1
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Zhang C, Fang Y, Chen W, Chen Z, Zhang Y, Xie Y, Chen W, Xie Z, Guo M, Wang J, Tan C, Wang H, Tang C. Improving the RNA velocity approach with single-cell RNA lifecycle (nascent, mature and degrading RNAs) sequencing technologies. Nucleic Acids Res 2023; 51:e112. [PMID: 37941145 PMCID: PMC10711548 DOI: 10.1093/nar/gkad969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 09/27/2023] [Accepted: 10/14/2023] [Indexed: 11/10/2023] Open
Abstract
We presented an experimental method called FLOUR-seq, which combines BD Rhapsody and nanopore sequencing to detect the RNA lifecycle (including nascent, mature, and degrading RNAs) in cells. Additionally, we updated our HIT-scISOseq V2 to discover a more accurate RNA lifecycle using 10x Chromium and Pacbio sequencing. Most importantly, to explore how single-cell full-length RNA sequencing technologies could help improve the RNA velocity approach, we introduced a new algorithm called 'Region Velocity' to more accurately configure cellular RNA velocity. We applied this algorithm to study spermiogenesis and compared the performance of FLOUR-seq with Pacbio-based HIT-scISOseq V2. Our findings demonstrated that 'Region Velocity' is more suitable for analyzing single-cell full-length RNA data than traditional RNA velocity approaches. These novel methods could be useful for researchers looking to discover full-length RNAs in single cells and comprehensively monitor RNA lifecycle in cells.
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Affiliation(s)
| | | | - Weitian Chen
- BGI, Shenzhen 518000, China
- BGI Education Center, University of Chinese Academy of Sciences, Shenzhen 518083, China
| | | | - Ying Zhang
- Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China; NHC Key Laboratory of Male Reproduction and Genetics, Guangzhou, China
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2
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Deng DZQ, Verhage J, Neudorf C, Corbett-Detig R, Mekonen H, Castaldi PJ, Vollmers C. R2C2+UMI: Combining concatemeric consensus sequencing with unique molecular identifiers enables ultra-accurate sequencing of amplicons on Oxford Nanopore Technologies sequencers. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.19.553937. [PMID: 37662385 PMCID: PMC10473586 DOI: 10.1101/2023.08.19.553937] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
The sequencing of PCR amplicons is a core application of high-throughput sequencing technology. Using unique molecular identifiers (UMIs), individual amplified molecules can be sequenced to very high accuracy on an Illumina sequencer. However, Illumina sequencers have limited read length and are therefore restricted to sequencing amplicons shorter than 600bp unless using inefficient synthetic long-read approaches. Native long-read sequencers from Pacific Biosciences and Oxford Nanopore Technologies can, using consensus read approaches, match or exceed Illumina quality while achieving much longer read lengths. Using a circularization-based concatemeric consensus sequencing approach (R2C2) paired with UMIs (R2C2+UMI) we show that we can sequence ~550nt antibody heavy-chain (IGH) and ~1500nt 16S amplicons at accuracies up to and exceeding Q50 (<1 error in 100,0000 sequenced bases), which exceeds accuracies of UMI-supported Illumina paired sequencing as well as synthetic long-read approaches.
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Affiliation(s)
- Dori Z Q Deng
- Department of Molecular, Cellular, and Developmental Biology, University of California Santa Cruz, Santa Cruz, California, USA
| | - Jack Verhage
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA
| | - Celine Neudorf
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA
| | - Russell Corbett-Detig
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA
| | - Honey Mekonen
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA
- Current address: Chan Zuckerberg Biohub, San Francisco, CA, USA
| | - Peter J Castaldi
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA,USA
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA
| | - Christopher Vollmers
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California, USA
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3
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Song C, Pan W, Brown B, Tang C, Huang Y, Chen H, Peng N, Wang Z, Weber D, Byrne-Steele M, Wu H, Liu H, Deng Y, He N, Li S. Immune repertoire analysis of normal Chinese donors at different ages. Cell Prolif 2022; 55:e13311. [PMID: 35929064 DOI: 10.1111/cpr.13311] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/21/2022] [Accepted: 06/24/2022] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVES This study investigated the characteristics of the immune repertoire in normal Chinese individuals of different ages. MATERIALS AND METHODS In this study, all seven receptor chains from both B and T cells in peripheral blood of 16 normal Chinese individuals from two age groups were analyzed using high-throughput sequencing and dimer-avoided multiplex PCR amplification. Normal in this study is defined as no chronic, infectious or autoimmune disease within 6 months prior to blood draw. RESULTS We found that compared with the younger group, the clonal expression of T-cell receptor repertoire increased in the older group, while diversity decreased. In addition, we found that the T-cell receptor repertoire was more significantly affected by age than the B-cell receptor repertoire, including significant differences in the use of the unique TCR-alpha and TCR-beta V-J gene combinations, in the two groups of normal participants. We further analyzed the degree of complementarity determining region 3 sequence sharing between the two groups, and found shared TCR-alpha, TCR-gamma, immunoglobulin-kappa and immunoglobulin-lambda chain complementarity determining region 3 sequences in all subjects. CONCLUSION Taken together, our study gives us a better understanding of the immune repertoire of different normal Chinese people, and these results can be applied to the treatment of age-related diseases. Immune repertoire analysis also allows us to observe participant's wellness, aiding in early-stage diagnosis.
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Affiliation(s)
- Cailing Song
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Wenjing Pan
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China.,Nanjing ARP Biotechnology Co., Ltd., Nanjing, China
| | | | - Congli Tang
- Nanjing ARP Biotechnology Co., Ltd., Nanjing, China
| | - Yunqi Huang
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Houao Chen
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Nan Peng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Zhe Wang
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China.,Guangdong Provincial Hospital of Chinese Medicine & Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China
| | | | | | - Haijing Wu
- Department of Dermatology, Second Xiangya Hospital, Hunan Key Laboratory of Medical Epigenomics, Central South University, Changsha, China
| | - Hongna Liu
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China.,Nanjing ARP Biotechnology Co., Ltd., Nanjing, China
| | - Yan Deng
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Nongyue He
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
| | - Song Li
- Hunan Key Laboratory of Biomedical Nanomaterials and Devices, Hunan University of Technology, Zhuzhou, China
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4
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Access to ultra-long IgG CDRH3 bovine antibody sequences using short read sequencing technology. Mol Immunol 2021; 139:97-105. [PMID: 34464839 PMCID: PMC8508064 DOI: 10.1016/j.molimm.2021.08.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 08/23/2021] [Accepted: 08/24/2021] [Indexed: 12/23/2022]
Abstract
The advances in high-throughput DNA sequencing and recombinant antibody technologies has presented new methods for characterizing antibody repertoires and significantly increased our understanding on the functional role of antibodies in immunity and their use in diagnostics, vaccine antigen design and as biological therapeutics. A subset of Bos taurus antibodies possesses unique ultra-long third complementary-determining region of the heavy chain (CDRH3) and are of special interest because they are thought to have unique functional abilities of broadly neutralizing properties - a functional role that has not been fully explored in vaccine development. Next generation sequencing technologies that are widely used to profile immunoglobulin (Ig) repertoires are based on short-read methods such as the Illumina technology. Although this technology has worked well in sequencing Ig V-D-J regions of most jawed vertebrates, it has faced serious technical challenges with sequencing regions in bovine Ig bearing ultra-long CDRH3 sequences, which are longer than 120 bp. To overcome this limitation, we have developed a sequencing strategy based on nested PCR products that allows sequence assembly of full-length bovine Ig heavy-chain (IgH) V-D-J regions. We have used this strategy to sequence IgH V-D-J regions of two Bos indicus breeds, Ankole and Boran. We confirm the presence of ultra-long CDRH3 sequences in IgG transcripts in both African cattle breeds, and provide preliminary evidence for differences and preferences in germline VH, DH and JH allele gene usage as well as differences in the length of the VH region in the two bovine breeds. Our method provides tools that should allow more robust analyses of ultra-long CDRH3 sequences aiding antibody and epitope discovery in different cattle breeds and their role in mediating immunity.
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5
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Large-scale analysis of 2,152 Ig-seq datasets reveals key features of B cell biology and the antibody repertoire. Cell Rep 2021; 35:109110. [PMID: 33979623 DOI: 10.1016/j.celrep.2021.109110] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 03/09/2021] [Accepted: 04/20/2021] [Indexed: 12/20/2022] Open
Abstract
Antibody repertoire sequencing enables researchers to acquire millions of B cell receptors and investigate these molecules at the single-nucleotide level. This power and resolution in studying humoral responses have led to its wide applications. However, most of these studies were conducted with a limited number of samples. Given the extraordinary diversity, assessment of these key features with a large sample set is demanded. Thus, we collect and systematically analyze 2,152 high-quality heavy-chain antibody repertoires. Our study reveals that 52 core variable genes universally contribute to more than 99% of each individual's repertoire; a distal interspersed preferences characterize V gene recombination; the number of public clones between two repertoires follows a linear model, and the positive selection dominates at RGYW motif in somatic hypermutations. Thus, this population-level analysis resolves some critical features of the antibody repertoire and may have significant value to the large cadre of scientists.
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6
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Qi H, Ma M, Lai D, Tao SC. Phage display: an ideal platform for coupling protein to nucleic acid. Acta Biochim Biophys Sin (Shanghai) 2021; 53:389-399. [PMID: 33537750 DOI: 10.1093/abbs/gmab006] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2020] [Indexed: 01/07/2023] Open
Abstract
Display technology, especially phage display technology, has been widely applied in many fields. The theoretical core of display technology is the physical linkage between the protein/peptide on the surface of a phage and the coding DNA sequence inside the same phage. Starting from phage-displayed peptide/protein/antibody libraries and taking advantage of the ever-growing power of next-generation sequencing (NGS) for DNA sequencing/decoding, rich protein-related information can easily be obtained in a high-throughput way. Based on this information, many scientific and clinical questions can be readily addressed. In the past few years, aided by the development of NGS, droplet technology, and massive oligonucleotide synthesis, we have witnessed and continue to witness large advances of phage display technology, in both technology development and application. The aim of this review is to summarize and discuss these recent advances.
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Affiliation(s)
- Huan Qi
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200240, China
| | - Mingliang Ma
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200240, China
| | - Danyun Lai
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200240, China
| | - Sheng-ce Tao
- Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai 200240, China
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7
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Complete characterization of the human immune cell transcriptome using accurate full-length cDNA sequencing. Genome Res 2020; 30:589-601. [PMID: 32312742 PMCID: PMC7197476 DOI: 10.1101/gr.257188.119] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Accepted: 04/03/2020] [Indexed: 01/06/2023]
Abstract
The human immune system relies on highly complex and diverse transcripts and the proteins they encode. These include transcripts encoding human leukocyte antigen (HLA) receptors as well as B cell and T cell receptors (BCR and TCR). Determining which alleles an individual possesses for each HLA gene (high-resolution HLA typing) is essential to establish donor–recipient compatibility in organ and bone marrow transplantations. In turn, the repertoires of millions of unique BCR and TCR transcripts in each individual carry a vast amount of health-relevant information. Both short-read RNA-seq-based HLA typing and BCR/TCR repertoire sequencing (AIRR-seq) currently rely on our incomplete knowledge of the genetic diversity at HLA and BCR/TCR loci. Here, we generated over 10,000,000 full-length cDNA sequences at a median accuracy of 97.9% using our nanopore sequencing-based Rolling Circle Amplification to Concatemeric Consensus (R2C2) protocol. We used this data set to (1) show that deep and accurate full-length cDNA sequencing can be used to provide isoform-level transcriptome analysis for more than 9000 loci, (2) generate accurate sequences of HLA alleles, and (3) extract detailed AIRR data for the analysis of the adaptive immune system. The HLA and AIRR analysis approaches we introduce here are untargeted and therefore do not require prior knowledge of the composition or genetic diversity of HLA and BCR/TCR loci.
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8
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Callahan BJ, Wong J, Heiner C, Oh S, Theriot CM, Gulati AS, McGill SK, Dougherty MK. High-throughput amplicon sequencing of the full-length 16S rRNA gene with single-nucleotide resolution. Nucleic Acids Res 2019; 47:e103. [PMID: 31269198 PMCID: PMC6765137 DOI: 10.1093/nar/gkz569] [Citation(s) in RCA: 282] [Impact Index Per Article: 56.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 06/08/2019] [Accepted: 06/20/2019] [Indexed: 12/24/2022] Open
Abstract
Targeted PCR amplification and high-throughput sequencing (amplicon sequencing) of 16S rRNA gene fragments is widely used to profile microbial communities. New long-read sequencing technologies can sequence the entire 16S rRNA gene, but higher error rates have limited their attractiveness when accuracy is important. Here we present a high-throughput amplicon sequencing methodology based on PacBio circular consensus sequencing and the DADA2 sample inference method that measures the full-length 16S rRNA gene with single-nucleotide resolution and a near-zero error rate. In two artificial communities of known composition, our method recovered the full complement of full-length 16S sequence variants from expected community members without residual errors. The measured abundances of intra-genomic sequence variants were in the integral ratios expected from the genuine allelic variants within a genome. The full-length 16S gene sequences recovered by our approach allowed Escherichia coli strains to be correctly classified to the O157:H7 and K12 sub-species clades. In human fecal samples, our method showed strong technical replication and was able to recover the full complement of 16S rRNA alleles in several E. coli strains. There are likely many applications beyond microbial profiling for which high-throughput amplicon sequencing of complete genes with single-nucleotide resolution will be of use.
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Affiliation(s)
- Benjamin J Callahan
- Department of Population Health & Pathobiology, North Carolina State University, Raleigh, NC 27607, USA.,Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27695, USA
| | - Joan Wong
- Pacific Biosciences of California, Inc., Menlo Park, CA 94025, USA
| | - Cheryl Heiner
- Pacific Biosciences of California, Inc., Menlo Park, CA 94025, USA
| | - Steve Oh
- Pacific Biosciences of California, Inc., Menlo Park, CA 94025, USA
| | - Casey M Theriot
- Department of Population Health & Pathobiology, North Carolina State University, Raleigh, NC 27607, USA
| | - Ajay S Gulati
- Center for Gastrointestinal Biology and Disease, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.,Department of Pediatrics, Division of Gastroenterology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.,Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Sarah K McGill
- Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Michael K Dougherty
- Department of Medicine, Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
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9
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Minervina A, Pogorelyy M, Mamedov I. T‐cell receptor and B‐cell receptor repertoire profiling in adaptive immunity. Transpl Int 2019; 32:1111-1123. [DOI: 10.1111/tri.13475] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Revised: 05/09/2019] [Accepted: 06/25/2019] [Indexed: 12/24/2022]
Affiliation(s)
- Anastasia Minervina
- Department of Genomics of Adaptive Immunity M M Shemyakin and Yu A Ovchinnikov Institute of Bioorganic Chemistry RAS Moscow Russia
| | - Mikhail Pogorelyy
- Department of Genomics of Adaptive Immunity M M Shemyakin and Yu A Ovchinnikov Institute of Bioorganic Chemistry RAS Moscow Russia
- Institute of Translational Medicine Pirogov Russian National Research Medical University Moscow Russia
| | - Ilgar Mamedov
- Department of Genomics of Adaptive Immunity M M Shemyakin and Yu A Ovchinnikov Institute of Bioorganic Chemistry RAS Moscow Russia
- Institute of Translational Medicine Pirogov Russian National Research Medical University Moscow Russia
- Laboratory of Molecular Biology Rogachev Federal Scientific and Clinical Centre of Pediatric Hematology Oncology and Immunology Moscow Russia
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10
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Rettig TA, Pecaut MJ, Chapes SK. A comparison of unamplified and massively multiplexed PCR amplification for murine antibody repertoire sequencing. FASEB Bioadv 2019; 1:6-17. [PMID: 32123808 PMCID: PMC6996338 DOI: 10.1096/fba.1017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 08/09/2018] [Accepted: 08/17/2018] [Indexed: 11/26/2022] Open
Abstract
Sequencing antibody repertoires has steadily become cheaper and easier. Sequencing methods usually rely on some form of amplification, often a massively multiplexed PCR prior to sequencing. To eliminate potential biases and create a data set that could be used for other studies, our laboratory compared unamplified sequencing results from the splenic heavy-chain repertoire in the mouse to those processed through two commercial applications. We also compared the use of mRNA vs total RNA, reverse transcriptase, and primer usage for cDNA synthesis and submission. The use of mRNA for cDNA synthesis resulted in higher read counts but reverse transcriptase and primer usage had no statistical effects on read count. Although most of the amplified data sets contained more antibody reads than the unamplified data set, we detected more unique variable (V)-gene segments in the unamplified data set. Although unique CDR3 detection was much lower in the unamplified data set, RNASeq detected 98% of the high-frequency CDR3s. We have shown that unamplified profiling of the antibody repertoire is possible, detects more V-gene segments, and detects high-frequency clones in the repertoire.
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Affiliation(s)
| | - Michael J. Pecaut
- Division of Biomedical Engineering Sciences (BMES)Loma Linda UniversityLoma LindaCalifornia
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11
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Friedensohn S, Lindner JM, Cornacchione V, Iazeolla M, Miho E, Zingg A, Meng S, Traggiai E, Reddy ST. Synthetic Standards Combined With Error and Bias Correction Improve the Accuracy and Quantitative Resolution of Antibody Repertoire Sequencing in Human Naïve and Memory B Cells. Front Immunol 2018; 9:1401. [PMID: 29973938 PMCID: PMC6019461 DOI: 10.3389/fimmu.2018.01401] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 06/06/2018] [Indexed: 11/13/2022] Open
Abstract
High-throughput sequencing of immunoglobulin (Ig) repertoires (Ig-seq) is a powerful method for quantitatively interrogating B cell receptor sequence diversity. When applied to human repertoires, Ig-seq provides insight into fundamental immunological questions, and can be implemented in diagnostic and drug discovery projects. However, a major challenge in Ig-seq is ensuring accuracy, as library preparation protocols and sequencing platforms can introduce substantial errors and bias that compromise immunological interpretation. Here, we have established an approach for performing highly accurate human Ig-seq by combining synthetic standards with a comprehensive error and bias correction pipeline. First, we designed a set of 85 synthetic antibody heavy-chain standards (in vitro transcribed RNA) to assess correction workflow fidelity. Next, we adapted a library preparation protocol that incorporates unique molecular identifiers (UIDs) for error and bias correction which, when applied to the synthetic standards, resulted in highly accurate data. Finally, we performed Ig-seq on purified human circulating B cell subsets (naïve and memory), combined with a cellular replicate sampling strategy. This strategy enabled robust and reliable estimation of key repertoire features such as clonotype diversity, germline segment, and isotype subclass usage, and somatic hypermutation. We anticipate that our standards and error and bias correction pipeline will become a valuable tool for researchers to validate and improve accuracy in human Ig-seq studies, thus leading to potentially new insights and applications in human antibody repertoire profiling.
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Affiliation(s)
- Simon Friedensohn
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - John M Lindner
- Novartis Institutes for BioMedical Research, Basel, Switzerland
| | | | | | - Enkelejda Miho
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Andreas Zingg
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Simon Meng
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | | | - Sai T Reddy
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
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12
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Nichols RV, Vollmers C, Newsom LA, Wang Y, Heintzman PD, Leighton M, Green RE, Shapiro B. Minimizing polymerase biases in metabarcoding. Mol Ecol Resour 2018; 18:927-939. [PMID: 29797549 DOI: 10.1111/1755-0998.12895] [Citation(s) in RCA: 113] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 02/12/2018] [Accepted: 03/01/2018] [Indexed: 01/24/2023]
Abstract
DNA metabarcoding is an increasingly popular method to characterize and quantify biodiversity in environmental samples. Metabarcoding approaches simultaneously amplify a short, variable genomic region, or "barcode," from a broad taxonomic group via the polymerase chain reaction (PCR), using universal primers that anneal to flanking conserved regions. Results of these experiments are reported as occurrence data, which provide a list of taxa amplified from the sample, or relative abundance data, which measure the relative contribution of each taxon to the overall composition of amplified product. The accuracy of both occurrence and relative abundance estimates can be affected by a variety of biological and technical biases. For example, taxa with larger biomass may be better represented in environmental samples than those with smaller biomass. Here, we explore how polymerase choice, a potential source of technical bias, might influence results in metabarcoding experiments. We compared potential biases of six commercially available polymerases using a combination of mixtures of amplifiable synthetic sequences and real sedimentary DNA extracts. We find that polymerase choice can affect both occurrence and relative abundance estimates and that the main source of this bias appears to be polymerase preference for sequences with specific GC contents. We further recommend an experimental approach for metabarcoding based on results of our synthetic experiments.
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Affiliation(s)
- Ruth V Nichols
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, California
| | - Christopher Vollmers
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California
| | - Lee A Newsom
- Department of Social Sciences, Flagler College, St. Augustine, Florida
| | - Yue Wang
- Department of Geography, University of Wisconsin-Madison, Madison, Wisconsin
| | - Peter D Heintzman
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, California
- Tromsø University Museum, UiT - The Arctic University of Norway, Tromsø, Norway
| | - McKenna Leighton
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California
| | - Richard E Green
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, California
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, California
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13
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Abstract
Somatic assembly of T cell receptor and B cell receptor (BCR) genes produces a vast diversity of lymphocyte antigen recognition capacity. The advent of efficient high-throughput sequencing of lymphocyte antigen receptor genes has recently generated unprecedented opportunities for exploration of adaptive immune responses. With these opportunities have come significant challenges in understanding the analysis techniques that most accurately reflect underlying biological phenomena. In this regard, sample preparation and sequence analysis techniques, which have largely been borrowed and adapted from other fields, continue to evolve. Here, we review current methods and challenges of library preparation, sequencing and statistical analysis of lymphocyte receptor repertoire studies. We discuss the general steps in the process of immune repertoire generation including sample preparation, platforms available for sequencing, processing of sequencing data, measurable features of the immune repertoire, and the statistical tools that can be used for analysis and interpretation of the data. Because BCR analysis harbors additional complexities, such as immunoglobulin (Ig) (i.e., antibody) gene somatic hypermutation and class switch recombination, the emphasis of this review is on Ig/BCR sequence analysis.
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Affiliation(s)
- Neha Chaudhary
- Division of Rheumatology, Department of Medicine, Immunology and Allergy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Duane R. Wesemann
- Division of Rheumatology, Department of Medicine, Immunology and Allergy, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
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14
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Kovaltsuk A, Krawczyk K, Galson JD, Kelly DF, Deane CM, Trück J. How B-Cell Receptor Repertoire Sequencing Can Be Enriched with Structural Antibody Data. Front Immunol 2017; 8:1753. [PMID: 29276518 PMCID: PMC5727015 DOI: 10.3389/fimmu.2017.01753] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 11/27/2017] [Indexed: 12/24/2022] Open
Abstract
Next-generation sequencing of immunoglobulin gene repertoires (Ig-seq) allows the investigation of large-scale antibody dynamics at a sequence level. However, structural information, a crucial descriptor of antibody binding capability, is not collected in Ig-seq protocols. Developing systematic relationships between the antibody sequence information gathered from Ig-seq and low-throughput techniques such as X-ray crystallography could radically improve our understanding of antibodies. The mapping of Ig-seq datasets to known antibody structures can indicate structurally, and perhaps functionally, uncharted areas. Furthermore, contrasting naïve and antigenically challenged datasets using structural antibody descriptors should provide insights into antibody maturation. As the number of antibody structures steadily increases and more and more Ig-seq datasets become available, the opportunities that arise from combining the two types of information increase as well. Here, we review how these data types enrich one another and show potential for advancing our knowledge of the immune system and improving antibody engineering.
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Affiliation(s)
| | - Konrad Krawczyk
- Department of Statistics, University of Oxford, Oxford, United Kingdom
| | - Jacob D Galson
- Division of Immunology and the Children's Research Center, University Children's Hospital, University of Zürich, Zürich, Switzerland
| | - Dominic F Kelly
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford and the NIHR Oxford Biomedical Research Center, Oxford, United Kingdom
| | - Charlotte M Deane
- Department of Statistics, University of Oxford, Oxford, United Kingdom
| | - Johannes Trück
- Division of Immunology and the Children's Research Center, University Children's Hospital, University of Zürich, Zürich, Switzerland
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15
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Shlemov A, Bankevich S, Bzikadze A, Turchaninova MA, Safonova Y, Pevzner PA. Reconstructing Antibody Repertoires from Error-Prone Immunosequencing Reads. THE JOURNAL OF IMMUNOLOGY 2017; 199:3369-3380. [PMID: 28978691 DOI: 10.4049/jimmunol.1700485] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 08/24/2017] [Indexed: 12/16/2022]
Abstract
Transforming error-prone immunosequencing datasets into Ab repertoires is a fundamental problem in immunogenomics, and a prerequisite for studies of immune responses. Although various repertoire reconstruction algorithms were released in the last 3 y, it remains unclear how to benchmark them and how to assess the accuracy of the reconstructed repertoires. We describe an accurate IgReC algorithm for constructing Ab repertoires from high-throughput immunosequencing datasets and a new framework for assessing the quality of reconstructed repertoires. Surprisingly, Ab repertoires constructed by IgReC from barcoded immunosequencing datasets in the blind mode (without using information about unique molecular identifiers) improved upon the repertoires constructed by the state-of-the-art tools that use barcoding. This finding suggests that IgReC may alleviate the need to generate repertoires using the barcoding technology (the workhorse of current immunogenomics efforts) because our computational approach to error correction of immunosequencing data is nearly as powerful as the experimental approach based on barcoding.
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Affiliation(s)
- Alexander Shlemov
- Center for Algorithmic Biotechnology, Institute for Translational Biomedicine, St. Petersburg University, St. Petersburg, Russia 199034
| | - Sergey Bankevich
- Center for Algorithmic Biotechnology, Institute for Translational Biomedicine, St. Petersburg University, St. Petersburg, Russia 199034
| | - Andrey Bzikadze
- Center for Algorithmic Biotechnology, Institute for Translational Biomedicine, St. Petersburg University, St. Petersburg, Russia 199034
| | - Maria A Turchaninova
- Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia 117997
| | - Yana Safonova
- Center for Algorithmic Biotechnology, Institute for Translational Biomedicine, St. Petersburg University, St. Petersburg, Russia 199034; .,Information Theory and Applications Center, University of California, San Diego, La Jolla, CA 92093; and
| | - Pavel A Pevzner
- Center for Algorithmic Biotechnology, Institute for Translational Biomedicine, St. Petersburg University, St. Petersburg, Russia 199034.,Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093
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16
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Vergani S, Korsunsky I, Mazzarello AN, Ferrer G, Chiorazzi N, Bagnara D. Novel Method for High-Throughput Full-Length IGHV-D-J Sequencing of the Immune Repertoire from Bulk B-Cells with Single-Cell Resolution. Front Immunol 2017; 8:1157. [PMID: 28959265 PMCID: PMC5603803 DOI: 10.3389/fimmu.2017.01157] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 09/01/2017] [Indexed: 11/13/2022] Open
Abstract
Efficient and accurate high-throughput DNA sequencing of the adaptive immune receptor repertoire (AIRR) is necessary to study immune diversity in healthy subjects and disease-related conditions. The high complexity and diversity of the AIRR coupled with the limited amount of starting material, which can compromise identification of the full biological diversity makes such sequencing particularly challenging. AIRR sequencing protocols often fail to fully capture the sampled AIRR diversity, especially for samples containing restricted numbers of B lymphocytes. Here, we describe a library preparation method for immunoglobulin sequencing that results in an exhaustive full-length repertoire where virtually every sampled B-cell is sequenced. This maximizes the likelihood of identifying and quantifying the entire IGHV-D-J repertoire of a sample, including the detection of rearrangements present in only one cell in the starting population. The methodology establishes the importance of circumventing genetic material dilution in the preamplification phases and incorporates the use of certain described concepts: (1) balancing the starting material amount and depth of sequencing, (2) avoiding IGHV gene-specific amplification, and (3) using Unique Molecular Identifier. Together, this methodology is highly efficient, in particular for detecting rare rearrangements in the sampled population and when only a limited amount of starting material is available.
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Affiliation(s)
- Stefano Vergani
- Karches Centre for Chronic Lymphocytic Leukemia Research, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, United States.,Hofstra-Northwell Health School of Medicine, Hempstead, NY, United States
| | - Ilya Korsunsky
- Robert S. Boas Center for Genomics & Human Genetics, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Andrea Nicola Mazzarello
- Karches Centre for Chronic Lymphocytic Leukemia Research, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Gerardo Ferrer
- Karches Centre for Chronic Lymphocytic Leukemia Research, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Nicholas Chiorazzi
- Karches Centre for Chronic Lymphocytic Leukemia Research, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, United States
| | - Davide Bagnara
- Karches Centre for Chronic Lymphocytic Leukemia Research, The Feinstein Institute for Medical Research, Northwell Health, Manhasset, NY, United States.,Department of Experimental Medicine, University of Genoa, Genoa, Italy
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17
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Adler AS, Mizrahi RA, Spindler MJ, Adams MS, Asensio MA, Edgar RC, Leong J, Leong R, Johnson DS. Rare, high-affinity mouse anti-PD-1 antibodies that function in checkpoint blockade, discovered using microfluidics and molecular genomics. MAbs 2017; 9:1270-1281. [PMID: 28846506 PMCID: PMC5680806 DOI: 10.1080/19420862.2017.1371386] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Conventionally, mouse hybridomas or well-plate screening are used to identify therapeutic monoclonal antibody candidates. In this study, we present an alternative to hybridoma-based discovery that combines microfluidics, yeast single-chain variable fragment (scFv) display, and deep sequencing to rapidly interrogate and screen mouse antibody repertoires. We used our approach on six wild-type mice to identify 269 molecules that bind to programmed cell death protein 1 (PD-1), which were present at an average of 1 in 2,000 in the pre-sort scFv libraries. Two rounds of fluorescence-activated cell sorting (FACS) produced populations of PD-1-binding scFv with a mean enrichment of 800-fold, whereas most scFv present in the pre-sort mouse repertoires were de-enriched. Therefore, our work suggests that most of the antibodies present in the repertoires of immunized mice are not strong binders to PD-1. We observed clusters of related antibody sequences in each mouse following FACS, suggesting evolution of clonal lineages. In the pre-sort repertoires, these putative clonal lineages varied in both the complementary-determining region (CDR)3K and CDR3H, while the FACS-selected PD-1-binding subsets varied primarily in the CDR3H. PD-1 binders were generally not highly diverged from germline, showing 98% identity on average with germline V-genes. Some CDR3 sequences were discovered in more than one animal, even across different mouse strains, suggesting convergent evolution. We synthesized 17 of the anti-PD-1 binders as full-length monoclonal antibodies. All 17 full-length antibodies bound recombinant PD-1 with KD < 500 nM (average = 62 nM). Fifteen of the 17 full-length antibodies specifically bound surface-expressed PD-1 in a FACS assay, and nine of the antibodies functioned as checkpoint inhibitors in a cellular assay. We conclude that our method is a viable alternative to hybridomas, with key advantages in comprehensiveness and turnaround time.
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Affiliation(s)
- Adam S Adler
- a GigaGen Inc. , 407 Cabot Road, South San Francisco , CA , USA
| | - Rena A Mizrahi
- a GigaGen Inc. , 407 Cabot Road, South San Francisco , CA , USA
| | | | - Matthew S Adams
- a GigaGen Inc. , 407 Cabot Road, South San Francisco , CA , USA
| | | | - Robert C Edgar
- a GigaGen Inc. , 407 Cabot Road, South San Francisco , CA , USA
| | - Jackson Leong
- a GigaGen Inc. , 407 Cabot Road, South San Francisco , CA , USA
| | - Renee Leong
- a GigaGen Inc. , 407 Cabot Road, South San Francisco , CA , USA
| | - David S Johnson
- a GigaGen Inc. , 407 Cabot Road, South San Francisco , CA , USA
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18
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Burkholder WF, Newell EW, Poidinger M, Chen S, Fink K. Deep Sequencing in Infectious Diseases: Immune and Pathogen Repertoires for the Improvement of Patient Outcomes. Front Immunol 2017; 8:593. [PMID: 28620372 PMCID: PMC5451494 DOI: 10.3389/fimmu.2017.00593] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Accepted: 05/04/2017] [Indexed: 12/17/2022] Open
Abstract
The inaugural workshop “Deep Sequencing in Infectious Diseases: Immune and Pathogen Repertoires for the Improvement of Patient Outcomes” was held in Singapore on 13–14 October 2016. The aim of the workshop was to discuss the latest trends in using high-throughput sequencing, bioinformatics, and allied technologies to analyze immune and pathogen repertoires and their interplay within the host, bringing together key international players in the field and Singapore-based researchers and clinician-scientists. The focus was in particular on the application of these technologies for the improvement of patient diagnosis, prognosis and treatment, and for other broad public health outcomes. The presentations by scientists and clinicians showed the potential of deep sequencing technology to capture the coevolution of adaptive immunity and pathogens. For clinical applications, some key challenges remain, such as the long turnaround time and relatively high cost of deep sequencing for pathogen identification and characterization and the lack of international standardization in immune repertoire analysis.
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Affiliation(s)
- William F Burkholder
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore
| | - Evan W Newell
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
| | - Michael Poidinger
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
| | - Swaine Chen
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Katja Fink
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
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19
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Liu XS, Mardis ER. Applications of Immunogenomics to Cancer. Cell 2017; 168:600-612. [PMID: 28187283 DOI: 10.1016/j.cell.2017.01.014] [Citation(s) in RCA: 149] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2016] [Revised: 01/10/2017] [Accepted: 01/10/2017] [Indexed: 01/05/2023]
Abstract
Cancer immunogenomics originally was framed by research supporting the hypothesis that cancer mutations generated novel peptides seen as "non-self" by the immune system. The search for these "neoantigens" has been facilitated by the combination of new sequencing technologies, specialized computational analyses, and HLA binding predictions that evaluate somatic alterations in a cancer genome and interpret their ability to produce an immune-stimulatory peptide. The resulting information can characterize a tumor's neoantigen load, its cadre of infiltrating immune cell types, the T or B cell receptor repertoire, and direct the design of a personalized therapeutic.
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Affiliation(s)
- X Shirley Liu
- Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Harvard T.H. Chan School of Public Health, 450 Brookline Ave, Boston MA 02215, USA.
| | - Elaine R Mardis
- Institute for Genomic Medicine, Nationwide Children's Hospital, and The Ohio State University College of Medicine, 575 Children's Crossroad, Columbus OH 43205, USA.
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20
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Jiang N. Immune engineering: from systems immunology to engineering immunity. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2017; 1:54-62. [PMID: 29038795 DOI: 10.1016/j.cobme.2017.03.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The smallpox vaccine represents the earliest attempt in engineering immunity. The recent success of chimeric antigen receptor T cells (CAR-T cells) in cancer once again demonstrates the clinical potential of immune engineering. Inspired by this success, diverse approaches have been used to boost various aspects of immunity: engineering dendritic cells (DCs), natural killer (NK) cells, T cells, antibodies, cytokines, small peptides, and others. With recent development of various high-throughput technologies (of which engineers, especially biomedical engineers/bioengineers contributed significantly), such as immune repertoire sequencing, and analytical methods, a systems level of understanding immunity (or the lack of it) beyond model animals has provided critical insights into the human immune system. This review focuses on recent progressed made in systems biology and the engineering of adaptive immunity.
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Affiliation(s)
- Ning Jiang
- Department of Biomedical engineering, Cockrell School of Engineering, University of Texas at Austin, Austin, TX 78712, USA.,Institute for Cellular and Molecular Biology, College of Natural Sciences, University of Texas at Austin, Austin, TX 78712, USA
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21
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Rykalina V, Shadrin A, Lehrach H, Borodina T. qPCR-based characterization of DNA fragmentation efficiency of Tn5 transposomes. Biol Methods Protoc 2017; 2:bpx001. [PMID: 32161784 PMCID: PMC6994069 DOI: 10.1093/biomethods/bpx001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 01/06/2017] [Accepted: 01/26/2017] [Indexed: 02/02/2023] Open
Abstract
Here, we describe an electrophoresis free assay for characterizing Tn5 transposomes fragmentation efficiency in a tagmentation reaction, in which double-stranded DNA is fragmented and tagged with adapter sequences. The assay uses plasmid DNA as a reference tagmentation substrate. Fragmentation efficiency is analyzed by comparative qPCR which measures the difference (ΔCt) in amplification of a specific plasmid region before and after tagmentation: more efficient fragmentation is characterized by a larger number of cleavage events within the amplified region, a delayed increase in the amplification curve and as a result, a larger ΔCt. Tagmentation reactions characterized with the same ΔCt exhibit the same fragment size distribution on an agarose gel. The ΔCt values measured can be used to quantitatively determine the relative performance of Tn5 transposome assemblies in optimization experiments and to standardize between batch variations in transposomes for use in next-generation sequencing library preparation. Moreover, the use of a reference tagmentation template added during next-generation sequencing library preparation enabled monitoring of the input DNA fragmentation. The presented qPCR-based assay is quick, contamination-safe, high-throughput and cost-efficient.
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Affiliation(s)
- Vera Rykalina
- Alacris Theranostics GmbH, Berlin 14195, Germany.,Department of Biology, Chemistry and Pharmacy, Free University of Berlin, Berlin 14195, Germany; and.,Vertebrate Genomics Emeritus Group, Max-Planck Institute for Molecular Genetics, Berlin 14195, Germany
| | | | - Hans Lehrach
- Alacris Theranostics GmbH, Berlin 14195, Germany.,Vertebrate Genomics Emeritus Group, Max-Planck Institute for Molecular Genetics, Berlin 14195, Germany
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22
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Friedensohn S, Khan TA, Reddy ST. Advanced Methodologies in High-Throughput Sequencing of Immune Repertoires. Trends Biotechnol 2016; 35:203-214. [PMID: 28341036 DOI: 10.1016/j.tibtech.2016.09.010] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Revised: 09/19/2016] [Accepted: 09/30/2016] [Indexed: 11/19/2022]
Abstract
In recent years, major efforts have been made to develop sophisticated experimental and bioinformatic workflows for sequencing adaptive immune repertoires. The immunological insight gained has been applied to fields as varied as lymphocyte biology, immunodiagnostics, vaccines, cancer immunotherapy, and antibody engineering. In this review, we provide a detailed overview of these advanced methodologies, focusing specifically on strategies to reduce sequencing errors and bias and to achieve high-throughput pairing of variable regions (e.g., heavy-light or alpha-beta chains). In addition, we highlight recent technologies for single-cell transcriptome sequencing that can be integrated with immune repertoires. Finally, we provide a perspective on advanced immune repertoire sequencing and its ability to impact basic immunology, biopharmaceutical drug discovery and development, and cancer immunotherapy.
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Affiliation(s)
- Simon Friedensohn
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
| | - Tarik A Khan
- Pharmaceutical Development & Supplies Biologics Europe, F. Hoffman-La Roche Ltd, Basel, Switzerland
| | - Sai T Reddy
- Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
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23
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Perales Palacios I, García Campos F, Michaus Oquiñena L, Blanco Guzmán S, Lantero Benedito M. [Isolation of Plesiomonas shigelloides in a case of gastroenteritis]. Rev Clin Esp 1984; 15:353-365. [PMID: 6658089 DOI: 10.1038/s41571-018-0002-6] [Citation(s) in RCA: 295] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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