Evidence map›Paper›PMID 27571370›Full record

ArticleNature biotechnology2016

Large-scale detection of antigen-specific T cells using peptide-MHC-I multimers labeled with DNA barcodes.

Amalie Kai Bentzen, Andrea Marion Marquard, Rikke Lyngaa, Sunil Kumar Saini, Sofie Ramskov, Marco Donia, Lina Such, Andrew J S Furness, Nicholas McGranahan, Rachel Rosenthal and 8 more

Abstract read
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In one paragraph

Article in Nature biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 213 papers.

0numbers the graph read from it
0cells of the map it votes in
213citing papers in PubMed
16.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

213 citing papers in PubMed, 336 citations in OpenAlex.

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153 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 4 institutions in 2 countries.

Amalie Kai BentzenSection for Immunology and Vaccinology, National Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark.
Andrea Marion MarquardCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark.ORCID http://orcid.org/0000-0003-2928-6017
Rikke LyngaaSection for Immunology and Vaccinology, National Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark.
Sunil Kumar SainiSection for Immunology and Vaccinology, National Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-3382-9432
Sofie RamskovSection for Immunology and Vaccinology, National Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark.
Marco DoniaCenter for Cancer Immune Therapy, Department of Hematology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark.
Lina SuchSection for Immunology and Vaccinology, National Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark.
Andrew J S FurnessCRUK Lung Cancer Center of Excellence, UCL Cancer Institute, London, UK.
Nicholas McGranahanCRUK Lung Cancer Center of Excellence, UCL Cancer Institute, London, UK.
Rachel RosenthalCRUK Lung Cancer Center of Excellence, UCL Cancer Institute, London, UK.
Per Thor StratenCenter for Cancer Immune Therapy, Department of Hematology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark.
Zoltan SzallasiCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark.
Inge Marie SvaneCenter for Cancer Immune Therapy, Department of Hematology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark.
Charles SwantonCRUK Lung Cancer Center of Excellence, UCL Cancer Institute, London, UK.
Sergio A QuezadaCRUK Lung Cancer Center of Excellence, UCL Cancer Institute, London, UK.
Søren Nyboe JakobsenSection for Immunology and Vaccinology, National Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark.
Aron Charles EklundCenter for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark, Lyngby, Denmark.ORCID http://orcid.org/0000-0003-0861-1001
Sine Reker HadrupSection for Immunology and Vaccinology, National Veterinary Institute, Technical University of Denmark, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-5937-4344
Technical University of Denmark · DKThe Francis Crick Institute · GBUniversity of Copenhagen · DKCRUK Lung Cancer Centre of Excellence · GB

Funding

Cancer Research UK 20265Cancer Research UK 20466
6 · The paper itself

Abstract

Identification of the peptides recognized by individual T cells is important for understanding and treating immune-related diseases. Current cytometry-based approaches are limited to the simultaneous screening of 10-100 distinct T-cell specificities in one sample. Here we use peptide-major histocompatibility complex (MHC) multimers labeled with individual DNA barcodes to screen >1,000 peptide specificities in a single sample, and detect low-frequency CD8 T cells specific for virus- or cancer-restricted antigens. When analyzing T-cell recognition of shared melanoma antigens before and after adoptive cell therapy in melanoma patients, we observe a greater number of melanoma-specific T-cell populations compared with cytometry-based approaches. Furthermore, we detect neoepitope-specific T cells in tumor-infiltrating lymphocytes and peripheral blood from patients with non-small cell lung cancer. Barcode-labeled pMHC multimers enable the combination of functional T-cell analysis with large-scale epitope recognition profiling for the characterization of T-cell recognition in various diseases, including in small clinical samples.

Indexed as

AntigensCD8-Positive T-LymphocytesCells, CulturedDNA Barcoding, TaxonomicGenes, MHC Class IHigh-Throughput Screening AssaysHumansImmunoassayPeptidesProtein MultimerizationStaining and LabelingAntigensPeptides

Identifiers

PMID27571370
OpenAlexW2507608410

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.