Sensitive, Non‐Destructive Detection and Analysis of Neoantigen‐Specific T Cell Populations from Tumors and Blood
SSRN, ISSN: 1556-5068
2018
- 1Citations
- 1,358Usage
- 24Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Tumor neoantigens are fragments of mutated proteins that contain the mutation, and can be presented by major histocompatibility complex molecules on tumor cells, where they are surveyed by T cells. The rapid and sensitive identification of neoantigen‐specific T cell populations from tumor tissues or blood has proven challenging. A microchip platform for the non‐destructive identification of neoantigen‐specific CD8 T cells is described. The method utilizes a library of neoantigen/MHC tetramers linked to a magnetic nanoparticle via a DNA barcode. The neoantigen‐specificity of the T cells is determined by decoding the barcode through sequential fluorescent microscopy reads. The captured T cells may be further characterized for function, or via matching the neoantigen‐specificity with the T cell receptor gene. Tumor infiltrating lymphocytes and non‐expanded peripheral blood mononuclear cells collected from melanoma patients at various time points across an anti‐PD1 therapy regimen are shown to contain overlapping neoantigen‐specific T cell populations.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85114875896&origin=inward; http://dx.doi.org/10.2139/ssrn.3155791; https://www.ssrn.com/abstract=3155791; https://dx.doi.org/10.2139/ssrn.3155791; https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3155791; https://ssrn.com/abstract=3155791
Elsevier BV
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