Comprehensive analysis of PM20D1 QTL in Alzheimer's disease

Background Alzheimer's disease (AD) is a complex disorder caused by a combination of genetic and non-genetic risk factors. In addition, an increasing evidence suggests that epigenetic mechanisms also accompany AD. Genetic and epigenetic factors are not independent, but multiple loci show genetic-epigenetic interactions, the so-called quantitative trait loci (QTLs). Recently, we identified the first QTL association with AD, namely Peptidase M20 Domain Containing 1 (PM20D1). We observed that PM20D1 DNA methylation, RNA expression, and genetic background are correlated and, in turn, associated with AD. We provided mechanistic insights for these correlations and had shown that by genetically increasing and decreasing PM20D1 levels, AD-related pathologies were decreased and accelerated, respectively. However, since the PM20D1 QTL region encompasses also other genes, namely Nuclear Casein Kinase and Cyclin Dependent Kinase Substrate 1 (NUCKS1); RAB7, member RAS oncogene family-like 1 (RAB7L1); and Solute Carrier Family 41 Member 1 (SLC41A1), we investigated whether these genes might also contribute to the described AD association. Results Here, we report a comprehensive analysis of these QTL genes using a repertoire of in silico methods as well as in vivo and in vitro experimental approaches. First, we analyzed publicly available databases to pinpoint the major QTL correlations. Then, we validated these correlations using a well-characterized set of samples and locus-specific approaches-i.e., Sanger sequencing for the genotype, cloning/sequencing and pyrosequencing for the DNA methylation, and allele-specific and real-time PCR for the RNA expression. Finally, we defined the functional relevance of the observed alterations in the context of AD in vitro. Using this approach, we show that only PM20D1 DNA methylation and expression are significantly correlated with the AD-risk associated background. We find that the expression of SLC41A1 and PM20D1-but not NUCKS1 and RAB7L1-is increased in mouse models and human samples of AD, respectively. However, SLC41A1 and PM20D1 are differentially regulated by AD-related stressors, with only PM20D1 being upregulated by amyloid-beta and reactive oxygen species, and with only PM20D1 being neuroprotective when overexpressed in cell and primary cultures. Conclusions Our findings reinforce PM20D1 as the most likely gene responsible of the previously reported PM20D1 QTL association with AD.

Roles of Epigenetic Dysregulation in Cancer Progression and Metastasis

Mohammad Sadegh Saghafinia

Nearly all the cells of an organism share the same DNA sequence or genome, and yet they show different phenotypes and carry out different functions. This diversity is made possible by a verity of molecular modifications acting on the DNA sequence that collectively define the cell's epigenome. Failure in the proper regulation of epigenome can lead to abnormal activation or inhibition of vital signaling pathways, which contributes to the initiation and progression of multiple diseases, including cancer. In this thesis, I used a combination of in silico, in vitro, and in vivo techniques to explore the roles of epigenetic dysregulation in tumor progression and metastasis. In the first part, I performed a systematic and unbiased investigation of cancer-associated DNA methylation and gene expression changes across human cancers. I designed a novel algorithmic approach (RESET) to identify aberrant DNA methylation and associated gene expression changes across >6,000 human tumors. We identified a DNA Methylation Instability (DMI) phenotype in tumors acquiring numerous hyper and hypomethylated transcription start sites, which is associated with mutations of chromatin remodeling factors and Wnt-signaling. We showed that silenced genes coalesced in specific pathways including apoptosis, transcriptional regulation, and cell metabolism. The majority of the enhanced genes belonged to cancer-germline antigens (CG), whose expression correlated with response to anti-PD-1 in melanoma patients. Finally, we demonstrated the potential of RESET to explore aberrant DNA methylation in pediatric tumors; pediatric Wilms tumors with diffuse anaplasia exhibit DMI, and specific silencing events predict a worse outcome in cases with favorable histology. These results established a new approach to explore pan-cancer epigenetic modifications and provided a resource of candidate oncogenic events for future functional and therapeutic studies. In the second part, I studied the dynamics of cancer progression and metastasis in Pancreatic Neuroendocrine Tumors (PanNET). This rare tumor is the second most common form of pancreatic cancer. Two principal subtypes of PanNET has been identified: insulinomas (IT) and metastasis-like primaries (MLP), corresponding to the low and high grade of human PanNETs, respectively. From the mouse model of PanNET (RT2), we profiled the single-cell, bulk mRNA and miRNA transcriptomes, and the proteomes of primary and metastasis specimens. We demonstrated that the tumor progression from IT to MLP follows the reverse embryonic and postnatal developmental path. Transcriptomic data from human patients showed that aggressive human PanNETs also follow the same reverse developmental trajectory of dedifferentiation. We established one possible mechanism underlying IT-to-MLP transition. Over-expression of the miR-181cd cluster in IT-like cancer cell-lines resulted in acquisition of the MLP phenotypes. miR-181cd mediated its effect through suppressing the expression of Meis2 and, indirectly, inducing the expression of Hmgb3 and Mycn transcription factors. Inhibiting the expression of Hmgb3 in MLP-like cancer cell-lines resulted in a significant growth decrease both in vitro and in vivo, demonstrating the importance of Hmgb3 in the maintenance of MLP-like cell state. These data presented dedifferentiation as a mechanism by which malignant neuroendocrine cancer cells acquire progenitor-like features, enabling them to become more aggressive and metastatic.

EPFL2020

Toward a mechanistic understanding of variable chromatin modules

Gerard Llimos Aubach

Our genome is a long sequence of DNA that contains all the information to be able to constitute a living organism like us, similarly to what the letters in a book do to create a story. This sequence, which is a stretch of molecules called nucleotides, is almost identical between organisms of the same species (>99.9% in humans), however it varies in a small percentage due to some nucleotides being different at specific positions of the genome. This variation in the DNA will therefore influence our traits and affect our susceptibility to a certain condition. Thus, their study is highly relevant in genetics and biomedicine since they allow not only to predict the predisposition to a disease, such as cancer, but also to understand the molecular and cellular mechanism behind a certain phenotype. The effect of a genetic variant on a phenotype is given by their capacity to modulate the expression of a gene, either by directly impacting its sequence and thus changing the protein, or by regulating its expression levels. Interestingly, more than 88% of the disease-associated genetic variants present in humans are located outside genes, on the so-called non-coding part of the genome. This poses a challenge to identify what gene the genetic variant affects and to understand how it does so. Genetic variants do not only influence gene expression but they also affect the epigenetics state of the DNA (i.e. DNA methylation, histone marks, transcription factor (TF) binding...) and its 3D conformation, consequently modifying the activity of gene regulatory elements like promoters and enhancers. Previously, it has been shown that some of these regulatory regions located in the same locus exhibit a high level of molecular coordination and interindividual variation, mostly affected by genetic variation or environmental effects. These regions were termed variable chromatin modules (VCMs) or cis-regulatory domains (CRDs) and are thought to be the manifestation of fine-grained regulatory units of the genome. Understanding how a VCM is formed and the molecular basis behind the cooperativity between regulatory elements is an outstanding question in the field. In this work, we aim at resolving part of this puzzle by mechanistically dissecting one VCM that is influenced by a non-coding germline variant in B cells. Using a set of tools such as genetic engineering, TF binding assays and chromosome conformation studies, we demonstrate that this variant creates a de novo binding site for the TF MEF2, which acts as a pioneering factor for dozens of other collaborating TFs. In turn, this actuates a cluster of enhancers spanning a region over 150 kilobases (kb) that regulates AXIN2 gene expression, and is associated with a global compaction of the chromatin. In addition, in line with the known tumor-suppressor properties of AXIN2, we found that this variant influences chronic lymphocytic leukemia (CLL) progression and predisposition. Together, the characterization of the AXIN2 VCM provides an unique example to the community of how a germline variant is able to switch on an entire genomic locus with high degree of cooperativity between regulatory elements, since it captures both the formation and transition behavior of a VCM. Furthermore, given the link with CLL, this focal variant could have translational potential by serving as a patient-stratifying or treatment diagnostic.

EPFL2021

Conversion of mouse neural stem cells into glioma cancer stem cells

Caroline Turk

Gliomas are the most common and lethal primary adult human brain cancers. The most lethal form of glioma is glioblastoma multiforme (GBM). Multiple apparently differentiated cell types are present within these tumours, including varying proportions of astrocytes and oligodendrocytes. The identification of new GBM subtypes, the role of the cell-of-origin and the role of commonly disrupted genes are active areas of investigation. Of particular interest to this laboratory is the recent realisation that GBMs may be driven by and initiated from tumorigenic stem cells. Our goal was to develop a mouse model of the disease based on genetic manipulation of in vitro neural stem (NS) cell lines. Importantly, this would enable us to define the contribution of each oncogenic pathway in altering the self-renewal of these cells. The original hypothesis was that the simultaneous activation of three critical pathways (RTK/PI3K, Rb and p53) would be required to confer a glioma-like phenotype. However, surprisingly we found that forced expression of the commonly amplified cyclin dependent kinase-4 (CDK4) was sufficient to elicit reduced dependency on growth factor signalling and a decreased sensitivity to the differentiation factor BMP4. Moreover, preliminary results indicate that the mRNA expression of the proto-oncogene Akt2 increases in CDK4 transfectants, suggestive of a feedback mechanism. We tested whether constitutive expression of Akt2 together with CDK4 increases the severity of the phenotype and initial results suggest this is the case. These findings provide encouragement that minimal genetic events will be required in order to transform NS cells in vitro. These cells can now be tested for in vivo tumorigenicity following transplantation. Finally, we have also generated CDK4 overexpressing cell lines in a specific NS cell variant which I identified as expressing an oligodendrocyte differentiation bias (MG1-7). We are therefore now in a position to assess whether differentiation behaviour is affected by the disruption of this pathway. Together these findings highlight the utility of mouse NS cells as a tool to study glioma

2009