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Herb M, Schatz V, Hadrian K, Hos D, Holoborodko B, Jantsch J, Brigo N. Macrophage variants in laboratory research: most are well done, but some are RAW. Front Cell Infect Microbiol 2024; 14:1457323. [PMID: 39445217 PMCID: PMC11496307 DOI: 10.3389/fcimb.2024.1457323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Accepted: 09/06/2024] [Indexed: 10/25/2024] Open
Abstract
Macrophages play a pivotal role in the innate immune response. While their most characteristic function is phagocytosis, it is important not to solely characterize macrophages by this activity. Their crucial roles in body development, homeostasis, repair, and immune responses against pathogens necessitate a broader understanding. Macrophages exhibit remarkable plasticity, allowing them to modify their functional characteristics in response to the tissue microenvironment (tissue type, presence of pathogens or inflammation, and specific signals from neighboring cells) swiftly. While there is no single defined "macrophage" entity, there is a diverse array of macrophage types because macrophage ontogeny involves the differentiation of progenitor cells into tissue-resident macrophages, as well as the recruitment and differentiation of circulating monocytes in response to tissue-specific cues. In addition, macrophages continuously sense and respond to environmental cues and tissue conditions, adjusting their functional and metabolic states accordingly. Consequently, it is of paramount importance to comprehend the heterogeneous origins and functions of macrophages employed in in vitro studies, as each available in vitro macrophage model is associated with specific sets of strengths and limitations. This review centers its attention on a comprehensive comparison between immortalized mouse macrophage cell lines and primary mouse macrophages. It provides a detailed analysis of the strengths and weaknesses inherent in these in vitro models. Finally, it explores the subtle distinctions between diverse macrophage cell lines, offering insights into numerous factors beyond the model type that can profoundly influence macrophage function.
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Affiliation(s)
- Marc Herb
- Institute for Medical Microbiology, Immunology and Hygiene, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Valentin Schatz
- Institute for Medical Microbiology, Immunology and Hygiene, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Karina Hadrian
- Department of Ophthalmology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Deniz Hos
- Department of Ophthalmology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Bohdan Holoborodko
- Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg and University of Regensburg, Regensburg, Germany
| | - Jonathan Jantsch
- Institute for Medical Microbiology, Immunology and Hygiene, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Natascha Brigo
- Institute for Medical Microbiology, Immunology and Hygiene, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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2
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Kudo T, Meireles AM, Moncada R, Chen Y, Wu P, Gould J, Hu X, Kornfeld O, Jesudason R, Foo C, Höckendorf B, Corrada Bravo H, Town JP, Wei R, Rios A, Chandrasekar V, Heinlein M, Chuong AS, Cai S, Lu CS, Coelho P, Mis M, Celen C, Kljavin N, Jiang J, Richmond D, Thakore P, Benito-Gutiérrez E, Geiger-Schuller K, Hleap JS, Kayagaki N, de Sousa E Melo F, McGinnis L, Li B, Singh A, Garraway L, Rozenblatt-Rosen O, Regev A, Lubeck E. Multiplexed, image-based pooled screens in primary cells and tissues with PerturbView. Nat Biotechnol 2024:10.1038/s41587-024-02391-0. [PMID: 39375449 DOI: 10.1038/s41587-024-02391-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 08/20/2024] [Indexed: 10/09/2024]
Abstract
Optical pooled screening (OPS) is a scalable method for linking image-based phenotypes with cellular perturbations. However, it has thus far been restricted to relatively low-plex phenotypic readouts in cancer cell lines in culture due to limitations associated with in situ sequencing of perturbation barcodes. Here, we develop PerturbView, an OPS technology that leverages in vitro transcription to amplify barcodes before in situ sequencing, enabling screens with highly multiplexed phenotypic readouts across diverse systems, including primary cells and tissues. We demonstrate PerturbView in induced pluripotent stem cell-derived neurons, primary immune cells and tumor tissue sections from animal models. In a screen of immune signaling pathways in primary bone marrow-derived macrophages, PerturbView uncovered both known and novel regulators of NF-κB signaling. Furthermore, we combine PerturbView with spatial transcriptomics in tissue sections from a mouse xenograft model, paving the way to in situ screens with rich optical and transcriptomic phenotypes. PerturbView broadens the scope of OPS to a wide range of models and applications.
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Affiliation(s)
- Takamasa Kudo
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Ana M Meireles
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Reuben Moncada
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Yushu Chen
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Ping Wu
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Joshua Gould
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Xiaoyu Hu
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Opher Kornfeld
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Rajiv Jesudason
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Conrad Foo
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Burkhard Höckendorf
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Hector Corrada Bravo
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Jason P Town
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Runmin Wei
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Antonio Rios
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | | | - Melanie Heinlein
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Amy S Chuong
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Shuangyi Cai
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA
| | - Cherry Sakura Lu
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
- Faculty of Environment and Information Studies, Keio University, Tokyo, Japan
| | - Paula Coelho
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Monika Mis
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Cemre Celen
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Noelyn Kljavin
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Jian Jiang
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - David Richmond
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Pratiksha Thakore
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Elia Benito-Gutiérrez
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | | | - Jose Sergio Hleap
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
- Bioinformatics Department, ProCogia, Toronto, Ontario, Canada
| | - Nobuhiko Kayagaki
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | | | - Lisa McGinnis
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Bo Li
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Avtar Singh
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Levi Garraway
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Orit Rozenblatt-Rosen
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA
| | - Aviv Regev
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA.
| | - Eric Lubeck
- Genentech Research and Early Development, Genentech, Inc., South San Francisco, CA, USA.
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3
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Rood JE, Hupalowska A, Regev A. Toward a foundation model of causal cell and tissue biology with a Perturbation Cell and Tissue Atlas. Cell 2024; 187:4520-4545. [PMID: 39178831 DOI: 10.1016/j.cell.2024.07.035] [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: 05/03/2024] [Revised: 07/15/2024] [Accepted: 07/21/2024] [Indexed: 08/26/2024]
Abstract
Comprehensively charting the biologically causal circuits that govern the phenotypic space of human cells has often been viewed as an insurmountable challenge. However, in the last decade, a suite of interleaved experimental and computational technologies has arisen that is making this fundamental goal increasingly tractable. Pooled CRISPR-based perturbation screens with high-content molecular and/or image-based readouts are now enabling researchers to probe, map, and decipher genetically causal circuits at increasing scale. This scale is now eminently suitable for the deployment of artificial intelligence and machine learning (AI/ML) to both direct further experiments and to predict or generate information that was not-and sometimes cannot-be gathered experimentally. By combining and iterating those through experiments that are designed for inference, we now envision a Perturbation Cell Atlas as a generative causal foundation model to unify human cell biology.
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Affiliation(s)
| | | | - Aviv Regev
- Genentech, South San Francisco, CA, USA.
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4
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Noguchi Y, Matsui R, Suh J, Dou Y, Suzuki J. Genome-Wide Screening Approaches for Biochemical Reactions Independent of Cell Growth. Annu Rev Genomics Hum Genet 2024; 25:51-76. [PMID: 38692586 DOI: 10.1146/annurev-genom-121222-115958] [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: 05/03/2024]
Abstract
Genome-wide screening is a potent approach for comprehensively understanding the molecular mechanisms of biological phenomena. However, despite its widespread use in the past decades across various biological targets, its application to biochemical reactions with temporal and reversible biological outputs remains a formidable challenge. To uncover the molecular machinery underlying various biochemical reactions, we have recently developed the revival screening method, which combines flow cytometry-based cell sorting with library reconstruction from collected cells. Our refinements to the traditional genome-wide screening technique have proven successful in revealing the molecular machinery of biochemical reactions of interest. In this article, we elucidate the technical basis of revival screening, focusing on its application to CRISPR-Cas9 single guide RNA (sgRNA) library screening. Finally, we also discuss the future of genome-wide screening while describing recent achievements from in vitro and in vivo screening.
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Affiliation(s)
- Yuki Noguchi
- Graduate School of Biostudies, Kyoto University, Kyoto, Japan
- Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Kyoto, Japan;
| | - Risa Matsui
- Graduate School of Biostudies, Kyoto University, Kyoto, Japan
- Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Kyoto, Japan;
| | - Jaeyeon Suh
- Graduate School of Biostudies, Kyoto University, Kyoto, Japan
- Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Kyoto, Japan;
| | - Yu Dou
- Graduate School of Biostudies, Kyoto University, Kyoto, Japan
- Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Kyoto, Japan;
| | - Jun Suzuki
- Center for Integrated Biosystems, Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- Core Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency, Kawaguchi, Japan
- Graduate School of Biostudies, Kyoto University, Kyoto, Japan
- Institute for Integrated Cell-Material Sciences (WPI-iCeMS), Kyoto University, Kyoto, Japan;
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5
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Chen B, Deng Y, Ren X, Zhao J, Jiang C. CRISPR/Cas9 screening: unraveling cancer immunotherapy's 'Rosetta Stone'. Trends Mol Med 2024; 30:736-749. [PMID: 38763850 DOI: 10.1016/j.molmed.2024.04.014] [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: 02/19/2024] [Revised: 04/10/2024] [Accepted: 04/19/2024] [Indexed: 05/21/2024]
Abstract
Clustered regularly interspaced palindromic repeats (CRISPR)-based technology, a powerful toolset for the unbiased functional genomic screening of biological processes, has facilitated several scientific breakthroughs in the biomedical field. Cancer immunotherapy has advanced the treatment of numerous malignancies that previously had restricted treatment options or unfavorable outcomes. In the realm of cancer immunotherapy, the application of CRISPR/CRISPR-associated protein 9 (Cas9)-based genetic perturbation screening has enabled the identification of genes, biomarkers, and signaling pathways that govern various cancer immunoreactivities, as well as the development of effective immunotherapeutic targets. In this review, we summarize the advances in CRISPR/Cas9-based screening for cancer immunotherapy and outline the immunotherapeutic targets identified via CRISPR screening based on cancer-type classification.
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Affiliation(s)
- Baoxiang Chen
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China; Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan 430071, China; Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan 430071, China; Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, QC H3G 0B1, Canada
| | - Yanrong Deng
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China; Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan 430071, China; Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan 430071, China
| | - Xianghai Ren
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China; Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan 430071, China; Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
| | - Jianhong Zhao
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China; Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan 430071, China; Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
| | - Congqing Jiang
- Department of Colorectal and Anal Surgery, Zhongnan Hospital of Wuhan University, Wuhan 430071, China; Hubei Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital of Wuhan University, Wuhan 430071, China; Clinical Center of Intestinal and Colorectal Diseases of Hubei Province, Zhongnan Hospital of Wuhan University, Wuhan 430071, China.
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6
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Yao D, Binan L, Bezney J, Simonton B, Freedman J, Frangieh CJ, Dey K, Geiger-Schuller K, Eraslan B, Gusev A, Regev A, Cleary B. Scalable genetic screening for regulatory circuits using compressed Perturb-seq. Nat Biotechnol 2024; 42:1282-1295. [PMID: 37872410 PMCID: PMC11035494 DOI: 10.1038/s41587-023-01964-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 08/22/2023] [Indexed: 10/25/2023]
Abstract
Pooled CRISPR screens with single-cell RNA sequencing readout (Perturb-seq) have emerged as a key technique in functional genomics, but they are limited in scale by cost and combinatorial complexity. In this study, we modified the design of Perturb-seq by incorporating algorithms applied to random, low-dimensional observations. Compressed Perturb-seq measures multiple random perturbations per cell or multiple cells per droplet and computationally decompresses these measurements by leveraging the sparse structure of regulatory circuits. Applied to 598 genes in the immune response to bacterial lipopolysaccharide, compressed Perturb-seq achieves the same accuracy as conventional Perturb-seq with an order of magnitude cost reduction and greater power to learn genetic interactions. We identified known and novel regulators of immune responses and uncovered evolutionarily constrained genes with downstream targets enriched for immune disease heritability, including many missed by existing genome-wide association studies. Our framework enables new scales of interrogation for a foundational method in functional genomics.
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Affiliation(s)
- Douglas Yao
- Program in Systems, Synthetic, and Quantitative Biology, Harvard University, Cambridge, MA, USA
| | - Loic Binan
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Jon Bezney
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Brooke Simonton
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Jahanara Freedman
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Chris J Frangieh
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Kushal Dey
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | - Alexander Gusev
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Division of Genetics, Brigham and Women's Hospital, Boston, MA, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Genentech, South San Francisco, CA, USA
| | - Brian Cleary
- Faculty of Computing and Data Sciences, Boston University, Boston, MA, USA.
- Department of Biology, Boston University, Boston, MA, USA.
- Department of Biomedical Engineering, Boston University, Boston, MA, USA.
- Program in Bioinformatics, Boston University, Boston, MA, USA.
- Biological Design Center, Boston University, Boston, MA, USA.
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7
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Piszker W, Simunovic M. The fusion of physics and biology in early mammalian embryogenesis. Curr Top Dev Biol 2024; 160:31-64. [PMID: 38937030 DOI: 10.1016/bs.ctdb.2024.05.001] [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: 06/29/2024]
Abstract
Biomechanics in embryogenesis is a dynamic field intertwining the physical forces and biological processes that shape the first days of a mammalian embryo. From the first cell fate bifurcation during blastulation to the complex symmetry breaking and tissue remodeling in gastrulation, mechanical cues appear critical in cell fate decisions and tissue patterning. Recent strides in mouse and human embryo culture, stem cell modeling of mammalian embryos, and biomaterial design have shed light on the role of cellular forces, cell polarization, and the extracellular matrix in influencing cell differentiation and morphogenesis. This chapter highlights the essential functions of biophysical mechanisms in blastocyst formation, embryo implantation, and early gastrulation where the interplay between the cytoskeleton and extracellular matrix stiffness orchestrates the intricacies of embryogenesis and placenta specification. The advancement of in vitro models like blastoids, gastruloids, and other types of embryoids, has begun to faithfully recapitulate human development stages, offering new avenues for exploring the biophysical underpinnings of early development. The integration of synthetic biology and advanced biomaterials is enhancing the precision with which we can mimic and study these processes. Looking ahead, we emphasize the potential of CRISPR-mediated genomic perturbations coupled with live imaging to uncover new mechanosensitive pathways and the application of engineered biomaterials to fine-tune the mechanical conditions conducive to embryonic development. This synthesis not only bridges the gap between experimental models and in vivo conditions to advancing fundamental developmental biology of mammalian embryogenesis, but also sets the stage for leveraging biomechanical insights to inform regenerative medicine.
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Affiliation(s)
- Walter Piszker
- Department of Chemical Engineering, Fu Foundation School of Engineering and Applied Sciences, Columbia University, New York, NY, United States; Columbia Stem Cell Initiative, Columbia University Irving Medical Center, New York, NY, United States
| | - Mijo Simunovic
- Department of Chemical Engineering, Fu Foundation School of Engineering and Applied Sciences, Columbia University, New York, NY, United States; Columbia Stem Cell Initiative, Columbia University Irving Medical Center, New York, NY, United States; Department of Genetics and Development, Columbia Irving Medical Center, New York, NY, United States.
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8
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Barber MF, Fitzgerald JR. Mechanisms of host adaptation by bacterial pathogens. FEMS Microbiol Rev 2024; 48:fuae019. [PMID: 39003250 PMCID: PMC11308195 DOI: 10.1093/femsre/fuae019] [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: 04/15/2024] [Revised: 07/02/2024] [Accepted: 07/24/2024] [Indexed: 07/15/2024] Open
Abstract
The emergence of new infectious diseases poses a major threat to humans, animals, and broader ecosystems. Defining factors that govern the ability of pathogens to adapt to new host species is therefore a crucial research imperative. Pathogenic bacteria are of particular concern, given dwindling treatment options amid the continued expansion of antimicrobial resistance. In this review, we summarize recent advancements in the understanding of bacterial host species adaptation, with an emphasis on pathogens of humans and related mammals. We focus particularly on molecular mechanisms underlying key steps of bacterial host adaptation including colonization, nutrient acquisition, and immune evasion, as well as suggest key areas for future investigation. By developing a greater understanding of the mechanisms of host adaptation in pathogenic bacteria, we may uncover new strategies to target these microbes for the treatment and prevention of infectious diseases in humans, animals, and the broader environment.
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Affiliation(s)
- Matthew F Barber
- Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403, United States
- Department of Biology, University of Oregon, Eugene, OR 97403, United States
| | - J Ross Fitzgerald
- The Roslin Institute, University of Edinburgh, Midlothian, EH25 9RG, United Kingdom
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9
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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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10
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Kennedy PH, Alborzian Deh Sheikh A, Balakar M, Jones AC, Olive ME, Hegde M, Matias MI, Pirete N, Burt R, Levy J, Little T, Hogan PG, Liu DR, Doench JG, Newton AC, Gottschalk RA, de Boer CG, Alarcón S, Newby GA, Myers SA. Post-translational modification-centric base editor screens to assess phosphorylation site functionality in high throughput. Nat Methods 2024; 21:1033-1043. [PMID: 38684783 DOI: 10.1038/s41592-024-02256-z] [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: 10/16/2023] [Accepted: 03/20/2024] [Indexed: 05/02/2024]
Abstract
Signaling pathways that drive gene expression are typically depicted as having a dozen or so landmark phosphorylation and transcriptional events. In reality, thousands of dynamic post-translational modifications (PTMs) orchestrate nearly every cellular function, and we lack technologies to find causal links between these vast biochemical pathways and genetic circuits at scale. Here we describe the high-throughput, functional assessment of phosphorylation sites through the development of PTM-centric base editing coupled to phenotypic screens, directed by temporally resolved phosphoproteomics. Using T cell activation as a model, we observe hundreds of unstudied phosphorylation sites that modulate NFAT transcriptional activity. We identify the phosphorylation-mediated nuclear localization of PHLPP1, which promotes NFAT but inhibits NFκB activity. We also find that specific phosphosite mutants can alter gene expression in subtle yet distinct patterns, demonstrating the potential for fine-tuning transcriptional responses. Overall, base editor screening of PTM sites provides a powerful platform to dissect PTM function within signaling pathways.
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Affiliation(s)
- Patrick H Kennedy
- Laboratory for Immunochemical Circuits, La Jolla Institute for Immunology, La Jolla, CA, USA
- Center of Autoimmunity and Inflammation, La Jolla Institute for Immunology, La Jolla, CA, USA
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Amin Alborzian Deh Sheikh
- Laboratory for Immunochemical Circuits, La Jolla Institute for Immunology, La Jolla, CA, USA
- Center of Autoimmunity and Inflammation, La Jolla Institute for Immunology, La Jolla, CA, USA
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, CA, USA
| | | | - Alexander C Jones
- Department of Pharmacology, University of California San Diego, San Diego, CA, USA
- Biomedical Sciences Graduate Program, University of California San Diego, San Diego, CA, USA
| | | | - Mudra Hegde
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Maria I Matias
- Laboratory for Immunochemical Circuits, La Jolla Institute for Immunology, La Jolla, CA, USA
- Center of Autoimmunity and Inflammation, La Jolla Institute for Immunology, La Jolla, CA, USA
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Natan Pirete
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rajan Burt
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jonathan Levy
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Tamia Little
- Laboratory for Immunochemical Circuits, La Jolla Institute for Immunology, La Jolla, CA, USA
- Center of Autoimmunity and Inflammation, La Jolla Institute for Immunology, La Jolla, CA, USA
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Patrick G Hogan
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, CA, USA
- Program in Immunology, University of California San Diego, San Diego, CA, USA
- Moores Cancer Center, University of California San Diego Health, La Jolla, CA, USA
| | - David R Liu
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - John G Doench
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alexandra C Newton
- Department of Pharmacology, University of California San Diego, San Diego, CA, USA
| | - Rachel A Gottschalk
- Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Carl G de Boer
- School of Biomedical Engineering, University of British Columbia, Vancouver, British Columbia, Canada
| | - Suzie Alarcón
- La Jolla Institute for Immunology, La Jolla, CA, USA
- AUGenomics, San Diego, CA, USA
| | - Gregory A Newby
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Samuel A Myers
- Laboratory for Immunochemical Circuits, La Jolla Institute for Immunology, La Jolla, CA, USA.
- Center of Autoimmunity and Inflammation, La Jolla Institute for Immunology, La Jolla, CA, USA.
- Division of Signaling and Gene Expression, La Jolla Institute for Immunology, La Jolla, CA, USA.
- Department of Pharmacology, University of California San Diego, San Diego, CA, USA.
- Program in Immunology, University of California San Diego, San Diego, CA, USA.
- Moores Cancer Center, University of California San Diego Health, La Jolla, CA, USA.
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11
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Bell CC, Balic JJ, Talarmain L, Gillespie A, Scolamiero L, Lam EYN, Ang CS, Faulkner GJ, Gilan O, Dawson MA. Comparative cofactor screens show the influence of transactivation domains and core promoters on the mechanisms of transcription. Nat Genet 2024; 56:1181-1192. [PMID: 38769457 DOI: 10.1038/s41588-024-01749-z] [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: 11/30/2023] [Accepted: 04/09/2024] [Indexed: 05/22/2024]
Abstract
Eukaryotic transcription factors (TFs) activate gene expression by recruiting cofactors to promoters. However, the relationships between TFs, promoters and their associated cofactors remain poorly understood. Here we combine GAL4-transactivation assays with comparative CRISPR-Cas9 screens to identify the cofactors used by nine different TFs and core promoters in human cells. Using this dataset, we associate TFs with cofactors, classify cofactors as ubiquitous or specific and discover transcriptional co-dependencies. Through a reductionistic, comparative approach, we demonstrate that TFs do not display discrete mechanisms of activation. Instead, each TF depends on a unique combination of cofactors, which influences distinct steps in transcription. By contrast, the influence of core promoters appears relatively discrete. Different promoter classes are constrained by either initiation or pause-release, which influences their dynamic range and compatibility with cofactors. Overall, our comparative cofactor screens characterize the interplay between TFs, cofactors and core promoters, identifying general principles by which they influence transcription.
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Affiliation(s)
- Charles C Bell
- Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.
- Mater Research Institute, University of Queensland, TRI Building, Woolloongabba, Queensland, Australia.
| | - Jesse J Balic
- Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Laure Talarmain
- Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Andrea Gillespie
- Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Laura Scolamiero
- Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Enid Y N Lam
- Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Ching-Seng Ang
- Bio21 Mass Spectrometry and Proteomics Facility, The University of Melbourne, Parkville, Victoria, Australia
| | - Geoffrey J Faulkner
- Mater Research Institute, University of Queensland, TRI Building, Woolloongabba, Queensland, Australia
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Omer Gilan
- Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Australian Centre for Blood Diseases, Monash University, Melbourne, Victoria, Australia
| | - Mark A Dawson
- Cancer Research Division, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia.
- Department of Haematology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
- Centre for Cancer Research, University of Melbourne, Melbourne, Victoria, Australia.
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12
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Villiger L, Joung J, Koblan L, Weissman J, Abudayyeh OO, Gootenberg JS. CRISPR technologies for genome, epigenome and transcriptome editing. Nat Rev Mol Cell Biol 2024; 25:464-487. [PMID: 38308006 DOI: 10.1038/s41580-023-00697-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/18/2023] [Indexed: 02/04/2024]
Abstract
Our ability to edit genomes lags behind our capacity to sequence them, but the growing understanding of CRISPR biology and its application to genome, epigenome and transcriptome engineering is narrowing this gap. In this Review, we discuss recent developments of various CRISPR-based systems that can transiently or permanently modify the genome and the transcriptome. The discovery of further CRISPR enzymes and systems through functional metagenomics has meaningfully broadened the applicability of CRISPR-based editing. Engineered Cas variants offer diverse capabilities such as base editing, prime editing, gene insertion and gene regulation, thereby providing a panoply of tools for the scientific community. We highlight the strengths and weaknesses of current CRISPR tools, considering their efficiency, precision, specificity, reliance on cellular DNA repair mechanisms and their applications in both fundamental biology and therapeutics. Finally, we discuss ongoing clinical trials that illustrate the potential impact of CRISPR systems on human health.
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Affiliation(s)
- Lukas Villiger
- McGovern Institute for Brain Research, Massachusetts Institute of Technology Cambridge, Cambridge, MA, USA
| | - Julia Joung
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Luke Koblan
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jonathan Weissman
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
- Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Omar O Abudayyeh
- McGovern Institute for Brain Research, Massachusetts Institute of Technology Cambridge, Cambridge, MA, USA.
| | - Jonathan S Gootenberg
- McGovern Institute for Brain Research, Massachusetts Institute of Technology Cambridge, Cambridge, MA, USA.
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13
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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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14
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Borrelli C, Gurtner A, Arnold IC, Moor AE. Stress-free single-cell transcriptomic profiling and functional genomics of murine eosinophils. Nat Protoc 2024; 19:1679-1709. [PMID: 38504138 DOI: 10.1038/s41596-024-00967-3] [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: 04/17/2023] [Accepted: 12/20/2023] [Indexed: 03/21/2024]
Abstract
Eosinophils are a class of granulocytes with pleiotropic functions in homeostasis and various human diseases. Nevertheless, they are absent from conventional single-cell RNA sequencing atlases owing to technical difficulties preventing their transcriptomic interrogation. Consequently, eosinophil heterogeneity and the gene regulatory networks underpinning their diverse functions remain poorly understood. We have developed a stress-free protocol for single-cell RNA capture from murine tissue-resident eosinophils, which revealed distinct intestinal subsets and their roles in colitis. Here we describe in detail how to enrich eosinophils from multiple tissues of residence and how to capture high-quality single-cell transcriptomes by preventing transcript degradation. By combining magnetic eosinophil enrichment with microwell-based single-cell RNA capture (BD Rhapsody), our approach minimizes shear stress and processing time. Moreover, we report how to perform genome-wide CRISPR pooled genetic screening in ex vivo-conditioned bone marrow-derived eosinophils to functionally probe pathways required for their differentiation and intestinal maturation. These protocols can be performed by any researcher with basic skills in molecular biology and flow cytometry, and can be adapted to investigate other granulocytes, such as neutrophils and mast cells, thereby offering potential insights into their roles in both homeostasis and disease pathogenesis. Single-cell transcriptomics of eosinophils can be performed in 2-3 d, while functional genomics assays may require up to 1 month.
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Affiliation(s)
- Costanza Borrelli
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
| | - Alessandra Gurtner
- Institute of Experimental Immunology, University of Zürich, Zürich, Switzerland
| | - Isabelle C Arnold
- Institute of Experimental Immunology, University of Zürich, Zürich, Switzerland.
| | - Andreas E Moor
- Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
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15
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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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16
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Ciucci G, Braga L, Zacchigna S. Discovery platforms for RNA therapeutics. Br J Pharmacol 2024. [PMID: 38760893 DOI: 10.1111/bph.16424] [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: 11/29/2023] [Revised: 04/14/2024] [Accepted: 04/19/2024] [Indexed: 05/20/2024] Open
Abstract
RNA therapeutics are emerging as a unique opportunity to drug currently "undruggable" molecules and diseases. While their advantages over conventional, small molecule drugs, their therapeutic implications and the tools for their effective in vivo delivery have been extensively reviewed, little attention has been so far paid to the technological platforms exploited for the discovery of RNA therapeutics. Here, we provide an overview of the existing platforms and ex vivo assays for RNA discovery, their advantages and disadvantages, as well as their main fields of application, with specific focus on RNA therapies that have reached either phase 3 or market approval.
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Affiliation(s)
- Giulio Ciucci
- Cardiovascular Biology Laboratory, International Centre for Genetic Engineering and Biotechnology, Trieste, Italy
| | - Luca Braga
- Functional Cell Biology Laboratory, International Centre for Genetic Engineering and Biotechnology, Trieste, Italy
| | - Serena Zacchigna
- Cardiovascular Biology Laboratory, International Centre for Genetic Engineering and Biotechnology, Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
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17
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Wang Z, Wang H, Lin S, Angers S, Sargent EH, Kelley SO. Phenotypic targeting using magnetic nanoparticles for rapid characterization of cellular proliferation regulators. SCIENCE ADVANCES 2024; 10:eadj1468. [PMID: 38718125 PMCID: PMC11078187 DOI: 10.1126/sciadv.adj1468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 04/03/2024] [Indexed: 05/12/2024]
Abstract
Genome-wide CRISPR screens have provided a systematic way to identify essential genetic regulators of a phenotype of interest with single-cell resolution. However, most screens use live/dead readout of viability to identify factors of interest. Here, we describe an approach that converts cell proliferation into the degree of magnetization, enabling downstream microfluidic magnetic sorting to be performed. We performed a head-to-head comparison and verified that the magnetic workflow can identify the same hits from a traditional screen while reducing the screening period from 4 weeks to 1 week. Taking advantage of parallelization and performance, we screened multiple mesenchymal cancer cell lines for their dependency on cell proliferation. We found and validated pan- and cell-specific potential therapeutic targets. The method presented provides a nanoparticle-enabled approach means to increase the breadth of data collected in CRISPR screens, enabling the rapid discovery of drug targets for treatment.
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Affiliation(s)
- Zongjie Wang
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto M5S 3M2, Canada
| | - Hansen Wang
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto M5S 3M2, Canada
| | - Sichun Lin
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto M5S 3M2, Canada
- Terrence Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, Toronto M5S 3E1, Canada
| | - Stephane Angers
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto M5S 3M2, Canada
- Terrence Donnelly Centre for Cellular & Biomolecular Research, University of Toronto, Toronto M5S 3E1, Canada
| | - Edward H. Sargent
- The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, Toronto M5S 3G4, Canada
- Department of Chemistry, Weinberg College of Arts and Science, Northwestern University, Evanston, IL 60208, USA
- Department of Electrical and Computer Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL 60208, USA
- International Institute for Nanotechnology, Northwestern University, Evanston, IL 60208, USA
| | - Shana O. Kelley
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL 60208, USA
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto M5S 3M2, Canada
- The Edward S. Rogers Sr. Department of Electrical & Computer Engineering, University of Toronto, Toronto M5S 3G4, Canada
- Department of Chemistry, Weinberg College of Arts and Science, Northwestern University, Evanston, IL 60208, USA
- International Institute for Nanotechnology, Northwestern University, Evanston, IL 60208, USA
- Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL 60611, USA
- Simpson Querrey Institute, Northwestern University, Chicago, IL 60611, USA
- Chan Zuckerberg Biohub Chicago, Chicago, IL 60607, USA
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18
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Li C, Fu J, Shao S, Luo ZQ. Legionella pneumophila exploits the endo-lysosomal network for phagosome biogenesis by co-opting SUMOylated Rab7. PLoS Pathog 2024; 20:e1011783. [PMID: 38739652 PMCID: PMC11115209 DOI: 10.1371/journal.ppat.1011783] [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: 10/30/2023] [Revised: 05/23/2024] [Accepted: 04/30/2024] [Indexed: 05/16/2024] Open
Abstract
Legionella pneumophila strains harboring wild-type rpsL such as Lp02rpsLWT cannot replicate in mouse bone marrow-derived macrophages (BMDMs) due to induction of extensive lysosome damage and apoptosis. The bacterial factor directly responsible for inducing such cell death and the host factor involved in initiating the signaling cascade that leads to lysosome damage remain unknown. Similarly, host factors that may alleviate cell death induced by these bacterial strains have not yet been investigated. Using a genome-wide CRISPR/Cas9 screening, we identified Hmg20a and Nol9 as host factors important for restricting strain Lp02rpsLWT in BMDMs. Depletion of Hmg20a protects macrophages from infection-induced lysosomal damage and apoptosis, allowing productive bacterial replication. The restriction imposed by Hmg20a was mediated by repressing the expression of several endo-lysosomal proteins, including the small GTPase Rab7. We found that SUMOylated Rab7 is recruited to the bacterial phagosome via SulF, a Dot/Icm effector that harbors a SUMO-interacting motif (SIM). Moreover, overexpression of Rab7 rescues intracellular growth of strain Lp02rpsLWT in BMDMs. Our results establish that L. pneumophila exploits the lysosomal network for the biogenesis of its phagosome in BMDMs.
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Affiliation(s)
- Chuang Li
- Purdue Institute of Inflammation, Immunology and Infectious Disease, Department of Biological Sciences, Purdue University, West Lafayette, Indiana, United States of America
| | - Jiaqi Fu
- Purdue Institute of Inflammation, Immunology and Infectious Disease, Department of Biological Sciences, Purdue University, West Lafayette, Indiana, United States of America
| | - Shuai Shao
- College of Pharmacy, The Ohio State University, Columbus, Ohio, United States of America
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America
| | - Zhao-Qing Luo
- Purdue Institute of Inflammation, Immunology and Infectious Disease, Department of Biological Sciences, Purdue University, West Lafayette, Indiana, United States of America
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19
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Lampson BL, Ramίrez AS, Baro M, He L, Hegde M, Koduri V, Pfaff JL, Hanna RE, Kowal J, Shirole NH, He Y, Doench JG, Contessa JN, Locher KP, Kaelin WG. Positive selection CRISPR screens reveal a druggable pocket in an oligosaccharyltransferase required for inflammatory signaling to NF-κB. Cell 2024; 187:2209-2223.e16. [PMID: 38670073 PMCID: PMC11149550 DOI: 10.1016/j.cell.2024.03.022] [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: 07/17/2023] [Revised: 09/29/2023] [Accepted: 03/18/2024] [Indexed: 04/28/2024]
Abstract
Nuclear factor κB (NF-κB) plays roles in various diseases. Many inflammatory signals, such as circulating lipopolysaccharides (LPSs), activate NF-κB via specific receptors. Using whole-genome CRISPR-Cas9 screens of LPS-treated cells that express an NF-κB-driven suicide gene, we discovered that the LPS receptor Toll-like receptor 4 (TLR4) is specifically dependent on the oligosaccharyltransferase complex OST-A for N-glycosylation and cell-surface localization. The tool compound NGI-1 inhibits OST complexes in vivo, but the underlying molecular mechanism remained unknown. We did a CRISPR base-editor screen for NGI-1-resistant variants of STT3A, the catalytic subunit of OST-A. These variants, in conjunction with cryoelectron microscopy studies, revealed that NGI-1 binds the catalytic site of STT3A, where it traps a molecule of the donor substrate dolichyl-PP-GlcNAc2-Man9-Glc3, suggesting an uncompetitive inhibition mechanism. Our results provide a rationale for and an initial step toward the development of STT3A-specific inhibitors and illustrate the power of contemporaneous base-editor and structural studies to define drug mechanism of action.
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Affiliation(s)
- Benjamin L Lampson
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA
| | - Ana S Ramίrez
- Institute of Molecular Biology and Biophysics, Eidgenössische Technische Hochschule (ETH), Zürich, Switzerland
| | - Marta Baro
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Lixia He
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA
| | - Mudra Hegde
- Genetic Perturbation Platform, Broad Institute, Cambridge, MA 02142, USA
| | - Vidyasagar Koduri
- Division of Hematology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA
| | - Jamie L Pfaff
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA
| | - Ruth E Hanna
- Genetic Perturbation Platform, Broad Institute, Cambridge, MA 02142, USA
| | - Julia Kowal
- Institute of Molecular Biology and Biophysics, Eidgenössische Technische Hochschule (ETH), Zürich, Switzerland
| | - Nitin H Shirole
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA
| | - Yanfeng He
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA
| | - John G Doench
- Genetic Perturbation Platform, Broad Institute, Cambridge, MA 02142, USA
| | - Joseph N Contessa
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT 06510, USA
| | - Kaspar P Locher
- Institute of Molecular Biology and Biophysics, Eidgenössische Technische Hochschule (ETH), Zürich, Switzerland.
| | - William G Kaelin
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02215, USA.
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20
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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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21
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Djajawi TM, Wichmann J, Vervoort SJ, Kearney CJ. Tumor immune evasion: insights from CRISPR screens and future directions. FEBS J 2024; 291:1386-1399. [PMID: 37971319 DOI: 10.1111/febs.17003] [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: 09/03/2023] [Revised: 11/02/2023] [Accepted: 11/13/2023] [Indexed: 11/19/2023]
Abstract
Despite the clinical success of cancer immunotherapies including immune checkpoint blockade and adoptive cellular therapies across a variety of cancer types, many patients do not respond or ultimately relapse; however, the molecular underpinnings of this are not fully understood. Thus, a system-level understating of the routes to tumor immune evasion is required to inform the design of the next generation of immunotherapy approaches. CRISPR screening approaches have proved extremely powerful in identifying genes that promote tumor immune evasion or sensitize tumor cells to destruction by the immune system. These large-scale efforts have brought to light decades worth of fundamental immunology and have uncovered the key immune-evasion pathways subverted in cancers in an acquired manner in patients receiving immune-modulatory therapies. The comprehensive discovery of the main pathways involved in immune evasion has spurred the development and application of novel immune therapies to target this process. Although successful, conventional CRISPR screening approaches are hampered by a number of limitations, which obfuscate a complete understanding of the precise molecular regulation of immune evasion in cancer. Here, we provide a perspective on screening approaches to interrogate tumor-lymphocyte interactions and their limitations, and discuss further development of technologies to improve such approaches and discovery capability.
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Affiliation(s)
- Tirta Mario Djajawi
- Olivia Newton-John Cancer Research Institute, Heidelberg, Vic., Australia
- School of Cancer Medicine, La Trobe University, Melbourne, Vic., Australia
| | - Johannes Wichmann
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Vic., Australia
| | - Stephin J Vervoort
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Vic., Australia
| | - Conor J Kearney
- Olivia Newton-John Cancer Research Institute, Heidelberg, Vic., Australia
- School of Cancer Medicine, La Trobe University, Melbourne, Vic., Australia
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22
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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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23
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Milling LE, Markson SC, Tjokrosurjo Q, Derosia NM, Streeter IS, Hickok GH, Lemmen AM, Nguyen TH, Prathima P, Fithian W, Schwartz MA, Hacohen N, Doench JG, LaFleur MW, Sharpe AH. Framework for in vivo T cell screens. J Exp Med 2024; 221:e20230699. [PMID: 38411617 PMCID: PMC10899089 DOI: 10.1084/jem.20230699] [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: 04/24/2023] [Revised: 12/14/2023] [Accepted: 01/19/2024] [Indexed: 02/28/2024] Open
Abstract
In vivo T cell screens are a powerful tool for elucidating complex mechanisms of immunity, yet there is a lack of consensus on the screen design parameters required for robust in vivo screens: gene library size, cell transfer quantity, and number of mice. Here, we describe the Framework for In vivo T cell Screens (FITS) to provide experimental and analytical guidelines to determine optimal parameters for diverse in vivo contexts. As a proof-of-concept, we used FITS to optimize the parameters for a CD8+ T cell screen in the B16-OVA tumor model. We also included unique molecular identifiers (UMIs) in our screens to (1) improve statistical power and (2) track T cell clonal dynamics for distinct gene knockouts (KOs) across multiple tissues. These findings provide an experimental and analytical framework for performing in vivo screens in immune cells and illustrate a case study for in vivo T cell screens with UMIs.
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Affiliation(s)
- Lauren E. Milling
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women’s Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Samuel C. Markson
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women’s Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Qin Tjokrosurjo
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women’s Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Nicole M. Derosia
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women’s Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Ivy S.L. Streeter
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women’s Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Grant H. Hickok
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women’s Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Ashlyn M. Lemmen
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women’s Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Thao H. Nguyen
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women’s Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Priyamvada Prathima
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women’s Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - William Fithian
- Department of Statistics, University of California, Berkeley, Berkeley, CA, USA
| | - Marc A. Schwartz
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Medicine, Massachusetts General Hospital Cancer Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Nir Hacohen
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Medicine, Massachusetts General Hospital Cancer Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - John G. Doench
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Martin W. LaFleur
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women’s Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Arlene H. Sharpe
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Gene Lay Institute of Immunology and Inflammation, Brigham and Women’s Hospital, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA, USA
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24
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Labib M, Wang Z, Kim Y, Lin S, Abdrabou A, Yousefi H, Lo PY, Angers S, Sargent EH, Kelley SO. Identification of druggable regulators of cell secretion via a kinome-wide screen and high-throughput immunomagnetic cell sorting. Nat Biomed Eng 2024; 8:263-277. [PMID: 38012306 DOI: 10.1038/s41551-023-01135-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: 03/18/2022] [Accepted: 10/16/2023] [Indexed: 11/29/2023]
Abstract
The identification of genetic regulators of cell secretions is challenging because it requires the sorting of a large number of cells according to their secretion patterns. Here we report the development and applicability of a high-throughput microfluidic method for the analysis of the secretion levels of large populations of immune cells. The method is linked with a kinome-wide loss-of-function CRISPR screen, immunomagnetically sorting the cells according to their secretion levels, and the sequencing of their genomes to identify key genetic modifiers of cell secretion. We used the method, which we validated against flow cytometry for cytokines secreted from primary mouse CD4+ (cluster of differentiation 4-positive) T cells, to discover a subgroup of highly co-expressed kinase-coding genes that regulate interferon-gamma secretion by these cells. We validated the function of the kinases identified using RNA interference, CRISPR knockouts and kinase inhibitors and confirmed the druggability of selected kinases via the administration of a kinase inhibitor in an animal model of colitis. The technique may facilitate the discovery of regulatory mechanisms for immune-cell activation and of therapeutic targets for autoimmune diseases.
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Affiliation(s)
- Mahmoud Labib
- Peninsula Medical School, Faculty of Health, University of Plymouth, Plymouth, UK
- Department of Chemistry, Northwestern University, Evanston, IL, USA
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Zongjie Wang
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
| | - Yunhye Kim
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Sichun Lin
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Abdalla Abdrabou
- Robert H. Laurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA
| | - Hanie Yousefi
- Department of Chemistry, Northwestern University, Evanston, IL, USA
| | - Pei-Ying Lo
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
| | - Stéphane Angers
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada
- Donnelly Centre for Cellular and Biomolecular Research, Toronto, Ontario, Canada
| | - Edward H Sargent
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
- Department of Electrical & Computer Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Shana O Kelley
- Department of Chemistry, Northwestern University, Evanston, IL, USA.
- Department of Pharmaceutical Sciences, University of Toronto, Toronto, Ontario, Canada.
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA.
- Robert H. Laurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA.
- Department of Biochemistry, University of Toronto, Toronto, Ontario, Canada.
- Donnelly Centre for Cellular and Biomolecular Research, Toronto, Ontario, Canada.
- Institute for Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada.
- Chan Zuckerberg Biohub Chicago, Chicago, IL, USA.
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25
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Sun H, Chen J, Wang R, Liu D, Zhang N, Zhang T, Jia L, Ma S, Xia Q. Genome-wide CRISPR screening reveals key genes and pathways associated with 20-hydroxyecdysone signal transduction in the silkworm (Bombyx mori). INSECT SCIENCE 2024; 31:47-58. [PMID: 37368860 DOI: 10.1111/1744-7917.13237] [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: 11/29/2022] [Revised: 05/03/2023] [Accepted: 05/05/2023] [Indexed: 06/29/2023]
Abstract
Metamorphosis is a complex developmental process involving multiple pathways and a large number of genes that are regulated by juvenile hormone (JH) and 20-hydroxyecdysone (20E). Despite important progress in understanding various aspects of silkworm biology, the hormone signaling pathway in the silkworm remains poorly understood. Genome-wide screening using clustered regularly interspaced short palindromic repeats (CRISPR) / CRISPR-associated protein 9 (Cas9)-based libraries has recently emerged as a novel method for analyzing genome function, enabling further research into essential genes, drug targets, and virus-host interaction. Previously, we constructed a genome-wide CRISPR/Cas9-based library of the silkworm (Bombyx mori) and successfully revealed the genes involved in biotic or abiotic stress factor responses. In this study, we used our silkworm CRISPR library and large-scale genome-wide screening to analyze the key genes in the silkworm 20E signaling pathway and their mechanisms of action. Functional annotation showed that 20E regulates key proteins in processes that mainly occur in the cytoplasm and nucleus. Pathway enrichment analysis showed that 20E can activate phosphorylation and may affect innate immunity, interfere with intracellular nutrition and energy metabolism, and eventually cause cell apoptosis. The screening results were experimentally validated by generating cells with knockout alleles of the relevant genes, which had increased tolerance to 20E. Our findings provide a panoramic overview of signaling in response to 20E in the silkworm, underscoring the utility of genome-wide CRISPR mutant libraries in deciphering hormone signaling pathways and the mechanisms that regulate metamorphosis in insects.
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Affiliation(s)
- Hao Sun
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing, China
- Biological Science Research Center, Southwest University, Chongqing, China
| | - Jingya Chen
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing, China
- Biological Science Research Center, Southwest University, Chongqing, China
| | - Ruolin Wang
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing, China
- Biological Science Research Center, Southwest University, Chongqing, China
| | - Dan Liu
- Biological Science Research Center, Southwest University, Chongqing, China
| | - Na Zhang
- Biological Science Research Center, Southwest University, Chongqing, China
| | - Tong Zhang
- Biological Science Research Center, Southwest University, Chongqing, China
| | - Ling Jia
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing, China
- Biological Science Research Center, Southwest University, Chongqing, China
| | - Sanyuan Ma
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing, China
- Biological Science Research Center, Southwest University, Chongqing, China
| | - Qingyou Xia
- State Key Laboratory of Silkworm Genome Biology, Southwest University, Chongqing, China
- Biological Science Research Center, Southwest University, Chongqing, China
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26
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Schmidt R, Ward CC, Dajani R, Armour-Garb Z, Ota M, Allain V, Hernandez R, Layeghi M, Xing G, Goudy L, Dorovskyi D, Wang C, Chen YY, Ye CJ, Shy BR, Gilbert LA, Eyquem J, Pritchard JK, Dodgson SE, Marson A. Base-editing mutagenesis maps alleles to tune human T cell functions. Nature 2024; 625:805-812. [PMID: 38093011 PMCID: PMC11065414 DOI: 10.1038/s41586-023-06835-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 11/03/2023] [Indexed: 12/18/2023]
Abstract
CRISPR-enabled screening is a powerful tool for the discovery of genes that control T cell function and has nominated candidate targets for immunotherapies1-6. However, new approaches are required to probe specific nucleotide sequences within key genes. Systematic mutagenesis in primary human T cells could reveal alleles that tune specific phenotypes. DNA base editors are powerful tools for introducing targeted mutations with high efficiency7,8. Here we develop a large-scale base-editing mutagenesis platform with the goal of pinpointing nucleotides that encode amino acid residues that tune primary human T cell activation responses. We generated a library of around 117,000 single guide RNA molecules targeting base editors to protein-coding sites across 385 genes implicated in T cell function and systematically identified protein domains and specific amino acid residues that regulate T cell activation and cytokine production. We found a broad spectrum of alleles with variants encoding critical residues in proteins including PIK3CD, VAV1, LCP2, PLCG1 and DGKZ, including both gain-of-function and loss-of-function mutations. We validated the functional effects of many alleles and further demonstrated that base-editing hits could positively and negatively tune T cell cytotoxic function. Finally, higher-resolution screening using a base editor with relaxed protospacer-adjacent motif requirements9 (NG versus NGG) revealed specific structural domains and protein-protein interaction sites that can be targeted to tune T cell functions. Base-editing screens in primary immune cells thus provide biochemical insights with the potential to accelerate immunotherapy design.
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Affiliation(s)
- Ralf Schmidt
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA.
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
| | - Carl C Ward
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA.
| | - Rama Dajani
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Zev Armour-Garb
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Mineto Ota
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Vincent Allain
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Université Paris Cité, INSERM UMR976, Hôpital Saint-Louis, Paris, France
| | - Rosmely Hernandez
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Madeline Layeghi
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Galen Xing
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Laine Goudy
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Dmytro Dorovskyi
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Charlotte Wang
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, CA, USA
| | - Yan Yi Chen
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Chun Jimmie Ye
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Brian R Shy
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Luke A Gilbert
- UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, USA
- Arc Institute, Palo Alto, CA, USA
| | - Justin Eyquem
- 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
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Jonathan K Pritchard
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Stacie E Dodgson
- Gladstone-UCSF Institute of Genomic Immunology, 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.
- Institute for Human Genetics (IHG), University of California, San Francisco, San Francisco, CA, USA.
- Parker Institute for Cancer Immunotherapy, 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.
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27
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Jackson-Jones KA, McKnight Á, Sloan RD. The innate immune factor RPRD2/REAF and its role in the Lv2 restriction of HIV. mBio 2023; 14:e0257221. [PMID: 37882563 PMCID: PMC10746242 DOI: 10.1128/mbio.02572-21] [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: 10/27/2023] Open
Abstract
Intracellular innate immunity involves co-evolved antiviral restriction factors that specifically inhibit infecting viruses. Studying these restrictions has increased our understanding of viral replication, host-pathogen interactions, and pathogenesis, and represent potential targets for novel antiviral therapies. Lentiviral restriction 2 (Lv2) was identified as an unmapped early-phase restriction of HIV-2 and later shown to also restrict HIV-1 and simian immunodeficiency virus. The viral determinants of Lv2 susceptibility have been mapped to the envelope and capsid proteins in both HIV-1 and HIV-2, and also viral protein R (Vpr) in HIV-1, and appears dependent on cellular entry mechanism. A genome-wide screen identified several likely contributing host factors including members of the polymerase-associated factor 1 (PAF1) and human silencing hub (HUSH) complexes, and the newly characterized regulation of nuclear pre-mRNA domain containing 2 (RPRD2). Subsequently, RPRD2 (or RNA-associated early-stage antiviral factor) has been shown to be upregulated upon T cell activation, is highly expressed in myeloid cells, binds viral reverse transcripts, and potently restricts HIV-1 infection. RPRD2 is also bound by HIV-1 Vpr and targeted for degradation by the proteasome upon reverse transcription, suggesting RPRD2 impedes reverse transcription and Vpr targeting overcomes this block. RPRD2 is mainly localized to the nucleus and binds RNA, DNA, and DNA:RNA hybrids. More recently, RPRD2 has been shown to negatively regulate genome-wide transcription and interact with the HUSH and PAF1 complexes which repress HIV transcription and are implicated in maintenance of HIV latency. In this review, we examine Lv2 restriction and the antiviral role of RPRD2 and consider potential mechanism(s) of action.
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Affiliation(s)
- Kathryn A. Jackson-Jones
- Centre for Inflammation Research, Institute of Regeneration and Repair, The University of Edinburgh, Edinburgh, United Kingdom
- Division of Infectious Diseases & Department of Microbiology-Immunology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Áine McKnight
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Richard D. Sloan
- Centre for Inflammation Research, Institute of Regeneration and Repair, The University of Edinburgh, Edinburgh, United Kingdom
- ZJU-UoE Institute, Zhejiang University, Haining, China
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28
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Schlabach MR, Lin S, Collester ZR, Wrocklage C, Shenker S, Calnan C, Xu T, Gannon HS, Williams LJ, Thompson F, Dunbar PR, LaMothe RA, Garrett TE, Colletti N, Hohmann AF, Tubo NJ, Bullock CP, Le Mercier I, Sofjan K, Merkin JJ, Keegan S, Kryukov GV, Dugopolski C, Stegmeier F, Wong K, Sharp FA, Cadzow L, Benson MJ. Rational design of a SOCS1-edited tumor-infiltrating lymphocyte therapy using CRISPR/Cas9 screens. J Clin Invest 2023; 133:e163096. [PMID: 38099496 PMCID: PMC10721144 DOI: 10.1172/jci163096] [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: 06/29/2022] [Accepted: 10/10/2023] [Indexed: 12/18/2023] Open
Abstract
Cell therapies such as tumor-infiltrating lymphocyte (TIL) therapy have shown promise in the treatment of patients with refractory solid tumors, with improvement in response rates and durability of responses nevertheless sought. To identify targets capable of enhancing the antitumor activity of T cell therapies, large-scale in vitro and in vivo clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9 screens were performed, with the SOCS1 gene identified as a top T cell-enhancing target. In murine CD8+ T cell-therapy models, SOCS1 served as a critical checkpoint in restraining the accumulation of central memory T cells in lymphoid organs as well as intermediate (Texint) and effector (Texeff) exhausted T cell subsets derived from progenitor exhausted T cells (Texprog) in tumors. A comprehensive CRISPR tiling screen of the SOCS1-coding region identified sgRNAs targeting the SH2 domain of SOCS1 as the most potent, with an sgRNA with minimal off-target cut sites used to manufacture KSQ-001, an engineered TIL therapy with SOCS1 inactivated by CRISPR/Cas9. KSQ-001 possessed increased responsiveness to cytokine signals and enhanced in vivo antitumor function in mouse models. These data demonstrate the use of CRISPR/Cas9 screens in the rational design of T cell therapies.
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29
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Zhou L, Yang L, Feng Y, Chen S. Pooled screening with next-generation gene editing tools. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2023; 28:100479. [PMID: 38222973 PMCID: PMC10786633 DOI: 10.1016/j.cobme.2023.100479] [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] [Indexed: 01/16/2024]
Abstract
Pooled screening creates a pool of cells with genetic variants, allowing for the simultaneous examination for changes in behavior or function. By selectively inducing mutations or perturbing expression, it enables scientists to systematically investigate the function of genes or genetic elements. Emerging gene editing tools, such as CRISPR, coupled with advances in sequencing and computational capabilities, provide growing opportunities to understand biological processes in humans, animals, and plants as well as to identify potential targets for therapeutic interventions and agricultural research. In this review, we highlight the recent advances of pooled screens using next-generation gene editing tools along with relevant challenges and describe potential future directions of this technology.
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Affiliation(s)
- Liqun Zhou
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- System Biology Institute, Yale University, West Haven, CT, USA
- Center for Cancer Systems Biology, Yale University, West Haven, CT, USA
- Immunobiology Program, Yale University, New Haven, CT, USA
| | - Luojia Yang
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- System Biology Institute, Yale University, West Haven, CT, USA
- Center for Cancer Systems Biology, Yale University, West Haven, CT, USA
- Molecular Cell Biology, Genetics, and Development Program, Yale University, New Haven, CT, USA
| | - Yanzhi Feng
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- System Biology Institute, Yale University, West Haven, CT, USA
- Center for Cancer Systems Biology, Yale University, West Haven, CT, USA
- Immunobiology Program, Yale University, New Haven, CT, USA
| | - Sidi Chen
- Department of Genetics, Yale University School of Medicine, New Haven, CT, USA
- System Biology Institute, Yale University, West Haven, CT, USA
- Center for Cancer Systems Biology, Yale University, West Haven, CT, USA
- Immunobiology Program, Yale University, New Haven, CT, USA
- Molecular Cell Biology, Genetics, and Development Program, Yale University, New Haven, CT, USA
- Comprehensive Cancer Center, Yale University School of Medicine, New Haven, CT, USA
- Stem Cell Center, Yale University School of Medicine, New Haven, CT, USA
- Center for Biomedical Data Science, Yale University School of Medicine, New Haven, CT, USA
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30
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Kennedy PH, Deh Sheikh AA, Balakar M, Jones AC, Olive ME, Hegde M, Matias MI, Pirete N, Burt R, Levy J, Little T, Hogan PG, Liu DR, Doench JG, Newton AC, Gottschalk RA, de Boer C, Alarcón S, Newby G, Myers SA. Proteome-wide base editor screens to assess phosphorylation site functionality in high-throughput. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.11.566649. [PMID: 38014346 PMCID: PMC10680671 DOI: 10.1101/2023.11.11.566649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Signaling pathways that drive gene expression are typically depicted as having a dozen or so landmark phosphorylation and transcriptional events. In reality, thousands of dynamic post-translational modifications (PTMs) orchestrate nearly every cellular function, and we lack technologies to find causal links between these vast biochemical pathways and genetic circuits at scale. Here, we describe "signaling-to-transcription network" mapping through the development of PTM-centric base editing coupled to phenotypic screens, directed by temporally-resolved phosphoproteomics. Using T cell activation as a model, we observe hundreds of unstudied phosphorylation sites that modulate NFAT transcriptional activity. We identify the phosphorylation-mediated nuclear localization of the phosphatase PHLPP1 which promotes NFAT but inhibits NFκB activity. We also find that specific phosphosite mutants can alter gene expression in subtle yet distinct patterns, demonstrating the potential for fine-tuning transcriptional responses. Overall, base editor screening of PTM sites provides a powerful platform to dissect PTM function within signaling pathways.
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31
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Li C, Fu J, Shao S, Luo ZQ. Legionella pneumophila exploits the endo-lysosomal network for phagosome biogenesis by co-opting SUMOylated Rab7. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.31.564884. [PMID: 37961430 PMCID: PMC10634985 DOI: 10.1101/2023.10.31.564884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
L. pneumophila strains harboring wild-type rpsL such as Lp02rpsLWT cannot replicate in mouse bone marrow-derived macrophages (BMDMs) due to induction of extensive lysosome damage and apoptosis. The mechanism of this unique infection-induced cell death remains unknown. Using a genome-wide CRISPR/Cas9 screening, we identified Hmg20a and Nol9 as host factors important for restricting strain Lp02rpsLWT in BMDMs. Depletion of Hmg20a protects macrophages from infection-induced lysosomal damage and apoptosis, allowing productive bacterial replication. The restriction imposed by Hmg20a was mediated by repressing the expression of several endo-lysosomal proteins, including the small GTPase Rab7. We found that SUMOylated Rab7 is recruited to the bacterial phagosome via SulF, a Dot/Icm effector that harbors a SUMO-interacting motif (SIM). Moreover, overexpression of Rab7 rescues intracellular growth of strain Lp02rpsLWT in BMDMs. Our results establish that L. pneumophila exploits the lysosomal network for the biogenesis of its phagosome in BMDMs.
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Affiliation(s)
- Chuang Li
- Purdue Institute of Inflammation, Immunology and Infectious Disease, Department of Biological Sciences, Purdue University, West Lafayette, IN 47906, USA
| | - Jiaqi Fu
- Purdue Institute of Inflammation, Immunology and Infectious Disease, Department of Biological Sciences, Purdue University, West Lafayette, IN 47906, USA
| | - Shuai Shao
- College of Pharmacy, The Ohio State University, Columbus, OH 43210, USA
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH 43210, USA
| | - Zhao-Qing Luo
- Purdue Institute of Inflammation, Immunology and Infectious Disease, Department of Biological Sciences, Purdue University, West Lafayette, IN 47906, USA
- Lead Contact
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32
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Xia L, Komissarova A, Jacover A, Shovman Y, Arcila-Barrera S, Tornovsky-Babeay S, Jaya Prakashan MM, Nasereddin A, Plaschkes I, Nevo Y, Shiff I, Yosefov-Levi O, Izhiman T, Medvedev E, Eilon E, Wilensky A, Yona S, Parnas O. Systematic identification of gene combinations to target in innate immune cells to enhance T cell activation. Nat Commun 2023; 14:6295. [PMID: 37813864 PMCID: PMC10562403 DOI: 10.1038/s41467-023-41792-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 09/19/2023] [Indexed: 10/11/2023] Open
Abstract
Genetic engineering of immune cells has opened new avenues for improving their functionality but it remains a challenge to pinpoint which genes or combination of genes are the most beneficial to target. Here, we conduct High Multiplicity of Perturbations and Cellular Indexing of Transcriptomes and Epitopes (HMPCITE-seq) to find combinations of genes whose joint targeting improves antigen-presenting cell activity and enhances their ability to activate T cells. Specifically, we perform two genome-wide CRISPR screens in bone marrow dendritic cells and identify negative regulators of CD86, that participate in the co-stimulation programs, including Chd4, Stat5b, Egr2, Med12, and positive regulators of PD-L1, that participate in the co-inhibitory programs, including Sptlc2, Nckap1l, and Pi4kb. To identify the genetic interactions between top-ranked genes and find superior combinations to target, we perform high-order Perturb-Seq experiments and we show that targeting both Cebpb and Med12 results in a better phenotype compared to the single perturbations or other combinations of perturbations.
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Affiliation(s)
- Lei Xia
- The Lautenberg Center for Immunology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Anastasia Komissarova
- The Lautenberg Center for Immunology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Arielle Jacover
- The Lautenberg Center for Immunology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Yehuda Shovman
- The Lautenberg Center for Immunology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel.
| | - Sebastian Arcila-Barrera
- The Lautenberg Center for Immunology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Sharona Tornovsky-Babeay
- The Lautenberg Center for Immunology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Milsee Mol Jaya Prakashan
- The Lautenberg Center for Immunology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Abdelmajeed Nasereddin
- Core Research Facility, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Inbar Plaschkes
- I-CORE Bioinformatics Unit of the Hebrew University and Hadassah Medical Center, Jerusalem, 91120, Israel
| | - Yuval Nevo
- I-CORE Bioinformatics Unit of the Hebrew University and Hadassah Medical Center, Jerusalem, 91120, Israel
| | - Idit Shiff
- Core Research Facility, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Oshri Yosefov-Levi
- The Lautenberg Center for Immunology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Tamara Izhiman
- The Lautenberg Center for Immunology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Eleonora Medvedev
- Core Research Facility, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Elad Eilon
- The Lautenberg Center for Immunology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Asaf Wilensky
- Department of Periodontology, Hadassah Medical Center, Faculty of Dental Medicine, Hebrew University of Jerusalem, Jerusalem, 91120, Israel
| | - Simon Yona
- The Institute of Biomedical and Oral Research, Hebrew University, Jerusalem, 91120, Israel
| | - Oren Parnas
- The Lautenberg Center for Immunology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, 91120, Israel.
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33
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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. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.29.560128. [PMID: 37808733 PMCID: PMC10557722 DOI: 10.1101/2023.09.29.560128] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
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 JADE3 a protein involved in directing the histone acetyltransferase HBO1 complex to modify chromatin and regulate transcription. JADE3 is both necessary and sufficient to restrict influenza A virus infection. Interestingly, expression of the closely related paralogues JADE1 and JADE2 are unable to restrict influenza A virus infection, suggesting a distinct function of JADE3. We identify both shared and unique transcriptional signatures between uninfected cells expressing JADE3 and JADE2. These data provide a framework for understanding the overlapping and distinct functions of the JADE family of paralogues. Specifically, we find that JADE3 expression activates the NF-kB signaling pathway, consistent with an antiviral function. Therefore, we propose JADE3, but not JADE1 or JADE2, activates an antiviral genetic program involving the NF-kB pathway 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, TX, USA
| | - Aaron Embry
- Departments of Immunology and Microbiology, University of Texas Southwestern Medical Center, Dallas, TX, 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, NC, USA
| | - Craig B. Wilen
- Departments of Laboratory Medicine and Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Robert C. Orchard
- Departments of Immunology and Microbiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
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34
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Lynes MD, Huang Q, Cora C, Su SC, Yi P, Tseng YH. A CRISPR Screen Identifies the E3 Ubiquitin Ligase Rfwd2 as a Negative Regulator of Glucose Uptake in Brown Adipocytes. Genes (Basel) 2023; 14:1865. [PMID: 37895214 PMCID: PMC10606202 DOI: 10.3390/genes14101865] [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: 08/30/2023] [Revised: 09/12/2023] [Accepted: 09/19/2023] [Indexed: 10/29/2023] Open
Abstract
Brown adipose tissue activation increases energy expenditure and has been shown to improve glucose tolerance, making it a promising target for the treatment of obesity and type 2 diabetes. Brown adipocytes differentiate into cells with multilocular lipid droplets, which can efficiently absorb and oxidize glucose; however, the mechanisms regulating these processes are not completely understood. We conducted a genome-wide loss-of-function screen using a CRISPR-based approach to identify genes that promote or inhibit adipogenesis and glucose uptake in brown adipocytes. We validated genes that negatively or positively regulated these pathways and verified that the E3-ubiquitin ligase Rfwd2 suppressed brown adipocyte glucose uptake. Brown adipocytes with CRISPR-targeted Rfwd2 deletion showed an altered proteomic landscape and increased basal, as well as insulin-stimulated, glucose uptake. These data reveal the complexity of genetic regulation of brown adipogenesis and glucose metabolism.
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Affiliation(s)
- Matthew D. Lynes
- Center for Molecular Medicine, Maine Health Institute for Research, Scarborough, ME 04074, USA
- Department of Medicine, Maine Health, Portland, ME 04101, USA
- Graduate School of Biomedical Science and Engineering, University of Maine, Orono, ME 04469, USA
- Roux Institute at Northeastern University, Portland, ME 04101, USA
| | - Qian Huang
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA; (Q.H.); (S.-C.S.)
| | - Carolina Cora
- Center for Molecular Medicine, Maine Health Institute for Research, Scarborough, ME 04074, USA
- Graduate School of Biomedical Science and Engineering, University of Maine, Orono, ME 04469, USA
| | - Sheng-Chiang Su
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA; (Q.H.); (S.-C.S.)
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
| | - Peng Yi
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA; (Q.H.); (S.-C.S.)
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA
| | - Yu-Hua Tseng
- Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA 02215, USA; (Q.H.); (S.-C.S.)
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA 02138, USA
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35
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Roberts MA, Deol KK, Mathiowetz AJ, Lange M, Leto DE, Stevenson J, Hashemi SH, Morgens DW, Easter E, Heydari K, Nalls MA, Bassik MC, Kampmann M, Kopito RR, Faghri F, Olzmann JA. Parallel CRISPR-Cas9 screens identify mechanisms of PLIN2 and lipid droplet regulation. Dev Cell 2023; 58:1782-1800.e10. [PMID: 37494933 PMCID: PMC10530302 DOI: 10.1016/j.devcel.2023.07.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 06/01/2023] [Accepted: 07/03/2023] [Indexed: 07/28/2023]
Abstract
Despite the key roles of perilipin-2 (PLIN2) in governing lipid droplet (LD) metabolism, the mechanisms that regulate PLIN2 levels remain incompletely understood. Here, we leverage a set of genome-edited human PLIN2 reporter cell lines in a series of CRISPR-Cas9 loss-of-function screens, identifying genetic modifiers that influence PLIN2 expression and post-translational stability under different metabolic conditions and in different cell types. These regulators include canonical genes that control lipid metabolism as well as genes involved in ubiquitination, transcription, and mitochondrial function. We further demonstrate a role for the E3 ligase MARCH6 in regulating triacylglycerol biosynthesis, thereby influencing LD abundance and PLIN2 stability. Finally, our CRISPR screens and several published screens provide the foundation for CRISPRlipid (http://crisprlipid.org), an online data commons for lipid-related functional genomics data. Our study identifies mechanisms of PLIN2 and LD regulation and provides an extensive resource for the exploration of LD biology and lipid metabolism.
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Affiliation(s)
- Melissa A Roberts
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Kirandeep K Deol
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Alyssa J Mathiowetz
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Mike Lange
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Dara E Leto
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Julian Stevenson
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Sayed Hadi Hashemi
- Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61820, USA
| | - David W Morgens
- Department of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Emilee Easter
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Kartoosh Heydari
- Cancer Research Laboratory FACS Core Facility, University of California, Berkeley, Berkeley, CA 94720, USA
| | - Mike A Nalls
- Data Tecnica International, LLC, Washington, DC, USA; Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD 20892, USA; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - Michael C Bassik
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Martin Kampmann
- Institute for Neurodegenerative Diseases, Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Ron R Kopito
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Faraz Faghri
- Data Tecnica International, LLC, Washington, DC, USA; Center for Alzheimer's and Related Dementias, National Institutes of Health, Bethesda, MD 20892, USA; Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - James A Olzmann
- Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Nutritional Sciences and Toxicology, University of California, Berkeley, Berkeley, CA 94720, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA.
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Riley-Gillis B, Tsaih SW, King E, Wollenhaupt S, Reeb J, Peck AR, Wackman K, Lemke A, Rui H, Dezso Z, Flister MJ. Machine learning reveals genetic modifiers of the immune microenvironment of cancer. iScience 2023; 26:107576. [PMID: 37664640 PMCID: PMC10470213 DOI: 10.1016/j.isci.2023.107576] [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: 01/06/2023] [Revised: 05/01/2023] [Accepted: 08/04/2023] [Indexed: 09/05/2023] Open
Abstract
Heritability in the immune tumor microenvironment (iTME) has been widely observed yet remains largely uncharacterized. Here, we developed a machine learning approach to map iTME modifiers within loci from genome-wide association studies (GWASs) for breast cancer (BrCa) incidence. A random forest model was trained on a positive set of immune-oncology (I-O) targets, and then used to assign I-O target probability scores to 1,362 candidate genes in linkage disequilibrium with 155 BrCa GWAS loci. Cluster analysis of the most probable candidates revealed two subfamilies of genes related to effector functions and adaptive immune responses, suggesting that iTME modifiers impact multiple aspects of anticancer immunity. Two of the top ranking BrCa candidates, LSP1 and TLR1, were orthogonally validated as iTME modifiers using BrCa patient biopsies and comparative mapping studies, respectively. Collectively, these data demonstrate a robust and flexible framework for functionally fine-mapping GWAS risk loci to identify translatable therapeutic targets.
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Affiliation(s)
- Bridget Riley-Gillis
- Genomics Research Center, AbbVie Inc, 1 North Waukegan Road, North Chicago, IL 60064, USA
| | - Shirng-Wern Tsaih
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Emily King
- Genomics Research Center, AbbVie Inc, 1 North Waukegan Road, North Chicago, IL 60064, USA
| | - Sabrina Wollenhaupt
- Information Research, AbbVie Deutschland GmbH & Co. KG, 67061, Knollstrasse, Ludwigshafen, Germany
| | - Jonas Reeb
- Information Research, AbbVie Deutschland GmbH & Co. KG, 67061, Knollstrasse, Ludwigshafen, Germany
| | - Amy R. Peck
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Kelsey Wackman
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Angela Lemke
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Hallgeir Rui
- Department of Pathology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Zoltan Dezso
- Genomics Research Center, AbbVie Bay Area, 1000 Gateway Boulevard, South San Francisco, CA 94080, USA
| | - Michael J. Flister
- Genomics Research Center, AbbVie Inc, 1 North Waukegan Road, North Chicago, IL 60064, USA
- Genomic Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI, USA
- Department of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
- Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA
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Chowdhary K, Benoist C. A variegated model of transcription factor function in the immune system. Trends Immunol 2023; 44:530-541. [PMID: 37258360 PMCID: PMC10332489 DOI: 10.1016/j.it.2023.05.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/26/2023] [Accepted: 05/01/2023] [Indexed: 06/02/2023]
Abstract
Specific combinations of transcription factors (TFs) control the gene expression programs that underlie specialized immune responses. Previous models of TF function in immunocytes had restricted each TF to a single functional categorization [e.g., lineage-defining (LDTFs) vs. signal-dependent TFs (SDTFs)] within one cell type. Synthesizing recent results, we instead propose a variegated model of immunological TF function, whereby many TFs have flexible and different roles across distinct cell states, contributing to cell phenotypic diversity. We discuss evidence in support of this variegated model, describe contextual inputs that enable TF diversification, and look to the future to imagine warranted experimental and computational tools to build quantitative and predictive models of immunocyte gene regulatory networks.
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38
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Rathore D, Marino MJ, Nita-Lazar A. Omics and systems view of innate immune pathways. Proteomics 2023; 23:e2200407. [PMID: 37269203 DOI: 10.1002/pmic.202200407] [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: 02/14/2023] [Revised: 04/16/2023] [Accepted: 05/23/2023] [Indexed: 06/04/2023]
Abstract
Multiomics approaches to studying systems biology are very powerful techniques that can elucidate changes in the genomic, transcriptomic, proteomic, and metabolomic levels within a cell type in response to an infection. These approaches are valuable for understanding the mechanisms behind disease pathogenesis and how the immune system responds to being challenged. With the emergence of the COVID-19 pandemic, the importance and utility of these tools have become evident in garnering a better understanding of the systems biology within the innate and adaptive immune response and for developing treatments and preventative measures for new and emerging pathogens that pose a threat to human health. In this review, we focus on state-of-the-art omics technologies within the scope of innate immunity.
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Affiliation(s)
- Deepali Rathore
- Functional Cellular Networks Section, Laboratory of Immune Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Matthew J Marino
- Functional Cellular Networks Section, Laboratory of Immune Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Aleksandra Nita-Lazar
- Functional Cellular Networks Section, Laboratory of Immune Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
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39
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Rodríguez-Silvestre P, Laub M, Krawczyk PA, Davies AK, Schessner JP, Parveen R, Tuck BJ, McEwan WA, Borner GH, Kozik P. Perforin-2 is a pore-forming effector of endocytic escape in cross-presenting dendritic cells. Science 2023; 380:1258-1265. [PMID: 37347855 PMCID: PMC7614779 DOI: 10.1126/science.adg8802] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 05/03/2023] [Indexed: 06/24/2023]
Abstract
During initiation of antiviral and antitumor T cell-mediated immune responses, dendritic cells (DCs) cross-present exogenous antigens on major histocompatibility complex (MHC) class I molecules. Cross-presentation relies on the unusual "leakiness" of endocytic compartments in DCs, whereby internalized proteins escape into the cytosol for proteasome-mediated generation of MHC I-binding peptides. Given that type 1 conventional DCs excel at cross-presentation, we searched for cell type-specific effectors of endocytic escape. We devised an assay suitable for genetic screening and identified a pore-forming protein, perforin-2 (Mpeg1), as a dedicated effector exclusive to cross-presenting cells. Perforin-2 was recruited to antigen-containing compartments, where it underwent maturation, releasing its pore-forming domain. Mpeg1-/- mice failed to efficiently prime CD8+ T cells to cell-associated antigens, revealing an important role for perforin-2 in cytosolic entry of antigens during cross-presentation.
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Affiliation(s)
| | - Marco Laub
- MRC Laboratory of Molecular Biology; Cambridge, UK
| | | | - Alexandra K. Davies
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry; Martinsried, Germany
- Current: School of Biological Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Julia P. Schessner
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry; Martinsried, Germany
| | | | - Benjamin J. Tuck
- MRC Laboratory of Molecular Biology; Cambridge, UK
- UK Dementia Research Institute at the University of Cambridge, Department of Clinical Neurosciences; Cambridge, UK
| | - William A. McEwan
- UK Dementia Research Institute at the University of Cambridge, Department of Clinical Neurosciences; Cambridge, UK
| | - Georg H.H. Borner
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry; Martinsried, Germany
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Malireddi RS, Bynigeri RR, Mall R, Nadendla EK, Connelly JP, Pruett-Miller SM, Kanneganti TD. Whole-genome CRISPR screen identifies RAVER1 as a key regulator of RIPK1-mediated inflammatory cell death, PANoptosis. iScience 2023; 26:106938. [PMID: 37324531 PMCID: PMC10265528 DOI: 10.1016/j.isci.2023.106938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 04/24/2023] [Accepted: 05/18/2023] [Indexed: 06/17/2023] Open
Abstract
Transforming growth factor-β-activated kinase 1 (TAK1) is a central regulator of innate immunity, cell death, inflammation, and cellular homeostasis. Therefore, many pathogens carry TAK1 inhibitors (TAK1i). As a host strategy to counteract this, inhibition or deletion of TAK1 induces spontaneous inflammatory cell death, PANoptosis, through the RIPK1-PANoptosome complex, containing the NLRP3 inflammasome and caspase-8/FADD/RIPK3 as integral components; however, PANoptosis also promotes pathological inflammation. Therefore, understanding molecular mechanisms that regulate TAK1i-induced cell death is essential. Here, we report a genome-wide CRISPR screen in macrophages that identified TAK1i-induced cell death regulators, including polypyrimidine tract-binding (PTB) protein 1 (PTBP1), a known regulator of RIPK1, and a previously unknown regulator RAVER1. RAVER1 blocked alternative splicing of Ripk1, and its genetic depletion inhibited TAK1i-induced, RIPK1-mediated inflammasome activation and PANoptosis. Overall, our CRISPR screen identified several positive regulators of PANoptosis. Moreover, our study highlights the utility of genome-wide CRISPR-Cas9 screens in myeloid cells for comprehensive characterization of complex cell death pathways to discover therapeutic targets.
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Affiliation(s)
| | - Ratnakar R. Bynigeri
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Raghvendra Mall
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Eswar Kumar Nadendla
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Jon P. Connelly
- Center for Advanced Genome Engineering (CAGE), St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Shondra M. Pruett-Miller
- Center for Advanced Genome Engineering (CAGE), St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
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Jeong S, Shin W, Park M, Lee JU, Lim Y, Noh K, Lee JH, Jun YW, Kwak M, Cheon J. Hydrogel Magnetomechanical Actuator Nanoparticles for Wireless Remote Control of Mechanosignaling In Vivo. NANO LETTERS 2023; 23:5227-5235. [PMID: 37192537 PMCID: PMC10614426 DOI: 10.1021/acs.nanolett.3c01207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
Abstract
As a new enabling nanotechnology tool for wireless, target-specific, and long-distance stimulation of mechanoreceptors in vivo, here we present a hydrogel magnetomechanical actuator (h-MMA) nanoparticle. To allow both deep-tissue penetration of input signals and efficient force generation, h-MMA integrates a two-step transduction mechanism that converts magnetic anisotropic energy to thermal energy within its magnetic core (i.e., Zn0.4Fe2.6O4 nanoparticle cluster) and then to mechanical energy to induce the surrounding polymer (i.e., pNiPMAm) shell contraction, finally delivering forces to activate targeted mechanoreceptors. We show that h-MMAs enable on-demand modulation of Notch signaling in both fluorescence reporter cell lines and a xenograft mouse model, demonstrating its utility as a powerful in vivo perturbation approach for mechanobiology interrogation in a minimally invasive and untethered manner.
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Affiliation(s)
- Sumin Jeong
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
- Department of Chemistry, Yonsei University, Seoul 03722, Republic of Korea
| | - Wookjin Shin
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
| | - Mansoo Park
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
- Department of Nano Biomedical Engineering (NanoBME), A dvanced Science Institute, Yonsei University, Seoul 03722, Republic of Korea
| | - Jung-uk Lee
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
| | - Yongjun Lim
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
- Department of Chemistry, Yonsei University, Seoul 03722, Republic of Korea
| | - Kunwoo Noh
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
- Department of Nano Biomedical Engineering (NanoBME), A dvanced Science Institute, Yonsei University, Seoul 03722, Republic of Korea
| | - Jae-Hyun Lee
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
- Department of Nano Biomedical Engineering (NanoBME), A dvanced Science Institute, Yonsei University, Seoul 03722, Republic of Korea
| | - Young-wook Jun
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
- Department of Nano Biomedical Engineering (NanoBME), A dvanced Science Institute, Yonsei University, Seoul 03722, Republic of Korea
- Department of Otolaryngology, University of California, San Francisco, CA, USA
- Department of Pharmaceutical Chemistry, University of California, San Francisco, CA, USA
- Helen Diller Family Cancer Comprehensive Center (HDFCCC), University of California, San Francisco, CA, USA
| | - Minsuk Kwak
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
- Department of Nano Biomedical Engineering (NanoBME), A dvanced Science Institute, Yonsei University, Seoul 03722, Republic of Korea
| | - Jinwoo Cheon
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Republic of Korea
- Department of Chemistry, Yonsei University, Seoul 03722, Republic of Korea
- Department of Nano Biomedical Engineering (NanoBME), A dvanced Science Institute, Yonsei University, Seoul 03722, Republic of Korea
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Wolin E, Guo JK, Blanco MR, Perez AA, Goronzy IN, Abdou AA, Gorhe D, Guttman M, Jovanovic M. SPIDR: a highly multiplexed method for mapping RNA-protein interactions uncovers a potential mechanism for selective translational suppression upon cellular stress. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.05.543769. [PMID: 37333139 PMCID: PMC10274648 DOI: 10.1101/2023.06.05.543769] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
RNA binding proteins (RBPs) play crucial roles in regulating every stage of the mRNA life cycle and mediating non-coding RNA functions. Despite their importance, the specific roles of most RBPs remain unexplored because we do not know what specific RNAs most RBPs bind. Current methods, such as crosslinking and immunoprecipitation followed by sequencing (CLIP-seq), have expanded our knowledge of RBP-RNA interactions but are generally limited by their ability to map only one RBP at a time. To address this limitation, we developed SPIDR (Split and Pool Identification of RBP targets), a massively multiplexed method to simultaneously profile global RNA binding sites of dozens to hundreds of RBPs in a single experiment. SPIDR employs split-pool barcoding coupled with antibody-bead barcoding to increase the throughput of current CLIP methods by two orders of magnitude. SPIDR reliably identifies precise, single-nucleotide RNA binding sites for diverse classes of RBPs simultaneously. Using SPIDR, we explored changes in RBP binding upon mTOR inhibition and identified that 4EBP1 acts as a dynamic RBP that selectively binds to 5'-untranslated regions of specific translationally repressed mRNAs only upon mTOR inhibition. This observation provides a potential mechanism to explain the specificity of translational regulation controlled by mTOR signaling. SPIDR has the potential to revolutionize our understanding of RNA biology and both transcriptional and post-transcriptional gene regulation by enabling rapid, de novo discovery of RNA-protein interactions at an unprecedented scale.
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Affiliation(s)
- Erica Wolin
- Department of Biological Sciences, Columbia University, New York City, New York 10027, USA
| | - Jimmy K. Guo
- Division of Biology and Bioengineering, California Institute of Technology, Pasadena CA 91125, USA
- Keck School of Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Mario R. Blanco
- Division of Biology and Bioengineering, California Institute of Technology, Pasadena CA 91125, USA
| | - Andrew A. Perez
- Division of Biology and Bioengineering, California Institute of Technology, Pasadena CA 91125, USA
| | - Isabel N. Goronzy
- Division of Biology and Bioengineering, California Institute of Technology, Pasadena CA 91125, USA
| | - Ahmed A. Abdou
- Department of Biological Sciences, Columbia University, New York City, New York 10027, USA
| | - Darvesh Gorhe
- Department of Biological Sciences, Columbia University, New York City, New York 10027, USA
| | - Mitchell Guttman
- Division of Biology and Bioengineering, California Institute of Technology, Pasadena CA 91125, USA
| | - Marko Jovanovic
- Department of Biological Sciences, Columbia University, New York City, New York 10027, USA
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43
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Kenaston MW, Shah PS. The Archer and the Prey: The Duality of PAF1C in Antiviral Immunity. Viruses 2023; 15:v15051032. [PMID: 37243120 DOI: 10.3390/v15051032] [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: 03/29/2023] [Revised: 04/18/2023] [Accepted: 04/21/2023] [Indexed: 05/28/2023] Open
Abstract
In the ongoing arms race between virus and host, fine-tuned gene expression plays a critical role in antiviral signaling. However, viruses have evolved to disrupt this process and promote their own replication by targeting host restriction factors. Polymerase-associated factor 1 complex (PAF1C) is a key player in this relationship, recruiting other host factors to regulate transcription and modulate innate immune gene expression. Consequently, PAF1C is consistently targeted by a diverse range of viruses, either to suppress its antiviral functions or co-opt them for their own benefit. In this review, we delve into the current mechanisms through which PAF1C restricts viruses by activating interferon and inflammatory responses at the transcriptional level. We also highlight how the ubiquity of these mechanisms makes PAF1C especially vulnerable to viral hijacking and antagonism. Indeed, as often as PAF1C is revealed to be a restriction factor, viruses are found to have targeted the complex in reply.
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Affiliation(s)
- Matthew W Kenaston
- Department of Microbiology and Molecular Genetics, University of California, Davis, CA 95616, USA
| | - Priya S Shah
- Department of Microbiology and Molecular Genetics, University of California, Davis, CA 95616, USA
- Department of Chemical Engineering, University of California, Davis, CA 95616, USA
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44
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Otto JE, Ursu O, Wu AP, Winter EB, Cuoco MS, Ma S, Qian K, Michel BC, Buenrostro JD, Berger B, Regev A, Kadoch C. Structural and functional properties of mSWI/SNF chromatin remodeling complexes revealed through single-cell perturbation screens. Mol Cell 2023; 83:1350-1367.e7. [PMID: 37028419 DOI: 10.1016/j.molcel.2023.03.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 02/07/2023] [Accepted: 03/10/2023] [Indexed: 04/09/2023]
Abstract
The mammalian SWI/SNF (mSWI/SNF or BAF) family of chromatin remodeling complexes play critical roles in regulating DNA accessibility and gene expression. The three final-form subcomplexes-cBAF, PBAF, and ncBAF-are distinct in biochemical componentry, chromatin targeting, and roles in disease; however, the contributions of their constituent subunits to gene expression remain incompletely defined. Here, we performed Perturb-seq-based CRISPR-Cas9 knockout screens targeting mSWI/SNF subunits individually and in select combinations, followed by single-cell RNA-seq and SHARE-seq. We uncovered complex-, module-, and subunit-specific contributions to distinct regulatory networks and defined paralog subunit relationships and shifted subcomplex functions upon perturbations. Synergistic, intra-complex genetic interactions between subunits reveal functional redundancy and modularity. Importantly, single-cell subunit perturbation signatures mapped across bulk primary human tumor expression profiles both mirror and predict cBAF loss-of-function status in cancer. Our findings highlight the utility of Perturb-seq to dissect disease-relevant gene regulatory impacts of heterogeneous, multi-component master regulatory complexes.
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Affiliation(s)
- Jordan E Otto
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Chemical Biology Program, Harvard University, Cambridge, MA, USA
| | - Oana Ursu
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alexander P Wu
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Evan B Winter
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Sai Ma
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Kristin Qian
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Biological and Biomedical Sciences Program, Harvard Medical School, Boston, MA, USA
| | - Brittany C Michel
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Biological and Biomedical Sciences Program, Harvard Medical School, Boston, MA, USA
| | - Jason D Buenrostro
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Bonnie Berger
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Aviv Regev
- Broad Institute of MIT and Harvard, Cambridge, MA, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, UA.
| | - Cigall Kadoch
- Department of Pediatric Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Chemical Biology Program, Harvard University, Cambridge, MA, USA; Howard Hughes Medical Institute, Chevy Chase, MD, UA.
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45
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Huang S, Baskin JM. Adding a Chemical Biology Twist to CRISPR Screening. Isr J Chem 2023; 63:e202200056. [PMID: 37588264 PMCID: PMC10427134 DOI: 10.1002/ijch.202200056] [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: 08/21/2022] [Indexed: 11/09/2022]
Abstract
In less than a decade, CRISPR screening has revolutionized forward genetics and cell and molecular biology. Advances in screening technologies, including sgRNA libraries, Cas9-expressing cell lines, and streamlined sequencing pipelines, have democratized pooled CRISPR screens at genome-wide scale. Initially, many such screens were survival-based, identifying essential genes in physiological or perturbed processes. With the application of new chemical biology tools to CRISPR screening, the phenotypic space is no longer limited to live/dead selection or screening for levels of conventional fluorescent protein reporters. Further, the resolution has been increased from cell populations to single cells or even the subcellular level. We highlight advances in pooled CRISPR screening, powered by chemical biology, that have expanded phenotypic space, resolution, scope, and scalability as well as strengthened the CRISPR/Cas enzyme toolkit to enable biological hypothesis generation and discovery.
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Affiliation(s)
- Shiying Huang
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853 USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853 USA
| | - Jeremy M Baskin
- Department of Chemistry and Chemical Biology, Cornell University, Ithaca, NY 14853 USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853 USA
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46
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Cheng J, Lin G, Wang T, Wang Y, Guo W, Liao J, Yang P, Chen J, Shao X, Lu X, Zhu L, Wang Y, Fan X. Massively Parallel CRISPR-Based Genetic Perturbation Screening at Single-Cell Resolution. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2204484. [PMID: 36504444 PMCID: PMC9896079 DOI: 10.1002/advs.202204484] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 11/09/2022] [Indexed: 06/17/2023]
Abstract
The clustered regularly interspaced short palindromic repeats (CRISPR)-based genetic screening has been demonstrated as a powerful approach for unbiased functional genomics research. Single-cell CRISPR screening (scCRISPR) techniques, which result from the combination of single-cell toolkits and CRISPR screening, allow dissecting regulatory networks in complex biological systems at unprecedented resolution. These methods allow cells to be perturbed en masse using a pooled CRISPR library, followed by high-content phenotyping. This is technically accomplished by annotating cells with sgRNA-specific barcodes or directly detectable sgRNAs. According to the integration of distinct single-cell technologies, these methods principally fall into four categories: scCRISPR with RNA-seq, scCRISPR with ATAC-seq, scCRISPR with proteome probing, and imaging-based scCRISPR. scCRISPR has deciphered genotype-phenotype relationships, genetic regulations, tumor biological issues, and neuropathological mechanisms. This review provides insight into the technical breakthrough of scCRISPR by systematically summarizing the advancements of various scCRISPR methodologies and analyzing their merits and limitations. In addition, an application-oriented approach guide is offered to meet researchers' individualized demands.
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Affiliation(s)
- Junyun Cheng
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Gaole Lin
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Tianhao Wang
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Yunzhu Wang
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Wenbo Guo
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Jie Liao
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Penghui Yang
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Jie Chen
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Xin Shao
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
| | - Xiaoyan Lu
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
- State Key Laboratory of Component‐Based Chinese MedicineInnovation Center in Zhejiang UniversityHangzhou310058China
- Jinhua Institute of Zhejiang UniversityJinhua321016China
| | - Ling Zhu
- The Save Sight InstituteFaculty of Medicine and Healththe University of SydneySydneyNSW2000Australia
| | - Yi Wang
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
- State Key Laboratory of Component‐Based Chinese MedicineInnovation Center in Zhejiang UniversityHangzhou310058China
- Future Health LaboratoryInnovation Center of Yangtze River DeltaZhejiang UniversityJiaxing314100China
| | - Xiaohui Fan
- Pharmaceutical Informatics InstituteCollege of Pharmaceutical SciencesZhejiang UniversityHangzhouZhejiang310058China
- State Key Laboratory of Component‐Based Chinese MedicineInnovation Center in Zhejiang UniversityHangzhou310058China
- Jinhua Institute of Zhejiang UniversityJinhua321016China
- The Save Sight InstituteFaculty of Medicine and Healththe University of SydneySydneyNSW2000Australia
- Future Health LaboratoryInnovation Center of Yangtze River DeltaZhejiang UniversityJiaxing314100China
- Westlake Laboratory of Life Sciences and BiomedicineHangzhou310024China
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Geiger-Schuller K, Eraslan B, Kuksenko O, Dey KK, Jagadeesh KA, Thakore PI, Karayel O, Yung AR, Rajagopalan A, Meireles AM, Yang KD, Amir-Zilberstein L, Delorey T, Phillips D, Raychowdhury R, Moussion C, Price AL, Hacohen N, Doench JG, Uhler C, Rozenblatt-Rosen O, Regev A. Systematically characterizing the roles of E3-ligase family members in inflammatory responses with massively parallel Perturb-seq. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.23.525198. [PMID: 36747789 PMCID: PMC9900845 DOI: 10.1101/2023.01.23.525198] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
E3 ligases regulate key processes, but many of their roles remain unknown. Using Perturb-seq, we interrogated the function of 1,130 E3 ligases, partners and substrates in the inflammatory response in primary dendritic cells (DCs). Dozens impacted the balance of DC1, DC2, migratory DC and macrophage states and a gradient of DC maturation. Family members grouped into co-functional modules that were enriched for physical interactions and impacted specific programs through substrate transcription factors. E3s and their adaptors co-regulated the same processes, but partnered with different substrate recognition adaptors to impact distinct aspects of the DC life cycle. Genetic interactions were more prevalent within than between modules, and a deep learning model, comβVAE, predicts the outcome of new combinations by leveraging modularity. The E3 regulatory network was associated with heritable variation and aberrant gene expression in immune cells in human inflammatory diseases. Our study provides a general approach to dissect gene function.
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48
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Yao D, Binan L, Bezney J, Simonton B, Freedman J, Frangieh CJ, Dey K, Geiger-Schuller K, Eraslan B, Gusev A, Regev A, Cleary B. Compressed Perturb-seq: highly efficient screens for regulatory circuits using random composite perturbations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.23.525200. [PMID: 36747806 PMCID: PMC9900787 DOI: 10.1101/2023.01.23.525200] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Pooled CRISPR screens with single-cell RNA-seq readout (Perturb-seq) have emerged as a key technique in functional genomics, but are limited in scale by cost and combinatorial complexity. Here, we reimagine Perturb-seq's design through the lens of algorithms applied to random, low-dimensional observations. We present compressed Perturb-seq, which measures multiple random perturbations per cell or multiple cells per droplet and computationally decompresses these measurements by leveraging the sparse structure of regulatory circuits. Applied to 598 genes in the immune response to bacterial lipopolysaccharide, compressed Perturb-seq achieves the same accuracy as conventional Perturb-seq at 4 to 20-fold reduced cost, with greater power to learn genetic interactions. We identify known and novel regulators of immune responses and uncover evolutionarily constrained genes with downstream targets enriched for immune disease heritability, including many missed by existing GWAS or trans-eQTL studies. Our framework enables new scales of interrogation for a foundational method in functional genomics.
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Affiliation(s)
- Douglas Yao
- Program in Systems, Synthetic, and Quantitative Biology, Harvard University, Cambridge, MA
| | - Loic Binan
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Jon Bezney
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA
- Current address: Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Brooke Simonton
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Jahanara Freedman
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Chris J Frangieh
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA
| | - Kushal Dey
- Harvard T.H. Chan School of Public Health, Boston, MA
| | | | | | - Alexander Gusev
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Division of Genetics, Brigham and Women's Hospital, Boston, MA
- These authors jointly supervised this work
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of Harvard and MIT, Cambridge, MA
- Current address: Genentech, South San Francisco, CA
- These authors jointly supervised this work
| | - Brian Cleary
- Faculty of Computing and Data Sciences, Boston University, Boston, MA
- Department of Biology, Boston University, Boston, MA
- Department of Biomedical Engineering, Boston University, Boston, MA
- Program in Bioinformatics, Boston University, Boston, MA
- Biological Design Center, Boston University, Boston, MA
- These authors jointly supervised this work
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49
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Krishnamoorthy V, Daly J, Wisnovsky S. Identifying Genetic Regulators of Protein-Glycan Interactions with Genome-Wide CRISPR Screening. Curr Protoc 2023; 3:e646. [PMID: 36695498 DOI: 10.1002/cpz1.646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Glycans are carbohydrate molecules appended to proteins and lipids on the surface of all living cells. Glycans play key roles in a wide array of biological processes, and structural changes in cell-surface glycosylation patterns have been connected to pathogenesis of several diseases. In particular, cancer cells frequently upregulate expression of glycans that bind to inhibitory receptors (lectins) on immune cells. These glycosylated antigens systematically inhibit immune activity and protect cancer cells from immune surveillance. Understanding how cancer cells generate these glycan ligands can thus lead to identification of novel druggable targets for therapeutic intervention. However, glycan ligand biosynthesis is subject to extremely complex genetic regulation, making it difficult to identify the key genes involved in production of immune-regulatory glycan antigens. In a recent publication, we described a CRISPR/Cas9 screening approach to identify genes that drive synthesis of ligands for glycan-binding immune receptors. Here, we outline a detailed, step-by-step protocol for completing this type of genome-wide screen. Our protocol produces a genome-wide atlas of all genes whose expression is required for cell-surface binding of a recombinant immune lectin. This dataset can be used both to identify novel ligands for immune lectins and annotate regulatory genes that drive changes in cancer-associated glycosylation. Our protocol serves as a general resource for researchers interested in the detailed study of cancer glyco-immunology. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Generation of a genome-wide CRISPR library using lentiviral transduction Support Protocol: Generation of dCas9KRAB-expressing K-562 cells Basic Protocol 2: Staining of genome-wide CRISPR libraries with Siglec-Fc reagents and fluorescence-activated cell sorting Basic Protocol 3: Library amplification and sequencing Basic Protocol 4: Data analysis and hit identification.
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Affiliation(s)
| | - John Daly
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada
| | - Simon Wisnovsky
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada
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50
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Szeto ACH, Ferreira ACF, Mannion J, Clark PA, Sivasubramaniam M, Heycock MWD, Crisp A, Jolin HE, Kozik P, Knolle MD, McKenzie ANJ. An αvβ3 integrin checkpoint is critical for efficient T H2 cell cytokine polarization and potentiation of antigen-specific immunity. Nat Immunol 2023; 24:123-135. [PMID: 36550322 DOI: 10.1038/s41590-022-01378-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 11/03/2022] [Indexed: 12/24/2022]
Abstract
Naive CD4+ T lymphocytes initially undergo antigen-specific activation to promote a broad-spectrum response before adopting bespoke cytokine expression profiles shaped by intercellular microenvironmental cues, resulting in pathogen-focused modular cytokine responses. Interleukin (IL)-4-induced Gata3 upregulation is important for the helper type 2 T cell (TH2 cell) polarization associated with anti-helminth immunity and misdirected allergic inflammation. Whether additional microenvironmental factors participate is unclear. Using whole mouse-genome CRISPR-Cas9 screens, we discovered a previously unappreciated role for αvβ3 integrin in TH2 cell differentiation. Low-level αvβ3 expression by naive CD4+ T cells contributed to pan-T cell activation by promoting T-T cell clustering and IL-2/CD25/STAT5 signaling. Subsequently, IL-4/Gata3-induced selective upregulation of αvβ3 licensed intercellular αvβ3-Thy1 interactions among TH2 cells, enhanced mammalian target of rapamycin (mTOR) signaling, supported differentiation and promoted IL-5/IL-13 production. In mice, αvβ3 was required for efficient, allergen-driven, antigen-specific lung TH2 cell responses. Thus, αvβ3-expressing TH2 cells form multicellular factories to propagate and amplify TH2 cell responses.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Martin D Knolle
- MRC Laboratory of Molecular Biology, Cambridge, UK
- Cambridge University Hospitals, Cambridge, UK
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