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Alcantar MA, English MA, Valeri JA, Collins JJ. A high-throughput synthetic biology approach for studying combinatorial chromatin-based transcriptional regulation. Mol Cell 2024; 84:2382-2396.e9. [PMID: 38906116 DOI: 10.1016/j.molcel.2024.05.025] [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: 06/05/2023] [Revised: 04/11/2024] [Accepted: 05/24/2024] [Indexed: 06/23/2024]
Abstract
The construction of synthetic gene circuits requires the rational combination of multiple regulatory components, but predicting their behavior can be challenging due to poorly understood component interactions and unexpected emergent behaviors. In eukaryotes, chromatin regulators (CRs) are essential regulatory components that orchestrate gene expression. Here, we develop a screening platform to investigate the impact of CR pairs on transcriptional activity in yeast. We construct a combinatorial library consisting of over 1,900 CR pairs and use a high-throughput workflow to characterize the impact of CR co-recruitment on gene expression. We recapitulate known interactions and discover several instances of CR pairs with emergent behaviors. We also demonstrate that supervised machine learning models trained with low-dimensional amino acid embeddings accurately predict the impact of CR co-recruitment on transcriptional activity. This work introduces a scalable platform and machine learning approach that can be used to study how networks of regulatory components impact gene expression.
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Affiliation(s)
- Miguel A Alcantar
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Institute for Medical Engineering and Science, MIT, Cambridge, MA 02139, USA
| | - Max A English
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Institute for Medical Engineering and Science, MIT, Cambridge, MA 02139, USA
| | - Jacqueline A Valeri
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Institute for Medical Engineering and Science, MIT, Cambridge, MA 02139, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - James J Collins
- Department of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA; Institute for Medical Engineering and Science, MIT, Cambridge, MA 02139, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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Shi TH, Sugishita H, Gotoh Y. Crosstalk within and beyond the Polycomb repressive system. J Cell Biol 2024; 223:e202311021. [PMID: 38506728 PMCID: PMC10955045 DOI: 10.1083/jcb.202311021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 03/01/2024] [Accepted: 03/04/2024] [Indexed: 03/21/2024] Open
Abstract
The development of multicellular organisms depends on spatiotemporally controlled differentiation of numerous cell types and their maintenance. To generate such diversity based on the invariant genetic information stored in DNA, epigenetic mechanisms, which are heritable changes in gene function that do not involve alterations to the underlying DNA sequence, are required to establish and maintain unique gene expression programs. Polycomb repressive complexes represent a paradigm of epigenetic regulation of developmentally regulated genes, and the roles of these complexes as well as the epigenetic marks they deposit, namely H3K27me3 and H2AK119ub, have been extensively studied. However, an emerging theme from recent studies is that not only the autonomous functions of the Polycomb repressive system, but also crosstalks of Polycomb with other epigenetic modifications, are important for gene regulation. In this review, we summarize how these crosstalk mechanisms have improved our understanding of Polycomb biology and how such knowledge could help with the design of cancer treatments that target the dysregulated epigenome.
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Affiliation(s)
- Tianyi Hideyuki Shi
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | - Hiroki Sugishita
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
- International Research Center for Neurointelligence, The University of Tokyo, Tokyo, Japan
| | - Yukiko Gotoh
- Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
- International Research Center for Neurointelligence, The University of Tokyo, Tokyo, Japan
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Swain T, Pflueger C, Freytag S, Poppe D, Pflueger J, Nguyen T, Li J, Lister R. A modular dCas9-based recruitment platform for combinatorial epigenome editing. Nucleic Acids Res 2024; 52:474-491. [PMID: 38000387 PMCID: PMC10783489 DOI: 10.1093/nar/gkad1108] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/28/2023] [Accepted: 11/02/2023] [Indexed: 11/26/2023] Open
Abstract
Targeted epigenome editing tools allow precise manipulation and investigation of genome modifications, however they often display high context dependency and variable efficacy between target genes and cell types. While systems that simultaneously recruit multiple distinct 'effector' chromatin regulators can improve efficacy, they generally lack control over effector composition and spatial organisation. To overcome this we have created a modular combinatorial epigenome editing platform, called SSSavi. This system is an interchangeable and reconfigurable docking platform fused to dCas9 that enables simultaneous recruitment of up to four different effectors, allowing precise control of effector composition and spatial ordering. We demonstrate the activity and specificity of the SSSavi system and, by testing it against existing multi-effector targeting systems, demonstrate its comparable efficacy. Furthermore, we demonstrate the importance of the spatial ordering of the recruited effectors for effective transcriptional regulation. Together, the SSSavi system enables exploration of combinatorial effector co-recruitment to enhance manipulation of chromatin contexts previously resistant to targeted editing.
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Affiliation(s)
- Tessa Swain
- Harry Perkins Institute of Medical Research, Nedlands, Western Australia 6009, Australia
| | - Christian Pflueger
- Harry Perkins Institute of Medical Research, Nedlands, Western Australia 6009, Australia
- Australian Research Council Centre of Excellence in Plant Energy Biology, School of Molecular Sciences, The University of Western Australia, Crawley, Western Australia 6009, Australia
| | - Saskia Freytag
- Harry Perkins Institute of Medical Research, Nedlands, Western Australia 6009, Australia
| | - Daniel Poppe
- Harry Perkins Institute of Medical Research, Nedlands, Western Australia 6009, Australia
- Australian Research Council Centre of Excellence in Plant Energy Biology, School of Molecular Sciences, The University of Western Australia, Crawley, Western Australia 6009, Australia
| | - Jahnvi Pflueger
- Harry Perkins Institute of Medical Research, Nedlands, Western Australia 6009, Australia
| | - Trung Viet Nguyen
- Harry Perkins Institute of Medical Research, Nedlands, Western Australia 6009, Australia
| | - Ji Kevin Li
- Harry Perkins Institute of Medical Research, Nedlands, Western Australia 6009, Australia
| | - Ryan Lister
- Harry Perkins Institute of Medical Research, Nedlands, Western Australia 6009, Australia
- Australian Research Council Centre of Excellence in Plant Energy Biology, School of Molecular Sciences, The University of Western Australia, Crawley, Western Australia 6009, Australia
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Mukund AX, Tycko J, Allen SJ, Robinson SA, Andrews C, Sinha J, Ludwig CH, Spees K, Bassik MC, Bintu L. High-throughput functional characterization of combinations of transcriptional activators and repressors. Cell Syst 2023; 14:746-763.e5. [PMID: 37543039 PMCID: PMC10642976 DOI: 10.1016/j.cels.2023.07.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 06/26/2023] [Accepted: 07/06/2023] [Indexed: 08/07/2023]
Abstract
Despite growing knowledge of the functions of individual human transcriptional effector domains, much less is understood about how multiple effector domains within the same protein combine to regulate gene expression. Here, we measure transcriptional activity for 8,400 effector domain combinations by recruiting them to reporter genes in human cells. In our assay, weak and moderate activation domains synergize to drive strong gene expression, whereas combining strong activators often results in weaker activation. In contrast, repressors combine linearly and produce full gene silencing, and repressor domains often overpower activation domains. We use this information to build a synthetic transcription factor whose function can be tuned between repression and activation independent of recruitment to target genes by using a small-molecule drug. Altogether, we outline the basic principles of how effector domains combine to regulate gene expression and demonstrate their value in building precise and flexible synthetic biology tools. A record of this paper's transparent peer review process is included in the supplemental information.
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Affiliation(s)
- Adi X Mukund
- Biophysics Program, Stanford University, Stanford, CA 94305, USA
| | - Josh Tycko
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Sage J Allen
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | | | - Cecelia Andrews
- Department of Developmental Biology, Stanford University, Stanford, CA 94305, USA
| | - Joydeb Sinha
- Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA
| | - Connor H Ludwig
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Kaitlyn Spees
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Michael C Bassik
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Lacramioara Bintu
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
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Parsels LA, Wahl DR, Koschmann C, Morgan MA, Zhang Q. Developing H3K27M mutant selective radiosensitization strategies in diffuse intrinsic pontine glioma. Neoplasia 2023; 37:100881. [PMID: 36724689 PMCID: PMC9918797 DOI: 10.1016/j.neo.2023.100881] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/13/2023] [Accepted: 01/23/2023] [Indexed: 01/31/2023]
Abstract
Diffuse intrinsic pontine glioma (DIPG) is a rare but highly lethal pediatric and adolescent tumor located in the pons of the brainstem. DIPGs harbor unique and specific pathological and molecular alterations, such as the hallmark lysine 27-to-methionine (H3K27M) mutation in histone H3, which lead to global changes in the epigenetic landscape and drive tumorigenesis. While fractionated radiotherapy, the current standard of care, improves symptoms and delays tumor progression, DIPGs inevitably recur, and despite extensive efforts chemotherapy-driven radiosensitization strategies have failed to improve survival. Advances in our understanding of the role of epigenetics in the cellular response to radiation-induced DNA damage, however, offer new opportunities to develop combinational therapeutic strategies selective for DIPGs expressing H3K27M. In this review, we provide an overview of preclinical studies that explore potential radiosensitization strategies targeting the unique epigenetic landscape of H3K27M mutant DIPG. We further discuss opportunities to selectively radiosensitize DIPG through strategic inhibition of the radiation-induced DNA damage response. Finally, we discuss the potential for using radiation to induce anti-tumor immune responses that may be potentiated in DIPG by radiosensitizing-therapeutic strategies.
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Affiliation(s)
- Leslie A Parsels
- Department of Radiation Oncology, Rogel Cancer Center, University of Michigan Medical School, 1301 Catherine Street, Ann Arbor, MI, 48109, USA
| | - Daniel R Wahl
- Department of Radiation Oncology, Rogel Cancer Center, University of Michigan Medical School, 1301 Catherine Street, Ann Arbor, MI, 48109, USA
| | - Carl Koschmann
- Department of Pediatrics, Division of Pediatric Hematology-Oncology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Meredith A Morgan
- Department of Radiation Oncology, Rogel Cancer Center, University of Michigan Medical School, 1301 Catherine Street, Ann Arbor, MI, 48109, USA.
| | - Qiang Zhang
- Department of Radiation Oncology, Rogel Cancer Center, University of Michigan Medical School, 1301 Catherine Street, Ann Arbor, MI, 48109, USA.
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Single-cell epigenetic analysis reveals principles of chromatin states in H3.3-K27M gliomas. Mol Cell 2022; 82:2696-2713.e9. [PMID: 35716669 DOI: 10.1016/j.molcel.2022.05.023] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 03/28/2022] [Accepted: 05/18/2022] [Indexed: 11/23/2022]
Abstract
Cancer cells are highly heterogeneous at the transcriptional level and epigenetic state. Methods to study epigenetic heterogeneity are limited in throughput and information obtained per cell. Here, we adapted cytometry by time-of-flight (CyTOF) to analyze a wide panel of histone modifications in primary tumor-derived lines of diffused intrinsic pontine glioma (DIPG). DIPG is a lethal glioma, driven by a histone H3 lysine 27 mutation (H3-K27M). We identified two epigenetically distinct subpopulations in DIPG, reflecting inherent heterogeneity in expression of the mutant histone. These two subpopulations are robust across tumor lines derived from different patients and show differential proliferation capacity and expression of stem cell and differentiation markers. Moreover, we demonstrate the use of these high-dimensional data to elucidate potential interactions between histone modifications and epigenetic alterations during the cell cycle. Our work establishes new concepts for the analysis of epigenetic heterogeneity in cancer that could be applied to diverse biological systems.
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