Evidence map›Paper›PMID 29467754›Full record

ArticleFrontiers in immunology2018

Immune Repertoire Sequencing Using Molecular Identifiers Enables Accurate Clonality Discovery and Clone Size Quantification.

Ke-Yue Ma, Chenfeng He, Ben S Wendel, Chad M Williams, Jun Xiao, Hui Yang, Ning Jiang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

40 citing papers in PubMed, 57 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

7 authors at 2 institutions in 2 countries.

Ke-Yue MaInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, United States.
Chenfeng HeDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, United States.
Ben S WendelMcKetta Department of Chemical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, United States.
Chad M WilliamsDepartment of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX, United States.
Jun XiaoImmuDX, LLC, Austin, TX, United States.
Hui YangSchool of Life Sciences, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
Ning JiangInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, United States.
The University of Texas at Austin · USNorthwestern Polytechnical University · CN

Funding

Genomic Approaches to the T Cell Receptor Repertoire during AgingR00AG040149 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI JIANG, NING JENNY · 2013 to 2015
$740k
BioMark HD System for High-Throughput Genomic StudiesS10OD020072 · OD · UNIVERSITY OF TEXAS AT AUSTIN · PI JIANG, NING JENNY · 2015 to 2015
$489k
NIA NIH HHS R00 AG040149NIH HHS S10 OD020072
6 · The paper itself

Abstract

Unique molecular identifiers (MIDs) have been demonstrated to effectively improve immune repertoire sequencing (IR-seq) accuracy, especially to identify somatic hypermutations in antibody repertoire sequencing. However, evaluating the sensitivity to detect rare T cells and the degree of clonal expansion in IR-seq has been difficult due to the lack of knowledge of T cell receptor (TCR) RNA molecule copy number and a generalized approach to estimate T cell clone size from TCR RNA molecule quantification. This limited the application of TCR repertoire sequencing (TCR-seq) in clinical settings, such as detecting minimal residual disease in lymphoid malignancies after treatment, evaluating effectiveness of vaccination and assessing degree of infection. Here, we describe using an MID Clustering-based IR-Seq (MIDCIRS) method to quantitatively study TCR RNA molecule copy number and clonality in T cells. First, we demonstrated the necessity of performing MID sub-clustering to eliminate erroneous sequences. Further, we showed that MIDCIRS enables a sensitive detection of a single cell in as many as one million naïve T cells and an accurate estimation of the degree of T cell clonal expression. The demonstrated accuracy, sensitivity, and wide dynamic range of MIDCIRS TCR-seq provide foundations for future applications in both basic research and clinical settings.

Indexed as

Base SequenceCells, CulturedClonal Selection, Antigen-MediatedClone CellsGene DosageHematologic DiseasesHumansReceptors, Antigen, T-CellRNA, MessengerSequence Analysis, RNASomatic Hypermutation, ImmunoglobulinT-LymphocytesReceptors, Antigen, T-CellRNA, MessengerCMV-specific T cellsMID clustering-based IR-Seq TCR repertoire sequencingmolecular identifiersnaïve T cellssub-clustering

Identifiers

PMID29467754
PMCPMC5808239
OpenAlexW2789751302

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.