PLoS ONE · 2020 · 20 citations · 16 references
Life SciencesImmunologyMolecular BiologyGenomicsImmunogeneticsMolecular ImmunologyAntigen RecognitionDna SequencingImmunogenomicsImmunoglobulin Gene RearrangementPolymerase Chain ReactionV(d)j RecombinationImmune Receptor SequencingImmune Repertoire ProfilingLibrary Preparation For SequencingMultiplex Polymerase Chain Reaction (Pcr)Multiplex Polymerase Chain Reaction AssaysT Cell Receptor SequencingT-cell Receptor Gene SequencingT-cell Repertoire Analysis
Deep sequencing of T-cell receptor (TCR) genes is powerful at profiling immune repertoire. To prepare a TCR sequencing library, multiplex polymerase chain reaction (mPCR) is widely applied and is highly efficient. That is, most mPCR products contain the region critical for antigen recognition, which also indicates regular V(D)J recombination. Multiplex PCR, however, may suffer from primer bias. A promising alternative is 5'-RACE, which avoids primer bias by applying only one primer pair. In 5'-RACE data, however, non-regular V(D)J recombination (e.g., TCR sequences without a V gene segment) has been observed and the frequency varies (30-80%) between studies. This suggests that the cause of or how to reduce non-regular TCR sequences is not yet well known by the science community. Although it is possible to speculate the cause by comparing the 5'-RACE protocols, careful experimental confirmation is needed and such a systematic study is still not available. Here, we examined the 5'-RACE protocol of a commercial kit and demonstrated how a modification increased the fraction of regular TCR-β sequences to >85%. We also found a strong linear correlation between the fraction of short DNA fragments and the percentage of non-regular TCR-β sequences, indicating that the presence of short DNA fragments in the library was the main cause of non-regular TCR-β sequences. Therefore, thorough removal of short DNA fragments from a 5'-RACE library is the key to high data efficiency. We highly recommend conducting a fragment length analysis before sequencing, and the fraction of short DNA fragments can be used to estimate the percentage of non-regular TCR sequences. As deep sequencing of TCR genes is still relatively expensive, good quality control should be valuable.
16
An Immune Atlas of Clear Cell Renal Cell Carcinoma
Stéphane Chevrier, Jacob Levine, Vito Riccardo Tomaso Zanotelli et al. · Cell · 2017 · 1K citations · Full text
Medicine, Immunology, Oncology +14
Towards error-free profiling of immune repertoires
Mikhail Shugay, Olga V. Britanova, Ekaterina M. Merzlyak et al. · Nature Methods · 2014 · 470 citations
Overview of methodologies for T-cell receptor repertoire analysis
Elisa Rosati, C. Marie Dowds, Evaggelia Liaskou et al. · BMC Biotechnology · 2017 · 356 citations · Full text