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A New Generation of γGlobin Gene Inducers Act on Novel Molecular and Cellular Targets.

2006· article· en· W2980027737 on OpenAlexaff
Susan P. Perrine, Marie Trudel, Serguei A. Castañeda, Rishikesh Mankidy, Michael S. Boosalis, Marthe-Sandrine Eiymo, Gary L. White, Regine S. Bohacek, Douglas V. Faller

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsMontreal Clinical Research Institute
Fundersnot available
KeywordsButyrateGlobinBiologyFetal hemoglobinMolecular biologyBiochemistryFetusGeneGenetics

Abstract

fetched live from OpenAlex

Abstract High-potency, non-cytotoxic oral therapeutics to stimulate both fetal globin expression and erythropoiesis are needed for optimal definitive therapy of the beta-hemoglobinopathies and thalassemias. Butyrate and phenylbutyrate have been the most active of the non-chemotherapy inducing agents, but their efficacy is limited by anti-proliferative effects. A discovery program to identify more potent fetal-globin inducing compounds has been pursued utilizing pharmacophore and pseudoreceptor models to screen chemical libraries for additional inducing agents, based initially on short chain fatty acid derivatives. From a library of 10,000 compounds, our pseudoreceptor model predicted that 30 candidate compounds would bind a structural receptor which results in induction of the γ globin gene promoter. Of the 30 candidates, two compounds (RB 4 and 9) were found to have inducing activity comparable to butyrate in reporter gene assays (producing 2-fold induction), two candidates (RB7 and 29) had higher potency (3–4 fold induction), and 9 compounds had intermediate (lower) inducing activity. Second, five compounds identified through the molecular modeling stimulated proliferation of cord blood erythroid progenitors significantly, even in the absence of any added cytokines. Four of the novel compounds induced fetal globin mRNA (assayed by RT-PCR) in erythroid progenitors by 1.5 to 7-fold over control cells, at concentrations one log lower than previously identified inducers, while butyrate induced γ mRNA by 2-fold but reduced erythroid colony growth by 15%. Of compounds studied in vivo, three candidate compounds induced γ globin mRNA (by 2 to 6-fold) over basal levels in baboons, or by 2–15-fold in mice transgenic for the human γ globin genes. Molecular mechanisms of fetal globin induction by the high-potency compound RB7 resulted from displacement of an HDAC3/NCoR repressor complex from the γ globin promoter, with concurrent local histone acetylation, binding of a remodeling complex, and recruitment of RNA Pol II. These studies together identify 1) novel therapeutic targets, and 2) therapeutic candidates with multiple beneficial actions for treating beta globin disorders and other anemias. Development of a high-potency, orally tolerable therapeutic to benefit even severely anemic thalassemia patients should now be feasible.

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 score0.002
Threshold uncertainty score0.007

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)0.0020.001

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 head0.010
GPT teacher head0.212
Teacher spread0.201 · 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
Published2006
Admission routes1
Has abstractyes

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