1
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Biernacki MA, Bleakley M. Clinical trials, challenges, and changes in TCR-based therapeutics for hematologic malignancies. Expert Rev Hematol 2024:1-11. [PMID: 39667756 DOI: 10.1080/17474086.2024.2441962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 08/14/2024] [Accepted: 12/10/2024] [Indexed: 12/14/2024]
Abstract
INTRODUCTION T cells engineered to express antigen-specific T cell receptors (TCR; TCR-T) are a promising class of immunotherapeutic for patients with hematologic malignancies. Like chimeric antigen receptor-engineered T cells (CAR-T), TCR-T are cell products with defined specificity and composition. Unlike CAR-T, TCR-T can recognize targets arising both from intracellular and cell surface proteins and leverage the sensitivity of natural TCR signaling machinery. A growing number of TCR-T targeting various antigens in different hematologic malignancies are in early-phase clinical trials, and more are in preclinical development. AREAS COVERED This review covers results from early-phase TCR-T clinical trials for hematologic malignancies. Challenges in the field are reviewed, including identifying optimal targets, engaging CD4+ help for CD8+ T cells, and overcoming tumor-induced suppression; recent innovations to overcome these challenges are also highlighted. EXPERT OPINION In the future, TCR-T's promise for hematologic malignancies will be borne out in later-phase clinical trials and approvals for clinical use. Improved antigen discovery methods will help build the toolbox of targets needed for broadly applicable TCR-T. Rationally designed TCR-T modifications including incorporation of accessory receptors and gene editing will enhance TCR-T function. New hybrid receptors combining features of TCR and CAR will enter the clinic.
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Affiliation(s)
| | - Marie Bleakley
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
- Department of Pediatrics, University of Washington, Seattle, WA, USA
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2
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Arce MM, Umhoefer JM, Arang N, Kasinathan S, Freimer JW, Steinhart Z, Shen H, Pham MTN, Ota M, Wadhera A, Dajani R, Dorovskyi D, Chen YY, Liu Q, Zhou Y, Swaney DL, Obernier K, Shy BR, Carnevale J, Satpathy AT, Krogan NJ, Pritchard JK, Marson A. Central control of dynamic gene circuits governs T cell rest and activation. Nature 2024:10.1038/s41586-024-08314-y. [PMID: 39663454 DOI: 10.1038/s41586-024-08314-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 10/30/2024] [Indexed: 12/13/2024]
Abstract
The ability of cells to maintain distinct identities and respond to transient environmental signals requires tightly controlled regulation of gene networks1-3. These dynamic regulatory circuits that respond to extracellular cues in primary human cells remain poorly defined. The need for context-dependent regulation is prominent in T cells, where distinct lineages must respond to diverse signals to mount effective immune responses and maintain homeostasis4-8. Here we performed CRISPR screens in multiple primary human CD4+ T cell contexts to identify regulators that control expression of IL-2Rα, a canonical marker of T cell activation transiently expressed by pro-inflammatory effector T cells and constitutively expressed by anti-inflammatory regulatory T cells where it is required for fitness9-11. Approximately 90% of identified regulators of IL-2Rα had effects that varied across cell types and/or stimulation states, including a subset that even had opposite effects across conditions. Using single-cell transcriptomics after pooled perturbation of context-specific screen hits, we characterized specific factors as regulators of overall rest or activation and constructed state-specific regulatory networks. MED12 - a component of the Mediator complex - serves as a dynamic orchestrator of key regulators, controlling expression of distinct sets of regulators in different T cell contexts. Immunoprecipitation-mass spectrometry revealed that MED12 interacts with the histone methylating COMPASS complex. MED12 was required for histone methylation and expression of genes encoding key context-specific regulators, including the rest maintenance factor KLF2 and the versatile regulator MYC. CRISPR ablation of MED12 blunted the cell-state transitions between rest and activation and protected from activation-induced cell death. Overall, this work leverages CRISPR screens performed across conditions to define dynamic gene circuits required to establish resting and activated T cell states.
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Affiliation(s)
- Maya M Arce
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
- Biomedical Sciences graduate program, University of California, San Francisco, CA, USA
| | - Jennifer M Umhoefer
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
- Biomedical Sciences graduate program, University of California, San Francisco, CA, USA
| | - Nadia Arang
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
| | - Sivakanthan Kasinathan
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Division of Allergy, Immunology, and Rheumatology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Jacob W Freimer
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Zachary Steinhart
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Haolin Shen
- Biomedical Sciences graduate program, University of California, San Francisco, CA, USA
| | - Minh T N Pham
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Mineto Ota
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Anika Wadhera
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Rama Dajani
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Dmytro Dorovskyi
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Yan Yi Chen
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Qi Liu
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
| | - Yuan Zhou
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
| | - Danielle L Swaney
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
| | - Kirsten Obernier
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
| | - Brian R Shy
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Julia Carnevale
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Ansuman T Satpathy
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Nevan J Krogan
- Quantitative Biosciences Institute (QBI), University of California, San Francisco, CA, USA
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA
| | - Jonathan K Pritchard
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Alexander Marson
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA.
- Department of Medicine, University of California, San Francisco, CA, USA.
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA.
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
- Innovative Genomics Institute, University of California-Berkeley, Berkeley, CA, USA.
- Department of Microbiology and Immunology, University of California, San Francisco, CA, USA.
- Institute for Human Genetics, University of California, San Francisco, CA, USA.
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3
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Sang Y, Xu L, Bao Z. Development of artificial transcription factors and their applications in cell reprograming, genetic screen, and disease treatment. Mol Ther 2024; 32:4208-4234. [PMID: 39473180 PMCID: PMC11638881 DOI: 10.1016/j.ymthe.2024.10.029] [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: 06/30/2024] [Revised: 09/18/2024] [Accepted: 10/25/2024] [Indexed: 11/21/2024] Open
Abstract
Gene dysregulations are associated with many human diseases, such as cancers and hereditary diseases. Artificial transcription factors (ATFs) are synthetic molecular tools to regulate the expression of disease-associated genes, which is of great significance in basic biological research and biomedical applications. Recent advances in the engineering of ATFs for regulating endogenous gene expression provide an expanded set of tools for understanding and treating diseases. However, the potential immunogenicity, large size, inefficient delivery, and off-target effects persist as obstacles for ATFs to be developed into therapeutics. Moreover, the activation of an endogenous gene following ATF activity lacks durability. In this review, we first describe the functional components of ATFs, including DNA-binding domains, transcriptional effector domains, and control switches. We then highlight examples of applications of ATFs, including cell reprogramming and differentiation, pathogenic gene screening, and disease treatment. Finally, we analyze and summarize major challenges for the clinical translation of ATFs and propose potential strategies to improve these useful molecular tools.
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Affiliation(s)
- Yetong Sang
- Institute of Bioengineering & Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, Zhejiang, China
| | - Lingjie Xu
- Institute of Bioengineering & Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, Zhejiang, China
| | - Zehua Bao
- Institute of Bioengineering & Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 311215, Zhejiang, China; Zhejiang Key Laboratory of Smart Biomaterials, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, Zhejiang, China.
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4
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Cao Y, Li X, Pan Y, Wang H, Yang S, Hong L, Ye L. CRISPR-based genetic screens advance cancer immunology. SCIENCE CHINA. LIFE SCIENCES 2024; 67:2554-2562. [PMID: 39048715 DOI: 10.1007/s11427-023-2571-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 03/18/2024] [Indexed: 07/27/2024]
Abstract
CRISPR technologies have revolutionized research areas ranging from fundamental science to translational medicine. CRISPR-based genetic screens offer a powerful platform for unbiased screening in various fields, such as cancer immunology. Immune checkpoint blockade (ICB) therapy has been shown to strongly affect cancer treatment. However, the currently available ICBs are limited and do not work in all cancer patients. Pooled CRISPR screens enable the identification of previously unknown immune regulators that can regulate T-cell activation, cytotoxicity, persistence, infiltration into tumors, cytokine secretion, memory formation, T-cell metabolism, and CD4+ T-cell differentiation. These novel targets can be developed as new immunotherapies or used with the current ICBs as new combination therapies that may yield synergistic efficacy. Here, we review the progress made in the development of CRISPR technologies, particularly technological advances in CRISPR screens and their application in novel target identification for immunotherapy.
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Affiliation(s)
- Yuanfang Cao
- Institute of Modern Biology, Nanjing University, Nanjing, 210008, China
| | - Xueting Li
- Institute of Modern Biology, Nanjing University, Nanjing, 210008, China
| | - Yumu Pan
- Institute of Modern Biology, Nanjing University, Nanjing, 210008, China
| | - Huahe Wang
- Institute of Modern Biology, Nanjing University, Nanjing, 210008, China
| | - Siyu Yang
- Institute of Modern Biology, Nanjing University, Nanjing, 210008, China
| | - Lingjuan Hong
- Institute of Modern Biology, Nanjing University, Nanjing, 210008, China
| | - Lupeng Ye
- Institute of Modern Biology, Nanjing University, Nanjing, 210008, China.
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5
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Lei T, Wang Y, Zhang Y, Yang Y, Cao J, Huang J, Chen J, Chen H, Zhang J, Wang L, Xu X, Gale RP, Wang L. Leveraging CRISPR gene editing technology to optimize the efficacy, safety and accessibility of CAR T-cell therapy. Leukemia 2024; 38:2517-2543. [PMID: 39455854 PMCID: PMC11588664 DOI: 10.1038/s41375-024-02444-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 10/09/2024] [Accepted: 10/15/2024] [Indexed: 10/28/2024]
Abstract
Chimeric Antigen Receptor (CAR)-T-cell therapy has revolutionized cancer immune therapy. However, challenges remain including increasing efficacy, reducing adverse events and increasing accessibility. Use of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) technology can effectively perform various functions such as precise integration, multi-gene editing, and genome-wide functional regulation. Additionally, CRISPR screening using large-scale guide RNA (gRNA) genetic perturbation provides an unbiased approach to understanding mechanisms underlying anti-cancer efficacy of CAR T-cells. Several emerging CRISPR tools with high specificity, controllability and efficiency are useful to modify CAR T-cells and identify new targets. In this review we summarize potential uses of the CRISPR system to improve results of CAR T-cells therapy including optimizing efficacy and safety and, developing universal CAR T-cells. We discuss challenges facing CRISPR gene editing and propose solutions highlighting future research directions in CAR T-cell therapy.
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Affiliation(s)
- Tao Lei
- The Second School of Clinical Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510145, China
| | - Yazhuo Wang
- School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | - Yuchen Zhang
- The Second School of Clinical Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510145, China
| | - Yufei Yang
- The Second School of Clinical Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510145, China
| | - Jiaying Cao
- The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510145, China
| | - Jiansong Huang
- The Second School of Clinical Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510145, China
| | - Jiali Chen
- The Second School of Clinical Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, 510145, China
| | - Huajing Chen
- The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510145, China
| | - Jiayi Zhang
- The First School of Clinical Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, 510145, China
| | - Luzheng Wang
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Xinjie Xu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
| | - Robert Peter Gale
- Centre for Haematology, Department of Immunology and Inflammation, Imperial College of Science, Technology and Medicine, London, UK.
| | - Liang Wang
- Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
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6
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Piedade AP, Butler J, Eyre S, Orozco G. The importance of functional genomics studies in precision rheumatology. Best Pract Res Clin Rheumatol 2024; 38:101988. [PMID: 39174375 DOI: 10.1016/j.berh.2024.101988] [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: 04/30/2024] [Revised: 08/04/2024] [Accepted: 08/07/2024] [Indexed: 08/24/2024]
Abstract
Rheumatic diseases, those that affect the musculoskeletal system, cause significant morbidity. Among risk factors of these diseases is a significant genetic component. Recent advances in high-throughput omics techniques now allow a comprehensive profiling of patients at a genetic level through genome-wide association studies. Without functional interpretation of variants identified through these studies, clinical insight remains limited. Strategies include statistical fine-mapping that refine the list of variants in loci associated with disease, whilst colocalization techniques attempt to attribute function to variants that overlap a genetically active chromatin annotation. Functional validation using genome editing techniques can be used to further refine genetic signals and identify key pathways in cell types relevant to rheumatic disease biology. Insight gained from the combination of genetic studies and functional validation can be used to improve precision medicine in rheumatic diseases by allowing risk prediction and drug repositioning.
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Affiliation(s)
- Ana Pires Piedade
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK; NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
| | - Jake Butler
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK; NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
| | - Stephen Eyre
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK; NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
| | - Gisela Orozco
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK; NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
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7
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Zhang Y, Xu Q, Gao Z, Zhang H, Xie X, Li M. High-throughput screening for optimizing adoptive T cell therapies. Exp Hematol Oncol 2024; 13:113. [PMID: 39538305 PMCID: PMC11562648 DOI: 10.1186/s40164-024-00580-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 11/04/2024] [Indexed: 11/16/2024] Open
Abstract
Adoptive T cell therapy is a pivotal strategy in cancer immunotherapy, demonstrating potent clinical efficacy. However, its limited durability often results in primary resistance. High-throughput screening technologies, which include both genetic and non-genetic approaches, facilitate the optimization of adoptive T cell therapies by enabling the selection of biologically significant targets or substances from extensive libraries. In this review, we examine advancements in high-throughput screening technologies and their applications in adoptive T cell therapies. We highlight the use of genetic screening for T cells, tumor cells, and other promising combination strategies, and elucidate the role of non-genetic screening in identifying small molecules and targeted delivery systems relevant to adoptive T cell therapies, providing guidance for future research and clinical applications.
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Affiliation(s)
- Yuchen Zhang
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China
| | - Qinglong Xu
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China
| | - Zhifei Gao
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China
| | - Honghao Zhang
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China
| | - Xiaoling Xie
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China.
| | - Meifang Li
- Department of Hematology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, People's Republic of China.
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8
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Haag SM, Xie S, Eidenschenk C, Fortin JP, Callow M, Costa M, Lun A, Cox C, Wu SZ, Pradhan RN, Lock J, Kuhn JA, Holokai L, Thai M, Freund E, Nissenbaum A, Keir M, Bohlen CJ, Martin S, Geiger-Schuller K, Hejase HA, Yaspan BL, Melo Carlos S, Turley SJ, Murthy A. Systematic perturbation screens identify regulators of inflammatory macrophage states and a role for TNF mRNA m6A modification. Nat Genet 2024; 56:2493-2505. [PMID: 39443811 DOI: 10.1038/s41588-024-01962-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2023] [Accepted: 09/26/2024] [Indexed: 10/25/2024]
Abstract
Macrophages exhibit remarkable functional plasticity, a requirement for their central role in tissue homeostasis. During chronic inflammation, macrophages acquire sustained inflammatory 'states' that contribute to disease, but there is limited understanding of the regulatory mechanisms that drive their generation. Here we describe a systematic functional genomics approach that combines genome-wide phenotypic screening in primary murine macrophages with transcriptional and cytokine profiling of genetic perturbations in primary human macrophages to uncover regulatory circuits of inflammatory states. This process identifies regulators of five distinct states associated with key features of macrophage function. Among these regulators, loss of the N6-methyladenosine (m6A) writer components abolishes m6A modification of TNF transcripts, thereby enhancing mRNA stability and TNF production associated with multiple inflammatory pathologies. Thus, phenotypic characterization of primary murine and human macrophages describes the regulatory circuits underlying distinct inflammatory states, revealing post-transcriptional control of TNF mRNA stability as an immunosuppressive mechanism in innate immunity.
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Affiliation(s)
| | - Shiqi Xie
- Genentech Inc., South San Francisco, CA, USA
| | | | | | | | - Mike Costa
- Genentech Inc., South San Francisco, CA, USA
| | - Aaron Lun
- Genentech Inc., South San Francisco, CA, USA
| | - Chris Cox
- Genentech Inc., South San Francisco, CA, USA
| | - Sunny Z Wu
- Genentech Inc., South San Francisco, CA, USA
| | | | - Jaclyn Lock
- Genentech Inc., South San Francisco, CA, USA
- Sana Biotechnology Inc., South San Francisco, CA, USA
| | - Julia A Kuhn
- Genentech Inc., South San Francisco, CA, USA
- Alector Therapeutics, South San Francisco, CA, USA
| | | | - Minh Thai
- Genentech Inc., South San Francisco, CA, USA
| | | | | | - Mary Keir
- Genentech Inc., South San Francisco, CA, USA
| | | | | | | | | | | | | | | | - Aditya Murthy
- Genentech Inc., South San Francisco, CA, USA.
- Gilead Sciences, Foster City, CA, USA.
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9
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Yang Y, Liu N, Gong L. An overview of the functions and mechanisms of APOBEC3A in tumorigenesis. Acta Pharm Sin B 2024; 14:4637-4648. [PMID: 39664421 PMCID: PMC11628810 DOI: 10.1016/j.apsb.2024.08.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 06/06/2024] [Accepted: 07/26/2024] [Indexed: 12/13/2024] Open
Abstract
The APOBEC3 (A3) family plays a pivotal role in the immune system by performing DNA/RNA single-strand deamination. Cancers mostly arise from the accumulation of chronic mutations in somatic cells, and recent research has highlighted the A3 family as a major contributor to tumor-associated mutations, with A3A being a key driver gene leading to cancer-related mutations. A3A helps to defend the host against virus-induced tumors by editing the genome of cancer-associated viruses that invade the host. However, when it is abnormally expressed, it leads to persistent, chronic mutations in the genome, thereby fueling tumorigenesis. Notably, A3A is prominently expressed in innate immune cells, particularly macrophages, thereby affecting the functional state of tumor-infiltrating immune cells and tumor growth. Furthermore, the expression of A3A in tumor cells may directly affect their proliferation and migration. A growing body of research has unveiled that A3A is closely related to various cancers, which signifies the potential significance of A3A in cancer therapy. This paper mainly classifies and summarizes the evidence of the relationship between A3A and tumorigenesis based on the potential mechanisms, aiming to provide valuable references for further research on the functions of A3A and its development in the area of cancer therapy.
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Affiliation(s)
- Yuqi Yang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Nan Liu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Likun Gong
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China
- University of Chinese Academy of Sciences, Beijing 100049, China
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10
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Batra SS, Cabrera A, Spence JP, Goell J, Anand SS, Hilton IB, Song YS. Predicting the effect of CRISPR-Cas9-based epigenome editing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.10.03.560674. [PMID: 37873127 PMCID: PMC10592942 DOI: 10.1101/2023.10.03.560674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Epigenetic regulation orchestrates mammalian transcription, but functional links between them remain elusive. To tackle this problem, we use epigenomic and transcriptomic data from 13 ENCODE cell types to train machine learning models to predict gene expression from histone post-translational modifications (PTMs), achieving transcriptome-wide correlations of ~ 0.70 - 0.79 for most cell types. Our models recapitulate known associations between histone PTMs and expression patterns, including predicting that acetylation of histone subunit H3 lysine residue 27 (H3K27ac) near the transcription start site (TSS) significantly increases expression levels. To validate this prediction experimentally and investigate how natural vs. engineered deposition of H3K27ac might differentially affect expression, we apply the synthetic dCas9-p300 histone acetyltransferase system to 8 genes in the HEK293T cell line and to 5 genes in the K562 cell line. Further, to facilitate model building, we perform MNase-seq to map genome-wide nucleosome occupancy levels in HEK293T. We observe that our models perform well in accurately ranking relative fold-changes among genes in response to the dCas9-p300 system; however, their ability to rank fold-changes within individual genes is noticeably diminished compared to predicting expression across cell types from their native epigenetic signatures. Our findings highlight the need for more comprehensive genome-scale epigenome editing datasets, better understanding of the actual modifications made by epigenome editing tools, and improved causal models that transfer better from endogenous cellular measurements to perturbation experiments. Together these improvements would facilitate the ability to understand and predictably control the dynamic human epigenome with consequences for human health.
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Affiliation(s)
- Sanjit Singh Batra
- Equally contributing authors
- Computer Science Division, University of California, Berkeley, CA 94720
| | - Alan Cabrera
- Equally contributing authors
- Department of Bioengineering, Rice University, TX 77005
| | - Jeffrey P. Spence
- Equally contributing authors
- Department of Genetics, Stanford University, CA 94305
| | - Jacob Goell
- Department of Bioengineering, Rice University, TX 77005
| | - Selvalakshmi S. Anand
- Systems, Synthetic, and Physical Biology Graduate Program, Rice University, TX 77005
| | - Isaac B. Hilton
- Department of Bioengineering, Rice University, TX 77005
- Systems, Synthetic, and Physical Biology Graduate Program, Rice University, TX 77005
| | - Yun S. Song
- Computer Science Division, University of California, Berkeley, CA 94720
- Department of Statistics, University of California, Berkeley, CA 94720
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11
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Ho CH, Dippel MA, McQuade MS, Mishra A, Pribitzer S, Nguyen LP, Hardy S, Chandok H, Chardon F, McDiarmid TA, DeBerg HA, Buckner JH, Shendure J, de Boer CG, Guo MH, Tewhey R, Ray JP. Linking candidate causal autoimmune variants to T cell networks using genetic and epigenetic screens in primary human T cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.07.617092. [PMID: 39416200 PMCID: PMC11482744 DOI: 10.1101/2024.10.07.617092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2024]
Abstract
Genetic variants associated with autoimmune diseases are highly enriched within putative cis -regulatory regions of CD4 + T cells, suggesting that they alter disease risk via changes in gene regulation. However, very few genetic variants have been shown to affect T cell gene expression or function. We tested >18,000 autoimmune disease-associated variants for allele-specific expression using massively parallel reporter assays in primary human CD4 + T cells. The 545 expression-modulating variants (emVars) identified greatly enrich for likely causal variants. We provide evidence that many emVars are mediated by common upstream regulatory conduits, and that putative target genes of primary T cell emVars are highly enriched within a lymphocyte activation network. Using bulk and single-cell CRISPR-interference screens, we confirm that emVar-containing T cell cis -regulatory elements modulate both known and novel target genes that regulate T cell proliferation, providing plausible mechanisms by which these variants alter autoimmune disease risk.
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12
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Gao Y, Wei Z, Dong K, Chen K, Yang J, Chuai G, Liu Q. Toward subtask-decomposition-based learning and benchmarking for predicting genetic perturbation outcomes and beyond. NATURE COMPUTATIONAL SCIENCE 2024; 4:773-785. [PMID: 39333790 DOI: 10.1038/s43588-024-00698-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Accepted: 08/29/2024] [Indexed: 09/30/2024]
Abstract
Deciphering cellular responses to genetic perturbations is fundamental for a wide array of biomedical applications. However, there are three main challenges: predicting single-genetic-perturbation outcomes, predicting multiple-genetic-perturbation outcomes and predicting genetic outcomes across cell lines. Here we introduce Subtask Decomposition Modeling for Genetic Perturbation Prediction (STAMP), a flexible artificial intelligence strategy for genetic perturbation outcome prediction and downstream applications. STAMP formulates genetic perturbation prediction as a subtask decomposition problem by resolving three progressive subtasks in a problem decomposition manner, that is, identifying postperturbation differentially expressed genes, determining the expression change directions of differentially expressed genes and finally estimating the magnitudes of gene expression changes. STAMP exhibits a substantial improvement over the existing approaches on three subtasks and beyond, including the ability to identify key regulatory genes and pathways on small samples and to reveal precise genetic interactions of diverse types.
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Affiliation(s)
- Yicheng Gao
- State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Zhiting Wei
- State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Kejing Dong
- State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Ke Chen
- State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China
| | - Jingya Yang
- State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, China
| | - Guohui Chuai
- State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, China
| | - Qi Liu
- State Key Laboratory of Cardiology and Medical Innovation Center, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China.
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration (Tongji University), Ministry of Education, Orthopaedic Department of Tongji Hospital, Frontier Science Center for Stem Cell Research, Bioinformatics Department, School of Life Sciences and Technology, Tongji University, Shanghai, China.
- Shanghai Research Institute for Intelligent Autonomous Systems, Shanghai, China.
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13
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Li JH. CRISPR-based approaches for studying inborn errors of immunity. Clin Transl Med 2024; 14:e70021. [PMID: 39370702 PMCID: PMC11456690 DOI: 10.1002/ctm2.70021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Accepted: 09/01/2024] [Indexed: 10/08/2024] Open
Affiliation(s)
- Joey H. Li
- Department of MicrobiologyImmunology, and Molecular GeneticsDavid Geffen School of Medicine at UCLALos AngelesCaliforniaUSA
- Molecular Biology InstituteUniversity of CaliforniaLos AngelesLos AngelesCaliforniaUSA
- Medical Scientist Training ProgramDavid Geffen School of Medicine at UCLALos AngelesCaliforniaUSA
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14
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Srinivasan S, Armitage J, Nilsson J, Waithman J. Transcriptional rewiring in CD8 + T cells: implications for CAR-T cell therapy against solid tumours. Front Immunol 2024; 15:1412731. [PMID: 39399500 PMCID: PMC11466849 DOI: 10.3389/fimmu.2024.1412731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Accepted: 09/10/2024] [Indexed: 10/15/2024] Open
Abstract
T cells engineered to express chimeric-antigen receptors (CAR-T cells) can effectively control relapsed and refractory haematological malignancies in the clinic. However, the successes of CAR-T cell therapy have not been recapitulated in solid tumours due to a range of barriers such as immunosuppression, poor infiltration, and tumour heterogeneity. Numerous strategies are being developed to overcome these barriers, which include improving culture conditions and manufacturing protocols, implementing novel CAR designs, and novel approaches to engineering the T cell phenotype. In this review, we describe the various emerging strategies to improve CAR T cell therapy for solid tumours. We specifically focus on new strategies to modulate cell function and fate that have precipitated from the growing knowledge of transcriptional circuits driving T cell differentiation, with the ultimate goal of driving more productive anti-tumour T cell immunity. Evidence shows that enrichment of particular phenotypic subsets of T cells in the initial cell product correlates to improved therapeutic responses and clinical outcomes. Furthermore, T cell exhaustion and poor persistence are major factors limiting therapeutic efficacy. The latest preclinical work shows that targeting specific master regulators and transcription factors can overcome these key barriers, resulting in superior T cell therapeutic products. This can be achieved by targeting key transcriptional circuits promoting memory-like phenotypes or sustaining key effector functions within the hostile tumour microenvironment. Additional discussion points include emerging considerations for the field such as (i) targeting permutations of transcription factors, (ii) transient expression systems, (iii) tissue specificity, and (iv) expanding this strategy beyond CAR-T cell therapy and cancer.
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Affiliation(s)
- Shamini Srinivasan
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
| | - Jesse Armitage
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
- Telethon Kids Cancer Centre, Telethon Kids Institute, Perth, WA, Australia
| | - Jonas Nilsson
- Melanoma Discovery Lab, Harry Perkins Institute of Medical Research, Centre of Medical Research, The University of Western Australia, Perth, WA, Australia
- Sahlgrenska Center for Cancer Research, Department of Surgery, Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Jason Waithman
- School of Biomedical Sciences, The University of Western Australia, Perth, WA, Australia
- Telethon Kids Cancer Centre, Telethon Kids Institute, Perth, WA, Australia
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15
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Chai T, Loh KM, Weissman IL. TMX1, a disulfide oxidoreductase, is necessary for T cell function through regulation of CD3ζ. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.22.614388. [PMID: 39386445 PMCID: PMC11463681 DOI: 10.1101/2024.09.22.614388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 10/12/2024]
Abstract
T cell-targeted therapies are commonly used to manage T cell hyperactivity in autoimmune disorders, graft-versus-host diseases (GVHD), and transplant rejections. However, many patients experience significant side effects or inadequate responses to current treatments, highlighting the urgent need for alternative strategies. In this study, we searched for regulators of T cells through proximity labeling with APEX2 to detect proteins interacting with CD8α, a coreceptor of the T-cell receptor (TCR). This screen revealed TMX1, an ER resident transmembrane disulfide oxidoreductase, is essential for T cell cytotoxicity and NFAT, NFκB, and AP1 signaling but not cell proliferation. TMX1 deletion decreases surface TCR expression and destabilizes CD3ζ, a subunit of TCR complex; however, overexpression of CD3ζ rescues the phenotype, suggesting that TMX1 is not required for CD3ζ function. Mechanistically, TMX1 was found to directly engage the CxxC motif of CD3δ, which has been reported to be essential for proper TCR assembly and function. We hypothesize that the loss of TMX1 interaction with CD3δ leads to impaired TCR assembly and subsequent CD3ζ destabilization. These findings identify TMX1 as a novel regulator of T-cell receptor assembly and a potential target for immunosuppressive therapy.
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Affiliation(s)
- Timothy Chai
- Institute for Stem Cell Biology & Regenerative Medicine, Stanford University, Stanford, CA 94305, USA
| | - Kyle M. Loh
- Department of Developmental Biology, Stanford University, Stanford, CA 94305, USA
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
| | - Irving L. Weissman
- Institute for Stem Cell Biology & Regenerative Medicine, Stanford University, Stanford, CA 94305, USA
- Department of Pathology, Stanford University, Stanford, CA 94305, USA
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16
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Pahl MC, Sharma P, Thomas RM, Thompson Z, Mount Z, Pippin JA, Morawski PA, Sun P, Su C, Campbell D, Grant SFA, Wells AD. Dynamic chromatin architecture identifies new autoimmune-associated enhancers for IL2 and novel genes regulating CD4+ T cell activation. eLife 2024; 13:RP96852. [PMID: 39302339 PMCID: PMC11418197 DOI: 10.7554/elife.96852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/22/2024] Open
Abstract
Genome-wide association studies (GWAS) have identified hundreds of genetic signals associated with autoimmune disease. The majority of these signals are located in non-coding regions and likely impact cis-regulatory elements (cRE). Because cRE function is dynamic across cell types and states, profiling the epigenetic status of cRE across physiological processes is necessary to characterize the molecular mechanisms by which autoimmune variants contribute to disease risk. We localized risk variants from 15 autoimmune GWAS to cRE active during TCR-CD28 co-stimulation of naïve human CD4+ T cells. To characterize how dynamic changes in gene expression correlate with cRE activity, we measured transcript levels, chromatin accessibility, and promoter-cRE contacts across three phases of naive CD4+ T cell activation using RNA-seq, ATAC-seq, and HiC. We identified ~1200 protein-coding genes physically connected to accessible disease-associated variants at 423 GWAS signals, at least one-third of which are dynamically regulated by activation. From these maps, we functionally validated a novel stretch of evolutionarily conserved intergenic enhancers whose activity is required for activation-induced IL2 gene expression in human and mouse, and is influenced by autoimmune-associated genetic variation. The set of genes implicated by this approach are enriched for genes controlling CD4+ T cell function and genes involved in human inborn errors of immunity, and we pharmacologically validated eight implicated genes as novel regulators of T cell activation. These studies directly show how autoimmune variants and the genes they regulate influence processes involved in CD4+ T cell proliferation and activation.
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Affiliation(s)
- Matthew C Pahl
- Center for Spatial and Functional Genomics, Children's Hospital of PhiladelphiaPhiladelphiaUnited States
- Division of Human Genetics, The Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
| | - Prabhat Sharma
- Center for Spatial and Functional Genomics, Children's Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Pathology, The Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
| | - Rajan M Thomas
- Center for Spatial and Functional Genomics, Children's Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Pathology, The Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
| | - Zachary Thompson
- Center for Spatial and Functional Genomics, Children's Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Pathology, The Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
| | - Zachary Mount
- Center for Spatial and Functional Genomics, Children's Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Pathology, The Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
| | - James A Pippin
- Center for Spatial and Functional Genomics, Children's Hospital of PhiladelphiaPhiladelphiaUnited States
- Division of Human Genetics, The Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
| | - Peter A Morawski
- Benaroya Research Institute at Virginia MasonSeattleUnited States
| | - Peng Sun
- Center for Spatial and Functional Genomics, Children's Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Pathology, The Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
| | - Chun Su
- Center for Spatial and Functional Genomics, Children's Hospital of PhiladelphiaPhiladelphiaUnited States
- Division of Human Genetics, The Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
| | - Daniel Campbell
- Benaroya Research Institute at Virginia MasonSeattleUnited States
- Department of Immunology, University of Washington School of MedicineSeattleUnited States
| | - Struan FA Grant
- Center for Spatial and Functional Genomics, Children's Hospital of PhiladelphiaPhiladelphiaUnited States
- Division of Human Genetics, The Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Genetics, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
- Department of Pediatrics, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
- Division of Endocrinology and Diabetes, The Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
| | - Andrew D Wells
- Center for Spatial and Functional Genomics, Children's Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Pathology, The Children’s Hospital of PhiladelphiaPhiladelphiaUnited States
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
- Institute for Immunology, Perelman School of Medicine, University of PennsylvaniaPhiladelphiaUnited States
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17
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Chardon FM, McDiarmid TA, Page NF, Daza RM, Martin BK, Domcke S, Regalado SG, Lalanne JB, Calderon D, Li X, Starita LM, Sanders SJ, Ahituv N, Shendure J. Multiplex, single-cell CRISPRa screening for cell type specific regulatory elements. Nat Commun 2024; 15:8209. [PMID: 39294132 PMCID: PMC11411074 DOI: 10.1038/s41467-024-52490-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 09/10/2024] [Indexed: 09/20/2024] Open
Abstract
CRISPR-based gene activation (CRISPRa) is a strategy for upregulating gene expression by targeting promoters or enhancers in a tissue/cell-type specific manner. Here, we describe an experimental framework that combines highly multiplexed perturbations with single-cell RNA sequencing (sc-RNA-seq) to identify cell-type-specific, CRISPRa-responsive cis-regulatory elements and the gene(s) they regulate. Random combinations of many gRNAs are introduced to each of many cells, which are then profiled and partitioned into test and control groups to test for effect(s) of CRISPRa perturbations of both enhancers and promoters on the expression of neighboring genes. Applying this method to a library of 493 gRNAs targeting candidate cis-regulatory elements in both K562 cells and iPSC-derived excitatory neurons, we identify gRNAs capable of specifically upregulating intended target genes and no other neighboring genes within 1 Mb, including gRNAs yielding upregulation of six autism spectrum disorder (ASD) and neurodevelopmental disorder (NDD) risk genes in neurons. A consistent pattern is that the responsiveness of individual enhancers to CRISPRa is restricted by cell type, implying a dependency on either chromatin landscape and/or additional trans-acting factors for successful gene activation. The approach outlined here may facilitate large-scale screens for gRNAs that activate genes in a cell type-specific manner.
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Affiliation(s)
- Florence M Chardon
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Troy A McDiarmid
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Nicholas F Page
- Department of Psychiatry and Behavioral Sciences, Kavli Institute for Fundamental Neuroscience, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
| | - Riza M Daza
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Beth K Martin
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Silvia Domcke
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Samuel G Regalado
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | | | - Diego Calderon
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Xiaoyi Li
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Seattle Hub for Synthetic Biology, Seattle, WA, USA
| | - Lea M Starita
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA
| | - Stephan J Sanders
- Department of Psychiatry and Behavioral Sciences, Kavli Institute for Fundamental Neuroscience, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
- Institute of Developmental and Regenerative Medicine, Department of Paediatrics, University of Oxford, Oxford, OX3 7TY, UK
| | - Nadav Ahituv
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
| | - Jay Shendure
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- Seattle Hub for Synthetic Biology, Seattle, WA, USA.
- Brotman Baty Institute for Precision Medicine, Seattle, WA, USA.
- Howard Hughes Medical Institute, Seattle, WA, USA.
- Allen Discovery Center for Cell Lineage Tracing, Seattle, WA, USA.
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18
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Karginov TA, Ménoret A, Leclair NK, Harrison AG, Chandiran K, Suarez-Ramirez JE, Yurieva M, Karlinsey K, Wang P, O'Neill RJ, Murphy PA, Adler AJ, Cauley LS, Anczuków O, Zhou B, Vella AT. Autoregulated splicing of TRA2β programs T cell fate in response to antigen-receptor stimulation. Science 2024; 385:eadj1979. [PMID: 39265028 DOI: 10.1126/science.adj1979] [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: 06/22/2023] [Revised: 03/13/2024] [Accepted: 07/09/2024] [Indexed: 09/14/2024]
Abstract
T cell receptor (TCR) sensitivity to peptide-major histocompatibility complex (MHC) dictates T cell fate. Canonical models of TCR sensitivity cannot be fully explained by transcriptional regulation. In this work, we identify a posttranscriptional regulatory mechanism of TCR sensitivity that guides alternative splicing of TCR signaling transcripts through an evolutionarily ultraconserved poison exon (PE) in the RNA-binding protein (RBP) TRA2β in mouse and human. TRA2β-PE splicing, seen during cancer and infection, was required for TCR-induced effector T cell expansion and function. Tra2β-PE skipping enhanced T cell response to antigen by increasing TCR sensitivity. As antigen levels decreased, Tra2β-PE reinclusion allowed T cell survival. Finally, we found that TRA2β-PE was first included in the genome of jawed vertebrates that were capable of TCR gene rearrangements. We propose that TRA2β-PE splicing acts as a gatekeeper of TCR sensitivity to shape T cell fate.
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Affiliation(s)
- Timofey A Karginov
- Department of Immunology, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
| | - Antoine Ménoret
- Department of Immunology, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
| | - Nathan K Leclair
- Department of Genetics and Genome Sciences, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06030, USA
| | - Andrew G Harrison
- Department of Immunology, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
| | - Karthik Chandiran
- Department of Immunology, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
| | - Jenny E Suarez-Ramirez
- Department of Immunology, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
| | - Marina Yurieva
- The Jackson Laboratory for Genomic Medicine, Farmington, CT 06030, USA
| | - Keaton Karlinsey
- Department of Immunology, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
| | - Penghua Wang
- Department of Immunology, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
| | - Rachel J O'Neill
- Department of Genetics and Genome Sciences, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT 06269, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269, USA
| | - Patrick A Murphy
- Center for Vascular Biology, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
| | - Adam J Adler
- Department of Immunology, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
| | - Linda S Cauley
- Department of Immunology, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
| | - Olga Anczuków
- Department of Genetics and Genome Sciences, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT 06269, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269, USA
| | - Beiyan Zhou
- Department of Immunology, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
- Institute for Systems Genomics, University of Connecticut, Storrs, CT 06269, USA
| | - Anthony T Vella
- Department of Immunology, School of Medicine, University of Connecticut, UConn Health, Farmington, CT 06030, USA
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19
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Martin-Rufino JD, Caulier A, Lee S, Castano N, King E, Joubran S, Jones M, Goldman SR, Arora UP, Wahlster L, Lander ES, Sankaran VG. Transcription factor networks disproportionately enrich for heritability of blood cell phenotypes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.09.09.611392. [PMID: 39314298 PMCID: PMC11419094 DOI: 10.1101/2024.09.09.611392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
Most phenotype-associated genetic variants map to non-coding regulatory regions of the human genome. Moreover, variants associated with blood cell phenotypes are enriched in regulatory regions active during hematopoiesis. To systematically explore the nature of these regions, we developed a highly efficient strategy, Perturb-multiome, that makes it possible to simultaneously profile both chromatin accessibility and gene expression in single cells with CRISPR-mediated perturbation of a range of master transcription factors (TFs). This approach allowed us to examine the connection between TFs, accessible regions, and gene expression across the genome throughout hematopoietic differentiation. We discovered that variants within the TF-sensitive accessible chromatin regions, while representing less than 0.3% of the genome, show a ~100-fold enrichment in heritability across certain blood cell phenotypes; this enrichment is strikingly higher than for other accessible chromatin regions. Our approach facilitates large-scale mechanistic understanding of phenotype-associated genetic variants by connecting key cis-regulatory elements and their target genes within gene regulatory networks.
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Affiliation(s)
- Jorge Diego Martin-Rufino
- Division of Hematology/Oncology, Boston Children’s Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Boston, MA, USA
- Equally contributed to work
| | - Alexis Caulier
- Division of Hematology/Oncology, Boston Children’s Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Boston, MA, USA
- Equally contributed to work
| | - Seayoung Lee
- Broad Institute of MIT and Harvard, Boston, MA, USA
- Equally contributed to work
| | - Nicole Castano
- Division of Hematology/Oncology, Boston Children’s Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Boston, MA, USA
- Equally contributed to work
| | - Emily King
- Division of Hematology/Oncology, Boston Children’s Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Samantha Joubran
- Division of Hematology/Oncology, Boston Children’s Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Marcus Jones
- Nascent Transcriptomics Core, Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA
| | - Seth R. Goldman
- Nascent Transcriptomics Core, Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA
| | - Uma P. Arora
- Division of Hematology/Oncology, Boston Children’s Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Lara Wahlster
- Division of Hematology/Oncology, Boston Children’s Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Eric S. Lander
- Broad Institute of MIT and Harvard, Boston, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Vijay G. Sankaran
- Division of Hematology/Oncology, Boston Children’s Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Boston, MA, USA
- Howard Hughes Medical Institute, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
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20
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Umhoefer JM, Arce MM, Dajani R, Belk JA, Mowery CT, Nguyen V, Gowen BG, Simeonov DR, Curie GL, Corn JE, Chang HY, Marson A. Deciphering regulation of FOXP3 expression in human conventional T cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.30.610436. [PMID: 39282425 PMCID: PMC11398386 DOI: 10.1101/2024.08.30.610436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 09/21/2024]
Abstract
FOXP3 is a lineage-defining transcription factor that controls differentiation and maintenance of suppressive function of regulatory T cells (Tregs). Foxp3 is exclusively expressed in Tregs in mice. However, in humans, FOXP3 is not only constitutively expressed in Tregs; it is also transiently expressed in stimulated CD4+CD25- conventional T cells (Tconvs)1-3. Mechanisms governing the expression of FOXP3 in human Tconvs are not understood. Here, we performed CRISPR interference (CRISPRi) screens using a 15K-member gRNA library tiling 39 kb downstream of the FOXP3 transcriptional start site (TSS) to 85 kb upstream of the TSS in Treg and Tconvs. The FOXP3 promoter and conserved non-coding sequences (CNS0, CNS1, CNS2 and CNS3), characterized as enhancer elements in murine Tregs, were required for maintenance of FOXP3 in human Tregs. In contrast, FOXP3 in human Tconvs depended on regulation at CNS0 and a novel Tconv-specific noncoding sequence (TcNS+) located upstream of CNS0. Arrayed validations of these sites identified an additional repressive cis-element overlapping with the PPP1R3F promoter (TcNS-). Pooled CRISPR knockouts revealed multiple transcription factors required for proper expression of FOXP3 in Tconvs, including GATA3, STAT5, IRF4, ETS1 and DNA methylation-associated regulators DNMT1 and MBD2. Analysis of ChIP-seq and ATAC-seq paired with knock-out (KO) of GATA3, STAT5, IRF4, and ETS1 revealed regulation of CNS0 and TcNS+ accessibility. Collectively, this work identified Treg-shared and Tconv-specific cis-elements and the trans-factors that interact with them, building a network of regulators controlling FOXP3 expression in human Tconvs.
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Affiliation(s)
- Jennifer M. Umhoefer
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
- Biomedical Sciences graduate program, University of California, San Francisco, CA, USA
| | - Maya M. Arce
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
- Biomedical Sciences graduate program, University of California, San Francisco, CA, USA
| | - Rama Dajani
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Julia A. Belk
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
| | - Cody T. Mowery
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
- Biomedical Sciences graduate program, University of California, San Francisco, CA, USA
| | - Vinh Nguyen
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
- Diabetes Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Surgery, University of California, San Francisco, San Francisco, CA, USA
- UCSF CoLabs, University of California, San Francisco, San Francisco, CA, USA
| | - Benjamin G. Gowen
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Dimitre R. Simeonov
- Department of Medicine, University of California, San Francisco, CA, USA
- Biomedical Sciences graduate program, University of California, San Francisco, CA, USA
| | - Gemma L. Curie
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Jacob E. Corn
- Department of Biology, Institute of Molecular Health Sciences, ETH Zürich, Switzerland
| | - Howard Y. Chang
- Center for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA
| | - Alexander Marson
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, CA, USA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, CA, USA
- Institute for Human Genetics, University of California, San Francisco, CA, USA
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21
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Ng BW, Kaukonen MK, McClements ME, Shamsnajafabadi H, MacLaren RE, Cehajic-Kapetanovic J. Genetic therapies and potential therapeutic applications of CRISPR activators in the eye. Prog Retin Eye Res 2024; 102:101289. [PMID: 39127142 DOI: 10.1016/j.preteyeres.2024.101289] [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: 06/06/2024] [Revised: 08/05/2024] [Accepted: 08/06/2024] [Indexed: 08/12/2024]
Abstract
Conventional gene therapy involving supplementation only treats loss-of-function diseases and is limited by viral packaging sizes, precluding therapy of large genes. The discovery of CRISPR/Cas has led to a paradigm shift in the field of genetic therapy, with the promise of precise gene editing, thus broadening the range of diseases that can be treated. The initial uses of CRISPR/Cas have focused mainly on gene editing or silencing of abnormal variants via utilising Cas endonuclease to trigger the target cell endogenous non-homologous end joining. Subsequently, the technology has evolved to modify the Cas enzyme and even its guide RNA, leading to more efficient editing tools in the form of base and prime editing. Further advancements of this CRISPR/Cas technology itself have expanded its functional repertoire from targeted editing to programmable transactivation, shifting the therapeutic focus to precise endogenous gene activation or upregulation with the potential for epigenetic modifications. In vivo experiments using this platform have demonstrated the potential of CRISPR-activators (CRISPRa) to treat various loss-of-function diseases, as well as in regenerative medicine, highlighting their versatility to overcome limitations associated with conventional strategies. This review summarises the molecular mechanisms of CRISPRa platforms, the current applications of this technology in vivo, and discusses potential solutions to translational hurdles for this therapy, with a focus on ophthalmic diseases.
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Affiliation(s)
- Benjamin Wj Ng
- Oxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Maria K Kaukonen
- Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford, UK; Department of Medical and Clinical Genetics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Michelle E McClements
- Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Hoda Shamsnajafabadi
- Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Robert E MacLaren
- Oxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Jasmina Cehajic-Kapetanovic
- Oxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, UK; Nuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK; NIHR Oxford Biomedical Research Centre, Oxford, UK.
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22
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Chen H, Venkatesh MS, Ortega JG, Mahesh SV, Nandi TN, Madduri RK, Pelka K, Theodoris CV. Quantized multi-task learning for context-specific representations of gene network dynamics. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.08.16.608180. [PMID: 39229018 PMCID: PMC11370383 DOI: 10.1101/2024.08.16.608180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/05/2024]
Abstract
While often represented as static entities, gene networks are highly context-dependent. Here, we developed a multi-task learning strategy to yield context-specific representations of gene network dynamics. We assembled a corpus comprising ~103 million human single-cell transcriptomes from a broad range of tissues and diseases and performed a two stage pretraining, first with non-malignant cells to generate a foundational model and then with continual learning on cancer cells to tune the model to the cancer domain. We performed multi-task learning with the foundational model to learn context-specific representations of a broad range of cell types, tissues, developmental stages, and diseases. We then leveraged the cancer-tuned model to jointly learn cell states and predict tumor-restricting factors within the colorectal tumor microenvironment. Model quantization allowed resource-efficient fine-tuning and inference while preserving biological knowledge. Overall, multi-task learning enables context-specific disease modeling that can yield contextual predictions of candidate therapeutic targets for human disease.
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Affiliation(s)
- Han Chen
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Gladstone-University of California, San Francisco (UCSF) Institute of Genomic Immunology, San Francisco, CA, USA
- Gladstone Institute of Cardiovascular Disease, San Francisco, CA, USA
- Biological and Medical Informatics Graduate Program, UCSF, San Francisco, CA, USA
| | - Madhavan S. Venkatesh
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Gladstone Institute of Cardiovascular Disease, San Francisco, CA, USA
- Department of Computational and Systems Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Javier Gómez Ortega
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Gladstone Institute of Cardiovascular Disease, San Francisco, CA, USA
| | - Siddharth V. Mahesh
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Gladstone Institute of Cardiovascular Disease, San Francisco, CA, USA
- Biological and Medical Informatics Graduate Program, UCSF, San Francisco, CA, USA
| | - Tarak N. Nandi
- Data Science and Learning, Argonne National Laboratory, Lemont, IL, USA
| | - Ravi K. Madduri
- Data Science and Learning, Argonne National Laboratory, Lemont, IL, USA
| | - Karin Pelka
- Gladstone-University of California, San Francisco (UCSF) Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Microbiology and Immunology, UCSF, San Francisco, CA, USA
| | - Christina V. Theodoris
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Gladstone Institute of Cardiovascular Disease, San Francisco, CA, USA
- Biological and Medical Informatics Graduate Program, UCSF, San Francisco, CA, USA
- Department of Pediatrics, UCSF, San Francisco, CA, USA
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23
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Liu B, Hu S, Wang X. Applications of single-cell technologies in drug discovery for tumor treatment. iScience 2024; 27:110486. [PMID: 39171294 PMCID: PMC11338156 DOI: 10.1016/j.isci.2024.110486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/23/2024] Open
Abstract
Single-cell technologies have been known as advanced and powerful tools to study tumor biological systems at the single-cell resolution and are playing increasingly critical roles in multiple stages of drug discovery and development. Specifically, single-cell technologies can promote the discovery of drug targets, help high-throughput screening at single-cell level, and contribute to pharmacokinetic studies of anti-tumor drugs. Emerging single-cell analysis technologies have been developed to further integrating multidimensional single-cell molecular features, expanding the scale of single-cell data, profiling phenotypic impact of genes in single cell, and providing full-length coverage single-cell sequencing. In this review, we systematically summarized the applications of single-cell technologies in various sections of drug discovery for tumor treatment, including target identification, high-throughput drug screening, and pharmacokinetic evaluation and highlighted emerging single-cell technologies in providing in-depth understanding of tumor biology. Single-cell-technology-based drug discovery is expected to further optimize therapeutic strategies and improve clinical outcomes of tumor patients.
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Affiliation(s)
- Bingyu Liu
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, China
| | - Shunfeng Hu
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, China
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Xin Wang
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong 250021, China
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
- Taishan Scholars Program of Shandong Province, Jinan, Shandong 250021, China
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24
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Patterson AR, Needle GA, Sugiura A, Jennings EQ, Chi C, Steiner KK, Fisher EL, Robertson GL, Bodnya C, Markle JG, Sheldon RD, Jones RG, Gama V, Rathmell JC. Functional overlap of inborn errors of immunity and metabolism genes defines T cell metabolic vulnerabilities. Sci Immunol 2024; 9:eadh0368. [PMID: 39151020 PMCID: PMC11590014 DOI: 10.1126/sciimmunol.adh0368] [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: 02/06/2023] [Accepted: 07/25/2024] [Indexed: 08/18/2024]
Abstract
Inborn errors of metabolism (IEMs) and immunity (IEIs) are Mendelian diseases in which complex phenotypes and patient rarity have limited clinical understanding. Whereas few genes have been annotated as contributing to both IEMs and IEIs, immunometabolic demands suggested greater functional overlap. Here, CRISPR screens tested IEM genes for immunologic roles and IEI genes for metabolic effects and found considerable previously unappreciated crossover. Analysis of IEMs showed that N-linked glycosylation and the hexosamine pathway enzyme Gfpt1 are critical for T cell expansion and function. Further, T helper (TH1) cells synthesized uridine diphosphate N-acetylglucosamine more rapidly and were more impaired by Gfpt1 deficiency than TH17 cells. Screening IEI genes found that Bcl11b promotes the CD4 T cell mitochondrial activity and Mcl1 expression necessary to prevent metabolic stress. Thus, a high degree of functional overlap exists between IEM and IEI genes, and immunometabolic mechanisms may underlie a previously underappreciated intersection of these disorders.
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Affiliation(s)
- Andrew R. Patterson
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Gabriel A. Needle
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ayaka Sugiura
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Erin Q. Jennings
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Channing Chi
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - KayLee K. Steiner
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Emilie L. Fisher
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Caroline Bodnya
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, USA
| | - Janet G. Markle
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ryan D. Sheldon
- Mass Spectrometry Core, Core Technologies and Services, Van Andel Institute, Grand Rapids, MI, USA
| | - Russell G. Jones
- Department of Metabolism and Nutritional Programming, Van Andel Research Institute, Grand Rapids, MI, USA
| | - Vivian Gama
- Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, USA
| | - Jeffrey C. Rathmell
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt Center for Immunobiology, Vanderbilt University Medical Center, Nashville, TN, USA
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25
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Schelker RC, Fioravanti J, Mastrogiovanni F, Baldwin JG, Rana N, Li P, Chen P, Vadász T, Spolski R, Heuser-Loy C, Slavkovic-Lukic D, Noronha P, Damiano G, Raccosta L, Maggioni D, Pullugula S, Lin JX, Oh J, Grandinetti P, Lecce M, Hesse L, Kocks E, Martín-Santos A, Gebhard C, Telford WG, Ji Y, Restifo NP, Russo V, Rehli M, Herr W, Leonard WJ, Gattinoni L. LIM-domain-only 4 (LMO4) enhances CD8 + T-cell stemness and tumor rejection by boosting IL-21-STAT3 signaling. Signal Transduct Target Ther 2024; 9:199. [PMID: 39117617 PMCID: PMC11310520 DOI: 10.1038/s41392-024-01915-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 06/13/2024] [Accepted: 07/04/2024] [Indexed: 08/10/2024] Open
Abstract
High frequencies of stem-like memory T cells in infusion products correlate with superior patient outcomes across multiple T cell therapy trials. Herein, we analyzed a published CRISPR activation screening to identify transcriptional regulators that could be harnessed to augment stem-like behavior in CD8+ T cells. Using IFN-γ production as a proxy for CD8+ T cell terminal differentiation, LMO4 emerged among the top hits inhibiting the development of effectors cells. Consistently, we found that Lmo4 was downregulated upon CD8+ T cell activation but maintained under culture conditions facilitating the formation of stem-like T cells. By employing a synthetic biology approach to ectopically express LMO4 in antitumor CD8+ T cells, we enabled selective expansion and enhanced persistence of transduced cells, while limiting their terminal differentiation and senescence. LMO4 overexpression promoted transcriptional programs regulating stemness, increasing the numbers of stem-like CD8+ memory T cells and enhancing their polyfunctionality and recall capacity. When tested in syngeneic and xenograft tumor models, LMO4 overexpression boosted CD8+ T cell antitumor immunity, resulting in enhanced tumor regression. Rather than directly modulating gene transcription, LMO4 bound to JAK1 and potentiated STAT3 signaling in response to IL-21, inducing the expression of target genes (Tcf7, Socs3, Junb, and Zfp36) crucial for memory responses. CRISPR/Cas9-deletion of Stat3 nullified the enhanced memory signature conferred by LMO4, thereby abrogating the therapeutic benefit of LMO4 overexpression. These results establish LMO4 overexpression as an effective strategy to boost CD8+ T cell stemness, providing a new synthetic biology tool to bolster the efficacy of T cell-based immunotherapies.
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Affiliation(s)
- Roland C Schelker
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany.
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
- Laboratory of Molecular Immunology and the Immunology Center, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany.
| | - Jessica Fioravanti
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Fabio Mastrogiovanni
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Jeremy G Baldwin
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nisha Rana
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany
- Next Generation Sequencing Core, Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Peng Li
- Laboratory of Molecular Immunology and the Immunology Center, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ping Chen
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Timea Vadász
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Rosanne Spolski
- Laboratory of Molecular Immunology and the Immunology Center, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Christoph Heuser-Loy
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Dragana Slavkovic-Lukic
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Pedro Noronha
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Giuseppe Damiano
- Immuno-Biotherapy of Melanoma and Solid Tumors Unit, Division of Experimental Oncology, IRCCS Scientific Institute San Raffaele, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Laura Raccosta
- Immuno-Biotherapy of Melanoma and Solid Tumors Unit, Division of Experimental Oncology, IRCCS Scientific Institute San Raffaele, Milan, Italy
| | - Daniela Maggioni
- Immuno-Biotherapy of Melanoma and Solid Tumors Unit, Division of Experimental Oncology, IRCCS Scientific Institute San Raffaele, Milan, Italy
| | - Sree Pullugula
- Laboratory of Molecular Immunology and the Immunology Center, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jian-Xin Lin
- Laboratory of Molecular Immunology and the Immunology Center, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jangsuk Oh
- Laboratory of Molecular Immunology and the Immunology Center, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Patrick Grandinetti
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mario Lecce
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Leo Hesse
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany
- University of Regensburg, Regensburg, Germany
| | - Emilia Kocks
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany
- University of Regensburg, Regensburg, Germany
| | - Azucena Martín-Santos
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Claudia Gebhard
- Next Generation Sequencing Core, Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - William G Telford
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yun Ji
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nicholas P Restifo
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Vincenzo Russo
- Immuno-Biotherapy of Melanoma and Solid Tumors Unit, Division of Experimental Oncology, IRCCS Scientific Institute San Raffaele, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Michael Rehli
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
- Next Generation Sequencing Core, Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Wolfgang Herr
- Department of Internal Medicine III, University Hospital Regensburg, Regensburg, Germany
- National Center for Tumor Diseases, WERA Site, Würzburg-Erlangen-Regensburg-Augsburg, Germany
- Center for Immunomedicine in Transplantation and Oncology, University Hospital Regensburg, Regensburg, Germany
| | - Warren J Leonard
- Laboratory of Molecular Immunology and the Immunology Center, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Luca Gattinoni
- Division of Functional Immune Cell Modulation, Leibniz Institute for Immunotherapy, Regensburg, Germany.
- Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
- University of Regensburg, Regensburg, Germany.
- Center for Immunomedicine in Transplantation and Oncology, University Hospital Regensburg, Regensburg, Germany.
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26
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Gao Y, Shonai D, Trn M, Zhao J, Soderblom EJ, Garcia-Moreno SA, Gersbach CA, Wetsel WC, Dawson G, Velmeshev D, Jiang YH, Sloofman LG, Buxbaum JD, Soderling SH. Proximity analysis of native proteomes reveals phenotypic modifiers in a mouse model of autism and related neurodevelopmental conditions. Nat Commun 2024; 15:6801. [PMID: 39122707 PMCID: PMC11316102 DOI: 10.1038/s41467-024-51037-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 07/23/2024] [Indexed: 08/12/2024] Open
Abstract
One of the main drivers of autism spectrum disorder is risk alleles within hundreds of genes, which may interact within shared but unknown protein complexes. Here we develop a scalable genome-editing-mediated approach to target 14 high-confidence autism risk genes within the mouse brain for proximity-based endogenous proteomics, achieving the identification of high-specificity spatial proteomes. The resulting native proximity proteomes are enriched for human genes dysregulated in the brain of autistic individuals, and reveal proximity interactions between proteins from high-confidence risk genes with those of lower-confidence that may provide new avenues to prioritize genetic risk. Importantly, the datasets are enriched for shared cellular functions and genetic interactions that may underlie the condition. We test this notion by spatial proteomics and CRISPR-based regulation of expression in two autism models, demonstrating functional interactions that modulate mechanisms of their dysregulation. Together, these results reveal native proteome networks in vivo relevant to autism, providing new inroads for understanding and manipulating the cellular drivers underpinning its etiology.
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Affiliation(s)
- Yudong Gao
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - Daichi Shonai
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | - Matthew Trn
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA
| | - Jieqing Zhao
- Department of Biology, Duke University, Durham, NC, USA
| | - Erik J Soderblom
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA
- Proteomics and Metabolomics Shared Resource, Duke University School of Medicine, Durham, NC, USA
| | | | - Charles A Gersbach
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
- Center for Advanced Genomic Technologies, Duke University, Durham, NC, USA
- Department of Surgery, Duke University Medical Center, Durham, NC, USA
| | - William C Wetsel
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
- Department of Neurobiology, Duke University School of Medicine, Durham, NC, USA
- Mouse Behavioral and Neuroendocrine Analysis Core Facility, Duke University School of Medicine, Durham, NC, USA
| | - Geraldine Dawson
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Dmitry Velmeshev
- Department of Neurobiology, Duke University School of Medicine, Durham, NC, USA
| | - Yong-Hui Jiang
- Department of Genetics, Yale University School of Medicine, New Haven, Connecticut, USA
- Department of Neuroscience, Yale University School of Medicine, New Haven, Connecticut, USA
- Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Laura G Sloofman
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Joseph D Buxbaum
- Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Scott H Soderling
- Department of Cell Biology, Duke University School of Medicine, Durham, NC, USA.
- Department of Neurobiology, Duke University School of Medicine, Durham, NC, USA.
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Li T, Li S, Kang Y, Zhou J, Yi M. Harnessing the evolving CRISPR/Cas9 for precision oncology. J Transl Med 2024; 22:749. [PMID: 39118151 PMCID: PMC11312220 DOI: 10.1186/s12967-024-05570-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 08/04/2024] [Indexed: 08/10/2024] Open
Abstract
The Clustered Regularly Interspaced Short Palindromic Repeat (CRISPR)/Cas9 system, a groundbreaking innovation in genetic engineering, has revolutionized our approach to surmounting complex diseases, culminating in CASGEVY™ approved for sickle cell anemia. Derived from a microbial immune defense mechanism, CRISPR/Cas9, characterized as precision, maneuverability and universality in gene editing, has been harnessed as a versatile tool for precisely manipulating DNA in mammals. In the process of applying it to practice, the consecutive exploitation of novel orthologs and variants never ceases. It's conducive to understanding the essentialities of diseases, particularly cancer, which is crucial for diagnosis, prevention, and treatment. CRISPR/Cas9 is used not only to investigate tumorous genes functioning but also to model disparate cancers, providing valuable insights into tumor biology, resistance, and immune evasion. Upon cancer therapy, CRISPR/Cas9 is instrumental in developing individual and precise cancer therapies that can selectively activate or deactivate genes within tumor cells, aiming to cripple tumor growth and invasion and sensitize cancer cells to treatments. Furthermore, it facilitates the development of innovative treatments, enhancing the targeting efficiency of reprogrammed immune cells, exemplified by advancements in CAR-T regimen. Beyond therapy, it is a potent tool for screening susceptible genes, offering the possibility of intervening before the tumor initiative or progresses. However, despite its vast potential, the application of CRISPR/Cas9 in cancer research and therapy is accompanied by significant efficacy, efficiency, technical, and safety considerations. Escalating technology innovations are warranted to address these issues. The CRISPR/Cas9 system is revolutionizing cancer research and treatment, opening up new avenues for advancements in our understanding and management of cancers. The integration of this evolving technology into clinical practice promises a new era of precision oncology, with targeted, personalized, and potentially curative therapies for cancer patients.
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Affiliation(s)
- Tianye Li
- Department of Gynecology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, People's Republic of China
- Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, 310000, People's Republic of China
| | - Shuiquan Li
- Department of Rehabilitation and Traditional Chinese Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, People's Republic of China
| | - Yue Kang
- Department of Obstetrics and Gynecology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China
| | - Jianwei Zhou
- Department of Gynecology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Zhejiang University, Hangzhou, 310009, People's Republic of China.
- Zhejiang Provincial Clinical Research Center for Obstetrics and Gynecology, Hangzhou, 310000, People's Republic of China.
| | - Ming Yi
- Department of Breast Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, People's Republic of China.
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Roth GV, Gengaro IR, Qi LS. Precision epigenetic editing: Technological advances, enduring challenges, and therapeutic applications. Cell Chem Biol 2024; 31:S2451-9456(24)00309-X. [PMID: 39137782 DOI: 10.1016/j.chembiol.2024.07.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 05/31/2024] [Accepted: 07/15/2024] [Indexed: 08/15/2024]
Abstract
The epigenome is a complex framework through which gene expression is precisely and flexibly modulated to incorporate heritable memory and responses to environmental stimuli. It governs diverse cellular processes, including cell fate, disease, and aging. The need to understand this system and precisely control gene expression outputs for therapeutic purposes has precipitated the development of a diverse set of epigenetic editing tools. Here, we review the existing toolbox for targeted epigenetic editing, technical considerations of the current technologies, and opportunities for future development. We describe applications of therapeutic epigenetic editing and their potential for treating disease, with a discussion of ongoing delivery challenges that impede certain clinical interventions, particularly in the brain. With simultaneous advancements in available engineering tools and appropriate delivery technologies, we predict that epigenetic editing will increasingly cement itself as a powerful approach for safely treating a wide range of disorders in all tissues of the body.
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Affiliation(s)
- Goldie V Roth
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA
| | - Isabella R Gengaro
- Department of Chemical Engineering, Stanford University, Stanford, CA, USA; Sarafan ChEM-H, Stanford University, Stanford, CA, USA
| | - Lei S Qi
- Sarafan ChEM-H, Stanford University, Stanford, CA, USA; Department of Bioengineering, Stanford University, Stanford, CA, USA; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.
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29
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Neurath MF, Berg LJ. VAV1 as a putative therapeutic target in autoimmune and chronic inflammatory diseases. Trends Immunol 2024; 45:580-596. [PMID: 39060140 DOI: 10.1016/j.it.2024.06.004] [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: 06/07/2024] [Revised: 06/24/2024] [Accepted: 06/24/2024] [Indexed: 07/28/2024]
Abstract
The guanine nucleotide exchange factor (GEF) VAV1, a previously 'undruggable' protein integral to T/B lymphocyte antigen-receptor signaling, promotes actin polymerization, immunological synapse formation, T cell activation and differentiation, and cytokine production. With the development of novel modalities for targeting proteins, we hypothesize that interventions targeting VAV1 will have therapeutic potential in T and T/B cell-mediated autoimmune and chronic inflammatory diseases. This opinion is supported by recent CRISPR-Cas9 studies showing VAV1 as a key positive regulator of T cell receptor (TCR) activation and cytokine production in primary human CD4+ and CD8+ T cells; data demonstrating that loss/suppression of VAV1 regulates autoimmunity and inflammation; and promising preclinical data from T and T/B cell-mediated disease models of arthritis and colitis showing the effectiveness of selective VAV1 targeting via protein degradation.
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Affiliation(s)
- Markus F Neurath
- Department of Medicine, 1 & Deutsches Zentrum Immuntherapie, University of Erlangen-Nürnberg, Kussmaul Campus for Medical Research, 91054 Erlangen, Germany
| | - Leslie J Berg
- Department of Immunology & Microbiology, University of Colorado Anschutz School of Medicine, Aurora, CO 80045, USA.
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30
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McCutcheon SR, Rohm D, Iglesias N, Gersbach CA. Epigenome editing technologies for discovery and medicine. Nat Biotechnol 2024; 42:1199-1217. [PMID: 39075148 DOI: 10.1038/s41587-024-02320-1] [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: 11/14/2023] [Accepted: 06/19/2024] [Indexed: 07/31/2024]
Abstract
Epigenome editing has rapidly evolved in recent years, with diverse applications that include elucidating gene regulation mechanisms, annotating coding and noncoding genome functions and programming cell state and lineage specification. Importantly, given the ubiquitous role of epigenetics in complex phenotypes, epigenome editing has unique potential to impact a broad spectrum of diseases. By leveraging powerful DNA-targeting technologies, such as CRISPR, epigenome editing exploits the heritable and reversible mechanisms of epigenetics to alter gene expression without introducing DNA breaks, inducing DNA damage or relying on DNA repair pathways.
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Affiliation(s)
- Sean R McCutcheon
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
- Center for Advanced Genomic Technologies, Duke University, Durham, NC, USA
| | - Dahlia Rohm
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
- Center for Advanced Genomic Technologies, Duke University, Durham, NC, USA
| | - Nahid Iglesias
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
- Center for Advanced Genomic Technologies, Duke University, Durham, NC, USA
| | - Charles A Gersbach
- Department of Biomedical Engineering, Duke University, Durham, NC, USA.
- Center for Advanced Genomic Technologies, Duke University, Durham, NC, USA.
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31
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Clark T, Waller MA, Loo L, Moreno CL, Denes CE, Neely GG. CRISPR activation screens: navigating technologies and applications. Trends Biotechnol 2024; 42:1017-1034. [PMID: 38493051 DOI: 10.1016/j.tibtech.2024.02.007] [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: 11/20/2023] [Revised: 02/06/2024] [Accepted: 02/06/2024] [Indexed: 03/18/2024]
Abstract
Clustered regularly interspaced short palindromic repeats (CRISPR) activation (CRISPRa) has become an integral part of the molecular biology toolkit. CRISPRa genetic screens are an exciting high-throughput means of identifying genes the upregulation of which is sufficient to elicit a given phenotype. Activation machinery is continually under development to achieve greater, more robust, and more consistent activation. In this review, we offer a succinct technological overview of available CRISPRa architectures and a comprehensive summary of pooled CRISPRa screens. Furthermore, we discuss contemporary applications of CRISPRa across broad fields of research, with the aim of presenting a view of exciting emerging applications for CRISPRa screening.
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Affiliation(s)
- Teleri Clark
- Charles Perkins Centre, Dr. John and Anne Chong Lab for Functional Genomics, and School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
| | - Matthew A Waller
- Charles Perkins Centre, Dr. John and Anne Chong Lab for Functional Genomics, and School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
| | - Lipin Loo
- Charles Perkins Centre, Dr. John and Anne Chong Lab for Functional Genomics, and School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
| | - Cesar L Moreno
- Charles Perkins Centre, Dr. John and Anne Chong Lab for Functional Genomics, and School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
| | - Christopher E Denes
- Charles Perkins Centre, Dr. John and Anne Chong Lab for Functional Genomics, and School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
| | - G Gregory Neely
- Charles Perkins Centre, Dr. John and Anne Chong Lab for Functional Genomics, and School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia.
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32
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Tong LW, Hu YS, Yu SJ, Li CL, Shao JW. Current application and future perspective of CRISPR/cas9 gene editing system mediated immune checkpoint for liver cancer treatment. NANOTECHNOLOGY 2024; 35:402002. [PMID: 38964289 DOI: 10.1088/1361-6528/ad5f33] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 07/04/2024] [Indexed: 07/06/2024]
Abstract
Liver cancer, which is well-known to us as one of human most prevalent malignancies across the globe, poses a significant risk to live condition and life safety of individuals in every region of the planet. It has been shown that immune checkpoint treatment may enhance survival benefits and make a significant contribution to patient prognosis, which makes it a promising and popular therapeutic option for treating liver cancer at the current time. However, there are only a very few numbers of patients who can benefit from the treatment and there also exist adverse events such as toxic effects and so on, which is still required further research and discussion. Fortunately, the clustered regularly interspaced short palindromic repeat/CRISPR-associated nuclease 9 (CRISPR/Cas9) provides a potential strategy for immunotherapy and immune checkpoint therapy of liver cancer. In this review, we focus on elucidating the fundamentals of the recently developed CRISPR/Cas9 technology as well as the present-day landscape of immune checkpoint treatment which pertains to liver cancer. What's more, we aim to explore the molecular mechanism of immune checkpoint treatment in liver cancer based on CRISPR/Cas9 technology. At last, its encouraging and powerful potential in the future application of the clinic is discussed, along with the issues that already exist and the difficulties that must be overcome. To sum up, our ultimate goal is to create a fresh knowledge that we can utilize this new CRISPR/Cas9 technology for the current popular immune checkpoint therapy to overcome the treatment issues of liver cancer.
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Affiliation(s)
- Ling-Wu Tong
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China
| | - Yong-Shan Hu
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China
| | - Shi-Jing Yu
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China
| | - Cheng-Lei Li
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China
| | - Jing-Wei Shao
- Fujian Provincial Key Laboratory of Cancer Metastasis Chemoprevention and Chemotherapy, College of Chemistry, Fuzhou University, Fuzhou 350108, People's Republic of China
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33
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Zhang T, An W, You S, Chen S, Zhang S. G protein-coupled receptors and traditional Chinese medicine: new thinks for the development of traditional Chinese medicine. Chin Med 2024; 19:92. [PMID: 38956679 PMCID: PMC11218379 DOI: 10.1186/s13020-024-00964-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Accepted: 06/19/2024] [Indexed: 07/04/2024] Open
Abstract
G protein-coupled receptors (GPCRs) widely exist in vivo and participate in many physiological processes, thus emerging as important targets for drug development. Approximately 30% of the Food and Drug Administration (FDA)-approved drugs target GPCRs. To date, the 'one disease, one target, one molecule' strategy no longer meets the demands of drug development. Meanwhile, small-molecule drugs account for 60% of FDA-approved drugs. Traditional Chinese medicine (TCM) has garnered widespread attention for its unique theoretical system and treatment methods. TCM involves multiple components, targets and pathways. Centered on GPCRs and TCM, this paper discusses the similarities and differences between TCM and GPCRs from the perspectives of syndrome of TCM, the consistency of TCM's multi-component and multi-target approaches and the potential of GPCRs and TCM in the development of novel drugs. A novel strategy, 'simultaneous screening of drugs and targets', was proposed and applied to the study of GPCRs. We combine GPCRs with TCM to facilitate the modernisation of TCM, provide valuable insights into the rational application of TCM and facilitate the research and development of novel drugs. This study offers theoretical support for the modernisation of TCM and introduces novel ideas for development of safe and effective drugs.
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Affiliation(s)
- Ting Zhang
- Institute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
- Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China
| | - Wenqiao An
- Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China
| | - Shengjie You
- Institute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China
| | - Shilin Chen
- Institute of Herbgenomics, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
| | - Sanyin Zhang
- Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, 611100, China.
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34
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Burbano DA, Kiattisewee C, Karanjia AV, Cardiff RAL, Faulkner ID, Sugianto W, Carothers JM. CRISPR Tools for Engineering Prokaryotic Systems: Recent Advances and New Applications. Annu Rev Chem Biomol Eng 2024; 15:389-430. [PMID: 38598861 DOI: 10.1146/annurev-chembioeng-100522-114706] [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] [Indexed: 04/12/2024]
Abstract
In the past decades, the broad selection of CRISPR-Cas systems has revolutionized biotechnology by enabling multimodal genetic manipulation in diverse organisms. Rooted in a molecular engineering perspective, we recapitulate the different CRISPR components and how they can be designed for specific genetic engineering applications. We first introduce the repertoire of Cas proteins and tethered effectors used to program new biological functions through gene editing and gene regulation. We review current guide RNA (gRNA) design strategies and computational tools and how CRISPR-based genetic circuits can be constructed through regulated gRNA expression. Then, we present recent advances in CRISPR-based biosensing, bioproduction, and biotherapeutics across in vitro and in vivo prokaryotic systems. Finally, we discuss forthcoming applications in prokaryotic CRISPR technology that will transform synthetic biology principles in the near future.
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Affiliation(s)
- Diego Alba Burbano
- Department of Chemical Engineering, University of Washington, Seattle, Washington, USA
- Molecular Engineering & Sciences Institute and Center for Synthetic Biology, University of Washington, Seattle, Washington, USA;
| | - Cholpisit Kiattisewee
- Department of Chemical Engineering, University of Washington, Seattle, Washington, USA
- Molecular Engineering & Sciences Institute and Center for Synthetic Biology, University of Washington, Seattle, Washington, USA;
| | - Ava V Karanjia
- Department of Chemical Engineering, University of Washington, Seattle, Washington, USA
- Molecular Engineering & Sciences Institute and Center for Synthetic Biology, University of Washington, Seattle, Washington, USA;
| | - Ryan A L Cardiff
- Molecular Engineering & Sciences Institute and Center for Synthetic Biology, University of Washington, Seattle, Washington, USA;
| | - Ian D Faulkner
- Department of Chemical Engineering, University of Washington, Seattle, Washington, USA
- Molecular Engineering & Sciences Institute and Center for Synthetic Biology, University of Washington, Seattle, Washington, USA;
| | - Widianti Sugianto
- Department of Chemical Engineering, University of Washington, Seattle, Washington, USA
- Molecular Engineering & Sciences Institute and Center for Synthetic Biology, University of Washington, Seattle, Washington, USA;
| | - James M Carothers
- Department of Chemical Engineering, University of Washington, Seattle, Washington, USA
- Molecular Engineering & Sciences Institute and Center for Synthetic Biology, University of Washington, Seattle, Washington, USA;
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35
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Moeckel C, Mouratidis I, Chantzi N, Uzun Y, Georgakopoulos-Soares I. Advances in computational and experimental approaches for deciphering transcriptional regulatory networks: Understanding the roles of cis-regulatory elements is essential, and recent research utilizing MPRAs, STARR-seq, CRISPR-Cas9, and machine learning has yielded valuable insights. Bioessays 2024; 46:e2300210. [PMID: 38715516 PMCID: PMC11444527 DOI: 10.1002/bies.202300210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 04/22/2024] [Accepted: 04/23/2024] [Indexed: 05/16/2024]
Abstract
Understanding the influence of cis-regulatory elements on gene regulation poses numerous challenges given complexities stemming from variations in transcription factor (TF) binding, chromatin accessibility, structural constraints, and cell-type differences. This review discusses the role of gene regulatory networks in enhancing understanding of transcriptional regulation and covers construction methods ranging from expression-based approaches to supervised machine learning. Additionally, key experimental methods, including MPRAs and CRISPR-Cas9-based screening, which have significantly contributed to understanding TF binding preferences and cis-regulatory element functions, are explored. Lastly, the potential of machine learning and artificial intelligence to unravel cis-regulatory logic is analyzed. These computational advances have far-reaching implications for precision medicine, therapeutic target discovery, and the study of genetic variations in health and disease.
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Affiliation(s)
- Camille Moeckel
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Ioannis Mouratidis
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, USA
| | - Nikol Chantzi
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Yasin Uzun
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, USA
- Department of Pediatrics, The Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Ilias Georgakopoulos-Soares
- Institute for Personalized Medicine, Department of Biochemistry and Molecular Biology, The Pennsylvania State University College of Medicine, Hershey, PA, USA
- Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA, USA
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36
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Rossi M, Breman E. Engineering strategies to safely drive CAR T-cells into the future. Front Immunol 2024; 15:1411393. [PMID: 38962002 PMCID: PMC11219585 DOI: 10.3389/fimmu.2024.1411393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 05/27/2024] [Indexed: 07/05/2024] Open
Abstract
Chimeric antigen receptor (CAR) T-cell therapy has proven a breakthrough in cancer treatment in the last decade, giving unprecedented results against hematological malignancies. All approved CAR T-cell products, as well as many being assessed in clinical trials, are generated using viral vectors to deploy the exogenous genetic material into T-cells. Viral vectors have a long-standing clinical history in gene delivery, and thus underwent iterations of optimization to improve their efficiency and safety. Nonetheless, their capacity to integrate semi-randomly into the host genome makes them potentially oncogenic via insertional mutagenesis and dysregulation of key cellular genes. Secondary cancers following CAR T-cell administration appear to be a rare adverse event. However several cases documented in the last few years put the spotlight on this issue, which might have been underestimated so far, given the relatively recent deployment of CAR T-cell therapies. Furthermore, the initial successes obtained in hematological malignancies have not yet been replicated in solid tumors. It is now clear that further enhancements are needed to allow CAR T-cells to increase long-term persistence, overcome exhaustion and cope with the immunosuppressive tumor microenvironment. To this aim, a variety of genomic engineering strategies are under evaluation, most relying on CRISPR/Cas9 or other gene editing technologies. These approaches are liable to introduce unintended, irreversible genomic alterations in the product cells. In the first part of this review, we will discuss the viral and non-viral approaches used for the generation of CAR T-cells, whereas in the second part we will focus on gene editing and non-gene editing T-cell engineering, with particular regard to advantages, limitations, and safety. Finally, we will critically analyze the different gene deployment and genomic engineering combinations, delineating strategies with a superior safety profile for the production of next-generation CAR T-cell.
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37
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Pimentel H, Freimer JW, Arce MM, Garrido CM, Marson A, Pritchard JK. A model for accurate quantification of CRISPR effects in pooled FACS screens. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.17.599448. [PMID: 38948774 PMCID: PMC11213010 DOI: 10.1101/2024.06.17.599448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
CRISPR screens are powerful tools to identify key genes that underlie biological processes. One important type of screen uses fluorescence activated cell sorting (FACS) to sort perturbed cells into bins based on the expression level of marker genes, followed by guide RNA (gRNA) sequencing. Analysis of these data presents several statistical challenges due to multiple factors including the discrete nature of the bins and typically small numbers of replicate experiments. To address these challenges, we developed a robust and powerful Bayesian random effects model and software package called Waterbear. Furthermore, we used Waterbear to explore how various experimental design parameters affect statistical power to establish principled guidelines for future screens. Finally, we experimentally validated our experimental design model findings that, when using Waterbear for analysis, high power is maintained even at low cell coverage and a high multiplicity of infection. We anticipate that Waterbear will be of broad utility for analyzing FACS-based CRISPR screens.
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Affiliation(s)
- Harold Pimentel
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Departments of Computational Medicine and Human Genetics, University of California, Los Angeles, Howard Hughes Medical Institute, Los Angeles, CA 90024, USA
- These authors contributed equally
| | - Jacob W. Freimer
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA
- Present address: Genentech Research and Early Development, South San Francisco, CA
- These authors contributed equally
| | - Maya M. Arce
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA 94143, USA
| | | | - Alexander Marson
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA 94158, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94143, USA
- Department of Medicine, University of California San Francisco, San Francisco, CA 94143, USA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA 94720, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94158, USA
- Parker Institute for Cancer Immunotherapy, University of California San Francisco, San Francisco, CA, USA
- Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143, USA
- These authors jointly supervised this work
| | - Jonathan K. Pritchard
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
- Department of Biology, Stanford University, Stanford, CA 94305, USA
- These authors jointly supervised this work
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Xu Z, Li J, Yan N, Liu X, Deng Y, Song Y. Phosphatidylserine and/or Sialic Acid Modified Liposomes Increase Uptake by Tumor-associated Macrophages and Enhance the Anti-tumor Effect. AAPS PharmSciTech 2024; 25:125. [PMID: 38834759 DOI: 10.1208/s12249-024-02837-3] [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: 01/07/2024] [Accepted: 05/13/2024] [Indexed: 06/06/2024] Open
Abstract
DOX liposomes have better therapeutic effects and lower toxic side effects. The targeting ability of liposomes is one of the key factors affecting the therapeutic effect of DOX liposomes. This study developed two types of targeted liposomes. Sialic acid (SA)-modified liposomes were designed to target the highly expressed Siglec-1 receptor on tumor-associated macrophages surface. Phosphatidylserine (PS)-modified liposomes were designed to promote phagocytosis by monocyte-derived macrophages through PS apoptotic signaling. In order to assess and compare the therapeutic potential of different targeted pathways in the context of anti-tumor treatment, we compared four phosphatidylserine membrane materials (DOPS, DSPS, DPPS and DMPS) and found that liposomes prepared using DOPS as material could significantly improve the uptake ability of RAW264.7 cells for DOX liposomes. On this basis, normal DOX liposomes (CL-DOX) and SA-modified DOX liposomes (SAL-DOX), PS-modified DOX liposomes (PS-CL-DOX), SA and PS co-modified DOX liposomes (PS-SAL-DOX) were prepared. The anti-tumor cells function of each liposome on S180 and RAW264.7 in vitro was investigated, and it was found that SA on the surface of liposomes can increase the inhibitory effect. In vivo efficacy results exhibited that SAL-DOX and PS-CL-DOX were superior to other groups in terms of ability to inhibit tumor growth and tumor inhibition index, among which SAL-DOX had the best anti-tumor effect. Moreover, SAL-DOX group mice had high expression of IFN-γ as well as IL-12 factors, which could significantly inhibit mice tumor growth, improve the immune microenvironment of the tumor site, and have excellent targeted delivery potential.
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Affiliation(s)
- Zihan Xu
- College of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, Liaoning, 110016, People's Republic of China
| | - Jie Li
- College of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, Liaoning, 110016, People's Republic of China
| | - Na Yan
- College of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, Liaoning, 110016, People's Republic of China
| | - Xinrong Liu
- College of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, Liaoning, 110016, People's Republic of China
| | - Yihui Deng
- College of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, Liaoning, 110016, People's Republic of China
| | - Yanzhi Song
- College of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, Liaoning, 110016, People's Republic of China.
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Lalle G, Lautraite R, Bouherrou K, Plaschka M, Pignata A, Voisin A, Twardowski J, Perrin-Niquet M, Stéphan P, Durget S, Tonon L, Ardin M, Degletagne C, Viari A, Belgarbi Dutron L, Davoust N, Postler TS, Zhao J, Caux C, Caramel J, Dalle S, Cassier PA, Klein U, Schmidt-Supprian M, Liblau R, Ghosh S, Grinberg-Bleyer Y. NF-κB subunits RelA and c-Rel selectively control CD4+ T cell function in multiple sclerosis and cancer. J Exp Med 2024; 221:e20231348. [PMID: 38563819 PMCID: PMC10986815 DOI: 10.1084/jem.20231348] [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: 08/01/2023] [Revised: 01/30/2024] [Accepted: 03/13/2024] [Indexed: 04/04/2024] Open
Abstract
The outcome of cancer and autoimmunity is often dictated by the effector functions of CD4+ conventional T cells (Tconv). Although activation of the NF-κB signaling pathway has long been implicated in Tconv biology, the cell-autonomous roles of the separate NF-κB transcription-factor subunits are unknown. Here, we dissected the contributions of the canonical NF-κB subunits RelA and c-Rel to Tconv function. RelA, rather than c-Rel, regulated Tconv activation and cytokine production at steady-state and was required for polarization toward the TH17 lineage in vitro. Accordingly, RelA-deficient mice were fully protected against neuroinflammation in a model of multiple sclerosis due to defective transition to a pathogenic TH17 gene-expression program. Conversely, Tconv-restricted ablation of c-Rel impaired their function in the microenvironment of transplanted tumors, resulting in enhanced cancer burden. Moreover, Tconv required c-Rel for the response to PD-1-blockade therapy. Our data reveal distinct roles for canonical NF-κB subunits in different disease contexts, paving the way for subunit-targeted immunotherapies.
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Affiliation(s)
- Guilhem Lalle
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Raphaëlle Lautraite
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Khaled Bouherrou
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Maud Plaschka
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Aurora Pignata
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), UMR INSERM 1291, CNRS 5051, Université Toulouse III, Toulouse, France
| | - Allison Voisin
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Julie Twardowski
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Marlène Perrin-Niquet
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Pierre Stéphan
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Sarah Durget
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Laurie Tonon
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, Gilles Thomas Bioinformatics Platform, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Maude Ardin
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, Gilles Thomas Bioinformatics Platform, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Cyril Degletagne
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Alain Viari
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, Gilles Thomas Bioinformatics Platform, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | | | - Nathalie Davoust
- Laboratory of Biology and Modelling of the Cell, Ecole Normale Supérieure of Lyon, CNRS UMR 5239, INSERM U1293, Lyon, France
| | - Thomas S. Postler
- Department of Microbiology and Immunology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Jingyao Zhao
- Department of Microbiology and Immunology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Christophe Caux
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Julie Caramel
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Stéphane Dalle
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Philippe A. Cassier
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
| | - Ulf Klein
- Division of Haematology and Immunology, Leeds Institute of Medical Research at St. James’s, University of Leeds, Leeds, UK
| | - Marc Schmidt-Supprian
- Institute of Experimental Hematology, School of Medicine, Technical University of Munich, Munich, Germany
- Center for Translational Cancer Research, School of Medicine, Technical University of Munich, Munich, Germany
- German Cancer Consortium and German Cancer Research Center, Heidelberg, Germany
| | - Roland Liblau
- Toulouse Institute for Infectious and Inflammatory Diseases (Infinity), UMR INSERM 1291, CNRS 5051, Université Toulouse III, Toulouse, France
| | - Sankar Ghosh
- Department of Microbiology and Immunology, College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Yenkel Grinberg-Bleyer
- Cancer Research Center of Lyon, Labex DEV2CAN, Institut Convergence Plascan, Centre Léon Bérard, UMR INSERM 1052, CNRS 5286, Université Claude Bernard Lyon 1, Lyon, France
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40
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Roohani Y, Huang K, Leskovec J. Predicting transcriptional outcomes of novel multigene perturbations with GEARS. Nat Biotechnol 2024; 42:927-935. [PMID: 37592036 PMCID: PMC11180609 DOI: 10.1038/s41587-023-01905-6] [Citation(s) in RCA: 40] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Accepted: 07/12/2023] [Indexed: 08/19/2023]
Abstract
Understanding cellular responses to genetic perturbation is central to numerous biomedical applications, from identifying genetic interactions involved in cancer to developing methods for regenerative medicine. However, the combinatorial explosion in the number of possible multigene perturbations severely limits experimental interrogation. Here, we present graph-enhanced gene activation and repression simulator (GEARS), a method that integrates deep learning with a knowledge graph of gene-gene relationships to predict transcriptional responses to both single and multigene perturbations using single-cell RNA-sequencing data from perturbational screens. GEARS is able to predict outcomes of perturbing combinations consisting of genes that were never experimentally perturbed. GEARS exhibited 40% higher precision than existing approaches in predicting four distinct genetic interaction subtypes in a combinatorial perturbation screen and identified the strongest interactions twice as well as prior approaches. Overall, GEARS can predict phenotypically distinct effects of multigene perturbations and thus guide the design of perturbational experiments.
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Affiliation(s)
- Yusuf Roohani
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Kexin Huang
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Jure Leskovec
- Department of Computer Science, Stanford University, Stanford, CA, USA.
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41
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Mowery CT, Freimer JW, Chen Z, Casaní-Galdón S, Umhoefer JM, Arce MM, Gjoni K, Daniel B, Sandor K, Gowen BG, Nguyen V, Simeonov DR, Garrido CM, Curie GL, Schmidt R, Steinhart Z, Satpathy AT, Pollard KS, Corn JE, Bernstein BE, Ye CJ, Marson A. Systematic decoding of cis gene regulation defines context-dependent control of the multi-gene costimulatory receptor locus in human T cells. Nat Genet 2024; 56:1156-1167. [PMID: 38811842 PMCID: PMC11176074 DOI: 10.1038/s41588-024-01743-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 04/04/2024] [Indexed: 05/31/2024]
Abstract
Cis-regulatory elements (CREs) interact with trans regulators to orchestrate gene expression, but how transcriptional regulation is coordinated in multi-gene loci has not been experimentally defined. We sought to characterize the CREs controlling dynamic expression of the adjacent costimulatory genes CD28, CTLA4 and ICOS, encoding regulators of T cell-mediated immunity. Tiling CRISPR interference (CRISPRi) screens in primary human T cells, both conventional and regulatory subsets, uncovered gene-, cell subset- and stimulation-specific CREs. Integration with CRISPR knockout screens and assay for transposase-accessible chromatin with sequencing (ATAC-seq) profiling identified trans regulators influencing chromatin states at specific CRISPRi-responsive elements to control costimulatory gene expression. We then discovered a critical CCCTC-binding factor (CTCF) boundary that reinforces CRE interaction with CTLA4 while also preventing promiscuous activation of CD28. By systematically mapping CREs and associated trans regulators directly in primary human T cell subsets, this work overcomes longstanding experimental limitations to decode context-dependent gene regulatory programs in a complex, multi-gene locus critical to immune homeostasis.
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Grants
- P30 DK063720 NIDDK NIH HHS
- R01 HG008140 NHGRI NIH HHS
- T32 GM007618 NIGMS NIH HHS
- S10 OD028511 NIH HHS
- F99 CA234842 NCI NIH HHS
- S10 OD021822 NIH HHS
- K00 CA234842 NCI NIH HHS
- P01 AI138962 NIAID NIH HHS
- U01 HL157989 NHLBI NIH HHS
- R01 DK129364 NIDDK NIH HHS
- T32 DK007418 NIDDK NIH HHS
- R01 AI136972 NIAID NIH HHS
- F30 AI157167 NIAID NIH HHS
- R01 HG011239 NHGRI NIH HHS
- NIH grants 1R01DK129364-01A1, P01AI138962, and R01HG008140; the Larry L. Hillblom Foundation (grant no. 2020-D-002-NET); and Northern California JDRF Center of Excellence. A.M. is a member of the Parker Institute for Cancer Immunotherapy (PICI), and has received funding from the Arc Institute, Chan Zuckerberg Biohub, Innovative Genomics Institute (IGI), Cancer Research Institute (CRI) Lloyd J. Old STAR award, a gift from the Jordan Family, a gift from the Byers family and a gift from B. Bakar.
- UCSF ImmunoX Computational Immunology Fellow, is supported by NIH grant F30AI157167, and has received support from NIH grants T32DK007418 and T32GM007618
- NIH grant R01HG008140
- Career Award for Medical Scientists from the Burroughs Wellcome Fund, a Lloyd J. Old STAR Award from the Cancer Research Institute, and the Parker Institute for Cancer Immunotherapy
- NIH grant U01HL157989
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Affiliation(s)
- Cody T Mowery
- Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Jacob W Freimer
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Zeyu Chen
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Departments of Cell Biology and Pathology, Harvard Medical School, Boston, MA, USA
| | - Salvador Casaní-Galdón
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Departments of Cell Biology and Pathology, Harvard Medical School, Boston, MA, USA
| | - Jennifer M Umhoefer
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Maya M Arce
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Ketrin Gjoni
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Bence Daniel
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Microchemistry, Proteomics, Lipidomics and Next Generation Sequencing, Genentech, South San Francisco, CA, USA
| | - Katalin Sandor
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | - Benjamin G Gowen
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Vinh Nguyen
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- Diabetes Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Surgery, University of California, San Francisco, San Francisco, CA, USA
- UCSF CoLabs, University of California, San Francisco, San Francisco, CA, USA
| | - Dimitre R Simeonov
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Christian M Garrido
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Gemma L Curie
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Ralf Schmidt
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Zachary Steinhart
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Ansuman T Satpathy
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
- Program in Immunology, Stanford University, Stanford, CA, USA
| | - Katherine S Pollard
- Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub SF, San Francisco, CA, USA
| | - Jacob E Corn
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA, USA
- Department of Biology, ETH Zürich, Zürich, Switzerland
| | - Bradley E Bernstein
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Departments of Cell Biology and Pathology, Harvard Medical School, Boston, MA, USA
| | - Chun Jimmie Ye
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA.
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
- Chan Zuckerberg Biohub SF, San Francisco, CA, USA.
- Rosalind Russell/Ephraim P. Engleman Rheumatology Research Center, University of California, San Francisco, San Francisco, CA, USA.
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
| | - Alexander Marson
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA.
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA.
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
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42
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Qin M, Deng C, Wen L, Luo G, Meng Y. CRISPR-Cas and CRISPR-based screening system for precise gene editing and targeted cancer therapy. J Transl Med 2024; 22:516. [PMID: 38816739 PMCID: PMC11138051 DOI: 10.1186/s12967-024-05235-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 04/24/2024] [Indexed: 06/01/2024] Open
Abstract
Target cancer therapy has been developed for clinical cancer treatment based on the discovery of CRISPR (clustered regularly interspaced short palindromic repeat) -Cas system. This forefront and cutting-edge scientific technique improves the cancer research into molecular level and is currently widely utilized in genetic investigation and clinical precision cancer therapy. In this review, we summarized the genetic modification by CRISPR/Cas and CRISPR screening system, discussed key components for successful CRISPR screening, including Cas enzymes, guide RNA (gRNA) libraries, target cells or organs. Furthermore, we focused on the application for CAR-T cell therapy, drug target, drug screening, or drug selection in both ex vivo and in vivo with CRISPR screening system. In addition, we elucidated the advantages and potential obstacles of CRISPR system in precision clinical medicine and described the prospects for future genetic therapy.In summary, we provide a comprehensive and practical perspective on the development of CRISPR/Cas and CRISPR screening system for the treatment of cancer defects, aiming to further improve the precision and accuracy for clinical treatment and individualized gene therapy.
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Affiliation(s)
- Mingming Qin
- Reproductive Medical Center, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Women and Children Hospital), Foshan, Guangdong, 528000, China
- Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, 510515, China
| | - Chunhao Deng
- Chinese Medicine and Translational Medicine R&D center, Zhuhai UM Science & Technology Research Institute, Zhuhai, Guangdong, 519031, China
| | - Liewei Wen
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai People's Hospital, Zhuhai Clinical Medical College of Jinan University, Zhuhai, Guangdong, 519000, China
| | - Guoqun Luo
- Reproductive Medical Center, Affiliated Foshan Maternity & Child Healthcare Hospital, Southern Medical University (Foshan Women and Children Hospital), Foshan, Guangdong, 528000, China.
| | - Ya Meng
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai People's Hospital, Zhuhai Clinical Medical College of Jinan University, Zhuhai, Guangdong, 519000, China.
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43
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Walsh ZH, Shah P, Kothapalli N, Shah SB, Nikolenyi G, Brodtman DZ, Leuzzi G, Rogava M, Mu M, Ho P, Abuzaid S, Vasan N, AlQuraishi M, Milner JD, Ciccia A, Melms JC, Izar B. Mapping variant effects on anti-tumor hallmarks of primary human T cells with base-editing screens. Nat Biotechnol 2024:10.1038/s41587-024-02235-x. [PMID: 38783148 DOI: 10.1038/s41587-024-02235-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 04/10/2024] [Indexed: 05/25/2024]
Abstract
Single-nucleotide variants (SNVs) in key T cell genes can drive clinical pathologies and could be repurposed to improve cellular cancer immunotherapies. Here, we perform massively parallel base-editing screens to generate thousands of variants at gene loci annotated with known or potential clinical relevance. We discover a broad landscape of putative gain-of-function (GOF) and loss-of-function (LOF) mutations, including in PIK3CD and the gene encoding its regulatory subunit, PIK3R1, LCK, SOS1, AKT1 and RHOA. Base editing of PIK3CD and PIK3R1 variants in T cells with an engineered T cell receptor specific to a melanoma epitope or in different generations of CD19 chimeric antigen receptor (CAR) T cells demonstrates that discovered GOF variants, but not LOF or silent mutation controls, enhanced signaling, cytokine production and lysis of cognate melanoma and leukemia cell models, respectively. Additionally, we show that generations of CD19 CAR T cells engineered with PIK3CD GOF mutations demonstrate enhanced antigen-specific signaling, cytokine production and leukemia cell killing, including when benchmarked against other recent strategies.
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Affiliation(s)
- Zachary H Walsh
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Department of Medicine, Division of Hematology and Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Parin Shah
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Department of Medicine, Division of Hematology and Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Neeharika Kothapalli
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Shivem B Shah
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Gergo Nikolenyi
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - D Zack Brodtman
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Department of Medicine, Division of Hematology and Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Giuseppe Leuzzi
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
- Department of Genetics and Development, Columbia University Medical Center, New York, NY, USA
| | - Meri Rogava
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Department of Medicine, Division of Hematology and Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Michael Mu
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Department of Medicine, Division of Hematology and Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Patricia Ho
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Department of Medicine, Division of Hematology and Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Sinan Abuzaid
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Department of Medicine, Division of Hematology and Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Neil Vasan
- Department of Medicine, Division of Hematology and Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Mohammed AlQuraishi
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Joshua D Milner
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Alberto Ciccia
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
- Department of Genetics and Development, Columbia University Medical Center, New York, NY, USA
| | - Johannes C Melms
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Department of Medicine, Division of Hematology and Oncology, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA
| | - Benjamin Izar
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
- Department of Medicine, Division of Hematology and Oncology, Columbia University Irving Medical Center, New York, NY, USA.
- Columbia Center for Translational Immunology, New York, NY, USA.
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.
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44
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Pacalin NM, Steinhart Z, Shi Q, Belk JA, Dorovskyi D, Kraft K, Parker KR, Shy BR, Marson A, Chang HY. Bidirectional epigenetic editing reveals hierarchies in gene regulation. Nat Biotechnol 2024:10.1038/s41587-024-02213-3. [PMID: 38760566 PMCID: PMC11569274 DOI: 10.1038/s41587-024-02213-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/19/2024] [Indexed: 05/19/2024]
Abstract
CRISPR perturbation methods are limited in their ability to study non-coding elements and genetic interactions. In this study, we developed a system for bidirectional epigenetic editing, called CRISPRai, in which we apply activating (CRISPRa) and repressive (CRISPRi) perturbations to two loci simultaneously in the same cell. We developed CRISPRai Perturb-seq by coupling dual perturbation gRNA detection with single-cell RNA sequencing, enabling study of pooled perturbations in a mixed single-cell population. We applied this platform to study the genetic interaction between two hematopoietic lineage transcription factors, SPI1 and GATA1, and discovered novel characteristics of their co-regulation on downstream target genes, including differences in SPI1 and GATA1 occupancy at genes that are regulated through different modes. We also studied the regulatory landscape of IL2 (interleukin-2) in Jurkat T cells, primary T cells and chimeric antigen receptor (CAR) T cells and elucidated mechanisms of enhancer-mediated IL2 gene regulation. CRISPRai facilitates investigation of context-specific genetic interactions, provides new insights into gene regulation and will enable exploration of non-coding disease-associated variants.
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Affiliation(s)
- Naomi M Pacalin
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Department of Bioengineering, Stanford University, Stanford, CA, USA
| | - Zachary Steinhart
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Quanming Shi
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Julia A Belk
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Dmytro Dorovskyi
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Katerina Kraft
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Kevin R Parker
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
- Program in Epithelial Biology, Stanford University School of Medicine, Stanford, CA, USA
- Cartography Biosciences, Inc., South San Francisco, CA, USA
| | - Brian R Shy
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Alexander Marson
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- Diabetes Center, University of California, San Francisco, San Francisco, CA, USA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Howard Y Chang
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA.
- Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
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Chardon FM, McDiarmid TA, Page NF, Daza RM, Martin B, Domcke S, Regalado SG, Lalanne JB, Calderon D, Li X, Starita LM, Sanders SJ, Ahituv N, Shendure J. Multiplex, single-cell CRISPRa screening for cell type specific regulatory elements. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.03.28.534017. [PMID: 37034704 PMCID: PMC10081248 DOI: 10.1101/2023.03.28.534017] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
CRISPR-based gene activation (CRISPRa) is a promising therapeutic approach for gene therapy, upregulating gene expression by targeting promoters or enhancers in a tissue/cell-type specific manner. Here, we describe an experimental framework that combines highly multiplexed perturbations with single-cell RNA sequencing (sc-RNA-seq) to identify cell-type-specific, CRISPRa-responsive cis- regulatory elements and the gene(s) they regulate. Random combinations of many gRNAs are introduced to each of many cells, which are then profiled and partitioned into test and control groups to test for effect(s) of CRISPRa perturbations of both enhancers and promoters on the expression of neighboring genes. Applying this method to a library of 493 gRNAs targeting candidate cis- regulatory elements in both K562 cells and iPSC-derived excitatory neurons, we identify gRNAs capable of specifically upregulating intended target genes and no other neighboring genes within 1 Mb, including gRNAs yielding upregulation of six autism spectrum disorder (ASD) and neurodevelopmental disorder (NDD) risk genes in neurons. A consistent pattern is that the responsiveness of individual enhancers to CRISPRa is restricted by cell type, implying a dependency on either chromatin landscape and/or additional trans- acting factors for successful gene activation. The approach outlined here may facilitate large-scale screens for gRNAs that activate therapeutically relevant genes in a cell type-specific manner.
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46
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Franks SN, Heon-Roberts R, Ryan BJ. CRISPRi: a way to integrate iPSC-derived neuronal models. Biochem Soc Trans 2024; 52:539-551. [PMID: 38526223 PMCID: PMC11088925 DOI: 10.1042/bst20230190] [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: 09/07/2023] [Revised: 02/28/2024] [Accepted: 03/13/2024] [Indexed: 03/26/2024]
Abstract
The genetic landscape of neurodegenerative diseases encompasses genes affecting multiple cellular pathways which exert effects in an array of neuronal and glial cell-types. Deconvolution of the roles of genes implicated in disease and the effects of disease-associated variants remains a vital step in the understanding of neurodegeneration and the development of therapeutics. Disease modelling using patient induced pluripotent stem cells (iPSCs) has enabled the generation of key cell-types associated with disease whilst maintaining the genomic variants that predispose to neurodegeneration. The use of CRISPR interference (CRISPRi), alongside other CRISPR-perturbations, allows the modelling of the effects of these disease-associated variants or identifying genes which modify disease phenotypes. This review summarises the current applications of CRISPRi in iPSC-derived neuronal models, such as fluorescence-activated cell sorting (FACS)-based screens, and discusses the future opportunities for disease modelling, identification of disease risk modifiers and target/drug discovery in neurodegeneration.
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Affiliation(s)
- Sarah N.J. Franks
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3QU, UK
- Kavli Institute for Nanoscience Discovery, Dorothy Crowfoot Hodgkin Building, University of Oxford, Oxford OX1 3QU, UK
| | - Rachel Heon-Roberts
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3QU, UK
- Kavli Institute for Nanoscience Discovery, Dorothy Crowfoot Hodgkin Building, University of Oxford, Oxford OX1 3QU, UK
| | - Brent J. Ryan
- Oxford Parkinson's Disease Centre and Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3QU, UK
- Kavli Institute for Nanoscience Discovery, Dorothy Crowfoot Hodgkin Building, University of Oxford, Oxford OX1 3QU, UK
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47
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Lin CP, Levy PL, Alflen A, Apriamashvili G, Ligtenberg MA, Vredevoogd DW, Bleijerveld OB, Alkan F, Malka Y, Hoekman L, Markovits E, George A, Traets JJH, Krijgsman O, van Vliet A, Poźniak J, Pulido-Vicuña CA, de Bruijn B, van Hal-van Veen SE, Boshuizen J, van der Helm PW, Díaz-Gómez J, Warda H, Behrens LM, Mardesic P, Dehni B, Visser NL, Marine JC, Markel G, Faller WJ, Altelaar M, Agami R, Besser MJ, Peeper DS. Multimodal stimulation screens reveal unique and shared genes limiting T cell fitness. Cancer Cell 2024; 42:623-645.e10. [PMID: 38490212 PMCID: PMC11003465 DOI: 10.1016/j.ccell.2024.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 01/03/2024] [Accepted: 02/22/2024] [Indexed: 03/17/2024]
Abstract
Genes limiting T cell antitumor activity may serve as therapeutic targets. It has not been systematically studied whether there are regulators that uniquely or broadly contribute to T cell fitness. We perform genome-scale CRISPR-Cas9 knockout screens in primary CD8 T cells to uncover genes negatively impacting fitness upon three modes of stimulation: (1) intense, triggering activation-induced cell death (AICD); (2) acute, triggering expansion; (3) chronic, causing dysfunction. Besides established regulators, we uncover genes controlling T cell fitness either specifically or commonly upon differential stimulation. Dap5 ablation, ranking highly in all three screens, increases translation while enhancing tumor killing. Loss of Icam1-mediated homotypic T cell clustering amplifies cell expansion and effector functions after both acute and intense stimulation. Lastly, Ctbp1 inactivation induces functional T cell persistence exclusively upon chronic stimulation. Our results functionally annotate fitness regulators based on their unique or shared contribution to traits limiting T cell antitumor activity.
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Affiliation(s)
- Chun-Pu Lin
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Pierre L Levy
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands; Tumor Immunology and Immunotherapy Group, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Barcelona Hospital Campus, 08035 Barcelona, Spain
| | - Astrid Alflen
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands; Department of Hematology and Medical Oncology, University Medical Center, Johannes Gutenberg-University, 55131 Mainz, Germany; Research Center for Immunotherapy (FZI), University Medical Center, Johannes Gutenberg-University, 55131 Mainz, Germany
| | - Georgi Apriamashvili
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Maarten A Ligtenberg
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - David W Vredevoogd
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Onno B Bleijerveld
- Proteomics Facility, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Ferhat Alkan
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Yuval Malka
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Liesbeth Hoekman
- Proteomics Facility, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Ettai Markovits
- Ella Lemelbaum Institute for Immuno-oncology and Melanoma, Sheba Medical Center, Ramat Gan 52612, Israel; Department of Clinical Microbiology and Immunology, Faculty of Medicine, Tel Aviv University, Tel-Aviv 6997801, Israel
| | - Austin George
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Joleen J H Traets
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands; Division of Tumor Biology and Immunology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Oscar Krijgsman
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Alex van Vliet
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Joanna Poźniak
- Laboratory for Molecular Cancer Biology, VIB Center for Cancer Biology, 3000 Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, 3000 Leuven, Belgium
| | - Carlos Ariel Pulido-Vicuña
- Laboratory for Molecular Cancer Biology, VIB Center for Cancer Biology, 3000 Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, 3000 Leuven, Belgium
| | - Beaunelle de Bruijn
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Susan E van Hal-van Veen
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Julia Boshuizen
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Pim W van der Helm
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Judit Díaz-Gómez
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Hamdy Warda
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Leonie M Behrens
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Paula Mardesic
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Bilal Dehni
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Nils L Visser
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Jean-Christophe Marine
- Laboratory for Molecular Cancer Biology, VIB Center for Cancer Biology, 3000 Leuven, Belgium; Laboratory for Molecular Cancer Biology, Department of Oncology, KU Leuven, 3000 Leuven, Belgium
| | - Gal Markel
- Department of Clinical Microbiology and Immunology, Faculty of Medicine, Tel Aviv University, Tel-Aviv 6997801, Israel; Davidoff Cancer Center and Samueli Integrative Cancer Pioneering Institute, Rabin Medical Center, Petach Tikva 4941492, Israel
| | - William J Faller
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Maarten Altelaar
- Proteomics Facility, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands; Biomolecular Mass Spectrometry and Proteomics, Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands
| | - Reuven Agami
- Division of Oncogenomics, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands
| | - Michal J Besser
- Ella Lemelbaum Institute for Immuno-oncology and Melanoma, Sheba Medical Center, Ramat Gan 52612, Israel; Department of Clinical Microbiology and Immunology, Faculty of Medicine, Tel Aviv University, Tel-Aviv 6997801, Israel; Davidoff Cancer Center and Samueli Integrative Cancer Pioneering Institute, Rabin Medical Center, Petach Tikva 4941492, Israel; Felsenstein Medical Research Center, Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Daniel S Peeper
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, the Netherlands; Department of Pathology, VU University Amsterdam, 1081 HV Amsterdam, the Netherlands.
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48
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Xiang M, Li H, Zhan Y, Ma D, Gao Q, Fang Y. Functional CRISPR screens in T cells reveal new opportunities for cancer immunotherapies. Mol Cancer 2024; 23:73. [PMID: 38581063 PMCID: PMC10996278 DOI: 10.1186/s12943-024-01987-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 03/25/2024] [Indexed: 04/07/2024] Open
Abstract
T cells are fundamental components in tumour immunity and cancer immunotherapies, which have made immense strides and revolutionized cancer treatment paradigm. However, recent studies delineate the predicament of T cell dysregulation in tumour microenvironment and the compromised efficacy of cancer immunotherapies. CRISPR screens enable unbiased interrogation of gene function in T cells and have revealed functional determinators, genetic regulatory networks, and intercellular interactions in T cell life cycle, thereby providing opportunities to revamp cancer immunotherapies. In this review, we briefly described the central roles of T cells in successful cancer immunotherapies, comprehensively summarised the studies of CRISPR screens in T cells, elaborated resultant master genes that control T cell activation, proliferation, fate determination, effector function, and exhaustion, and highlighted genes (BATF, PRDM1, and TOX) and signalling cascades (JAK-STAT and NF-κB pathways) that extensively engage in multiple branches of T cell responses. In conclusion, this review bridged the gap between discovering element genes to a specific process of T cell activities and apprehending these genes in the global T cell life cycle, deepened the understanding of T cell biology in tumour immunity, and outlined CRISPR screens resources that might facilitate the development and implementation of cancer immunotherapies in the clinic.
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Affiliation(s)
- Minghua Xiang
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis (Ministry of Education), Hubei Key Laboratory of Tumor Invasion and Metastasis, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Huayi Li
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis (Ministry of Education), Hubei Key Laboratory of Tumor Invasion and Metastasis, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuanyuan Zhan
- Department of Plastic and Cosmetic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ding Ma
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Key Laboratory of Cancer Invasion and Metastasis (Ministry of Education), Hubei Key Laboratory of Tumor Invasion and Metastasis, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qinglei Gao
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Key Laboratory of Cancer Invasion and Metastasis (Ministry of Education), Hubei Key Laboratory of Tumor Invasion and Metastasis, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Yong Fang
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Key Laboratory of Cancer Invasion and Metastasis (Ministry of Education), Hubei Key Laboratory of Tumor Invasion and Metastasis, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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49
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Munir M, Embry A, Doench JG, Heaton NS, Wilen CB, Orchard RC. Genome-wide CRISPR activation screen identifies JADE3 as an antiviral activator of NF-kB-dependent IFITM3 expression. J Biol Chem 2024; 300:107153. [PMID: 38462163 PMCID: PMC11001640 DOI: 10.1016/j.jbc.2024.107153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 02/29/2024] [Accepted: 03/05/2024] [Indexed: 03/12/2024] Open
Abstract
The innate immune system features a web of interacting pathways that require exquisite regulation. To identify novel nodes in this immune landscape, we conducted a gain-of-function, genome-wide CRISPR activation screen with influenza A virus. We identified both appreciated and novel antiviral genes, including Jade family PHD zinc finger 3 (JADE3) a protein involved in directing the histone acetyltransferase histone acetyltransferase binding to ORC1 complex to modify chromatin and regulate transcription. JADE3 is both necessary and sufficient to restrict influenza A virus infection. Our results suggest a distinct function for JADE3 as expression of the closely related paralogs JADE1 and JADE2 does not confer resistance to influenza A virus infection. JADE3 is required for both constitutive and inducible expression of the well-characterized antiviral gene interferon-induced transmembrane protein 3 (IFITM3). Furthermore, we find JADE3 activates the NF-kB signaling pathway, which is required for the promotion of IFITM3 expression by JADE3. Therefore, we propose JADE3 activates an antiviral genetic program involving NF-kB-dependent IFITM3 expression to restrict influenza A virus infection.
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Affiliation(s)
- Moiz Munir
- Departments of Immunology and Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Aaron Embry
- Departments of Immunology and Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - John G Doench
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Nicholas S Heaton
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Craig B Wilen
- Department of Laboratory Medicine and Immunobiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Robert C Orchard
- Departments of Immunology and Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
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50
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Spisak S, Chen D, Likasitwatanakul P, Doan P, Li Z, Bala P, Vizkeleti L, Tisza V, De Silva P, Giannakis M, Wolpin B, Qi J, Sethi NS. Identifying regulators of aberrant stem cell and differentiation activity in colorectal cancer using a dual endogenous reporter system. Nat Commun 2024; 15:2230. [PMID: 38472198 PMCID: PMC10933491 DOI: 10.1038/s41467-024-46285-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 02/21/2024] [Indexed: 03/14/2024] Open
Abstract
Aberrant stem cell-like activity and impaired differentiation are central to the development of colorectal cancer (CRC). To identify functional mediators of these key cellular programs, we engineer a dual endogenous reporter system by genome-editing the SOX9 and KRT20 loci of human CRC cell lines to express fluorescent reporters, broadcasting aberrant stem cell-like and differentiation activity, respectively. By applying a CRISPR screen targeting 78 epigenetic regulators with 542 sgRNAs to this platform, we identify factors that contribute to stem cell-like activity and differentiation in CRC. Perturbation single cell RNA sequencing (Perturb-seq) of validated hits nominate SMARCB1 of the BAF complex (also known as SWI/SNF) as a negative regulator of differentiation across an array of neoplastic colon models. SMARCB1 is a dependency and required for in vivo growth of human CRC models. These studies highlight the utility of biologically designed endogenous reporter platforms to uncover regulators with therapeutic potential.
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Affiliation(s)
- Sandor Spisak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
| | - David Chen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Pornlada Likasitwatanakul
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, Cambridge, MA, USA
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Paul Doan
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, Cambridge, MA, USA
| | - Zhixin Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, Cambridge, MA, USA
| | - Pratyusha Bala
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, Cambridge, MA, USA
| | - Laura Vizkeleti
- Department of Bioinformatics, Faculty of Medicine, Semmelweis University, 1094, Budapest, Hungary
| | - Viktoria Tisza
- Institute of Molecular Life Sciences, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary
| | - Pushpamali De Silva
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, Cambridge, MA, USA
- Gastrointestinal Cancer Center, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Brian Wolpin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Gastrointestinal Cancer Center, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Jun Qi
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Nilay S Sethi
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
- Broad Institute of Massachusetts Institute of Technology (MIT) and Harvard University, Cambridge, MA, USA.
- Gastrointestinal Cancer Center, Dana-Farber Cancer Institute, Boston, MA, USA.
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