Wide-Scale Analysis of Human Functional Transcription Factor Binding Reveals a Strong Bias towards the Transcription Start Site
Yuval Tabach, Ran Brosh, Yossi Buganim, Anat Reiner, Or Zuk, Assif, Yitzhaky, Mark Koudritsky, Varda Rotter, Eytan Domany

TL;DR
This study introduces a new high-throughput method to identify functional transcription factor binding sites near the TSS in human and mouse promoters, revealing a strong bias towards the TSS and advancing understanding of transcriptional regulation.
Contribution
The paper presents a novel, location-sensitive, and conservation-based approach for reliably identifying functional TF binding sites in promoter regions.
Findings
Binding sites cluster close to the TSS.
Location-sensitive binding events are prevalent.
Conservation between human and mouse enhances site identification.
Abstract
We introduce a novel method to screen the promoters of a set of genes with shared biological function, against a precompiled library of motifs, and find those motifs which are statistically over-represented in the gene set. The gene sets were obtained from the functional Gene Ontology (GO) classification; for each set and motif we optimized the sequence similarity score threshold, independently for every location window (measured with respect to the TSS), taking into account the location dependent nucleotide heterogeneity along the promoters of the target genes. We performed a high throughput analysis, searching the promoters (from 200bp downstream to 1000bp upstream the TSS), of more than 8000 human and 23,000 mouse genes, for 134 functional Gene Ontology classes and for 412 known DNA motifs. When combined with binding site and location conservation between human and mouse, the method…
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