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001-es BibID:BIBFORM082083
Első szerző:Czipa Erik (molekuláris biológus, bioinformatikus)
Cím:ChIPSummitDB : a ChIP-seq based database of human transcription factor binding sites and the topological arrangements of the proteins bound to them / Czipa Erik, Schiller Mátyás, Nagy Tibor, Kontra Levente, Steiner László, Koller Júlia, Pálné Szén Orsolya, Barta Endre
Megjegyzések:ChIP-Seq reveals genomic regions where proteins, e.g. transcription factors (TFs) interact with DNA. A substantial fraction of these regions, however, do not contain the cognate binding site for the TF of interest. This phenomenon might be explained by protein-protein interactions and co-precipitation of interacting gene regulatory elements. We uniformly processed 3,727 human ChIP-Seq data sets and determined the cistrome of 292 TFs, as well as the distances between the TF binding motif centers and the ChIP-Seq peak summits. ChIPSummitDB enables the analysis of ChIP-Seq data using multiple approaches. The 292 cistromes and corresponding ChIP-Seq peak sets can be browsed in GenomeView. Overlapping SNPs can be inspected in dbSNPView. Most importantly, the MotifView and PairShiftView pages show the average distance between motif centers and overlapping ChIP-Seq peak summits and distance distributions thereof, respectively. In addition to providing a comprehensive human TF binding site collection, the ChIPSummitDB database and web interface allows for the examination of the topological arrangement of TF complexes genome-wide. ChIPSummitDB is freely accessible at The database will be regularly updated and extended with the newly available human and mouse ChIP-Seq data sets.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
Transcription factor binding site
peak summit
Megjelenés:Database - The Journal of Biological Databases and Curation. - 2020 (2020), p. baz141. -
További szerzők:Schiller Mátyás Nagy Tibor (orvos) Kontra Levente Steiner László Koller Júlia Pálné Szén Orsolya Barta Endre (1963-) (biológus)
Pályázati támogatás:GINOP-2.3.2-15-2016-00044
Internet cím:Szerző által megadott URL
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001-es BibID:BIBFORM065115
Első szerző:Nagy Gergely (molekuláris biológus)
Cím:Motif oriented high-resolution analysis of ChIP-seq data reveals the topological order of CTCF and cohesin proteins on DNA / Gergely Nagy, Erik Czipa, László Steiner, Tibor Nagy, Sándor Pongor, László Nagy, Endre Barta
Megjegyzések:BACKGROUND:ChIP-seq provides a wealth of information on the approximate location of DNA-binding proteins genome-wide. It is known that the targeted motifs in most cases can be found at the peak centers. A high resolution mapping of ChIP-seq peaks could in principle allow the fine mapping of the protein constituents within protein complexes, but the current ChIP-seq analysis pipelines do not target the basepair resolution strand specific mapping of peak summits.RESULTS:The approach proposed here is based on i) locating regions that are bound by a sufficient number of proteins constituting a complex; ii) determining the position of the underlying motif using either a direct or a de novo motif search approach; and iii) determining the exact location of the peak summits with respect to the binding motif in a strand specific manner. We applied this method for analyzing the CTCF/cohesin complex, which holds together DNA loops. The relative positions of the constituents of the complex were determined with one-basepair estimated accuracy. Mapping the positions on a 3D model of DNA made it possible to deduce the approximate local topology of the complex that allowed us to predict how the CTCF/cohesin complex locks the DNA loops. As the positioning of the proteins was not compatible with previous models of loop closure, we proposed a plausible "double embrace" model in which the DNA loop is held together by two adjacent cohesin rings in such a way that the ring anchored by CTCF to one DNA duplex encircles the other DNA double helix and vice versa.CONCLUSIONS:A motif-centered, strand specific analysis of ChIP-seq data improves the accuracy of determining peak positions. If a genome contains a large number of binding sites for a given protein complex, such as transcription factor heterodimers or transcription factor/cofactor complexes, the relative position of the constituent proteins on the DNA can be established with an accuracy that allow one to deduce the local topology of the protein complex. The proposed high resolution mapping approach of ChIP-seq data is applicable for detecting the contact topology of DNA-binding protein complexes.
Tárgyszavak:Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
DNA loop
Megjelenés:BMC Genomics. - 17 : 637 (2016), p. 1-9. -
További szerzők:Czipa Erik (1990-) (molekuláris biológus, bioinformatikus) Steiner László Nagy Tibor (Gödöllő) Pongor Sándor Nagy László (1966-) (molekuláris sejtbiológus, biokémikus) Barta Endre (1963-) (biológus)
Pályázati támogatás:TÁMOP-4.2.2.C-11/1/KONV-2012-0010
Internet cím:Szerző által megadott URL
Intézményi repozitóriumban (DEA) tárolt változat
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