MétaCan
Menu
Back to cohort
Record W3095386435 · doi:10.1182/blood-2020-143103

Erythropoiesis Failure in Diamond-Blackfan Anemia Starts at the Oligopotent Common Myeloid and Megakaryocyte-Erythroid Progenitor Stage

2020· article· en· W3095386435 on OpenAlexaff
Richard N. Armstrong, Mariana Benicio, Houtan Moshiri, Hongbing Li, Bozana Zlateska, Olga I. Gan, Eric R. Lechman, John E. Dick, Yigal Dror

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsSickKids FoundationUniversity Health NetworkPrincess Margaret Cancer CentreHospital for Sick Children
Fundersnot available
KeywordsProgenitor cellDiamond–Blackfan anemiaMyeloidBiologyHaematopoiesisErythropoiesisBone marrow failureImmunologyBone marrowGATA1ProgenitorMegakaryocyteStem cellCancer researchCell biologyGeneticsAnemiaMedicineInternal medicine

Abstract

fetched live from OpenAlex

Diamond-Blackfan anemia (DBA) is a hereditary bone marrow failure disorder that is characterized by erythropoiesis failure and chronic anemia and is frequently associated with physical malformations. Considered a ribosomopathy, most patients harbor pathogenic mutations in one of at least 22 large or small ribosomal protein genes in an autosomal dominant manner, however rarer cases involving mutations in GATA1, TSR2 and EPO have also been described. A recent study of the architecture of the human hematopoietic hierarchy throughout development (Notta et al, Science 2016) showed that, after birth, unipotent progenitors can derive directly from multipotent progenitors without intermediate differentiation into oligopotent progenitors. Critically, this work identified novel progenitors for which the abundance, clonal capacity and progenitor function is currently unknown in many benign and malignant hematological disorders. Specifically, multipotent, common myeloid and megakaryocyte-erythroid progenitors (MPP, CMP and MEP) were found to be functionally heterogeneous and could be subdivided (F1, F2 and F3 subtypes) based on the combination of CD71 and BAH1 expression. We hypothesized that in-depth analysis of these novel and previously reported progenitors will better elucidate hematopoiesis in DBA, providing insights in to DBA pathogenesis and erythropoietic failure. Using flow cytometry, we quantified the frequencies of 11 hematopoietic stem and progenitor cell (HSPC) populations: HSC, MPP F1-F3, CMP F1-F3, MEP F1-F3 and granulocyte-monocyte progenitors (GMP), from the BM specimens of 8 DBA patients harboring ribosomal protein mutations and 6 healthy age-matched control donors. To characterize the function of HSPCs in DBA we then utilized a highly sensitive and quantitative single-cell in-vitro stromal feeder-based differentiation assay that supports the expansion and lineage commitment of single HSCPs towards mature cell types (myeloid, erythroid and megakaryocytes) with progeny immunophenotyping and quantification by flow cytometry. Our refined quantification of HSPCs by flow cytometry showed that the defect of erythropoiesis in DBA patients starts at the CMP/MEP compartment. Namely, CMP-F2 and CMP-F3 as well as MEP-F2 and MEP-F3 sub-populations that are predicted to form erythroid cells were significantly reduced in DBA patients compared to healthy aged-matched individuals (Figure 1A-B). In contrast, CMP/MEP-F1 sub-populations that are predicted to form only myeloid cells (BAH1-/CD71-) showed no significant difference compared to healthy controls. Importantly, the multipotent compartment (HSC and MPP) did not significantly differ from that of healthy controls. Functional analysis of F2/F3 CMP/MEP HSCP sub-populations in single-cell colony assays showed that they have a high propensity to produce erythroid progeny in healthy control samples (Figure 1C). In contrast, in DBA patients these HSCPs had limited erythroid forming potential, but maintain a high propensity to develop myeloid colonies (Figure 1D). To our knowledge this is the first study that the HSCP sub-populations F1/F2/F3 HSCP fractions have been analyzed in DBA. Collectively, these data indicate that the hematopoietic defect in DBA occurs in erythroid-producing CMP/MEP populations. Our data show that these sub-populations are both reduced and dysfunctional in DBA patients and we suggest these abnormalities lead to the pure red cell aplasia seen in these patients. Figure 1: DBA patients have reduced CMP and MEP sub-populations that behave dysfunctional in-vitro. A-B) DBA patients have reduced CMP-F2/3 (A) and MEP-F2/3 (B) sub-populations in their bone marrow. C) CMP F2-F3 and MEP F2-F3 have a high propensity to produce erythroid cell types in healthy controls. D) Single-cells isolated from the CMP-F2/3 and MEP-F2 population of DBA patients produced proportionally fewer erythroid and greater myeloid colonies in in-vitro colony assays (plot shows the mean respective proportions from all healthy controls and DBA patients tested, each N=5). Disclosures Dick: Bristol-Myers Squibb/Celgene: 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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.011
GPT teacher head0.228
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicRNA modifications and cancerFrench-language works237,207