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Record W3096860160 · doi:10.1182/blood-2020-142229

Transcriptional Control of HP1a By the RNA Binding Proteins Rbmx/L1 Maintain Chromatin State in Myeloid Leukemia

2020· article· en· W3096860160 on OpenAlexaff
Diu Nguyen, Camila Prieto, Zhaoqi Liu, Justin C. Wheat, Alexendar R. Perez, Saroj Gourkanti, Timothy Chou, Ersilia Barin, Arthur Chow, James Taggart, Katerina Hoskova, Meera M. Dhodapkar, Alexandra Schurer, Trevor Barlowe, Ly Vu, Christina S. Leslie, Ulrich Steidl, Raúl Rabadán, Michael G. Kharas

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsHaematopoiesisBiologyMyeloid leukemiaLeukemiaRNA-binding proteinProgenitor cellSmall hairpin RNAKnockout mouseMyeloidChromatinStem cellMolecular biologyCancer researchRNACell biologyImmunologyGeneticsGene

Abstract

fetched live from OpenAlex

Mutations and aberrant expression of RNA binding proteins (RBPs) have recently been found to contribute to leukemia development (Prieto and Kharas, CSH, 2020). Previously we have identified the RBP RBMX (RNA binding motif protein, X-linked) in our shRNA in vivo screen using murine MLL-AF9 driven leukemia (Prieto et al, ASH abstract 2018). Here we uncover the role of RBMX and its retrogene RBMXL1 in normal hematopoiesis and leukemogenesis in mouse and human systems. To investigate RBMX function in normal hematopoiesis, we created an Rbmx Mx1-Cre conditional knockout model to specifically delete Rbmx in the hematopoietic system. We gender stratified our studies since Rbmx is sex-linked. Deletion of Rbmx in both female and male primary mice as well as in non-competitive transplant animals did not affect hematopoiesis. Additionally, Rbmx knockout (KO) leads to a mild reduction in multipotent progenitors (MPP2 and MPP4) in female competitive transplanted mice although no defects in long-term hematopoiesis was observed in male competitive transplanted mice. These data suggest that Rbmx is dispensable for normal hematopoiesis. To identify the role of RBMX in leukemogenesis we knockout Rbmx in MLL-AF9 murine leukemia cells and found it significantly reduced colony formation in vitro and delayed leukemogenesis in vivo, indicating that Rbmx is required for leukemia maintenance. We observed, however, that MLL-AF9 transformed cells from Rbmx KO donor mice showed no delay in leukemia initiation versus cells from wildtype. We then determined that while Rbmx deletion is effective with complete depletion of mRNA, the retrogene RBMXL1 expression is maintained in Rbmx deficient cells, which may compensate for Rbmx deletion in leukemia initiation. Indeed, depletion of RBMXL1 by shRNAs (KD) in Rbmx deficient leukemia cells results in a drastic reduction in colony formation, increased colony myeloid differentiation, and induced apoptosis in cells deficient for both RBMXL1 and RBMX compared to those only depleted of RBMX. Correspondingly, RBMXL1 KD in Rbmx deficient leukemia cells resulted in further delayed leukemogenesis in vivo, indicating that RBMXL1 is functionally redundant to RBMX and both genes are required for leukemia development and maintenance. We next investigated the role of RBMX/L1 in normal human hematopoietic and leukemia cells. We found that RBMX/L1 expression were higher in AML cell lines (n=10/11) and primary AML patient samples (n=2/4) compared to healthy individuals. RBMX/L1 KD by shRNAs led to a dramatic decrease in cell proliferation, induction of apoptosis and myeloid differentiation in several human myeloid leukemia cell lines (MOLM-13, THP-1, K562, and KCL-22). Additionally, RBMX/L1 depletion significantly delayed leukemogenesis in vivo of AML cell lines (median survival of 51.5 days in control vs. median 'not reached' in shRNA1 and shRNA2), and of primary leukemia cells derived from an AML patient (median 50 days in control vs. "not reached" in shRNA2). We next depleted RBMX/L1 in human CD34+ stem and progenitor cells and observed reduced colony formation but no increase in apoptosis. Taken together, our data suggest that RBMX/L1 are differentially required in leukemia cells versus normal cells in both human and mouse systems. To uncover the mechanism of RBMX/L1 function, we performed complex chromosomal karyotyping analysis of RBMX/L1 depleted MOLM13 cells and revealed increased metaphases with breaks and gaps. In addition, ATAC-seq analysis showed profound genome-wide changes in chromatin accessibility and compaction upon RBMX/L1 depletion. Analyses of RNA-seq and transcriptome-wide RBMX/L1 binding targets (PAR-CLIP; Liu et al. 2017) revealed that RBMX/L1 directly binds to mRNAs and affects transcription of multiple loci including the heterochromatin protein 1 alpha (HP1a) mRNA. Using single molecule RNA FISH, we uncovered that RBMX/L1 controls the nascent transcription of the HP1a locus. Forced HP1a expression rescued the RBMX/L1 depletion effects on cell growth and apoptosis. Overall, we determine that RBMX/L1 control leukemia cell survival by regulating chromatin state through its downstream target HP1a. This study describes a novel genetic compensation phenomenon in leukemia and illuminate a mechanism for RBPs directly promoting transcription. Our results suggest RBMX/L1 as well as HP1a as potential novel therapeutic targets in myeloid malignancies. Disclosures Steidl: Aileron Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Stelexis Therapeutics: Consultancy, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees; Bayer Healthcare: Research Funding; Pieris Pharmaceuticals: Consultancy. Kharas:Accent Therapeutics: Consultancy; 28-7: Research Funding.

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 integrity0.0000.000
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 head0.009
GPT teacher head0.225
Teacher spread0.216 · 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

Citations2
Published2020
Admission routes1
Has abstractyes

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