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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Integrative methylome-transcriptome analysis unravels cancer-cell vulnerabilities in infant MLL-rearranged B-ALL (Datasets and additional tables))

Authors: Juan Ramón Tejedor; Clara Bueno; Meritxell Vinyoles; Paolo Petazzi; Antonio Agraz-Doblas; Isabel Cobo; Raúl Torres-Ruiz; +15 Authors

Integrative methylome-transcriptome analysis unravels cancer-cell vulnerabilities in infant MLL-rearranged B-ALL (Datasets and additional tables))

Abstract

B-cell acute lymphoblastic leukemia (B-ALL) is the most common childhood cancer. As predicated by its prenatal origin, infant B-ALL (iB-ALL) shows an exceptionally silent DNA mutational landscape, suggesting that alternative epigenetic mechanisms may significantly contribute to its leukemogenesis. We have extensively characterized the DNA methylome and the transcriptome lansdcape of 40 patients with de novo MLL rearranged (MLLr) and non-MLLr iB-ALL leukemias uniformly treated according to Interfant-99/06 protocol. iB-ALL methylome signatures display a plethora of common and specific alterations associated with chromatin states related to enhancer and transcriptional control. Further methylome-transcriptome integration identified consistent cancer-cell vulnerabilities, revealed a robust iB-ALL-specific gene expression-correlating dmCpG signature and confirmed an epigenetic control of AP-1 and RUNX members in reshaping the molecular network of MLLr iB-ALL. Pharmacological inhibition or functional ablation of AP-1 activity resulted in dramatic in vitro and in vivo leukemia proliferation defects, providing rationale for new potential therapeutic avenues in iB-ALL. This dataset contains information related to dataframes, databases, scripts and supplementary material mentioned in the original manuscript.

Keywords

MLL rearrangement, DNA methylation, Leukemia, iBCP-ALL

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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