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Veeneman B, Gao Y, Grant J, Fruhling D, Ahn J, Bosbach B, Bienkowska J, Follettie M, Arndt K, Myers J, Zhong W. PINCER: improved CRISPR/Cas9 screening by efficient cleavage at conserved residues. Nucleic Acids Res 2020; 48:9462-9477. [PMID: 32821942 PMCID: PMC7515706 DOI: 10.1093/nar/gkaa645] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/21/2020] [Accepted: 07/23/2020] [Indexed: 12/26/2022] Open
Abstract
CRISPR/Cas9 functional genomic screens have emerged as essential tools in drug target discovery. However, the sensitivity of available genome-wide CRISPR libraries is impaired by guides which inefficiently abrogate gene function. While Cas9 cleavage efficiency optimization and essential domain targeting have been developed as independent guide design rationales, no library has yet combined these into a single cohesive strategy to knock out gene function. Here, in a massive reanalysis of CRISPR tiling data using the most comprehensive feature database assembled, we determine which features of guides and their targets best predict activity and how to best combine them into a single guide design algorithm. We present the ProteIN ConsERvation (PINCER) genome-wide CRISPR library, which for the first time combines enzymatic efficiency optimization with conserved length protein region targeting, and also incorporates domains, coding sequence position, U6 termination (TTT), restriction sites, polymorphisms and specificity. Finally, we demonstrate superior performance of the PINCER library compared to alternative genome-wide CRISPR libraries in head-to-head validation. PINCER is available for individual gene knockout and genome-wide screening for both the human and mouse genomes.
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Affiliation(s)
- Brendan Veeneman
- Oncology Research and Development, Pfizer Worldwide Research, Development and Medical, Pearl River, NY 10965, USA
| | - Ying Gao
- Oncology Research and Development, Pfizer Worldwide Research, Development and Medical, Pearl River, NY 10965, USA
| | - Joy Grant
- Oncology Research and Development, Pfizer Worldwide Research, Development and Medical, Pearl River, NY 10965, USA
| | - David Fruhling
- Oncology Research and Development, Pfizer Worldwide Research, Development and Medical, Pearl River, NY 10965, USA
| | - James Ahn
- Oncology Research and Development, Pfizer Worldwide Research, Development and Medical, Pearl River, NY 10965, USA
| | - Benedikt Bosbach
- Emerging Sciences & Innovation, Pfizer Worldwide Research, Development and Medical, New York, NY 10016, USA
| | - Jadwiga Bienkowska
- Oncology Research and Development, Pfizer Worldwide Research, Development and Medical, San Diego, CA 92121, USA
| | - Maximillian Follettie
- Oncology Research and Development, Pfizer Worldwide Research, Development and Medical, Pearl River, NY 10965, USA
| | - Kim Arndt
- Oncology Research and Development, Pfizer Worldwide Research, Development and Medical, Pearl River, NY 10965, USA
| | - Jeremy Myers
- Oncology Research and Development, Pfizer Worldwide Research, Development and Medical, Pearl River, NY 10965, USA
| | - Wenyan Zhong
- Oncology Research and Development, Pfizer Worldwide Research, Development and Medical, Pearl River, NY 10965, USA
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Yorukoglu D, Yu YW, Peng J, Berger B. Compressive mapping for next-generation sequencing. Nat Biotechnol 2016; 34:374-6. [PMID: 27054987 PMCID: PMC5080835 DOI: 10.1038/nbt.3511] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Deniz Yorukoglu
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Yun William Yu
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
- Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Jian Peng
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
- Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
- Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois, 61801, USA
| | - Bonnie Berger
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
- Department of Mathematics, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
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Andrade H, Area I, Nieto JJ, Torres A. The number of reduced alignments between two DNA sequences. BMC Bioinformatics 2014; 15:94. [PMID: 24684679 PMCID: PMC3977907 DOI: 10.1186/1471-2105-15-94] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2014] [Accepted: 03/19/2014] [Indexed: 11/28/2022] Open
Abstract
Background In this study we consider DNA sequences as mathematical strings. Total and reduced alignments between two DNA sequences have been considered in the literature to measure their similarity. Results for explicit representations of some alignments have been already obtained. Results We present exact, explicit and computable formulas for the number of different possible alignments between two DNA sequences and a new formula for a class of reduced alignments. Conclusions A unified approach for a wide class of alignments between two DNA sequences has been provided. The formula is computable and, if complemented by software development, will provide a deeper insight into the theory of sequence alignment and give rise to new comparison methods. AMS Subject Classification Primary 92B05, 33C20, secondary 39A14, 65Q30
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Affiliation(s)
| | | | - Juan J Nieto
- Departamento de Análise Matemática, Facultade de Matemáticas, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain.
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