Dissecting the cell of origin of aberrant SALL4 expression in myelodysplastic syndrome
Bibliographic record
Abstract
Abstract Myelodysplastic syndrome (MDS) is a group of heterogeneous diseases characterized by cytologic dysplasia and cytopenias resulting from ineffective hematopoiesis. Oncofetal protein SALL4 is a known oncogene in MDS and its baseline expression level serves as a prognostic biomarker for MDS at the time of diagnosis. In addition, a recent study showed that SALL4 upregulation following hypomethylating agent treatment in MDS patients correlates with poor outcomes. Despite its important mechanistic and diagnostic significance, the cellular identity of bone marrow cells with aberrant SALL4 expression in MDS patients remains unknown. In this study, we analyzed MDS bone marrow cells on single cell level by mass cytometry (CyTOF) and found that SALL4 was mainly aberrantly expressed in the hematopoietic stem and progenitor cells (HSPC) as well as myeloid lineages. Within the HSPC population from MDS patients, SALL4 and p53 were co-expressed, with the highest co-expressing clones harboring pathogenic TP53 mutations. Overall, our study characterizes for the first time the aberrant SALL4 expression in primary MDS patient samples at a single-cell level. Further studies on the SALL4/p53 network for in-depth mechanistic investigation are needed in the future. Key Points SALL4 expression in various MDS BM cells confirmed by mass cytometry (CyTOF). SALL4 and p53 double positive cells were predominantly found in the hematopoietic stem and progenitor cell (HSPC) population and associated with pathogenic TP53 mutation status.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".