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Mance L, Bigot N, Zhamungui Sánchez E, Coste F, Martín-González N, Zentout S, Biliškov M, Pukało Z, Mishra A, Chapuis C, Arteni AA, Lateur A, Goffinont S, Gaudon V, Talhaoui I, Casuso I, Beaufour M, Garnier N, Artzner F, Cadene M, Huet S, Castaing B, Suskiewicz MJ. Dynamic BTB-domain filaments promote clustering of ZBTB proteins. Mol Cell 2024; 84:2490-2510.e9. [PMID: 38996459 DOI: 10.1016/j.molcel.2024.05.029] [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: 07/28/2023] [Revised: 04/11/2024] [Accepted: 05/31/2024] [Indexed: 07/14/2024]
Abstract
The formation of dynamic protein filaments contributes to various biological functions by clustering individual molecules together and enhancing their binding to ligands. We report such a propensity for the BTB domains of certain proteins from the ZBTB family, a large eukaryotic transcription factor family implicated in differentiation and cancer. Working with Xenopus laevis and human proteins, we solved the crystal structures of filaments formed by dimers of the BTB domains of ZBTB8A and ZBTB18 and demonstrated concentration-dependent higher-order assemblies of these dimers in solution. In cells, the BTB-domain filamentation supports clustering of full-length human ZBTB8A and ZBTB18 into dynamic nuclear foci and contributes to the ZBTB18-mediated repression of a reporter gene. The BTB domains of up to 21 human ZBTB family members and two related proteins, NACC1 and NACC2, are predicted to behave in a similar manner. Our results suggest that filamentation is a more common feature of transcription factors than is currently appreciated.
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Affiliation(s)
- Lucija Mance
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France
| | - Nicolas Bigot
- Université Rennes, CNRS, IGDR (Institut de Génétique et Développement de Rennes) - UMR 6290, BIOSIT - UAR3480, 35000 Rennes, France
| | - Edison Zhamungui Sánchez
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France
| | - Franck Coste
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France.
| | - Natalia Martín-González
- Aix-Marseille Université, INSERM, DyNaMo, Turing Centre for Living Systems (CENTURI), 13288 Marseille Cedex 09, France; Aix-Marseille Université, CNRS, AFMB UMR 7257, 13288 Marseille Cedex 09, France
| | - Siham Zentout
- Université Rennes, CNRS, IGDR (Institut de Génétique et Développement de Rennes) - UMR 6290, BIOSIT - UAR3480, 35000 Rennes, France
| | - Marin Biliškov
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France
| | - Zofia Pukało
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France
| | - Aanchal Mishra
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France
| | - Catherine Chapuis
- Université Rennes, CNRS, IGDR (Institut de Génétique et Développement de Rennes) - UMR 6290, BIOSIT - UAR3480, 35000 Rennes, France
| | - Ana-Andreea Arteni
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Cryo-Electron Microscopy Facility, CRYOEM-Gif, 91198 Gif-sur-Yvette, France
| | - Axelle Lateur
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France
| | - Stéphane Goffinont
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France
| | - Virginie Gaudon
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France
| | - Ibtissam Talhaoui
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France
| | - Ignacio Casuso
- Aix-Marseille Université, INSERM, DyNaMo, Turing Centre for Living Systems (CENTURI), 13288 Marseille Cedex 09, France
| | - Martine Beaufour
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France
| | - Norbert Garnier
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France
| | - Franck Artzner
- Université Rennes, CNRS, IPR (Institut de Physique de Rennes) - UMR 6251, 35000 Rennes, France
| | - Martine Cadene
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France
| | - Sébastien Huet
- Université Rennes, CNRS, IGDR (Institut de Génétique et Développement de Rennes) - UMR 6290, BIOSIT - UAR3480, 35000 Rennes, France; Institut Universitaire de France, 75005 Paris, France
| | - Bertrand Castaing
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France
| | - Marcin Józef Suskiewicz
- Centre de Biophysique Moléculaire (CBM), UPR 4301, CNRS, affiliated with Université d'Orléans, 45071 Orléans Cedex 2, France.
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Roberfroid S, Vanderleyden J, Steenackers H. Gene expression variability in clonal populations: Causes and consequences. Crit Rev Microbiol 2016; 42:969-84. [PMID: 26731119 DOI: 10.3109/1040841x.2015.1122571] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
During the last decade it has been shown that among cell variation in gene expression plays an important role within clonal populations. Here, we provide an overview of the different mechanisms contributing to gene expression variability in clonal populations. These are ranging from inherent variations in the biochemical process of gene expression itself, such as intrinsic noise, extrinsic noise and bistability to individual responses to variations in the local micro-environment, a phenomenon called phenotypic plasticity. Also genotypic variations caused by clonal evolution and phase variation can contribute to gene expression variability. Consequently, gene expression studies need to take these fluctuations in expression into account. However, frequently used techniques for expression quantification, such as microarrays, RNA sequencing, quantitative PCR and gene reporter fusions classically determine the population average of gene expression. Here, we discuss how these techniques can be adapted towards single cell analysis by integration with single cell isolation, RNA amplification and microscopy. Alternatively more qualitative selection-based techniques, such as mutant screenings, in vivo expression technology (IVET) and recombination-based IVET (RIVET) can be applied for detection of genes expressed only within a subpopulation. Finally, differential fluorescence induction (DFI), a protocol specially designed for single cell expression is discussed.
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Affiliation(s)
- Stefanie Roberfroid
- a Department of Microbial and Molecular Systems , Centre of Microbial and Plant Genetics, KU Leuven , Leuven , Belgium
| | - Jos Vanderleyden
- a Department of Microbial and Molecular Systems , Centre of Microbial and Plant Genetics, KU Leuven , Leuven , Belgium
| | - Hans Steenackers
- a Department of Microbial and Molecular Systems , Centre of Microbial and Plant Genetics, KU Leuven , Leuven , Belgium
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