Genome-wide identification of transcriptional enhancers during human placental development and association with function, differentiation, and disease†.

The placenta is a dynamic organ that must perform a remarkable variety of functions during its relatively short existence in order to support a developing fetus. These functions include nutrient delivery, gas exchange, waste removal, hormone production, and immune barrier protection. Proper placenta development and function are critical for healthy pregnancy outcomes, but the underlying genomic regulatory events that control this process remain largely unknown. We hypothesized that mapping sites of transcriptional enhancer activity and associated changes in gene expression across gestation in human placenta tissue would identify genomic loci and predicted transcription factor activity related to critical placenta functions. We used a suite of genomic assays [i.e., RNA-sequencing (RNA-seq), Precision run-on-sequencing (PRO-seq), and Chromatin immunoprecipitation-sequencing (ChIP-seq)] and computational pipelines to identify a set of >20 000 enhancers that are active at various time points in gestation. Changes in the activity of these enhancers correlate with changes in gene expression. In addition, some of these enhancers encode risk for adverse pregnancy outcomes. We further show that integrating enhancer activity, transcription factor motif analysis, and transcription factor expression can identify distinct sets of transcription factors predicted to be more active either in early pregnancy or at term. Knockdown of selected identified transcription factors in a trophoblast stem cell culture model altered the expression of key placental marker genes. These observations provide a framework for future mechanistic studies of individual enhancer-transcription factor-target gene interactions and have the potential to inform genetic risk prediction for adverse pregnancy outcomes.

Global analysis of H3K4me3/H3K27me3 in Brachypodium distachyon reveals VRN3 as critical epigenetic regulation point in vernalization and provides insights into epigenetic memory.

Vernalization, the requirement of plants for long-term exposure to low environmental temperature for flowering, is an epigenetic phenomenon. Histone modification regulation has been revealed in vernalization, but is limited to key genes. Now, we know that VRN1 is epigenetically critical for monocots. Genome-wide analysis is still unavailable, however. We performed chromatin immunoprecipitation-sequencing for H3K4me3/H3K27me3 in Brachypodium distachyon to obtain a global view of histone modifications in vernalization on a genome-wide scale and for different pathways/genes. Our data showed that H3K4me3 and H3K27me3 play distinct roles in vernalization. Unlike H3K4me3, H3K27me3 exhibited regional regulation, showed main regulation targets in vernalization and contributed to epigenetic memory. For genes in four flowering regulation pathways, only FT2 (functional ortholog of VRN3 in B. distachyon) and VRN1 showed coordinated changes in H3K4me3/H3K27me3. The epigenetic response at VRN3 was weaker under short-day than under long-day conditions. VRN3 was revealed as an epigenetic regulation point integrating vernalization and day length signals. We globally identified genes maintaining vernalization-induced epigenetic changes. Most of these genes showed dose-dependent vernalization responses, revealing a quantitative 'recording system' for vernalization. Our studies shed light on the epigenetic role of VRN3 and H3K4me3/H3K27me3 in vernalization and reveal genes underlying epigenetic memory, laying the foundation for further study.

The Populus ARBORKNOX1 homeodomain transcription factor regulates woody growth through binding to evolutionarily conserved target genes of diverse function.

The class I KNOX homeodomain transcription factor ARBORKNOX1 (ARK1) is a key regulator of vascular cambium maintenance and cell differentiation in Populus. Currently, basic information is lacking concerning the distribution, functional characteristics, and evolution of ARK1 binding in the Populus genome. Here, we used chromatin immunoprecipitation sequencing (ChIP-seq) technology to identify ARK1 binding loci genome-wide in Populus. Computational analyses evaluated the distribution of ARK1 binding loci, the function of genes associated with bound loci, the effect of ARK1 binding on transcript levels, and evolutionary conservation of ARK1 binding loci. ARK1 binds to thousands of loci which are highly enriched proximal to the transcriptional start sites of genes of diverse functions. ARK1 target genes are significantly enriched in paralogs derived from the whole-genome salicoid duplication event. Both ARK1 and a maize (Zea mays) homolog, KNOTTED1, preferentially target evolutionarily conserved genes. However, only a small portion of ARK1 target genes are significantly differentially expressed in an ARK1 over-expression mutant. This study describes the functional characteristics and evolution of DNA binding by a transcription factor in an undomesticated tree, revealing complexities similar to those shown for transcription factors in model animal species.

Human cytomegalovirus infection coopts chromatin organization to diminish TEAD1 transcription factor activity.

Human cytomegalovirus (HCMV) infects up to 80% of the world's population. Here, we show that HCMV infection leads to widespread changes in human chromatin accessibility and chromatin looping, with hundreds of thousands of genomic regions affected 48 hours after infection. Integrative analyses reveal HCMV-induced perturbation of Hippo signaling through drastic reduction of TEAD1 transcription factor activity. We confirm extensive concordant loss of TEAD1 binding, active H3K27ac histone marks, and chromatin looping interactions upon infection. Our data position TEAD1 at the top of a hierarchy involving multiple altered important developmental pathways. HCMV infection reduces TEAD1 activity through four distinct mechanisms: closing of TEAD1-bound chromatin, reduction of YAP1 and phosphorylated YAP1 levels, reduction of TEAD1 transcript and protein levels, and alteration of TEAD1 exon-6 usage. Altered TEAD1-based mechanisms are highly enriched at genetic risk loci associated with eye and ear development, providing mechanistic insight into HCMV's established roles in these processes.

Integrative Analysis of CUT&Tag and RNA-Seq Data Through Bioinformatics: A Unified Workflow for Enhanced Insights.

Cleavage Under Targets and Tagmentation (CUT&Tag) is a recent methodology used for robust epigenomic profiling that, unlike conventional chromatin immunoprecipitation (ChIP-Seq), requires only a limited amount of cells as starting material. RNA sequencing (RNA-Seq) reveals the presence and quantity of RNA in a biological sample, describing the continuously changing cellular transcriptome. The integrated analysis of transcriptional activity, histone modifications, and chromatin accessibility via CUT&Tag is still in its infancy compared to the well-established ChIP-Seq. This chapter describes a robust bioinformatics methodology and workflow to perform an integrative CUT&Tag/RNA-Seq analysis.

ChIP-Seq Protocol for In Vitro Cell Differentiation Systems.

In vitro differentiation systems provide a flexible platform for understanding complex developmental processes. Here, we provide a comprehensive protocol for the preparation and analysis of ChIP-seq libraries for human-induced neural crest cells (hiNCCs) from human embryonic stem cells (hESCs). This workflow is aimed at identifying interactions between transcription factors and cis regulatory elements, which serve as useful assays in uncovering gene regulatory principles during development.

Genome-wide survey identifies TNNI2 as a target of KLF7 that inhibits chicken adipogenesis via downregulating FABP4.

Krüppel-like factor 7 (KLF7) negatively regulates adipocyte differentiation; however, the mechanism underlying its activity in mammals and birds remains poorly understood. To identify genome-wide KLF7-binding motifs in preadipocytes, we conducted a chromatin immunoprecipitation-sequencing analysis of immortalized chicken preadipocytes (ICP2), which revealed 11,063 specific binding sites. Intergenic binding site analysis showed that KLF7 regulates several novel factors whose functions in chicken and mammal adipogenesis are underexplored. We identified a novel regulator, troponin I2 (TNNI2), which is positively regulated by KLF7. TNNI2 is downregulated during preadipocyte differentiation and acts as an adipogenic repressor at least in part by repressing FABP4 promoter activity. In conclusion, we demonstrated that KLF7 functions through cis-regulation of TNNI2, which inhibits adipogenesis. Our findings not only provide the first genome-wide picture of KLF7 associations in preadipocytes but also identify a novel function of TNNI2.

Profiling the Epigenetic Landscape of the Spermatogonial Stem Cell: Part 2-Computational Analysis of Epigenomics Data.

The final data-generation step of genome-wide profiling of any epigenetic parameter typically involves DNA deep sequencing which yields large datasets that must then be computationally analyzed both individually and collectively to comprehensively describe the epigenetic programming that dictates cell fate and function. Here, we describe computational pipelines for analysis of bulk mepigenomic profiling data, including whole-genome bisulfite sequencing (WGBS) to detect DNA methylation patterns, chromatin immunoprecipitation-sequencing (ChIP-seq) to detect genomic patterns of either specific histone modifications or bound transcription factors, the assay for transposase-accessible chromatin-sequencing (ATAC-seq) to detect genomic patterns of chromatin accessibility, and high-throughput chromosome conformation capture-sequencing (Hi-C-seq) to detect 3-dimensional interactions among distant genomic regions. In addition, we describe Chromatin State Discovery and Characterization (ChromHMM) methodology to integrate data from these individual analyses, plus that from RNA-seq analysis of gene expression, to obtain the most comprehensive overall assessment of epigenetic programming associated with gene expression.

Profiling the Epigenetic Landscape of the Spermatogonial Stem Cell-Part 1: Epigenomics Assays.

Epigenomics encompasses analyses of a variety of different epigenetic parameters which, collectively, make up the epigenetic programming that dictates cell fate and function. Here, protocols are provided for four different epigenomic methods including whole-genome bisulfite sequencing (WGBS) to assess DNA methylation patterns, chromatin immunoprecipitation-sequencing (ChIP-seq) to assess genomic patterns of either specific histone modifications or bound transcription factors, the assay for transposase-accessible chromatin-sequencing (ATAC-seq) to assess genomic patterns of chromatin accessibility, and high-throughput chromosome conformation capture-sequencing (Hi-C-seq) to assess three-dimensional interactions among distant genomic regions, plus computational methodology to integrate data from those four methodologies using Chromatin State Discovery and Characterization (ChromHMM) to obtain the most comprehensive overall assessment of epigenetic programming.

Methods to Detect NF-κB Activity in Tumor-Associated Macrophage (TAM) Populations.

Macrophages are an abundant population in the tumor-infiltrating immune cells. The transcription factor NF-κB plays an important role in the response of tumor-associated macrophages (TAMs) to the tumor environmental cues. Detecting NF-κB activity in TAMs will help define the functional status of the TAMs. In this article, we describe several methods to detect NF-κB activity in TAM populations.