Nuclear Factor I genomic binding associates with chromatin boundaries

Background: The Nuclear Factor I (NFI) family of DNA binding proteins (also called CCAAT box transcription factors or CTF) is involved in both DNA replication and gene expression regulation. Using chromatin immuno-precipitation and high throughput sequencing (ChIP-Seq), we performed a genome-wide mapping of NFI DNA binding sites in primary mouse embryonic fibroblasts. Results: We found that in vivo and in vitro NFI DNA binding specificities are indistinguishable, as in vivo ChIP-Seq NFI binding sites matched predictions based on previously established position weight matrix models of its in vitro binding specificity. Combining ChIP-Seq with mRNA profiling data, we found that NFI preferentially associates with highly expressed genes that it up-regulates, while binding sites were under-represented at expressed but unregulated genes. Genomic binding also correlated with markers of transcribed genes such as histone modifications H3K4me3 and H3K36me3, even outside of annotated transcribed loci, implying NFI in the control of the deposition of these modifications. Positional correlation between + and - strand ChIP-Seq tags revealed that, in contrast to other transcription factors, NFI associates with a nucleosomal length of cleavage-resistant DNA, suggesting an interaction with positioned nucleosomes. In addition, NFI binding prominently occurred at boundaries displaying discontinuities in histone modifications specific of expressed and silent chromatin, such as loci submitted to parental allele-specific imprinted expression. Conclusions: Our data thus suggest that NFI nucleosomal interaction may contribute to the partitioning of distinct chromatin domains and to epigenetic gene expression regulation. NFI ChIP-Seq and input control DNA data were deposited at Gene Expression Omnibus (GEO) repository under accession number GSE15844. Gene expression microarray data for mouse embryonic fibroblasts are on GEO accession number GSE15871.

Computational study of transcription factor binding sites

Romain Fernand Pietro Groux

Any living organism contains a whole set of instructions encoded as genes on the DNA. This set of instructions contains all the necessary information that the organism will ever need, from its development to a mature individual to environment specific responses. Since all these instructions are not needed at the same time, the gene expression needs to be regulated. Eukaryotic genomes are stored inside nuclei as chromatin. The chromatin is the association of DNA with dedicated storage proteins - the histones - and the necessary machinery to regulate and express genes (RNA polymerases or RNAPs). In the nuclei, histones are assembled into octamers around which are wrapped ~148bp of DNA. This structure is known as the nucleosome. The repetition of nucleosomes along the genome allows to drastically compact the genome, eventually allowing to fit it inside the nucleus. However, this comes at the cost of rendering the DNA sequence inaccessible to DNA readers, such as the RNAPs and transcription factors (TFs). TFs are a class of proteins that have the remarkable property of recognizing and binding specific DNA sequences. More striking, each TF can recognize a multitude of different - but similar - DNA sequences providing TFs with a wide sequence specificity range. Eventually, this allows the cell to recruit TFs at dedicated locations in the genome called regulatory elements (REs). The action of TFs at REs is crucial to gene expression. Indeed, TFs are involved in many processes such as the opening of the chromatin structure or the recruitment of RNAPs. However if TFs can influence the chromatin structure, the opposite is also true as histones impede TF binding on DNA. Thus the regulation of genes relies on a subtle and complex crosstalk between the chromatin and TFs. To better understand how TFs and chromatin interact together to regulate gene expression, I lead several projects prospecting TF binding specificity and the chromatin structure at REs in human. First, I used ENCODE next generation sequencing (NGS) data to explore how TF binding influences the nearby nucleosome organization and the propensity of some TFs to bind together. The results suggest that regular nucleosome arrays are found near all TFs. They also point out two special cases. When CTCF binds with the cohesin complex, it seems to drive the nucleosome organization, which is a unique feature among all TFs investigated. Additionally I present evidence supporting that EBF1 is a pioneer factor - a special class of TFs able to bind nucleosome. Secondly, I developed several clustering algorithms and software to partition genomic regions according to NGS data and/or on their DNA sequences. These methods allow to discover important trends, for instance different nucleosome architectures . I illustrated the usefulness of these methods for the study of chromatin accessibility data and the identification of REs. Thirdly, I participated to the assessment of SMiLE-seq, a new microfluidic device that generates TF specificity data. The creation of TF specificity models and their comparison with other publicly available models demonstrated the value of SMiLE-seq to study TF specificity. Finally, I participated in the development of a software that predicts TF binding sites. A careful benchmarking suggested that this software is - at the time of writing - the best available software in terms of speed while showing other performances similar to its competitors.

EPFL2020

Rhythmic and clock-dependent chromatin loops regulate circadian gene expression

Jérôme Mermet

In mammals the circadian clock drives daily behavioural and physiological changes that resonate with environmental cues, which can be observed, for example, in the intricate timing of rest during the night and activity during the day in humans. The circadian clock consists of a network of hierarchical clocks in which the central pacemaker is located in the suprachiasmatic nucleus, which is sensitive to external light and propagates time to the peripheral organ-based clocks. Within organs, clocks tick in each individual cell and are molecularly encoded in the genome as a network of dynamic feedback loops. By mediating the expression of the appropriate gene products at the correct moment of the day, the molecular clocks op-timize physiological functions of virtually every cell in our body, allowing us to synchronize with daily fluc-tuations in the environment. In mammalian cells the chromatin organization in the nucleus consists of a topological network, in which chromatin interactions between distal regulatory elements such as enhancers and target genes are essen-tial to regulate gene expression. Important questions remain: is the complex chromatin folding dynamic and if so on which genomic and temporal scales? In fact, dynamic rearrangements of the chromatin have been reported on multiple genomic and time scales, from the entire genome to enhancer-promoter con-tacts, across developmental transitions, cellular differentiation, and transcription cycles. With this per-spective in mind, the circadian oscillator provides a unique model to study the dynamics of genomic inter-actions in the context of fluctuating transcription. Here, we explored chromatin contacts of core-clock and clock-controlled gene promoters in the mouse. We aimed at evaluating the putative dynamics of chromatin contacts, at estimating their conservation across tissues, and at exploring the contribution of the circadian clock to this interaction network. To achieve this goal, we performed 4C-sequencing assays at two circadian time points in the liver and kidney of WT and clock-deficient animals. Overall, we observe that chromatin contacts are largely conserved across circadian time points and genetic backgrounds, and are tissue-specific. Our experiments reveal that the promoters of core-clock and clock-controlled genes contact distal genomic regions containing en-hancer chromatin signatures, suggesting a functional role of these distal sites in target gene regulation. Our data also suggest a clock-driven module of rhythmic genes that are colocalized in the nucleus. However, we also observe dynamic contacts between oscillating gene promoter and enhancer-like ge-nomic regions. In this thesis, we discuss in detail two examples of dynamic chromatin looping that are ob-served at the Cry1 and Gys2 loci. Our data reveal not only a dynamic coupling between the chromatin loop and the transcriptional state but also that the dynamic of chromatin looping depends on a functional clock. Furthermore, genome editing experiments using CRISPR-Cas9 tools reveal that the Cry1 distal site is essential for the transcriptional regulation of Cry1 and contributes to the circadian clock robustness both in-vivo and in cultured cells. These results demonstrate how local chromatin rearrangements take place in a 24-hour time-scale and set chromatin looping between gene promoters and distal regions as a new reg-ulatory layer for circadian gene expression.

EPFL2017

Exploring on Protein-DNA interactions

Alexandra Styliani Kalantzi

A variety of DNA-binding proteins organizes the chromosomal DNA and regulates gene transcription, and DNA replication and recombination. In particular, for gene regulation there is a category of DNA-binding proteins, the transcription factors, which can detect and bind to a specific set of DNA motifs. For the protein-DNA complexes there are some solved structures, but for some cases, it is difficult to define experimentally these structures at the atomistic level. However, there are various in silico methods, that alone or in combination with experimental techniques, are capable of predicting proteins structures with high accuracy. DNA-binding proteins contain DNA-binding domains and unfortunately, there are few protein-DNA complexes that have been characterized at atomistic resolution. Here we have developed artificial neural networks to predict the binding sites and the interface between proteins and the DNA, based on a structure-based approach. Specifically, we used different interface descriptors and we included a variety of protein-DNA complexes, in order to predict the correct localizations of the DNA on a protein. A large group of proteins that can recognize specific DNA sequences is the KRAB-ZFP family. DNA recognition by zinc finger proteins (ZFPs) plays an important role in gene regulation. However, the molecular determinants defining the recognition of specific DNA nucleotides by ZFP finger repeats has not yet been decoded. Here, we present a method that can predict which ZF repeats specifically bind to a DNA target sequence and what is the most probable DNA target sequence for these repeats. Our method is based on the structural analysis of the binding network of resolved protein DNA complexes, and is validated on a benchmark set of solved ZFP-DNA complexes. We also characterized the binding specificity of two KRAB-ZFPs (ZFP14 and ZNF145) integrating our predictions with SMiLE-seq (Selective Microfluidics-based Ligand Enrichment followed by sequencing) data. Subsequently, we use our recognition code on ChIP-exo data, in order to give an insight into the poly-ZF domains binding patterns. We determined the most probable binding motifs and we separated the ZFPs in two groups: the ones that have a potential canonical and non-canonical binding. Altogether, this work gives an insight into the proteins that interact with the DNA, through a better understanding of the various protein-DNA interfaces and the predictions of these complexes at the atomistic level.

EPFL2019