Evidence map›Paper›PMID 27499173›Full record

ArticleMolecular medicine reports2016

A technical application of quantitative next generation sequencing for chimerism evaluation.

Michelangelo Aloisio, Danilo Licastro, Luciana Caenazzo, Valentina Torboli, Angela D'Eustacchio, Giovanni Maria Severini, Emmanouil Athanasakis

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-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

18 citing papers in PubMed, 38 citations in OpenAlex.

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  14. Next-Generation Sequencing Technologies in Blood Group Typing.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2020
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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

7 authors at 4 institutions in 1 country.

Michelangelo AloisioDepartment of Life Sciences, University of Trieste, I‑34127 Trieste, Italy.
Danilo LicastroCluster in Biomedicine, CBM S.c.r.l., Bioinformatic Services, Area Science Park, I‑34149 Basovizza, Italy.
Luciana CaenazzoDepartment of Molecular Medicine, University of Padova, I‑35121 Padova, Italy.
Valentina TorboliDepartment of Life Sciences, University of Trieste, I‑34127 Trieste, Italy.
Angela D'EustacchioDepartment of Advanced Diagnostic and Clinical Trials, Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', I‑34137 Trieste, Italy.
Giovanni Maria SeveriniDepartment of Advanced Diagnostic and Clinical Trials, Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', I‑34137 Trieste, Italy.
Emmanouil AthanasakisDepartment of Advanced Diagnostic and Clinical Trials, Institute for Maternal and Child Health, IRCCS 'Burlo Garofolo', I‑34137 Trieste, Italy.
IRCCS Materno Infantile Burlo Garofolo · ITUniversity of Trieste · ITCluster in Biomedicine · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, the most common genetic diagnostic method for chimerism evaluation following hematopoietic stem cell transplantation is microsatellite analysis by capillary electrophoresis. The main objective was to establish, through repeated analysis over time, if a complete chimerism was present, or if the mixed chimerism was stable, increasing or decreasing over time. Considering the recent introduction of next generation sequencing (NGS) in clinical diagnostics, a detailed study evaluating an NGS protocol was conducted, coupled with a custom bioinformatics pipeline, for chimerism quantification. Based on the technology of Ion AmpliSeq, a 44‑amplicon custom chimerism panel was designed, and a custom bioinformatics pipeline dedicated to the genotyping and quantification of NGS data was coded. The custom chimerism panel allowed identification of an average of 16 informative recipient alleles. The limit of detection of the protocol was fixed at 1% due to the NGS background (<1%). The protocol followed the standard Ion AmpliSeq library preparation and Ion Torrent Personal Genome Machine guidelines. Overall, the present study added to the scientific literature, identifying novel technical details for a possible future application of NGS for chimerism quantification.

Indexed as

ChimerismAdultFemaleGenomicsGenotypeGenotyping TechniquesHigh-Throughput Nucleotide SequencingHumansMaleMicrosatellite RepeatsMiddle AgedOligonucleotide Array Sequence AnalysisSequence Analysis, DNAYoung Adult

Identifiers

PMID27499173
PMCPMC5042788
OpenAlexW2496577225

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.