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      Identification and partial characterization of new cell density-dependent nucleocytoplasmic shuttling proteins and open chromatin

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      Scientific Reports
      Nature Publishing Group UK
      Biochemistry, Cell biology

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          Abstract

          The contact inhibition of proliferation (CIP) denotes the cell density-dependent inhibition of growth, and the loss of CIP represents a hallmark of cancer. However, the mechanism by which CIP regulates gene expression remains poorly understood. Chromatin is a highly complex structure consisting of DNA, histones, and trans-acting factors (TAFs). The binding of TAF proteins to specific chromosomal loci regulates gene expression. Therefore, profiling chromatin is crucial for gaining insight into the gene expression mechanism of CIP. In this study, using modified proteomics of TAFs bound to DNA, we identified a protein that shuttles between the nucleus and cytosol in a cell density-dependent manner. We identified TIPARP, PTGES3, CBFB, and SMAD4 as cell density-dependent nucleocytoplasmic shuttling proteins. In low-density cells, these proteins predominantly reside in the nucleus; however, upon reaching high density, they relocate to the cytosol. Given their established roles in gene regulation, our findings propose their involvement as CIP-dependent TAFs. We also identified and characterized potential open chromatin regions sensitive to changes in cell density. These findings provide insights into the modulation of chromatin structure by CIP.

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          Most cited references51

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          Andromeda: a peptide search engine integrated into the MaxQuant environment.

          A key step in mass spectrometry (MS)-based proteomics is the identification of peptides in sequence databases by their fragmentation spectra. Here we describe Andromeda, a novel peptide search engine using a probabilistic scoring model. On proteome data, Andromeda performs as well as Mascot, a widely used commercial search engine, as judged by sensitivity and specificity analysis based on target decoy searches. Furthermore, it can handle data with arbitrarily high fragment mass accuracy, is able to assign and score complex patterns of post-translational modifications, such as highly phosphorylated peptides, and accommodates extremely large databases. The algorithms of Andromeda are provided. Andromeda can function independently or as an integrated search engine of the widely used MaxQuant computational proteomics platform and both are freely available at www.maxquant.org. The combination enables analysis of large data sets in a simple analysis workflow on a desktop computer. For searching individual spectra Andromeda is also accessible via a web server. We demonstrate the flexibility of the system by implementing the capability to identify cofragmented peptides, significantly improving the total number of identified peptides.
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            GREAT improves functional interpretation of cis-regulatory regions.

            We developed the Genomic Regions Enrichment of Annotations Tool (GREAT) to analyze the functional significance of cis-regulatory regions identified by localized measurements of DNA binding events across an entire genome. Whereas previous methods took into account only binding proximal to genes, GREAT is able to properly incorporate distal binding sites and control for false positives using a binomial test over the input genomic regions. GREAT incorporates annotations from 20 ontologies and is available as a web application. Applying GREAT to data sets from chromatin immunoprecipitation coupled with massively parallel sequencing (ChIP-seq) of multiple transcription-associated factors, including SRF, NRSF, GABP, Stat3 and p300 in different developmental contexts, we recover many functions of these factors that are missed by existing gene-based tools, and we generate testable hypotheses. The utility of GREAT is not limited to ChIP-seq, as it could also be applied to open chromatin, localized epigenomic markers and similar functional data sets, as well as comparative genomics sets.
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              Role of YAP/TAZ in mechanotransduction.

              Cells perceive their microenvironment not only through soluble signals but also through physical and mechanical cues, such as extracellular matrix (ECM) stiffness or confined adhesiveness. By mechanotransduction systems, cells translate these stimuli into biochemical signals controlling multiple aspects of cell behaviour, including growth, differentiation and cancer malignant progression, but how rigidity mechanosensing is ultimately linked to activity of nuclear transcription factors remains poorly understood. Here we report the identification of the Yorkie-homologues YAP (Yes-associated protein) and TAZ (transcriptional coactivator with PDZ-binding motif, also known as WWTR1) as nuclear relays of mechanical signals exerted by ECM rigidity and cell shape. This regulation requires Rho GTPase activity and tension of the actomyosin cytoskeleton, but is independent of the Hippo/LATS cascade. Crucially, YAP/TAZ are functionally required for differentiation of mesenchymal stem cells induced by ECM stiffness and for survival of endothelial cells regulated by cell geometry; conversely, expression of activated YAP overrules physical constraints in dictating cell behaviour. These findings identify YAP/TAZ as sensors and mediators of mechanical cues instructed by the cellular microenvironment.
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                Author and article information

                Contributors
                fnakamura@tju.edu.cn
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                8 December 2023
                8 December 2023
                2023
                : 13
                : 21723
                Affiliations
                School of Pharmaceutical Science and Technology, Tianjin University, Nankai District, ( https://ror.org/012tb2g32) 92 Weijin Road, Tianjin, 300072 China
                Article
                49100
                10.1038/s41598-023-49100-6
                10709462
                38066085
                366810f5-0f00-41f5-97c7-0933bcdfdd8c
                © The Author(s) 2023

                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/.

                History
                : 28 September 2023
                : 4 December 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 31771551
                Award Recipient :
                Categories
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                © Springer Nature Limited 2023

                Uncategorized
                biochemistry,cell biology
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                biochemistry, cell biology

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