T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive form of leukemia that is mainly diagnosed in children and shows a skewed gender distribution toward males. In this study, we report somatic loss-of-function mutations in the X-linked histone H3K27me3 demethylase ubiquitously transcribed X (UTX) chromosome, in human T-ALL. Interestingly, UTX mutations were exclusively present in male T-ALL patients and allelic expression analysis revealed that UTX escapes X-inactivation in female T-ALL lymphoblasts and normal T cells. Notably, we demonstrate in vitro and in vivo that the H3K27me3 demethylase UTX functions as a bona fide tumor suppressor in T-ALL. Moreover, T-ALL driven by UTX inactivation exhibits collateral sensitivity to pharmacologic H3K27me3 inhibition. All together, our results show how a gender-specific and therapeutically relevant defect in balancing H3K27 methylation contributes to T-cell leukemogenesis

MotivationDeep sequencing based ribosome footprint profiling can provide novel insights into the regulatory mechanisms of protein translation. However, the observed ribosome profile is fundamentally confounded by transcriptional activity. In order to decipher principles of translation regulation, tools that can reliably detect changes in translation efficiency in case–control studies are needed.ResultsWe present a statistical framework and an analysis tool, RiboDiff, to detect genes with changes in translation efficiency across experimental treatments. RiboDiff uses generalized linear models to estimate the over-dispersion of RNA-Seq and ribosome profiling measurements separately, and performs a statistical test for differential translation efficiency using both mRNA abundance and ribosome occupancy.Availability and ImplementationRiboDiff webpage http://bioweb.me/ribodiff. Source code including scripts for preprocessing the FASTQ data are available at http://github.com/ratschlab/ribodiff.Supplementary information Supplementary data are available at Bioinformatics online.

fibrolamellar carcinoma drug repurposing pediatric rare tumors patient derived xenografts drug screening fusion gene Abbreviations: ATR -Ataxia telangiectasia and Rad3-related protein AURKA -Aurora kinase A AURKB -Aurora kinase B Bcl-xL -B-cell lymphoma-extra large encoded by the BCL2-like 1 gene Bcl2 -B-cell lymphoma 2 ITS -Insulin, (human) Transferrin, Selenium BID -BH3 Interacting Domain Death Agonist BIM -Bcl-2-like protein 11 CA12 -Carbonic anhydrase 12 CDc7 -Cell division cycle 7-related protein kinase CDK -Cyclin depedent protein kinase Cyp19A1 -Also know as aromatase or estrogen synthase DAB -3,3'-Diaminobenzidine DMSO -Dimethyl sulfoxide DNA-PK -DNA protein kinase EGFR -Epidermal growth factor receptor eIF4F -Eukaryotic initiation factor 4F ErbB2 -erythroblastic oncogene B, also known as Her-2 protooncogene Neu and as epidermal growth factor receptor-2 FLC -fibrolamellar hepatocellular carcinoma H&E -hematoxylin and eosin HSA -Highest Single Agent HCC -hepatocellular carcinoma HDAC -Histone deacetylase HSP70 -Heat Shock Protein 70

The posttranscriptional control of gene expression by microRNAs (miRNAs) is highly redundant, and compensatory effects limit the consequences of the inactivation of individual miRNAs. This implies that only a few miRNAs can function as effective tumor suppressors. It is also the basis of our strategy to define functionally relevant miRNA target genes that are not under redundant control by other miRNAs. We identified a functionally interconnected group of miRNAs that exhibited a reduced abundance in leukemia cells from patients with T cell acute lymphoblastic leukemia (T-ALL). To pinpoint relevant target genes, we applied a machine learning approach to eliminate genes that were subject to redundant miRNA-mediated control and to identify those genes that were exclusively targeted by tumor-suppressive miRNAs. This strategy revealed the convergence of a small group of tumor suppressor miRNAs on the Myb oncogene, as well as their effects on HBP1, which encodes a transcription factor. The expression of both genes was increased in T-ALL patient samples, and each gene promoted the progression of T-ALL in mice. Hence, our systematic analysis of tumor suppressor miRNA action identified a widespread mechanism of oncogene activation in T-ALL.

The activation of memory T cells is a very rapid and concerted cellular response that requires coordination between cellular processes in different compartments and on different time scales. In this study, we use ribosome profiling and deep RNA sequencing to define the acute mRNA translation changes in CD8 memory T cells following initial activation events. We find that initial translation enables subsequent events of human and mouse T cell activation and expansion. Briefly, early events in the activation of Ag-experienced CD8 T cells are insensitive to transcriptional blockade with actinomycin D, and instead depend on the translation of pre-existing mRNAs and are blocked by cycloheximide. Ribosome profiling identifies ∼92 mRNAs that are recruited into ribosomes following CD8 T cell stimulation. These mRNAs typically have structured GC and pyrimidine-rich 5′ untranslated regions and they encode key regulators of T cell activation and proliferation such as Notch1, Ifngr1, Il2rb, and serine metabolism enzymes Psat1 and Shmt2 (serine hydroxymethyltransferase 2), as well as translation factors eEF1a1 (eukaryotic elongation factor α1) and eEF2 (eukaryotic elongation factor 2). The increased production of receptors of IL-2 and IFN-γ precedes the activation of gene expression and augments cellular signals and T cell activation. Taken together, we identify an early RNA translation program that acts in a feed-forward manner to enable the rapid and dramatic process of CD8 memory T cell expansion and activation.