Third‐Generation Nanopore Sequencing for Post‐Transplant Chimerism Monitoring

ABSTRACT Post‐transplant chimerism monitoring is a cornerstone of hematopoietic stem cell transplantation (HSCT) follow‐up, providing early and clinically actionable information on engraftment, graft rejection and disease relapse. Analytical strategies have progressively evolved from STR‐based assays towards more sensitive molecular approaches, including qPCR, dPCR and next‐generation sequencing (NGS). Although NGS offers high analytical robustness and multiplexing capacity, its routine use remains limited by turnaround time and batch‐dependent workflows, restricting its applicability in urgent clinical contexts. Third‐generation sequencing (TGS), based on real‐time DNA sequencing, emerges as a complementary approach combining molecular sensitivity with enhanced operational flexibility. We evaluated ONtrack (Eurobio/GenDx), the first commercial TGS‐based assay for post‐transplant chimerism quantification using Oxford Nanopore Technologies, currently available through an early access program. Thirty samples were analysed, including external quality assessment materials, manufacturer controls and clinical specimens from three transplanted patients. Sample types included whole blood, bone marrow and CD3 + ‐sorted cell fractions. ONtrack results were compared with routinely used methods (qPCR, dPCR and NGS). ONtrack demonstrated excellent analytical performance, with strong correlations to qPCR ( R 2 = 0.955), dPCR ( R 2 = 0.990) and NGS ( R 2 = 0.998). Mixed chimerism was reliably detected down to 0.5%, and Bland–Altman analyses confirmed good agreement across methods. Z‐score analysis showed satisfactory performance for all evaluated samples. Notably, the complete analytical workflow could be completed in approximately 3 h for a single sample, with fully automated data processing and integrated quality controls. Beyond analytical accuracy, ONtrack offers high operational versatility, enabling both urgent single‐sample testing and batch analyses using a standardised workflow. Although the limited number of markers may restrict detection of ultra‐low microchimerism, TGS represents a valuable complementary solution for early post‐transplant monitoring, particularly in decentralised laboratory settings.

Authors

Institutions

Publication Details

Journal
HLA
Published
2026-05-28
DOI
https://doi.org/10.1111/tan.70770
Primary Topic
Hematopoietic Stem Cell Transplantation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Third‐Generation Nanopore Sequencing for Post‐Transplant Chimerism Monitoring

Agnès Basire, Sandrine Maioli, Vincent Barlogis, Pascal Pedini et al.
HLA
Hematopoietic Stem Cell Transplantation
article

Third‐Generation Nanopore Sequencing for Post‐Transplant Chimerism Monitoring

Agnès Basire, Sandrine Maioli, Vincent Barlogis, Pascal Pedini, Coralie Frassati, Nicem Cherouat, C Picard, Emma Rateau
article en

Abstract

ABSTRACT Post‐transplant chimerism monitoring is a cornerstone of hematopoietic stem cell transplantation (HSCT) follow‐up, providing early and clinically actionable information on engraftment, graft rejection and disease relapse. Analytical strategies have progressively evolved from STR‐based assays towards more sensitive molecular approaches, including qPCR, dPCR and next‐generation sequencing (NGS). Although NGS offers high analytical robustness and multiplexing capacity, its routine use remains limited by turnaround time and batch‐dependent workflows, restricting its applicability in urgent clinical contexts. Third‐generation sequencing (TGS), based on real‐time DNA sequencing, emerges as a complementary approach combining molecular sensitivity with enhanced operational flexibility. We evaluated ONtrack (Eurobio/GenDx), the first commercial TGS‐based assay for post‐transplant chimerism quantification using Oxford Nanopore Technologies, currently available through an early access program. Thirty samples were analysed, including external quality assessment materials, manufacturer controls and clinical specimens from three transplanted patients. Sample types included whole blood, bone marrow and CD3 + ‐sorted cell fractions. ONtrack results were compared with routinely used methods (qPCR, dPCR and NGS). ONtrack demonstrated excellent analytical performance, with strong correlations to qPCR ( R 2 = 0.955), dPCR ( R 2 = 0.990) and NGS ( R 2 = 0.998). Mixed chimerism was reliably detected down to 0.5%, and Bland–Altman analyses confirmed good agreement across methods. Z‐score analysis showed satisfactory performance for all evaluated samples. Notably, the complete analytical workflow could be completed in approximately 3 h for a single sample, with fully automated data processing and integrated quality controls. Beyond analytical accuracy, ONtrack offers high operational versatility, enabling both urgent single‐sample testing and batch analyses using a standardised workflow. Although the limited number of markers may restrict detection of ultra‐low microchimerism, TGS represents a valuable complementary solution for early post‐transplant monitoring, particularly in decentralised laboratory settings.

HLAVol. 107(6)
Centre National de la Recherche Scientifique (FR), Aix-Marseille Université (FR), Assistance Publique Hôpitaux de Marseille (FR), Établissement Français du Sang (FR), Hôpital de la Timone (FR)
Openalex Percentile: Top 6%
Hematopoietic Stem Cell Transplantation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.