Cargando…

From network analysis to experimental validation: identification of regulators of non-muscle myosin II contractility using the folded-gastrulation signaling pathway

The morphogenetic process of apical constriction, which relies on non-muscle myosin II (NMII) generated constriction of apical domains of epithelial cells, is key to the development of complex cellular patterns. Apical constriction occurs in almost all multicellular organisms, but one of the most we...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Andy, Varady, Sophia, O’Kelley-Bangsberg, Madelyn, Deng, Vicki, Platenkamp, Amy, Wijngaard, Petra, Bern, Miriam, Gormley, Wyatt, Kushkowski, Elaine, Thompson, Kat, Tibbetts, Logan, Conner, A. Tamar, Noeckel, David, Teran, Aidan, Ritz, Anna, Applewhite, Derek A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568788/
https://www.ncbi.nlm.nih.gov/pubmed/37821823
http://dx.doi.org/10.1186/s12860-023-00492-3
_version_ 1785119425141145600
author Zhao, Andy
Varady, Sophia
O’Kelley-Bangsberg, Madelyn
Deng, Vicki
Platenkamp, Amy
Wijngaard, Petra
Bern, Miriam
Gormley, Wyatt
Kushkowski, Elaine
Thompson, Kat
Tibbetts, Logan
Conner, A. Tamar
Noeckel, David
Teran, Aidan
Ritz, Anna
Applewhite, Derek A.
author_facet Zhao, Andy
Varady, Sophia
O’Kelley-Bangsberg, Madelyn
Deng, Vicki
Platenkamp, Amy
Wijngaard, Petra
Bern, Miriam
Gormley, Wyatt
Kushkowski, Elaine
Thompson, Kat
Tibbetts, Logan
Conner, A. Tamar
Noeckel, David
Teran, Aidan
Ritz, Anna
Applewhite, Derek A.
author_sort Zhao, Andy
collection PubMed
description The morphogenetic process of apical constriction, which relies on non-muscle myosin II (NMII) generated constriction of apical domains of epithelial cells, is key to the development of complex cellular patterns. Apical constriction occurs in almost all multicellular organisms, but one of the most well-characterized systems is the Folded-gastrulation (Fog)-induced apical constriction that occurs in Drosophila. The binding of Fog to its cognizant receptors Mist/Smog results in a signaling cascade that leads to the activation of NMII-generated contractility. Despite our knowledge of key molecular players involved in Fog signaling, we sought to explore whether other proteins have an undiscovered role in its regulation. We developed a computational method to predict unidentified candidate NMII regulators using a network of pairwise protein–protein interactions called an interactome. We first constructed a Drosophila interactome of over 500,000 protein–protein interactions from several databases that curate high-throughput experiments. Next, we implemented several graph-based algorithms that predicted 14 proteins potentially involved in Fog signaling. To test these candidates, we used RNAi depletion in combination with a cellular contractility assay in Drosophila S2R + cells, which respond to Fog by contracting in a stereotypical manner. Of the candidates we screened using this assay, two proteins, the serine/threonine phosphatase Flapwing and the putative guanylate kinase CG11811 were demonstrated to inhibit cellular contractility when depleted, suggestive of their roles as novel regulators of the Fog pathway. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12860-023-00492-3.
format Online
Article
Text
id pubmed-10568788
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-105687882023-10-13 From network analysis to experimental validation: identification of regulators of non-muscle myosin II contractility using the folded-gastrulation signaling pathway Zhao, Andy Varady, Sophia O’Kelley-Bangsberg, Madelyn Deng, Vicki Platenkamp, Amy Wijngaard, Petra Bern, Miriam Gormley, Wyatt Kushkowski, Elaine Thompson, Kat Tibbetts, Logan Conner, A. Tamar Noeckel, David Teran, Aidan Ritz, Anna Applewhite, Derek A. BMC Mol Cell Biol Research The morphogenetic process of apical constriction, which relies on non-muscle myosin II (NMII) generated constriction of apical domains of epithelial cells, is key to the development of complex cellular patterns. Apical constriction occurs in almost all multicellular organisms, but one of the most well-characterized systems is the Folded-gastrulation (Fog)-induced apical constriction that occurs in Drosophila. The binding of Fog to its cognizant receptors Mist/Smog results in a signaling cascade that leads to the activation of NMII-generated contractility. Despite our knowledge of key molecular players involved in Fog signaling, we sought to explore whether other proteins have an undiscovered role in its regulation. We developed a computational method to predict unidentified candidate NMII regulators using a network of pairwise protein–protein interactions called an interactome. We first constructed a Drosophila interactome of over 500,000 protein–protein interactions from several databases that curate high-throughput experiments. Next, we implemented several graph-based algorithms that predicted 14 proteins potentially involved in Fog signaling. To test these candidates, we used RNAi depletion in combination with a cellular contractility assay in Drosophila S2R + cells, which respond to Fog by contracting in a stereotypical manner. Of the candidates we screened using this assay, two proteins, the serine/threonine phosphatase Flapwing and the putative guanylate kinase CG11811 were demonstrated to inhibit cellular contractility when depleted, suggestive of their roles as novel regulators of the Fog pathway. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12860-023-00492-3. BioMed Central 2023-10-11 /pmc/articles/PMC10568788/ /pubmed/37821823 http://dx.doi.org/10.1186/s12860-023-00492-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhao, Andy
Varady, Sophia
O’Kelley-Bangsberg, Madelyn
Deng, Vicki
Platenkamp, Amy
Wijngaard, Petra
Bern, Miriam
Gormley, Wyatt
Kushkowski, Elaine
Thompson, Kat
Tibbetts, Logan
Conner, A. Tamar
Noeckel, David
Teran, Aidan
Ritz, Anna
Applewhite, Derek A.
From network analysis to experimental validation: identification of regulators of non-muscle myosin II contractility using the folded-gastrulation signaling pathway
title From network analysis to experimental validation: identification of regulators of non-muscle myosin II contractility using the folded-gastrulation signaling pathway
title_full From network analysis to experimental validation: identification of regulators of non-muscle myosin II contractility using the folded-gastrulation signaling pathway
title_fullStr From network analysis to experimental validation: identification of regulators of non-muscle myosin II contractility using the folded-gastrulation signaling pathway
title_full_unstemmed From network analysis to experimental validation: identification of regulators of non-muscle myosin II contractility using the folded-gastrulation signaling pathway
title_short From network analysis to experimental validation: identification of regulators of non-muscle myosin II contractility using the folded-gastrulation signaling pathway
title_sort from network analysis to experimental validation: identification of regulators of non-muscle myosin ii contractility using the folded-gastrulation signaling pathway
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568788/
https://www.ncbi.nlm.nih.gov/pubmed/37821823
http://dx.doi.org/10.1186/s12860-023-00492-3
work_keys_str_mv AT zhaoandy fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT varadysophia fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT okelleybangsbergmadelyn fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT dengvicki fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT platenkampamy fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT wijngaardpetra fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT bernmiriam fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT gormleywyatt fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT kushkowskielaine fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT thompsonkat fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT tibbettslogan fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT conneratamar fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT noeckeldavid fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT teranaidan fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT ritzanna fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway
AT applewhitedereka fromnetworkanalysistoexperimentalvalidationidentificationofregulatorsofnonmusclemyosiniicontractilityusingthefoldedgastrulationsignalingpathway