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Nageswaran G, Byrne S, Veeriah S, Chain B. The Intra-Tumoral T Cell Receptor Repertoire: Steps Towards a Useful Clinical Biomarker. Methods Mol Biol 2022; 2574:135-158. [PMID: 36087200 DOI: 10.1007/978-1-0716-2712-9_6] [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: 06/15/2023]
Abstract
Adaptive immunity recognizes and responds to tumors, although they are part of the immunological "self." T cells, both CD4+ and CD8+, play a key role in the process, and the specific set of receptors which recognize tumor antigens therefore has the potential to provide prognostic biomarkers for tracking tumor growth after cancer therapy, including immunotherapy. Most published data on the T cell repertoire continue to rely on commercial proprietary methods, which often do not allow access to the raw data, and are difficult to validate. We describe an open-source protocol for amplifying, sequencing, and analyzing T cell receptors which is economical, robust, sensitive, and versatile. The key experimental step is the ligation of a single-stranded oligonucleotide to the 3' end of the T cell receptor cDNA, which allows easy amplification of all possible rearrangements using only a single set of primers per locus, while simultaneously introducing a unique molecular identifier to label each starting cDNA molecule. After sequencing, this molecular identifier can be used to correct both sequence errors and the effects of differential PCR amplification efficiency, thus producing a more accurate measure of the true T cell receptor frequency within the sample. Samples are then tagged with unique pairs of indices, facilitating robotic scale-up and significantly reducing cross-sample contamination from index hopping. This method has been applied to the analysis of tumor-infiltrating lymphocytes and matched peripheral blood samples from patients with a variety of solid tumors.
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Affiliation(s)
| | | | | | - Benny Chain
- Division of Infection and Immunity, UCL, London, UK.
- The Cancer Institute, UCL, London, UK.
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2
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Uddin I, Woolston A, Peacock T, Joshi K, Ismail M, Ronel T, Husovsky C, Chain B. Quantitative analysis of the T cell receptor repertoire. Methods Enzymol 2019; 629:465-492. [PMID: 31727254 DOI: 10.1016/bs.mie.2019.05.054] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
The T cell receptor repertoire provides a window into the cellular adaptive immune response. In the context of cancer, determining the repertoire within a tumor can give important insights into the evolution of the T cell anti-cancer response, and has the potential to identify specific personalized biomarkers for tracking host responses during cancer therapy, including immunotherapy. We describe a protocol for amplifying, sequencing and analyzing T cell receptors which is economical, robust, sensitive and versatile. The key experimental step is the ligation of a single stranded oligonucleotide to the 3' end of the T cell receptor cDNA, which allows easy amplification of all possible rearrangements using only a single set of primers per locus, while simultaneously introducing a unique molecular identifier to label each starting cDNA molecule. After sequencing, this molecular identifier can be used to correct both sequence errors and the effects of differential PCR amplification efficiency, thus producing a more accurate measure of the true T cell receptor frequency within the sample. We describe a detailed protocol describing this method to create libraries of T cell receptors from in vitro T cell cultures, blood or tissue samples. We combine this with a computational pipeline, which incorporates sample multiplexing, T cell receptor annotation and error correction to provide accurate counts of individual T cell receptor sequences within samples. The integrated experimental and computational pipeline should be of value to researchers interested in documenting and understanding the T cell immune response to cancer, and in manipulating it for therapeutic purposes.
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Affiliation(s)
- Imran Uddin
- Division of Infection and Immunity, UCL, London, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, UCL, London, United Kingdom
| | | | - Thomas Peacock
- Division of Infection and Immunity, UCL, London, United Kingdom; CoMPLEX, Department of Computer Science, University College London, London, United Kingdom
| | - Kroopa Joshi
- Cancer Immunology Unit, University College London (UCL) Cancer Institute, London, United Kingdom
| | - Mazlina Ismail
- Division of Infection and Immunity, UCL, London, United Kingdom
| | - Tahel Ronel
- Division of Infection and Immunity, UCL, London, United Kingdom
| | - Connor Husovsky
- Division of Infection and Immunity, UCL, London, United Kingdom
| | - Benny Chain
- Division of Infection and Immunity, UCL, London, United Kingdom; Department of Computer Science, UCL, London, United Kingdom.
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3
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Uddin I, Joshi K, Oakes T, Heather JM, Swanton C, Chain B. An Economical, Quantitative, and Robust Protocol for High-Throughput T Cell Receptor Sequencing from Tumor or Blood. Methods Mol Biol 2019; 1884:15-42. [PMID: 30465193 DOI: 10.1007/978-1-4939-8885-3_2] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
The T cell receptor repertoire provides a window to the cellular adaptive immune response within a tumor, and has the potential to identify specific and personalized biomarkers for tracking host responses during cancer therapy, including immunotherapy. We describe a protocol for amplifying, sequencing, and analyzing T cell receptors which is economical, robust, sensitive, and versatile. The key experimental step is the ligation of a single-stranded oligonucleotide to the 3' end of the T cell receptor cDNA, which allows easy amplification of all possible rearrangements using only a single set of primers per locus, while simultaneously introducing a unique molecular identifier to label each starting cDNA molecule. After sequencing, this molecular identifier can be used to correct both sequence errors and the effects of differential PCR amplification efficiency, thus producing a more accurate measure of the true T cell receptor frequency within the sample. This method has been applied to the analysis of unfractionated human tumor lysates, subpopulations of tumor-infiltrating lymphocytes, and peripheral blood samples from patients with a variety of solid tumors.
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MESH Headings
- Antineoplastic Agents, Immunological/therapeutic use
- Biomarkers, Tumor/genetics
- Biomarkers, Tumor/immunology
- Biomarkers, Tumor/metabolism
- High-Throughput Nucleotide Sequencing/economics
- High-Throughput Nucleotide Sequencing/instrumentation
- High-Throughput Nucleotide Sequencing/methods
- Humans
- Lymphocytes, Tumor-Infiltrating/immunology
- Lymphocytes, Tumor-Infiltrating/metabolism
- Neoplasms/blood
- Neoplasms/drug therapy
- Neoplasms/immunology
- Neoplasms/pathology
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/immunology
- Receptors, Antigen, T-Cell/metabolism
- Treatment Outcome
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Affiliation(s)
- Imran Uddin
- Division of Infection and Immunity, UCL, London, UK
| | - Kroopa Joshi
- Cancer Immunology Unit, UCL Cancer Institute, UCL, London, UK
| | - Theres Oakes
- Division of Infection and Immunity, UCL, London, UK
| | | | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, UCL Cancer Institute, UCL, London, UK
- Translational Cancer Therapeutics Laboratory, The Francis Crick Institute, London, UK
| | - Benny Chain
- Division of Infection and Immunity, UCL, London, UK.
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4
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Oakes T, Heather JM, Best K, Byng-Maddick R, Husovsky C, Ismail M, Joshi K, Maxwell G, Noursadeghi M, Riddell N, Ruehl T, Turner CT, Uddin I, Chain B. Quantitative Characterization of the T Cell Receptor Repertoire of Naïve and Memory Subsets Using an Integrated Experimental and Computational Pipeline Which Is Robust, Economical, and Versatile. Front Immunol 2017; 8:1267. [PMID: 29075258 PMCID: PMC5643411 DOI: 10.3389/fimmu.2017.01267] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2017] [Accepted: 09/22/2017] [Indexed: 11/13/2022] Open
Abstract
The T cell receptor (TCR) repertoire can provide a personalized biomarker for infectious and non-infectious diseases. We describe a protocol for amplifying, sequencing, and analyzing TCRs which is robust, sensitive, and versatile. The key experimental step is ligation of a single-stranded oligonucleotide to the 3' end of the TCR cDNA. This allows amplification of all possible rearrangements using a single set of primers per locus. It also introduces a unique molecular identifier to label each starting cDNA molecule. This molecular identifier is used to correct for sequence errors and for effects of differential PCR amplification efficiency, thus producing more accurate measures of the true TCR frequency within the sample. This integrated experimental and computational pipeline is applied to the analysis of human memory and naive subpopulations, and results in consistent measures of diversity and inequality. After error correction, the distribution of TCR sequence abundance in all subpopulations followed a power law over a wide range of values. The power law exponent differed between naïve and memory populations, but was consistent between individuals. The integrated experimental and analysis pipeline we describe is appropriate to studies of T cell responses in a broad range of physiological and pathological contexts.
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Affiliation(s)
- Theres Oakes
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - James M. Heather
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Katharine Best
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Rachel Byng-Maddick
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Connor Husovsky
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Mazlina Ismail
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Kroopa Joshi
- UCL Cancer Institute, University College London, London, United Kingdom
| | - Gavin Maxwell
- Unilever Safety and Environmental Assurance Centre, Unilever, Sharnbrook, United Kingdom
| | - Mahdad Noursadeghi
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Natalie Riddell
- School of Biosciences and Medicine, University of Surrey, Guildford, United Kingdom
| | - Tabea Ruehl
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Carolin T. Turner
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Imran Uddin
- Division of Infection and Immunity, University College London, London, United Kingdom
| | - Benny Chain
- Division of Infection and Immunity, University College London, London, United Kingdom
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5
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Schrum AG, Turka LA, Palmer E. Surface T-cell antigen receptor expression and availability for long-term antigenic signaling. Immunol Rev 2003; 196:7-24. [PMID: 14617194 DOI: 10.1046/j.1600-065x.2003.00083.x] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
It is important to understand how T-cell antigen receptor (TCR) engagement and signaling are regulated throughout an immune response. This review examines the dynamics of surface TCR expression and signaling capacity during thymic and effector T-cell development. Although the TCR can undergo vast changes in surface expression, T cells remain capable of sustaining TCR engagement for long periods of time. This may be achieved by a combination of mechanisms that involve (a) controlling the quantity of surface TCR available for ligand interaction and (b) controlling the quality of surface TCR expression during T-cell activation. TCR signaling itself appears to be one of the main quantitative modulators of surface TCR expression, and it can cause both downregulation and upregulation at different times of T-cell activation. Recent studies indicate that the degree of upregulation is tunable by the strength of antigenic stimulation. There is evidence that qualitatively distinct forms of the TCR exist, and their potential role in sustained antigenic signaling is also discussed. A goal of future studies will be to better characterize these modulations in surface TCR expression and to clarify their impact on the regulation of immune responses.
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Affiliation(s)
- Adam G Schrum
- Laboratory of Transplantation Immunology and Nephrology, Department of Research, University Hospital-Basel, Hebelstrasse 20, CH-4031 Basel, Switzerland.
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Galio L, Briquet S, Vaquero C. Real-time study of interactions between a composite DNA regulatory region (HIV-1 LTR NRE) and several transcription factors of nuclear extracts. Biochem Biophys Res Commun 1999; 264:6-13. [PMID: 10527831 DOI: 10.1006/bbrc.1999.1365] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Here we describe the first real-time study of nuclear protein interaction with a composite DNA regulatory region. We studied the interplay between the three target sites of the negative regulatory element (NRE) of HIV-1 LTR, comprising a noncanonical GATA site overlapping two negative regulatory regions, USF and NFIL-6, and their corresponding transcription factors in nuclear extracts. By bandshift analysis, no GATA binding activity could be detected between LTR NRE and different nuclear extracts, although evidenced by in vitro footprinting. Additionally, the LTR NRE and a USF oligonucleotide showed identical retarded complexes. BIAcore study of these interactions revealed the binding of huGATA-3, as well as USF, to the immobilized LTR NRE oligonucleotide. Competition analyses, performed with GATA, USF, and NFIL-6 oligonucleotides, clearly showed that this regulatory region could bind both huGATA-3 and USF factors. Finally, the presence of USF and huGATA-3 proteins in the complexes formed with LTR NRE was ascertained using specific anti-huGATA-3 and anti-USF2 polyclonal antibodies.
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Affiliation(s)
- L Galio
- CNRS UPR 0415, ICGM, 22 rue Méchain, Paris, 75014, France
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7
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Bronstein-Sitton N, Wang L, Cohen L, Baniyash M. Expression of the T cell antigen receptor zeta chain following activation is controlled at distinct checkpoints. Implications for cell surface receptor down-modulation and re-expression. J Biol Chem 1999; 274:23659-65. [PMID: 10438549 DOI: 10.1074/jbc.274.33.23659] [Citation(s) in RCA: 22] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The multisubunit T cell antigen receptor (TCR) is involved in antigen recognition and signal transduction, leading to T cell activation and rapid down-modulation of the cell surface expressed TCRs. Although the levels of TCR cell surface expression are pivotal to the efficiency and duration of the immune response, the molecular mechanisms controlling TCR down-modulation and re-expression upon activation, remain obscure. Here, we provide a biochemical characterization of the regulatory mechanisms governing TCR expression following long-term T cell activation. We focused primarily on the TCR zeta chain, as this is considered the limiting factor in TCR complex formation and transport to the cell surface. We found that following TCR-mediated activation zeta mRNA is up-regulated by a transcription-dependent mechanism. Concomitantly, zeta protein levels are modified according to a biphasic pattern: rapid degradation coinciding with TCR cell surface down-regulation, followed by a rebound to normal levels 24 h subsequent to T cell activation. Even though there are adequate levels of all the TCR subunits within the cell following 24 h of activation, TCR cell surface expression remained very low, provided the activating antibody is continuously present. Correlative with the latter, we detected a previously undescribed monomeric form of the zeta chain. This form could be indicative of adverse endoplasmic reticulum conditions affecting correct protein folding, dimerization, and TCR assembly, all critical for optimal receptor surface re-expression. Cumulatively, our results indicate that the levels of TCR expression following activation, are tightly controlled at several checkpoints.
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Affiliation(s)
- N Bronstein-Sitton
- Lautenberg Center for General and Tumor Immunology, The Hebrew University-Hadassah Medical School. P.O. Box 12272, Jerusalem 91120, Israel
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8
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Vanhée-Brossollet C, Vaquero C. Regulation of p56(lck) messenger turnover upon T cell activation: involvement of the 3' untranslated region in stability as determined in cell-free extracts. Biochem Biophys Res Commun 1997; 233:419-24. [PMID: 9144550 DOI: 10.1006/bbrc.1997.6477] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Full activation of T lymphocytes transiently downregulates the steady state level of the tyrosine kinase p56(lck) mRNA. Here, we show that a decrease in messenger stability is involved in this downmodulation followed thereafter by a rapid and marked increase in mRNA half-life. In order to facilitate the study of p56(lck) messenger stability, an in vitro mRNA decay assay was developed and used to determine whether the 451 nucleotide long 3' untranslated region (3'UTR) of the messenger is implicated in the regulation of mRNA stability. Indeed, deletion of most of the 3'UTR led to a substantial increase in transcript half-life whereas deletion of a limited 3' portion did not, thus showing that the 146 nucleotides located in 5' of the 3'UTR contain destabilizing elements. Furthermore, the stability of both truncated transcripts was still modulated upon activation, thereby suggesting that the activation-responsive elements are located in a region distinct from the 3'UTR.
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9
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McCready PM, Hansen RK, Burke SL, Sands JF. Multiple negative and positive cis-acting elements control the expression of the murine CD4 gene. BIOCHIMICA ET BIOPHYSICA ACTA 1997; 1351:181-91. [PMID: 9116032 DOI: 10.1016/s0167-4781(96)00194-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The cis-acting elements located within 15 kb 5' of the murine CD4 gene transcriptional start site and the first intron of the CD4 gene have been investigated using deletion constructs. Our transient transfection data indicate that the expression of the murine CD4 gene is controlled by multiple positive and negative regulatory cis-acting elements. There are at least two cis-acting elements that have a positive effect on the expression of the CD4 gene and at least four regions of DNA that have a negative effect. The positive control elements are located about 13.5 kb 5' of the promoter and within the flanking sequences of the first intron. The DNA between the 5' enhancer and the promoter contains at least two regions that exert a negative effect on CD4 expression. In addition to the positive effect that the first intron has on CD4 expression, there are two regions within the first intron that have a negative effect. These two negative regulatory elements correspond to two T-cell-specific DNase I hypersensitive sites found in the first intron.
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Affiliation(s)
- P M McCready
- Department of Biochemistry, School of Medicine, Loma Linda University, CA 92350, USA
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10
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Oncogenic activation of the Lck protein accompanies translocation of the LCK gene in the human HSB2 T-cell leukemia. Mol Cell Biol 1994. [PMID: 8139546 DOI: 10.1128/mcb.14.4.2429] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
The tyrosine protein kinase p56lck transduces signals important for antigen-induced T-cell activation. In transgenic mice, p56lck is oncogenic when overexpressed or expressed as a mutant, catalytically activated enzyme. In humans, the LCK gene is located at the breakpoint of the t(1;7)(p34;q34) chromosomal translocation. This translocation positions the beta T-cell receptor constant region enhancer upstream of the LCK gene without interrupting the LCK coding sequences, and a translocation of this sort occurs in both the HSB2 and the SUP-T-12 T-cell lines. We have found that, although the level of the p56lck protein in HSB2 cells is elevated approximately 2-fold in comparison with that in normal T-cell lines, total cellular tyrosine protein phosphorylation is elevated approximately 10-fold. Increased levels of phosphotyrosine in HSB2 cells resulted from mutations in the LCK gene that activated its function as a phosphotransferase and converted it into a dominant transforming oncogene. The oncogenic p56lck in HSB2 cells contained one amino acid substitution within the CD4/CD8-binding domain, two substitutions in the kinase domain, and an insertion of Gln-Lys-Pro (QKP) between the SH2 and kinase domains. In NIH 3T3 fibroblasts, three of these mutations cooperated to produce the fully oncogenic form of this p56lck variant. These results suggest that mutation of LCK may contribute to some human T-cell leukemias.
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Wright DD, Sefton BM, Kamps MP. Oncogenic activation of the Lck protein accompanies translocation of the LCK gene in the human HSB2 T-cell leukemia. Mol Cell Biol 1994; 14:2429-37. [PMID: 8139546 PMCID: PMC358610 DOI: 10.1128/mcb.14.4.2429-2437.1994] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
The tyrosine protein kinase p56lck transduces signals important for antigen-induced T-cell activation. In transgenic mice, p56lck is oncogenic when overexpressed or expressed as a mutant, catalytically activated enzyme. In humans, the LCK gene is located at the breakpoint of the t(1;7)(p34;q34) chromosomal translocation. This translocation positions the beta T-cell receptor constant region enhancer upstream of the LCK gene without interrupting the LCK coding sequences, and a translocation of this sort occurs in both the HSB2 and the SUP-T-12 T-cell lines. We have found that, although the level of the p56lck protein in HSB2 cells is elevated approximately 2-fold in comparison with that in normal T-cell lines, total cellular tyrosine protein phosphorylation is elevated approximately 10-fold. Increased levels of phosphotyrosine in HSB2 cells resulted from mutations in the LCK gene that activated its function as a phosphotransferase and converted it into a dominant transforming oncogene. The oncogenic p56lck in HSB2 cells contained one amino acid substitution within the CD4/CD8-binding domain, two substitutions in the kinase domain, and an insertion of Gln-Lys-Pro (QKP) between the SH2 and kinase domains. In NIH 3T3 fibroblasts, three of these mutations cooperated to produce the fully oncogenic form of this p56lck variant. These results suggest that mutation of LCK may contribute to some human T-cell leukemias.
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Affiliation(s)
- D D Wright
- Department of Pathology, University of California, School of Medicine, San Diego, La Jolla 92093-0612
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