator.
- Author
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Marin WM, Augusto DG, Wade KJ, and Hollenbach JA
- Subjects
- Humans, Alleles, Complement C4 genetics, Genomics, Sequence Analysis, Epitopes, DNA Copy Number Variations, Complement C4b genetics
- Abstract
The complement component 4 gene loci, composed of the C4A and C4B genes and located on chromosome 6, encodes for complement component 4 (C4) proteins, a key intermediate in the classical and lectin pathways of the complement system. The complement system is an important modulator of immune system activity and is also involved in the clearance of immune complexes and cellular debris. C4A and C4B gene loci exhibit copy number variation, with each composite gene varying between 0 and 5 copies per haplotype. C4A and C4B genes also vary in size depending on the presence of the human endogenous retrovirus (HERV) in intron 9, denoted by C4(L) for long-form and C4(S) for short-form, which affects expression and is found in both C4A and C4B. Additionally, human blood group antigens Rodgers and Chido are located on the C4 protein, with the Rodger epitope generally found on C4A protein, and the Chido epitope generally found on C4B protein. C4A and C4B copy number variation has been implicated in numerous autoimmune and pathogenic diseases. Despite the central role of C4 in immune function and regulation, high-throughput genomic sequence analysis of C4A and C4B variants has been impeded by the high degree of sequence similarity and complex genetic variation exhibited by these genes. To investigate C4 variation using genomic sequencing data, we have developed a novel bioinformatic pipeline for comprehensive, high-throughput characterization of human C4A and C4B sequences from short-read sequencing data, named C4Investigator. Using paired-end targeted or whole genome sequence data as input, C4Investigator determines the overall gene copy numbers, as well as C4A, C4B, C4(Rodger), C4(Ch), C4(L), and C4(S). Additionally, C4Ivestigator reports the full overall C4A and C4B aligned sequence, enabling nucleotide level analysis. To demonstrate the utility of this workflow we have analyzed C4A and C4B variation in the 1000 Genomes Project Data set, showing that these genes are highly poly-allelic with many variants that have the potential to impact C4 protein function., (© 2023 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)
- Published
- 2024
- Full Text
- View/download PDF
3. High-resolution characterization of 12 classical and non-classical HLA loci in Southern Brazilians.
- Author
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Castro MS, Issler HC, Gelmini GF, de Miranda BLM, Calonga-Solís V, Schmidt AH, Stein A, Bicalho MDG, Petzl-Erler ML, and Augusto DG
- Subjects
- Alleles, Brazil, Gene Frequency genetics, Geography, Haplotypes genetics, Humans, Linkage Disequilibrium genetics, Principal Component Analysis, Genetic Loci, Histocompatibility Antigens Class I genetics
- Abstract
The human leukocyte antigen (HLA) are the most polymorphic genes in the human genome. Because of their importance for antigen recognition, HLA molecules play a central role in host defense and graft rejection upon transplantation. The aim of this study was to characterize allelic diversity of the classical HLA genes HLA-A, -B, -C, -DRA, -DRB1, -DQA1, -DQB1, -DPA1, -DPB1, and the non-classical class I genes HLA-E, -F and -G at high-resolution for a population of predominantly European ancestry from Curitiba, Brazil. Genotyping of 108 individuals was performed by next-generation sequencing on the MiSeq platform and also by Sanger sequencing. The genotype distributions of all loci were in accordance with Hardy-Weinberg equilibrium (P > 0.05) and a total of 202 HLA variants at second field resolution were observed for the 12 loci. The strongest linkage disequilibrium (r
2 = 1.0, P < 10-5 ) was observed for the following pairs of alleles: HLA-B*42:01:01 ~ HLA-DRB1*03:02:01; HLA-B*14:02:01 ~ HLA-C*08:02:01; B*42:01:01 ~ HLA-C*17:01:01; HLA-DRB1*03:01:01 ~ HLA-DQB1*02:01:01 ~ DRB1*03:01:01 ~ HLA-DQB1*02:01:01; DRB1*13:01:01~ HLA-DQB1*06:03:01 and HLA-DRB1*09:01:02 ~ HLA-DQA1*03:02. This is the first study to characterize all 12 HLA genes at high resolution in a single population. On the basis of the allelic frequencies of worldwide populations and principal component analysis, we confirmed the similarity of the study population to European and other Euro-descendant populations., (© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)- Published
- 2019
- Full Text
- View/download PDF
4. Cost-effective and fast KIR gene-content genotyping by multiplex melting curve analysis.
- Author
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Amorim LM, Santos THS, Hollenbach JA, Norman PJ, Marin WM, Dandekar R, Ribeiro EMSF, Petzl-Erler ML, and Augusto DG
- Subjects
- DNA Primers chemistry, DNA Primers metabolism, Gene Expression, Genotyping Techniques economics, Genotyping Techniques instrumentation, Genotyping Techniques standards, High-Throughput Nucleotide Sequencing, Humans, Killer Cells, Natural cytology, Killer Cells, Natural immunology, Limit of Detection, Multiplex Polymerase Chain Reaction economics, Multiplex Polymerase Chain Reaction instrumentation, Multiplex Polymerase Chain Reaction standards, Nucleic Acid Denaturation, Receptors, KIR classification, Receptors, KIR immunology, Software, Genotype, Genotyping Techniques methods, Multiplex Polymerase Chain Reaction methods, Polymorphism, Genetic, Receptors, KIR genetics
- Abstract
Killer cell immunoglobulin-like receptor (KIR) genes encode cell surface molecules that recognize HLA molecules and modulate the activity of natural killer (NK) cells. KIR genes exhibit presence and absence polymorphism, which generates a variety of gene-content haplotypes in worldwide populations. KIR gene-content variation is implicated in many diseases and is also important for placentation and transplantation. Because of the complexity of KIR polymorphism, variation in this family is still mostly studied at the gene-content level, even with the advent of next-generation sequencing (NGS) methods. Gene-content determination is generally expensive and/or time-consuming. To overcome these difficulties, we developed a method based on multiplex polymerase chain reaction with specific sequence primers (PCR-SSP) followed by melting curve analysis that allows cost-effective, precise and fast generation of results. Our method was 100% concordant with a gel-based method and 99.9% concordant with presence and absence determination by NGS. The limit of detection for accurate typing was 30 ng of DNA (0.42 μM) with 260/230 and 260/280 ratios as low as 0.19 and of 0.44. In addition, we developed a user-friendly Java-based computational application called killerPeak that interprets the raw data generated by Viia7 or QuantStudio 7 quantitative PCR machines and reliably exports the final genotyping results in spreadsheet file format. The combination of a reliable method that requires low amount of DNA with an automated interpretation of results allows scaling the KIR genotyping in large cohorts with reduced turnaround time., (© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)
- Published
- 2018
- Full Text
- View/download PDF
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