MétaCan
Menu
Retour à la cohorte
Enregistrement W2589885101 · doi:10.1182/blood.v128.22.358.358

IKZF1 Regulates BRD4 Retention and Recruitement at Enhancer in Myeloma Cells: Role of BRD4 in IMiDs Resistance

2016· article· en· W2589885101 sur OpenAlexaff
Paola Neri, Inès Tagoug, Ranjan Maity, Jacquelyn Babich, Lindsay Lockwood, Jonathan J. Keats, Larry H. Boise, Leif Bergsagel, Nizar J. Bahlis

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueProtein Degradation and Inhibitors
Établissements canadiensInstitute of Cancer ResearchUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésEnhancerBRD4BiologyBromodomainCell cultureTranscription factorEnhancer RNAsRNA polymerase IIMolecular biologyChromatinCancer researchGene expressionGenePromoterHistoneGenetics

Résumé

récupéré en direct d'OpenAlex

Abstract Background: MYC rearrangement is a recurrent somatic event in MM and results in super-enhancers repositioning within 3Kb (centromeric or telomeric) of the MYC locus. BRD4, a member of the bromodomain family, binds H3K27Ac and regulates enhancers activity, RNA polymerase II transcription initiation and elongation and in particular it regulates MYC transcription in MM cells. Immunomodulatory drugs (IMiDs) promote the proteasomal degradation of IKZF1/3 and the transcriptional repression of MYC and IRF4. However the exact mechanisms through which IMiDs downregulate MYC are not well understood. Methods and Results: Using a extended panel of 12 MM cell lines we have first confirmed our previous observartion that IMIDs universally degraded IKZF1/3, however unlike in IMiDs-sensitive cell lines it failed to downregulate MYC in resistant cells. Therefore, this finding suggests that MYC transcriptional regulation rather than IKF1/3 degradation is the "bottleneck" in IMiDs anti-myeloma activity or resistance. In addition, RNA-seq of paired and serially collected primary myeloma cells with acquired resistance to IMIDsconfirmed the enrichment of genes signatures associated with MYC at the time of acquired resistance. Of note, in a library of t(4;14) MM cell lines lenalidomide significantly downregulates FGFR3 while the expression of WHSC1 was not affected. As in t(4;14) cells FGFR3 is driven by the 3' IGH enhancer while WHSC1 is under the control of the intronic Em enhancer, and in view of the known role of IKZF1 in CSR, we posit that IKZF1 regulates plasma cells enhancer activity and hence MYC expression. To validate this hypothesis we first established the genome-wide distribution of IKZF1 in MM1S, RPMI8226 and OPM2 cells by ChIP-Seq. This analysis revealed the distribution of IKZF1 across the genome, predominantly to intronic an intragenic loci with only ~ 8% or reads mapping within +/- 5 kb of genes TSS. Importantly IKZF1 was also enriched at known myeloma cells enhancers or super-enhancers such as IGLL5, TXNDC5, BCL2L1, and DUSP22. We also mapped BRD4 binding to the genome in 8226 and MM1S cell lines and confirmed previously described mapping to known B-cell enhancers. Of note IKZF1 nearly universally overlapped with all BRD4 enhancers and superenhancers loci. These findings lead us to propose that IKZF1 depletion in response to IMiDs treatment will result in enhancer destabilization and displacement of BRD4 from enhancer loci. Indeed, Chip-Seq analysis of IKZF1 and BRD4 genomic distribution pre- and post- treatment with lenalidomide (10 uM for 4 or 8h) in IMiDs sensitive cell lines significantly depleted IKZF1 and BRD4 at superenhancer loci. In contrast, in IMiDs resistant cell lines (RPMI8226) and despite IKZF1 depletion, BRD4 was largely retained at these loci. These findings suggest that in IMiDs sensitive cells, IKZF1 is the major transcription factor mediating BRD4 recruitment to enhancer and superenhancer loci. In contrast, in IMiDs resistant cells and similar to BET-bromodomain inhibitor (JQ1) resistance, transcriptional plasticity or hyper-phosphorylation of BRD4 attributable to the phosphatase PP2A inactivation may also be mediating IMiDs resistance. Indeed the levels of p-BRD4 determined by western blotting were significantly higher in IMiDs resistant INA6 and RPMI8226 cells compared to MM1S cells. Furthermore, treatment of INA6 cells with the PP2A activator phenothiazine significantly sensitized INA6 cells to lenalidomide. Lastly, in order to investigate whether IMiDs resistance was associated with acquired new MYC rearrangements with an "IKZF1_resisant enhancer," we performed mate-pair sequencing of IMiDs resistance patients (18 post acquisition of IMIDs resistance and 7 pairs of pre- and post- acquisition of IMIDs resistance). MYC structural rearrangements (indels, translocations, inversions) were detected using DELLY and MANTA. Of note several MYC rearrangement were identified including MYC duplication in 1 patient, MYC structural rearrangement (±3Kb of TSS) in 9 patients (enhancer partner: TXNDC5, IGHa2, NSMCE2, IGLL5) and a newly acquired IRF4-IGH a2 rearrangement in 1 patient with pre-existing MYC-IGLL5 rearrangement. Conclusion:We have demonstrated that IMIDs alter enhancer activity in myeloma cells by depleting IKZF1 / IKZF3 and disrupting BRD4 binding to enhancers and super-enhancers, stalling of RNA polymerase II and MYC transcription. Disclosures Neri: Celgene and Jannsen: Consultancy, Honoraria. Bergsagel:Amgen, BMS, Novartis, Incyte: Consultancy; Novartis: Research Funding. Bahlis:Onyx: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau; BMS: Honoraria; Celgene: Consultancy, Honoraria, Other: Travel Expenses, Research Funding, Speakers Bureau.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,206
Écart entre enseignants0,201 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2016
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBloodMême sujetProtein Degradation and InhibitorsTravaux en français237 207