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Growth Factor Independence 1b (Gfi1b) Regulates The Commitment, Differentiation and Expansion Of Hematopoietic Stem Cells

2013· article· en· W2980688151 on OpenAlexaff
Tarik Möröy, Cyrus Khandanpour, Joseph Krongold

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBlood disorders and treatments
Canadian institutionsMontreal Clinical Research Institute
Fundersnot available
KeywordsHaematopoiesisStem cellBone marrowBiologyCancer researchCell biologyHematopoietic stem cellEx vivoImmunologyIn vivoGenetics

Abstract

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Abstract The efficacy of bone marrow stem cell transplantation is the therapy of choice for many hematopoietic diseases, in particular leukemia and lymphoma. This therapy is critically dependent on the transfer of sufficient numbers of hematopoietic stem cells (HSCs), which possess the capacity for self-renewal and can fully reconstitute the hematopoietic system. As such, the development of techniques for the expansion of fully functional HSCs is of significant clinical interest. By transiently manipulating the factors that govern HSC homeostasis it has been proposed that HSCs can be expanded without the loss of essential stem cell characteristics. Previously we have observed that ablation of the gene encoding the transcription factor Gfi1b in-vivo results in a dramatic expansion and mobilization of hematopoietic stem cells in the bone marrow and periphery. More recent data suggest that the blood mobilization of Gfi1b deficient HSCs is very likely mediated by a deregulation of the integrin expression. These data led us to hypothesize that Gfi1b could be a potential target for ex-vivo treatment and expansion of HSCs. Indeed, when deletion of Gfi1b was induced in whole bone marrow ex-vivo, HSCs showed a significant expansion in both in absolute number and in terms of proportion of bone marrow. We followed HSCs in ex-vivo expansion cultures from mouse bone marrow by tracking expression of the surface marker CD48, which indicates whether an HSC has transitioned to a differentiation committed multi-potent progenitor. We observed that Gfi1b null HSCs expanded without up-regulating CD48 in contrast to wt HSCs. This suggests that Gf11b deficient HSCs underwent symmetric self-renewal type cell divisions at a significantly increased frequency, when compared to wt HSCs. We had previously shown that HSCs lacking Gfi1b cycle at a faster rate than control HSCs. The combination of increased cell division and preferential self-renewal of Gfi1b-/- HSCs indicates that inhibition of Gfi1b may be the ideal strategy for ex-vivo HSC expansion. As well, in accordance with this preference for self-renewal, Gfi1b null HSCs that were cultured under myeloid differentiation conditions remained primarily in an undifferentiated state as defined by a lack of the myeloid surface markers Gr1 and Mac1. These cultures also demonstrated increased long term colony forming capacity versus controls, further supporting an undifferentiated phenotype in Gfi1b-/- cells. Because the stem cell niche is a highly complex and heterogeneous environment we also investigated whether bone marrow in which Gfi1b has been deleted exerts paracrine effects that contributed to HSC expansion. Co-Culture assays demonstrated that Gfi1b-/- bone marrow was able to induce an expansion of progenitors in wild-type bone marrow of more than 10 fold compared to Gfi1b-/+ bone marrow. Interestingly cells co-cultured with Gfi1b null bone marrow also exhibited an overall proliferation advantage after short-term cultures. This suggests that not only does Gfi1b deletion induce HSC expansion via cell intrinsic mechanisms, but also points to the possibility that this occurs through paracrine factors that alter bone marrow homeostasis. Disclosures: No relevant conflicts of interest to declare.

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 score0.004

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.007
GPT teacher head0.199
Teacher spread0.192 · 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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