AI Helps Identify Regulatory Hub for Aging in Hematopoietic Stem Cells
en-GBde-DEes-ESfr-FR

AI Helps Identify Regulatory Hub for Aging in Hematopoietic Stem Cells

25/08/2026 Tohoku University

Stem cells possess the unique ability to self-renew and transform into different types of cells. For example, rare hematopoietic stem cells found in bone marrow can become any type of blood cell. Throughout life, they can produce new blood cells to replace those lost because of infection, bleeding, or chemotherapy.

However, as people and animals age, hematopoietic stem cells become less effective. Their numbers increase, but their ability to rebuild the blood system declines. These changes may contribute to anemia, reduced immunity, blood clots, and age-related blood disorders. Researchers at Tohoku University used AI to predict which genes may lead to aging in stem cells, and subsequently tested these candidates in animal studies. This research provides a clearer molecular framework for understanding why blood production becomes unbalanced with age, shining light on an issue that affects everyone as they grow older.

The researchers analyzed individual hematopoietic stem cells from mice of different ages. They found that aged stem cells simultaneously activate two gene programs: one that preserves a highly immature stem-cell state and another that prepares the cells to produce platelets. These changes began gradually, with the immature program increasing before birth and platelet-related genes increasing after birth. This suggests that stem-cell aging develops continuously rather than appearing suddenly in old age.

To identify the genes controlling this process, the team used Geneformer, an AI model trained on gene-expression data from about 30 million cells. They further trained the model using approximately 160,000 young and aged blood stem and progenitor cells. The AI predicted which genes could shift young stem cells toward an aged state.

"AI helped us find 143 promising candidates, which we then screened in the lab and narrowed down to a key control point of aging: a gene-regulating factor called Pbx1," explains Keiyo Takubo (Tohoku University).

In aged stem cells, Pbx1 was strongly connected to genes involved in stem-cell immaturity, aging, and platelet production. Increasing Pbx1 in young stem cells reproduced many features of aged cells. Up to 73.3% of the genes activated by Pbx1 were also increased in aged stem cells. After transplantation into mice, these cells produced fewer red blood cells and showed a relative increase in platelet production. They proposed that part of the reason for this reduced red blood cell development was Pbx suppressing another gene called Gata1.

"Aged blood stem cells are often described simply as cells that have lost function," says Takubo. "But our findings show that they aren't a weaker version. They just enter a different, stable state with their own tendencies."

These findings - combining AI prediction, large-scale screening, multi-omics analysis, and transplantation experiments - reveal key points of one of the pathways that leads to aging in hematopoietic stem cells. Future studies will determine whether the same mechanism operates in humans and whether it contributes to anemia, thrombosis, clonal hematopoiesis, or blood cancers.

The findings were published in Science Advances on August 22, 2026.
Title: Geneformer-guided multiomics integration identifies Pbx1 as a network hub of hematopoietic stem cell aging

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

Journal: Science Advances

DOI: 10.1126/sciadv.aeb1346
Archivos adjuntos
  • Young hematopoietic stem cells maintain a balance between self-renewal and the production of mature blood cells. In contrast, aged hematopoietic stem cells show reduced production of mature blood cells, including red blood cells and lymphocytes, while the number of stem cells increases. ©Keiyo Takubo
  • An AI model Geneformer was fine-tuned using multiple datasets of immature hematopoietic cells from young and old mice. ©Hiroshi Kobayashi et al., 2026, Science Advances, CC BY 4.0
  • Hematopoietic stem cells form a distinct gene regulatory network with aging. Among the genes characteristic of aged hematopoietic stem cells, Pbx1 contributes to reduced red blood cell production and relative enhancement of hematopoietic stem cell and megakaryocyte gene programs through suppression of Gata1 and activation of Group 1 genes.©Hiroshi Kobayashi et al., 2026, Science Advances, CC BY 4.0
25/08/2026 Tohoku University
Regions: Asia, Japan
Keywords: Applied science, Artificial Intelligence, Science, Life Sciences, Health, Medical

Disclaimer: AlphaGalileo is not responsible for the accuracy of content posted to AlphaGalileo by contributing institutions or for the use of any information through the AlphaGalileo system.

Testimonios

We have used AlphaGalileo since its foundation but frankly we need it more than ever now to ensure our research news is heard across Europe, Asia and North America. As one of the UK’s leading research universities we want to continue to work with other outstanding researchers in Europe. AlphaGalileo helps us to continue to bring our research story to them and the rest of the world.
Peter Dunn, Director of Press and Media Relations at the University of Warwick
AlphaGalileo has helped us more than double our reach at SciDev.Net. The service has enabled our journalists around the world to reach the mainstream media with articles about the impact of science on people in low- and middle-income countries, leading to big increases in the number of SciDev.Net articles that have been republished.
Ben Deighton, SciDevNet
AlphaGalileo is a great source of global research news. I use it regularly.
Robert Lee Hotz, LA Times

Trabajamos en estrecha colaboración con...


  • The Research Council of Norway
  • SciDevNet
  • Swiss National Science Foundation
  • iesResearch
Copyright 2026 by DNN Corp Terms Of Use Privacy Statement