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The regulatory regions of the human papillomaviruses (HPVs) 9, 17, 20, and 36 were mapped, sequenced, and aligned. They revealed an arrangement of putative protein binding sites specific for the epidermodysplasia verruciformis associated HPVs. Three subgroups could be differentiated.
Since the original publication of Model-based Analysis for ChIP-Seq (MACS), the software has been widely used to identify enriched genomic regions in ChIP-seq, ATAC-seq, CUT&RUN, DNase-seq, and related regulatory genomics assays. Over the years, MACS has evolved substantially, with MACS version 3 (MACS3) now serving as the actively maintained implementation. MACS3 preserves the core MACS framework for fragment pileup, dynamic local background noise, statistical enrichment testing, and peak refinement, while adding functionality needed for contemporary bulk and single-cell workflows. It supports conventional bulk peak calling, paired-end and fragment-based file formats, modular signal processing, direct analysis of single-cell ATAC-seq fragment files, barcode-restricted pseudobulk and cluster-level peak calling, specialized ATAC-seq and variant-calling modules, as well as command-line and programmatic interfaces. MACS3 is distributed through standard software channels and supported by continuous testing across operating systems, Python versions, and CPU architectures. Here we describe the architecture, current capabilities, and recommended use of MACS3, providing an updated reference for applying the MACS framework in contemporary bulk and single-cell regulatory genomics workflows. MACS3 is open-source software available at https://github.com/macs3-project/MACS.
We present the computer tool FUNSITE for description and analysis of regulatory sequences of eukaryotic genomes. The tool consists of the following main parts: 1) An integrated database for genomic regulatory sequences. The integrated database was designed on the basis of the databases TRANSFAC (Wingender 1994) and TRRD (Kel et al. 1995) that are currently under development. The following functions are performed: i) linkage to the EMBL database; ii) preparing samples of definite types of functional sites with their flanking sequences; iii) preparing samples of promoter sequences; iv) preparing samples of transcription factors classified with regard to structural and functional features of DNA binding and activating domains, functional families of the factors, their tissue specificity and other functional features; v) access to data on mutual disposition of cis-elements within the regulatory regions. 2) The second component of FUNSITE tool is the set of programs for analysis of the structural organization of regulatory sequences: i) Program for revealing of potential transcription factors binding sites based on their consensi; ii) program for revealing of the potential binding sites using homology search with nucleotide sequences of real binding sites; iii) program for analysis of oligonucleotide context features which are characteristic of flank sequences of the binding sites; iv) program for design of recognition method for the functional sites based on generalized weight matrix; v) program for revealing potential composite elements. The results of analysis of the promoter sequences of eukaryotic genes with the FUNSITE are presented, too.
The synthesis of gene expression data and cis-regulatory analysis permits the elucidation of genomic regulatory networks. These networks provide a direct visualization of the functional interconnections among the regulatory genes and signaling components leading to cell-specific patterns of gene activity. Complex developmental processes are thereby illuminated in ways not revealed by the conventional analysis of individual genes. In this review, we describe emerging networks in several different model systems, and compare them with the gene regulatory network that controls dorsoventral patterning of the Drosophila embryo.
In this project we study the relationship between genomic regulatory element organization and gene regulatory dynamics. This paper illustrates an approach to investigating this relationship based on the application of classical nonlinear system analysis techniques to a transcription level, statistical thermodynamical model like that used in Shea & Ackers (1985). Preliminary ideas presented at the ICMCM conference (Wolf & Eeckman, 1998) are developed in this manuscript. We show that, for prokaryotic gene circuits dominated by local promoter control, dynamical system behavior descriptors like the number and stability of equilibrium point steady states and their bifurcation potential can be largely determined from genomic organization (e.g. the number, type, and placement of regulatory protein binding sites). Concepts are illustrated on hypothetical gene regulation systems with one or two genes and varying numbers of regulatory protein binding sites (operators). Gene regulatory systems with a single gene and an arbitrary number of operator sites are shown to be globally stable, with the potential for having multiple equilibrium points and capable of bifurcating. A monomer-controlled gene regulation system with n operator sites is proven to have a maximum of 1+n/2 stable equilibria for even n, and (n+1)/2 for odd n, while a multimer-controlled, n operator site system is shown to have a maximum of 2+n/2 stable equilibria for even n, and (n+3)/2 for odd n. These results are applied to the design of a two-state switch using a gene regulation system with two operator sites. The question "what is the simplest possible gene regulation system capable of acting like a switch?" is answered. The paper ends with an analysis of a two-gene regulation system, the results of which point to the existence of a "soft-switching" mechanism that may account for the "on-off" hypothesized behavior of some gene networks.
Comparative sequence analysis is contributing to the identification and characterization of genomic regulatory regions with functional roles. It is effective because functionally important regions tend to evolve at a slower rate than do less important regions. The choice of species for comparative analysis is crucial: shared ancestry of a clade of species facilitates the discovery of genomic features important to that clade, whereas increased sequence divergence improves the resolution at which features can be discovered. Recent studies suggest that comparative analyses are useful for all branches of life and that, in the near future, large-scale mammalian comparative sequence analysis will provide the best approach for the comprehensive discovery of human regulatory elements.
Sequence conservation in non-coding, upstream regions of orthologous genes from man and mouse is likely to reflect common regulatory DNA sites. Motivated by this assumption we have delineated a catalogue of conserved non-coding sequence blocks and provide the CORG-'COmparative Regulatory Genomics'-database. The data were computed based on statistically significant local suboptimal alignments of 15 kb regions upstream of the translation start sites of, currently, 10 793 pairs of orthologous genes. The resulting conserved non-coding blocks were annotated with EST matches for easier detection of non-coding mRNA and with hits to known transcription factor binding sites. CORG data are accessible from the ENSEMBL web site via a DAS service as well as a specially developed web service (http://corg.molgen.mpg.de) for query and interactive visualization of the conserved blocks and their annotation.
The gene regulatory apparatus that directs development is encoded in the DNA, in the form of organized arrays of transcription factor target sites. Genes are regulated by interactions with multiple transcription factors and the target sites for the transcription factors required for the control of each gene constitute its cis-regulatory system. These systems are remarkably complex. Their hardwired internal organization enables them to behave as genomic information processing systems. Developmental gene regulatory networks consist of the cis-regulatory systems of all the relevant genes and the regulatory linkages amongst them. Though there is yet little explicit information, some general properties of genomic regulatory networks have become apparent. The key to understanding how genomic regulatory networks are organized, and how they work, lies in experimental analysis of cis-regulatory systems at all levels of the regulatory network.
The draft genome of the primitive chordate, Ciona intestinalis, was published three years ago. Since then, significant progress has been made in utilizing Ciona's genomic and morphological simplicity to better understand conserved chordate developmental processes. Extensive annotation and sequencing of staged EST libraries make the Ciona genome one of the best annotated among those that are publicly available. The formation of the Ciona tadpole depends on simple, well-defined cellular lineages, and it is possible to trace the lineages of key chordate tissues such as the notochord and neural tube to the fertilized egg. Electroporation methods permit the targeted expression of regulatory genes and signaling molecules in defined cell lineages, as well as the rapid identification of regulatory DNAs underlying cell-specific gene expression. The recent sequencing of a second Ciona genome (C. savignyi) permits the use of simple alignment algorithms for the identification of conserved noncoding sequences, including microRNA genes and enhancers. Detailed expression profiles are now available for almost every gene that encodes a regulatory protein or cell-signaling molecule. The combination of gene-expression profiles, comparative genome analysis, and gene-disruption assays should permit the determination of high-resolution genomic regulatory networks underlying the specification of basic chordate tissues such as the heart, blood, notochord, and neural tube.
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A new method was developed for revealing of composite clusters of cis-elements in promoters of eukaryotic genes that are functionally related or coexpressed. A software system "ClusterScan" have been created that enables: (i) to train system on representative samples of promoters to reveal cis-elements that tend to cluster, (ii) to train system on a number of samples of functionally related promoters to identify functionally coupled transcription factors; (iii) to provide tools for searching of this clusters in genomic sequences to identify and functionally characterize regulatory regions in genome. A number of training samples of different functional and structural groups of promoters were analysed. Search for composite clusters in human chromosomes 21 and 22 reveals a number of interesting examples. Finally, a decision tree system was constructed to classify promoters of several functionally related gene groups. The decision tree system enables to identify new promoters and computationally predict their possible function.
Development of the body plan is controlled by large networks of regulatory genes. A gene regulatory network that controls the specification of endoderm and mesoderm in the sea urchin embryo is summarized here. The network was derived from large-scale perturbation analyses, in combination with computational methodologies, genomic data, cis-regulatory analysis, and molecular embryology. The network contains over 40 genes at present, and each node can be directly verified at the DNA sequence level by cis-regulatory analysis. Its architecture reveals specific and general aspects of development, such as how given cells generate their ordained fates in the embryo and why the process moves inexorably forward in developmental time.
We have developed an approach for the in situ detection of genomic elements that regulate transcription zin Drosophila melanogaster. The approach is analogous to a powerful method of bacterial genetics, the random generation of operon fusions, that enables the isolation and characterization of genes simply by knowing or postulating their pattern of expression; it is not necessary initially to screen for mutant phenotypes. To apply this approach to Drosophila, we have used the expression of the lacZ gene of Escherichia coli from the P-element promoter in germ-line transformant flies to screen for chromosomal elements that can act at a distance to stimulate expression from this apparently weak promoter. Of 49 transformed fly lines obtained, approximately 70% show some type of spatially regulated expression of the lacZ gene in embryos; many of these express lacZ specifically in the nervous system. The P-lacZ fusion gene is, therefore, an efficient tool for the recovery of elements that may regulate gene expression in Drosophila and for the generation of a wide variety of cell-type-specific markers.
Calculations of DNA angular parameters in 50 eukaryotic sequences reveal regions of large conformational deviations from ideal DNA around regulatory sites. Frequently, discrete peaks of structural variation are present upstream of genes. Known regulatory regions often include variants of consensus sequences. Thus, imprecise sequences and structures are recognized within large genomic stretches. The existence of structurally "wrinkled" regions in the vicinity of regulatory sequences is likely to facilitate greatly their recognition by proteins and enzymes.
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Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a debilitating, multifactorial disorder characterised by profound fatigue, post-exertional malaise, cognitive impairments, and autonomic dysfunction. Despite its significant impact on quality of life, ME/CFS lacks definitive diagnostic biomarkers, complicating diagnosis and management. Recent evidence highlights potential blood tests for ME/CFS biomarkers in immunological, genetic, metabolic, and bioenergetic domains. Chromosome conformations (CCs) are potent epigenetic regulators of gene expression and cross-tissue exosome signalling. We have previously developed an epigenetic assay, EpiSwitch®, that employs an algorithm-based CCs analysis. Using EpiSwitch® technology, we have shown the presence of disease-specific CCs in peripheral blood mononuclear cells (PBMCs) of patients with amyotrophic lateral sclerosis (ALS), rheumatoid arthritis (RA), prostate and colorectal cancers, diffuse Large B-cell lymphoma and severe COVID-19. In a recent paper, we have identified a profile of systemic chromosome conformations in cancer patients reflective of the predisposition to respond to immune checkpoint inhibitors, PD-1/PD-L1 antagonists, with 85% accuracy. In this Retrospective case/control study (EPI-ME, Epigenetic Profiling Investigation in Myalgic Encephalomyelitis), we used whole blood samples retrospectively collected from n = 47 patients with severe ME/CFS and n = 61 age-matched healthy control patients to perform whole-genome 3D DNA screening for CCs correlating to ME/CFS diagnosis. We identified a 200-marker model for ME/CFS diagnosis (Episwitch®CFS test). First testing on the retrospective independent validation cohort demonstrated a strong systemic ME/CFS signal with a sensitivity of 92% and a specificity of 98%.Pathways analysis revealed several likely contributors to the pathology of ME/CFS, including interleukins, TNFα, neuroinflammatory pathways, toll-like receptor signalling and JAK/STAT. Comparison with pathways involved in the action of Rituximab and glatiramer acetate (Copaxone) (therapies with potential in ME/CFS treatment) identified IL2 as a shared pathway with clear patient clustering, indicating a possibility of a potential responder group for targeted treatment.
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