Long-read RNA sequencing of bone marrow samples from pediatric acute lymphoblastic leukemia patients at diagnosis
Pediatric B-cell acute lymphoblastic leukemia (B-ALL) exhibits substantial genetic and transcriptional heterogeneity that may influence treatment response and disease progression. In particular, alternative splicing and transcript isoform diversity in genes encoding therapeutic targets could contribute to variability in antigen expression and resistance to immunotherapy. Long-read sequencing technologies provide the opportunity to characterize full-length transcripts and identify transcript variants that are difficult to resolve using conventional short-read approaches. Within the framework of the ALLIC-GATLA-2010 clinical protocol in Argentina, diagnostic bone marrow samples from pediatric B-ALL patients were analyzed using Oxford Nanopore Technologies (ONT) long-read sequencing. Whole-transcriptome and targeted sequencing data were generated to characterize transcript isoforms, evaluate molecular classification, and investigate the transcriptional heterogeneity of therapeutic target genes, including MS4A1 (CD20) and CD19. This dataset provides a resource for studying transcript diversity and its potential implications for targeted therapies in pediatric B-ALL.
Pediatric B-cell acute lymphoblastic leukemia (B-ALL) exhibits substantial genetic and transcriptional heterogeneity that may influence treatment response and disease progression. In particular, alternative splicing and transcript isoform diversity in genes encoding therapeutic targets could contribute to variability in antigen expression and resistance to immunotherapy. Long-read sequencing technologies provide the opportunity to characterize full-length transcripts and identify transcript variants that are difficult to resolve using conventional short-read approaches. Within the framework of the ALLIC-GATLA-2010 clinical protocol in Argentina, diagnostic bone marrow samples from pediatric B-ALL patients were analyzed using Oxford Nanopore Technologies (ONT) long-read sequencing. Whole-transcriptome and targeted sequencing data were generated to characterize transcript isoforms, evaluate molecular classification, and investigate the transcriptional heterogeneity of therapeutic target genes, including MS4A1 (CD20) and CD19. This dataset provides a resource for studying transcript diversity and its potential implications for targeted therapies in pediatric B-ALL.
IQUIBICEN-CONICET-UBA