Identification and functional characterization of protein kinases that modulate Notch signaling under physiological conditions and in cancer

The Notch signaling pathway is a key regulator of cell fate decisions in embryonic development and in adult tissue homeostasis. Mounting evidence suggests that Notch signaling is frequently deregulated in human neoplasms, where depending upon the cellular context it can function both as an oncogene or a tumor suppressor. A plethora of studies shed light on how Notch crosstalks with signaling pathways downstream to manifest either its oncogenic or tumor suppressive activity. However, regulatory networks upstream of the Notch signaling pathway are still poorly understood. Since protein kinases are well-known regulators of a majority of cell signaling pathways, the aim of the current study was to identify novel positive and negative regulatory kinases that modulate Notch signaling. Using a HeLa cell based co-culture assay to read Notch-dependent luciferase activity, a small interference RNA (siRNA) library against the human kinase genome was previously tested in a high-throughput manner. Validation of top candidate kinases from the screening using both siRNA as well as pharmacological inhibitors led to further elimination of false positives and identification of Protein Kinase B (AKT2) and Calmodulin Kinase II (CaMKII) as key positive while Janus kinases (JAKs) as key negative regulators of the Notch signaling pathway. In the first part of the study, we analyzed the positive regulation of AKT2 and CaMKII kinases on Notch signaling in the T-cell acute lymphoblastic leukemia (T-ALL) cells where Notch is oncogenic. It was shown that pharmacological inhibition of either AKT2 or CaMKII kinase in T-ALL cell lines in vitro abrogated the expression of active Notch1 intracellular domain (N1-ICD) as well as of Notch target genes. Moreover, inhibition of these kinases blocked proliferation of T-ALL cells. In the second part of the study, we analyzed the negative regulation of JAK kinases on Notch signaling using a distinct physiological context where Notch is tumor suppressive. It was shown that pharmacological inhibition of JAK kinases led to an induction of Notch receptor transcription and of Notch target genes in the human primary epidermal keratinocytes (HPEK) as well as in the skin squamous cell carcinoma (SCC) cell lines. In addition, the pharmacological inhibition of JAK kinases induced a block in proliferation, cell cycle arrest and differentiation in HPEKs and skin SCCs by increased expression of early differentiation markers. Suppression of Notch signaling in primary keratinocytes counteracted the differentiation-inducing effect of JAK inhibition. Since JAK inhibition affected Notch transcription, global gene expression profiling using RNA sequencing was done to identify transcription factors involved in an indirect regulation of JAK kinases on the Notch cascade. EGR1 and EGR2 belonging to the early growth response family of transcription factors were significantly modulated downstream of JAK inhibition. In vivo, topical inhibition of JAK kinases provided marked resistance against chemically induced cutaneous carcinogenesis.Taken together, our data reveals a key role of AKT2 and CaMKII kinases in positive regulation while of JAK kinases in the negative regulation of Notch signaling, of potential relevance for combinatory approaches for cancer therapy. Pharmacological inhibitors against these kinases could be tested for their ability to modulate Notch signaling and may prove highly beneficial in the therapy of Notch-driven cancers.

Assessing the role of Hes1 and identification of target genes in human and murine T-ALL

Silvia Wirth

The Notch signalling pathway is an ancient cell signalling mechanism that enables short-range communications between cells and controls a broad spectrum of cell fates and developmental processes. In the haematopoietic system Notch signalling has been linked to physiological, but also to pathological phenotypes of T cell development. Identification of numerous activating mutations within the NOTCH1 receptor in human T cell acute lymphoblastic leukaemia (T-ALL) patient samples demonstrated that aberrant activation of this signalling pathway is a frequent event in T-ALL. Active Notch signalling leads to the expression of a plethora of genes that might be drivers or passengers in tumorigenesis including Hes1, which encodes a transcriptional repressor. We have therefore studied Hes1 in the context of T-ALL in mouse models that mimic human disease and in human T-ALL cell lines with the aim to evaluate whether Hes1 affects disease development and disease maintenance and to characterize its function on a molecular level. The first part of this study is dedicated to the functional characterisation of Hes1 in vivo in T-ALL mouse models and in vitro in human T-ALL cell lines. Using a retroviral bone marrow transplant model of T-ALL in which progenitor cells are transduced with a retrovirus expressing constitutive active Notch1 intracellular domain (NICD) we could show that Hes1 is not required in established, late stage T-ALL cells, but that it promotes tumour progression in the early stages of the disease. We have also investigated the function of HES1 in human T-ALL and can show that the overexpression of dominant negative versions of Hes1 in two patient derived cell lines (T-ALL1, CUTLL-1) does not affect proliferation or apoptosis, emphasising that HES1 does not affect cell viability once cells are fully transformed to the leukemic state. In the second part of the study we set out to systematically delineate the gene regulatory networks down-stream of Hes1 by combining RNA-seq and ChIP-seq analysis. Comparing the gene expression of murine premalignant, early stage NICD induced CD4+CD8+ DP cells in the presence and absence of Hes1 by RNA-seq, we unexpectedly found a predominant upregulation of genes in cells expressing Hes1 indicating that Hes1 might rather act as a positive regulator of transcription than as a transcriptional repressor of distinct target genes. Hes1 might influence transcription through secondary or indirect effects as combinatorial analysis of RNA-seq and ChIP-seq led to the identification of only a small number of potential direct target genes that are transcriptionally regulated by Hes1. In summary, the role of Hes1 in promoting the early stages of the disease appears to be highly complex and is likely to involve both direct and indirect control of gene regulatory networks.

EPFL2014

Development and application of experimental tools to elucidate the gene regulatory network underlying adipogenesis

Carine Delattre-Gubelmann

Excess fat mass in obese individuals, which is characterized by an increase of white adipocyte cell size and number, significantly raises the risk of developing metabolic syndrome symptoms as well as cancer. A detailed understanding of the transcriptional mechanisms mediating white adipocyte differentiation (i.e., adipogenesis) is required to counteract the growing obesity epidemics. In this thesis, we have implemented two combinatory approaches to detect new protein-DNA interactions in the mouse, one of which targets the adipogenic gene regulatory network (GRN) that underlies the white adipocyte differentiation process. As a first approach to shed light on GRNs, we have developed and validated a powerful approach that combines a high-throughput yeast one-hybrid-based (Y1H) system to detect transcription factors (TFs)-DNA element interactions, together with a novel microfluidics-based technique, enabling the identification and characterization of individual binding sites for detected TFs within the respective regulatory sequences at unprecedented throughput and resolution. Using well-described regulatory elements as well as an uncharacterized enhancer which can play also a role in adipogenesis, we show that our approach in a first phase uncovers many known as well as novel TF-DNA interactions, of which a large proportion were independently validated. In addition, we further demonstrate how our approach can be used in a second phase to characterize detected interactions by enabling the generation of a relative DNA occupancy landscape over the length of the respective DNA element. Furthermore, we provide evidence that this system enables the detection of novel interactions that may have in vivo relevance. Given the strict requirements for direct and well-characterized protein-DNA interaction data to generate and model gene regulatory networks, the presented two-tiered approach should be of great value to enhance our understanding of the regulatory principles underlying mouse gene expression. To identify transcription factors involved in white adipocyte differentiation, we overexpressed TFs in preadipocytes and quantified their effect on differentiation. To this end, we have created a mouse open-reading frame resource consisting of more than 750 fully sequence-verified TF clones. We transferred these TF clones to a Tet-On lentiviral vector and used them to infect white preadipocytes. Based on microscopy-assisted quantification of lipids after induction of differentiation, we identified putatively novel TF candidates that strongly enhanced differentiation based on the increased lipid accumulation, indicating a potential role in adipogenesis. Gene expression and ChIP-seq experiments have been performed for the three top candidates (ZEB1, ZFP30 and ZFP277) to further study their function within the adipogenic regulatory network. To assess whether the effect of these TFs on adipogenesis could be reproduced in vivo, murine adipose stromal-vascular fraction containing adipocyte precursor cells were implanted into mice fed a high-fat diet, after each of the three TF candidates were knockdown or overexpressed in these cells. This experiment and the RNA-seq analyses are currently being processed while this thesis is being written. Furthermore, due to the absence of quantitative real-time PCR (qPCR) primer designing tools that would allow for gene-specific expression profiling in a high-throughput fashion, we design a user-friendly platform: GETPrime. This platform uniquely combines and automates several features critical to optimal qPCR primer design for all annotated Homo sapiens, Mus musculus, Caenorhabditis elegans, Drosophila melanogaster and Danio rerio genes in the Ensembl database. GETPrime primers have been extensively validated experimentally, demonstrating their high quality as well as high transcript specificity in complex samples.

EPFL2013

Assessing the role of Hes1 and identification of target genes in human and murine T-ALL

Silvia Wirth

EPFL2014

Development and application of experimental tools to elucidate the gene regulatory network underlying adipogenesis

Carine Delattre-Gubelmann

EPFL2013