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Weng C, Yu F, Yang D, Poeschla M, Liggett LA, Jones MG, Qiu X, Wahlster L, Caulier A, Hussmann JA, Schnell A, Yost KE, Koblan LW, Martin-Rufino JD, Min J, Hammond A, Ssozi D, Bueno R, Mallidi H, Kreso A, Escabi J, Rideout WM, Jacks T, Hormoz S, van Galen P, Weissman JS, Sankaran VG. Deciphering cell states and genealogies of human haematopoiesis. Nature 2024; 627:389-398. [PMID: 38253266 PMCID: PMC10937407 DOI: 10.1038/s41586-024-07066-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 01/12/2024] [Indexed: 01/24/2024]
Abstract
The human blood system is maintained through the differentiation and massive amplification of a limited number of long-lived haematopoietic stem cells (HSCs)1. Perturbations to this process underlie diverse diseases, but the clonal contributions to human haematopoiesis and how this changes with age remain incompletely understood. Although recent insights have emerged from barcoding studies in model systems2-5, simultaneous detection of cell states and phylogenies from natural barcodes in humans remains challenging. Here we introduce an improved, single-cell lineage-tracing system based on deep detection of naturally occurring mitochondrial DNA mutations with simultaneous readout of transcriptional states and chromatin accessibility. We use this system to define the clonal architecture of HSCs and map the physiological state and output of clones. We uncover functional heterogeneity in HSC clones, which is stable over months and manifests as both differences in total HSC output and biases towards the production of different mature cell types. We also find that the diversity of HSC clones decreases markedly with age, leading to an oligoclonal structure with multiple distinct clonal expansions. Our study thus provides a clonally resolved and cell-state-aware atlas of human haematopoiesis at single-cell resolution, showing an unappreciated functional diversity of human HSC clones and, more broadly, paving the way for refined studies of clonal dynamics across a range of tissues in human health and disease.
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Affiliation(s)
- Chen Weng
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Fulong Yu
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, P.R. China
| | - Dian Yang
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Molecular Pharmacology and Therapeutics, Department of Systems Biology, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, USA
| | - Michael Poeschla
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - L Alexander Liggett
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Matthew G Jones
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Dermatology, Stanford University, Stanford, CA, USA
- Center for Personal Dynamic Regulomes, Stanford University, Stanford, CA, USA
| | - Xiaojie Qiu
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
- Department of Genetics and Computer Science, BASE Research Initiative, Betty Irene Moore Children's Heart Center, Stanford University, Stanford, CA, USA
| | - Lara Wahlster
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Alexis Caulier
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jeffrey A Hussmann
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alexandra Schnell
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Kathryn E Yost
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Luke W Koblan
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jorge D Martin-Rufino
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Joseph Min
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Alessandro Hammond
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Daniel Ssozi
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Hematology, Brigham and Women's Hospital, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Raphael Bueno
- Division of Thoracic and Cardiac Surgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Hari Mallidi
- Division of Thoracic and Cardiac Surgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Antonia Kreso
- Division of Cardiac Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Javier Escabi
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - William M Rideout
- Koch Institute For Integrative Cancer Research at MIT, MIT, Cambridge, MA, USA
| | - Tyler Jacks
- Koch Institute For Integrative Cancer Research at MIT, MIT, Cambridge, MA, USA
| | - Sahand Hormoz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Systems Biology, Harvard Medical School, Boston, MA, USA
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Peter van Galen
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Hematology, Brigham and Women's Hospital, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA
| | - Jonathan S Weissman
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA.
- Department of Biology and Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Koch Institute For Integrative Cancer Research at MIT, MIT, Cambridge, MA, USA.
| | - Vijay G Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Stem Cell Institute, Cambridge, MA, USA.
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2
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Koblan LW, Arbab M, Shen MW, Hussmann JA, Anzalone AV, Doman JL, Newby GA, Yang D, Mok B, Replogle JM, Xu A, Sisley TA, Weissman JS, Adamson B, Liu DR. Author Correction: Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learning. Nat Biotechnol 2023; 41:1655. [PMID: 37853259 DOI: 10.1038/s41587-023-02028-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
Affiliation(s)
- Luke W Koblan
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Mandana Arbab
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Max W Shen
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
- Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jeffrey A Hussmann
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Andrew V Anzalone
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Jordan L Doman
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Gregory A Newby
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Dian Yang
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Beverly Mok
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Joseph M Replogle
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA, USA
- Tetrad Graduate Program, University of California, San Francisco, San Francisco, CA, USA
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Albert Xu
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- 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
| | - Tyler A Sisley
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
- Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA, USA.
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA.
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Britt Adamson
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA.
| | - David R Liu
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA.
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Koblan LW, Arbab M, Shen MW, Hussmann JA, Anzalone AV, Doman JL, Newby GA, Yang D, Mok B, Replogle JM, Xu A, Sisley TA, Weissman JS, Adamson B, Liu DR. Efficient C•G-to-G•C base editors developed using CRISPRi screens, target-library analysis, and machine learning. Nat Biotechnol 2021; 39:1414-1425. [PMID: 34183861 PMCID: PMC8985520 DOI: 10.1038/s41587-021-00938-z] [Citation(s) in RCA: 98] [Impact Index Per Article: 32.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 04/30/2021] [Indexed: 12/22/2022]
Abstract
Programmable C•G-to-G•C base editors (CGBEs) have broad scientific and therapeutic potential, but their editing outcomes have proved difficult to predict and their editing efficiency and product purity are often low. We describe a suite of engineered CGBEs paired with machine learning models to enable efficient, high-purity C•G-to-G•C base editing. We performed a CRISPR interference (CRISPRi) screen targeting DNA repair genes to identify factors that affect C•G-to-G•C editing outcomes and used these insights to develop CGBEs with diverse editing profiles. We characterized ten promising CGBEs on a library of 10,638 genomically integrated target sites in mammalian cells and trained machine learning models that accurately predict the purity and yield of editing outcomes (R = 0.90) using these data. These CGBEs enable correction to the wild-type coding sequence of 546 disease-related transversion single-nucleotide variants (SNVs) with >90% precision (mean 96%) and up to 70% efficiency (mean 14%). Computational prediction of optimal CGBE-single-guide RNA pairs enables high-purity transversion base editing at over fourfold more target sites than achieved using any single CGBE variant.
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Affiliation(s)
- Luke W Koblan
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Mandana Arbab
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Max W Shen
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
- Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Jeffrey A Hussmann
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Andrew V Anzalone
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Jordan L Doman
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Gregory A Newby
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Dian Yang
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Beverly Mok
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Joseph M Replogle
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA, USA
- Tetrad Graduate Program, University of California, San Francisco, San Francisco, CA, USA
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Albert Xu
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- 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
| | - Tyler A Sisley
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
- Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA, USA.
- Whitehead Institute for Biomedical Research, Cambridge, MA, USA.
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Britt Adamson
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA.
| | - David R Liu
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA.
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Hussmann JA, Ling J, Ravisankar P, Yan J, Cirincione A, Xu A, Simpson D, Yang D, Bothmer A, Cotta-Ramusino C, Weissman JS, Adamson B. Mapping the genetic landscape of DNA double-strand break repair. Cell 2021; 184:5653-5669.e25. [PMID: 34672952 PMCID: PMC9074467 DOI: 10.1016/j.cell.2021.10.002] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 08/31/2021] [Accepted: 09/29/2021] [Indexed: 12/20/2022]
Abstract
Cells repair DNA double-strand breaks (DSBs) through a complex set of pathways critical for maintaining genomic integrity. To systematically map these pathways, we developed a high-throughput screening approach called Repair-seq that measures the effects of thousands of genetic perturbations on mutations introduced at targeted DNA lesions. Using Repair-seq, we profiled DSB repair products induced by two programmable nucleases (Cas9 and Cas12a) in the presence or absence of oligonucleotides for homology-directed repair (HDR) after knockdown of 476 genes involved in DSB repair or associated processes. The resulting data enabled principled, data-driven inference of DSB end joining and HDR pathways. Systematic interrogation of this data uncovered unexpected relationships among DSB repair genes and demonstrated that repair outcomes with superficially similar sequence architectures can have markedly different genetic dependencies. This work provides a foundation for mapping DNA repair pathways and for optimizing genome editing across diverse modalities.
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Affiliation(s)
- Jeffrey A Hussmann
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Jia Ling
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Purnima Ravisankar
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Jun Yan
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
| | - Ann Cirincione
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Albert Xu
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Danny Simpson
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Dian Yang
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | | | | | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
| | - Britt Adamson
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA; Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.
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5
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Chen PJ, Hussmann JA, Yan J, Knipping F, Ravisankar P, Chen PF, Chen C, Nelson JW, Newby GA, Sahin M, Osborn MJ, Weissman JS, Adamson B, Liu DR. Enhanced prime editing systems by manipulating cellular determinants of editing outcomes. Cell 2021; 184:5635-5652.e29. [PMID: 34653350 PMCID: PMC8584034 DOI: 10.1016/j.cell.2021.09.018] [Citation(s) in RCA: 267] [Impact Index Per Article: 89.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 08/09/2021] [Accepted: 09/09/2021] [Indexed: 12/26/2022]
Abstract
While prime editing enables precise sequence changes in DNA, cellular determinants of prime editing remain poorly understood. Using pooled CRISPRi screens, we discovered that DNA mismatch repair (MMR) impedes prime editing and promotes undesired indel byproducts. We developed PE4 and PE5 prime editing systems in which transient expression of an engineered MMR-inhibiting protein enhances the efficiency of substitution, small insertion, and small deletion prime edits by an average 7.7-fold and 2.0-fold compared to PE2 and PE3 systems, respectively, while improving edit/indel ratios by 3.4-fold in MMR-proficient cell types. Strategic installation of silent mutations near the intended edit can enhance prime editing outcomes by evading MMR. Prime editor protein optimization resulted in a PEmax architecture that enhances editing efficacy by 2.8-fold on average in HeLa cells. These findings enrich our understanding of prime editing and establish prime editing systems that show substantial improvement across 191 edits in seven mammalian cell types.
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Affiliation(s)
- Peter J Chen
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA 02141, USA; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA; Howard Hughes Medical Institute, Harvard University, Cambridge, MA 02138, USA
| | - Jeffrey A Hussmann
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Jun Yan
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
| | - Friederike Knipping
- Department of Pediatrics, University of Minnesota, Minneapolis, MN 55454, USA; Center for Genome Engineering, University of Minnesota, Minneapolis, MN 55108, USA; Stem Cell Institute, University of Minnesota, Minneapolis, MN 55455, USA
| | - Purnima Ravisankar
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Pin-Fang Chen
- Human Neuron Core, Rosamund Stone Zander Translational Neuroscience Center, Boston Children's Hospital, Boston, MA 02115, USA; Department of Neurology, Boston Children's Hospital, Boston, MA 02115, USA
| | - Cidi Chen
- Human Neuron Core, Rosamund Stone Zander Translational Neuroscience Center, Boston Children's Hospital, Boston, MA 02115, USA; Department of Neurology, Boston Children's Hospital, Boston, MA 02115, USA
| | - James W Nelson
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA 02141, USA; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA; Howard Hughes Medical Institute, Harvard University, Cambridge, MA 02138, USA
| | - Gregory A Newby
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA 02141, USA; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA; Howard Hughes Medical Institute, Harvard University, Cambridge, MA 02138, USA
| | - Mustafa Sahin
- Human Neuron Core, Rosamund Stone Zander Translational Neuroscience Center, Boston Children's Hospital, Boston, MA 02115, USA; Department of Neurology, Boston Children's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Mark J Osborn
- Department of Pediatrics, University of Minnesota, Minneapolis, MN 55454, USA; Center for Genome Engineering, University of Minnesota, Minneapolis, MN 55108, USA; Stem Cell Institute, University of Minnesota, Minneapolis, MN 55455, USA
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; Whitehead Institute for Biomedical Research, Massachusetts Institute of Technology, Cambridge, MA 02142, USA
| | - Britt Adamson
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA; Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA.
| | - David R Liu
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA 02141, USA; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA; Howard Hughes Medical Institute, Harvard University, Cambridge, MA 02138, USA.
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6
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Jost M, Jacobson AN, Hussmann JA, Cirolia G, Fischbach MA, Weissman JS. CRISPR-based functional genomics in human dendritic cells. eLife 2021; 10:e65856. [PMID: 33904395 PMCID: PMC8104964 DOI: 10.7554/elife.65856] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 04/26/2021] [Indexed: 12/12/2022] Open
Abstract
Dendritic cells (DCs) regulate processes ranging from antitumor and antiviral immunity to host-microbe communication at mucosal surfaces. It remains difficult, however, to genetically manipulate human DCs, limiting our ability to probe how DCs elicit specific immune responses. Here, we develop a CRISPR-Cas9 genome editing method for human monocyte-derived DCs (moDCs) that mediates knockouts with a median efficiency of >94% across >300 genes. Using this method, we perform genetic screens in moDCs, identifying mechanisms by which DCs tune responses to lipopolysaccharides from the human microbiome. In addition, we reveal donor-specific responses to lipopolysaccharides, underscoring the importance of assessing immune phenotypes in donor-derived cells, and identify candidate genes that control this specificity, highlighting the potential of our method to pinpoint determinants of inter-individual variation in immunity. Our work sets the stage for a systematic dissection of the immune signaling at the host-microbiome interface and for targeted engineering of DCs for neoantigen vaccination.
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Affiliation(s)
- Marco Jost
- Department of Cellular and Molecular Pharmacology, University of California, San FranciscoSan FranciscoUnited States
- Howard Hughes Medical Institute, University of California, San FranciscoSan FranciscoUnited States
- California Institute for Quantitative Biosciences, University of California, San FranciscoSan FranciscoUnited States
- Department of Microbiology and Immunology, University of California, San FranciscoSan FranciscoUnited States
| | - Amy N Jacobson
- Department of Bioengineering, Stanford UniversityStanfordUnited States
- ChEM-H, Stanford UniversityStanfordUnited States
| | - Jeffrey A Hussmann
- Department of Cellular and Molecular Pharmacology, University of California, San FranciscoSan FranciscoUnited States
- Howard Hughes Medical Institute, University of California, San FranciscoSan FranciscoUnited States
- California Institute for Quantitative Biosciences, University of California, San FranciscoSan FranciscoUnited States
- Department of Microbiology and Immunology, University of California, San FranciscoSan FranciscoUnited States
- Whitehead Institute for Biomedical ResearchCambridgeUnited States
| | | | - Michael A Fischbach
- Department of Bioengineering, Stanford UniversityStanfordUnited States
- ChEM-H, Stanford UniversityStanfordUnited States
- Chan Zuckerberg BiohubSan FranciscoUnited States
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San FranciscoSan FranciscoUnited States
- Howard Hughes Medical Institute, University of California, San FranciscoSan FranciscoUnited States
- California Institute for Quantitative Biosciences, University of California, San FranciscoSan FranciscoUnited States
- Whitehead Institute for Biomedical ResearchCambridgeUnited States
- Department of Biology, Massachusetts Institute of TechnologyCambridgeUnited States
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Liu K, Santos DA, Hussmann JA, Wang Y, Sutter BM, Weissman JS, Tu BP. Regulation of translation by methylation multiplicity of 18S rRNA. Cell Rep 2021; 34:108825. [PMID: 33691096 PMCID: PMC8063911 DOI: 10.1016/j.celrep.2021.108825] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 01/04/2021] [Accepted: 02/12/2021] [Indexed: 02/01/2023] Open
Abstract
N6-methyladenosine (m6A) is a conserved ribonucleoside modification that regulates many facets of RNA metabolism. Using quantitative mass spectrometry, we find that the universally conserved tandem adenosines at the 3' end of 18S rRNA, thought to be constitutively di-methylated (m62A), are also mono-methylated (m6A). Although present at substoichiometric amounts, m6A at these positions increases significantly in response to sulfur starvation in yeast cells and mammalian cell lines. Combining yeast genetics and ribosome profiling, we provide evidence to suggest that m6A-bearing ribosomes carry out translation distinctly from m62A-bearing ribosomes, featuring a striking specificity for sulfur metabolism genes. Our work thus reveals methylation multiplicity as a mechanism to regulate translation.
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Affiliation(s)
- Kuanqing Liu
- Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Daniel A Santos
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey A Hussmann
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Yun Wang
- Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Benjamin M Sutter
- Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Benjamin P Tu
- Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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8
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Crawford ED, Acosta I, Ahyong V, Anderson EC, Arevalo S, Asarnow D, Axelrod S, Ayscue P, Azimi CS, Azumaya CM, Bachl S, Bachmutsky I, Bhaduri A, Brown JB, Batson J, Behnert A, Boileau RM, Bollam SR, Bonny AR, Booth D, Borja MJB, Brown D, Buie B, Burnett CE, Byrnes LE, Cabral KA, Cabrera JP, Caldera S, Canales G, Castañeda GR, Chan AP, Chang CR, Charles-Orszag A, Cheung C, Chio U, Chow ED, Citron YR, Cohen A, Cohn LB, Chiu C, Cole MA, Conrad DN, Constantino A, Cote A, Crayton-Hall T, Darmanis S, Detweiler AM, Dial RL, Dong S, Duarte EM, Dynerman D, Egger R, Fanton A, Frumm SM, Fu BXH, Garcia VE, Garcia J, Gladkova C, Goldman M, Gomez-Sjoberg R, Gordon MG, Grove JCR, Gupta S, Haddjeri-Hopkins A, Hadley P, Haliburton J, Hao SL, Hartoularos G, Herrera N, Hilberg M, Ho KYE, Hoppe N, Hosseinzadeh S, Howard CJ, Hussmann JA, Hwang E, Ingebrigtsen D, Jackson JR, Jowhar ZM, Kain D, Kim JYS, Kistler A, Kreutzfeld O, Kulsuptrakul J, Kung AF, Langelier C, Laurie MT, Lee L, Leng K, Leon KE, Leonetti MD, Levan SR, Li S, Li AW, Liu J, Lubin HS, Lyden A, Mann J, Mann S, Margulis G, Marquez DM, Marsh BP, Martyn C, McCarthy EE, McGeever A, Merriman AF, Meyer LK, Miller S, Moore MK, Mowery CT, Mukhtar T, Mwakibete LL, Narez N, Neff NF, Osso LA, Oviedo D, Peng S, Phelps M, Phong K, Picard P, Pieper LM, Pincha N, Pisco AO, Pogson A, Pourmal S, Puccinelli RR, Puschnik AS, Rackaityte E, Raghavan P, Raghavan M, Reese J, Replogle JM, Retallack H, Reyes H, Rose D, Rosenberg MF, Sanchez-Guerrero E, Sattler SM, Savy L, See SK, Sellers KK, Serpa PH, Sheehy M, Sheu J, Silas S, Streithorst JA, Strickland J, Stryke D, Sunshine S, Suslow P, Sutanto R, Tamura S, Tan M, Tan J, Tang A, Tato CM, Taylor JC, Tenvooren I, Thompson EM, Thornborrow EC, Tse E, Tung T, Turner ML, Turner VS, Turnham RE, Turocy MJ, Vaidyanathan TV, Vainchtein ID, Vanaerschot M, Vazquez SE, Wandler AM, Wapniarski A, Webber JT, Weinberg ZY, Westbrook A, Wong AW, Wong E, Worthington G, Xie F, Xu A, Yamamoto T, Yang Y, Yarza F, Zaltsman Y, Zheng T, DeRisi JL. Rapid deployment of SARS-CoV-2 testing: The CLIAHUB. PLoS Pathog 2020; 16:e1008966. [PMID: 33112933 PMCID: PMC7592773 DOI: 10.1371/journal.ppat.1008966] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- Emily D. Crawford
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
- University of California San Francisco, Department of Microbiology and Immunology, San Francisco, California, United States of America
| | - Irene Acosta
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Vida Ahyong
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Erika C. Anderson
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Shaun Arevalo
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Daniel Asarnow
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Shannon Axelrod
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Patrick Ayscue
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Camillia S. Azimi
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Caleigh M. Azumaya
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Stefanie Bachl
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Iris Bachmutsky
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Aparna Bhaduri
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Jeremy Bancroft Brown
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Joshua Batson
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Astrid Behnert
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Ryan M. Boileau
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Saumya R. Bollam
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Alain R. Bonny
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | - David Booth
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | | | - David Brown
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Bryan Buie
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Cassandra E. Burnett
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Lauren E. Byrnes
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Katelyn A. Cabral
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
- University of California San Francisco, Institute for Neurodegenerative Diseases, San Francisco, California, United States of America
| | - Joana P. Cabrera
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Saharai Caldera
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
- University of California San Francisco, Division of Infectious Disease, San Francisco, California, United States of America
| | - Gabriela Canales
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | | | - Agnes Protacio Chan
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Christopher R. Chang
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Arthur Charles-Orszag
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
- Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America
| | - Carly Cheung
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Unseng Chio
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Eric D. Chow
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | - Y. Rose Citron
- University of California, Berkeley, California, United States of America
| | - Allison Cohen
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Lillian B. Cohn
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
- University of California San Francisco, Department of Experimental Medicine, San Francisco, California, United States of America
| | - Charles Chiu
- University of California San Francisco, Department of Laboratory Medicine, San Francisco, California, United States of America
| | - Mitchel A. Cole
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Daniel N. Conrad
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Angela Constantino
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Andrew Cote
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | | | - Spyros Darmanis
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | | | - Rebekah L. Dial
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | - Shen Dong
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Elias M. Duarte
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - David Dynerman
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Rebecca Egger
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Alison Fanton
- University of California, Berkeley, California, United States of America
| | - Stacey M. Frumm
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Becky Xu Hua Fu
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Valentina E. Garcia
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | - Julie Garcia
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Christina Gladkova
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
- Howard Hughes Medical Institute, Chevy Chase, Maryland, United States of America
| | - Miriam Goldman
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | | | - M. Grace Gordon
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - James C. R. Grove
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Shweta Gupta
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Alexis Haddjeri-Hopkins
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Pierce Hadley
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
- University of California San Francisco, Institute for Neurodegenerative Diseases, San Francisco, California, United States of America
| | - John Haliburton
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Samantha L. Hao
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - George Hartoularos
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Nadia Herrera
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Melissa Hilberg
- University of California San Francisco, Department of Laboratory Medicine, San Francisco, California, United States of America
| | - Kit Ying E. Ho
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Nicholas Hoppe
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | | | - Conor J. Howard
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Jeffrey A. Hussmann
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Elizabeth Hwang
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Danielle Ingebrigtsen
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Julia R. Jackson
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Ziad M. Jowhar
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Danielle Kain
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - James Y. S. Kim
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Amy Kistler
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Oriana Kreutzfeld
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | | | - Andrew F. Kung
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Charles Langelier
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
- University of California San Francisco, Division of Infectious Disease, San Francisco, California, United States of America
| | - Matthew T. Laurie
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | - Lena Lee
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Kun Leng
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Kristoffer E. Leon
- Gladstone Institute, San Francisco, California, United States of America
| | - Manuel D. Leonetti
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Sophia R. Levan
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Sam Li
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | - Aileen W. Li
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Jamin Liu
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | - Heidi S. Lubin
- eSix Development, Oakland, California, United States of America
| | - Amy Lyden
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Jennifer Mann
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Sabrina Mann
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Gorica Margulis
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Diana M. Marquez
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Bryan P. Marsh
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Calla Martyn
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Elizabeth E. McCarthy
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Aaron McGeever
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | | | - Lauren K. Meyer
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Steve Miller
- University of California San Francisco, Department of Laboratory Medicine, San Francisco, California, United States of America
| | - Megan K. Moore
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Cody T. Mowery
- Gladstone Institute, San Francisco, California, United States of America
| | - Tanzila Mukhtar
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | | | - Noelle Narez
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Norma F. Neff
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Lindsay A. Osso
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Diter Oviedo
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Suping Peng
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Maira Phelps
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Kiet Phong
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Peter Picard
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Lindsey M. Pieper
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Neha Pincha
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | | | - Angela Pogson
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Sergei Pourmal
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | | | | | - Elze Rackaityte
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | - Preethi Raghavan
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Madhura Raghavan
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | - James Reese
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Joseph M. Replogle
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Hanna Retallack
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | - Helen Reyes
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Donald Rose
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Marci F. Rosenberg
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | | | - Sydney M. Sattler
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Laura Savy
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Stephanie K. See
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Kristin K. Sellers
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Paula Hayakawa Serpa
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
- University of California San Francisco, Division of Infectious Disease, San Francisco, California, United States of America
| | - Maureen Sheehy
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Jonathan Sheu
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Sukrit Silas
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Jessica A. Streithorst
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Jack Strickland
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Doug Stryke
- University of California San Francisco, Department of Laboratory Medicine, San Francisco, California, United States of America
| | - Sara Sunshine
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | - Peter Suslow
- University of California San Francisco, Department of Laboratory Medicine, San Francisco, California, United States of America
| | - Renaldo Sutanto
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Serena Tamura
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Michelle Tan
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Jiongyi Tan
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Alice Tang
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Cristina M. Tato
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Jack C. Taylor
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Iliana Tenvooren
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Erin M. Thompson
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Edward C. Thornborrow
- University of California San Francisco, Department of Laboratory Medicine, San Francisco, California, United States of America
| | - Eric Tse
- Joint Bioengineering Graduate Program, University of California, Berkeley, California, United States of America
| | - Tony Tung
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Marc L. Turner
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Victoria S. Turner
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Rigney E. Turnham
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Mary J. Turocy
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Trisha V. Vaidyanathan
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Ilia D. Vainchtein
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Manu Vanaerschot
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Sara E. Vazquez
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
| | - Anica M. Wandler
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Anne Wapniarski
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - James T. Webber
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Zara Y. Weinberg
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Alexandra Westbrook
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Allison W. Wong
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Emily Wong
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Gajus Worthington
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
| | - Fang Xie
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Albert Xu
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Terrina Yamamoto
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Ying Yang
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Fauna Yarza
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Yefim Zaltsman
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Tina Zheng
- University of California San Francisco, School of Medicine, San Francisco, California, United States of America
| | - Joseph L. DeRisi
- Chan Zuckerberg Biohub, San Francisco, California, United States of America
- University of California San Francisco, Department of Biochemistry and Biophysics, San Francisco, California, United States of America
- * E-mail:
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9
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Hickey KL, Dickson K, Cogan JZ, Replogle JM, Schoof M, D'Orazio KN, Sinha NK, Hussmann JA, Jost M, Frost A, Green R, Weissman JS, Kostova KK. GIGYF2 and 4EHP Inhibit Translation Initiation of Defective Messenger RNAs to Assist Ribosome-Associated Quality Control. Mol Cell 2020; 79:950-962.e6. [PMID: 32726578 PMCID: PMC7891188 DOI: 10.1016/j.molcel.2020.07.007] [Citation(s) in RCA: 83] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 07/07/2020] [Accepted: 07/07/2020] [Indexed: 12/31/2022]
Abstract
Ribosome-associated quality control (RQC) pathways protect cells from toxicity caused by incomplete protein products resulting from translation of damaged or problematic mRNAs. Extensive work in yeast has identified highly conserved mechanisms that lead to degradation of faulty mRNA and partially synthesized polypeptides. Here we used CRISPR-Cas9-based screening to search for additional RQC strategies in mammals. We found that failed translation leads to specific inhibition of translation initiation on that message. This negative feedback loop is mediated by two translation inhibitors, GIGYF2 and 4EHP. Model substrates and growth-based assays established that inhibition of additional rounds of translation acts in concert with known RQC pathways to prevent buildup of toxic proteins. Inability to block translation of faulty mRNAs and subsequent accumulation of partially synthesized polypeptides could explain the neurodevelopmental and neuropsychiatric disorders observed in mice and humans with compromised GIGYF2 function.
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Affiliation(s)
- Kelsey L Hickey
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Kimberley Dickson
- Department of Biology, Lawerence University, Appleton, WI 54911, USA
| | - J Zachery Cogan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Joseph M Replogle
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Michael Schoof
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Karole N D'Orazio
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Niladri K Sinha
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Jeffrey A Hussmann
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Marco Jost
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Adam Frost
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - Rachel Green
- Department of Biology, Johns Hopkins University, Baltimore, MD 21218, USA; Howard Hughes Medical Institute, Carnegie Institution for Science, Baltimore, MD 21218, USA
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, Carnegie Institution for Science, Baltimore, MD 21218, USA.
| | - Kamena K Kostova
- Department of Embryology, Carnegie Institution for Science, Baltimore, MD 21218, USA.
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10
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Replogle JM, Norman TM, Xu A, Hussmann JA, Chen J, Cogan JZ, Meer EJ, Terry JM, Riordan DP, Srinivas N, Fiddes IT, Arthur JG, Alvarado LJ, Pfeiffer KA, Mikkelsen TS, Weissman JS, Adamson B. Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing. Nat Biotechnol 2020; 38:954-961. [PMID: 32231336 PMCID: PMC7416462 DOI: 10.1038/s41587-020-0470-y] [Citation(s) in RCA: 166] [Impact Index Per Article: 41.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 02/26/2020] [Indexed: 12/13/2022]
Abstract
Single-cell CRISPR screens enable the exploration of mammalian gene function and genetic regulatory networks. However, use of this technology has been limited by reliance on indirect indexing of single-guide RNAs (sgRNAs). Here we present direct-capture Perturb-seq, a versatile screening approach in which expressed sgRNAs are sequenced alongside single-cell transcriptomes. Direct-capture Perturb-seq enables detection of multiple distinct sgRNA sequences from individual cells and thus allows pooled single-cell CRISPR screens to be easily paired with combinatorial perturbation libraries that contain dual-guide expression vectors. We demonstrate the utility of this approach for high-throughput investigations of genetic interactions and, leveraging this ability, dissect epistatic interactions between cholesterol biogenesis and DNA repair. Using direct capture Perturb-seq, we also show that targeting individual genes with multiple sgRNAs per cell improves efficacy of CRISPR interference and activation, facilitating the use of compact, highly active CRISPR libraries for single-cell screens. Last, we show that hybridization-based target enrichment permits sensitive, specific sequencing of informative transcripts from single-cell RNA-seq experiments.
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Affiliation(s)
- Joseph M Replogle
- Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA, USA
- Tetrad Graduate Program, University of California, San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA, USA
| | - Thomas M Norman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA, USA
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Albert Xu
- Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA, USA
| | - Jeffrey A Hussmann
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Jin Chen
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA, USA
| | - J Zachery Cogan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA, USA
| | | | | | | | | | | | | | | | | | | | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA, USA.
| | - Britt Adamson
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA.
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11
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Jones MG, Khodaverdian A, Quinn JJ, Chan MM, Hussmann JA, Wang R, Xu C, Weissman JS, Yosef N. Inference of single-cell phylogenies from lineage tracing data using Cassiopeia. Genome Biol 2020; 21:92. [PMID: 32290857 PMCID: PMC7155257 DOI: 10.1186/s13059-020-02000-8] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 03/13/2020] [Indexed: 12/14/2022] Open
Abstract
The pairing of CRISPR/Cas9-based gene editing with massively parallel single-cell readouts now enables large-scale lineage tracing. However, the rapid growth in complexity of data from these assays has outpaced our ability to accurately infer phylogenetic relationships. First, we introduce Cassiopeia-a suite of scalable maximum parsimony approaches for tree reconstruction. Second, we provide a simulation framework for evaluating algorithms and exploring lineage tracer design principles. Finally, we generate the most complex experimental lineage tracing dataset to date, 34,557 human cells continuously traced over 15 generations, and use it for benchmarking phylogenetic inference approaches. We show that Cassiopeia outperforms traditional methods by several metrics and under a wide variety of parameter regimes, and provide insight into the principles for the design of improved Cas9-enabled recorders. Together, these should broadly enable large-scale mammalian lineage tracing efforts. Cassiopeia and its benchmarking resources are publicly available at www.github.com/YosefLab/Cassiopeia.
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Affiliation(s)
- Matthew G Jones
- Biological and Medical Informatics Graduate Program, University of California San Francisco, San Francisco, CA, USA
- Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
| | - Alex Khodaverdian
- Department of Electrical Engineering and Computer Science and Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
| | - Jeffrey J Quinn
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Center for RNA Systems Biology, University of California San Francisco, San Francisco, CA, USA
| | - Michelle M Chan
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Center for RNA Systems Biology, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey A Hussmann
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA
- Center for RNA Systems Biology, University of California San Francisco, San Francisco, CA, USA
- University of California, San Francisco, Department of Microbiology and Immunology, San Francisco, California, USA
| | - Robert Wang
- Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
| | - Chenling Xu
- Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA
| | - Jonathan S Weissman
- Howard Hughes Medical Institute, University of California San Francisco, San Francisco, CA, USA.
- Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, USA.
- Center for RNA Systems Biology, University of California San Francisco, San Francisco, CA, USA.
| | - Nir Yosef
- Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA.
- Department of Electrical Engineering and Computer Science and Center for Computational Biology, University of California Berkeley, Berkeley, CA, USA.
- Ragon Institute of Massachusetts General Hospital - MIT and Harvard, Cambridge, MA, USA.
- Chan Zuckerberg Biohub Investigator, San Francisco, CA, USA.
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12
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Jost M, Santos DA, Saunders RA, Horlbeck MA, Hawkins JS, Scaria SM, Norman TM, Hussmann JA, Liem CR, Gross CA, Weissman JS. Titrating gene expression using libraries of systematically attenuated CRISPR guide RNAs. Nat Biotechnol 2020; 38:355-364. [PMID: 31932729 PMCID: PMC7065968 DOI: 10.1038/s41587-019-0387-5] [Citation(s) in RCA: 84] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Accepted: 12/05/2019] [Indexed: 02/07/2023]
Abstract
A lack of tools to precisely control gene expression has limited our ability to evaluate relationships between expression levels and phenotypes. Here, we describe an approach to titrate expression of human genes using CRISPR interference and series of single-guide RNAs (sgRNAs) with systematically modulated activities. We used large-scale measurements across multiple cell models to characterize activities of sgRNAs containing mismatches to their target sites and derived rules governing mismatched sgRNA activity using deep learning. These rules enabled us to synthesize a compact sgRNA library to titrate expression of ~2,400 genes essential for robust cell growth and to construct an in silico sgRNA library spanning the human genome. Staging cells along a continuum of gene expression levels combined with single-cell RNA-seq readout revealed sharp transitions in cellular behaviors at gene-specific expression thresholds. Our work provides a general tool to control gene expression, with applications ranging from tuning biochemical pathways to identifying suppressors for diseases of dysregulated gene expression.
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Affiliation(s)
- Marco Jost
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel A Santos
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Reuben A Saunders
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Max A Horlbeck
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA, USA
| | - John S Hawkins
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Sonia M Scaria
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Thomas M Norman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA, USA
- Computational & Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jeffrey A Hussmann
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
| | - Christina R Liem
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA
- California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Carol A Gross
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA
- Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA, USA
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
- California Institute for Quantitative Biosciences, University of California, San Francisco, San Francisco, CA, USA.
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13
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Abstract
Ribosomes contain proteins that must themselves be made by ribosomes. A new study shows that splitting ribosomal protein content into many small, similarly sized units maximizes the efficiency of this synthesis, suggesting that ribosomal architecture has been shaped by evolutionary pressure to efficiently self-synthesize.
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Affiliation(s)
- Jeffrey A Hussmann
- Department of Microbiology and Immunology, University of California San Francisco, San Francisco CA 94143, USA.
| | - Hendrik Osadnik
- Department of Microbiology and Immunology, University of California San Francisco, San Francisco CA 94143, USA
| | - Carol A Gross
- Department of Microbiology and Immunology, University of California San Francisco, San Francisco CA 94143, USA; Department of Cell and Tissue Biology, University of California San Francisco, San Francisco CA 94143, USA
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14
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Abstract
The translation of messenger RNA (mRNA) into protein and the folding of the resulting protein into an active form are prerequisites for virtually every cellular process and represent the single largest investment of energy by cells. Ribosome profiling-based approaches have revolutionized our ability to monitor every step of protein synthesis in vivo, allowing one to measure the rate of protein synthesis across the proteome, annotate the protein coding capacity of genomes, monitor localized protein synthesis, and explore cotranslational folding and targeting. The rich and quantitative nature of ribosome profiling data provides an unprecedented opportunity to explore and model complex cellular processes. New analytical techniques and improved experimental protocols will provide a deeper understanding of the factors controlling translation speed and its impact on protein function and cell physiology as well as the role of ribosomal RNA and mRNA modifications in regulating translation.
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Affiliation(s)
- Nicholas T Ingolia
- Department of Molecular and Cell Biology, University of California, Berkeley, California 94720
| | - Jeffrey A Hussmann
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California 94158.,Howard Hughes Medical Institute, San Francisco, California 94158
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, California 94158.,Howard Hughes Medical Institute, San Francisco, California 94158
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15
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Shurtleff MJ, Itzhak DN, Hussmann JA, Schirle Oakdale NT, Costa EA, Jonikas M, Weibezahn J, Popova KD, Jan CH, Sinitcyn P, Vembar SS, Hernandez H, Cox J, Burlingame AL, Brodsky JL, Frost A, Borner GH, Weissman JS. The ER membrane protein complex interacts cotranslationally to enable biogenesis of multipass membrane proteins. eLife 2018; 7:37018. [PMID: 29809151 PMCID: PMC5995541 DOI: 10.7554/elife.37018] [Citation(s) in RCA: 120] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 05/26/2018] [Indexed: 12/20/2022] Open
Abstract
The endoplasmic reticulum (ER) supports biosynthesis of proteins with diverse transmembrane domain (TMD) lengths and hydrophobicity. Features in transmembrane domains such as charged residues in ion channels are often functionally important, but could pose a challenge during cotranslational membrane insertion and folding. Our systematic proteomic approaches in both yeast and human cells revealed that the ER membrane protein complex (EMC) binds to and promotes the biogenesis of a range of multipass transmembrane proteins, with a particular enrichment for transporters. Proximity-specific ribosome profiling demonstrates that the EMC engages clients cotranslationally and immediately following clusters of TMDs enriched for charged residues. The EMC can remain associated after completion of translation, which both protects clients from premature degradation and allows recruitment of substrate-specific and general chaperones. Thus, the EMC broadly enables the biogenesis of multipass transmembrane proteins containing destabilizing features, thereby mitigating the trade-off between function and stability.
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Affiliation(s)
- Matthew J Shurtleff
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
| | - Daniel N Itzhak
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Jeffrey A Hussmann
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
| | - Nicole T Schirle Oakdale
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States.,Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States
| | - Elizabeth A Costa
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
| | - Martin Jonikas
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
| | - Jimena Weibezahn
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
| | - Katerina D Popova
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
| | - Calvin H Jan
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
| | - Pavel Sinitcyn
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Shruthi S Vembar
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, United States
| | - Hilda Hernandez
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States
| | - Jürgen Cox
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Alma L Burlingame
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, United States
| | - Jeffrey L Brodsky
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, United States
| | - Adam Frost
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, United States.,Chan Zuckerberg Biohub, San Francisco, United States
| | - Georg Hh Borner
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States.,Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, United States
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16
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Kostova KK, Hickey KL, Osuna BA, Hussmann JA, Frost A, Weinberg DE, Weissman JS. CAT-tailing as a fail-safe mechanism for efficient degradation of stalled nascent polypeptides. Science 2017; 357:414-417. [PMID: 28751611 PMCID: PMC5673106 DOI: 10.1126/science.aam7787] [Citation(s) in RCA: 96] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2017] [Revised: 05/04/2017] [Accepted: 06/28/2017] [Indexed: 12/27/2022]
Abstract
Ribosome stalling leads to recruitment of the ribosome quality control complex (RQC), which targets the partially synthesized polypeptide for proteasomal degradation through the action of the ubiquitin ligase Ltn1p. A second core RQC component, Rqc2p, modifies the nascent polypeptide by adding a carboxyl-terminal alanine and threonine (CAT) tail through a noncanonical elongation reaction. Here we examined the role of CAT-tailing in nascent-chain degradation in budding yeast. We found that Ltn1p efficiently accessed only nascent-chain lysines immediately proximal to the ribosome exit tunnel. For substrates without Ltn1p-accessible lysines, CAT-tailing enabled degradation by exposing lysines sequestered in the ribosome exit tunnel. Thus, CAT-tails do not serve as a degron, but rather provide a fail-safe mechanism that expands the range of RQC-degradable substrates.
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Affiliation(s)
- Kamena K Kostova
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Kelsey L Hickey
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Beatriz A Osuna
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Jeffrey A Hussmann
- Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94158, USA
| | - Adam Frost
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA 94158, USA
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA
- Department of Biochemistry, University of Utah, Salt Lake City, UT 84112, USA
- Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
| | - David E Weinberg
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA.
| | - Jonathan S Weissman
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA.
- Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA
- California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA
- Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA 94720, USA
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17
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Weinberg DE, Shah P, Eichhorn SW, Hussmann JA, Plotkin JB, Bartel DP. Improved Ribosome-Footprint and mRNA Measurements Provide Insights into Dynamics and Regulation of Yeast Translation. Cell Rep 2016; 14:1787-1799. [PMID: 26876183 DOI: 10.1016/j.celrep.2016.01.043] [Citation(s) in RCA: 244] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Revised: 11/17/2015] [Accepted: 01/08/2016] [Indexed: 02/07/2023] Open
Abstract
Ribosome-footprint profiling provides genome-wide snapshots of translation, but technical challenges can confound its analysis. Here, we use improved methods to obtain ribosome-footprint profiles and mRNA abundances that more faithfully reflect gene expression in Saccharomyces cerevisiae. Our results support proposals that both the beginning of coding regions and codons matching rare tRNAs are more slowly translated. They also indicate that emergent polypeptides with as few as three basic residues within a ten-residue window tend to slow translation. With the improved mRNA measurements, the variation attributable to translational control in exponentially growing yeast was less than previously reported, and most of this variation could be predicted with a simple model that considered mRNA abundance, upstream open reading frames, cap-proximal structure and nucleotide composition, and lengths of the coding and 5' UTRs. Collectively, our results provide a framework for executing and interpreting ribosome-profiling studies and reveal key features of translational control in yeast.
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Affiliation(s)
- David E Weinberg
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA.
| | - Premal Shah
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Stephen W Eichhorn
- Howard Hughes Medical Institute; Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Jeffrey A Hussmann
- Institute for Computational Engineering and Sciences, University of Texas, Austin, TX 78712, USA; Institute for Cellular and Molecular Biology, University of Texas, Austin, TX 78712, USA
| | - Joshua B Plotkin
- Department of Biology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - David P Bartel
- Howard Hughes Medical Institute; Whitehead Institute for Biomedical Research, 9 Cambridge Center, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
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18
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Hussmann JA, Patchett S, Johnson A, Sawyer S, Press WH. Understanding Biases in Ribosome Profiling Experiments Reveals Signatures of Translation Dynamics in Yeast. PLoS Genet 2015; 11:e1005732. [PMID: 26656907 PMCID: PMC4684354 DOI: 10.1371/journal.pgen.1005732] [Citation(s) in RCA: 155] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2015] [Accepted: 11/18/2015] [Indexed: 11/18/2022] Open
Abstract
Ribosome profiling produces snapshots of the locations of actively translating ribosomes on messenger RNAs. These snapshots can be used to make inferences about translation dynamics. Recent ribosome profiling studies in yeast, however, have reached contradictory conclusions regarding the average translation rate of each codon. Some experiments have used cycloheximide (CHX) to stabilize ribosomes before measuring their positions, and these studies all counterintuitively report a weak negative correlation between the translation rate of a codon and the abundance of its cognate tRNA. In contrast, some experiments performed without CHX report strong positive correlations. To explain this contradiction, we identify unexpected patterns in ribosome density downstream of each type of codon in experiments that use CHX. These patterns are evidence that elongation continues to occur in the presence of CHX but with dramatically altered codon-specific elongation rates. The measured positions of ribosomes in these experiments therefore do not reflect the amounts of time ribosomes spend at each position in vivo. These results suggest that conclusions from experiments in yeast using CHX may need reexamination. In particular, we show that in all such experiments, codons decoded by less abundant tRNAs were in fact being translated more slowly before the addition of CHX disrupted these dynamics. Ribosome profiling measures the precise locations of millions of actively translating ribosomes on mRNAs. In theory, the frequency with which ribosomes are observed positioned over each type of codon can be used to quantify the speed with which each codon is translated. In practice, ribosome profiling experiments in yeast that use translation inhibitors to arrest translation before measuring the positions of ribosomes report very different apparent translation speeds for each codon than experiments that do not use inhibitors. To explain this inconsistency, we show that a previously unappreciated mechanism causes experiments using translation inhibitors to not measure ribosomes at each position on mRNAs in proportion to the actual amount of time spent there in vivo. Understanding this mechanism reveals that experiments without inhibitors more accurately measure translation dynamics and provides guidance for the design and interpretation of future ribosome profiling experiments.
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Affiliation(s)
- Jeffrey A. Hussmann
- Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas, United States of America
- * E-mail:
| | - Stephanie Patchett
- Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, Texas, United States of America
| | - Arlen Johnson
- Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, Texas, United States of America
| | - Sara Sawyer
- BioFrontiers Institute, University of Colorado, Boulder, Colorado, United States of America
| | - William H. Press
- Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, Texas, United States of America
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Hussmann JA, Press WH. Local correlations in codon preferences do not support a model of tRNA recycling. Cell Rep 2014; 8:1624-1629. [PMID: 25199837 DOI: 10.1016/j.celrep.2014.08.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2014] [Revised: 07/28/2014] [Accepted: 08/06/2014] [Indexed: 10/24/2022] Open
Abstract
It has been proposed that patterns in the usage of synonymous codons provide evidence that individual tRNA molecules are recycled through the ribosome, translating several occurrences of the same amino acid before diffusing away. The claimed evidence is based on counting the frequency with which pairs of synonymous codons are used at nearby occurrences of the same amino acid, as compared to the frequency expected if each codon were chosen independently from a single genome-wide distribution. We show that such statistics simply measure variation in codon preferences across a genome. As a negative control on the potential contribution of pressure to exploit tRNA recycling on these signals, we examine correlations in the usage of codons that encode different amino acids. We find that these controls are statistically as strong as the claimed evidence and conclude that there is no informatic evidence that tRNA recycling is a force shaping codon usage.
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Affiliation(s)
- Jeffrey A Hussmann
- Institute for Computational Engineering and Sciences, University of Texas, Austin, TX 78712, USA; Institute for Cellular and Molecular Biology, University of Texas, Austin, TX 78712, USA.
| | - William H Press
- Institute for Computational Engineering and Sciences, University of Texas, Austin, TX 78712, USA; Institute for Cellular and Molecular Biology, University of Texas, Austin, TX 78712, USA
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