Evidence map›Paper›PMID 29698522›Full record

ArticlePloS one2018

Massively parallel sequencing of micro-manipulated cells targeting a comprehensive panel of disease-causing genes: A comparative evaluation of upstream whole-genome amplification methods.

Lieselot Deleye, Yannick Gansemans, Dieter De Coninck, Filip Van Nieuwerburgh, Dieter Deforce

Abstract read
In one paragraph

Article in PloS one, 2018. 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
–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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Genomic Analysis of Circulating Tumor Cells at the Single-Cell Level.The Journal of molecular diagnostics : JMD · 2020
    Article
  7. 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

5 authors.

Lieselot DeleyeLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.
Yannick GansemansLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.ORCID 0000-0001-5018-044X
Dieter De ConinckLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.
Filip Van NieuwerburghLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.
Dieter DeforceLaboratory of Pharmaceutical Biotechnology, Ghent University, Ghent, Belgium.ORCID 0000-0002-0635-661X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single Gene Disorders (SGD) are still routinely diagnosed using PCR-based assays that need to be developed and validated for each individual disease-specific gene fragment. The TruSight One sequencing panel currently covers 12 Mb of genomic content, including 4813 genes associated with a clinical phenotype. When only a limited number of cells are available, whole genome amplification (WGA) is required prior to DNA target capture techniques such as the TruSight One panel. In this study, we compared 4 different WGA methods in combination with the TruSight One sequencing panel to perform single nucleotide polymorphism (SNP) genotyping starting from 3 micro-manipulated cells. This setting simulates clinical settings such as day-5 blastocyst biopsy for Preimplantation Genetic Testing (PGT), liquid biopsy of circulating tumor cells (CTCs) and cancer-cell profiling. Bulk cell samples were processed alongside these WGA samples to serve as a performance reference. Target coverage, coverage uniformity and SNP calling accuracy obtained using any of the WGA, is inferior to the results obtained on bulk cell samples. However, results after REPLI-g come close. Compared to the other WGA methods, the method using REPLI-g WGA results in a better coverage of the targeted genomic regions with a more uniform read depth. Consequently, this method also results in a more accurate SNP calling and could be considered for clinical genotyping of a limited number of cells.

Indexed as

Genome, HumanNucleic Acid Amplification TechniquesPolymorphism, Single NucleotideCell LineDNADNA Copy Number VariationsGene LibraryGenomicsGenotypeHigh-Throughput Nucleotide SequencingHumansMaleNeoplastic Cells, CirculatingPolymerase Chain ReactionSequence Analysis, DNASingle-Cell AnalysisDNA

Identifiers

PMID29698522
PMCPMC5919401

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.