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Liu S, Yu YP, Ren BG, Ben-Yehezkel T, Obert C, Smith M, Wang W, Ostrowska A, Soto-Gutierrez A, Luo JH. Long-read single-cell sequencing reveals expressions of hypermutation clusters of isoforms in human liver cancer cells. eLife 2024; 12:RP87607. [PMID: 38206124 PMCID: PMC10945587 DOI: 10.7554/elife.87607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2024] Open
Abstract
The protein diversity of mammalian cells is determined by arrays of isoforms from genes. Genetic mutation is essential in species evolution and cancer development. Accurate long-read transcriptome sequencing at single-cell level is required to decipher the spectrum of protein expressions in mammalian organisms. In this report, we developed a synthetic long-read single-cell sequencing technology based on LOOPSeq technique. We applied this technology to analyze 447 transcriptomes of hepatocellular carcinoma (HCC) and benign liver from an individual. Through Uniform Manifold Approximation and Projection analysis, we identified a panel of mutation mRNA isoforms highly specific to HCC cells. The evolution pathways that led to the hyper-mutation clusters in single human leukocyte antigen molecules were identified. Novel fusion transcripts were detected. The combination of gene expressions, fusion gene transcripts, and mutation gene expressions significantly improved the classification of liver cancer cells versus benign hepatocytes. In conclusion, LOOPSeq single-cell technology may hold promise to provide a new level of precision analysis on the mammalian transcriptome.
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Affiliation(s)
- Silvia Liu
- Department of Pathology, University of PittsburghPittsburghUnited States
- High Throughput Genome Center, University of PittsburghPittsburghUnited States
- Pittsburgh Liver Research Center, University of PittsburghPittsburghUnited States
| | - Yan-Ping Yu
- Department of Pathology, University of PittsburghPittsburghUnited States
- High Throughput Genome Center, University of PittsburghPittsburghUnited States
- Pittsburgh Liver Research Center, University of PittsburghPittsburghUnited States
| | - Bao-Guo Ren
- Department of Pathology, University of PittsburghPittsburghUnited States
- High Throughput Genome Center, University of PittsburghPittsburghUnited States
- Pittsburgh Liver Research Center, University of PittsburghPittsburghUnited States
| | | | | | - Mat Smith
- Element Biosciences IncSan DiegoUnited States
| | - Wenjia Wang
- Biostatistics, University of PittsburghPittsburghUnited States
| | - Alina Ostrowska
- Department of Pathology, University of PittsburghPittsburghUnited States
- Pittsburgh Liver Research Center, University of PittsburghPittsburghUnited States
| | - Alejandro Soto-Gutierrez
- Department of Pathology, University of PittsburghPittsburghUnited States
- Pittsburgh Liver Research Center, University of PittsburghPittsburghUnited States
| | - Jian-Hua Luo
- Department of Pathology, University of PittsburghPittsburghUnited States
- High Throughput Genome Center, University of PittsburghPittsburghUnited States
- Pittsburgh Liver Research Center, University of PittsburghPittsburghUnited States
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Liu S, Yu YP, Ren BG, Ben-Yehezkel T, Obert C, Smith M, Wang W, Ostrowska A, Soto-Gutierrez A, Luo JH. Long-read single-cell sequencing reveals expressions of hypermutation clusters of isoforms in human liver cancer cells. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.16.532991. [PMID: 36993628 PMCID: PMC10055174 DOI: 10.1101/2023.03.16.532991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
The protein diversity of mammalian cells is determined by arrays of isoforms from genes. Genetic mutation is essential in species evolution and cancer development. Accurate Long-read transcriptome sequencing at single-cell level is required to decipher the spectrum of protein expressions in mammalian organisms. In this report, we developed a synthetic long-read single-cell sequencing technology based on LOOPseq technique. We applied this technology to analyze 447 transcriptomes of hepatocellular carcinoma (HCC) and benign liver from an individual. Through Uniform Manifold Approximation and Projection (UMAP) analysis, we identified a panel of mutation mRNA isoforms highly specific to HCC cells. The evolution pathways that led to the hyper-mutation clusters in single human leukocyte antigen (HLA) molecules were identified. Novel fusion transcripts were detected. The combination of gene expressions, fusion gene transcripts, and mutation gene expressions significantly improved the classification of liver cancer cells versus benign hepatocytes. In conclusion, LOOPseq single-cell technology may hold promise to provide a new level of precision analysis on the mammalian transcriptome.
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Affiliation(s)
- Silvia Liu
- Department of Pathology, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
- High Throughput Genome Center, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
- Pittsburgh Liver Research Center, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
| | - Yan-Ping Yu
- Department of Pathology, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
- High Throughput Genome Center, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
- Pittsburgh Liver Research Center, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
| | - Bao-Guo Ren
- Department of Pathology, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
- High Throughput Genome Center, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
- Pittsburgh Liver Research Center, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
| | - Tuval Ben-Yehezkel
- Element Biosciences, Inc, 10055 Barnes Canyon Road, Suite 100, San Diego, CA 92121
| | - Caroline Obert
- Element Biosciences, Inc, 10055 Barnes Canyon Road, Suite 100, San Diego, CA 92121
| | - Mat Smith
- Element Biosciences, Inc, 10055 Barnes Canyon Road, Suite 100, San Diego, CA 92121
| | - Wenjia Wang
- Biostatistics, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
| | - Alina Ostrowska
- Department of Pathology, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
- Pittsburgh Liver Research Center, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
| | - Alejandro Soto-Gutierrez
- Department of Pathology, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
- Pittsburgh Liver Research Center, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
| | - Jian-Hua Luo
- Department of Pathology, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
- High Throughput Genome Center, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
- Pittsburgh Liver Research Center, University of Pittsburgh, 3550 Terrace Street, Pittsburgh, PA 15261
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Ahn WS, Kim TS, Park YJ, Park YK, Kim HD, Kim J. Production, characterization, and epitope mapping of monoclonal antibodies of ribosomal protein S3 (rpS3). Anim Cells Syst (Seoul) 2021; 25:323-336. [PMID: 34745438 PMCID: PMC8567880 DOI: 10.1080/19768354.2021.1980100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Ribosomal protein S3 (rpS3), a member of 40S small ribosomal subunit, is a multifunctional protein with various extra-ribosomal functions including DNA repair endonuclease activity and is secreted from cancer cells. Therefore, antibodies with high specificity against rpS3 protein could be useful cancer biomarkers. In this study, polyclonal antibody (pAb) and monoclonal antibodies (mAbs) were raised against rpS3 protein and epitope mapping was performed for each antibody; the amino acid residues of rpS3 were scanned from amino acid 185 to 243 through peptide scanning to reveal the epitopes of each mAb. Results showed that pAb R2 has an epitope from amino acid 203 to 230, mAb M7 has an epitope from amino acid 213 to 221, and mAb M8 has an epitope from amino acid 197 to 219. Taken together, novel mAbs and pAb against rpS3 were raised and mapped against rpS3 with different specific epitopes.
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Affiliation(s)
- Woo-Sung Ahn
- Laboratory of Biochemistry, Division of Life Sciences, Korea University, Seoul, Republic of Korea
| | - Tae-Sung Kim
- Laboratory of Biochemistry, Division of Life Sciences, Korea University, Seoul, Republic of Korea
| | - Yong Jun Park
- Laboratory of Biochemistry, Division of Life Sciences, Korea University, Seoul, Republic of Korea
| | - Young Kwang Park
- Laboratory of Biochemistry, Division of Life Sciences, Korea University, Seoul, Republic of Korea
| | - Hag Dong Kim
- HAEL Lab, Korea University, Seoul, Republic of Korea
| | - Joon Kim
- Laboratory of Biochemistry, Division of Life Sciences, Korea University, Seoul, Republic of Korea.,HAEL Lab, Korea University, Seoul, Republic of Korea
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