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NOTCH1 Induces Differential Epigenomic Patterning and Genomic Organization in Fetal Liver- and Adult Bone Marrow-Derived Hematopoietic Progentiors

2015· article· en· W2574564768 on OpenAlexaff
Vincenzo Giambra, Sonya H.L. Lam, Miriam Belmonte, Sam Gusscott, Sohrab Salehi, Fong Chun Chan, Robert Kridel, Alireza Lorzadeh, Catherine Hoofd, Christian Steidl, Connie J. Eaves, Martin Hirst, Andrew P. Weng

Bibliographic record

VenueBlood · 2015
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsUniversity of British ColumbiaBC Cancer Agency
Fundersnot available
KeywordsProgenitor cellCancer researchHaematopoiesisImmunophenotypingBiologyBone marrowMyelopoiesisImmunologyLeukemiaStem cellCell biologyFlow cytometry

Abstract

fetched live from OpenAlex

Abstract T-cell acute lymphoblastic leukemia (T-ALL) is a malignancy of immature T-cell progenitors, characterized by activating NOTCH1 mutations in over 50% of children and adult cases. Although intensive multiagent chemotherapy achieves cure in most pediatric patients, the majority of adults succumb quickly to their disease. The basis for this divergence is likely multifactorial, but we sought in this study to investigate whether cell intrinsic features might contribute to the disparate biologies in pediatric and adult patients. In our prior abstract, we modeled pediatric and adult leukemias by transduction of hematopoietic stem/progenitor cells (HSPC) derived from mouse fetal liver (FL) and adult bone marrow (ABM) with activated NOTCH1 virus followed by transplantation into histocompatible recipient animals. We observed that whereas FL- and ABM-derived HSPC generate similar primary acute T-cell leukemias in terms of penetrance, latency, disease burden/distribution, and immunophenotype, FL leukemias exhibit much greater cycling activity than ABM leukemias, yet are dramatically impaired in their ability to propagate disease in secondary and tertiary recipients compared to ABM leukemias. Using a combination of gene expression profiling and in vitro culture assays, we attributed this differential behavior to NOTCH1-induced autocrine IGF signaling that is operative in FL, but not ABM-derived HSPC. Here we report that NOTCH1 mediates its effects on IGF1 in FL-derived HSPC directly by physical occupancy over the IGF1 promoter in a dimerization-dependent fashion. As well, increased NOTCH1 occupancy at the IGF1 promoter region in FL tissues is associated with reduced histone H3K27 trimethylation (a mark of transcriptionally silent chromatin), yet there is equivalent histone H3K4 trimethylation (a mark identifying transcriptionally active promoters) in both FL and ABM tissues, suggesting that NOTCH1 may be responsible for interconverting the IGF1 locus between active and inactive, but poised chromatin states. NOTCH1 occupancy is also associated with enhanced physical interactions between the IGF1 promoter region and distant genomic loci as revealed by circularized chromosome conformation capture (4C) assay and confirmed by chromosome conformation capture (3C) assay, including sites with H3K4 monomethylation (a mark of transcriptional enhancers) suggesting that NOTCH1 promotes "looping in" of distant enhancer elements that drive IGF1 expression in FL tissues. We conclude from these studies that NOTCH1 enacts differential, developmental stage-specific transcriptional programs by a combination of local epigenetic patterning and long-range genomic interactions. These findings support the notion that pediatric and adult T-ALL may potentially be regarded as related, but biologically distinct diseases, and that novel, age-specific therapies that exploit these differences may improve clinical outcomes. 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 score0.003

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 head0.015
GPT teacher head0.235
Teacher spread0.220 · 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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