Abstract The T cell receptor (TCR), a defining structure of T cells is responsible for the recognition of the antigen-major histocompatibility complex, leading to the initiation of an immune response. The extreme diversity of the TCR repertoire represents a major analytical challenge. Massively parallel high throughput sequencing is commonly deployed to characterize various key features of T cell receptors including their clonal expansion and repertoire diversity. Genomic DNA is the most widely employed starting material to characterize the TCR repertoire. DNA is highly stable and contains a fixed copy number per cell, which allows for better quantification of TCR clones. However, the inclusiveness is a major limitation of using genomic DNA along with the PCR amplification challenges and sequencing errors due to recombined gene segments within the context of ‘unused’ segments and introns. Here we deploy RNA-based TCR profiling as an alternate strategy to overcome the major limitations associated with the DNA-based approach. Employing RNA with a simplified PCR amplification strategy allows a more comprehensive identification of unique TCR variants with greater sensitivity. It also provides information about expression levels of TCR sequences, and more importantly, excludes the non-productive sequences that are functionally irrelevant. In addition, Unique Molecular Indexing (UMIs) enables the determination of the absolute count of RNA transcripts processed in a sample, allowing straightforward error corrections. Citation Format: Shanker Kalyana-Sundaram, Christopher Traini, Wendy Halsey, Heather Jackson, Sabyasachi Bhattacharya, Niranjan Yanamandra, Ganesh Sathe, George Livi. Comparative analysis between DNA vs RNA-based T cell repertoire profiling for cancer immunotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 1208.