Evidence map›Paper›PMID 32702062›Full record

ArticlePloS one2020

Dissecting efficiency of a 5' rapid amplification of cDNA ends (5'-RACE) approach for profiling T-cell receptor beta repertoire.

Yu-Hung Lin, Sheng-Jou Hung, Yi-Lin Chen, Cheng-Han Lin, Te-Fang Kung, Yi-Chun Yeh, Joseph T Tseng, Tsunglin Liu

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. T-Cell Receptor Repertoire Sequencing in the Era of Cancer Immunotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  10. Review
  11. Article
  12. Article
  13. 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

8 authors.

Yu-Hung LinDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan, Taiwan.
Sheng-Jou HungDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan, Taiwan.
Yi-Lin ChenMolecular Diagnostic Laboratory, Department of Pathology, National Cheng Kung University Hospital, Tainan, Taiwan.
Cheng-Han LinDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan, Taiwan.
Te-Fang KungDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan, Taiwan.
Yi-Chun YehDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan, Taiwan.
Joseph T TsengDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan, Taiwan.
Tsunglin LiuDepartment of Biotechnology and Bioindustry Sciences, National Cheng Kung University, Tainan, Taiwan.ORCID 0000-0002-1026-1605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep sequencing of T-cell receptor (TCR) genes is powerful at profiling immune repertoire. To prepare a TCR sequencing library, multiplex polymerase chain reaction (mPCR) is widely applied and is highly efficient. That is, most mPCR products contain the region critical for antigen recognition, which also indicates regular V(D)J recombination. Multiplex PCR, however, may suffer from primer bias. A promising alternative is 5'-RACE, which avoids primer bias by applying only one primer pair. In 5'-RACE data, however, non-regular V(D)J recombination (e.g., TCR sequences without a V gene segment) has been observed and the frequency varies (30-80%) between studies. This suggests that the cause of or how to reduce non-regular TCR sequences is not yet well known by the science community. Although it is possible to speculate the cause by comparing the 5'-RACE protocols, careful experimental confirmation is needed and such a systematic study is still not available. Here, we examined the 5'-RACE protocol of a commercial kit and demonstrated how a modification increased the fraction of regular TCR-β sequences to >85%. We also found a strong linear correlation between the fraction of short DNA fragments and the percentage of non-regular TCR-β sequences, indicating that the presence of short DNA fragments in the library was the main cause of non-regular TCR-β sequences. Therefore, thorough removal of short DNA fragments from a 5'-RACE library is the key to high data efficiency. We highly recommend conducting a fragment length analysis before sequencing, and the fraction of short DNA fragments can be used to estimate the percentage of non-regular TCR sequences. As deep sequencing of TCR genes is still relatively expensive, good quality control should be valuable.

Indexed as

Amino Acid SequenceBase SequenceDNADNA, ComplementaryDNA FragmentationGene Rearrangement, beta-Chain T-Cell Antigen ReceptorHumansReceptors, Antigen, T-Cell, alpha-betaDNADNA, ComplementaryReceptors, Antigen, T-Cell, alpha-beta

Identifiers

PMID32702062
PMCPMC7377388

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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.