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Record W2999942872 · doi:10.1182/blood-2019-128712

The AHI-1-BCR-ABL-DNM2 Complex Mediates Mitochondrial Dynamics in Drug-Resistant BCR-ABL+ Cells

2019· article· en· W2999942872 on OpenAlexaff
Ryan Yen, Lambert Yue, Steven Pelech, Xiaoyan Jiang

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsTerry Fox Research InstituteKinexus Bioinformatics Corporation (Canada)University of British Columbia
Fundersnot available
KeywordsTyrosine kinaseProtein kinase domainSH3 domainBiologyABLPonatinibCancer researchPhiladelphia chromosomeCell biologyKinaseChemistrySignal transductionNilotinibMutantBiochemistryChromosomal translocation

Abstract

fetched live from OpenAlex

Chronic myeloid leukemia (CML) is driven by the BCR-ABL1 oncoprotein with constitutively active protein-tyrosine kinase activity, perturbing multiple signaling pathways. Although therapies with tyrosine kinase inhibitors (TKIs) can effectively treat early phase CML, relapses and emergence of TKI resistance are problematic, due to BCR-ABL kinase domain mutations and TKI unresponsive quiescent leukemic stem cells (LSCs). These observations point towards a need for alternate treatment strategies to prevent the development of resistant LSCs. We previously demonstrated that Abelson helper integration site-1 (AHI-1) is a highly deregulated protein in CML LSCs and that its WD40-repeat domain physically interacts with BCR-ABL, enhancing leukemia-initiating activity. AHI-1 also contains an SH3 domain, which mediates TKI resistance in LSCs. This domain interacts with dynamin-2 (DNM2) and forms a complex with BCR-ABL, to enhance the phosphorylation and activity of DNM2. The AHI-1-BCR-ABL-DNM2 complex is shown to regulate leukemic properties in patient LSCs, including increased ROS production, endocytosis and autophagy. Interestingly, deletion of the Ahi-1 SH3 domain (Ahi-1 SH3Δ) results in a defect in Ahi-1 localization, with most being present in the nucleus. To test whether Ahi-1 SH3 domain activity directly affects cytoplasmic anchoring and localization, we have generated two Ahi-1 mutants, using site-directed mutagenesis: a mutation in the key tryptophan residue (W939A) involved in SH3 domain binding and in a non-conserved surface residue (M906A), as a negative control, based on the crystal structure of the AHI-1 SH3 domain. Interestingly, the cytoplasm-to-nucleus signal ratio of Ahi-1 W939A was significantly reduced compared to the negative control or wildtype Ahi-1, as assessed by immunofluorescence and confocal microscopy (70% reduction, p<0.0001), indicating that changes in localization of Ahi-1 SH3Δ may result in disruption of the complex and allow for new interactions with nuclear proteins. Investigating changes in the proteome may help uncover downstream effects of the AHI-1-BCR-ABL-DNM2 complex and its biological role in mediating TKI resistance. Advanced antibody microarray analysis was then used to investigate differences in the proteome and phosphorylation landscape of BCR-ABL+ cells co-transduced with wildtype Ahi-1 or Ahi-1 SH3Δ. This system quantifies the differences in expression and phosphorylation states of key signaling proteins simultaneously, using 878 antibodies in duplicate. Twenty leads were identified by the following criteria: a large signal difference of at least 1.5-fold change, high signal strength for high expression, and low error between duplicates. These leads were validated by Western blot analysis and several of them were confirmed. Particularly, phosphorylation of cyclin-dependent kinase 1 (CDK1), a key player in cell cycle control and mitochondrial dynamics, was greatly reduced in cells expressing wildtype Ahi-1 compared to Ahi-1 SH3Δ, indicating that AHI-1-mediated phosphorylation changes in CDK1 may contribute to regulation of mitochondrial functions. Indeed, BCR-ABL-transduced cells co-expressing wildtype Ahi-1 showed increased mitochondria potential in response to TKI treatment or serum starvation, in MitoTracker analysis (p<0.05). However, this was not observed in BCR-ABL-transduced cells co-expressing the Ahi-1 SH3Δ mutant. A similar trend was also observed in immunofluorescence confocal microscopy analysis of the mitochondrial importer receptor, TOM20. To further study the role of DNM2 in mediating mitochondrial dynamics associated with AHI-1 and BCR-ABL, CRISPR-Cas9 mediated DNM2 knockdown was performed in TKI-resistant cells, using two different DNM2-targeting guide RNAs; these resulted in significant reduction in DNM2 (78% & 75%) in Western blot analysis. The knockdown cells showed a reduction in viability (60% reduction) and increased sensitivity to TKI treatment compared to the control (90% vs. 30% reduction) after 48 hours and changes in mitochondrial activity were also observed in these cells. These results support a role for mitochondrial dynamics in the AHI-1-BCR-ABL-DNM2 complex-mediated TKI response and that targeting key biological processes regulated by the AHI-1-BCR-ABL-DNM2 complex and its pathways may lead to new therapeutic strategies to overcome TKI resistance in CML. Disclosures Pelech: Kinexus Bioinformatics Corporation: Equity Ownership.

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 score0.005

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 head0.008
GPT teacher head0.232
Teacher spread0.224 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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