Integrative approaches in genome structure analysis

New technological advances in integrated imaging, sequencing-based assays, and computational analysis have revolutionized our view of genomes in terms of their structure and dynamics in space and time. These advances promise a deeper understanding of genome functions and mechanistic insights into how the nucleus is spatially organized and functions. These wide arrays of complementary data provide an opportunity to produce quantitative integrative models of nuclear organization. In this article, we highlight recent key developments and discuss the outlook for these fields.

Functional genetics for studying the human immune system

Although small numbers of immune-mediated diseases are inherited due to rare genetic mutations, most are multifactorial diseases caused by multiple elements including genetic and environmental factors. In the case of autoimmune diseases, many disease-susceptibility genes, including several in the major histocompatibility gene complex, have been reported, and over the past 10 years, genome-wide association studies (GWAS) have been used to analyze disease-susceptibility loci in representative diseases. Furthermore, many disease susceptibility variants have been found to be related to gene expression levels. The expression of genes involved in disease pathogenesis is often cell type-specific, and this is closely related to epigenome alterations. Genomic information is present even before the onset of a disease and has a clear causal relationship to the disease (i.e., the outcome). Therefore, it is important to establish functional genetics in human immunology to understand the pathogenesis of diseases using these pieces of information. We can then apply these results to drug discovery. Here, we will review these issues, especially focusing on autoimmune diseases, and discuss current and future directions of human immune system research.

Conflicts of CpG density and DNA methylation are proximally and distally involved in gene regulation in human and mouse tissues

The relationship between CpG content and DNA methylation has attracted considerable interest in recent years. Direct or indirect methods have been developed to investigate their regulatory functions based on various hypotheses, large cohort studies, and meta-analyses. However, all of these analyses were performed at units of CpG blocks and, thus, the influence of finer genome structure has been neglected. Herein, we present a novel algorithm of base-pair resolution to systematically investigate the relationship between CpG contents and DNA methylation. By introducing the concept of 'complementary index' we examined the methylomes of 34 adult and 7 embryonic tissues and successfully fitted the relationship of DNA methylation and CpG density into a nonlinear mathematical model. A further algorithm was developed to locate the regions where CpG density does not match expectations from the model, termed 'conflict of gap' (COG) regions. Interestingly, COGs are highly concordant in human and mouse and their distributions display a tissue-specific pattern. Based on COG methylation patterns we correctly classified tissues according to their function or origin. We demonstrate that COGs based on our method can reveal more and deeper information than traditional differential methylation region (DMR) approaches. We also found that when COGs are located near to transcription start site (TSS), these regions can determine which promoters will be utilized for initiating gene transcription. Furthermore, COGs located far from the TSS perform as enhancers in terms of histone modification, sequence conservation, transcription factor binding, and DNase I-hypersensitivity.

Potentials of single-cell biology in identification and validation of disease biomarkers

Single-cell biology is considered a new approach to identify and validate disease-specific biomarkers. However, the concern raised by clinicians is how to apply single-cell measurements for clinical practice, translate the message of single-cell systems biology into clinical phenotype or explain alterations of single-cell gene sequencing and function in patient response to therapies. This study is to address the importance and necessity of single-cell gene sequencing in the identification and development of disease-specific biomarkers, the definition and significance of single-cell biology and single-cell systems biology in the understanding of single-cell full picture, the development and establishment of whole-cell models in the validation of targeted biological function and the figure and meaning of single-molecule imaging in single cell to trace intra-single-cell molecule expression, signal, interaction and location. We headline the important role of single-cell biology in the discovery and development of disease-specific biomarkers with a special emphasis on understanding single-cell biological functions, e.g. mechanical phenotypes, single-cell biology, heterogeneity and organization of genome function. We have reason to believe that such multi-dimensional, multi-layer, multi-crossing and stereoscopic single-cell biology definitely benefits the discovery and development of disease-specific biomarkers.

Isolation of Specific Genomic Regions and Identification of Their Associated Molecules by Engineered DNA-Binding Molecule-Mediated Chromatin Immunoprecipitation (enChIP) Using the CRISPR System and TAL Proteins

Comprehensive understanding of genome functions requires identification of molecules (proteins, RNAs, genomic regions, etc.) bound to specific genomic regions of interest in vivo. To perform biochemical and molecular biological analysis of specific genomic regions, we developed engineered DNA-binding molecule-mediated chromatin immunoprecipitation (enChIP) to purify genomic regions of interest. In enChIP, specific genomic regions are tagged for biochemical purification using engineered DNA-binding molecules, such as transcription activator-like (TAL) proteins and a catalytically inactive form of the clustered regularly interspaced short palindromic repeats (CRISPR) system. enChIP is a comprehensive approach that emphasizes non-biased search using next-generation sequencing (NGS), microarrays, mass spectrometry (MS), and other methods. Moreover, this approach is not restricted to cultured cell lines and can be easily extended to organisms. In this review, we discuss applications of enChIP to elucidating the molecular mechanisms underlying genome functions.

Inside a plant nucleus: discovering the proteins

Nuclear proteins are a vital component of eukaryotic cell nuclei and have a profound effect on the way in which genetic information is stored, expressed, replicated, repaired, and transmitted to daughter cells and progeny. Because of the plethora of functions, nuclear proteins represent the most abundant components of cell nuclei in all eukaryotes. However, while the plant genome is well understood at the DNA level, information on plant nuclear proteins remains scarce, perhaps with the exception of histones and a few other proteins. This lack of knowledge hampers efforts to understand how the plant genome is organized in the nucleus and how it functions. This review focuses on the current state of the art of the analysis of the plant nuclear proteome. Previous proteome studies have generally been designed to search for proteins involved in plant response to various forms of stress or to identify rather a modest number of proteins. Thus, there is a need for more comprehensive and systematic studies of proteins in the nuclei obtained at individual phases of the cell cycle, or isolated from various tissue types and stages of cell and tissue differentiation. All this in combination with protein structure, predicted function, and physical localization in 3D nuclear space could provide much needed progress in our understanding of the plant nuclear proteome and its role in plant genome organization and function.

Nuclear function of Alus

Alus are transposable elements belonging to the short interspersed element family. They occupy over 10% of human genome and have been spreading through genomes over the past 65 million years. In the past, they were considered junk DNA with little function that took up genome volumes. Today, Alus and other transposable elements emerge to be key players in cellular function, including genomic activities, gene expression regulations, and evolution. Here we summarize the current understanding of Alu function in genome and gene expression regulation in human cell nuclei.