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PLAG1 and USF2 Regulate Primitive Hematopoietic Expression of Musashi-2

2015· article· en· W2536726826 on OpenAlexaff
Muluken S. Belew, Stefan Rentas, Laura de Rooij, Kristin J. Hope

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsBiologyEctopic expressionStem cellTranscription factorHaematopoiesisRegulation of gene expressionContext (archaeology)Gene expressionCell biologyGeneticsGene

Abstract

fetched live from OpenAlex

Abstract The Musashi-2 (MSI2) RNA binding protein is now recognized as a key regulator of hematopoietic stem cells (HSCs). Its expression is most elevated in the primitive HSC compartment and progressively decreases with differentiation. In mouse models of CML, ectopic expression of MSI2 drives progression from the chronic to the blast crisis state while in the human context its aberrantly high expression correlates with more aggressive CML disease states and is associated with poor prognosis in AML. These studies suggest that the precise molecular regulation of MSI2 gene expression may be among the critical mechanisms underlying balanced HSC self-renewal and differentiation and as a result, the prevention of leukemic transformation/progression. Despite the clear importance of understanding how Msi2 maintains an appropriate stem cell-specific expression level, very little is understood of the transcription factors (TFs) that mediate this. To define those factors that govern MSI2 expression and function specifically in the HSC compartment we undertook a systematic approach to map and define relevant regulatory elements of the MSI2 minimal promoter. We dissected a 3.5 kb region 5' upstream of MSI2's translational start site (TSS) shared between mouse and human and thus having the greatest potential of containing regulatory elements key to a conserved MSI2 stem-cell-specific gene expression program. Progressive 5'-terminal deletions of this region cloned upstream of a luciferase reporter gene and transfected into K562 and 293T model cell lines allowed us to define a minimal conserved promoter region from -588 to -203 bp upstream of the TSS that reports accurately on endogenous MSI2 expression. Coupled with in silico prediction of TF that bind this region, systematic TF binding site mutagenesis and luciferase reporter assays in model cell lines identified USF2 and PLAG1 as TFs whose direct binding to the MSI2 minimal promoter direct reporter activity. Loss and gain of function studies in K562 cells confirm that these factors co-regulate the transactivation of endogenous MSI2. Moreover we show in the most relevant primary human CD34+ hematopoietic cell context that these factors bind the MSI2 minimal promoter. While USF2 is a ubiquitously expressed TF across the hematopoietic hierarchy, the uniquely restricted expression of PLAG1 within only the most primitive of hematopoietic cells suggests that it specifically contributes to the heightened stem cell-specific expression of MSI2. Consistent with its role as a key driver of MSI2 and thus an enforcer of its pro-self-renewal functions, we found that overexpression of PLAG1 in human Lin-CD34+ cord blood cells enhanced MSI2 transcription and increased total Colony Forming Unit (CFU) output and re-plating efficiency of primitive CFU progenitors. PLAG1 overexpression also offered a pro-survival advantage to these cells as evidenced by a more than two-fold reduction in Annexin V positive cells compared to negative controls. We have thus described important transcriptional circuitry that governs stem-cell specific expression of MSI2 while at the same time functionally validated PLAG1 as a novel factor capable of modulating primitive hematopoietic cell self-renewal and survival. Disclosures No relevant conflicts of interest to declare.

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 score0.004

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 head0.031
GPT teacher head0.290
Teacher spread0.260 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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