ArticleEMBO reports2018
Functional compensation between hematopoietic stem cell clones
Article in EMBO reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Mapping Hematopoietic Fate after Transplantation.Stem cell reviews and reports · 2025Review
- Advancements in prospective single-cell lineage barcoding and their applications in research.Genome research · 2024Review
- Age-associated imbalance in immune cell regeneration varies across individuals and arises from a distinct subset of stem cells.Cellular & molecular immunology · 2024Article
- Label-free metabolic optical biomarkers track stem cell fate transition in real time.Science advances · 2024Article
- Quantitative association between gene expression and blood cell production of individual hematopoietic stem cells in mice.Science advances · 2024Article
- Lineage tracking to reveal the fate of hematopoietic stem cells influenced by Flk2Experimental & molecular medicine · 2023Article
- Stem Cells, Hematopoiesis and Lineage Tracing: Transplantation-Centric Views and Beyond.Frontiers in cell and developmental biology · 2022Review
- Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analyses.Nature communications · 2021Article
- Longitudinal clonal tracking in humanized mice reveals sustained polyclonal repopulation of gene-modified human-HSPC despite vector integration bias.Stem cell research & therapy · 2021Article
- Long-acting PGE2 and Lisinopril Mitigate H-ARS.Radiation research · 2021Article
- Small RNA sequencing reveals a novel tsRNA-06018 playing an important role during adipogenic differentiation of hMSCs.Journal of cellular and molecular medicine · 2020Article
- Clonal-level lineage commitment pathways of hematopoietic stem cells in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
In most organ systems, regeneration is a coordinated effort that involves many stem cells, but little is known about whether and how individual stem cells compensate for the differentiation deficiencies of other stem cells. Functional compensation is critically important during disease progression and treatment. Here, we show how individual hematopoietic stem cell (HSC) clones heterogeneously compensate for the lymphopoietic deficiencies of other HSCs in a mouse. This compensation rescues the overall blood supply and influences blood cell types outside of the deficient lineages in distinct patterns. We find that highly differentiating HSC clones expand their cell numbers at specific differentiation stages to compensate for the deficiencies of other HSCs. Some of these clones continue to expand after transplantation into secondary recipients. In addition, lymphopoietic compensation involves gene expression changes in HSCs that are characterized by increased lymphoid priming, decreased myeloid priming, and HSC self-renewal. Our data illustrate how HSC clones coordinate to maintain the overall blood supply. Exploiting the innate compensation capacity of stem cell networks may improve the prognosis and treatment of many diseases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.