NetPipe : a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots

The regulatory mechanism of recombination is one of the most fundamental problems in genomics, with wide applications in genome wide association studies (GWAS), birth-defect diseases, molecular evolution, cancer research, etc. Recombination events cluster into short genomic regions called "reco...

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Main Authors: Wu, Min, Kwoh, Chee Keong, Zheng, Jie, Li, Xiaoli
Other Authors: School of Computer Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/98018
http://hdl.handle.net/10220/11911
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spelling sg-ntu-dr.10356-980182020-05-28T07:18:17Z NetPipe : a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots Wu, Min Kwoh, Chee Keong Zheng, Jie Li, Xiaoli School of Computer Engineering Conference on Bioinformatics, Computational Biology and Biomedicine (2012 : Orlando, USA) DRNTU::Engineering::Computer science and engineering The regulatory mechanism of recombination is one of the most fundamental problems in genomics, with wide applications in genome wide association studies (GWAS), birth-defect diseases, molecular evolution, cancer research, etc. Recombination events cluster into short genomic regions called "recombination hotspots" in mammalian genomes. Recently, a zinc finger protein PRDM9 was reported to regulate recombination hotspots in human and mouse genomes. In addition, a 13-mer motif contained in the binding sites of PRDM9 is also enriched in human hotspots. However, this 13-mer motif only covers a fraction of hotspots, indicating that PRDM9 is not the only regulator of recombination hotspots. Therefore, discovery of other regulators of recombination hotspots becomes a current challenge. Meanwhile, recombination is a complex process unlikely to be regulated by individual proteins. Rather, multiple proteins need to act in concert as a molecular machinery to carry out the process accurately and stably. As such, the extension of the prediction of individual proteins to protein complexes is also highly desired. In this paper, we propose a network-based pipeline named NetPipe to identify protein complexes associated with meiotic recombination hotspots. Previously, we associated proteins with recombination hotspots using the binding information between these proteins and hotspots. Here, we exploited protein-protein interaction (PPI) data to prioritize many more other proteins without such binding information. Furthermore, we detected protein complexes conserved between human and mouse that are associated with hotspots. Evaluation results show that the top genes ranked in PPI networks have significant relations to recombination related GO terms. In addition, individual genes in the multi-protein complexes detected by NetPipe are enriched with epigenetic functions, providing more insights into the epigenetic regulatory mechanisms of recombination hotspots. MOE (Min. of Education, S’pore) Accepted version 2013-07-22T02:25:55Z 2019-12-06T19:49:38Z 2013-07-22T02:25:55Z 2019-12-06T19:49:38Z 2012 2012 Conference Paper Wu, M., Kwoh, C. K., Zheng, J., & Li, X. (2012). NetPipe: a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots. Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine - BCB '12, 20-27. https://hdl.handle.net/10356/98018 http://hdl.handle.net/10220/11911 10.1145/2382936.2382939 en © 2012 ACM. This is the author created version of a work that has been peer reviewed and accepted for publication by Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine - BCB '12, ACM. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1145/2382936.2382939]. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Wu, Min
Kwoh, Chee Keong
Zheng, Jie
Li, Xiaoli
NetPipe : a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots
description The regulatory mechanism of recombination is one of the most fundamental problems in genomics, with wide applications in genome wide association studies (GWAS), birth-defect diseases, molecular evolution, cancer research, etc. Recombination events cluster into short genomic regions called "recombination hotspots" in mammalian genomes. Recently, a zinc finger protein PRDM9 was reported to regulate recombination hotspots in human and mouse genomes. In addition, a 13-mer motif contained in the binding sites of PRDM9 is also enriched in human hotspots. However, this 13-mer motif only covers a fraction of hotspots, indicating that PRDM9 is not the only regulator of recombination hotspots. Therefore, discovery of other regulators of recombination hotspots becomes a current challenge. Meanwhile, recombination is a complex process unlikely to be regulated by individual proteins. Rather, multiple proteins need to act in concert as a molecular machinery to carry out the process accurately and stably. As such, the extension of the prediction of individual proteins to protein complexes is also highly desired. In this paper, we propose a network-based pipeline named NetPipe to identify protein complexes associated with meiotic recombination hotspots. Previously, we associated proteins with recombination hotspots using the binding information between these proteins and hotspots. Here, we exploited protein-protein interaction (PPI) data to prioritize many more other proteins without such binding information. Furthermore, we detected protein complexes conserved between human and mouse that are associated with hotspots. Evaluation results show that the top genes ranked in PPI networks have significant relations to recombination related GO terms. In addition, individual genes in the multi-protein complexes detected by NetPipe are enriched with epigenetic functions, providing more insights into the epigenetic regulatory mechanisms of recombination hotspots.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Wu, Min
Kwoh, Chee Keong
Zheng, Jie
Li, Xiaoli
format Conference or Workshop Item
author Wu, Min
Kwoh, Chee Keong
Zheng, Jie
Li, Xiaoli
author_sort Wu, Min
title NetPipe : a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots
title_short NetPipe : a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots
title_full NetPipe : a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots
title_fullStr NetPipe : a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots
title_full_unstemmed NetPipe : a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots
title_sort netpipe : a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots
publishDate 2013
url https://hdl.handle.net/10356/98018
http://hdl.handle.net/10220/11911
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