Systematic identification of post-transcriptional regulatory modules

Abstract In our cells, a limited number of RNA binding proteins (RBPs) are responsible for all aspects of RNA metabolism across the entire transcriptome. To accomplish this, RBPs form regulatory units that act on specific target regulons. However, the landscape of RBP combinatorial interactions rema...

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Main Authors: Matvei Khoroshkin, Andrey Buyan, Martin Dodel, Albertas Navickas, Johnny Yu, Fathima Trejo, Anthony Doty, Rithvik Baratam, Shaopu Zhou, Sean B. Lee, Tanvi Joshi, Kristle Garcia, Benedict Choi, Sohit Miglani, Vishvak Subramanyam, Hailey Modi, Christopher Carpenter, Daniel Markett, M. Ryan Corces, Faraz K. Mardakheh, Ivan V. Kulakovskiy, Hani Goodarzi
Format: Article
Language:English
Published: Nature Portfolio 2024-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-52215-7
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author Matvei Khoroshkin
Andrey Buyan
Martin Dodel
Albertas Navickas
Johnny Yu
Fathima Trejo
Anthony Doty
Rithvik Baratam
Shaopu Zhou
Sean B. Lee
Tanvi Joshi
Kristle Garcia
Benedict Choi
Sohit Miglani
Vishvak Subramanyam
Hailey Modi
Christopher Carpenter
Daniel Markett
M. Ryan Corces
Faraz K. Mardakheh
Ivan V. Kulakovskiy
Hani Goodarzi
author_facet Matvei Khoroshkin
Andrey Buyan
Martin Dodel
Albertas Navickas
Johnny Yu
Fathima Trejo
Anthony Doty
Rithvik Baratam
Shaopu Zhou
Sean B. Lee
Tanvi Joshi
Kristle Garcia
Benedict Choi
Sohit Miglani
Vishvak Subramanyam
Hailey Modi
Christopher Carpenter
Daniel Markett
M. Ryan Corces
Faraz K. Mardakheh
Ivan V. Kulakovskiy
Hani Goodarzi
author_sort Matvei Khoroshkin
collection DOAJ
description Abstract In our cells, a limited number of RNA binding proteins (RBPs) are responsible for all aspects of RNA metabolism across the entire transcriptome. To accomplish this, RBPs form regulatory units that act on specific target regulons. However, the landscape of RBP combinatorial interactions remains poorly explored. Here, we perform a systematic annotation of RBP combinatorial interactions via multimodal data integration. We build a large-scale map of RBP protein neighborhoods by generating in vivo proximity-dependent biotinylation datasets of 50 human RBPs. In parallel, we use CRISPR interference with single-cell readout to capture transcriptomic changes upon RBP knockdowns. By combining these physical and functional interaction readouts, along with the atlas of RBP mRNA targets from eCLIP assays, we generate an integrated map of functional RBP interactions. We then use this map to match RBPs to their context-specific functions and validate the predicted functions biochemically for four RBPs. This study provides a detailed map of RBP interactions and deconvolves them into distinct regulatory modules with annotated functions and target regulons. This multimodal and integrative framework provides a principled approach for studying post-transcriptional regulatory processes and enriches our understanding of their underlying mechanisms.
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spelling doaj-art-e0a9c0d9b7a0471c8ee72df7e5f560df2025-08-20T02:18:35ZengNature PortfolioNature Communications2041-17232024-09-0115112110.1038/s41467-024-52215-7Systematic identification of post-transcriptional regulatory modulesMatvei Khoroshkin0Andrey Buyan1Martin Dodel2Albertas Navickas3Johnny Yu4Fathima Trejo5Anthony Doty6Rithvik Baratam7Shaopu Zhou8Sean B. Lee9Tanvi Joshi10Kristle Garcia11Benedict Choi12Sohit Miglani13Vishvak Subramanyam14Hailey Modi15Christopher Carpenter16Daniel Markett17M. Ryan Corces18Faraz K. Mardakheh19Ivan V. Kulakovskiy20Hani Goodarzi21Department of Biochemistry and Biophysics, University of California, San FranciscoInstitute of Protein Research, Russian Academy of SciencesCentre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of LondonDepartment of Biochemistry and Biophysics, University of California, San FranciscoDepartment of Biochemistry and Biophysics, University of California, San FranciscoCollege of Arts and Sciences, University of San FranciscoCollege of Arts and Sciences, University of San FranciscoDepartment of Biochemistry and Biophysics, University of California, San FranciscoDepartment of Biochemistry and Biophysics, University of California, San FranciscoDepartment of Biochemistry and Biophysics, University of California, San FranciscoDepartment of Biochemistry and Biophysics, University of California, San FranciscoDepartment of Biochemistry and Biophysics, University of California, San FranciscoDepartment of Biochemistry and Biophysics, University of California, San FranciscoDepartment of Biochemistry and Biophysics, University of California, San FranciscoDepartment of Biochemistry and Biophysics, University of California, San FranciscoGladstone Institute of Neurological DiseaseDepartment of Biochemistry and Biophysics, University of California, San FranciscoDepartment of Biochemistry and Biophysics, University of California, San FranciscoGladstone Institute of Neurological DiseaseCentre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of LondonInstitute of Protein Research, Russian Academy of SciencesDepartment of Biochemistry and Biophysics, University of California, San FranciscoAbstract In our cells, a limited number of RNA binding proteins (RBPs) are responsible for all aspects of RNA metabolism across the entire transcriptome. To accomplish this, RBPs form regulatory units that act on specific target regulons. However, the landscape of RBP combinatorial interactions remains poorly explored. Here, we perform a systematic annotation of RBP combinatorial interactions via multimodal data integration. We build a large-scale map of RBP protein neighborhoods by generating in vivo proximity-dependent biotinylation datasets of 50 human RBPs. In parallel, we use CRISPR interference with single-cell readout to capture transcriptomic changes upon RBP knockdowns. By combining these physical and functional interaction readouts, along with the atlas of RBP mRNA targets from eCLIP assays, we generate an integrated map of functional RBP interactions. We then use this map to match RBPs to their context-specific functions and validate the predicted functions biochemically for four RBPs. This study provides a detailed map of RBP interactions and deconvolves them into distinct regulatory modules with annotated functions and target regulons. This multimodal and integrative framework provides a principled approach for studying post-transcriptional regulatory processes and enriches our understanding of their underlying mechanisms.https://doi.org/10.1038/s41467-024-52215-7
spellingShingle Matvei Khoroshkin
Andrey Buyan
Martin Dodel
Albertas Navickas
Johnny Yu
Fathima Trejo
Anthony Doty
Rithvik Baratam
Shaopu Zhou
Sean B. Lee
Tanvi Joshi
Kristle Garcia
Benedict Choi
Sohit Miglani
Vishvak Subramanyam
Hailey Modi
Christopher Carpenter
Daniel Markett
M. Ryan Corces
Faraz K. Mardakheh
Ivan V. Kulakovskiy
Hani Goodarzi
Systematic identification of post-transcriptional regulatory modules
Nature Communications
title Systematic identification of post-transcriptional regulatory modules
title_full Systematic identification of post-transcriptional regulatory modules
title_fullStr Systematic identification of post-transcriptional regulatory modules
title_full_unstemmed Systematic identification of post-transcriptional regulatory modules
title_short Systematic identification of post-transcriptional regulatory modules
title_sort systematic identification of post transcriptional regulatory modules
url https://doi.org/10.1038/s41467-024-52215-7
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