Literature DB >> 31341290

RNase H-dependent PCR-enabled T-cell receptor sequencing for highly specific and efficient targeted sequencing of T-cell receptor mRNA for single-cell and repertoire analysis.

Shuqiang Li1,2,3, Jing Sun2, Rosa Allesøe2,4, Krishnalekha Datta5, Yun Bao5, Giacomo Oliveira2, Juliet Forman1,2,3, Roger Jin6, Lars Rønn Olsen4, Derin B Keskin2,3, Sachet A Shukla2,3, Catherine J Wu1,2, Kenneth J Livak7,8.   

Abstract

RNase H-dependent PCR-enabled T-cell receptor sequencing (rhTCRseq) can be used to determine paired alpha/beta T-cell receptor (TCR) clonotypes in single cells or perform alpha and beta TCR repertoire analysis in bulk RNA samples. With the enhanced specificity of RNase H-dependent PCR (rhPCR), it achieves TCR-specific amplification and addition of dual-index barcodes in a single PCR step. For single cells, the protocol includes sorting of single cells into plates, generation of cDNA libraries, a TCR-specific amplification step, a second PCR on pooled sample to generate a sequencing library, and sequencing. In the bulk method, sorting and cDNA library steps are replaced with a reverse-transcriptase (RT) reaction that adds a unique molecular identifier (UMI) to each cDNA molecule to improve the accuracy of repertoire-frequency measurements. Compared to other methods for TCR sequencing, rhTCRseq has a streamlined workflow and the ability to analyze single cells in 384-well plates. Compared to TCR reconstruction from single-cell transcriptome sequencing data, it improves the success rate for obtaining paired alpha/beta information and ensures recovery of complete complementarity-determining region 3 (CDR3) sequences, a prerequisite for cloning/expression of discovered TCRs. Although it has lower throughput than droplet-based methods, rhTCRseq is well-suited to analysis of small sorted populations, especially when analysis of 96 or 384 single cells is sufficient to identify predominant T-cell clones. For single cells, sorting typically requires 2-4 h and can be performed days, or even months, before library construction and data processing, which takes ~4 d; the bulk RNA protocol takes ~3 d.

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Year:  2019        PMID: 31341290      PMCID: PMC7189368          DOI: 10.1038/s41596-019-0195-x

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  49 in total

1.  Counting absolute numbers of molecules using unique molecular identifiers.

Authors:  Teemu Kivioja; Anna Vähärautio; Kasper Karlsson; Martin Bonke; Martin Enge; Sten Linnarsson; Jussi Taipale
Journal:  Nat Methods       Date:  2011-11-20       Impact factor: 28.547

2.  Single-Cell Analysis of T-Cell Receptor αβ Repertoire.

Authors:  Pradyot Dash; George C Wang; Paul G Thomas
Journal:  Methods Mol Biol       Date:  2015

3.  Comprehensive assessment of the TCRBV repertoire in small T-cell samples by means of an improved and convenient multiplex PCR method.

Authors:  Sara Mariani; Seung Yae Hwang; Myriam Foglietta; Lisa Bonello; Candida Vitale; Marta Coscia; Francesca Fiore; Benedetto Bruno; Massimo Massaia
Journal:  Exp Hematol       Date:  2009-06       Impact factor: 3.084

4.  Linking T-cell receptor sequence to functional phenotype at the single-cell level.

Authors:  Arnold Han; Jacob Glanville; Leo Hansmann; Mark M Davis
Journal:  Nat Biotechnol       Date:  2014-06-22       Impact factor: 54.908

Review 5.  Preparation of Single-Cell RNA-Seq Libraries for Next Generation Sequencing.

Authors:  John J Trombetta; David Gennert; Diana Lu; Rahul Satija; Alex K Shalek; Aviv Regev
Journal:  Curr Protoc Mol Biol       Date:  2014-07-01

6.  A rapid method to verify single-cell deposition setup for cell sorters.

Authors:  Olivia Roos Rodrigues; Simon Monard
Journal:  Cytometry A       Date:  2016-05-03       Impact factor: 4.355

Review 7.  Design and standardization of PCR primers and protocols for detection of clonal immunoglobulin and T-cell receptor gene recombinations in suspect lymphoproliferations: report of the BIOMED-2 Concerted Action BMH4-CT98-3936.

Authors:  J J M van Dongen; A W Langerak; M Brüggemann; P A S Evans; M Hummel; F L Lavender; E Delabesse; F Davi; E Schuuring; R García-Sanz; J H J M van Krieken; J Droese; D González; C Bastard; H E White; M Spaargaren; M González; A Parreira; J L Smith; G J Morgan; M Kneba; E A Macintyre
Journal:  Leukemia       Date:  2003-12       Impact factor: 11.528

8.  Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment.

Authors:  Elham Azizi; Ambrose J Carr; George Plitas; Andrew E Cornish; Catherine Konopacki; Sandhya Prabhakaran; Juozas Nainys; Kenmin Wu; Vaidotas Kiseliovas; Manu Setty; Kristy Choi; Rachel M Fromme; Phuong Dao; Peter T McKenney; Ruby C Wasti; Krishna Kadaveru; Linas Mazutis; Alexander Y Rudensky; Dana Pe'er
Journal:  Cell       Date:  2018-06-28       Impact factor: 41.582

9.  Single-cell TCRseq: paired recovery of entire T-cell alpha and beta chain transcripts in T-cell receptors from single-cell RNAseq.

Authors:  David Redmond; Asaf Poran; Olivier Elemento
Journal:  Genome Med       Date:  2016-07-27       Impact factor: 11.117

10.  T cell receptor sequencing of early-stage breast cancer tumors identifies altered clonal structure of the T cell repertoire.

Authors:  John F Beausang; Amanda J Wheeler; Natalie H Chan; Violet R Hanft; Frederick M Dirbas; Stefanie S Jeffrey; Stephen R Quake
Journal:  Proc Natl Acad Sci U S A       Date:  2017-11-14       Impact factor: 11.205

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2.  Expression of Staphylococcus aureus Virulence Factors in Atopic Dermatitis.

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4.  Improved T-cell Immunity Following Neoadjuvant Chemotherapy in Ovarian Cancer.

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5.  Personal neoantigen vaccines induce persistent memory T cell responses and epitope spreading in patients with melanoma.

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Journal:  Nat Med       Date:  2021-01-21       Impact factor: 53.440

Review 6.  Applying high-dimensional single-cell technologies to the analysis of cancer immunotherapy.

Authors:  Satyen H Gohil; J Bryan Iorgulescu; David A Braun; Derin B Keskin; Kenneth J Livak
Journal:  Nat Rev Clin Oncol       Date:  2020-12-04       Impact factor: 66.675

7.  Time-spatial analysis of T cell receptor repertoire in esophageal squamous cell carcinoma patients treated with combined radiotherapy and PD-1 blockade.

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8.  Rapid Identification and Evaluation of Neoantigen-reactive T-Cell Receptors From Single Cells.

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Journal:  J Immunother       Date:  2021-01       Impact factor: 4.912

9.  RNase H-dependent PCR enables highly specific amplification of antibody variable domains from single B-cells.

Authors:  John Crissman; Yuhao Lin; Kevin Separa; Madeleine Duquette; Michael Cohen; Candyd Velasquez; Thomas Cujec
Journal:  PLoS One       Date:  2020-11-05       Impact factor: 3.240

10.  Molecular and cellular features of CTLA-4 blockade for relapsed myeloid malignancies after transplantation.

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Journal:  Blood       Date:  2021-06-10       Impact factor: 25.476

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