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Yan J, Oyler-Castrillo P, Ravisankar P, Ward CC, Levesque S, Jing Y, Simpson D, Zhao A, Li H, Yan W, Goudy L, Schmidt R, Solley SC, Gilbert LA, Chan MM, Bauer DE, Marson A, Parsons LR, Adamson B. Improving prime editing with an endogenous small RNA-binding protein. Nature 2024; 628:639-647. [PMID: 38570691 PMCID: PMC11023932 DOI: 10.1038/s41586-024-07259-6] [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: 04/25/2023] [Accepted: 02/29/2024] [Indexed: 04/05/2024]
Abstract
Prime editing enables the precise modification of genomes through reverse transcription of template sequences appended to the 3' ends of CRISPR-Cas guide RNAs1. To identify cellular determinants of prime editing, we developed scalable prime editing reporters and performed genome-scale CRISPR-interference screens. From these screens, a single factor emerged as the strongest mediator of prime editing: the small RNA-binding exonuclease protection factor La. Further investigation revealed that La promotes prime editing across approaches (PE2, PE3, PE4 and PE5), edit types (substitutions, insertions and deletions), endogenous loci and cell types but has no consistent effect on genome-editing approaches that rely on standard, unextended guide RNAs. Previous work has shown that La binds polyuridine tracts at the 3' ends of RNA polymerase III transcripts2. We found that La functionally interacts with the 3' ends of polyuridylated prime editing guide RNAs (pegRNAs). Guided by these results, we developed a prime editor protein (PE7) fused to the RNA-binding, N-terminal domain of La. This editor improved prime editing with expressed pegRNAs and engineered pegRNAs (epegRNAs), as well as with synthetic pegRNAs optimized for La binding. Together, our results provide key insights into how prime editing components interact with the cellular environment and suggest general strategies for stabilizing exogenous small RNAs therein.
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Affiliation(s)
- Jun Yan
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Paul Oyler-Castrillo
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Purnima Ravisankar
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA
| | - Carl C Ward
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
| | - Sébastien Levesque
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Broad Institute, Cambridge, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Yangwode Jing
- Department of Chemistry, Princeton University, Princeton, NJ, USA
| | - Danny Simpson
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Anqi Zhao
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Hui Li
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Weihao Yan
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Laine Goudy
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
- Arc Institute, Palo Alto, CA, USA
| | - Ralf Schmidt
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Sabrina C Solley
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Luke A Gilbert
- Arc Institute, Palo Alto, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
| | - Michelle M Chan
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Daniel E Bauer
- Division of Hematology/Oncology, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Broad Institute, Cambridge, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Alexander Marson
- Gladstone-UCSF Institute of Genomic Immunology, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Lance R Parsons
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Britt Adamson
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA.
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
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2
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Cirincione A, Simpson D, Ravisankar P, Solley SC, Yan J, Singh M, Adamson B. A benchmarked, high-efficiency prime editing platform for multiplexed dropout screening. bioRxiv 2024:2024.03.25.585978. [PMID: 38585933 PMCID: PMC10996517 DOI: 10.1101/2024.03.25.585978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Prime editing installs precise edits into the genome with minimal unwanted byproducts, but low and variable editing efficiencies have complicated application of the approach to high-throughput functional genomics. Leveraging several recent advances, we assembled a prime editing platform capable of high-efficiency substitution editing across a set of engineered prime editing guide RNAs (epegRNAs) and corresponding target sequences (80% median intended editing). Then, using a custom library of 240,000 epegRNAs targeting >17,000 codons with 175 different substitution types, we benchmarked our platform for functional interrogation of small substitution variants (1-3 nucleotides) targeted to essential genes. Resulting data identified negative growth phenotypes for nonsense mutations targeted to ~8,000 codons, and comparing those phenotypes to results from controls demonstrated high specificity. We also observed phenotypes for synonymous mutations that disrupted splice site motifs at 3' exon boundaries. Altogether, we establish and benchmark a high-throughput prime editing approach for functional characterization of genetic variants with simple readouts from multiplexed experiments.
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Affiliation(s)
- Ann Cirincione
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
| | - Danny Simpson
- 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
- Present address: Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School of Medical Sciences, New York, NY 10065, USA
| | - Sabrina C Solley
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
| | - Jun Yan
- Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA
| | - Mona Singh
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA
- Department of Computer Science, Princeton University, Princeton, NJ 08544, 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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3
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Sanidad KZ, Rager SL, Carrow HC, Ananthanarayanan A, Callaghan R, Hart LR, Li T, Ravisankar P, Brown JA, Amir M, Jin JC, Savage AR, Luo R, Rowdo FM, Martin ML, Silver RB, Guo CJ, Krumsiek J, Inohara N, Zeng MY. Gut bacteria-derived serotonin promotes immune tolerance in early life. Sci Immunol 2024; 9:eadj4775. [PMID: 38489352 DOI: 10.1126/sciimmunol.adj4775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 06/30/2023] [Accepted: 02/06/2024] [Indexed: 03/17/2024]
Abstract
The gut microbiota promotes immune system development in early life, but the interactions between the gut metabolome and immune cells in the neonatal gut remain largely undefined. Here, we demonstrate that the neonatal gut is uniquely enriched with neurotransmitters, including serotonin, and that specific gut bacteria directly produce serotonin while down-regulating monoamine oxidase A to limit serotonin breakdown. We found that serotonin directly signals to T cells to increase intracellular indole-3-acetaldehdye and inhibit mTOR activation, thereby promoting the differentiation of regulatory T cells, both ex vivo and in vivo in the neonatal intestine. Oral gavage of serotonin into neonatal mice resulted in long-term T cell-mediated antigen-specific immune tolerance toward both dietary antigens and commensal bacteria. Together, our study has uncovered an important role for specific gut bacteria to increase serotonin availability in the neonatal gut and identified a function of gut serotonin in shaping T cell response to dietary antigens and commensal bacteria to promote immune tolerance in early life.
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Affiliation(s)
- Katherine Z Sanidad
- Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Stephanie L Rager
- Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Hannah C Carrow
- Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, USA
- Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School, New York, NY 10065, USA
| | - Aparna Ananthanarayanan
- Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Ryann Callaghan
- Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School, New York, NY 10065, USA
| | - Lucy R Hart
- Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Tingting Li
- Jill Roberts Institute for Inflammatory Bowel Disease, Weill Cornell Medicine, New York, NY 10065, USA
| | - Purnima Ravisankar
- Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, USA
- Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School, New York, NY 10065, USA
| | - Julia A Brown
- Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Mohammed Amir
- Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Jenny C Jin
- Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Alexandria Rose Savage
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Ryan Luo
- Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY 10065, USA
| | | | - M Laura Martin
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Randi B Silver
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY 10065, USA
| | - Chun-Jun Guo
- Jill Roberts Institute for Inflammatory Bowel Disease, Weill Cornell Medicine, New York, NY 10065, USA
| | - Jan Krumsiek
- Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Naohiro Inohara
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI 48109, USA
| | - Melody Y Zeng
- Gale and Ira Drukier Institute for Children's Health, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Pediatrics, Weill Cornell Medicine, New York, NY 10065, USA
- Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School, New York, NY 10065, USA
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4
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Kim-Yip RP, McNulty R, Joyce B, Mollica A, Chen PJ, Ravisankar P, Law BK, Liu DR, Toettcher JE, Ivakine EA, Posfai E, Adamson B. Efficient prime editing in two-cell mouse embryos using PEmbryo. Nat Biotechnol 2024:10.1038/s41587-023-02106-x. [PMID: 38321114 DOI: 10.1038/s41587-023-02106-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 12/14/2023] [Indexed: 02/08/2024]
Abstract
Using transient inhibition of DNA mismatch repair during a permissive stage of development, we demonstrate highly efficient prime editing of mouse embryos with few unwanted, local byproducts (average 58% precise edit frequency, 0.5% on-target error frequency across 13 substitution edits at 8 sites), enabling same-generation phenotyping of founders. Whole-genome sequencing reveals that mismatch repair inhibition increases off-target indels at low-complexity regions in the genome without any obvious phenotype in mice.
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Affiliation(s)
- Rebecca P Kim-Yip
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Ryan McNulty
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Bradley Joyce
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Antonio Mollica
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Biochemistry, University of Toronto, Toronto, ON, Canada
| | - Peter J Chen
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
- Prime Medicine, Inc., Cambridge, MA, USA
| | - Purnima Ravisankar
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
- Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School of Medical Sciences, New York, NY, USA
| | - Benjamin K Law
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - David R Liu
- Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA
- Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA
| | - Jared E Toettcher
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Evgueni A Ivakine
- Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Physiology, University of Toronto, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Eszter Posfai
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA.
| | - Britt Adamson
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA.
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
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5
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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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6
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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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7
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Ravisankar P, Kumar R, Muthusamy R. Neurochemical and histological observations after the transplantation of human amniotic epithelial cells in 6-hydroxydomine (6-ohda) lesioned corpus striatum of Wistar albino rats. J ANAT SOC INDIA 2016. [DOI: 10.1016/j.jasi.2016.08.149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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8
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Ravisankar P, Ravi V. Financial distress prediction in banks using Group Method of Data Handling neural network, counter propagation neural network and fuzzy ARTMAP. Knowl Based Syst 2010. [DOI: 10.1016/j.knosys.2010.05.007] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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9
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Ravisankar P, Udupa K, Prakash ES. Correlation between body mass index and blood pressure indices, handgrip strength and handgrip endurance in underweight, normal weight and overweight adolescents. Indian J Physiol Pharmacol 2005; 49:455-61. [PMID: 16579400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
In the present study, we investigated the correlation between body mass index (BMI), blood pressure (BP) indices and indices of physical fitness in apparently healthy subjects aged 14-18 years. We obtained data from 145 (105 males and 40 females) and assessed the correlation between BMI, and heart rate, systolic pressure (SP), diastolic pressure (DP), pulse pressure (PP), mean arterial pressure (MP), rate-pressure product, endurance in the 40 mm Hg test, handgrip strength (HGS), and handgrip endurance. Subjects with BMI <18.5 kg/m2, 18.5-25 kg/m2 and >25 kg/m2 were classed as underweight (65 males and 9 females), normal weight (27 males and 20 females), and overweight (13 males and 11 females) respectively. In view of gender differences in autonomic regulation, data of male and female subjects were analyzed separately. We used analysis of variance to compare differences between the three groups. Correlation between BMI and other indices was tested using Pearson's correlation coefficient. A P value <0.05 was considered statistically significant Both SP and DP were highest in overweight and least in underweight male subjects (P<0.05 for both), whereas in females, differences in DP alone were statistically significant (P<0.05). In underweight male subjects, there was a positive correlation between BMI and SP, DP, PP, MP and HGS (P<0.05 for all). There was a positive correlation between BMI and SP in overweight male subjects (r = 0.5 P = 0.07, n = 13). A positive correlation was observed between BMI and rate-pressure product (r = 0.5, P = 0.45, n = 11) and BMI and HGS (r = 0.6, P = 0.05, n = 11) in overweight females. Our observations indicate that there are gender differences in the correlation between BMI and BP indices especially in underweight and overweight subjects. The observed differences between the three groups and gender differences in correlation between BMI and BP indices may be due to differences in autonomic function and or energy metabolism.
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Affiliation(s)
- P Ravisankar
- Department of Physiology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Pondicherry--605 006.
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10
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Abstract
A role for interferon-gamma (IFN-gamma) has been implied in the atherogenic process. To determine whether exogenously administered IFN-gamma exerts an effect on the development of atherosclerosis, we intraperitoneally administered either recombinant IFN-gamma (100 U/g body weight) or phosphate buffered saline daily for 30 days to atherosclerosis-susceptible apolipoprotein E-/- mice (16-week-old male mice, n = 11 per group) fed a normal diet. Atherosclerotic lesion size was quantified in the ascending aorta. The number of T lymphocytes and major histocompatibility complex (MHC) class II-positive cells within lesions were also quantified in this region. IFN-gamma administration reduced serum cholesterol concentrations by 15% (P = 0.02). For both groups, the majority of cholesterol was present in very low density lipoproteins, which were modestly reduced in mice receiving IFN-gamma. Despite the decrease in serum cholesterol concentrations, IFN-gamma injections significantly increased lesion size twofold compared to controls (119,980 +/- 18, 536 vs. 59,396 +/- 20,017 micrometer(2); P = 0.038). IFN-gamma also significantly increased the mean number of T lymphocytes (19 +/- 4 vs. 7 +/- 1 cells; P = 0.03) and MHC class II-positive cells (10 +/- 3 vs. 3 +/- 1 cells; P = 0.04) within lesions. These data lend further support to a pro-atherogenic role of IFN-gamma.
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Affiliation(s)
- S C Whitman
- Gill Heart Institute, Atherosclerosis Research Group, Division of Cardiovascular Medicine, University of Kentucky, Lexington, Kentucky, USA
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