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Record W3095944468 · doi:10.1182/blood-2020-142963

Functional Investigation of the Argonaute Proteins in Human Hematopoietic Stem and Progenitor Cells

2020· article· en· W3095944468 on OpenAlexaff
Gordon Wong, Gabriela Krivdova, Olga I. Gan, Jessica McLeod, John E. Dick, Eric R. Lechman

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsBiologyStem cellArgonauteHaematopoiesisCell biologyProgenitor cellBone marrowGene silencingImmunologyRNA interferenceGeneticsGeneRNA

Abstract

fetched live from OpenAlex

Micro RNA (miRNA)-mediated gene silencing, largely mediated by the Argonaute (AGO) family proteins, is a post-transcriptional gene expression control mechanism that has been shown to regulate hematopoietic stem and progenitor cells (HSPCs) quiescence, self-renewal, proliferation, and differentiation. Interestingly, only the function of AGO2 in hematopoiesis has been investigated. O'Carroll et al. (2007) showed that AGO2 knockout in mice bone marrow cells interferes with B220low CD43- IgM-pre-B cells and peripheral B cell differentiation and impairs Ter119high, CD71high erythroid precursors maturation. However, the functional significance of other AGO proteins in the regulation of stemness and lineage commitment remains unclear. AGO submembers, AGO1-4 in humans, are traditionally believed to act redundantly in their function. However, our previous proteomic analysis from sorted populations of the human hematopoietic hierarchy shows each sub-member is differentially expressed during HSPCs development, suggesting each sub-member may have a specialized function in hematopoiesis. Here, we conducted CRISPR-Cas9 mediated knockout of AGO1-4 in human cord blood derived long-term (LT-) and short-term hematopoietic stem cells (ST-HSCs) and investigated the impact of the loss of function of individual AGOs in vitro and in vivo in xenograft assays. From the in vitro experiment, we cultured CRISPR-edited LT- or ST-HSCs in a single cell manner on 96-well plates pre-cultured with murine MS5 stroma cells in erythro-myeloid differentiation condition. The colony-forming capacity and lineage commitment of each individual HSC is assessed on day 17 of the culture. Initial data showed that AGO1, AGO2 and AGO3 knockout decreased the colony formation efficacy of both LT- and ST-HSCs, suggesting AGO1, AGO2 and AGO3 are involved in LT- and ST-HSCs proliferation or survival. As for lineage output, AGO1 knockout increases CD56+ natural killer cell commitment in LT-HSCs and erythroid differentiation in ST-HSCs; AGO2 knockout increases erythroid differentiation in both LT- and ST-HSCs and decreases myeloid differentiation in ST-HSCs; while AGO4 knockout seems to decrease erythroid output. For the in vivo experiment, we xenotransplanted AGO1 and AGO2 knockout LT-HSCs in irradiated immunodeficient NSG mice and assessed the change in LT-HSCs engraftment level and lineage differentiation profile at 12- and 24-week time points. We found that AGO2 knockout increased CD45+ engraftment at both 12- and 24-weeks. Aligning with our in vitro data, AGO2 knockout increases GlyA+ erythroid cells at 12- and 24-weeks. The increase in GlyA+ erythroid cells is a consequence of the 2-fold increase in GlyA+ CD71+ erythroid precursor cells, recapitulating previous findings that AGO2 knockout in mice impairs CD71high erythroid precursor maturation leading to the accumulation of undifferentiated CD71+ erythroid precursors (O'Carroll et al., 2007). Accumulation of early progenitors of the erythroid lineage, including the common myeloid progenitors (CMPs) and myelo-erythroid progenitor (MEPs) were observed, as well as their progeny including CD33+ myeloid and CD41+ megakaryocytes. For the myeloid lineage, AGO2 knockout shifts myeloid differentiation toward CD66b+ granulocytes from CD14+ monocytes. For lymphoid, AGO2 knockout decreases CD19+ CD10- CD20+ mature B-lymphoid cells, which again aligns with previous AGO2 knockout mice results. On the other hand, AGO1 knockout LT-HSCs share some similar phenotype with AGO2 knockout LT-HSCs, where AGO1 knockout increases CD71+ erythroid precursors. However, AGO1 knockout in LT-HSCs also results in unique phenotypes, with a decrease in neutrophil formation and an increase in CD4+ CD8+ T progenitor cells are observed. AGO3 and AGO4 knockout experiments are in progress. In summary, our AGO2 knockout experiments recapitulate the reported results from murine studies but also illustrate a more complete role of AGO2 in hematopoietic lineage differentiation. Moreover, AGO knockout experiments of individual submembers are revealing novel insights into their role in the regulation of stemness and lineage commitment of LT-HSCs and ST-HSCs. These data point to a unique role of different AGO isoforms in lineage commitment in human HSCs and argue against redundant functioning. 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
Bibliometrics0.0000.000
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 head0.028
GPT teacher head0.225
Teacher spread0.197 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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