MétaCan
Menu
Back to cohort

Effects of Arsenic Trioxide on Megakaryocytic Cell Lines: Apoptosis, Cell Cycle Dysfunction and Signaling Pathways.

2004· article· en· W2580892635 on OpenAlexaboutno aff
Hubert Lam, Karen K.H. Li, Ki Wai Chik, Mo Yang, Carmen K.Y. Chuen, Venus C.T. Liu, Chi Kong Li, Matthew Ming Kong Shing, Patrick M.P. Yuen

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRetinoids in leukemia and cellular processes
Canadian institutionsnot available
Fundersnot available
KeywordsArsenic trioxideApoptosisAcute promyelocytic leukemiaCell cycleFlow cytometryAnnexinCell cultureCell cycle checkpointMolecular biologyCancer researchLeukemiaBiologyCell growthChemistryImmunologyBiochemistryGenetics

Abstract

fetched live from OpenAlex

Abstract Despite progress made in the elucidation of the actions of arsenic trioxide (ATO) in acute promyelocytic leukemia, the molecular mechanisms leading to apoptosis in other malignancies remain unclear. In particular, the effects of ATO on the megakaryocytic (MK) lineage have not been well characterized. In this study, we focused on two MK cell lines CHRF-288-11 (CHRF) and MEG-01, which were derived from an infant and adult acute megakaryocytic leukemia (AMKL), respectively. Our data showed that these cells underwent apoptosis within 24 – 48 h post-ATO (6 μM) treatment, as demonstrated by the Annexin V assay (Table 1). By flow cytometry, significant activation of caspase-3 was detected in the MK cells at 24 h, and was preceded by the loss of mitochondrial membrane potential (8 h) as determined by the fluorescent dye JC-1. Western blotting experiments showed that ATO induced Bax expression and down-regulated Bcl-2, which led to an increase in Bax/Bcl-2 ratio. ATO exerted immediate and significant interference on the cell cycle by delaying S-phase progression and the subsequent accumulation of cells in the G2/M phase (43.2% vs 13.6%, p < 0.01). By multivariate analysis (BrdU and 7-AAD), active caspase-3 was detected in all phases of the cell cycle. The responses of CHRF and MEG-01 cells to ATO were similar, except that the latter appeared more resistant, in terms of the dosage of ATO and the slight delayed onset of apoptosis. We screened the expression levels of 96 genes involved in apoptosis using the GEArray Q Series Human Apoptosis Gene Array at 0, 4, 8 and 16 h (each n = 2) post-ATO treatment. We identified the up-regulation of mRNA of two extrinsic components of apoptosis. Fas was progressively increased in both cell lines (up to 6.14-fold) and caspase-8 was elevated in MEG-01 (3.58-fold). The protein expressions of Fas and activated caspase-8 were demonstrated in both cell lines by flow cytometry. Increased mRNA expressions of caspase-1 (2.30-fold) and CD137 (2.33-fold) were also noted, but their significance in apoptosis of our system remained to be investigated. To demonstrate the direct effect of ATO on gene expressions in AMKL cells, a more comprehensive microarray (Human 19K Array, Ontario Cancer Institute Microarray Centre) was used. Treatment with ATO for 4 h (n = 3) prompted an elevation in the mRNA levels of stress-associated proteins, such as metallothioneins (MT1G: 6.31-fold; MT2A: 3.64-fold), Hsp72 (5.81-fold), Hsp73 (3.77-fold), Hsp90 (2.11-fold), ferritin (2.02-fold) and ubiquitin (2.76-fold). Interestingly, WT1, a cell cycle regulatory gene elevated in many types of leukemia, was induced by ATO (2.44-fold). In conclusion, our results suggested that apoptosis in AMKL cells mediated by ATO involved a switch from pro-survival in the early phase to the activation of multiple death machineries, consisting of the intrinsic (mitochondrial, Bax, Bcl-2) and the extrinsic (Fas, caspase-8) compartments. Table 1: Signals regulated by ATO in CHRF cells 0 h 24 h 48 h Mean ± SEM; * p < 0.05 compared to 0 h; # n = 2, others n = 3–5. Annexin V +/PI − (%) 4.56±0.28 8.28±0.53* 9.83±0.73* Active caspase-3 (%) 2.28±0.13 4.58±0.87* 14.7±1.16* JC-1 greenhi/redlo (%) 4.18±0.52 8.05±0.60* 20.76±8.69* Bax/Bcl-2 (Fold)# 0.63±0.08 2.65±0.68 - Fas (Fold) 1 1.73±0.17* 1.96±0.20* CD137 (Fold) 1 1.55±0.08* 1.76±0.03*

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 score0.003

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.183
Teacher spread0.179 · 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
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicRetinoids in leukemia and cellular processesFrench-language works237,207