Evidence map›Paper›PMID 27460926›Full record

ArticleGenome medicine2016

Single-cell TCRseq: paired recovery of entire T-cell alpha and beta chain transcripts in T-cell receptors from single-cell RNAseq.

David Redmond, Asaf Poran, Olivier Elemento

Abstract read
In one paragraph

Article in Genome medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed
–field-weighted citation impact
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

85 citing papers in PubMed.

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

David RedmondTri-Institutional Training Program in Computational Biology and Medicine, New York, NY, USA.
Asaf PoranInstitute for Computational Biomedicine & Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
Olivier ElementoTri-Institutional Training Program in Computational Biology and Medicine, New York, NY, USA. ole2001@med.cornell.edu.

Funding

Tri-Institutional Training Program in Computational Biology & MedicineT32GM083937 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHRISTINI, DAVID J. · 2009 to 2018
$3.1M
The identification and validation of mechanisms and biomarkers for relapse in diffuse large B-cell lymphoma (Administrative Supplement)R01CA194547 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI ELEMENTO, OLIVIER, TAM, WAYNE · 2015 to 2019
$2.6M
NCI NIH HHS R01 CA194547NIGMS NIH HHS T32 GM083937
6 · The paper itself

Abstract

Accurate characterization of the repertoire of the T-cell receptor (TCR) alpha and beta chains is critical to understanding adaptive immunity. Such characterization has many applications across such fields as vaccine development and response, clone-tracking in cancer, and immunotherapy. Here we present a new methodology called single-cell TCRseq (scTCRseq) for the identification and assembly of full-length rearranged V(D)J T-cell receptor sequences from paired-end single-cell RNA sequencing reads. The method allows accurate identification of the V(D)J rearrangements for each individual T-cell and has the novel ability to recover paired alpha and beta segments. Source code is available at https://github.com/ElementoLab/scTCRseq .

Indexed as

Gene Rearrangement, alpha-Chain T-Cell Antigen ReceptorGene Rearrangement, beta-Chain T-Cell Antigen ReceptorAdaptive ImmunityAnimalsGene Expression RegulationHumansJurkat CellsMiceReceptors, Antigen, T-Cell, alpha-betaRNA, MessengerSequence Analysis, RNASingle-Cell AnalysisT-LymphocytesV(D)J RecombinationReceptors, Antigen, T-Cell, alpha-betaRNA, Messenger

Identifiers

PMID27460926
PMCPMC4962388

What OpenQuestion holds

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LicenceCC BY
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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.