Literature DB >> 27357687

Mapping transcription factor interactome networks using HaloTag protein arrays.

Junshi Yazaki1, Mary Galli2, Alice Y Kim2, Kazumasa Nito3, Fernando Aleman4, Katherine N Chang3, Anne-Ruxandra Carvunis5, Rosa Quan2, Hien Nguyen2, Liang Song3, José M Alvarez6, Shao-Shan Carol Huang3, Huaming Chen2, Niroshan Ramachandran7, Stefan Altmann8, Rodrigo A Gutiérrez6, David E Hill5, Julian I Schroeder4, Joanne Chory9, Joshua LaBaer10, Marc Vidal5, Pascal Braun11, Joseph R Ecker12.   

Abstract

Protein microarrays enable investigation of diverse biochemical properties for thousands of proteins in a single experiment, an unparalleled capacity. Using a high-density system called HaloTag nucleic acid programmable protein array (HaloTag-NAPPA), we created high-density protein arrays comprising 12,000 Arabidopsis ORFs. We used these arrays to query protein-protein interactions for a set of 38 transcription factors and transcriptional regulators (TFs) that function in diverse plant hormone regulatory pathways. The resulting transcription factor interactome network, TF-NAPPA, contains thousands of novel interactions. Validation in a benchmarked in vitro pull-down assay revealed that a random subset of TF-NAPPA validated at the same rate of 64% as a positive reference set of literature-curated interactions. Moreover, using a bimolecular fluorescence complementation (BiFC) assay, we confirmed in planta several interactions of biological interest and determined the interaction localizations for seven pairs. The application of HaloTag-NAPPA technology to plant hormone signaling pathways allowed the identification of many novel transcription factor-protein interactions and led to the development of a proteome-wide plant hormone TF interactome network.

Entities:  

Keywords:  Arabidopsis thaliana; hormone; interactome; protein arrays; systems biology

Mesh:

Substances:

Year:  2016        PMID: 27357687      PMCID: PMC4961138          DOI: 10.1073/pnas.1603229113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  61 in total

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Authors: 
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Journal:  Plant Cell       Date:  2011-02-18       Impact factor: 11.277

7.  A novel genetic system to detect protein-protein interactions.

Authors:  S Fields; O Song
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8.  Abscisic acid inhibits type 2C protein phosphatases via the PYR/PYL family of START proteins.

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10.  Literature-curated protein interaction datasets.

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Review 5.  Visualizing and Manipulating Biological Processes by Using HaloTag and SNAP-Tag Technologies.

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10.  New Insights on the Regulation of Glucosinolate Biosynthesis via COP1 and DELLA Proteins in Arabidopsis Thaliana.

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