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dc.contributor.authorBaker, A-M
dc.contributor.authorNageswaran, G
dc.contributor.authorNenclares, P
dc.contributor.authorRonel, T
dc.contributor.authorSmith, K
dc.contributor.authorKimberley, C
dc.contributor.authorLaclé, MM
dc.contributor.authorBhide, S
dc.contributor.authorHarrington, KJ
dc.contributor.authorMelcher, A
dc.contributor.authorRodriguez-Justo, M
dc.contributor.authorChain, B
dc.contributor.authorGraham, TA
dc.date.accessioned2024-04-08T09:40:13Z
dc.date.available2024-04-08T09:40:13Z
dc.date.issued2024-05-15
dc.identifier.citationCancer Research,
dc.identifier.issn0008-5472
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/6194
dc.identifier.eissn1538-7445
dc.identifier.eissn1538-7445
dc.description.abstractUNLABELLED: Genomic analysis of the T-cell receptor (TCR) reveals the strength, breadth, and clonal dynamics of the adaptive immune response to pathogens or cancer. The diversity of the TCR repertoire, however, means that sequencing is technically challenging, particularly for samples with low-quality, degraded nucleic acids. Here, we developed and validated FUME-TCRseq, a robust and sensitive RNA-based TCR sequencing methodology that is suitable for formalin-fixed paraffin-embedded samples and low amounts of input material. FUME-TCRseq incorporates unique molecular identifiers into each molecule of cDNA, allowing correction for sequencing errors and PCR bias. Using RNA extracted from colorectal and head and neck cancers to benchmark the accuracy and sensitivity of FUME-TCRseq against existing methods demonstrated excellent concordance between the datasets. Furthermore, FUME-TCRseq detected more clonotypes than a commercial RNA-based alternative, with shorter library preparation time and significantly lower cost. The high sensitivity and the ability to sequence RNA of poor quality and limited amount enabled quantitative analysis of small numbers of cells from archival tissue sections, which is not possible with other methods. Spatially resolved FUME-TCRseq analysis of colorectal cancers using macrodissected archival samples revealed the shifting T-cell landscapes at the transition to an invasive phenotype and between tumor subclones containing distinct driver alterations. In summary, FUME-TCRseq represents an accurate, sensitive, and low-cost tool for the characterization of T-cell repertoires, particularly in samples with low-quality RNA that have not been accessible using existing methodology. SIGNIFICANCE: FUME-TCRseq is a TCR sequencing methodology that supports sensitive and spatially resolved detection of TCR clones in archival clinical specimens, which can facilitate longitudinal tracking of immune responses through disease course and treatment.
dc.language.isoeng
dc.publisherAMER ASSOC CANCER RESEARCH
dc.relation.ispartofCancer Research
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleFUME-TCRseq Enables Sensitive and Accurate Sequencing of the T-cell Receptor from Limited Input of Degraded RNA.
dc.typeJournal Article
dc.date.updated2024-03-07T16:10:25Z
rioxxterms.versionAM
rioxxterms.typeJournal Article/Review
pubs.organisational-groupICR
pubs.organisational-groupICR/Primary Group
pubs.organisational-groupICR/Primary Group/ICR Divisions
pubs.organisational-groupICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-groupICR/Primary Group/ICR Divisions/Molecular Pathology/Genomics and evolutionary dynamics
pubs.publication-statusAccepted
icr.researchteamGenomics & evolut dynam
dc.contributor.icrauthorBaker, Ann-Marie Clare
dc.contributor.icrauthorNenclares, Pablo
dc.contributor.icrauthorRonel, Tahel
dc.contributor.icrauthorHarrington, Kevin
dc.contributor.icrauthorMelcher, Alan
dc.contributor.icrauthorGraham, Trevor
icr.provenanceDeposited by Dr Annie Baker on 2024-03-07. Deposit type is initial. No. of files: 1. Files: CAN-23-3340 manuscript.pdf


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