Gene regulatory dynamics underlying brown fat cell differentiation

Adipose tissue is increasingly recognized as a dynamic, endocrine organ responsible for regulating metabolic homeostasis via the collective action of its two principal subtypes: white adipose tissue (WAT) and brown adipose tissue (BAT). Recently, the discovery of metabolically active brown fat reserves and brown in white fat (also known as "brite" or "beige" fat) in adult humans has prompted fundamental research to understand the development and function of brown adipocytes. The functional property of brown adipocytes is executed by the mitochondrial protein, Un- coupling Protein 1 (UCP1). UCP1 is responsible for uncoupling oxidative phosphorylation from ATP production thereby dissipating heat. The gene expression of Ucp1 is orchestrated by a multitude of transcriptional regulators and co-regulators that are distinct from those governing white adipocyte differentiation and function. However, in contrast to its counter- part, the white adipocyte, the gene regulatory mechanisms and transcriptional drivers of the brown adipocyte differentiation program remain elusive. Thus the focus of this thesis is to elucidate the gene regulatory network underlying brown fat cell differentiation and to decou- ple differentiation from the thermogenesis program using an integrative genomics approach. The main contributions of this work are as follows (1) construction of a comprehensive map integrating signaling, transcriptional and metabolic modules necessary for the activation of a brown adipocyte, (2) systematic, comprehensive analysis of transcriptional and chromatin state dynamics during brown fat cell differentiation leading to the identification of novel transcriptional regulators, (3) genomic characterization of the TF BCL6 during brown fat cell differentiation and (4) phenotypic characterization of a novel conditional BCL6 knockout mouse model.

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

The role and transcriptional regulation of FAM46A in adipocyte differentiation

Ann-Kristin Hov

Obesity is currently a leading global health concern. Treatments include undergoing a weight-loss regimen. However, successful weight-loss is variable, where the heritability of obesity is considered part of the cause. This patient variability to weight-loss was addressed by Carayol et al. (2017), where protein plasma level changes was associated to genetic variability and changes in BMI under a low-calorie diet intervention. A highly significant association region was found to regulate downstream gene FAM46A; coding for a nucleotidyl-transferase protein. Loss of function mutations in FAM46A have previously been discovered in multiple human diseases, such as osteogenesis imperfecta. However, there is a lack of understanding of FAM46Aâs function, especially in the context of adipose tissue and metabolism. This thesis aimed to follow up on the Carayol et al. study by investigating the transcriptional regulation of FAM46A and how the associated region is influencing this regulation, as well as how FAM46A is involved in adipose tissue function. When mapping the physical DNA interaction network around the associated region using chromosome conformation capture (3C) in human subcutaneous adipocytes (SGBS cells), no interactions between the FAM46A promoter and selected loci of the associated region were found. Interestingly, significant interaction peaks downstream of the promoter overlapped with regions of open chromatin and were enriched for transcription factor (TF) motifs that are involved in stem cell differentiation and TGFÎ² signalling. SMAD4, part of the TGFÎ² signalling pathway, binds to this region, indicating a potential regulator of FAM46A. To address FAM46Aâs potential role in adipocyte function, FAM46A expression was disrupted in vitro in differentiating adipocytes. Reduction of FAM46A expression in SGBS cells resulted in decreased expression of PPARG and CEBPA, the master regulators of adipogenesis, complemented by a reduction in lipid accumulation. Follow up studies in murine mesenchymal stem cells where Fam46a was over-expressed were controversial as this led to a decrease in adipogenic markers (Adipoq and PPARðŸ). Overall, disruption of FAM46A expression led to opposing changes in adipogenic potential, suggesting the requirement for a more stable cell system to study FAM46A in vitro. To further characterise the role of Fam46a, metabolic phenotyping of a Fam46a knockout (KO) mouse model under hyper-caloric stress was performed in collaboration with the IMG in Prague. This model revealed a significantly smaller mouse, and increased plasma alkaline phosphatase, as previously observed. When fed a high-fat diet, KO mice had reduced overall fat mass, improved glucose clearance and reduced adipocyte size in both subcutaneous and visceral white adipose tissue (subWAT/visWAT) depots. Transcriptomic analysis of these two depots revealed an up-regulation of genes expressed in ribosome related pathways in the subWAT, whereas the visWAT showed the up-regulation of fatty acid metabolism pathways, suggesting that the KO adipose tissue is more metabolically active. Other down-regulated pathways involved stem cell differentiation and BMP/TGFÎ²-signalling. In conclusion, this study found the possible regulation of the FAM46A promoter by TFs involved in adipogenesis regulation, such as SMAD proteins, as well as strengthening its possible functional involvement in TGFÎ² signalling by enrichment of this pathway in KO studies.

EPFL2021

Identification of the transcription factor ZEB1 as a central component of the adipogenic gene regulatory network

Andrea Corsinotti, Bart Deplancke, Sunil Kumar Raghav, Petra Catalina Schwalie, Didier Trono, Gilles Udin, Sebastian Martin Waszak

Adipose tissue is a key determinant of whole body metabolism and energy homeostasis. Unraveling the regulatory mechanisms underlying adipogenesis is therefore highly relevant from a biomedical perspective. Our current understanding of fat cell differentiation is centered on the transcriptional cascades driven by the C/EBP protein family and the master regulator PPAR gamma. To elucidate further components of the adipogenic gene regulatory network, we performed a large-scale transcription factor (TF) screen overexpressing 734 TFs in mouse pre-adipocytes and probed their effect on differentiation. We identified 23 novel pro-adipogenic TFs and characterized the top ranking TF, ZEB1, as being essential for adipogenesis both in vitro and in vivo. Moreover, its expression levels correlate with fat cell differentiation potential in humans. Genomic profiling further revealed that this TF directly targets and controls the expression of most early and late adipogenic regulators, identifying ZEB1 as a central transcriptional component of fat cell differentiation.