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Antagonistic Roles of the ERK and p38 Pathways in Chemically Induced Erythroid Differentiation of Murine Erythroleukemia Cells.

2004· article· en· W2582671744 on OpenAlexaff
Volker Blank, Mansouria Merad Boudia, Margarita Todorova, Amy P. Moore

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPorphyrin Metabolism and Disorders
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMAPK/ERK pathwayp38 mitogen-activated protein kinasesCell biologyHemeKinaseGlobinSignal transductionProtein kinase ABiologyMolecular biologyChemistryBiochemistryHemoglobinEnzyme

Abstract

fetched live from OpenAlex

Abstract Murine erythroleukemia (MEL) cells provide a valuable model to study the molecular events leading to erythroid differentiation. Maturing erythroid cells synthesize large quantitities of hemoglobin, a process requiring the coordinated synthesis of heme and globin. Here, we investigated the role of the ERK and p38 mitogen-activated protein kinase (MAPK) signaling pathways in chemically induced differentiating MEL cells. We showed that treatment of DMSO- or HMBA-induced MEL cells with the MEK1/2 inhibitor UO126, blocking the ERK pathway, results in the increase of beta-globin and 5-aminolevulinate synthase-2 (ALAS-2) transcript levels. We found that addition of the p38 inhibitor SB203580 has the opposite effect, leading to decreased beta-globin and ALAS-2 mRNA levels. The regulation on the transcript level correlated with increased or decreased hemoglobin levels in the presence of MEK1/2 and p38 inhibitors, respectively. Our results suggest that the ERK and p38 pathways play antagonistic roles in DMSO- and HMBA induced erythroid differentiation in MEL cells. This data also provide a novel link between MAPK signaling and the regulation of intracellular heme levels, as ERK and p38 MAPK signaling cascades appear to differentially regulate one of the key enzymes of the heme biosynthesis pathway.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.077
Threshold uncertainty score0.311

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.005
GPT teacher head0.190
Teacher spread0.185 · 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 teacher head, 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
Published2004
Admission routes1
Has abstractyes

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