Clonal Analysis of the Human Hematopoietic Hierarchy Reveals An Early Lymphoid Progenitor with Extensive Monocytic Potential.
Bibliographic record
Abstract
Abstract Abstract 1503 Poster Board I-526 The classical model of hematopoiesis posits the segregation of lymphoid and myeloid lineages as the earliest fate decision. Although the validity of this model in the mouse has recently been questioned, its status in human hematopoiesis is unclear, since little is known concerning lineage potential of human progenitors at the clonal level. We isolated and clonally mapped the developmental potential of each major progenitor class from neonatal cord blood and adult bone marrow providing the first comprehensive analysis of the human hematopoietic hierarchy. Human myeloid commitment follows the classical pattern of lineage restriction, however lymphoid development is initiated by a novel cell type, termed lympho-myeloid progenitor (LMP), which displays extensive monocytic potential. However, this myeloid capacity is lost following B- or T/NK-cell lineage commitment. The myeloid potential of LMPs is sensitive to extrinsic signals and can be directed towards differentiation into dendritic cells (DCs). Thus, human lymphoid development does not follow a rigid model of segregation of myeloid-lymphoid lineages, but proceeds through LMPs. LMPs can be massively expanded and differentiated into mature T-cells and DCs that are functionally indistinguishable from DCs derived from peripheral blood monocytes. The prospective isolation and elucidation of clonal lineage potential of human progenitors provides the basis for novel cellular therapeutics and a powerful means to uncover the cellular and molecular regulators that govern human lineage commitment. Disclosures: Dick: Roche: Research Funding; CSL Ltd: Research Funding.
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 | 0.000 | 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) | 0.005 | 0.001 |
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".