The Plant Promoter Analysis Navigator (PlantPAN; http://PlantPAN.itps.ncku.edu.tw) provides an informative resource for detecting transcription factor binding sites (TFBSs), corresponding TFs, and other important regulatory elements (CpG islands and tandem repeats) in a promoter or a set of promoters in plants. The current PlantPAN release (version 3.0) contains 17,230 TFs and 4,703 matrices of TF binding sites among 78 plant species. For optimal use of this database, we recommend to use Google Chrome or Firefox browser and above at 1680 x 1050 resolution. Other resolution Notification: PlantPAN system will shut down on March 24th 15:00 - March 27th 10:00 2023 (GMT+8) due to scheduled maintenance. | |
★★★★★ PlantPAN 3.0 TF position weight matrix download is available. ★★★★★ |
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Citation: Chi-Nga Chow, Tzong-Yi Lee, Yu-Cheng Hung, Guan-Zhen Li, Kuan-Chieh Tseng, Ya-Hsin Liu, Po-Li Kuo, Han-Qin Zheng, and Wen-Chi Chang "PlantPAN3.0: a new and updated resource for reconstructing transcriptional regulatory networks from ChIP-seq experiments in plants" Nucleic Acids Res. 2019. |
Gene Search |
TF/TFBS Search |
Gene Group Analysis |
Promoter Analysis |
Cross Species |
ChIP-seq Search |
Download transcription factor position weight matrix
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External sources
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Annotation Database |
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International Tomato Genome Sequencing Project
(link: https://solgenomics.net/organism/Solanum_lycopersicum/genome)
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Resources of ChIP-seq datasets |
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Database of regulatory factors (transcription factor, histone, and other DNA-binding protein) and binding site |
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Images for Plants |
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Arabidopsis lyrata (link: WIKIMEDIA COMMONS)
Author: NPS / Jacob W. Frank, Denali National Park and Preserve |
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1. Identification of cis- and trans-elements of input gene. 2. Construction of gene regulatory networks by using coexpression analysis. 3. Visualization of experimental regulatory factor binding sites in JBrowse. |
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Gene Search |
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Access TF/TFBS information by ID, matrix, and keyword search (or browse by TF family and species). | ||
TF/TFBS Search |
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1. Determine co-occurrence TF and their binding sites within the promoters of input gene group. 2. Regulatory network construction of co-occurrence TFs based on protein-protein interaction. |
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Gene Group Analysis |
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TFBS scanning in the promoter sequence. | ||
Promoter Analysis |
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1. Identification of conserved TFBSs in promoters of similar genes or user-customized promoter pairs. 2. Construction of gene regulatory networks using homologous TFs. | ||
Cross Species |
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PCBase 1. Access ChIP-seq data by using Gene Search, Protein Search, Genome Browser. 2. TFBS scanning in the promoter sequence with matrices extracted from ChIP-seq peaks (Promoter Analysis). 3. Downloading peak-calling results (BED and FASTA formats). | ||
ChIP-seq Search |
Citation:
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✎ |
Chi-Nga Chow, Tzong-Yi Lee, Yu-Cheng Hung, Guan-Zhen Li, Kuan-Chieh Tseng, Ya-Hsin Liu, Po-Li Kuo, Han-Qin Zheng, and Wen-Chi Chang "PlantPAN3.0: a new and updated resource for reconstructing transcriptional regulatory networks from ChIP-seq experiments in plants" Nucleic Acids Res. 2019.
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✎ |
Chi-Nga Chow, Han-Qin Zheng, Nai-Yun Wu, Chia-Hung Chien, Hsien-Da Huang, Tzong-Yi Lee, Yi-Fan Chiang-Hsieh, Ping-Fu Hou, Tien-Yi Yang, and Wen-Chi Chang "PlantPAN 2.0: an update of plant promoter analysis navigator for reconstructing transcriptional regulatory networks in plants" Nucleic Acids Res. 2016 : 44(D1):D1154-60.
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✎ |
Chang, W.C., Lee, T.Y., Huang, H.D., Huang, H.Y. and Pan, R.L. (2008) PlantPAN: Plant promoter analysis navigator, for identifying combinatorial cis-regulatory elements with distance constraint in plant gene groups. BMC genomics, 9, 561.
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The overview of PlantPAN 3.0:
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Abstract:
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The Plant Promoter Analysis Navigator (PlantPAN; http://PlantPAN.itps.ncku.edu.tw/) is an effective resource for predicting important regulatory elements (transcription factors binding sites (TFBSs), CpG islands, Tandem repeats, and conserved regions) and transcription factors (TFs) in a promoter or a set of promoters in plants. In this release, 17,230 TFs were collected from 78 plant species. Since ChIP-seq became a powerful technique to explore the regulatory landscape in genome, genomic locations of TFBSs were captured from 662 public ChIP-seq samples by using uniformly data processing in this study. The 1,233,999 regulatory linkages were identified among target genes and 99 regulatory factors (TFs, histones, and other DNA-binding proteins) across seven species including A. thaliana, O. sativa, Z. mays, G. max, S. lycopersicum, G. hirsutum, and A. lyrata. Additionally, this new version increased 2,449 matrices extracted from ChIP-seq peaks for cis-regulatory element prediction. Besides integrated ChIP-seq data, four major improvements were provided for more comprehensive information of TF binding events. These enhancements included: (i) 1,107 experimentally verified TF matrices from literatures, (ii) visualization of protein sequence annotations (such as functional domains, secondary structures, post-translational modification, and variants, etc.), (iii) 3D structures of TFs and TF-DNA complexes, (iv) condition-specific co-expression networks of TFs and their target genes which were extended to four species. It is not only efficient to investigate critical cis- and trans-regulatory elements in plant promoters, but also reconstruct high-confidence relationships of TF-targets under a specific condition. Confidently, the PlantPAN 3.0 will be helpful for scientists to understand complicated transcriptional regulatory networks in plants.
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A comparison of PlantPAN 3.0 with previous version and the similar resources (ChIP-seq database):
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a: Each TF/matrices could be accessed from the database separately. However, the total number of TFs/matrices could not be calculated via the resource.
b: The number of data for plant species is shown without brackets, whereas the total number for plant and non-plant species is indicated within brackets. |
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A comparison of PlantPAN 3.0 with previous version and the similar resources (Cis-regulatory elements):
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The statistics of TFs and Matrices incorporated in nine resources and ChIP-seq dataset:
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