Shwachman-Diamond syndrome (SDS) is a rare and clinically heterogeneous bone marrow (BM) failure syndrome caused by mutations in the Shwachman-Bodian-Diamond syndrome (SBDS) gene. Although SDS was described more than 50 years ago, its molecular pathogenesis is poorly understood due, in part, to the rarity and heterogeneity of the affected hematopoietic progenitors. To address this, we used single-cell RNA sequencing to profile scant hematopoietic stem and progenitor cells from patients with SDS. We generated a single-cell map of early lineage commitment and found that SDS hematopoiesis was left-shifted with selective loss of granulocyte-monocyte progenitors. Transcriptional targets of transforming growth factor beta (TGF-β) were dysregulated in SDS hematopoietic stem cells and multipotent progenitors, but not in lineage-committed progenitors. TGF-β inhibitors (AVID200 and SD208) increased hematopoietic colony formation of SDS patient BM. Finally, TGF-β3 and other TGF-β pathway members were elevated in SDS patient blood plasma. These data establish the TGF-β pathway as a candidate biomarker and therapeutic target in SDS and translate insights from single-cell biology into a potential therapy.
Cailin E. Joyce, Assieh Saadatpour, Melisa Ruiz-Gutierrez, Ozge Vargel Bolukbasi, Lan Jiang, Dolly D. Thomas, Sarah Young, Inga Hofmann, Colin A. Sieff, Kasiani C. Myers, Jennifer Whangbo, Towia A. Libermann, Chad Nusbaum, Guo-Cheng Yuan, Akiko Shimamura, Carl D. Novina
Usage data is cumulative from May 2024 through May 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 708 | 85 |
130 | 46 | |
Figure | 284 | 18 |
Supplemental data | 145 | 14 |
Citation downloads | 85 | 0 |
Totals | 1,352 | 163 |
Total Views | 1,515 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.