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Dutta S, Kumar V, Barua A, Vasudevan M. Investigating the differential structural organization and gene expression regulatory networks of lamin A Ig fold domain mutants of muscular dystrophy. Biochem J 2024; 481:1803-1827. [PMID: 39509247 DOI: 10.1042/bcj20240474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2024] [Revised: 10/31/2024] [Accepted: 11/07/2024] [Indexed: 11/15/2024]
Abstract
Lamins form a proteinaceous meshwork as a major structural component of the nucleus. Lamins, along with their interactors, act as determinants for chromatin organization throughout the nucleus. The major dominant missense mutations responsible for autosomal dominant forms of muscular dystrophies reside in the Ig fold domain of lamin A. However, how lamin A contributes to the distribution of heterochromatin and balances euchromatin, and how it relocates epigenetic marks to shape chromatin states, remains poorly defined, making it difficult to draw conclusions about the prognosis of lamin A-mediated muscular dystrophies. In the first part of this report, we identified the in vitro organization of full-length lamin A proteins due to two well-documented Ig LMNA mutations, R453W and W514R. We further demonstrated that both lamin A/C mutant cells predominantly expressed nucleoplasmic aggregates. Labeling specific markers of epigenetics allowed correlation of lamin A mutations with epigenetic mechanisms. In addition to manipulating epigenetic mechanisms, our proteomic studies traced diverse expressions of transcription regulators, RNA synthesis and processing proteins, protein translation components, and posttranslational modifications. These data suggest severe perturbations in targeting other proteins to the nucleus.
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Affiliation(s)
- Subarna Dutta
- Department of Biochemistry, University of Calcutta, 35, Ballygunge Circular Road, Kolkata 700019, West Bengal, India
- Theomics International Private Limited 28, Income Tax Layout, Sadananda Nagar, NGEF Layout, Bengaluru 560038, India
| | - Vikas Kumar
- UMass Chan Medical School, Mass Spectrometry Facility, 222 Maple Avenue, Shrewsbury, MA 01545, U.S.A
| | - Arnab Barua
- Tata Institute of Fundamental Research, Hyderabad 500046, India
| | - Madavan Vasudevan
- Theomics International Private Limited 28, Income Tax Layout, Sadananda Nagar, NGEF Layout, Bengaluru 560038, India
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Wang Y, Ni T, Wang W, Liu F. Gene transcription in bursting: a unified mode for realizing accuracy and stochasticity. Biol Rev Camb Philos Soc 2019; 94:248-258. [PMID: 30024089 PMCID: PMC7379551 DOI: 10.1111/brv.12452] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 06/13/2018] [Accepted: 06/27/2018] [Indexed: 01/24/2023]
Abstract
There is accumulating evidence that, from bacteria to mammalian cells, messenger RNAs (mRNAs) are produced in intermittent bursts - a much 'noisier' process than traditionally thought. Based on quantitative measurements at individual promoters, diverse phenomenological models have been proposed for transcriptional bursting. Nevertheless, the underlying molecular mechanisms and significance for cellular signalling remain elusive. Here, we review recent progress, address the above issues and illuminate our viewpoints with simulation results. Despite being widely used in modelling and in interpreting experimental data, the traditional two-state model is far from adequate to describe or infer the molecular basis and stochastic principles of transcription. In bacteria, DNA supercoiling contributes to the bursting of those genes that express at high levels and are topologically constrained in short loops; moreover, low-affinity cis-regulatory elements and unstable protein complexes can play a key role in transcriptional regulation. Integrating data on the architecture, kinetics, and transcriptional input-output function is a promising approach to uncovering the underlying dynamic mechanism. For eukaryotes, distinct bursting features described by the multi-scale and continuum models coincide with those predicted by four theoretically derived principles that govern how the transcription apparatus operates dynamically. This consistency suggests a unified framework for comprehending bursting dynamics at the level of the structural and kinetic basis of transcription. Moreover, the existing models can be unified by a generic model. Remarkably, transcriptional bursting enables regulatory information to be transmitted in a digital manner, with the burst frequency representing the strength of regulatory signals. Such a mode guarantees high fidelity for precise transcriptional regulation and also provides sufficient randomness for realizing cellular heterogeneity.
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Affiliation(s)
- Yaolai Wang
- National Laboratory of Solid State Microstructures, Department of Physics, and Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing210093China
- School of ScienceJiangnan UniversityWuxi214122China
| | - Tengfei Ni
- National Laboratory of Solid State Microstructures, Department of Physics, and Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing210093China
| | - Wei Wang
- National Laboratory of Solid State Microstructures, Department of Physics, and Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing210093China
| | - Feng Liu
- National Laboratory of Solid State Microstructures, Department of Physics, and Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing210093China
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Choi A, Wang M, Hrizo S, Buckley MS. Visualizing cellular stress: A hypothesis-driven confocal laboratory exercise to identify compounds that activate heat shock factor binding at Hsp70 loci. BIOCHEMISTRY AND MOLECULAR BIOLOGY EDUCATION : A BIMONTHLY PUBLICATION OF THE INTERNATIONAL UNION OF BIOCHEMISTRY AND MOLECULAR BIOLOGY 2018; 46:445-452. [PMID: 30204283 DOI: 10.1002/bmb.21163] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 06/11/2018] [Accepted: 07/10/2018] [Indexed: 06/08/2023]
Abstract
Exposure of organisms to high temperatures and various chemical and physical stressors can cause protein misfolding and aggregation. In turn, this can disrupt the functions of proteins, threatening both development and homeostasis. To overcome this, cells can initiate the highly conserved heat shock (HS) stress response pathway. In eukaryotes, this is a coordinated cellular response, in which the master HS activator, heat shock factor (HSF), is rapidly recruited to the HS protein genes, and triggers the recruitment of additional coactivator proteins that facilitate gene expression. This results in the production of HS proteins that function as nuclear and cytosolic molecular chaperones, to promote refolding of proteins and prevent aggregation and increase protein degradation pathways. Here, we describe a laboratory exercise in which students visualize and quantify Green Fluorescent Protein (GFP)-tagged HSF binding to the HS protein genes in living Drosophila salivary gland nuclei as an output of chemically induced protein misfolding. Students are assigned an array of chemicals, and using the scientific literature, predict impacts of these chemicals on protein folding. Students then test the effects of their chemicals by measuring GFP-tagged HSF binding to the HS genes in salivary glands using confocal microscopy. Designed for junior and senior level students in a cell/molecular biology course, this is a two-part lab, in which student work closely with an instructor to help familiarize them with developing hypotheses supported by scientific literature and testing these hypotheses by quantitating the levels of GFP-HSF binding, using confocal microscopy of living Drosophila cells. © 2018 International Union of Biochemistry and Molecular Biology, 46(5):445-452, 2018.
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Affiliation(s)
- Annette Choi
- Department of Biology, Slippery Rock University, Slippery Rock, Pennsylvania, 16057
| | - Mengqi Wang
- Department of Biology, Slippery Rock University, Slippery Rock, Pennsylvania, 16057
| | - Stacy Hrizo
- Department of Biology, Slippery Rock University, Slippery Rock, Pennsylvania, 16057
- Department of Pharmacology, University of Pittsburgh, Pittsburgh, Pennsylvania, 15261
| | - Martin S Buckley
- Department of Biology, Slippery Rock University, Slippery Rock, Pennsylvania, 16057
- Department of Pharmacology, University of Pittsburgh, Pittsburgh, Pennsylvania, 15261
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Arnal JF, Lenfant F, Metivier R, Flouriot G, Henrion D, Adlanmerini M, Fontaine C, Gourdy P, Chambon P, Katzenellenbogen B, Katzenellenbogen J. Membrane and Nuclear Estrogen Receptor Alpha Actions: From Tissue Specificity to Medical Implications. Physiol Rev 2017; 97:1045-1087. [DOI: 10.1152/physrev.00024.2016] [Citation(s) in RCA: 213] [Impact Index Per Article: 30.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Revised: 12/19/2016] [Accepted: 01/18/2017] [Indexed: 12/22/2022] Open
Abstract
Estrogen receptor alpha (ERα) has been recognized now for several decades as playing a key role in reproduction and exerting functions in numerous nonreproductive tissues. In this review, we attempt to summarize the in vitro studies that are the basis of our current understanding of the mechanisms of action of ERα as a nuclear receptor and the key roles played by its two activation functions (AFs) in its transcriptional activities. We then depict the consequences of the selective inactivation of these AFs in mouse models, focusing on the prominent roles played by ERα in the reproductive tract and in the vascular system. Evidence has accumulated over the two last decades that ERα is also associated with the plasma membrane and activates non-nuclear signaling from this site. These rapid/nongenomic/membrane-initiated steroid signals (MISS) have been characterized in a variety of cell lines, and in particular in endothelial cells. The development of selective pharmacological tools that specifically activate MISS and the generation of mice expressing an ERα protein impeded for membrane localization have begun to unravel the physiological role of MISS in vivo. Finally, we discuss novel perspectives for the design of tissue-selective ER modulators based on the integration of the physiological and pathophysiological roles of MISS actions of estrogens.
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Affiliation(s)
- Jean-Francois Arnal
- I2MC, Institut National de la Santé et de la Recherche Médicale (INSERM) U 1048, Université de Toulouse 3 and CHU de Toulouse, Toulouse, France; Equipe SP@RTE UMR 6290 CNRS, Institut de Genétique et Développement de Rennes, Université de Rennes 1, Campus de Beaulieu, Rennes, France; Université de Rennes 1, Institut de Recherche en Santé, Environnement et Travail (Irest–INSERM UMR 1085), Equipe TREC, Rennes, France; Unité Mixte de Recherche 6214, Centre National de la Recherche Scientifique, Angers,
| | - Françoise Lenfant
- I2MC, Institut National de la Santé et de la Recherche Médicale (INSERM) U 1048, Université de Toulouse 3 and CHU de Toulouse, Toulouse, France; Equipe SP@RTE UMR 6290 CNRS, Institut de Genétique et Développement de Rennes, Université de Rennes 1, Campus de Beaulieu, Rennes, France; Université de Rennes 1, Institut de Recherche en Santé, Environnement et Travail (Irest–INSERM UMR 1085), Equipe TREC, Rennes, France; Unité Mixte de Recherche 6214, Centre National de la Recherche Scientifique, Angers,
| | - Raphaël Metivier
- I2MC, Institut National de la Santé et de la Recherche Médicale (INSERM) U 1048, Université de Toulouse 3 and CHU de Toulouse, Toulouse, France; Equipe SP@RTE UMR 6290 CNRS, Institut de Genétique et Développement de Rennes, Université de Rennes 1, Campus de Beaulieu, Rennes, France; Université de Rennes 1, Institut de Recherche en Santé, Environnement et Travail (Irest–INSERM UMR 1085), Equipe TREC, Rennes, France; Unité Mixte de Recherche 6214, Centre National de la Recherche Scientifique, Angers,
| | - Gilles Flouriot
- I2MC, Institut National de la Santé et de la Recherche Médicale (INSERM) U 1048, Université de Toulouse 3 and CHU de Toulouse, Toulouse, France; Equipe SP@RTE UMR 6290 CNRS, Institut de Genétique et Développement de Rennes, Université de Rennes 1, Campus de Beaulieu, Rennes, France; Université de Rennes 1, Institut de Recherche en Santé, Environnement et Travail (Irest–INSERM UMR 1085), Equipe TREC, Rennes, France; Unité Mixte de Recherche 6214, Centre National de la Recherche Scientifique, Angers,
| | - Daniel Henrion
- I2MC, Institut National de la Santé et de la Recherche Médicale (INSERM) U 1048, Université de Toulouse 3 and CHU de Toulouse, Toulouse, France; Equipe SP@RTE UMR 6290 CNRS, Institut de Genétique et Développement de Rennes, Université de Rennes 1, Campus de Beaulieu, Rennes, France; Université de Rennes 1, Institut de Recherche en Santé, Environnement et Travail (Irest–INSERM UMR 1085), Equipe TREC, Rennes, France; Unité Mixte de Recherche 6214, Centre National de la Recherche Scientifique, Angers,
| | - Marine Adlanmerini
- I2MC, Institut National de la Santé et de la Recherche Médicale (INSERM) U 1048, Université de Toulouse 3 and CHU de Toulouse, Toulouse, France; Equipe SP@RTE UMR 6290 CNRS, Institut de Genétique et Développement de Rennes, Université de Rennes 1, Campus de Beaulieu, Rennes, France; Université de Rennes 1, Institut de Recherche en Santé, Environnement et Travail (Irest–INSERM UMR 1085), Equipe TREC, Rennes, France; Unité Mixte de Recherche 6214, Centre National de la Recherche Scientifique, Angers,
| | - Coralie Fontaine
- I2MC, Institut National de la Santé et de la Recherche Médicale (INSERM) U 1048, Université de Toulouse 3 and CHU de Toulouse, Toulouse, France; Equipe SP@RTE UMR 6290 CNRS, Institut de Genétique et Développement de Rennes, Université de Rennes 1, Campus de Beaulieu, Rennes, France; Université de Rennes 1, Institut de Recherche en Santé, Environnement et Travail (Irest–INSERM UMR 1085), Equipe TREC, Rennes, France; Unité Mixte de Recherche 6214, Centre National de la Recherche Scientifique, Angers,
| | - Pierre Gourdy
- I2MC, Institut National de la Santé et de la Recherche Médicale (INSERM) U 1048, Université de Toulouse 3 and CHU de Toulouse, Toulouse, France; Equipe SP@RTE UMR 6290 CNRS, Institut de Genétique et Développement de Rennes, Université de Rennes 1, Campus de Beaulieu, Rennes, France; Université de Rennes 1, Institut de Recherche en Santé, Environnement et Travail (Irest–INSERM UMR 1085), Equipe TREC, Rennes, France; Unité Mixte de Recherche 6214, Centre National de la Recherche Scientifique, Angers,
| | - Pierre Chambon
- I2MC, Institut National de la Santé et de la Recherche Médicale (INSERM) U 1048, Université de Toulouse 3 and CHU de Toulouse, Toulouse, France; Equipe SP@RTE UMR 6290 CNRS, Institut de Genétique et Développement de Rennes, Université de Rennes 1, Campus de Beaulieu, Rennes, France; Université de Rennes 1, Institut de Recherche en Santé, Environnement et Travail (Irest–INSERM UMR 1085), Equipe TREC, Rennes, France; Unité Mixte de Recherche 6214, Centre National de la Recherche Scientifique, Angers,
| | - Benita Katzenellenbogen
- I2MC, Institut National de la Santé et de la Recherche Médicale (INSERM) U 1048, Université de Toulouse 3 and CHU de Toulouse, Toulouse, France; Equipe SP@RTE UMR 6290 CNRS, Institut de Genétique et Développement de Rennes, Université de Rennes 1, Campus de Beaulieu, Rennes, France; Université de Rennes 1, Institut de Recherche en Santé, Environnement et Travail (Irest–INSERM UMR 1085), Equipe TREC, Rennes, France; Unité Mixte de Recherche 6214, Centre National de la Recherche Scientifique, Angers,
| | - John Katzenellenbogen
- I2MC, Institut National de la Santé et de la Recherche Médicale (INSERM) U 1048, Université de Toulouse 3 and CHU de Toulouse, Toulouse, France; Equipe SP@RTE UMR 6290 CNRS, Institut de Genétique et Développement de Rennes, Université de Rennes 1, Campus de Beaulieu, Rennes, France; Université de Rennes 1, Institut de Recherche en Santé, Environnement et Travail (Irest–INSERM UMR 1085), Equipe TREC, Rennes, France; Unité Mixte de Recherche 6214, Centre National de la Recherche Scientifique, Angers,
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