TCR Mini | 10k Cells | 12 Samples
Explore the benefits of single cell TCR sequencing.
TCR | 100k Cells | 48 Samples
Comprehensive TCR sequencing across samples, replicates, or timepoints.
TCR Mega | 1M Cells 96 Samples
Capture the diversity of the immune repertoire at scale.
T Cell Receptor (TCR) Profiling
T cells play a central role in the adaptive immune system. The T Cell Receptor (TCR) is a protein complex that enables recognition and response to an enormous breadth of antigens. Each TCR is composed of two chains that combine and add to the diversity of a possible receptor. In most cases, these consist of the alpha chain (TCR alpha) and the beta chain (TCR beta). The enormous diversity of the TCR results from recombination of the variable (V), the diversity (D), and the joining (J) gene segments and the insertion of random nucleotides at junctions
Up to 1 Million Cells in a Single Experiment
Scale matters. The diverse immune repertoire demands higher cell number experiments to identify the vast numbers of TCR clonotypes present in each sample.
Sensitive Clonotype Detection
Revealing the complexity of the immune repertoire requires sensitive detection of TCRs along with whole transcriptome profiles.
Comprehensive Immune Repertoire Detection
The Evercode TCR kit captures the largest single cell immune repertoire dataset from a single experiment.
From Bench to Insight
The Evercode TCR and Whole Transcriptome technology provide the reagents, software, and accessibility to pursue difficult research questions.
Lock in gene expression immediately after sample collection with a rapid fixation protocol. After fixation, samples can be stored for up to 6 months or proceed directly to barcoding.
Barcoding & Library Prep
Append barcodes to each transcript by progressing cells through split-pool combinatorial barcoding. The kit proceeds to a standard library preparation to generate sequencing-ready molecules.
The resulting libraries are sequenced by NGS.
Our computational pipeline generates an interactive report for rapid insights. All output data files, including gene-cell count matrix, integrate seamlessly with existing open source tools such as Seurat or Scanpy.