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1.
Cell Rep ; 31(5): 107550, 2020 05 05.
Artigo em Inglês | MEDLINE | ID: mdl-32375028

RESUMO

Although thousands of solid tumors have been sequenced to date, a fundamental under-sampling bias is inherent in current methodologies. This is caused by a tissue sample input of fixed dimensions (e.g., 6 mm biopsy), which becomes grossly under-powered as tumor volume scales. Here, we demonstrate representative sequencing (Rep-Seq) as a new method to achieve unbiased tumor tissue sampling. Rep-Seq uses fixed residual tumor material, which is homogenized and subjected to next-generation sequencing. Analysis of intratumor tumor mutation burden (TMB) variability shows a high level of misclassification using current single-biopsy methods, with 20% of lung and 52% of bladder tumors having at least one biopsy with high TMB but low clonal TMB overall. Misclassification rates by contrast are reduced to 2% (lung) and 4% (bladder) when a more representative sampling methodology is used. Rep-Seq offers an improved sampling protocol for tumor profiling, with significant potential for improved clinical utility and more accurate deconvolution of clonal structure.


Assuntos
Biomarcadores Tumorais/genética , Sequenciamento de Nucleotídeos em Larga Escala , Neoplasias Pulmonares/genética , Carga Tumoral/genética , Neoplasias da Bexiga Urinária/genética , Biópsia/métodos , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Humanos , Neoplasias Pulmonares/patologia , Mutação/genética , Neoplasias da Bexiga Urinária/patologia
2.
PLoS One ; 15(1): e0226340, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-31940362

RESUMO

Structural variation (SV) is typically defined as variation within the human genome that exceeds 50 base pairs (bp). SV may be copy number neutral or it may involve duplications, deletions, and complex rearrangements. Recent studies have shown SV to be associated with many human diseases. However, studies of SV have been challenging due to technological constraints. With the advent of third generation (long-read) sequencing technology, exploration of longer stretches of DNA not easily examined previously has been made possible. In the present study, we utilized third generation (long-read) sequencing techniques to examine SV in the EGFR landscape of four haplotypes derived from two human samples. We analyzed the EGFR gene and its landscape (+/- 500,000 base pairs) using this approach and were able to identify a region of non-coding DNA with over 90% similarity to the most common activating EGFR mutation in non-small cell lung cancer. Based on previously published Alu-element genome instability algorithms, we propose a molecular mechanism to explain how this non-coding region of DNA may be interacting with and impacting the stability of the EGFR gene and potentially generating this cancer-driver gene. By these techniques, we were also able to identify previously hidden structural variation in the four haplotypes and in the human reference genome (hg38). We applied previously published algorithms to compare the relative stabilities of these five different EGFR gene landscape haplotypes to estimate their relative potentials to generate the EGFR exon 19, 15 bp canonical deletion. To our knowledge, the present study is the first to use the differences in genomic architecture between targeted cancer-linked phased haplotypes to estimate their relative potentials to form a common cancer-linked driver mutation.


Assuntos
Genes erbB-1/genética , Variação Genética , Genoma Humano/genética , Instabilidade Genômica , Sequenciamento de Nucleotídeos em Larga Escala , Carcinoma Pulmonar de Células não Pequenas/genética , Simulação por Computador , Haplótipos , Humanos , Neoplasias Pulmonares/genética , Análise de Sequência de DNA
3.
Cell ; 173(3): 581-594.e12, 2018 04 19.
Artigo em Inglês | MEDLINE | ID: mdl-29656895

RESUMO

Clear-cell renal cell carcinoma (ccRCC) exhibits a broad range of metastatic phenotypes that have not been systematically studied to date. Here, we analyzed 575 primary and 335 metastatic biopsies across 100 patients with metastatic ccRCC, including two cases sampledat post-mortem. Metastatic competence was afforded by chromosome complexity, and we identify 9p loss as a highly selected event driving metastasis and ccRCC-related mortality (p = 0.0014). Distinct patterns of metastatic dissemination were observed, including rapid progression to multiple tissue sites seeded by primary tumors of monoclonal structure. By contrast, we observed attenuated progression in cases characterized by high primary tumor heterogeneity, with metastatic competence acquired gradually and initial progression to solitary metastasis. Finally, we observed early divergence of primitive ancestral clones and protracted latency of up to two decades as a feature of pancreatic metastases.


Assuntos
Carcinoma de Células Renais/genética , Carcinoma de Células Renais/patologia , Neoplasias Renais/genética , Neoplasias Renais/patologia , Mutação , Metástase Neoplásica , Adulto , Idoso , Idoso de 80 Anos ou mais , Biomarcadores/metabolismo , Biópsia , Mapeamento Cromossômico , Cromossomos Humanos Par 14 , Cromossomos Humanos Par 9 , Progressão da Doença , Feminino , Humanos , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Fenótipo , Estudos Prospectivos , Trombose , Resultado do Tratamento
4.
Methods Mol Biol ; 1708: 383-405, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29224155

RESUMO

Cytosine methylation has been shown to have a role in a host of biological processes. In mammalian biology these include stem cell differentiation, embryonic development, genomic imprinting, inflammation, and silencing of transposable elements. Given the central importance of these processes, it is not surprising to find aberrant cytosine methylation patterns associated with many disorders in humans, including cancer, cardiovascular disease, and neurological disease. While whole genome shotgun bisulfite sequencing (WGBS) has recently become feasible, generating high sequence coverage data for the entire genome is expensive, both in terms of money and analysis time, when generally only a small subset of the genome is of interest to most researchers. This report details a procedure for the targeted enrichment of bisulfite treated DNA via SeqCap Epi, allowing high resolution focus of next generation sequencing onto a subset of the genome for high resolution cytosine methylation analysis. Regions ranging in size from only a few kb up to over 200 Mb may be targeted, including the use of the SeqCap Epi CpGiant design which is designed to target 5.5 million CpGs in the human genome. Finally, multiple samples may be multiplexed and sequenced together to provide an inexpensive method of generating methylation data for a large number of samples in a high throughput fashion.


Assuntos
Metilação de DNA , Sequenciamento de Nucleotídeos em Larga Escala/métodos , Análise de Sequência de DNA/métodos , Animais , Ilhas de CpG , Humanos , Software , Sulfitos
5.
PLoS Genet ; 11(10): e1005569, 2015 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-26496357

RESUMO

Skeletal dysplasias are a common, genetically heterogeneous cause of short stature that can result from disruptions in many cellular processes. We report the identification of the lesion responsible for skeletal dysplasia and male infertility in the spontaneous, recessive mouse mutant chagun. We determined that Poc1a, encoding protein of the centriole 1a, is disrupted by the insertion of a processed Cenpw cDNA, which is flanked by target site duplications, suggestive of a LINE-1 retrotransposon-mediated event. Mutant fibroblasts have impaired cilia formation and multipolar spindles. Male infertility is caused by defective spermatogenesis early in meiosis and progressive germ cell loss. Spermatogonial stem cell transplantation studies revealed that Poc1a is essential for normal function of both Sertoli cells and germ cells. The proliferative zone of the growth plate is small and disorganized because chondrocytes fail to re-align after cell division and undergo increased apoptosis. Poc1a and several other genes associated with centrosome function can affect the skeleton and lead to skeletal dysplasias and primordial dwarfisms. This mouse mutant reveals how centrosome dysfunction contributes to defects in skeletal growth and male infertility.


Assuntos
Proteínas do Citoesqueleto/genética , Nanismo/genética , Infertilidade Masculina/genética , Elementos Nucleotídeos Longos e Dispersos/genética , Espermatogênese/genética , Animais , Proteínas de Ciclo Celular , Centríolos/genética , Centrossomo/metabolismo , Proteínas Cromossômicas não Histona/genética , Nanismo/patologia , Humanos , Infertilidade Masculina/patologia , Masculino , Meiose/genética , Camundongos , Proteínas/genética , Proteínas/metabolismo , Células de Sertoli/metabolismo , Espermatogônias/metabolismo
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