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Mesenchymal (stromal) stem cells (MSCs) constitute populations of mesodermal multipotent cells involved in tissue regeneration and homeostasis in many different organs. Here we performed comprehensive characterization of the transcriptional and epigenomic changes associated with osteoblast and adipocyte differentiation of human MSCs. We demonstrate that adipogenesis is driven by considerable remodeling of the chromatin landscape and de novo activation of enhancers, whereas osteogenesis involves activation of preestablished enhancers. Using machine learning algorithms for in silico modeling of transcriptional regulation, we identify a large and diverse transcriptional network of pro-osteogenic and antiadipogenic transcription factors. Intriguingly, binding motifs for these factors overlap with SNPs related to bone and fat formation in humans, and knockdown of single members of this network is sufficient to modulate differentiation in both directions, thus indicating that lineage determination is a delicate balance between the activities of many different transcription factors.

Chromatin immunoprecipitation (ChIP) is a powerful technique allowing for investigation of protein-DNA interactions in living cells. Here, we provide a detailed step-by-step protocol for ChIP and highlight important considerations, challenges and pitfalls often encountered in the ChIP procedure. Furthermore, we present data of key quality control (QC) steps and exemplify material performance validation on transcription factor ChIP to provide a QC guide for setting up ChIP. Finally, we provide guidelines for scaling of the ChIP procedure to ChIP sequencing (ChIP-seq) and discuss important considerations associated with this.

It is becoming increasingly clear that transcription factors operate in complex networks through thousands of genomic binding sites, many of which bind several transcription factors. However, the extent and mechanisms of crosstalk between transcription factors at these hotspots remain unclear. Using a combination of advanced proteomics and genomics approaches, we identify ∼12,000 transcription factor hotspots (∼400 bp) in the early phase of adipogenesis, and we find evidence of both simultaneous and sequential binding of transcription factors at these regions. We demonstrate that hotspots are highly enriched in large super-enhancer regions (several kilobases), which drive the early adipogenic reprogramming of gene expression. Our results indicate that cooperativity between transcription factors at the level of hotspots as well as super-enhancers is very important for enhancer activity and transcriptional reprogramming. Thus, hotspots and super-enhancers constitute important regulatory hubs that serve to integrate external stimuli on chromatin., (Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.)

The recent advances in high-throughput sequencing combined with various other technologies have allowed detailed and genome-wide insight into the transcriptional networks that control adipogenesis. Chromatin immunoprecipitation (ChIP) combined with high-throughput sequencing (ChIP-seq) is one of the most widely used of these technologies. Using these methods, association of transcription factors, cofactors, and epigenetic marks can be mapped to DNA in a genome-wide manner. Here, we provide a detailed protocol for performing ChIP-seq analyses in preadipocytes and adipocytes. We have focused mainly on critical points, limitations of the assay, and quality controls required in order to obtain reproducible ChIP-seq data., (© 2014 Elsevier Inc. All rights reserved.)

Adipogenesis is tightly controlled by a complex network of transcription factors acting at different stages of differentiation. Peroxisome proliferator-activated receptor γ (PPARγ) and CCAAT/enhancer-binding protein (C/EBP) family members are key regulators of this process. We have employed DNase I hypersensitive site analysis to investigate the genome-wide changes in chromatin structure that accompany the binding of adipogenic transcription factors. These analyses revealed a dramatic and dynamic modulation of the chromatin landscape during the first hours of adipocyte differentiation that coincides with cooperative binding of multiple early transcription factors (including glucocorticoid receptor, retinoid X receptor, Stat5a, C/EBPβ and -δ) to transcription factor 'hotspots'. Our results demonstrate that C/EBPβ marks a large number of these transcription factor 'hotspots' before induction of differentiation and chromatin remodelling and is required for their establishment. Furthermore, a subset of early remodelled C/EBP-binding sites persists throughout differentiation and is later occupied by PPARγ, indicating that early C/EBP family members, in addition to their well-established role in activation of PPARγ transcription, may act as pioneering factors for PPARγ binding.

Hepatic circadian gene transcription is tightly coupled to feeding behavior, which has a profound impact on metabolic disorders associated with diet-induced obesity. Here, we describe a genomics approach to uncover mechanisms controlling hepatic postprandial gene expression. Combined transcriptomic and cistromic analysis identified hundreds of circadian-regulated genes and enhancers controlled by feeding. Postprandial suppression of enhancer activity was associated with reduced glucocorticoid receptor (GR) and Forkhead box O1 (FOXO1) occupancy of chromatin correlating with reduced serum corticosterone levels and increased serum insulin levels. Despite substantial co-occupancy of feeding-regulated enhancers by GR and FOXO1, selective disruption of corticosteroid and/or insulin signaling resulted in dysregulation of specific postprandial regulated gene programs. In combination, these signaling pathways operate a major part of the genes suppressed by feeding. Importantly, the feeding response was disrupted in diet-induced obese animals, which was associated with dysregulation of several corticosteroid- and insulin-regulated genes, providing mechanistic insights to dysregulated circadian gene transcription associated with obesity. [ABSTRACT FROM AUTHOR]

The three dimensional folding of mammalian genomes is cell type specific and difficult to alter suggesting that it is an important component of gene regulation. However, given the multitude of chromatin-associating factors, the mechanisms driving the colocalization of active chromosomal domains and the role of this organization in regulating the transcription program in adipocytes are not clear. Analysis of genome-wide chromosomal associations revealed cell type-specific spatial clustering of adipogenic genes in 3T3-L1 cells. Time course analysis demonstrated that the adipogenic 'hub', sampled by PPARγ and Lpin1, undergoes orchestrated reorganization during adipogenesis. Coupling the dynamics of genome architecture with multiple chromatin datasets indicated that among all the transcription factors (TFs) tested, RXR is central to genome reorganization at the beginning of adipogenesis. Interestingly, at the end of differentiation, the adipogenic hub was shifted to an H3K27me3-repressive environment in conjunction with attenuation of gene transcription. We propose a stage-specific hierarchy for the activity of TFs contributing to the establishment of an adipogenic genome architecture that brings together the adipogenic genetic program. In addition, the repositioning of this network in a H3K27me3-rich environment at the end of differentiation may contribute to the stabilization of gene transcription levels and reduce the developmental plasticity of these specialized cells. Database All sequence data reported in this paper have been deposited at GEO () () [ABSTRACT FROM AUTHOR]

Adipocyte differentiation is tightly controlled by a transcriptional cascade, which directs the extensive reprogramming of gene expression required to convert fibroblast-like precursor cells into mature lipid-laden adipocytes. Recent global analyses of transcription factor binding and chromatin remodeling have revealed ‘snapshots’ of this cascade and the chromatin landscape at specific time-points of differentiation. These studies demonstrate that multiple adipogenic transcription factors co-occupy hotspots characterized by an open chromatin structure and specific epigenetic modifications. Such transcription factor hotspots are likely to represent key signaling nodes which integrate multiple adipogenic signals at specific chromatin sites, thereby facilitating coordinated action on gene expression. [ABSTRACT FROM AUTHOR]

Summary: PPARγ and Wnt signaling are central positive and negative regulators of adipogenesis, respectively. Here we identify the groucho family member TLE3 as a transcriptional integrator of the PPARγ and Wnt pathways. TLE3 is a direct target of PPARγ that participates in a feed-forward loop during adipocyte differentiation. TLE3 enhances PPARγ activity and functions synergistically with PPARγ on its target promoters to stimulate adipogenesis. At the same time, induction of TLE3 during differentiation provides a mechanism for termination of Wnt signaling. TLE3 antagonizes TCF4 activation by β-catenin in preadipocytes, thereby inhibiting Wnt target gene expression and reversing β-catenin-dependent repression of adipocyte gene expression. Transgenic expression of TLE3 in adipose tissue in vivo mimics the effects of PPARγ agonist and ameliorates high-fat-diet-induced insulin resistance. Our data suggest that TLE3 acts as a dual-function switch, driving the formation of both active and repressive transcriptional complexes that facilitate the adipogenic program. [ABSTRACT FROM AUTHOR]

Background: The transcription factors peroxisome proliferator activated receptor γ (PPARγ) and CCAAT/enhancer binding protein α (C/EBPα) are key transcriptional regulators of adipocyte differentiation and function. We and others have previously shown that binding sites of these two transcription factors show a high degree of overlap and are associated with the majority of genes upregulated during differentiation of murine 3T3-L1 adipocytes. Results: Here we have mapped all binding sites of C/EBPα and PPARγ in human SGBS adipocytes and compared these with the genome-wide profiles from mouse adipocytes to systematically investigate what biological features correlate with retention of sites in orthologous regions between mouse and human. Despite a limited interspecies retention of binding sites, several biological features make sites more likely to be retained. First, co-binding of PPARγ and C/EBPα in mouse is the most powerful predictor of retention of the corresponding binding sites in human. Second, vicinity to genes highly upregulated during adipogenesis significantly increases retention. Third, the presence of C/EBPα consensus sites correlate with retention of both factors, indicating that C/EBPα facilitates recruitment of PPARγ. Fourth, retention correlates with overall sequence conservation within the binding regions independent of C/EBPα and PPARγ sequence patterns, indicating that other transcription factors work cooperatively with these two key transcription factors. Conclusions: This study provides a comprehensive and systematic analysis of what biological features impact on retention of binding sites between human and mouse. Specifically, we show that the binding of C/EBPα and PPARγ in adipocytes have evolved in a highly interdependent manner, indicating a significant cooperativity between these two transcription factors. [ABSTRACT FROM AUTHOR]

Abstract: Adipocyte differentiation is controlled by a tightly regulated transcriptional cascade in which PPARγ and members of the C/EBP family are key players. Here we review the roles of PPARγ and C/EBPs in adipocyte differentiation with emphasis on the recently published genome-wide binding profiles for PPARγ and C/EBPα. Interestingly, these analyses show that PPARγ and C/EBPα binding sites are associated with most genes that are induced during adipogenesis suggesting direct activation of many more adipocyte genes than previously anticipated. Furthermore, an extensive overlap between the C/EBPα and PPARγ cistromes indicate a hitherto unrecognized direct crosstalk between these transcription factors. As more genome-wide data emerge in the future, this crosstalk will likely be found to include several other adipogenic transcription factors. [ABSTRACT FROM AUTHOR]