Transcriptomics: unravelling the biology of transcription factors and chromatin remodelers during development and differentiation

Genome maintenance in the context of 4D chromatin condensation

The eukaryotic genome is packaged in the three-dimensional nuclear space by forming loops, domains, and compartments in a hierarchical manner. However, when duplicated genomes prepare for segregation, mitotic cells eliminate topologically associating domains and abandon the compartmentalized structure. Alongside chromatin architecture reorganization during the transition from interphase to mitosis, cells halt most DNA-templated processes such as transcription and repair. The intrinsically condensed chromatin serves as a sophisticated signaling module subjected to selective relaxation for programmed genomic activities. To understand the elaborate genome-epigenome interplay during cell cycle progression, the steady three-dimensional genome requires a time scale to form a dynamic four-dimensional and a more comprehensive portrait. In this review, we will dissect the functions of critical chromatin architectural components in constructing and maintaining an orderly packaged chromatin environment. We will also highlight the importance of the spatially and temporally conscious orchestration of chromatin remodeling to ensure high-fidelity genetic transmission.

Exploiting the Epigenome to Control Cancer-Promoting Gene-Expression Programs

The epigenome is a key determinant of transcriptional output. Perturbations within the epigenome are thought to be a key feature of many, perhaps all cancers, and it is now clear that epigenetic changes are instrumental in cancer development. The inherent reversibility of these changes makes them attractive targets for therapeutic manipulation, and a number of small molecules targeting chromatin-based mechanisms are currently in clinical trials. In this perspective we discuss how understanding the cancer epigenome is providing insights into disease pathogenesis and informing drug development. We also highlight additional opportunities to further unlock the therapeutic potential within the cancer epigenome.

Epigenetics and miRNA during bacteria-induced host immune responses

Various cellular processes including the pathogen-specific immune responses, host-pathogen interactions and the related evasion mechanisms rely on the ability of the immune cells to be reprogrammed accurately and in many cases instantaneously. In this context, the exact functions of epigenetic and miRNA-mediated regulation of genes, coupled with recent advent in techniques that aid such studies, make it an attractive field for research. Here, we review examples that involve the epigenetic and miRNA control of the host immune system during infection with bacteria. Interestingly, many pathogens utilize the epigenetic and miRNA machinery to modify and evade the host immune responses. Thus, we believe that global epigenetic and miRNA mapping of such host-pathogen interactions would provide key insights into their cellular functions and help to identify various determinants for therapeutic value.

The transcription factor Atonal homolog 8 regulates Gata4 and Friend of Gata-2 during vertebrate development

GATA and Friend of GATA (FOG) form a transcriptional complex that plays a key role in cardiovascular development in both fish and mammals. In the present study we demonstrate that the basic helix-loop-helix transcription factor Atonal homolog 8 (Atoh8) is required for development of the heart in fish but not in mice. Genetic studies reveal that Atoh8 interacts specifically with Gata4 and Fog1 during development of the heart and swim bladder in the fish. Biochemical studies reveal that ATOH8, GATA4, and FOG2 associate in a single complex in vitro. In contrast to fish, ATOH8-deficient mice exhibit normal cardiac development and loss of ATOH8 does not alter cardiac development in Gata4(+/-) mice. This species difference in the role of ATOH8 is explained in part by LacZ and GFP reporter alleles that reveal restriction of Atoh8 expression to atrial but not ventricular myocardium in the mouse. Our findings identify ATOH8 as a novel regulator of GATA-FOG function that is required for cardiac development in the fish but not the mouse. Whether ATOH8 modulates GATA-FOG function at other sites or in more subtle ways in mammals is not yet known.

Chromatin-associated proteins HP1 and Mod(mdg4) modify Y-linked regulatory variation in the drosophila testis

Chromatin remodeling is crucial for gene regulation. Remodeling is often mediated through chemical modifications of the DNA template, DNA-associated proteins, and RNA-mediated processes. Y-linked regulatory variation (YRV) refers to the quantitative effects that polymorphic tracts of Y-linked chromatin exert on gene expression of X-linked and autosomal genes. Here we show that naturally occurring polymorphisms in the Drosophila melanogaster Y chromosome contribute disproportionally to gene expression variation in the testis. The variation is dependent on wild-type expression levels of mod(mdg4) as well as Su(var)205; the latter gene codes for heterochromatin protein 1 (HP1) in Drosophila. Testis-specific YRV is abolished in genotypes with heterozygous loss-of-function mutations for mod(mdg4) and Su(var)205 but not in similar experiments with JIL-1. Furthermore, the Y chromosome differentially regulates several ubiquitously expressed genes. The results highlight the requirement for wild-type dosage of Su(var)205 and mod(mdg4) in enabling naturally occurring Y-linked regulatory variation in the testis. The phenotypes that emerge in the context of wild-type levels of the HP1 and Mod(mdg4) proteins might be part of an adaptive response to the environment.

An Integrated Statistical Approach to Compare Transcriptomics Data Across Experiments: A Case Study on the Identification of Candidate Target Genes of the Transcription Factor PPARα

An effective strategy to elucidate the signal transduction cascades activated by a transcription factor is to compare the transcriptional profiles of wild type and transcription factor knockout models. Many statistical tests have been proposed for analyzing gene expression data, but most tests are based on pair-wise comparisons. Since the analysis of microarrays involves the testing of multiple hypotheses within one study, it is generally accepted that one should control for false positives by the false discovery rate (FDR). However, it has been reported that this may be an inappropriate metric for comparing data across different experiments. Here we propose an approach that addresses the above mentioned problem by the simultaneous testing and integration of the three hypotheses (contrasts) using the cell means ANOVA model. These three contrasts test for the effect of a treatment in wild type, gene knockout, and globally over all experimental groups. We illustrate our approach on microarray experiments that focused on the identification of candidate target genes and biological processes governed by the fatty acid sensing transcription factor PPARα in liver. Compared to the often applied FDR based across experiment comparison, our approach identified a conservative but less noisy set of candidate genes with same sensitivity and specificity. However, our method had the advantage of properly adjusting for multiple testing while integrating data from two experiments, and was driven by biological inference. Taken together, in this study we present a simple, yet efficient strategy to compare differential expression of genes across experiments while controlling for multiple hypothesis testing.

Proteomics and pluripotency

The fields of mass spectrometry (MS) and stem cell biology have expanded greatly in the past twenty years. Taken alone, these fields occupy entirely different branches of science; however, the points where they overlap provide valuable insight, both in the biological and technical arenas. From a biological perspective, MS-based proteomics offers the capacity to follow post-transcriptional regulation and signaling that are (1) fundamental to pluripotency and differentiation, (2) largely beyond the reach of genomic technologies, and (3) otherwise difficult or impossible to examine on a large scale. At the same time, addressing questions fundamental to stem cell biology has compelled proteomic researchers to pursue more sensitive and creative ways to probe the proteome, both in a targeted and high-throughput manner. Here, we highlight experiments that straddle proteomics and stem cell biology, with an emphasis on studies that apply mass spectrometry to dissect pluripotency and differentiation.

Epigenetic reprogramming of host genes in viral and microbial pathogenesis

One of the key questions in the study of mammalian gene regulation is how epigenetic methylation patterns on histones and DNA are initiated and established. These stable, heritable, covalent modifications are largely associated with the repression or silencing of gene transcription, and when deregulated can be involved in the development of human diseases such as cancer. This article reviews examples of viruses and bacteria known or thought to induce epigenetic changes in host cells, and how this might contribute to disease. The heritable nature of these processes in gene regulation suggests that they could play important roles in chronic diseases associated with microbial persistence; they might also explain so-called ‘hit-and-run’ phenomena in infectious disease pathogenesis.

A simple method for gene expression and chromatin profiling of individual cell types within a tissue

Understanding the production and function of specialized cells during development requires the isolation of individual cell types for analysis, but this is currently a major technical challenge. Here we describe a method for cell type-specific RNA and chromatin profiling that circumvents many of the limitations of current methods for cell isolation. We used in vivo biotin labeling of a nuclear envelope protein in individual cell types followed by affinity isolation of labeled nuclei to measure gene expression and chromatin features of the hair and non-hair cell types of the Arabidopsis root epidermis. We identified hundreds of genes that are preferentially expressed in each cell type and show that genes with the largest expression differences between hair and non-hair cells also show differences between cell types in the trimethylation of histone H3 at lysines 4 and 27. This method should be applicable to any organism that is amenable to transformation.