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  • 1
    Publication Date: 2013-01-17
    Description: Motivation: There is a substantial body of works in the biology literature that seeks to characterize the cyclic behavior of genes during cell division. Gene expression microarrays made it possible to measure the expression profiles of thousands of genes simultaneously in time-course experiments to assess changes in the expression levels of genes over time. In this context, the commonly used procedures for testing include the permutation test by de Lichtenberg et al. and the Fisher’s G -test, both of which are designed to evaluate periodicity against noise. However, it is possible that a gene of interest may have expression that is neither cyclic nor just noise. Thus, there is a need for a new test for periodicity that can identify cyclic patterns against not only noise but also other non-cyclic patterns such as linear, quadratic or higher order polynomial patterns. Results: To address this weakness, we have introduced an empirical Bayes approach to test for periodicity and compare its performance in terms of sensitivity and specificity with that of the permutation test and Fisher’s G -test through extensive simulations and by application to a set of time-course experiments on the Schizosaccharomyces pombe cell-cycle gene expression. We use ‘conserved’ and ‘cycling’ genes by Lu et al. to assess the sensitivity and CESR genes by Chen et al. to assess the specificity of our new empirical Bayes method. Availability and implementation: The SAS Macro for our empirical Bayes test for periodicity is included in the supplementary materials along with a sample run of the MACRO program. Contact: mkocak1@uthsc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 2
    Publication Date: 2013-01-31
    Description: Motivation: Normalization is critical in DNA copy number analysis. We propose a new method to correctly identify two-copy probes from the genome to obtain representative references for normalization in single nucleotide polymorphism arrays. The method is based on a two-state Hidden Markov Model. Unlike most currently available methods in the literature, the proposed method does not need to assume that the percentage of two-copy state probes is dominant in the genome, as long as there do exist two-copy probes. Results: The real data analysis and simulation study show that the proposed algorithm is successful in that (i) it performs as well as the current methods (e.g. CGHnormaliter and popLowess) for samples with dominant two-copy states and outperforms these methods for samples with less dominant two-copy states; (ii) it can identify the copy-neutral loss of heterozygosity; and (iii) it is efficient in terms of the computational time used. Availability: R scripts are available at http://publichealth.lsuhsc.edu/PAIR.html . Contact: zfang@lsuhsc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 3
    Publication Date: 2016-01-21
    Description: We report on a timing analysis of a new ~630 ks XMM–Newton observation of the quasar, PG 1211+143. We find a well-defined X-ray power spectrum with a well-detected bend at ~7 x 10 –5 Hz, consistent with the established t bend – M BH correlation for luminous, accreting black holes. We find the linear rms–flux relation commonly observed in accreting black hole systems and investigate the energy-dependence of the rms. The fractional rms is roughly constant with energy on short time-scales (〈1 d; within observations) whereas there is enhanced soft band variability on long time-scales (between observations typically spaced by a few days). Additionally, we also report on the optical–UV variability using the Optical Monitor on-board XMM–Newton and a ~2-month-long overlapping monitoring programme with Swift . We find that, although there is little UV variability within observations (〈1 d), UV variations of a few per cent exist on time-scales of ~days–weeks.
    Print ISSN: 0035-8711
    Electronic ISSN: 1365-2966
    Topics: Physics
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  • 4
    Publication Date: 2010-12-15
    Description: Medulloblastoma encompasses a collection of clinically and molecularly diverse tumour subtypes that together comprise the most common malignant childhood brain tumour. These tumours are thought to arise within the cerebellum, with approximately 25% originating from granule neuron precursor cells (GNPCs) after aberrant activation of the Sonic Hedgehog pathway (hereafter, SHH subtype). The pathological processes that drive heterogeneity among the other medulloblastoma subtypes are not known, hindering the development of much needed new therapies. Here we provide evidence that a discrete subtype of medulloblastoma that contains activating mutations in the WNT pathway effector CTNNB1 (hereafter, WNT subtype) arises outside the cerebellum from cells of the dorsal brainstem. We found that genes marking human WNT-subtype medulloblastomas are more frequently expressed in the lower rhombic lip (LRL) and embryonic dorsal brainstem than in the upper rhombic lip (URL) and developing cerebellum. Magnetic resonance imaging (MRI) and intra-operative reports showed that human WNT-subtype tumours infiltrate the dorsal brainstem, whereas SHH-subtype tumours are located within the cerebellar hemispheres. Activating mutations in Ctnnb1 had little impact on progenitor cell populations in the cerebellum, but caused the abnormal accumulation of cells on the embryonic dorsal brainstem which included aberrantly proliferating Zic1(+) precursor cells. These lesions persisted in all mutant adult mice; moreover, in 15% of cases in which Tp53 was concurrently deleted, they progressed to form medulloblastomas that recapitulated the anatomy and gene expression profiles of human WNT-subtype medulloblastoma. We provide the first evidence, to our knowledge, that subtypes of medulloblastoma have distinct cellular origins. Our data provide an explanation for the marked molecular and clinical differences between SHH- and WNT-subtype medulloblastomas and have profound implications for future research and treatment of this important childhood cancer.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059767/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3059767/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gibson, Paul -- Tong, Yiai -- Robinson, Giles -- Thompson, Margaret C -- Currle, D Spencer -- Eden, Christopher -- Kranenburg, Tanya A -- Hogg, Twala -- Poppleton, Helen -- Martin, Julie -- Finkelstein, David -- Pounds, Stanley -- Weiss, Aaron -- Patay, Zoltan -- Scoggins, Matthew -- Ogg, Robert -- Pei, Yanxin -- Yang, Zeng-Jie -- Brun, Sonja -- Lee, Youngsoo -- Zindy, Frederique -- Lindsey, Janet C -- Taketo, Makoto M -- Boop, Frederick A -- Sanford, Robert A -- Gajjar, Amar -- Clifford, Steven C -- Roussel, Martine F -- McKinnon, Peter J -- Gutmann, David H -- Ellison, David W -- Wechsler-Reya, Robert -- Gilbertson, Richard J -- 01CA96832/CA/NCI NIH HHS/ -- P01 CA096832/CA/NCI NIH HHS/ -- P01 CA096832-06A18120/CA/NCI NIH HHS/ -- P01 CA096832-078120/CA/NCI NIH HHS/ -- P30CA021765/CA/NCI NIH HHS/ -- R01 CA129541/CA/NCI NIH HHS/ -- R01 CA129541-01/CA/NCI NIH HHS/ -- R01 CA129541-02/CA/NCI NIH HHS/ -- R01 CA129541-03/CA/NCI NIH HHS/ -- R01 CA129541-04/CA/NCI NIH HHS/ -- R01 CA129541-05/CA/NCI NIH HHS/ -- R01 NS037956/NS/NINDS NIH HHS/ -- R01 NS037956-13/NS/NINDS NIH HHS/ -- R01CA129541/CA/NCI NIH HHS/ -- England -- Nature. 2010 Dec 23;468(7327):1095-9. doi: 10.1038/nature09587. Epub 2010 Dec 8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Developmental Neurobiology, St Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, Tennessee 38105, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21150899" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Brain Stem/*pathology ; Cerebellar Neoplasms/*pathology ; Disease Models, Animal ; Gene Expression Profiling ; Gene Expression Regulation, Neoplastic ; Humans ; Medulloblastoma/*pathology ; Mice ; Mice, Transgenic ; Mutation ; beta Catenin/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2012-01-13
    Description: Retinoblastoma is an aggressive childhood cancer of the developing retina that is initiated by the biallelic loss of RB1. Tumours progress very quickly following RB1 inactivation but the underlying mechanism is not known. Here we show that the retinoblastoma genome is stable, but that multiple cancer pathways can be epigenetically deregulated. To identify the mutations that cooperate with RB1 loss, we performed whole-genome sequencing of retinoblastomas. The overall mutational rate was very low; RB1 was the only known cancer gene mutated. We then evaluated the role of RB1 in genome stability and considered non-genetic mechanisms of cancer pathway deregulation. For example, the proto-oncogene SYK is upregulated in retinoblastoma and is required for tumour cell survival. Targeting SYK with a small-molecule inhibitor induced retinoblastoma tumour cell death in vitro and in vivo. Thus, retinoblastomas may develop quickly as a result of the epigenetic deregulation of key cancer pathways as a direct or indirect result of RB1 loss.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3289956/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3289956/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhang, Jinghui -- Benavente, Claudia A -- McEvoy, Justina -- Flores-Otero, Jacqueline -- Ding, Li -- Chen, Xiang -- Ulyanov, Anatoly -- Wu, Gang -- Wilson, Matthew -- Wang, Jianmin -- Brennan, Rachel -- Rusch, Michael -- Manning, Amity L -- Ma, Jing -- Easton, John -- Shurtleff, Sheila -- Mullighan, Charles -- Pounds, Stanley -- Mukatira, Suraj -- Gupta, Pankaj -- Neale, Geoff -- Zhao, David -- Lu, Charles -- Fulton, Robert S -- Fulton, Lucinda L -- Hong, Xin -- Dooling, David J -- Ochoa, Kerri -- Naeve, Clayton -- Dyson, Nicholas J -- Mardis, Elaine R -- Bahrami, Armita -- Ellison, David -- Wilson, Richard K -- Downing, James R -- Dyer, Michael A -- CA21765/CA/NCI NIH HHS/ -- CA64402/CA/NCI NIH HHS/ -- EY014867/EY/NEI NIH HHS/ -- EY018599/EY/NEI NIH HHS/ -- GM81607/GM/NIGMS NIH HHS/ -- R01 CA155202/CA/NCI NIH HHS/ -- R01 EY014867/EY/NEI NIH HHS/ -- R01 EY014867-02/EY/NEI NIH HHS/ -- R01 EY018599/EY/NEI NIH HHS/ -- R01 EY018599-03/EY/NEI NIH HHS/ -- Howard Hughes Medical Institute/ -- England -- Nature. 2012 Jan 11;481(7381):329-34. doi: 10.1038/nature10733.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Computational Biology and Bioinformatics, St Jude Children's Research Hospital, Memphis, Tennessee 38105, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22237022" target="_blank"〉PubMed〈/a〉
    Keywords: Aneuploidy ; Animals ; Cell Death/drug effects ; Cell Line ; Cell Survival/drug effects ; Chromosomal Instability/genetics ; Epigenesis, Genetic/*genetics ; Gene Expression Regulation, Neoplastic ; Genes, Retinoblastoma/genetics ; *Genomics ; Humans ; Intracellular Signaling Peptides and Proteins/antagonists & ; inhibitors/genetics/metabolism ; Mice ; *Molecular Targeted Therapy ; Mutation/genetics ; Protein Kinase Inhibitors/*pharmacology/therapeutic use ; Protein-Tyrosine Kinases/antagonists & inhibitors/genetics/metabolism ; Retinoblastoma/*drug therapy/*genetics/pathology ; Retinoblastoma Protein/deficiency/genetics ; Sequence Analysis, DNA ; Xenograft Model Antitumor Assays
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 6
    Publication Date: 2012-06-23
    Description: Medulloblastoma is a malignant childhood brain tumour comprising four discrete subgroups. Here, to identify mutations that drive medulloblastoma, we sequenced the entire genomes of 37 tumours and matched normal blood. One-hundred and thirty-six genes harbouring somatic mutations in this discovery set were sequenced in an additional 56 medulloblastomas. Recurrent mutations were detected in 41 genes not yet implicated in medulloblastoma; several target distinct components of the epigenetic machinery in different disease subgroups, such as regulators of H3K27 and H3K4 trimethylation in subgroups 3 and 4 (for example, KDM6A and ZMYM3), and CTNNB1-associated chromatin re-modellers in WNT-subgroup tumours (for example, SMARCA4 and CREBBP). Modelling of mutations in mouse lower rhombic lip progenitors that generate WNT-subgroup tumours identified genes that maintain this cell lineage (DDX3X), as well as mutated genes that initiate (CDH1) or cooperate (PIK3CA) in tumorigenesis. These data provide important new insights into the pathogenesis of medulloblastoma subgroups and highlight targets for therapeutic development.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412905/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3412905/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Robinson, Giles -- Parker, Matthew -- Kranenburg, Tanya A -- Lu, Charles -- Chen, Xiang -- Ding, Li -- Phoenix, Timothy N -- Hedlund, Erin -- Wei, Lei -- Zhu, Xiaoyan -- Chalhoub, Nader -- Baker, Suzanne J -- Huether, Robert -- Kriwacki, Richard -- Curley, Natasha -- Thiruvenkatam, Radhika -- Wang, Jianmin -- Wu, Gang -- Rusch, Michael -- Hong, Xin -- Becksfort, Jared -- Gupta, Pankaj -- Ma, Jing -- Easton, John -- Vadodaria, Bhavin -- Onar-Thomas, Arzu -- Lin, Tong -- Li, Shaoyi -- Pounds, Stanley -- Paugh, Steven -- Zhao, David -- Kawauchi, Daisuke -- Roussel, Martine F -- Finkelstein, David -- Ellison, David W -- Lau, Ching C -- Bouffet, Eric -- Hassall, Tim -- Gururangan, Sridharan -- Cohn, Richard -- Fulton, Robert S -- Fulton, Lucinda L -- Dooling, David J -- Ochoa, Kerri -- Gajjar, Amar -- Mardis, Elaine R -- Wilson, Richard K -- Downing, James R -- Zhang, Jinghui -- Gilbertson, Richard J -- P01 CA096832/CA/NCI NIH HHS/ -- P01CA96832/CA/NCI NIH HHS/ -- P30 CA021765/CA/NCI NIH HHS/ -- P30CA021765/CA/NCI NIH HHS/ -- R01 CA129541/CA/NCI NIH HHS/ -- R01CA129541/CA/NCI NIH HHS/ -- England -- Nature. 2012 Aug 2;488(7409):43-8. doi: 10.1038/nature11213.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉St Jude Children's Research Hospital, Washington University Pediatric Cancer Genome Project, Memphis, Tennessee 38105, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22722829" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; CREB-Binding Protein/genetics ; Cadherins/genetics ; Cdh1 Proteins ; Cell Cycle Proteins/deficiency/genetics ; Cell Lineage ; Cerebellar Neoplasms/*classification/*genetics/pathology ; Child ; DEAD-box RNA Helicases/genetics ; DNA Copy Number Variations ; DNA Helicases/genetics ; DNA Mutational Analysis ; Disease Models, Animal ; Genome, Human/genetics ; Genomics ; Hedgehog Proteins/metabolism ; Histone Demethylases/genetics ; Histones/metabolism ; Humans ; Medulloblastoma/*classification/*genetics/pathology ; Methylation ; Mice ; Mutation/*genetics ; Nuclear Proteins/genetics ; Phosphatidylinositol 3-Kinases/genetics ; Transcription Factors/genetics ; Wnt Proteins/metabolism ; beta Catenin/genetics
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 7
  • 8
    Publication Date: 2014-05-11
    Description: : Several outlier and subgroup identification statistics (OASIS) have been proposed to discover transcriptomic features with outliers or multiple modes in expression that are indicative of distinct biological processes or subgroups. Here, we borrow ideas from the OASIS methods in the bioinformatics and statistics literature to develop the ‘most informative spacing test’ (MIST) for unsupervised detection of such transcriptomic features. In an example application involving 14 cases of pediatric acute megakaryoblastic leukemia, MIST more robustly identified features that perfectly discriminate subjects according to gender or the presence of a prognostically relevant fusion-gene than did seven other OASIS methods in the analysis of RNA-seq exon expression, RNA-seq exon junction expression and micorarray exon expression data. MIST was also effective at identifying features related to gender or molecular subtype in an example application involving 157 adult cases of acute myeloid leukemia. Availability: MIST will be freely available in the OASIS R package at http://www.stjuderesearch.org/site/depts/biostats Contact: stanley.pounds@stjude.org Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 9
    Publication Date: 2013-08-13
    Description: Motivation: Tumors exhibit numerous genomic lesions such as copy number variations, structural variations and sequence variations. It is difficult to determine whether a specific constellation of lesions observed across a cohort of multiple tumors provides statistically significant evidence that the lesions target a set of genes that may be located across different chromosomes but yet are all involved in a single specific biological process or function. Results: We introduce the genomic random interval (GRIN) statistical model and analysis method that evaluates the statistical significance of the abundance of genomic lesions that overlap a specific locus or a pre-defined set of biologically related loci. The GRIN model retains certain biologically important properties of genomic lesions that are ignored by other methods. In a simulation study and two example analyses of leukemia genomic lesion data, GRIN more effectively identified important loci as significant than did three methods based on a permutation-of-markers model. GRIN also identified biologically relevant pathways with a significant abundance of lesions in both examples. Availability: An R package will be freely available at CRAN and www.stjuderesearch.org/site/depts/biostats/software . Contact: stanley.pounds@stjude.org Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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  • 10
    Publication Date: 2007-09-05
    Print ISSN: 0236-5731
    Electronic ISSN: 1588-2780
    Topics: Chemistry and Pharmacology , Energy, Environment Protection, Nuclear Power Engineering
    Published by Springer
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