Single-Cell Mapping of tRNA Expression Dynamics Across Human Hematopoiesis
Külp, M.; Osuna Lopez, M.; Wiegand, A.-S.; Perner, S. P.; Cetin, R.; Matthess, Y.; Günther, S.; Schmachtel, T.; Schultheis, H.; Looso, M.; Kaulich, M.; Häupl, B.; Oellerich, T.; Benes, V.; Bonig, H.; Rieger, M. A.
Show abstract
How transfer RNA (tRNA) expression changes as hematopoietic stem cells are specified into human blood cell types remains unknown. tRNAs translate the 64-codon genetic code into the 21-amino acid protein code, and their relative abundance can influence proteomic output. Here, we introduce simultaneous single-cell tRNA and mRNA sequencing (sc-STM-seq), a scalable, high-throughput approach for profiling tRNAs alongside mRNA transcriptomes in individual cells. Applying sc-STM-seq to human bone marrow, we map tRNA expression and splicing across hematopoietic differentiation trajectories and identify tRNAs associated with stemness, differentiation, and specific cell lineages. Our study provides an atlas of the hematopoietic tRNA landscape and establishes tRNA expression as a previously underappreciated layer of cellular heterogeneity during human blood cell development.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Dissecting splicing decisions and cell-to-cell variability with designed sequence libraries 96%
- N6-methyladenosine mRNA marking promotes selective translation of regulons required for human erythropoiesis 95%
- Single-Cell Omics for Transcriptome CHaracterization (SCOTCH): isoform-level characterization of gene expression through long-read single-cell RNA sequencing 95%
Similar papers in this journal
Similar papers in this journal
- High throughput droplet single-cell Genotyping of Transcriptomes (GoT) reveals the cell identity dependency of the impact of somatic mutations 97%
- Clonal hematopoiesis is driven by aberrant activation of TCL1A 94%
- Somatic epimutations enable single-cell lineage tracing in native hematopoiesis across the murine and human lifespan 94%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.