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"Robinson, James T"
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Integrative genomic analysis by interoperation of bioinformatics tools in GenomeSpace
GenomeSpace is an open-source, cloud-based interoperability platform that facilitates integrative genomic analyses, allowing users to transition seamlessly between a diverse and growing set of bioinformatics tools and data resources.
Complex biomedical analyses require the use of multiple software tools in concert and remain challenging for much of the biomedical research community. We introduce GenomeSpace (
http://www.genomespace.org
), a cloud-based, cooperative community resource that currently supports the streamlined interaction of 20 bioinformatics tools and data resources. To facilitate integrative analysis by non-programmers, it offers a growing set of 'recipes', short workflows to guide investigators through high-utility analysis tasks.
Journal Article
Compression of Structured High-Throughput Sequencing Data
Large biological datasets are being produced at a rapid pace and create substantial storage challenges, particularly in the domain of high-throughput sequencing (HTS). Most approaches currently used to store HTS data are either unable to quickly adapt to the requirements of new sequencing or analysis methods (because they do not support schema evolution), or fail to provide state of the art compression of the datasets. We have devised new approaches to store HTS data that support seamless data schema evolution and compress datasets substantially better than existing approaches. Building on these new approaches, we discuss and demonstrate how a multi-tier data organization can dramatically reduce the storage, computational and network burden of collecting, analyzing, and archiving large sequencing datasets. For instance, we show that spliced RNA-Seq alignments can be stored in less than 4% the size of a BAM file with perfect data fidelity. Compared to the previous compression state of the art, these methods reduce dataset size more than 40% when storing exome, gene expression or DNA methylation datasets. The approaches have been integrated in a comprehensive suite of software tools (http://goby.campagnelab.org) that support common analyses for a range of high-throughput sequencing assays.
Journal Article
Discovery and saturation analysis of cancer genes across 21 tumour types
Although a few cancer genes are mutated in a high proportion of tumours of a given type (>20%), most are mutated at intermediate frequencies (2–20%). To explore the feasibility of creating a comprehensive catalogue of cancer genes, we analysed somatic point mutations in exome sequences from 4,742 human cancers and their matched normal-tissue samples across 21 cancer types. We found that large-scale genomic analysis can identify nearly all known cancer genes in these tumour types. Our analysis also identified 33 genes that were not previously known to be significantly mutated in cancer, including genes related to proliferation, apoptosis, genome stability, chromatin regulation, immune evasion, RNA processing and protein homeostasis. Down-sampling analysis indicates that larger sample sizes will reveal many more genes mutated at clinically important frequencies. We estimate that near-saturation may be achieved with 600–5,000 samples per tumour type, depending on background mutation frequency. The results may help to guide the next stage of cancer genomics.
Large-scale genomic analysis of somatic point mutations in exomes from tumour–normal pairs across 21 cancer types identifies most known cancer genes in these tumour types as well as 33 genes not known to be significantly mutated, and down-sampling analysis indicates that larger sample sizes will reveal many more genes mutated at clinically important frequencies.
New cancer genes identified
Most cancer genes are mutated at intermediate frequencies, appearing in less than one in five samples of a particular tumour type, so the accurate identification of cancer genes needs to be based on large-scale sampling in order to take account of this mutation-rate heterogeneity. This study presents a statistical analysis of 21 tumour types from more than 4,700 tumour–normal pairs. The authors identify 33 previously unknown genes related to proliferation, apoptosis, genome stability, chromatin regulation, immune evasion, RNA processing and protein homeostasis. Further analyses suggest that near-saturation may be achieved with between 600 and 5,000 samples for a given tumour type, depending on background mutation rate.
Journal Article
Circular extrachromosomal DNA promotes tumor heterogeneity in high-risk medulloblastoma
Circular extrachromosomal DNA (ecDNA) in patient tumors is an important driver of oncogenic gene expression, evolution of drug resistance and poor patient outcomes. Applying computational methods for the detection and reconstruction of ecDNA across a retrospective cohort of 481 medulloblastoma tumors from 465 patients, we identify circular ecDNA in 82 patients (18%). Patients with ecDNA-positive medulloblastoma were more than twice as likely to relapse and three times as likely to die within 5 years of diagnosis. A subset of tumors harbored multiple ecDNA lineages, each containing distinct amplified oncogenes. Multimodal sequencing, imaging and CRISPR inhibition experiments in medulloblastoma models reveal intratumoral heterogeneity of ecDNA copy number per cell and frequent putative ‘enhancer rewiring’ events on ecDNA. This study reveals the frequency and diversity of ecDNA in medulloblastoma, stratified into molecular subgroups, and suggests copy number heterogeneity and enhancer rewiring as oncogenic features of ecDNA.
Circular extrachromosomal DNA in high-risk medulloblastoma contributes to tumor heterogeneity and associates with relapse and survival. Enhancer rewiring events involving known oncogenes are frequent events, affecting transcription and proliferation.
Journal Article
Mutations causing medullary cystic kidney disease type 1 lie in a large VNTR in MUC1 missed by massively parallel sequencing
Anthony Bleyer, Eric Lander, Mark Daly and colleagues show that frameshift mutations in a large VNTR of
MUC1
cause medullary cystic kidney disease type 1. Their discovery sheds light on the biology of this disease and highlights challenges in using massively parallel sequencing technologies to characterize certain types of sequence variants.
Although genetic lesions responsible for some mendelian disorders can be rapidly discovered through massively parallel sequencing of whole genomes or exomes, not all diseases readily yield to such efforts. We describe the illustrative case of the simple mendelian disorder medullary cystic kidney disease type 1 (MCKD1), mapped more than a decade ago to a 2-Mb region on chromosome 1. Ultimately, only by cloning, capillary sequencing and
de novo
assembly did we find that each of six families with MCKD1 harbors an equivalent but apparently independently arising mutation in sequence markedly under-represented in massively parallel sequencing data: the insertion of a single cytosine in one copy (but a different copy in each family) of the repeat unit comprising the extremely long (∼1.5–5 kb), GC-rich (>80%) coding variable-number tandem repeat (VNTR) sequence in the
MUC1
gene encoding mucin 1. These results provide a cautionary tale about the challenges in identifying the genes responsible for mendelian, let alone more complex, disorders through massively parallel sequencing.
Journal Article
3D genome mapping identifies subgroup-specific chromosome conformations and tumor-dependency genes in ependymoma
Ependymoma is a tumor of the brain or spinal cord. The two most common and aggressive molecular groups of ependymoma are the supratentorial
ZFTA
-fusion associated and the posterior fossa ependymoma group A. In both groups, tumors occur mainly in young children and frequently recur after treatment. Although molecular mechanisms underlying these diseases have recently been uncovered, they remain difficult to target and innovative therapeutic approaches are urgently needed. Here, we use genome-wide chromosome conformation capture (Hi-C), complemented with CTCF and H3K27ac ChIP-seq, as well as gene expression and DNA methylation analysis in primary and relapsed ependymoma tumors, to identify chromosomal conformations and regulatory mechanisms associated with aberrant gene expression. In particular, we observe the formation of new topologically associating domains (‘neo-TADs’) caused by structural variants, group-specific 3D chromatin loops, and the replacement of CTCF insulators by DNA hyper-methylation. Through inhibition experiments, we validate that genes implicated by these 3D genome conformations are essential for the survival of patient-derived ependymoma models in a group-specific manner. Thus, this study extends our ability to reveal tumor-dependency genes by 3D genome conformations even in tumors that lack targetable genetic alterations.
Ependymoma is a tumor of the brain or spinal cord with the two most common and aggressive types mainly occurring in children. Here the authors employ 3D genomics and epigenomics to reveal targets for aggressive ependymoma tumors in children.
Journal Article
The Arabic Translation and Commentary of Yefet Ben 'Eli the Karaite on the Book of Joshua
Yefet ben 'Eli (fl. 960-1005) was the most prolific and influential biblical exegete in the Karaite tradition. He was possibly the earliest Jew to write a commentary on the entire Hebrew Bible, and his writings were cited and borrowed from by Karaites and Rabbanites alike, from his own time to the early modern period. Despite his importance, however, only a small percentage of his works have been published. The present volume makes available for the first time his commentary on Joshua, which includes an Arabic translation of this difficult book with full Arabic commentary. The story of Rachab, the \"second circumcision,\" the covenant with the Gibonites, and the Sun standing still are among the things that captured Yefet's interest, who surveyed different views on these crux passages before presenting his own, very original exposition.
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