MétaCan
Menu
← Back to cohort

The Hematopoietic Activity of the Homeobox Gene HOXB4 Depends on a N-Terminal Proline-Rich Region In Vitro and In Vivo.

2006· article· en· W2549702628 on OpenAlexaff
Monica Cusan, Aniruddha J. Deshpande, Wolfgang Hiddemann, R. Keith Humphries, Christian Buske, Michaela Feuring‐Buske

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsHomeoboxBiologyHaematopoiesisMutantMolecular biologyIn vitroIn vivoStem cellGeneCancer researchCell biologyTranscription factorGenetics

Abstract

fetched live from OpenAlex

Abstract HOXB4 belongs to the family of homeobox transcription factors, which play a key role in hematopoietic development. The expression of HOXB4 induces a significant increase of long-term repopulating stem cells (SC) in human and mouse models, without perturbing hematopoietic differentiation. So far the underlying mechanisms of the SC amplificatory impact of HOXB4 are poorly understood. In an attempt to understand the unique characteristics of HOXB4, we performed a mutational study by deleting its proline - rich N-terminus, which has been described to act as a transcriptional activation domain in many other proteins, like non-homeobox genes (e.g. p53, AP2) and other homeobox genes (e.g. HOXD4 and HOXA13). We performed in vitro and in vivo experiments transducing murine 5-FU enriched HSCs with the pMSCV-IRES-GFP based retroviral vector harbouring the HOXB4 wild-type (wt) and several mutants, including a Δproline HOXB4 mutant (ΔP), where the proline-rich sequence between the aminoacidic positions 71–123 is deleted. In vitro the ΔP-HOXB4 mutant led to a 3.2fold decrease in the number of hematopoietic cells harvested after 1 week of liquid expansion compared to the HOXB4 wt (n=3; p<0.05). Furthermore, deletion of the proline - rich region resulted in a 7.5fold decrease in the total number of CFCs per 500 cells plated (n=3; p<0.03), compared to the HOXB4 wt. The ΔP-HOXB4 mutant also generated less secondary colonies (18.5 versus 103 per 500 cells initially plated; n=2; p<0.0001) compared to the HOXB4-wt. Of note and in contrast to the ΔP-HOXB4 mutant, the deletion of the PBX interacting domain (Pbx-HOXB4, aa W→A) or deletion of the C-terminal stretch (aa 221 −251; cDel-HOXB4) did not reduce the formation of primary colonies compared to HOXB4 wt (n=3; 178 and 124 versus 226 colonies per 500 cells initially plated, respectively). On the level of the short-term repopulating stem cells constitutive expression of HOXB4 wt (n=3) induced on average a 1,565fold increase in the frequency of ΔCFU-S in comparison to the GFP control (n=11) (10,645 versus 6.8 colonies/45,000 input cells; p<0.0000001). The deletion on the N-terminal proline-rich region of HOXB4 (n=14) led to a significant decrease in the Δ-CFU-S frequency in comparison to the HOXB4-wt (mean 42fold; p<0.000001), while it still generated significantly more Δ-CFU-S compared to the GFP control (252 versus 6.8/45,000 input cells; p<0.001). Taken together, these results characterize the N-terminal proline - rich stretch between aminoacidic positions 71–123 as a domain, which is highly relevant for the hematopoietic activity of HOXB4.

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 head0.006
GPT teacher head0.234
Teacher spread0.228 · 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

Explore more

Same venueBlood→Same topicCancer-related molecular mechanisms research→French-language works237,207→