This study describes comprehensive polling of transcription start and termination sites and analysis of previously unidentified full-length complementary DNAs derived from the mouse genome. We identify the 5' and 3' boundaries of 181,047 transcripts with extensive variation in transcripts arising from alternative promoter usage, splicing, and polyadenylation. There are 16,247 new mouse protein-coding transcripts, including 5154 encoding previously unidentified proteins. Genomic mapping of the transcriptome reveals transcriptional forests, with overlapping transcription on both strands, separated by deserts in which few transcripts are observed. The data provide a comprehensive platform for the comparative analysis of mammalian transcriptional regulation in differentiation and development.

Chronic lymphocytic leukemia (CLL) is a malignancy of B cells of unknown etiology. Deletions of the chromosomal region 13q14 are commonly associated with CLL, with monoclonal B cell lymphocytosis (MBL), which occasionally precedes CLL, and with aggressive lymphoma, suggesting that this region contains a tumor-suppressor gene. Here, we demonstrate that deletion in mice of the 13q14-minimal deleted region (MDR), which encodes the DLEU2/miR-15a/16-1 cluster, causes development of indolent B cell-autonomous, clonal lymphoproliferative disorders, recapitulating the spectrum of CLL-associated phenotypes observed in humans. miR-15a/16-1-deletion accelerates the proliferation of both human and mouse B cells by modulating the expression of genes controlling cell-cycle progression. These results define the role of 13q14 deletions in the pathogenesis of CLL.

Peripheral T-cell lymphomas (PTCLs) are a heterogeneous and poorly understood group of non Hodgkin lymphomas1,2. Here we combined whole exome sequencing of 12 tumor-normal DNA pairs, RNAseq analysis and targeted deep sequencing to identify new genetic alterations in PTCL transformation. These analyses identified highly recurrent epigenetic factor mutations in TET2, DNMT3A and IDH2 as well as a new highly prevalent RHOA p.Gly17Val (NM_001664) mutation present in 22/35 (67%) of angioimmunoblastic T-cell lymphomas (AITL) and in 8/44 (18%) not otherwise specified PTCL (PTCL NOS) samples. Mechanistically, the RHOA Gly17Val protein interferes with RHOA signaling in biochemical and cellular assays, an effect potentially mediated by the sequestration of activated Guanine Exchange Factor (GEF) proteins. In addition, we describe new and recurrent, albeit less frequent, genetic defects including mutations in FYN, ATM, B2M and CD58 implicating SRC signaling, impaired DNA damage response and escape from immune surveillance mechanisms in the pathogenesis of PTCL.

Inferring, or 'reverse-engineering', gene networks can be defined as the process of identifying gene interactions from experimental data through computational analysis. Gene expression data from microarrays are typically used for this purpose. Here we compared different reverseengineering algorithms for which ready-to-use software was available and that had been tested on experimental data sets. We show that reverse-engineering algorithms are indeed able to correctly infer regulatory interactions among genes, at least when one performs perturbation experiments complying with the algorithm requirements. These algorithms are superior to classic clustering algorithms for the purpose of finding regulatory interactions among genes, and, although further improvements are needed, have reached a discreet performance for being practically useful.

Efforts to identify and annotate cancer driver genetic lesions have been almost exclusively focused on the analysis of protein coding genes. Here we identify a new long-range acting MYC enhancer controlled by NOTCH1, targeted by recurrent chromosomal duplications in human T-cell acute lymphoblastic leukemia (T-ALL). This highly conserved regulatory element, hereby named N-Me for NOTCH MYC enhancer, is located within a broad super-enhancer region +1.47 Mb from the MYC transcription initiating site, interacts with the MYC proximal promoter and induces orientation-independent MYC expression in reporter assays. Moreover, analysis of N-Me knockout mice demonstrates a selective and essential role of this regulatory element during thymocyte development and in NOTCH1-induced T-ALL. Altogether, these results identify N-Me as a long range oncogenic enhancer directly implicated in the pathogenesis of human leukemia and highlight the fundamental importance of the NOTCH1-MYC regulatory axis in T-cell transformation and as therapeutic target in T-ALL.

SUMMARY Glucocorticoid resistance is a major driver of therapeutic failure in T-cell acute lymphoblastic leukemia (T-ALL). Here we identify the AKT1 kinase as a major negative regulator of the NR3C1 glucocorticoid receptor protein activity driving glucocorticoid resistance in T-ALL. Mechanistically, AKT1 impairs glucocorticoid-induced gene expression by direct phosphorylation of NR3C1 at position S134 and blocking glucocorticoid-induced NR3C1 translocation to the nucleus. Moreover, we demonstrate that loss of PTEN and consequent AKT1 activation can effectively block glucocorticoid induced apoptosis and induce resistance to glucocorticoid therapy. Conversely, pharmacologic inhibition of AKT with MK2206 effectively restores glucocorticoid-induced NR3C1 translocation to the nucleus, increases the response of T-ALL cells to glucocorticoid therapy and effectively reverses glucocorticoid resistance in vitro and in vivo.

Activating mutations in NOTCH1 are common in T-cell acute lymphoblastic leukemia (TALL). Here we identify glutaminolysis as a critical pathway for leukemia cell growth downstream of NOTCH1 and a key determinant of clinical response to anti-NOTCH1 therapies. Mechanistically, inhibition of NOTCH1 signaling in T-ALL induces a metabolic shutdown with prominent inhibition of glutaminolysis and triggers autophagy as a salvage pathway supporting leukemia cell metabolism. Consequently, both inhibition of glutaminolysis and inhibition of autophagy strongly and synergistically enhance the antileukemic effects of anti-NOTCH1 therapies. Moreover, we demonstrate that Pten loss induces increased glycolysis and consequently rescues leukemic cell metabolism abrogating the antileukemic effects of NOTCH1 inhibition. Overall, these results identify glutaminolysis as a major node in cancer metabolism controlled by NOTCH1 and as therapeutic target for the treatment of T-ALL.

A substantial proportion of adult T-ALL samples display gene expression and mutation characteristics of both T cell and acute myeloid leukemias; mutations in ETV6 are found exclusively within this new molecular subgroup of adult T-ALL patients.