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May 15, 2024Open Access

Figure 6 from FUME-TCRseq Enables Sensitive and Accurate Sequencing of the T-cell Receptor from Limited Input of Degraded RNA

Ann‐Marie Baker Gayathri Nageswaran Pablo Nenclares Tahel Ronel Kane Smith Christopher Kimberley Miangela M. Laclé Shreerang Bhide Kevin J. Harrington Alan Melcher Manuel Rodriguez‐Justo Benny Chain Trevor A. Graham

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Abstract

A, Bar plots showing the proportion of each V gene detected by FUME-TCRseq (right column) and immunoSEQ (left column) in three representative FFPE head and neck cancer samples (HN1, HN2, HN3). B, Bar chart showing the numbers of unique TCR clonotypes detected in the three samples with FUME-TCRseq and immunoSEQ methodologies. C, Heat map showing the Morisita overlap between each sample. D, Plots showing the frequencies of the 10 most common clonotypes detected in each sample by immunoSEQ and the frequencies at which they appear in the FUME-TCRseq data.

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Baker et al. (2024) studied this question.

synapsesocial.com/papers/68e6a14db6db643587624ff9 https://doi.org/10.1158/0008-5472.25826414

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Figure 5 from FUME-TCRseq Enables Sensitive and Accurate Sequencing of the T-cell Receptor from Limited Input of Degraded RNA2024
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3Figure 4 from FUME-TCRseq Enables Sensitive and Accurate Sequencing of the T-cell Receptor from Limited Input of Degraded RNA2024
4Data from FUME-TCRseq Enables Sensitive and Accurate Sequencing of the T-cell Receptor from Limited Input of Degraded RNA2024
5FUME-TCRseq Enables Sensitive and Accurate Sequencing of the T-cell Receptor from Limited Input of Degraded RNA2024 · 5 citations

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Figure 1 from FUME-TCRseq Enables Sensitive and Accurate Sequencing of the T-cell Receptor from Limited Input of Degraded RNA2024