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SCL regulates the Quiescence and the Long-Term Competence of Hematopoietic Stem Cells.

2009· article· en· W4251184633 on OpenAlexaff
Julie Lacombe, Sabine Herblot, Shanti Rojas‐Sutterlin, André Haman, Stéphane Barakat, Norman N. Iscove, Guy Sauvageau, Trang Hoang

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicHematopoietic Stem Cell Transplantation
Canadian institutionsUniversity Health NetworkOntario Institute for Cancer ResearchUniversité de Montréal
Fundersnot available
KeywordsStem cellBiologyHaematopoiesisTransplantationProgenitor cellBone marrowPopulationImmunologyCell biologyCancer researchInternal medicineMedicine

Abstract

fetched live from OpenAlex

Abstract Abstract 2520 Poster Board II-497 The life-long production of blood cells depends on the regenerative capacity of a rare bone marrow population, the hematopoietic stem cells (HSCs). In the adult, the majority of HSCs are quiescent while a large proportion of progenitors are more cycling. The state of quiescence in HSCs is reversible and these cells can be triggered into cycle by chemotoxic injuries, exposure to cytokines in vitro, as well as transplantation in vivo. SCL/TAL1 is a bHLH transcription factor that has a critical role in generating HSCs during development. However, the role of SCL in adult HSCs is still a matter of debate. In the present study, we took several approaches to address this question. Scl expression was monitored by quantitative PCR analysis in a population that contains adult long-term reconstituting HSCs (LT-HSCs) at a frequency of 20–50%: Kit+Sca+Lin-CD150+CD48-. RT-PCR results were confirmed by β-galactosidase staining of these cells in Scl-LacZ mice. We show that Scl is highly expressed in LT-HSC and that its expression correlates with quiescence, i.e. Scl levels decrease when LT-HSCs exit the G0 state. In order to assess stem cell function, we performed several transplantation assays with adult bone marrow cells in which SCL protein levels were decreased at least two-fold by gene targeting or by RNA interference. 1) The mean stem cell activity of HSCs transplanted at ∼1 CRU was two-fold decreased in Scl heterozygous (Scl+/−) mice. 2) In competitive transplantation, the contribution of Scl+/− cells to primitive populations as well mature cells in the bone marrow was significantly decreased 8 months after transplantation. 3) In secondary transplantation assays, Scl+/− HSCs were severely impaired in their ability to reconstitute secondary recipient in stem cells and progenitor populations and in almost all mature lineages. 4) Reconstitution of the stem cell pool by adult HSCs expressing Scl-directed shRNAs was significantly decreased compared to controls. We therefore conclude that SCL levels regulate HSC long term competence. Since Scl levels decrease when LT-HSCs exit the G0 state, we addressed the question whether the cell cycle state of LT-HSCs is sensitive to Scl gene dosage. We stained bone marrow cell populations with Hoechst and Pyronin Y. At steady state, percentage LT-HSCs in G1 fraction appears to be significantly increased in mice lacking one allele of Scl. Furthermore, a three-fold increase in G1 fraction was also observed when cells were infected with Scl-directed shRNA, suggesting that a decrease in Scl levels facilitates G0-G1 transition. At the molecular level, we show by chromatin immunoprecipitation that SCL occupies the Cdkn1a and Id1 loci. Furthermore, in purified Kit+Sca+Lin-CD150+CD48- cells, the expression levels of these two regulators of HSC cell cycle and long-term functions are sensitive to Scl gene dosage. Together, our observations suggest that SCL impedes G0-G1 transition in HSCs and regulates their long-term competence. 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 score0.004
Threshold uncertainty score0.014

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)0.0040.002

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 head0.012
GPT teacher head0.233
Teacher spread0.221 · 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

Citations3
Published2009
Admission routes1
Has abstractyes

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