Geneformer-guided multiomics integration identifies Pbx1 as a network hub of hematopoietic stem cell aging

Hematopoietic stem cells (HSCs) constitute an organized hematopoietic system that undergoes age-related alterations, including increased platelet production and decreased erythropoiesis. The fundamental mechanisms driving these shifts remain incompletely understood. We used single-cell RNA sequencing data to show that old HSCs contain two distinct transcriptional programs: one shared with megakaryocytes and the other reflecting the most primitive HSC state. Developmental time-series profiling further suggests that the acquisition of these programs begins early in life, with the primitive module rising prenatally and megakaryocytic priming emerging after birth. Using a fine-tuned Geneformer (transformer-based deep learning model) to capture higher-order differences between young and old HSCs, coupled with transcriptomic and epigenetic profiling, as well as transcription factor screens, we identified Pbx1 as a key regulator of these age-related transcriptional and differentiation changes. Specifically, Pbx1 suppresses erythroid differentiation by repressing Gata1 expression. These findings provide insight into HSC aging and may inform approaches to modulate age-associated HSC dysfunction.

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Publication Details

Journal
Science Advances
Published
2026-08-21
DOI
https://doi.org/10.1126/sciadv.aeb1346
Primary Topic
Zebrafish Biomedical Research Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Geneformer-guided multiomics integration identifies Pbx1 as a network hub of hematopoietic stem cell aging

Shuhei Koide, Hiroshi Kobayashi, Miho Haraguchi, Atsushi Iwama et al.
Science Advances
Zebrafish Biomedical Research Applications
article

Geneformer-guided multiomics integration identifies Pbx1 as a network hub of hematopoietic stem cell aging

Shuhei Koide, Hiroshi Kobayashi, Miho Haraguchi, Atsushi Iwama, Seishi Ogawa, Keiyo Takubo, Takayoshi Asakura, Motohiko Oshima, Shinpei Tamaki, Toshio Miyata, S. Watanuki, Naoya Takayama, Yusuke Shiozawa, Takayuki Morikawa
article en

Abstract

Hematopoietic stem cells (HSCs) constitute an organized hematopoietic system that undergoes age-related alterations, including increased platelet production and decreased erythropoiesis. The fundamental mechanisms driving these shifts remain incompletely understood. We used single-cell RNA sequencing data to show that old HSCs contain two distinct transcriptional programs: one shared with megakaryocytes and the other reflecting the most primitive HSC state. Developmental time-series profiling further suggests that the acquisition of these programs begins early in life, with the primitive module rising prenatally and megakaryocytic priming emerging after birth. Using a fine-tuned Geneformer (transformer-based deep learning model) to capture higher-order differences between young and old HSCs, coupled with transcriptomic and epigenetic profiling, as well as transcription factor screens, we identified Pbx1 as a key regulator of these age-related transcriptional and differentiation changes. Specifically, Pbx1 suppresses erythroid differentiation by repressing Gata1 expression. These findings provide insight into HSC aging and may inform approaches to modulate age-associated HSC dysfunction.

Science AdvancesVol. 12(34)
Chiba University (JP), Tohoku University (JP), Kyoto University (JP), Innovation Center of NanoMedicine (JP), National Center for Global Health and Medicine (JP), Kanagawa Industrial Technology Center (JP), The University of Tokyo (JP), Nippon Medical School (JP)
Takeda Science Foundation, Cell Science Research Foundation, Uehara Memorial Foundation, Japan Agency for Medical Research and Development, National Center for Global Health and Medicine, Kanagawa Institute of Industrial Science and Technology, Japan Health Research Promotion Bureau, Kato Memorial Bioscience Foundation, SENSHIN Medical Research Foundation, Waksman Foundation of Japan, Chemo-Sero-Therapeutic Research Institute
Openalex Percentile: Top 30%
Zebrafish Biomedical Research Applications
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