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Direct Interaction of Ahi-1 with BCR-ABL Modulates BCR-ABL Transforming Activity and Imatinib Response in a BCR-ABL Inducible Cell Line Model

2008· article· en· W2592269524 on OpenAlexaff
Min Chen, Leon Zhou, Donna DeGeer, Ranko Vukovic, Ali G. Turhan, Xiaoyan Jiang

Bibliographic record

VenueBlood · 2008
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsCancer researchProgenitor cellBiologyABLImatinib mesylateChronic myelogenous leukemiaK562 cellsbreakpoint cluster regionStem cellTyrosine kinaseHaematopoiesisMyeloid leukemiaImatinibLeukemiaCell biologyImmunologySignal transductionReceptor

Abstract

fetched live from OpenAlex

Abstract (Abelson helper integration site-1) is a novel oncogene that was initially identified by provirus insertional mutagenesis in v-abl-induced murine pre-B cell lymphoma as a candidate cooperate oncogene. The Ahi-1 protein has a SH3 domain, multiple SH3 binding sites and WD-repeat domains, suggesting novel signaling activities. We have recently demonstrated that AHI-1 is highly deregulated in human leukemic cells, particularly in BCR-ABL+ leukemic stem cells from patients with chronic myeloid leukemia (CML). Overexpression of Ahi-1 in primitive hematopoietic cells confers a growth advantage in vitro and induces leukemia in vivo; these effects can be enhanced by BCR-ABL, a fusion oncogene that plays a major role in the genesis of CML. Conversely, RNAi-mediated suppression of AHI-1 in BCR-ABL-transduced lin−CD34+ human cord blood cells and leukemic stem/progenitor cells from CML patients reduces their growth autonomy in vitro. Interestingly, a direct physical interaction between AHI-1 and BCR-ABL at endogenous levels has been identified in CML cells and this interaction complex further mediates tyrosine kinase inhibitor response/resistance of CML stem/progenitor cells. To further investigate regulatory roles of Ahi-1 in mediating BCR-ABL transforming activities and altered signaling, we have now evaluated co-operative effects of Ahi-1 in a BCR-ABL inducible BaF3 cell line model in which the level of expression of p210BCR-ABL can be variably down-regulated by exposure to doxycycline (Dox). These experiments showed that reduction in BCR-ABL protein expression in the presence of Dox resulted in a corresponding decrease in growth factor independence both in liquid suspension cultures and in semi-solid cultures and an increase in Annexin V+ apoptotic cells in vitro. Interestingly, stable co-expression of Ahi-1 in BCR-ABL inducible BaF3 cells under these stringent conditions enabled them to grow continuously in liquid suspension culture, with fewer Annexin V+ apoptotic cells, and to produce more factor independent CFCs than cells transduced with BCR-ABL alone (10–30 fold). Strikingly, Ahi-1 co-transduced cells also displayed greater resistance to imatinib and, in the presence of IL-3, produced as many CFCs as were produced by the same cells without treatment of imatinib. In contrast, BCR-ABL-transduced cells alone showed a significant reduction of CFC output in response to imatinib. Western blot analysis further demonstrated that co-expression of Ahi-1 in BCR-ABL inducible cells resulted in sustained phosphorylation of BCR-ABL and enhanced activation of JAK2/STAT5 compared to BCR-ABL inducible cells alone when BCR-ABL expression was downregulated in the presence of Dox. Moreover, physical interaction between Ahi-1 and BCR-ABL was demonstrated by co-IP studies in Ahi-1 co-expressed BCR-ABL inducible cells. Taken together, these results provide direct evidence of the regulatory role of Ahi-1 in BCR-ABL-mediated transformation and imatinib response that is associated with altered BCR-ABL phosphorylation and JAK2/STAT5 activation.

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 score0.005

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)0.0010.001

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 head0.024
GPT teacher head0.265
Teacher spread0.240 · 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
Published2008
Admission routes1
Has abstractyes

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