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BeNeLux Bioinformatics Conference – Antwerp, December 7-8 <strong>2015</strong><br />

Abstract ID: P<br />

Poster<br />

10th Benelux Bioinformatics Conference <strong>bbc</strong> <strong>2015</strong><br />

P70. THE IMPACT OF HMGA PROTEINS ON REPLICATION ORIGINS<br />

DISTRIBUTION<br />

A. Zouaoui 1 , M. Kahli 2 , E. Besnard 3 , R. Desprat 1 , N. Kirsten 4 , P. Ben-sadoun 1 & J.M. Lemaitre 1 .<br />

Institute for Regenerative Medicine and Biotherapy, France 1 ; Institut de Biologie de l’École Normale Supérieure (ENS),<br />

France 2 ; The Gladstone Institutes, University of California San Francisco (UCSF), United States 3 ; Helmholtz Zentrum<br />

München, Research Unit Gene Vectors, Munich, Germany 4 .<br />

Proliferative cells can have an irreversible stop in the cell<br />

cycle that is called cellular senescence which can induct<br />

the development of cancer and ageing. Senescence is<br />

characterized by the development of Dense<br />

Heterochromatic Foci (SAHF) and the decline of the DNA<br />

replication. High-Mobility Group A proteins promote<br />

SAHF formation, a proliferative stop and stabilize<br />

senescence when overexpressed.<br />

In a cell, DNA replication is regulated on several<br />

genomics sites called replication origin (« Oris »). Prereplication<br />

proteic complex is required for DNA<br />

replication to occur. In the pre-replication complex, the<br />

ORC1 protein is involved in recognition of the origin of<br />

replication. DNA autoradiography of eukaryote cells<br />

allowed to find that human replication origins are<br />

bidirectional and spaced at 20-400kb intervals (Huberman<br />

and Riggs, 1968). At each origin, replication forks are<br />

formed and new short nascent strand are synthetized. A<br />

popular method to map replication origins is the<br />

purification of Short Nascent Strand (SNS). Several<br />

laboratories have identified up to 50 000 origins using<br />

microarray and sequencing techniques. Our laboratory has<br />

developed an origin mapping method divided in four cell<br />

type: IMR90, H9, iPSC and HeLa (Besnard et al., 2012).<br />

The Short Nascent Strand was isolated, sequenced and<br />

analyzed. 250 000 origin peaks have been identified with a<br />

peak detection tool named SoleSearch (Blahnik KR, Dou<br />

L, O’Geen H, et al. 2010).<br />

The objective is to find the most sensitive method to<br />

analyze the origin distribution in proliferative and<br />

senescent cells to observe if senescence has an impact on<br />

the origin distribution. The implication of HMGA proteins<br />

on the DNA replication is investigated. Two new methods<br />

are in development to analyze the replication origin with<br />

two more sensitive tools. In the first method, we search<br />

origin peaks with Macs2 tool (Zhang et al., 2008) which<br />

uses a new statistic and algorithm model. In a second time,<br />

origin enrichment is observed with Homer tool (Heinz S et<br />

al., 2010).<br />

Two methods are currently in development to identify the<br />

replication origin site by Illumina GaII sequencing of short<br />

nascent strand. Human SNS-seq reads of 36bp were<br />

mapped to human genome build GRCH38 with BWA tool<br />

(ref). Origin peaks were called by MACS2 and origin<br />

enrichment by Homer. To compare the two methods,<br />

active origins in HeLa cells were detected with each<br />

method. Correlation between ORC1 peaks and origins<br />

identified is calculated to choose the most sensitive<br />

method. The impact of pre-senecence is observed in<br />

comparing origins distribution observed in proliferative<br />

and senescent cells. Origins distribution is compared<br />

before and after induction of HMGA proteins to<br />

investigate the implication of these proteins on the DNA<br />

replication during senescence.<br />

REFERENCES<br />

Besnard et al. Best practices for mapping replication origins in<br />

eukaryotic chromosomes. Current Protoc Cell Biol. 2014 Sep 2;<br />

64:22.18.1-22.18.13<br />

Besnard et al. Unraveling cell type-specific and reprogrammable human<br />

replication origin signatures associated with G-quadruplex consensus<br />

motifs. Nat Struct Mol Biol. 2012 Aug; 19, 837-44<br />

Blahnik KR, Dou L, O’Geen H, et al. Sole-Search: an integrated analysis<br />

program for peak detection and functional annotation using ChIP-seq<br />

data. Nucleic Acids Res. 2010; 38:e13<br />

Fu H et al. Mapping replication origin sequences in eukaryotic<br />

chromosomes. Curr Protoc Cell Biol. 2014 Dec 1; 65:22.20.1-<br />

22.20.17<br />

Heinz S, Benner C, Spann N, Bertolino E et al. Simple Combinations of<br />

Lineage-Determining Transcription Factors Prime cis-Regulatory<br />

Elements Required for Macrophage and B Cell Identities. Mol Cell<br />

2010 May 28; 38, 576-589<br />

Hubberman JA et al. On the mechanism of DNA replication in<br />

mammalian chromosomes. J Mol Biol 1968 Mar 14; 32, 327-41<br />

Zhang et al. Model-based Analysis of ChIP-Seq (MACS). Genome Biol<br />

(2008) 9 pp. R13<br />

114

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