Evidence map›Paper›PMID 32527930›Full record

ArticleJournal for immunotherapy of cancer2020

Nanopore sequencing as a scalable, cost-effective platform for analyzing polyclonal vector integration sites following clinical T cell therapy.

Ping Zhang, Devika Ganesamoorthy, Son Hoang Nguyen, Raymond Au, Lachlan J Coin, Siok-Keen Tey

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Ping ZhangDepartment of Immunology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.ORCID 0000-0002-0311-6725
Devika GanesamoorthyInstitute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0001-8149-6703
Son Hoang NguyenInstitute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0003-3802-908X
Raymond AuDepartment of Immunology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
Lachlan J CoinInstitute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia.ORCID 0000-0002-4300-455X
Siok-Keen TeyDepartment of Immunology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia siok.tey@qimrberghofer.edu.au.ORCID 0000-0001-9567-382X
The University of Queensland · AUQIMR Berghofer Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnalysis of vector integration sites in gene-modified cells can provide critical information on clonality and potential biological impact on nearby genes. Current short-read next-generation sequencing methods require specialized instruments and large batch runs.

methodsWe used nanopore sequencing to analyze the vector integration sites of T cells transduced by the gammaretroviral vector, SFG.iCasp9.2A.ΔCD19. DNA from oligoclonal cell lines and polyclonal clinical samples were restriction enzyme digested with two 6-cutters,

resultsBoth inverse PCR and cassette ligation PCR could successfully amplify flanking genomic DNA, with cassette ligation PCR showing less bias. The 4.8 million raw reads were grouped into 12,186 clusters and 6410 clones. The 3'long terminal repeat (LTR)-genome junction could be resolved within a 5-nucleotide span for a majority of clusters and within one nucleotide span for clusters with ≥5 reads. The chromosomal distributions of the insertional sites and their predilection for regions proximate to transcription start sites were consistent with previous reports for gammaretroviral vector integrants as analyzed by short-read next-generation sequencing.

conclusionOur study shows that it is feasible to use nanopore sequencing to map polyclonal vector integration sites. The assay is scalable and requires minimum capital, which together enable cost-effective and timely analysis. Further refinement is required to reduce amplification bias and improve single nucleotide resolution.

Indexed as

Cell- and Tissue-Based TherapyCell EngineeringHigh-Throughput Nucleotide SequencingHumansNanopore Sequencingcell engineeringgeneticsimmunologyimmunotherapy, adoptiveoncology

Identifiers

PMID32527930
PMCPMC7292043
OpenAlexW3035080022

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.