QIAseq Immune Repertoire RNA Library Kits

For human and mouse immune repertoire screening


This kit has been upgraded to the QIAseq Targeted RNA-seq Panel for T-cell Receptor. We recommend starting new projects with the upgraded kits.  
QIAseq Immune Repertoire RNA Library Kits are intended for molecular biology applications. These products are not intended for the diagnosis, prevention, or treatment of a disease.
QIAseq Immune Repertoire RNA Library Kit

Cat. No. / ID:  333705

QIAseq Immune Repertoire RNA Library Kit for human and mouse immune repertoire screening


  • Unique Molecular Indices (UMI) ensure accurate sequencing results
  • Online data analysis through GeneGlobe
  • Includes QIAseq Beads for reaction cleanup
  • Automation-friendly protocol for human or mouse samples
  • QIAseq Sample Indices ordered separately to multiplex up to 384 samples

Product Details

The QIAseq Immune Repertoire RNA Library Kits use Unique Molecular Indices (UMI) with gene-specific primers to target specific RNAs for NGS sequencing. Each unique panel is carefully designed and laboratory-verified for sequencing performance with a UMI-aware alignment software for maximum sequencing performance and accurate results. The Human and Mouse T-cell Receptors Panel is used for sequencing the V(D)J region of the alpha, beta, delta and gamma genes, including the CDR3 regions. Online analysis through the  GeneGlobe Data Analysis Center provides key sequencing QC metrics, as well as the frequency and identity of each clonotype sequenced.

This kit has been upgraded to the QIAseq Targeted RNA-seq Panel for T-cell Receptor. We recommend starting new projects with the upgraded kits.  

See figures


Comprehensive view of the T-cell immune repertoire
The heatmaps allow for easy identification of enriched clonotypes across the sample.  This figure shows the major clonotype of the Jurkat cell, as well as the diversity of the PBMC background. The data analysis included with the purchase of the QIAseq Immune Repertoire T-cell receptor panels includes an online portal that seamlessly integrates with Illumina BaseSpace and provides primary read mapping, UMI demultiplexing and reports on sequencing performance, TCR chain usage, CDR3 peptide sequence and length distributions, together with rarefaction and V/D/J usage heat maps.
Sensitive to at least 0.01%
RNA from Jurkat cells was spiked into RNA extracted from peripheral blood mononuclear cells (PBMCs; Precision Medicine) at 10%, 1%, 0.1% and 0.01% and used to make an RNA-seq library. Table 1 shows the number of raw reads and the demultiplexed unique captures (UMIs) per Jurkat TCR-alpha and TCR-beta clonotype. Even when present at only 0.01%, the Jurkat RNA is readily quantifiably identified. For data analysis, UMIs and Raw Reads are used to ensure high precision around each clonotype sequence identified.
Table1. Quantifiable Jurkat RNA, even at low levels
Chain % Jurkat cells Rank Reads UMIs
TCR-alpha 10
1 1

0.1 1

0.01 10

TCR-beta 10 1 383,594

1 1 5,920

0.1 2

0.01 61
See figures


By using UMIs, the QIAseq Immune Repertoire RNA Library Kit Panel eliminates PCR duplicates and minimizes artifacts that may arise during the library preparation process or during the sequencing run. This ensures sensitive, accurate and unbiased quantification of the number of TCR transcripts captured and sequenced.
The QIAseq Immune Repertoire RNA Library Kit relies on a highly efficient, TCR-specific cDNA synthesis reaction, ligation of sample index adapters containing UMIs and TCR gene-specific primer enrichment for sensitive TCR clonotype and diversity assessment. Each kit contains species-specific TCR reverse transcriptase and enrichment panel primers, together with QIAseq reaction cleanup beads and library reagents. The QIAseq Immune Repertoire RNA Library Kit is designed to enrich TCR α, β, γ and σ subunits using 10–1000 ng RNA from human or mouse samples.


The QIAseq Immune Repertoire RNA Library Kit relies on a highly efficient, TCR-specific cDNA synthesis, TCR gene-specific primer enrichment and molecular indexing for accurate and sensitive TCR clonotype and diversity assessment (see figure " QIAseq Immune Repertoire RNA Library workflow"). TCR reverse transcriptase and enrichment panel primers are provided, together with library reagents.

cDNA synthesis

RNA samples are first reverse transcribed into cDNA with TCR-specific RT primers. Subsequently, second-strand synthesis occurs, which generates double-stranded cDNA (ds-cDNA). This ds-cDNA is then end-repaired and A-tailed in a single-tube protocol.

UMI assignment

Prior to target enrichment and library amplification, each original cDNA molecule is assigned a UMI by ligating an adapter containing a 12-base fully random sequence (i.e., the UMI) to the ds-cDNA. Statistically, this process provides 4^12 possible indices per adapter, and each DNA molecule in the sample receives a unique UMI sequence. In addition, this ligated adapter also contains the first sample index.

Target enrichment and final library construction

Following UMI assignment, target enrichment is performed to ensure that TCR cDNA molecules are sufficiently enriched in the sequenced library. For enrichment, ligated cDNA molecules are subjected to targeted PCR using one TCR constant-region-specific primer and one universal primer complementary to the adapter. A universal PCR is ultimately carried out to amplify the library and introduce platform-specific adapter sequences, as well as additional sample indices.

See figures


This kit provides a solution for immune repertoire sequencing from RNA.

Supporting data and figures


Quick-Start Protocols (3)
Part 3: Cleanup of target enrichment, universal PCR, cleanup of universal PCR
Part 1: RT primer hybridization, reverse transcription, second strand synthesis, end-repair, A-addition
Part 2: Adapter ligation, cleanup of adapter-ligated DNA, target enrichment
Next Generation Sequencing (1)
Safety Data Sheets (1)
Certificates of Analysis (1)


PD-1 and TIGIT coexpression identifies a circulating CD8 T cell subset predictive of response to anti-PD-1 therapy.
Simon S; Voillet V; Vignard V; Wu Z; Dabrowski C; Jouand N; Beauvais T; Khammari A; Braudeau C; Josien R; Adotevi O; Laheurte C; Aubin F; Nardin C; Rulli S; Gottardo R; Ramchurren N; Cheever M; Fling SP; Church CD; Nghiem P; Dreno B; Riddell SR; Labarriere N;
J Immunother Cancer; 2020; 8 (2) 2020 Nov PMID:33188038
TCR Analyses of Two Vast and Shared Melanoma Antigen-Specific T Cell Repertoires: Common and Specific Features.
Simon S; Wu Z; Cruard J; Vignard V; Fortun A; Khammari A; Dreno B; Lang F; Rulli SJ; Labarriere N;
Front Immunol; 2018; 9 :1962 2018 Aug 30 PMID:30214446
Diagnosing Viral Infections Through T-Cell Receptor Sequencing of Activated CD8+ T Cells.
Vujkovic A; Ha M; de Block T; van Petersen L; Brosius I; Theunissen C; van Ierssel SH; Bartholomeus E; Adriaensen W; Vanham G; Elias G; Van Damme P; Van Tendeloo V; Beutels P; van Frankenhuijsen M; Vlieghe E; Ogunjimi B; Laukens K; Meysman P; Vercauteren K;
J Infect Dis; 2024; 229 (2):507-516 2024 Feb 14 PMID:37787611
Evidence of premature lymphocyte aging in people with low anti-spike antibody levels after BNT162b2 vaccination.
Huang Y; Shin JE; Xu AM; Yao C; Joung S; Wu M; Zhang R; Shin B; Foley J; Mahov SB; Modes ME; Ebinger JE; Driver M; Braun JG; Jefferies CA; Parimon T; Hayes C; Sobhani K; Merchant A; Gharib SA; Jordan SC; Cheng S; Goodridge HS; Chen P;
iScience; 2022; 25 (10):105209 2022 Sep 26 PMID:36188190
Preexisting memory CD4 T cells in naïve individuals confer robust immunity upon hepatitis B vaccination.
Elias G; Meysman P; Bartholomeus E; De Neuter N; Keersmaekers N; Suls A; Jansens H; Souquette A; De Reu H; Emonds MP; Smits E; Lion E; Thomas PG; Mortier G; Van Damme P; Beutels P; Laukens K; Van Tendeloo V; Ogunjimi B;
Elife; 2022; 11 2022 Jan 25 PMID:35074048