FusionPDB: a knowledgebase of human fusion proteins.

Tumorigenic functions due to the formation of fusion genes have been targeted for cancer therapeutics (i.e. kinase inhibitors). However, many fusion proteins involved in various cellular processes have not been studied for targeted therapeutics. This is because the lack of complete fusion protein sequences and their whole 3D structures has made it challenging to develop new therapeutic strategies. To fill these critical gaps, we developed a computational pipeline and a resource of human fusion proteins named FusionPDB, available at https://compbio.uth.edu/FusionPDB. FusionPDB is organized into four levels: 43K fusion protein sequences (14.7K in-frame fusion genes, Level 1), over 2300 + 1267 fusion protein 3D structures (from 2300 recurrent and 266 manually curated in-frame fusion genes, Level 2), pLDDT score analysis for the 1267 fusion proteins from 266 manually curated fusion genes (Level 3), and virtual screening outcomes for 68 selected fusion proteins from 266 manually curated fusion genes (Level 4). FusionPDB is the only resource providing whole 3D structures of fusion proteins and comprehensive knowledge of human fusion proteins. It will be regularly updated until it covers all human fusion proteins in the future.

Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology.

Circulating tumor DNA (ctDNA) sequencing is being rapidly adopted in precision oncology, but the accuracy, sensitivity and reproducibility of ctDNA assays is poorly understood. Here we report the findings of a multi-site, cross-platform evaluation of the analytical performance of five industry-leading ctDNA assays. We evaluated each stage of the ctDNA sequencing workflow with simulations, synthetic DNA spike-in experiments and proficiency testing on standardized, cell-line-derived reference samples. Above 0.5% variant allele frequency, ctDNA mutations were detected with high sensitivity, precision and reproducibility by all five assays, whereas, below this limit, detection became unreliable and varied widely between assays, especially when input material was limited. Missed mutations (false negatives) were more common than erroneous candidates (false positives), indicating that the reliable sampling of rare ctDNA fragments is the key challenge for ctDNA assays. This comprehensive evaluation of the analytical performance of ctDNA assays serves to inform best practice guidelines and provides a resource for precision oncology.

Clinical actionability enhanced through deep targeted sequencing of solid tumors.

BACKGROUND: Further advances of targeted cancer therapy require comprehensive in-depth profiling of somatic mutations that are present in subpopulations of tumor cells in a clinical tumor sample. However, it is unclear to what extent such intratumor heterogeneity is present and whether it may affect clinical decision-making. To study this question, we established a deep targeted sequencing platform to identify potentially actionable DNA alterations in tumor samples. METHODS: We assayed 515 formalin-fixed paraffin-embedded (FFPE) tumor samples and matched germline DNA (475 patients) from 11 disease sites by capturing and sequencing all the exons in 201 cancer-related genes. Mutations, indels, and copy number data were reported. RESULTS: We obtained a 1000-fold mean sequencing depth and identified 4794 nonsynonymous mutations in the samples analyzed, of which 15.2% were present at <10% allele frequency. Most of these low level mutations occurred at known oncogenic hotspots and are likely functional. Identifying low level mutations improved identification of mutations in actionable genes in 118 (24.84%) patients, among which 47 (9.8%) otherwise would have been unactionable. In addition, acquiring ultrahigh depth also ensured a low false discovery rate (<2.2%) from FFPE samples. CONCLUSIONS: Our results were as accurate as a commercially available CLIA-compliant hotspot panel but allowed the detection of a higher number of mutations in actionable genes. Our study reveals the critical importance of acquiring and utilizing high sequencing depth in profiling clinical tumor samples and presents a very useful platform for implementing routine sequencing in a cancer care institution.

Quantitative evaluation of the mitochondrial DNA depletion syndrome.

BACKGROUND: The mitochondrial DNA (mtDNA) depletion syndromes (MDDSs) are autosomal recessive disorders characterized by a reduction in cellular mtDNA content. Mutations in at least 9 genes [POLG, polymerase (DNA directed), gamma; DGUOK, deoxyguanosine kinase; TK2, thymidine kinase, mitochondrial; TYMP, thymidine phosphorylase; MPV17, MpV17 mitochondrial inner membrane protein; SUCLA2, succinate-CoA ligase, ADP-forming, beta subunit; SUCLG1, succinate-CoA ligase, alpha subunit; RRM2B, RRM2B, ribonucleotide reductase M2 B (TP53 inducible); and C10orf2, chromosome 10 open reading frame 2 (also known as TWINKLE)] have been reported to cause mtDNA depletion. In the clinical setting, a simple method to quantify mtDNA depletion would be useful before undertaking gene sequence analysis. METHODS: Real-time quantitative PCR (qPCR) was used to measure the mtDNA content in blood, muscle, and liver samples and in skin fibroblast cultures from individuals suspected of mitochondrial disorders, with or without deleterious mutations in genes responsible for MDDS. RESULTS: The mtDNA content was quantified in 776 tissue samples (blood, n = 341; muscle, n = 325; liver, n = 63; skin fibroblasts, n = 47) from control individuals. mtDNA content increased with age in muscle tissue, decreased with age in blood samples, and appeared to be unaffected by age in liver samples. In 165 samples (blood, n = 122; muscle, n = 21; liver, n = 15; skin fibroblasts, n = 7) from patients with molecularly proven MDDSs, severe mtDNA depletion was detected in liver and muscle tissue with high specificity and sensitivity. Blood samples were specific but not sensitive for detecting mtDNA depletion, and skin fibroblasts were not valuable for evaluating mtDNA depletion. Mutations in the POLG, RRM2B, and MPV17 genes were prospectively identified in 1 blood, 1 liver, and 3 muscle samples. CONCLUSIONS: Muscle and liver tissues, but not blood or skin fibroblasts, are potentially useful for rapid screening for mtDNA depletion with real-time qPCR.

A novel c.592-4_c.592-3delTT mutation in DGUOK gene causes exon skipping.

Deoxyguanosine kinase (DGUOK) catalyzes the first step of the mitochondrial deoxypurine salvage pathway, the phosphorylation of purine deoxyribonucleosides. Mutations in the DGUOK gene have been linked to inherited mtDNA depletion syndromes, neonatal liver failure, nystagmus, and hypotonia. Previously, we reported the first case of a heterozygous unclassified c.592-4_c.592-3delTT alteration in a patient with DGUOK deficiency without the demonstration of its pathogenicity (Dimmock et al., 2008). This alteration was predicted to cause aberrant splicing based upon two computer algorithms. We now report a homozygous c.592-4_c.592-3delTT mutation found in two affected siblings of asymptomatic consanguineous parents. The proband presented with symptoms of idiopathic hepatitis, liver dysfunction, nystagmus, and retinal blindness. This individual died at 6months of age due to liver failure. This individual's affected sibling presented similarly and has remarkable elevations of tyrosine, methionine, and alanine. Many organic acids were elevated in urine, including lactic acid, Krebs cycle intermediates, and para-hydroxy compounds; ketone bodies were also present. RNA studies support aberrant splicing. Sequencing of cDNA detected exon 5 skipping in the two affected siblings, but not in the normal control. These results indicate that the homozygous c.592-4_c.592-3delTT is deleterious and responsible for the DGUOK deficiency. The parents were subsequently confirmed to be carriers of this mutation. In summary, we have demonstrated that c.592-4_c.592-3delTT is a pathogenic splice acceptor site mutation leading to DGUOK deficiency.

Application of dual-genome oligonucleotide array-based comparative genomic hybridization to the molecular diagnosis of mitochondrial DNA deletion and depletion syndromes.

PURPOSE: Mitochondrial disorders constitute a group of clinically and genetically heterogeneous diseases for which molecular diagnosis has been a challenge. The current procedures for diagnosis of mitochondrial DNA deletion and depletion syndromes based on Southern analysis and quantitative polymerase chain reaction are particularly inefficient for determining important parameters of deletion endpoints and percent heteroplasmy. We have developed an improved approach for routine analyses of these disorders in a clinical laboratory. METHODS: A custom-designed oligonucleotide array-based comparative genomic hybridization platform was developed to provide both tiled coverage of the entire 16.6-kb mitochondrial genome and high-density coverage of nuclear genes involved in mitochondrial biogenesis and function, for quick evaluation of mitochondrial DNA deletion and depletion. RESULTS: For initial validation, the performance of this array was characterized in 20 samples with known mitochondrial DNA deletions and 12 with apparent depletions. All previously known deletions were clearly detected and the break points were correctly identified by the oligonucleotide array-based comparative genomic hybridization, within the limits of resolution of the array. The extent of mitochondrial DNA depletion and the percentage of deletion heteroplasmy were estimated using an automated computational approach that gave results comparable to previous methods. Conclusions from subsequent application of this approach with >300 new clinical samples have been in 100% concordance with those from standard methods. Finally, for one sample, we were able to identify an intragenic deletion in a nuclear gene that was responsible for the observed mitochondrial DNA depletion. CONCLUSION: We conclude that this custom array is capable of reliably detecting mitochondrial DNA deletion with elucidation of the deletion break points and the percentage of heteroplasmy. In addition, simultaneous detection of the copy number changes in both nuclear and mitochondrial genomes makes this dual genome array of tremendous value in the diagnoses of mitochondrial DNA depletion syndromes.

Sensory ataxic neuropathy with ophthalmoparesis caused by POLG mutations.

Mutations in POLG gene are responsible for a wide spectrum of clinical disorders with altered mitochondrial DNA (mtDNA) integrity, including mtDNA multiple deletions and depletion. Sensory ataxic neuropathy with ophthalmoparesis (SANDO) caused by mutations in POLG gene, fulfilling the clinical triad of sensory ataxic neuropathy, dysarthria and/or dysphagia and ophthalmoparesis, has described in a few reports. Here we described five cases of adult onset autosomal recessive sensory ataxic neuropathy with ophthalmoplegia. All patients had ataxia, neuropathy, myopathy, and progressive external ophthalmoplegia (PEO). The muscle pathology revealed ragged-red and cytochrome c oxidase (COX) negative fibers in three patients. However, deficiencies in the activities of mitochondrial respiratory chain enzyme complexes were not detected in any of the patients' muscle samples. Multiple deletions of mtDNA were detected in blood and muscle specimens but mtDNA depletion was not found. Due to these diagnostic difficulties, POLG-related syndromes are definitively diagnosed based on the presence of deleterious mutations in the POLG gene.

DNA methyltransferase gene dDnmt2 and longevity of Drosophila.

The DNA methylation program of the fruit fly Drosophila melanogaster is carried out by the single DNA methyltransferase gene dDnmt2, the function of which is unknown before. We present evidence that intactness of the gene is required for maintenance of the normal life span of the fruit flies. In contrast, overexpression of dDnmt2 could extend Drosophila life span. The study links the Drosophila DNA methylation program with the small heatshock proteins and longevity/aging and has interesting implication on the eukaryotic DNA methylation programs in general.

A candidate gene for Drosophila genome methylation.

Like vertebrates, the genome of Drosophila melanogaster also contains methylated cytosines. However, the enzyme(s) responsible for this methylation has been elusive. By DNA transfection and sodium bisulfite sequencing, we show here that overexpression of dDnmt2, which is the only expressed and cloned Drosophila protein consisting of motifs conserved among the DNA cytosine methyltransferases, results in genomic DNA methylation of Drosophila S2 cells. The data provide the first evidence for dDnmt2 being one candidate gene encoding the Drosophila DNA methyltransferase(s).

The eukaryotic DNMT2 genes encode a new class of cytosine-5 DNA methyltransferases.

DNMT2 is a subgroup of the eukaryotic cytosine-5 DNA methyltransferase gene family. Unlike the other family members, proteins encoded by DNMT2 genes were not known before to possess DNA methyltransferase activities. Most recently, we have shown that the genome of Drosophila S2 cells stably expressing an exogenous Drosophila dDNMT2 cDNA became anomalously methylated at the 5'-positions of cytosines (Reddy, M. N., Tang, L. Y., Lee, T. L., and Shen, C.-K. J. (2003) Oncogene, in press). We present evidence here that the genomes of transgenic flies overexpressing the dDnmt2 protein also became hypermethylated at specific regions. Furthermore, transient transfection studies in combination with sodium bisulfite sequencing demonstrated that dDnmt2 as well as its mouse ortholog, mDnmt2, are capable of methylating a cotransfected plasmid DNA. These data provide solid evidence that the fly and mouse DNMT2 gene products are genuine cytosine-5 DNA methyltransferases.