TAZ interactome analysis using nanotrap-based affinity purification–mass spectrometry

Characterization of protein-protein interactions (PPIs) is a fundamental goal in the post-genomic era. Here, we document a generally applicable approach to identify cellular protein interactomes using a combination of nanobody-based affinity purification (AP) coupled with liquid chromatography and tandem mass spectrometry (LC-MS/MS). The Hippo signaling regulator TAZ (also known as WWTR1) functions as a transcriptional co-repressor or activator depending on its PPI network; we therefore undertook an unbiased proteomic screen to identify TAZ PPIs in striated muscle cells. A GFP nanotrap-based AP approach coupled with protein identification through LC-MS/MS was used to document a comprehensive list of known and novel TAZ interactome components. Informatic analysis of the interactome documented known components of the Hippo signaling pathway and multiple epigenetic regulators such as the NuRD, FACT and SWI/SNF complexes and the pro-myogenic CARM1 methyltransferase. Hippo pathway reporter gene (HOP/HIP) analysis indicated that CARM1 represses TAZ transcriptional co-activator function, promoting TAZ Ser89 phosphorylation and TAZ cytoplasmic sequestration. MS analysis revealed that CARM1 dimethylates TAZ at Arg77 in a PGPR*LAGG consensus peptide, resulting in enhanced TAZ Ser89 phosphorylation. These studies underline the utility of a nanobody-based AP approach for interactome analysis.

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Publication Details

Journal
Journal of Cell Science
Published
2025-02-03
DOI
https://doi.org/10.1242/jcs.263527
Citations
1
Primary Topic
Hippo pathway signaling and YAP/TAZ
Type
article
Field-Weighted Citation Impact
1.15

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article

TAZ interactome analysis using nanotrap-based affinity purification–mass spectrometry

Jonathan Kelebeev, John C. McDermott, Tetsuaki Miyake, Anastasia MacKeracher
1 citations
Journal of Cell Science
Hippo pathway signaling and YAP/TAZ
1.15
article

TAZ interactome analysis using nanotrap-based affinity purification–mass spectrometry

Jonathan Kelebeev, John C. McDermott, Tetsuaki Miyake, Anastasia MacKeracher
article en
1 citations

Abstract

Characterization of protein-protein interactions (PPIs) is a fundamental goal in the post-genomic era. Here, we document a generally applicable approach to identify cellular protein interactomes using a combination of nanobody-based affinity purification (AP) coupled with liquid chromatography and tandem mass spectrometry (LC-MS/MS). The Hippo signaling regulator TAZ (also known as WWTR1) functions as a transcriptional co-repressor or activator depending on its PPI network; we therefore undertook an unbiased proteomic screen to identify TAZ PPIs in striated muscle cells. A GFP nanotrap-based AP approach coupled with protein identification through LC-MS/MS was used to document a comprehensive list of known and novel TAZ interactome components. Informatic analysis of the interactome documented known components of the Hippo signaling pathway and multiple epigenetic regulators such as the NuRD, FACT and SWI/SNF complexes and the pro-myogenic CARM1 methyltransferase. Hippo pathway reporter gene (HOP/HIP) analysis indicated that CARM1 represses TAZ transcriptional co-activator function, promoting TAZ Ser89 phosphorylation and TAZ cytoplasmic sequestration. MS analysis revealed that CARM1 dimethylates TAZ at Arg77 in a PGPR*LAGG consensus peptide, resulting in enhanced TAZ Ser89 phosphorylation. These studies underline the utility of a nanobody-based AP approach for interactome analysis.

Journal of Cell ScienceVol. 138(4)
York University (CA)
Heart and Stroke Foundation of Canada, York University, Hospital for Sick Children, Scheme for Promotion of Academic and Research Collaboration, Canadian Institutes of Health Research, Institute of Musculoskeletal Health and Arthritis
Openalex Percentile: Top 28%
Hippo pathway signaling and YAP/TAZ
1.15
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TAZ interactome analysis using nanotrap-based affinity purification–mass spectrometry — Jonathan Kelebeev, John C. McDermott, et al. · Journal of Cell Science (2025) | TGRS Research Map | TGRS