Please wait a minute...

中国生物工程杂志

China Biotechnology
China Biotechnology  2012, Vol. 32 Issue (09): 87-94    DOI:
    
The Co-occurrence of Transcription Factor Binding Sites
LI Jia-ping1, ZHANG Xian-wen1,2, CHEN Xin-bo 1,2
1. Crop Gene Engineering Key Laboratory of Hunan Province, Changsha 410128, China;
2. College of Bioscience and Biotechnology, Hunan Agricultural University, Changsha 410128, China
Download: HTML   PDF(495KB) HTML
Export: BibTeX | EndNote (RIS)      

Abstract  Transcription factor binding sites (TFBS) which bind the same or different transcription factors (TF) tend to co-occur in the promoter regions. TF and target gene was connected by these TFBS, which also provide the clue of TF synergy. The synergism of TF is an important part of the gene regulatory network (GRN). Identifying TFBS co-occurrence in the promoter region is an essential approach to construct GRN. The co-occurring TFBS in the promoter was called motif pair. The regulatory region that contains multiple TFBS was known as cis-regulatory modules (CRM). Accuracy of motif pair and CRM identification algorithm was improved by considering their conservation, specific location and distance, and the regulation of co-expressed genes. Great limitation still exists for constructing GRN by TFBS co-occurrence. Data integration of diverse sources will alleviate the problem in the future.

Key wordsTranscription factor binding site      Motif pair      Cis-regulatory modules      gene regulatory network     
Received: 30 December 2011      Published: 25 September 2012
ZTFLH:  Q7  
Cite this article:

LI Jia-ping, ZHANG Xian-wen, CHEN Xin-bo. The Co-occurrence of Transcription Factor Binding Sites. China Biotechnology, 2012, 32(09): 87-94.

URL:

https://manu60.magtech.com.cn/biotech/     OR     https://manu60.magtech.com.cn/biotech/Y2012/V32/I09/87

[1] Zhou Q, Wong W H. CisModule: de novo discovery of cis-regulatory modules by hierarchical mixture modeling. Proceedings of The National Academy of Sciences of The United States of America, 2004, 101(33):12114-12119.
[2] Lenhard B, Sandelin A, Mendoza L, et al. Identification of conserved regulatory elements by comparative genome analysis. Journal of Biology, 2003, 2(2):13-23.
[3] Yu X, Lin J, Zack D J, et al. Computational analysis of tissue-specific combinatorial gene regulation: predicting interaction between transcription factors in human tissues. Nucleic Acids Research, 2006, 34(17):4925-4936.
[4] Chawade A, Bräutigam M, Lindlöf A, et al. Putative cold acclimation pathways in Arabidopsis thaliana identified by a combined analysis of mRNA co-expression patterns, promoter motifs and transcription factors. BMC Genomics, 2007, 8:304.
[5] Hannenhalli S, Levy S. Predicting transcription factor synergism. Nucleic Acids Research, 2002, 30(19):4278-4284.
[6] Sosinsky A, Honig B, Mann R S, et al. Discovering transcriptional regulatory regions in Drosophila by a nonalignment method for phylogenetic footprinting. Proceedings of The National Academy of Sciences of The United States of America, 2007, 104(15):6305-6310.
[7] Vardhanabhuti S, Wang J, Hannenhalli S. Position and distance specificity are important determinants of cis-regulatory motifs in addition to evolutionary conservation. Nucleic Acids Research, 2007, 35(10):3203-3213.
[8] Janky R, van Helden J. Evaluation of phylogenetic footprint discovery for predicting bacterial cis-regulatory elements and revealing their evolution. BMC Bioinformatics, 2008, 9:37.
[9] Kellis M, Patterson N, Endrizzi M, et al. Sequencing and comparison of yeast species to identify genes and regulatory elements. Nature, 2003, 423(6937):241-254.
[10] Jin V X, Singer G A, Agosto-Pérez F J, et al. Genome-wide analysis of core promoter elements from conserved human and mouse orthologous pairs. BMC Bioinformatics, 2006, 7:114.
[11] Lu J, Luo L, Zhang Y. Distance conservation of transcription regulatory motifs in human promoters. Computational Biology And Chemistry, 2008, 32(6):433-437.
[12] Zhang Z, Gerstein M. Of mice and men: phylogenetic footprinting aids the discovery of regulatory elements. Journal of Biology, 2003, 2(2):11-14.
[13] Pape U J, Klein H, Vingron M. Statistical detection of cooperative transcription factors with similarity adjustment. Bioinformatics, 2009, 25(16):2103-2109.
[14] Sudarsanam P, Pilpel Y, Church G M. Genome-wide co-occurrence of promoter elements reveals a cis-regulatory cassette of rRNA transcription motifs in Saccharomyces cerevisiae. Genome Research, 2002, 12(11):1723-1731.
[15] Yu X, Lin J, Masuda T, et al. Genome-wide prediction and characterization of interactions between transcription factors in Saccharomyces cerevisiae. Nucleic Acids Research, 2006, 34(3):917-927.
[16] Yokoyama K D, Ohler U, Wray G A. Measuring spatial preferences at fine-scale resolution identifies known and novel cis-regulatory element candidates and functional motif-pair relationships. Nucleic Acids Research, 2009, 37(13):e92.
[17] Kulakovskiy I V, Belostotsky A A, Kasianov A S, et al. A deeper look into transcription regulatory code by preferred pair distance templates for transcription factor binding sites. Bioinformatics, 2011, 27(19):2621-2624.
[18] Tharakaraman K, Bodenreider O, Landsman D, et al. The biological function of some human transcription factor binding motifs varies with position relative to the transcription start site. Nucleic Acids Research, 2008, 36(8):2777-2786.
[19] Murakami K, Imanishi T, Gojobori T, et al. Two different classes of co-occurring motif pairs found by a novel visualization method in human promoter regions. BMC Genomics, 2008, 9:112.
[20] Berendzen K W, Stüber K, Harter K, et al. Cis-motifs upstream of the transcription and translation initiation sites are effectively revealed by their positional disequilibrium in eukaryote genomes using frequency distribution curves. BMC Bioinformatics, 2006, 7(1):522.
[21] Veerla S, Ringnér M, Höglund M. Genome-wide transcription factor binding site/promoter databases for the analysis of gene sets and co-occurrence of transcription factor binding motifs. BMC Genomics, 2010, 11:145.
[22] Gu Q, Nagaraj S H, Hudson N J, et al. Genome-wide patterns of promoter sharing and co-expression in bovine skeletal muscle. BMC Genomics, 2011, 12(1):23.
[23] Banerjee N, Zhang M Q. Identifying cooperativity among transcription factors controlling the cell cycle in yeast. Nucleic Acids Research, 2003, 31(23):7024-7031.
[24] Lindlöf A, Bräutigam M, Chawade A, et al. In silico analysis of promoter regions from cold-induced genes in rice (Oryza sativa L.) and Arabidopsis thaliana reveals the importance of combinatorial control. Bioinformatics, 2009, 25(11):1345-1348.
[25] Segal E, Shapira M, Regev A, et al. Module networks: identifying regulatory modules and their condition-specific regulators from gene expression data. Nature Genetics, 2003, 34(2):166-176.
[26] Kato M, Tsunoda T. MotifCombinator: a web-based tool to search for combinations of cis-regulatory motifs. BMC Bioinformatics, 2007, 8:100.
[27] Chang W C, Lee T Y, Huang H D, et al. PlantPAN: Plant promoter analysis navigator, for identifying combinatorial cis-regulatory elements with distance constraint in plant gene groups. BMC Genomics, 2008, 9(1):561.
[28] Suyama M, Harrington E D, Vinokourova S, et al. A network of conserved co-occurring motifs for the regulation of alternative splicing. Nucleic Acids Research, 2010, 38(22):7916-7926.
[29] Hu J, Hu H, Li X. MOPAT: a graph-based method to predict recurrent cis-regulatory modules from known motifs. Nucleic Acids Research, 2008, 36(13):4488-4497.
[30] Huen D S, Russell S. On the use of resampling tests for evaluating statistical significance of binding-site co-occurrence. BMC Bioinformatics, 2010, 11:359.
[31] Das M K, Dai H K. A survey of DNA motif finding algorithms. BMC Bioinformatics, 2007, 8(Suppl 7):S21.
[32] Hu Y, Sandmeyer S, McLaughlin C. Combinatorial motif analysis and hypothesis generation on a genomic scale. Bioinformatics, 2000, 16(3):222-232.
[33] GuhaThakurta D, Stormo G D. Identifying target sites for cooperatively binding factors. Bioinformatics, 2001, 17(7):608-621.
[34] Liu X, Brutlag D L, Liu J S. BioProspector: discovering conserved DNA motifs in upstream regulatory regions of co-expressed genes. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing, 2001,6:127-138.
[35] Thompson W, Rouchka E C, Lawrence C E. Gibbs Recursive Sampler: finding transcription factor binding sites. Nucleic Acids Research, 2003, 31(13):3580-3585.
[36] Das D, Banerjee N, Zhang M Q. Interacting models of cooperative gene regulation. Proceedings of The National Academy of Sciences of The United States of America, 2004, 101(46):16234-16239.
[37] Bi C, Rogan PK. Bipartite pattern discovery by entropy minimization-based multiple local alignment. Nucleic Acids Research, 2004, 32(17):4979-4991.
[38] Smith A D, Sumazin P, Das D, et al. Mining ChIP-chip data for transcription factor and cofactor binding sites. Bioinformatics, 2005, 21(Suppl 1):1403-1412.
[39] Monsieurs P, Thijs G, Fadda A A, et al. More robust detection of motifs in coexpressed genes by using phylogenetic information. BMC Bioinformatics, 2006, 7:160.
[40] Wang J, Hannenhalli S. A mammalian promoter model links cis elements to genetic networks. Biochemical And Biophysical Research Communications, 2006, 347(1):166-177.
[41] Jiang B, Zhang M Q, Zhang X. OSCAR: one-class SVM for accurate recognition of cis-elements. Bioinformatics, 2007, 23(21):2823-2828.
[42] Donaldson I J, Göttgens B. CoMoDis: composite motif discovery in mammalian genomes. Nucleic Acids Research, 2007, 35(1):e1.
[43] Gruel J, LeBorgne M, LeMeur N, et al. Simple Shared Motifs (SSM) in conserved region of promoters: a new approach to identify co-regulation patterns. BMC Bioinformatics, 2011, 12(1):365.
[44] Xu M, Weinberg C R, Umbach D M, et al. coMOTIF: A Mixture Framework for Identifying Transcription Factor and a Co-regulator Motif in ChIP-seq Data. Bioinformatics, 2011, 27(19):2625-2632.
[45] Su J, Teichmann S A, Down T A. Assessing computational methods of cis-regulatory module prediction. PLoS Computational Biology, 2010, 6(12):e1001020.
[46] Michelson A M. Deciphering genetic regulatory codes: a challenge for functional genomics. Proceedings of The National Academy of Sciences of The United States of America, 2002, 99(2):546-548.
[47] Krivan W, Wasserman W W. A predictive model for regulatory sequences directing liver-specific transcription. Genome Research, 2001, 11(9):1559-1566.
[48] Philippakis A A, He F S, Bulyk M L. Modulefinder: a tool for computational discovery of cis regulatory modules. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing, 2005, 10:519-530.
[49] Warner J B, Philippakis A A, Jaeger S A, et al. Systematic identification of mammalian regulatory motifs’ target genes and functions. Nature Methods, 2008, 5(4):347-353.
[50] He X, Ling X, Sinha S. Alignment and prediction of cis-regulatory modules based on a probabilistic model of evolution. PLoS Computational Biology, 2009, 5(3):e1000299.
[51] Ray P, Shringarpure S, Kolar M, et al. CSMET: comparative genomic motif detection via multi-resolution phylogenetic shadowing. PLoS Computational Biology, 2008, 4(6):e1000090.
[52] Balhoff J P, Wray G A. Evolutionary analysis of the well characterized endo16 promoter reveals substantial variation within functional sites. Proceedings of The National Academy of Sciences of The United States of America, 2005, 102(24):8591-8596.
[53] Ho M C W, Johnsen H, Goetz S E, et al. Functional evolution of cis-regulatory modules at a homeotic gene in Drosophila. PLoS Genetics, 2009, 5(11):e1000709.
[54] Williams T M, Selegue J E, Werner T, et al. The regulation and evolution of a genetic switch controlling sexually dimorphic traits in Drosophila. Cell, 2008, 134(4):610-623.
[55] Makeev V J, Lifanov A P, Nazina A G, et al. Distance preferences in the arrangement of binding motifs and hierarchical levels in organization of transcription regulatory information. Nucleic Acids Research, 2003, 31(20):6016-6026.
[56] Gupta M, Liu J S. De novo cis-regulatory module elicitation for eukaryotic genomes. Proceedings of The National Academy of Sciences of The United States of America, 2005, 102(20):7079-7084.
[57] Wasserman W W, Fickett J W. Identification of regulatory regions which confer muscle-specific gene expression. Journal of Molecular Biology, 1998, 278(1):167-181.
[58] Sharan R, Ovcharenko I, Ben-Hur A, et al. CREME: a framework for identifying cis-regulatory modules in human-mouse conserved segments. Bioinformatics, 2003, 19(Suppl 1):i283-i291.
[59] Sharan R, Ben-Hur A, Loots G G, et al. CREME: Cis-Regulatory Module Explorer for the human genome. Nucleic Acids Research, 2004, 32(Web Server issue):W253-W256.
[60] Liu R, Hannenhalli S, Bucan M. Motifs and cis-regulatory modules mediating the expression of genes co-expressed in presynaptic neurons. Genome Biology, 2009, 10(7):R72.
[61] Frith M C, Li M C, Weng Z. Cluster-Buster: Finding dense clusters of motifs in DNA sequences. Nucleic Acids Research, 2003, 31(13):3666-3668.
[62] Vandepoele K, Casneuf T, Van de Peer Y. Identification of novel regulatory modules in dicotyledonous plants using expression data and comparative genomics. Genome Biology, 2006, 7(11):R103.
[63] Sinha S, He X. MORPH: probabilistic alignment combined with hidden Markov models of cis-regulatory modules. PLoS Computational Biology, 2007, 3(11):e216.
[64] Van Loo P, Aerts S, Thienpont B, et al. ModuleMiner - improved computational detection of cis-regulatory modules: are there different modes of gene regulation in embryonic development and adult tissues. Genome Biology, 2008, 9(4):R66.
[65] Pilpel Y, Sudarsanam P, Church G M. Identifying regulatory networks by combinatorial analysis of promoter elements. Nature Genetics, 2001, 29(2):153-159.
[66] Vandepoele K, Quimbaya M, Casneuf T, et al. Unraveling transcriptional control in Arabidopsis using cis-regulatory elements and coexpression networks. Plant Physiology, 2009, 150(2):535-546.
[67] 李敏俐, 王薇, 陆祖宏. ChIP技术及其在基因组水平上分析DNA与蛋白质相互作用. 遗传, 2010, 32(3):219-228. Li M L, Wang W, Lu Z H. Genomic analysis of DNA-protein interaction by chromatin immunoprecipitation. Hereditas, 2010, 32(3):219-228.
[68] Boyle A P, Song L, Lee B K, et al. High-resolution genome-wide in vivo footprinting of diverse transcription factors in human cells. Genome Research, 2011, 21(3):456-464.
[1] CHEN Xin-jie,QIAN Zhi-lan,LIU Qi,ZHAO Qing,ZHANG Yuan-xing,CAI Meng-hao. Modification of Aromatic Amino Acid Synthetic Pathway in Pichia pastoris to Produce Cinnamic Acid and ρ-Coumaric Acid[J]. China Biotechnology, 2021, 41(10): 52-61.
[2] WANG Wei-dong,DU Jia-ru,ZHANG Yun-shang,FAN Jian-ming. The Application of CRISPR/Cas9 in the Treatment of Human Virus Infection-Related Diseases[J]. China Biotechnology, 2020, 40(12): 18-24.
[3] XU Ying-yong. Current Status and Challenges of Gene Therapy Products[J]. China Biotechnology, 2020, 40(12): 95-103.
[4] WANG Yue,MU Yan-shuang,LIU Zhong-hua. Progress of CRISPR/Cas Base Editing System[J]. China Biotechnology, 2020, 40(12): 58-66.
[5] LEI Hai-ying,ZHAO Qing-song,BAI Feng-lin,SONG Hui-fang,WANG Zhi-jun. Identification of Developing-related Gene ZmCen Using CRISPR/Cas9 in Maize[J]. China Biotechnology, 2020, 40(12): 49-57.
[6] XUE Rui,YAO Lin,WANG Rui,LUO Zheng-shan,XU Hong,LI Sha. Advances and Applications of Recombinant Mussel Foot Proteins[J]. China Biotechnology, 2020, 40(11): 82-89.
[7] CHEN Qing-yu,WANG Xian-zhong,ZHANG Jiao-jiao. Application of Gene Technology in the Treatment of Type 2 Diabetes Mellitus[J]. China Biotechnology, 2020, 40(11): 73-81.
[8] HE Xiu-juan,HU Feng-zhi,LIU Qiu-li,LIU Yu-ping,ZHU Ling,ZHENG Wen-yun. CRISPR / Cas9 Gene Editing of QSOX1 in Breast Cancer Cells and Its Effect on the Proliferation and Invasion[J]. China Biotechnology, 2020, 40(11): 1-9.
[9] LV Yi-fan,LI Geng-dong,XUE Nan,LV Guo-liang,SHI Shao-hui,WANG Chun-sheng. Prokaryotic Expression, Purification of LbCpf1 Protein Gene and in Vitro Cleavage Activity Assay[J]. China Biotechnology, 2020, 40(8): 41-48.
[10] HUANG Zhao-hong,HUANG Yun-hong,HUANG Yan-mei,LONG Zhong-er,SHAN Shan. Advances in Detection and Typing of Diarrheal Escherichia coli with PCR[J]. China Biotechnology, 2020, 40(7): 82-90.
[11] ZHANG Bao-hui,XIONG Hua-long,ZHANG Tian-ying,YUAN Quan. Research Progress on Vesicular Stomatitis Virus-based Oncolytic Virotherapy[J]. China Biotechnology, 2020, 40(6): 53-62.
[12] WU Rui-jun,LI Zhi-fei,ZHANG Xin,PU Run,AO Yi,SUN Yan-rong. Development and Prospect of Antibody Drugs for SARS-CoV-2[J]. China Biotechnology, 2020, 40(5): 1-6.
[13] WANG Tian-zhu,WU Qing,ZHANG Ning,WANG Dong-jie,XU Zhou,LUO Wei,DU Zong-jun. Advances in Research on Melanin Synthesis and Signaling Pathway in Fish[J]. China Biotechnology, 2020, 40(5): 84-93.
[14] LIU Di,ZHANG Hong-chun. Advances in Genetically Engineered Animal Models of Chronic Obstructive Pulmonary Disease[J]. China Biotechnology, 2020, 40(4): 59-68.
[15] GUO Sheng-nan, LI Xin-xiao, WANG Feng, LIU Kun-mei, DING Na, HU Qi-kuan, SUN Tao. Establishment and Identification of the Neocortex and Hippocampus GABRG2 Knockout Mice and Its Preliminary Study in Generalized Epilepsy with Febrile Seizures Plus[J]. China Biotechnology, 2020, 40(3): 9-20.