Evidence map›Paper›PMID 29494651›Full record

ArticlePloS one2018

A streamlined workflow for single-cells genome-wide copy-number profiling by low-pass sequencing of LM-PCR whole-genome amplification products.

Alberto Ferrarini, Claudio Forcato, Genny Buson, Paola Tononi, Valentina Del Monaco, Mario Terracciano, Chiara Bolognesi, Francesca Fontana, Gianni Medoro, Rui Neves and 9 more

Open access · goldAbstract 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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

21 citing papers in PubMed, 29 citations in OpenAlex.

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  18. DEPArray™ system: An automatic image-based sorter for isolation of pure circulating tumor cells.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
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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

19 authors at 6 institutions in 3 countries.

Alberto FerrariniMenarini Silicon Biosystems spa, Bologna, Italy.
Claudio ForcatoMenarini Silicon Biosystems spa, Bologna, Italy.
Genny BusonMenarini Silicon Biosystems spa, Bologna, Italy.
Paola TononiMenarini Silicon Biosystems spa, Bologna, Italy.
Valentina Del MonacoMenarini Silicon Biosystems spa, Bologna, Italy.
Mario TerraccianoMenarini Silicon Biosystems spa, Bologna, Italy.
Chiara BolognesiMenarini Silicon Biosystems spa, Bologna, Italy.
Francesca FontanaMenarini Silicon Biosystems spa, Bologna, Italy.
Gianni MedoroMenarini Silicon Biosystems spa, Bologna, Italy.
Rui NevesDepartment of General, Visceral and Pediatric Surgery, Medical Faculty, University Hospital of the Heinrich- Heine-University Düsseldorf, Düsseldorf, Germany.
Birte MöhlendickDepartment of General, Visceral and Pediatric Surgery, Medical Faculty, University Hospital of the Heinrich- Heine-University Düsseldorf, Düsseldorf, Germany.
Karim RihawiUnità Operativa di Oncologia Medica, Policlinico Sant'Orsola - Malpighi, Bologna, Italy.
Andrea ArdizzoniUnità Operativa di Oncologia Medica, Policlinico Sant'Orsola - Malpighi, Bologna, Italy.
Semini SumanasuriyaThe Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom.
Penny FlohrThe Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom.
Maryou LambrosThe Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom.
Johann de BonoThe Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom.
Nikolas H StoeckleinDepartment of General, Visceral and Pediatric Surgery, Medical Faculty, University Hospital of the Heinrich- Heine-University Düsseldorf, Düsseldorf, Germany.
Nicolò ManaresiMenarini Silicon Biosystems spa, Bologna, Italy.
Menarini Group (Italy) · ITRoyal Marsden NHS Foundation Trust · GBHeinrich Heine University Düsseldorf · DEPoliclinico S.Orsola-Malpighi · ITDüsseldorf University Hospital · DEInstitute of Cancer Research · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosomal instability and associated chromosomal aberrations are hallmarks of cancer and play a critical role in disease progression and development of resistance to drugs. Single-cell genome analysis has gained interest in latest years as a source of biomarkers for targeted-therapy selection and drug resistance, and several methods have been developed to amplify the genomic DNA and to produce libraries suitable for Whole Genome Sequencing (WGS). However, most protocols require several enzymatic and cleanup steps, thus increasing the complexity and length of protocols, while robustness and speed are key factors for clinical applications. To tackle this issue, we developed a single-tube, single-step, streamlined protocol, exploiting ligation mediated PCR (LM-PCR) Whole Genome Amplification (WGA) method, for low-pass genome sequencing with the Ion Torrent™ platform and copy number alterations (CNAs) calling from single cells. The method was evaluated on single cells isolated from 6 aberrant cell lines of the NCI-H series. In addition, to demonstrate the feasibility of the workflow on clinical samples, we analyzed single circulating tumor cells (CTCs) and white blood cells (WBCs) isolated from the blood of patients affected by prostate cancer or lung adenocarcinoma. The results obtained show that the developed workflow generates data accurately representing whole genome absolute copy number profiles of single cell and allows alterations calling at resolutions down to 100 Kbp with as few as 200,000 reads. The presented data demonstrate the feasibility of the Ampli1™ WGA-based low-pass workflow for detection of CNAs in single tumor cells which would be of particular interest for genome-driven targeted therapy selection and for monitoring of disease progression.

Indexed as

AdenocarcinomaAdenocarcinoma of LungCell Line, TumorDNA Copy Number VariationsFemaleHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMaleNeoplasmsNeoplastic Cells, CirculatingPolymerase Chain ReactionProstatic NeoplasmsSingle-Cell AnalysisWhole Genome SequencingWorkflow

Identifiers

PMID29494651
PMCPMC5832318
OpenAlexW2790820523

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.