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  • Track B-cell changes in your mouse model
  • Efficient and sensitive profiling of human B-cell receptor repertoire
  • TCRv2 kit validated for rhesus macaque samples
  • Improved TCR repertoire profiling from mouse samples (bulk)
  • TCR repertoire profiling from mouse samples (bulk)
  • BCR repertoire profiling from mouse samples (bulk)
  • Improved TCR repertoire profiling from human samples (bulk)
  • TCR repertoire profiling from human samples (single cells)
  • BCR repertoire profiling from human samples (bulk)
Home › Learning centers › Next-generation sequencing › Technical notes › Immune Profiling › Improved TCR repertoire profiling from mouse samples (bulk)

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Tech Note

A powerful, improved technology for profiling mouse TCR sequences

  • Detect many different sample types and quantities with ultra sensitivity
  • Accurately and reproducibly assess T-cell receptor (TCR) alpha and beta diversity
  • Save costs and gain flexibility by sequencing large pools of TCR libraries (with UDI set and Illumina compatibility)
Introduction Results Conclusions Materials and methods

Introduction  

T cells play a vital role in the adaptive immune system's ability to combat invading pathogens and establish defenses against various diseases. T-cell receptors (TCRs) form the basis of specificity for each individual T cell. To advance discovery in pathogenesis, host response, and potential therapies for cancer, infectious diseases, and autoimmune disorders, we need powerful tools that can decode TCR sequences from both TCR alpha and beta chains in mouse samples.

Our new SMART-Seq Mouse TCR (with UMIs), referred to as the “mTCRv2” kit, is designed to address this need. We have improved the chemistry to ensure the new kit has:

  • Unparalleled sensitivity—for rare TCR clonotype calling
  • Impeccable reliability—with UMI-based error correction
  • Simple methodology—with a streamlined protocol for pooling

Applications of mTCRv2 include but are not limited to researching:

  • The development of lymphocytes—how different factors drive compartmentalization, differentiation, and distribution of T cells in different mouse tissues
  • Biomarkers in mouse disease models—how TCR signatures function as biomarkers for prognosis, diagnosis, and treatment of autoimmune diseases like Type 1 diabetes and rheumatoid arthritis
  • Responses to cancer immunotherapy—how relative abundance of different T-cell clones affects sensitivity to cancer immunotherapy
  • Host response in infectious diseases—how T cells influence the responsiveness to antiretroviral therapy or cause remission in certain cases

A SMART-based approach for sensitive and unbiased detection of TCR transcripts

Exactly how does mTCRv2 technology work? First-strand cDNA synthesis is dT-primed and results in the addition of non-templated nucleotides. The TCR SMART UMI Oligo, which has UMI sequences incorporated, then anneals to the non-templated oligonucleotides added by the reverse transcriptase. These oligonucleotides serve as a new template for primers to bind during PCR1 to amplify the entire variable region and considerable portion of the constant region from both TCR alpha and beta chains (Figure 1, Panel A). Products from PCR1 are used as templates for the second round of semi-nested PCR, in which the entire variable region gets amplified and indexed with the UDI sets. Following bead purification, size selection, and quality check, the library is ready for Illumina sequencing on various Illumina sequencers (Figure 1, Panel B).

Figure 1. SMART-Seq Mouse TCR (with UMIs) workflow. Panel A. First-strand cDNA synthesis is dT-primed and performed by the MMLV-derived SMARTScribe Reverse Transcriptase (RT), which adds non-templated nucleotides (XXXXX) upon reaching the 5’ end of each mRNA template. The TCR SMART UMI Oligo anneals to these nucleotides, allowing it to serve as a template for the incorporation of the SMART adapter sequences (light green) and UMI (yellow) into the first-strand cDNA. After this template switching step is completed, the first round of PCR (PCR1) is carried out with the forward primer (mTCR PCR1 Universal Forward) adding the Read 2 sequence (dark green), while the reverse primer (mTCRa/mTCRb PCR1 reverse, orange) anneals within the constant region. PCR1 ensures amplification of all TRA/TRB transcripts in an unbiased manner. PCR2 further enriches TRA/TRB transcripts, adds UDIs, and decreases final amplicon sizes for optimal clustering on Illumina sequencers. The UDIs include adapter and index sequences compatible with various Illumina sequencers and allow for multiplexing of up to 384 TCR libraries in a single flow cell lane.

Results  

Conduct innovative experiments using a wide range of sample quantities and types

To evaluate the compatibility of mTCRv2 with different input amounts, we prepared libraries from 10, 100, 250, 500, and 1,000 ng of mouse spleen RNA. Clonotype counts from both alpha and beta chains increase consistently with higher input amount (Figure 2, Panel A).

Meanwhile, we tested the performance of the new mTCRv2 kit across different sample types. Libraries were prepared from 200 ng of RNA isolated from four sample types frequently used in mouse studies—thymus, bone marrow, whole blood, and spleen. The sequencing results indicate that TCR sequences are captured with high sensitivity in all these sample types, suggesting the mTCRv2 kit is well suited for the analysis of mouse TCRs (Figure 2, Panel B).

Figure 2. Evaluation of mTCRv2 kit performance across various sample amounts and types. Panel A. TCR libraries were made for both alpha (blue) and beta (purple) chains from 10, 100, 250, 500, and 1,000 ng of mouse spleen RNA with the mTCRv2 workflow. The resulting TCR libraries were sequenced on the Illumina NextSeq® platform, generating 2 x 150 bp reads. Sequencing outputs were downsampled to ~1.5 x 107 reads. Panel B. The mTCRv2 workflow was performed using 200 ng RNA isolated from four different sample types. The resulting TCR libraries were sequenced on NextSeq, generating 2 x 150 bp reads. Sequencing outputs were downsampled to 2.0 x 107 reads for each sample type. Data were processed using Takara Bio Cogent NGS Immune Profiler software, and bar plots were generated to show clonotype counts for each individual input amount or sample type. TRA = TCR alpha chain, TRB = TCR beta chain.

Study the mouse TCR landscape with accuracy and reproducibility

Our mTCRv2 kit not only allows for sensitive detection of TCR sequences in different sample types; it also guarantees accuracy and reproducibility with the incorporation of UMIs. We prepared TCR libraries using mouse spleen RNA and examined how clonotype counts changed with increasing sequencing depth. Incorporation of UMIs allowed us to remove TCR sequences incorrectly called due to PCR duplicates and sequencing errors, which is crucial in clinical research (Figure 3, Panel A). UMIs also ensure confident clonotype identification at a lower sequencing depth. With fewer reads required to identify the same number of clonotypes, customers can free up the extra sequencing reads available to pool more samples together.

When looking for critical biomarkers such as rare TCRs, reproducibility is essential. To evaluate the reproducibility of mTCRv2, we prepared TCR libraries from 10 ng and 100 ng of mouse spleen RNA using the mTCRv2 protocol. Technical replicates for each input amount were sequenced on a MiSeq® sequencer with 300-cycle and 600-cycle cartridges to cover the CDR3 region and full-length V(D)J sequences, respectively. The Venn diagram indicates at least 87% clonotype overlap (Figure 3, Panel B), suggesting outstanding reproducibility.

Figure 3. Correction of PCR duplicates and sequencing errors using UMIs. Panel A. TRA and TRB sequencing libraries from 10 ng of mouse spleen RNA were prepared using the mTCRv2 workflow. TRA and TRB clonotype counts at different sequencing depths are shown with (blue line) and without (purple line) UMI-based error correction. Panel B. Venn diagrams show ≥87% clonotype overlap between TRA libraries sequenced with different cartridges and ≥88% clonotype overlap between TRB libraries sequenced with different cartridges.

Save on costs with library pooling and flexible sequencing options

We understand the increasing need for high-throughput analysis in basic and clinical research. We designed the mTCRv2 kit to be compatible with our current UDI sets, enabling you to pool up to 384 TCR libraries and to sequence on Illumina platforms with patterned flow cells. Sequencing the libraries with UDIs helps prevent issues like index hopping, ensuring high data quality and maximum discovery.

Besides saving sequencing costs by pooling samples with UDIs, the kit also allows the flexibility to sequence mouse TCR libraries in different ways. Sequence either the entire full-length V(D)J with 300-cycle, paired-end sequencing or just sequence the CDR3 region with a shorter sequencing length. This allows you to decode the most important sequences underlying T cell-antigen interaction while staying within budget (Figure 4).

Figure 4. Evaluation of sequencing flexibility with mTCRv2 kits. To evaluate whether mTCRv2 kits can support full-length V(D)J or CDR3-only sequencing, TCR sequencing libraries generated with 10 ng or 100 ng of mouse spleen RNA were sequenced on the Illumina MiSeq platform. Sequencing was done with either 2 x 150 bp reads (= 300 cycle for CDR3 region) or 2 x 300 bp reads (= 600 cycle for V(D)J region). Sequencing outputs were down sampled to 1 x 106 reads, which were sufficient for capturing TCR clonotypes with high sensitivity from both 10 ng and 100 ng inputs. Data were processed using Takara Bio Cogent NGS Immune Profiler software. Bar plot was generated to compare TRA and TRB clonotype counts for each input amount when sequenced with 2 x 150 bp or 2 x 300 bp reads.

Conclusions  

Bulk sample mouse TCR profiling is important in advancing our understanding of immune responses in mouse models, allowing us to form better strategies for diagnosis and treatment. SMART-Seq Mouse TCR (with UMIs) allows you to discover critical biomarkers within mouse TCR sequences for the development of better immunotherapies and vaccine strategies.

Materials and methods  

RNA samples

Mouse spleen RNA was obtained internally (Takara Bio, Cat. #636605). Mouse Whole Blood (Cat. #MR-705-C57), Bone Marrow (Cat. #MR-704-C57), and Thymus (Cat #MR-702-C57) RNA were purchased from AMSBIO. All RNA samples were quantified using the ThermoFisher Nanodrop and diluted as necessary to achieve the range of RNA inputs tested (1 ng–1 μg).

Library purification, quantification, and sequencing

All libraries containing TRA and TRB sequences were generated using the SMART-Seq Mouse TCR (with UMIs) kit as per the user manual. Following purification and size selection, libraries were quantified using the Qubit and the Agilent 2100 Bioanalyzer. Libraries were sequenced on either an Illumina MiSeq platform with 600-cycle V3 cartridges (Illumina, Cat. #MS-102-3003), Illumina MiSeq platform with 300-cycle V3 cartridges (Illumina, Cat. #MS-102-3001), NextSeq 550 platform with 300-cycle Mid Output cartridges (Illumina, Cat. #20024905), or MiniSeq with 300-cycle Mid Output cartridges (Illumina, Cat. #FC-420-1004). Sequencing data analysis was completed using Cogent NGS Immune Viewer software.

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