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Identification and Characterization By ChIP-Seq Of Genomic Sites Bound By E2A-PBX1 In Acute Lymphoblastic Leukemia Demonstrates Associations With p300 Recruitment, Transcriptionally Active Chromatin and Abundant Transcription

2013· article· en· W318007764 on OpenAlexaff
Kyster K. Nanan, David P. LeBrun

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Lymphoblastic Leukemia research
Canadian institutionsQueen's University
Fundersnot available
KeywordsChromatin immunoprecipitationChromatinCTCFBiologyChIP-sequencingMolecular biologyTranscription factorRNA polymerase IIPromoterTranscription (linguistics)GeneH3K4me3EnhancerGeneticsChIP-on-chipGene expressionChromatin remodeling

Abstract

fetched live from OpenAlex

Abstract E2A-PBX1 (EP1) is a chimeric oncogenic transcription factor expressed consequent to the 1;19 chromosomal translocation in cases of acute lymphoblastic leukemia (ALL). EP1 can induce transcription of reporter genes and EP1-driven oncogenesis requires direct binding of EP1 with the transcriptional co-activator and histone acetyltransferase p300. Therefore, we hypothesized that EP1 recruits p300 and other co-activators to cis-acting regulatory elements throughout the genome thereby inducing or maintaining transcription of target genes some of which contribute to the neoplastic phenotype. Here we have used chromatin immunoprecipitation followed by next generation DNA sequencing (ChIP-seq) to identify and characterize EP1-bound sites across the genome of the t(1;19)-associated, ALL-derived cell line RCH-ACV. ChIP was performed with an anti-FLAG antibody using sheared chromatin prepared from RCH-ACV cells that stably expressed FLAG-tagged EP1; ChIP from parent RCH-ACV cells not expressing FLAG-EP1 served as a negative control for peak calling. Parallel immunoprecipitations were performed with antibodies for p300 and the chromatin marks H3K4me3, H3K4me1 and H3K27me3. Sequencing of DNA purified from the immunoprecipitated material and of total RNA (RNA-seq) was carried out commercially by BGI whereas bioinformatic analyses were performed in-house. Bioinformatic analysis of data from replicate samples identified 3166 EP1 binding peaks across the RCH-ACV genome (irreproducible discovery rate threshold <0.01). Most EP1 binding sites were located in intronic (1408 sites) or intergenic (1346 sites) regions. Binding site consensus analysis showed overrepresentation of binding motifs for REST, CTCF, MYC, PAX5 and other transcription factors suggesting indirect recruitment of EP1 to DNA mediated by protein-protein interactions. EP1-bound regions were enriched for p300 binding (Figure 1), consistent with the documented importance of p300 recruitment in EP1 oncogenesis. A particular association with H3K4me3 relative to H3K4me1 or H3K27me3 (Figure 2) suggested association with active promoters. Three hundred and forty-two genes had EP1 binding sites within 1000 bp of their transcriptional start sites and these genes were associated with differentially abundant transcription (Figure 3, P<0.001). Querying the online Mammalian Phenotype Ontology tool with genes associated with EP1 binding generated terms that were obviously rich in phenotypes pertaining to B-lymphopoiesis. In summary, our results suggest that EP1 recruits p300 and other co-activators to transcriptionally active chromatin in ALL cells. Results from studies currently underway to confirm the dependency of target gene expression and p300 recruitment upon binding of EP1 at specific binding sites will be presented. 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 score0.002
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)0.0010.001

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 head0.014
GPT teacher head0.247
Teacher spread0.233 · 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".

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Citations0
Published2013
Admission routes1
Has abstractyes

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