A model for sequential evolution of ligands by exponential enrichment (SELEX) data

Atherton, Juli; Boley, Nathan; Brown, Ben; Ogawa, Nobuo; Davidson, Stuart M.; Eisen, Michael B.; Biggin, Mark D. et Bickel, Peter (2012). « A model for sequential evolution of ligands by exponential enrichment (SELEX) data ». The Annals of Applied Statistics, 6(3), pp. 928-949.

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A Systematic Evolution of Ligands by EXponential enrichment (SELEX) experiment begins in round one with a random pool of oligonucleotides in equilibrium solution with a target. Over a few rounds, oligonucleotides having a high affinity for the target are selected. Data from a high throughput SELEX experiment consists of lists of thousands of oligonucleotides sampled after each round. Thus far, SELEX experiments have been very good at suggesting the highest affinity oligonucleotide, but modeling lower affinity recognition site variants has been difficult. Furthermore, an alignment step has always been used prior to analyzing SELEX data. We present a novel model, based on a biochemical parametrization of SELEX, which allows us to use data from all rounds to estimate the affinities of the oligonucleotides. Most notably, our model also aligns the oligonucleotides. We use our model to analyze a SELEX experiment containing double stranded DNA oligonucleotides and the transcription factor Bicoid as the target. Our SELEX model outperformed other published methods for predicting putative binding sites for Bicoid as indicated by the results of an in-vivo ChIP-chip experiment.

Type: Article de revue scientifique
Mots-clés ou Sujets: SELEX, transcription factor binding
Unité d'appartenance: Faculté des sciences > Département de mathématiques
Déposé par: Juli Atherton
Date de dépôt: 02 mai 2016 19:10
Dernière modification: 19 mai 2016 18:55
Adresse URL : http://archipel.uqam.ca/id/eprint/8396


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