1 Supplemental Table 1 Sirna and Primer Sequences Used in This Study

Total Page:16

File Type:pdf, Size:1020Kb

1 Supplemental Table 1 Sirna and Primer Sequences Used in This Study Supplemental Table 1 siRNA and primer sequences used in this study. *Silent mutations are indicated by lower case letters. The top 4 are the siRNA sequences. Real time PCR primer sets for POLD4 were MS440 and MS441, and those for POLD1 were MS515 and MS516. MS 525-530 are for detection of CpG islands. The genomic DNA contents were determined by quantitative RT-PCR using primer sets for POLD4 (MS558 and MS559) and POLD1 (MS512-2 and MS513-2). For cloning of the POLD4, and for introducing silent mutations, MS543-2 and MS625, and MS543-2 and MS624 were used, respectively. The 36-mer primer was used for an in vitro DNA replication assay. 1 Supplemental Table 2 Correlation between arm instability and low POLD4 expression Copy number median Copy number median Cytoband Region in low POLD4 in high POLD4 expression group expression group 1p 1-124.2 NO NO 1q 124.2-245.5 NO NO 2p 1-93.4 NO NO 2q 93.4-243 NO NO 3p 1-91.7 NO NO 3q 91.7-199.5 NO NO 4p 1-50.9 NO NO 4q 50.9-191.4 NO NO 5p 1-47.7 amplification NO 5q 47.7-180.6 NO NO 6p 1-60.5 NO NO 6q 60.5-171.0 NO NO 7p 1-58.9 amplification NO 7q 58.9-158.6 NO NO 8p 1-45.2 deletion NO 8q 45.2-146.3 amplification NO 9p 1-50.6 NO NO 9q 50.6-138.4 deletion NO 10p 1-40.3 NO NO 10q 40.3-135.4 NO NO 11p 1-52.9 NO NO 11q 52.9-134.5 NO NO 12p 1-35.4 NO NO 12q 35.4-132.5 NO NO 13q 16.0-114.1 deletion NO 14q 15.6-106.4 amplification NO 15q 17.0-100.3 NO NO 16p 1-38.2 NO NO 16q 38.2-88.8 NO NO 17p 1-22.2 deletion deletion 2 17q 22.2-78.8 NO NO 18p 1-16.1 NO NO 18q 16.1-76.1 NO NO 19p 1-28.5 deletion deletion 19q 28.5-63.8 NO NO 20p 1-27.1 NO NO 20q 27.1-62.4 NO NO 21p 1-12.3 NO NO 21q 12.3-46.9 NO NO 22q 11.8-49.6 NO NO Xp 1-59.4 NO NO Xq 59.4-154.8 NO NO Seventy-four adenocarcinoma cases with gene expression (1) and copy number (2) information were used for the analysis. They were divided into two groups according to POLD4 expression level, with the threshold set at -1 SD of the average (14 and 60 cases). In each case, the median copy numbers of the chromosome arms are compared to the defined threshold (2), and presence or absence of instability is indicated. POLD4-specific amplifications and deletions are highlighted in yellow and light green, respectively. Note that RB1 and TP53 are located in chromosomes 13q and 17p, respectively. To study the correlation between POLD4 and HDAC expression levels, the 149 NSCLC patients (3) were divided into two groups according to POLD4 expression level, with the threshold set at -1 SD of the average. High and low HDAC2 expression levels were judged to determine the average. Fisher’s exact test was used to compare among the groups. 3 Supplemental figure legends Supplemental Figure 1. mRNA expression levels. A. Analysis of microarray data showing mRNA expression levels of the indicated genes. POLA1, catalytic subunit of pol α; ANAPC1, subunit of anaphase promoting complex; ATR, DNA damage checkpoint gene; CDT1 and CDC6, licensing proteins for DNA replication; RAD9A, located 50 kb adjacent to POLD4. B. Analysis of microarray data from GDS1688. Supplemental Figure 2. Hierarchical clustering of 149 NSCLCs, 9 SCLCs, and 5 mixtures of normal lung tissues for the 257 DNA genes involved in DNA metabolism. SCLC and normal lung clusters are indicated. POLD4 is located at the bottom of the list of genes. Supplemental Figure 3. The low level of POLD4 expression found was unlikely due to detection of splicing variants between the SCLC and control samples, as our probe and PCR primers were able to detect the 3’ UTR that was present regardless of the mRNA structure, and the GDS1688 microarray platform included multiple probes for quantification. Shown is an illustration of each detection site on POLD4 splicing variant structures (http://www.h-invitational.jp/). Colors for exons, introns, and UTRs are indicated, with annotation referenced from H-InvDB (JBIRC IDB, Tokyo, Japan). Agilent and Affymetrix, probe sites; Quantitative RT-PCR, PCR target site; WB, epitope site against the monoclonal antibody. Supplemental Figure 4. mRNA levels of POLD4 in a cell line panel. These levels were 4 correlated with the protein expression levels of POLD4 (Fig. 1C in main text). mRNA levels of POLD1 are also shown. Asterisk indicates p <0.05 (t-test). Supplemental Figure 5. A. After treating cells with 0, 1, or 2 μM of 5 aza-dC for 5 days, with the medium change in every 24 hours, total RNA was extracted and quantitative RT-PCR performed. The results were corrected by 18S expression values and are presented as relative to that without drugs, which was set at 1. Bars indicate SD. Asterisks indicate p values (**<0.01, t-test). On the right side, examples of the sequencing patterns in the promoter CpG site are shown. Genomic DNA from ACC-LC-76 was treated with Sodium bisulphate (MethylEasyTM Xceed Rapid DNA Bisulfite Modification Kit, Takara, Japan). The promoter region was amplified by PCR and sequenced using the following sets of primers; MS525 and MS528, MS526 and MS529, MS527 and MS530. An arrowhead indicates the target site. B. POLD4 has been reported to be rapidly degraded by DNA damage (4). Our recent findings of frequent double-stranded DNA breaks (DSB) in SCLC prompted us to measure the amounts POLD4 in the presence of 10 μM of MG132 (left panel), a proteasome inhibitor, as well as the indicated concentrations of caffeine (right panel), an ATM/ATR inhibitor, for 48 hours. Neither of those increased the level of POLD4 in the SCLC cell lines ACC-LC-48 and ACC-LC-172, while MG132 increased that of POLD4 in the NSCLC cell line A549. Supplemental Figure 6. Complementation of POLD4 in SK-LC-6 and ACC-LC-172 cells. A. Two days after retrovirus infection, POLD4 overexpressed cells were sorted by FACS SORP Aria 2 (BD) and used for experiments, with the results 5 shown in Figure 3. B. POLD4 overexpression clones (ACC-LC-172, D4 O/E1 and 2) and their control lines (VC-1, 2, mock) were treated with various concentrations of 4NQO for 48 hours. Live cells were quantitated using MTT assays. Supplemental Figure 7. Effects of POLD4 depletion on cell cycle progression and checkpoint activation. A. Effects of siD4 on DNA contents of randomly cultured cells in the presence or absence of nocodazole (400 ng/ml) for 24 hours. ACC-LC-139 and HCT116 cells were also treated with siRNA and analyzed for DNA contents. B. After treating Calu6 or PC-10 cells with siRNA for 48 hours, mitotic cells were quantified using an Alexa-Fluor 647-conjugated anti-H3-ps28 antibody and propidium iodide. C. After treating Calu6 with siRNA for 48 hours, the cells were analyzed for the expression levels of G1/S checkpoint proteins. Supplemental Figure 8. G1/S checkpoints. A. The knockdown efficiencies of p21 and p27 in Calu6 cells were determined by western blotting analysis. B. After Calu6 cells were treated with the indicated siRNAs for 48 hours, the cell cycle phase was analyzed using 7-amino-actinomycin D (7-AAD, upper panels) or 7-AAD, and an Alexa-Fluor488-conjugated anti-BrdU antibody. C. BrdU incorporation was quantified in each cell cycle phase, as indicated. Interestingly, knockdown of p21 did not abrogate siD4-induced G1 arrest in Calu6 cells. D. Western blotting analysis of p21 was carried out after Calu6 cells were treated with siRNA. The right lanes show Calu6 and A549 cells, which were subjected to 5 Gy of irradiation, then cultured for an additional 6 hours and harvested. In this cell line, the expression level of p21 was intrinsically low and not induced by X-ray irradiation, due to the homozygous deletion of TP53. 6 Therefore, only p27 was employed for G1 arrest. In contrast, p21 may promote the cell cycle in Calu6 cells by enabling assembly of the active kinase complexes of cyclin D with CDK4 and CDK6 (5, 6). E. Western blotting analysis of Calu6 cells to monitor the effect of siDNAPK. F. DNA content was measured after the cells were treated with siDNAPK for 48 hours. Supplemental Figure 9. Total numbers of gaps and breaks. Chromosomal gaps and breaks were quantitated by counting 100 mitotic cells. The total numbers of gaps/breaks were plotted for mock, vector control (VC), and mD4-overexpressed HCT116 cells (pold4). Stable VC and mD4 clones were mixtures of 7 independent clones. Asterisks indicate p values (*<0.05 and **<0.01, Fisher’s exact test). 7 Supplemental references 1. Ding L, Getz G, Wheeler DA, et al. Somatic mutations affect key pathways in lung adenocarcinoma. Nature 2008; 455: 1069-75. 2. Weir BA, Woo MS, Getz G, et al. Characterizing the cancer genome in lung adenocarcinoma. Nature 2007; 450: 893-8. 3. Takeuchi T, Tomida S, Yatabe Y, et al. Expression profile-defined classification of lung adenocarcinoma shows close relationship with underlying major genetic changes and clinicopathologic behaviors.
Recommended publications
  • DNA Polymerases at the Eukaryotic Replication Fork Thirty Years After: Connection to Cancer
    cancers Review DNA Polymerases at the Eukaryotic Replication Fork Thirty Years after: Connection to Cancer Youri I. Pavlov 1,2,* , Anna S. Zhuk 3 and Elena I. Stepchenkova 2,4 1 Eppley Institute for Research in Cancer and Allied Diseases and Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68198, USA 2 Department of Genetics and Biotechnology, Saint-Petersburg State University, 199034 Saint Petersburg, Russia; [email protected] 3 International Laboratory of Computer Technologies, ITMO University, 197101 Saint Petersburg, Russia; [email protected] 4 Laboratory of Mutagenesis and Genetic Toxicology, Vavilov Institute of General Genetics, Saint-Petersburg Branch, Russian Academy of Sciences, 199034 Saint Petersburg, Russia * Correspondence: [email protected] Received: 30 September 2020; Accepted: 13 November 2020; Published: 24 November 2020 Simple Summary: The etiology of cancer is linked to the occurrence of mutations during the reduplication of genetic material. Mutations leading to low replication fidelity are the culprits of many hereditary and sporadic cancers. The archetype of the current model of replication fork was proposed 30 years ago. In the sequel to our 2010 review with the words “years after” in the title inspired by A. Dumas’s novels, we go over new developments in the DNA replication field and analyze how they help elucidate the effects of the genetic variants of DNA polymerases on cancer. Abstract: Recent studies on tumor genomes revealed that mutations in genes of replicative DNA polymerases cause a predisposition for cancer by increasing genome instability. The past 10 years have uncovered exciting details about the structure and function of replicative DNA polymerases and the replication fork organization.
    [Show full text]
  • TERRA Transcription Destabilizes Telomere Integrity to Initiate Break
    ARTICLE https://doi.org/10.1038/s41467-021-24097-6 OPEN TERRA transcription destabilizes telomere integrity to initiate break-induced replication in human ALT cells ✉ Bruno Silva 1,4, Rajika Arora 1,3,4, Silvia Bione 2 & Claus M. Azzalin 1 Alternative Lengthening of Telomeres (ALT) is a Break-Induced Replication (BIR)-based mechanism elongating telomeres in a subset of human cancer cells. While the notion that 1234567890():,; spontaneous DNA damage at telomeres is required to initiate ALT, the molecular triggers of this physiological telomere instability are largely unknown. We previously proposed that the telomeric long noncoding RNA TERRA may represent one such trigger; however, given the lack of tools to suppress TERRA transcription in cells, our hypothesis remained speculative. We have developed Transcription Activator-Like Effectors able to rapidly inhibit TERRA transcription from multiple chromosome ends in an ALT cell line. TERRA transcription inhi- bition decreases marks of DNA replication stress and DNA damage at telomeres and impairs ALT activity and telomere length maintenance. We conclude that TERRA transcription actively destabilizes telomere integrity in ALT cells, thereby triggering BIR and promoting telomere elongation. Our data point to TERRA transcription manipulation as a potentially useful target for therapy. 1 Instituto de Medicina Molecular João Lobo Antunes (iMM), Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal. 2 Computational Biology Unit, Institute of Molecular Genetics Luigi Luca Cavalli-Sforza,
    [Show full text]
  • Multifunctionality of the Telomere-Capping Shelterin Complex Explained by Variations in Its Protein Composition
    cells Review Multifunctionality of the Telomere-Capping Shelterin Complex Explained by Variations in Its Protein Composition Claire Ghilain 1, Eric Gilson 1,2,3,* and Marie-Josèphe Giraud-Panis 1,* 1 Université Côte d’Azur, CNRS, INSERM, IRCAN, 06000 Nice, France; [email protected] 2 International Research Laboratory for Cancer, Aging and Hematology, Shanghai Ruijin Hospital, Shanghai Jiaotong University and Côte-d’Azur University, Shanghai 200025, China 3 Department of Genetics, CHU Nice, 06000 Nice, France * Correspondence: [email protected] (E.G.); [email protected] (M.-J.G.-P.) Abstract: Protecting telomere from the DNA damage response is essential to avoid the entry into cellular senescence and organismal aging. The progressive telomere DNA shortening in dividing somatic cells, programmed during development, leads to critically short telomeres that trigger replicative senescence and thereby contribute to aging. In several organisms, including mammals, telomeres are protected by a protein complex named Shelterin that counteract at various levels the DNA damage response at chromosome ends through the specific function of each of its subunits. The changes in Shelterin structure and function during development and aging is thus an intense area of research. Here, we review our knowledge on the existence of several Shelterin subcomplexes and the functional independence between them. This leads us to discuss the possibility that the multifunctionality of the Shelterin complex is determined by the formation of different subcomplexes Citation: Ghilain, C.; Gilson, E.; whose composition may change during aging. Giraud-Panis, M.-J. Multifunctionality of the Keywords: telomere; aging; Shelterin; senescence; DNA damage response Telomere-Capping Shelterin Complex Explained by Variations in Its Protein Composition.
    [Show full text]
  • Cshperspect-REP-A015727 Table3 1..10
    Table 3. Nomenclature for proteins and protein complexes in different organisms Mammals Budding yeast Fission yeast Flies Plants Archaea Bacteria Prereplication complex assembly H. sapiens S. cerevisiae S. pombe D. melanogaster A. thaliana S. solfataricus E. coli Hs Sc Sp Dm At Sso Eco ORC ORC ORC ORC ORC [Orc1/Cdc6]-1, 2, 3 DnaA Orc1/p97 Orc1/p104 Orc1/Orp1/p81 Orc1/p103 Orc1a, Orc1b Orc2/p82 Orc2/p71 Orc2/Orp2/p61 Orc2/p69 Orc2 Orc3/p66 Orc3/p72 Orc3/Orp3/p80 Orc3/Lat/p82 Orc3 Orc4/p50 Orc4/p61 Orc4/Orp4/p109 Orc4/p52 Orc4 Orc5L/p50 Orc5/p55 Orc5/Orp5/p52 Orc5/p52 Orc5 Orc6/p28 Orc6/p50 Orc6/Orp6/p31 Orc6/p29 Orc6 Cdc6 Cdc6 Cdc18 Cdc6 Cdc6a, Cdc6b [Orc1/Cdc6]-1, 2, 3 DnaC Cdt1/Rlf-B Tah11/Sid2/Cdt1 Cdt1 Dup/Cdt1 Cdt1a, Cdt1b Whip g MCM helicase MCM helicase MCM helicase MCM helicase MCM helicase Mcm DnaB Mcm2 Mcm2 Mcm2/Nda1/Cdc19 Mcm2 Mcm2 Mcm3 Mcm3 Mcm3 Mcm3 Mcm3 Mcm4 Mcm4/Cdc54 Mcm4/Cdc21 Mcm4/Dpa Mcm4 Mcm5 Mcm5/Cdc46/Bob1 Mcm5/Nda4 Mcm5 Mcm5 Mcm6 Mcm6 Mcm6/Mis5 Mcm6 Mcm6 Mcm7 Mcm7/Cdc47 Mcm7 Mcm7 Mcm7/Prolifera Gmnn/Geminin Geminin Mcm9 Mcm9 Hbo1 Chm/Hat1 Ham1 Ham2 DiaA Ihfa Ihfb Fis SeqA Replication fork assembly Hs Sc Sp Dm At Sso Eco Mcm8 Rec/Mcm8 Mcm8 Mcm10 Mcm10/Dna43 Mcm10/Cdc23 Mcm10 Mcm10 DDK complex DDK complex DDK complex DDK complex Cdc7 Cdc7 Hsk1 l(1)G0148 Hsk1-like 1 Dbf4/Ask Dbf4 Dfp1/Him1/Rad35 Chif/chiffon Drf1 Continued 2 Replication fork assembly (Continued ) Hs Sc Sp Dm At Sso Eco CDK complex CDK complex CDK complex CDK complex CDK complex Cdk1 Cdc28/Cdk1 Cdc2/Cdk1 Cdc2 CdkA Cdk2 Cdc2c CcnA1, A2 CycA CycA1, A2,
    [Show full text]
  • Polymerase Δ Promotes Chromosomal Rearrangements and Imprecise Double-Strand Break Repair
    Polymerase δ promotes chromosomal rearrangements and imprecise double-strand break repair Jacob V. Layera, Lydie Debaizea, Alexandria Van Scoyka, Nealia C. Houseb, Alexander J. Brownc, Yunpeng Liud, Kristen E. Stevensone, Michael Hemannd, Steven A. Robertsc, Brendan D. Priceb, David M. Weinstocka,f,g,1, and Tovah A. Dayh,1 aDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215; bDepartment of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA 02215; cSchool of Molecular Biosciences, Washington State University, Pullman, WA 99164; dThe Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, Cambridge, MA 02139; eDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215; fCancer Biology Program, Broad Institute of MIT and Harvard University, Cambridge, MA 02142; gBiological and Biomedical Sciences Program, Harvard Medical School, Boston, MA 02215; and hDepartment of Biology, Northeastern University, Boston, MA 02115 Edited by James E. Haber, Brandeis University, Waltham, MA, and approved September 9, 2020 (received for review July 10, 2020) Recent studies have implicated DNA polymerases θ (Pol θ) and β and λ, can also be recruited for end-resection and gap-filling (9, (Pol β) as mediators of alternative nonhomologous end-joining 10). The XRCC4/LIGIV complex is recruited and ligates both (Alt-NHEJ) events, including chromosomal translocations. Here strands (11). we identify subunits of the replicative DNA polymerase δ (Pol δ) The third type of repair, alternative NHEJ (Alt-NHEJ), is as promoters of Alt-NHEJ that results in more extensive intrachro- often described as a back-up end-joining process, as it resolves a mosomal mutations at a single double-strand break (DSB) and greater fraction of DSBs when C-NHEJ is compromised (12).
    [Show full text]
  • The Replisome Guides Nucleosome Assembly During DNA Replication Wenshuo Zhang, Jianxun Feng and Qing Li*
    Zhang et al. Cell Biosci (2020) 10:37 https://doi.org/10.1186/s13578-020-00398-z Cell & Bioscience REVIEW Open Access The replisome guides nucleosome assembly during DNA replication Wenshuo Zhang, Jianxun Feng and Qing Li* Abstract Nucleosome assembly during DNA replication is tightly coupled to ongoing DNA synthesis. This process, termed DNA replication-coupled (RC) nucleosome assembly, is essential for chromatin replication and has a great impact on both genome stability maintenance and epigenetic inheritance. This review discusses a set of recent fndings regarding the role of replisome components contributing to RC nucleosome assembly. Starting with a brief introduction to the fac- tors involved in nucleosome assembly and some aspects of the architecture of the eukaryotic replisome, we discuss studies from yeast to mammalian cells and the interactions of replisome components with histones and histone chaperones. We describe the proposed functions of replisome components during RC nucleosome assembly and discuss their impacts on histone segregation and implications for epigenetic inheritance. Keywords: Replisome component, Nucleosome assembly, Chromatin replication, Histone chaperone Background state. Tis process, called DNA replication-coupled (RC) A brief introduction to DNA replication‑coupled (RC) nucleosome assembly, is an essential step for chromatin nucleosome assembly replication [2, 4, 6]. Eukaryotic DNA replication occurs in the context of Nucleosome assembly during DNA replication occurs the chromatin environment [1]. Chromatin, the carrier in a stepwise fashion. Early studies using a chemical of genetic and epigenetic information and guardian of cross-linking technique combined with radioisotope genome stability, must be duplicated in daughter cells labeling methods demonstrated that parental histone to ensure continuity between generations.
    [Show full text]
  • Roles of Human POLD1 and POLD3 in Genome Stability Emanuela Tumini, Sonia Barroso, Carmen Pérez-Calero & Andrés Aguilera
    www.nature.com/scientificreports OPEN Roles of human POLD1 and POLD3 in genome stability Emanuela Tumini, Sonia Barroso, Carmen Pérez-Calero & Andrés Aguilera DNA replication is essential for cellular proliferation. If improperly controlled it can constitute a major Received: 11 July 2016 source of genome instability, frequently associated with cancer and aging. POLD1 is the catalytic Accepted: 16 November 2016 subunit and POLD3 is an accessory subunit of the replicative Pol δ polymerase, which also functions in Published: 15 December 2016 DNA repair, as well as the translesion synthesis polymerase Pol ζ, whose catalytic subunit is REV3L. In cells depleted of POLD1 or POLD3 we found a differential but general increase in genome instability as manifested by DNA breaks, S-phase progression impairment and chromosome abnormalities. Importantly, we showed that both proteins are needed to maintain the proper amount of active replication origins and that POLD3-depletion causes anaphase bridges accumulation. In addition, POLD3-associated DNA damage showed to be dependent on RNA-DNA hybrids pointing toward an additional and specific role of this subunit in genome stability. Interestingly, a similar increase in RNA-DNA hybrids-dependent genome instability was observed in REV3L-depleted cells. Our findings demonstrate a key role of POLD1 and POLD3 in genome stability and S-phase progression revealing RNA-DNA hybrids-dependent effects for POLD3 that might be partly due to its Polζ interaction. DNA replication is an essential process in which DNA is duplicated and passed on to daughter cells, allowing the transmission of genetic information. To safeguard its integrity, cells have developed sophisticated mechanisms that constitute the DNA damage response (DDR) pathway.
    [Show full text]
  • Telomere Maintenance Pathway Activity Analysis Enables Tissue- and Gene-Level Inferences
    bioRxiv preprint doi: https://doi.org/10.1101/2021.02.01.429081; this version posted February 2, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Telomere maintenance pathway activity analysis enables tissue- and gene-level inferences Lilit Nersisyan1,2*, Arman Simonyan1, Hans Binder3, Arsen Arakelyan1,2 1 Bioinformatics Group, Institute of Molecular Biology, National Academy of Sciences, Yerevan, Armenia 2 Pathverse, LLC, Yerevan, Armenia 3 Interdisciplinary Center for Bioinformatics, University of Leipzig, Leipzig, Germany * Correspondence: Lilit Nersisyan Keywords: telomere maintenance mechanisms, telomerase, alternative lengthening of telomeres, pathway signal flow, testis ABSTRACT Telomere maintenance is one of the mechanisms ensuring indefinite divisions of cancer and stem cells. Good understanding of telomere maintenance mechanisms (TMM) is important for studying cancers and designing therapies. However, molecular factors triggering selective activation of either the telomerase dependent (TEL) or the alternative lengthening of telomeres (ALT) pathway are poorly understood. In addition, more accurate and easy-to-use methodologies are required for TMM phenotyping. In this study, we have performed literature based reconstruction of signaling pathways for the ALT and TEL TMMs. Gene expression data were used for computational assessment of TMM pathway activities and compared with experimental assays for TEL and ALT. Explicit consideration of pathway topology makes bioinformatics analysis more informative compared to computational methods based on simple summary measures of gene expression. Application to healthy human tissues showed high ALT and TEL pathway activities in testis, and identified genes and pathways that may trigger TMM activation.
    [Show full text]
  • Ligase 1 Is a Predictor of Platinum Resistance and Its Blockade Is Synthetically Lethal In
    Ligase 1 is a predictor of platinum resistance and its blockade is synthetically lethal in XRCC1 deficient epithelial ovarian cancers Reem Ali1*, Muslim Alabdullah1,2*, Mashael Algethami1**, Adel Alblihy1,3**, Islam Miligy2, Ahmed Shoqafi1, Katia A. Mesquita1, Tarek Abdel-Fatah4, Stephen YT Chan4, Pei Wen Chiang5, Nigel P Mongan6,7, Emad A Rakha2, Alan E Tomkinson8, Srinivasan Madhusudan1,3*** 1 Nottingham Biodiscovery Institute, School of Medicine, University of Nottingham, University Park, Nottingham NG7 3RD, UK. 2 Department of Pathology, Division of Cancer and Stem Cells, School of Medicine, University of Nottingham, Nottingham NG51PB, UK. 3 Medical Center, King Fahad Security College (KFSC), Riyadh 11461, Saudi Arabia. 4 Department of Oncology, Nottingham University Hospitals, City Hospital Campus, Nottingham NG5 1PB, UK. 5 Department of Obstetrics & Gynaecology, Queens Medical Centre, Nottingham University Hospitals, Nottingham NG7 2UH, UK. 6 Faculty of Medicine and Health Sciences, Centre for Cancer Sciences, University of Nottingham, Sutton Bonington Campus, Sutton Bonington, Leicestershire LE12 5RD, UK 7 Department of Pharmacology, Weill Cornell Medicine, New York, NY, 10065, USA 8 Department of Internal Medicine, Division of Molecular Medicine, Health Sciences Center, The University of New Mexico, Albuquerque, NM 87102, USA. * = Joint first authors, ** = Joint second authors Running title: LIG1 targeting in ovarian cancers Declarations of interest: none Word count: 3459 Figure: 5 Table:1 *** Corresponding author: Professor Srinivasan
    [Show full text]
  • A Meta-Learning Approach for Genomic Survival Analysis
    bioRxiv preprint doi: https://doi.org/10.1101/2020.04.21.053918; this version posted April 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. A meta-learning approach for genomic survival analysis Yeping Lina Qiu1;2, Hong Zheng2, Arnout Devos3, Olivier Gevaert2;4;∗ 1Department of Electrical Engineering, Stanford University 2Stanford Center for Biomedical Informatics Research, Department of Medicine, Stanford University 3School of Computer and Communication Sciences, Swiss Federal Institute of Technology Lausanne (EPFL) 4Department of Biomedical Data Science, Stanford University ∗To whom correspondence should be addressed: [email protected] Abstract RNA sequencing has emerged as a promising approach in cancer prognosis as sequencing data becomes more easily and affordably accessible. However, it remains challenging to build good predictive models especially when the sample size is limited and the number of features is high, which is a common situation in biomedical settings. To address these limitations, we propose a meta-learning framework based on neural networks for survival analysis and evaluate it in a genomic cancer research setting. We demonstrate that, compared to regular transfer- learning, meta-learning is a significantly more effective paradigm to leverage high-dimensional data that is relevant but not directly related to the problem of interest. Specifically, meta-learning explicitly constructs a model, from abundant data of relevant tasks, to learn a new task with few samples effectively. For the application of predicting cancer survival outcome, we also show that the meta- learning framework with a few samples is able to achieve competitive performance with learning from scratch with a significantly larger number of samples.
    [Show full text]
  • Regulation of DNA Polymerase POLD4 Influences Genomic Instability in Lung Cancer
    Published OnlineFirst September 22, 2010; DOI: 10.1158/0008-5472.CAN-10-0784 Molecular and Cellular Pathobiology Cancer Research Regulation of DNA Polymerase POLD4 Influences Genomic Instability in Lung Cancer Qin Miao Huang1, Shuta Tomida1, Yuji Masuda5, Chinatsu Arima1, Ke Cao1, Taka-aki Kasahara1, Hirotaka Osada3, Yasushi Yatabe4, Tomohiro Akashi2, Kenji Kamiya5, Takashi Takahashi1, and Motoshi Suzuki1 Abstract Genomic instability is an important factor in cancer susceptibility, but a mechanistic understanding of how it arises remains unclear. We examined hypothesized contributions of the replicative DNA polymerase δ (pol δ) subunit POLD4 to the generation of genomic instability in lung cancer. In examinations of 158 lung cancers and 5 mixtures of 10 normal lungs, cell cycle- and checkpoint-related genes generally showed mRNA expression increases in cancer, whereas POLD4 showed reduced mRNA in small cell lung cancer (SCLC). A fraction of non–small cell lung cancer patients also showed low expression comparable with that in SCLC, which was associated with poor prognosis. The lung cancer cell line ACC-LC-48 was found to have low POLD4 expression, with higher histone H3K9 methylation and lower acetylation in the POLD4 promoter, as compared with the A549 cell line with high POLD4 expression. In the absence of POLD4, pol δ exhibited impaired in vitro DNA synthesis activity. Augmenting POLD4 expression in cells where it was attenuated altered the sensitivity to the chemical carcinogen 4-nitroquinoline-1-oxide. Conversely, siRNA-mediated reduction of POLD4 in cells with abundant expression resulted in a cell cycle delay, checkpoint activation, and an elevated frequency of chromosomal gap/break formation.
    [Show full text]
  • Functional Interaction Between the DNA Damage Tolerance Pathway and the DNA Damage Checkpoint : Implications for Genome Stability and Oncogenesis Chames Kermi
    Functional interaction between the DNA damage tolerance pathway and the DNA damage checkpoint : implications for genome stability and oncogenesis Chames Kermi To cite this version: Chames Kermi. Functional interaction between the DNA damage tolerance pathway and the DNA damage checkpoint : implications for genome stability and oncogenesis. Biochemistry, Molecular Bi- ology. Université Montpellier, 2016. English. NNT : 2016MONT3520. tel-01633798 HAL Id: tel-01633798 https://tel.archives-ouvertes.fr/tel-01633798 Submitted on 13 Nov 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Délivré par l’Université de Montpellier Préparée au sein de l’école doctorale Sciences Chimiques et Biologiques pour la Santé Et de l’unité de recherche Institut de Génétique Humaine UPR1142 Spécialité : Biochimie et biologie moléculaire Présentée par M. Chames KERMI Interactions fonctionnelles entre le système de tolérance des lésions et le checkpoint des dommages à l'ADN : Conséquences sur la stabilité du génome et l'oncogenèse Soutenue le 14 Décembre 2016 devant le jury composé de Pr. Barbara Van Loon , PU, Norwegian University of Rapporteur Science and Technology, Trondheim Dr. Jacek Kubiak , DR2, CNRS, Institut de génétique Rapporteur et développement de Rennes Dr.
    [Show full text]