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Record W3183048910 · doi:10.1158/1538-7445.am2021-3099

Abstract 3099: The metabolic enzyme hexokinase 2 localizes to the nucleus in AML and normal hematopoietic stem/progenitor cells to maintain stemness

2021· article· en· W3183048910 on OpenAlexaff
Geethu Emily Thomas, Grace Egan, Laura Gracia Prat, Aaron Botham, Véronique Voisin, Elias Orouji, J Chin, Boaz Nachmias, Kerstin B. Kaufmann, Neil MacLean, Rose Hurren, Marcela Gronda, Xiaoming Wang, Dilshad H. Khan, Rashim Pal Singh, Andrea Arruda, Mark D. Minden, Gary D. Bader, John E. Dick, Aaron D. Schimmer

Bibliographic record

VenueCancer Research · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsStem cellCell biologyBiologyProgenitor cellClonogenic assayHaematopoiesisMitochondrionNeural stem cellCancer stem cellCancer researchChemistryCellBiochemistry

Abstract

fetched live from OpenAlex

Abstract Mitochondrial metabolites affect epigenetic marks, but it is largely unknown whether mitochondrial metabolic enzymes can directly localize to the nucleus to regulate stem cell function in AML. Here, we discovered that the mitochondrial enzyme, Hexokinase 2 (HK2), localizes to the nucleus in AML and normal hematopoietic stem cells to maintain stem cell function. We searched for mitochondrial enzymes moonlighting in the nucleus using 8227 AML cells, a primary AML culture model arranged in a hierarchy with defined stem cells. By immunoblotting and confocal microscopy, we detected HK2 in the nucleus of 8227 cells with higher expression in the nucleus of stem cells vs bulk cells. In contrast, other metabolic enzymes including PFK1, FH, PKM2, GPI1, ENO1, CS, ACO2, and SDHA1, 2 were not detected in the nucleus of these cells. We also detected HK2 in the nucleus of AML cell lines as well as 7 of 9 primary AML samples. Next, we tested whether nuclear HK2 was functionally important to maintain stem cell function in AML. We over-expressed HK2 tagged with nuclear localizing signals in 8227 and NB4 leukemia cells. This increased clonogenic growth and inhibited retinoic acid-mediated cell differentiation without changing basal proliferation. Nuclear HK2 also increased engraftment of 8227 cells into mouse marrow. We evaluated the selective inhibition of nuclear HK2 by over-expressing HK2 with an outer mitochondrial localization signal while knocking down endogenous HK2 with 3'UTR shRNA. Selective depletion of nuclear HK2 reduced clonogenic growth, increased AML differentiation with ATRA, and decreased CD34+CD38- 8227 stem cells without changing basal proliferation. Nuclear HK2 was also higher in normal human hematopoietic stem cells and multipotent progenitor fractions and declined as the cells matured. Over-expression of nuclear HK2 in normal cord blood increased the primary and secondary engraftment into mice. Transgenic mice over-expressing nuclear HK2 driven by a Vav promoter had increased hematopoietic stem cells in the marrow and decreased monocytes and lymphocytes in the peripheral blood. To determine whether nuclear HK2 maintains stemness through its kinase activity, we over-expressed a kinase dead double mutant of nuclear HK2 (D209A D657A) and observed increased clonogenic growth and inhibited differentiation on ATRA treatment, nuclear HK2 function is independent of its kinase function. To understand nuclear functions of HK2, we used proximity-dependent biotin labeling (BioID) and mass spectrometry identified proteins related to chromatin organization and regulation to interact with nuclear HK2. In summary, we discovered that HK2 localizes to nucleus of AML cells and functions independent of its kinase activity to maintain the stem/progenitor state of AML. Thus, we define a new role for mitochondrial enzymes in the regulation of leukemic stemness and differentiation. Citation Format: Geethu Emily Thomas, Grace Egan, Laura Gracia Prat, Aaron Botham, Veronique Voisin, Elias Orouji, Jordan Chin, Boaz Nachmias, Kerstin B. Kaufmann, Neil Maclean, Rose Hurren, Marcela Gronda, Xiaoming Wang, Dilshad H. Khan, Rashim P. Singh, Andrea Arruda, Mark Minden, Gary D. Bader, John E. Dick, Aaron D. Schimmer. The metabolic enzyme hexokinase 2 localizes to the nucleus in AML and normal hematopoietic stem/progenitor cells to maintain stemness [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 3099.

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 score0.008

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)0.0020.001

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 head0.030
GPT teacher head0.334
Teacher spread0.304 · 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
Published2021
Admission routes1
Has abstractyes

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