The convergence of haemodynamics,genomics, and endothelial structure in studies of the focal origin of atherosclerosis

The completion of the Human Genome Project and ongoing sequencing of mouse, rat and other genomes has led to an explosion of genetics-related technologies that are finding their way into all areas of biological research; the field of biorheology is no exception. Here we outline how two disparate modern molecular techniques, microarray analyses of gene expression and real-time spatial imaging of living cell structures, are being utilized in studies of endothelial mechanotransduction associated with controlled shear stress in vitro and haemodynamics in vivo. We emphasize the value of such techniques as components of an integrated understanding of vascular rheology. In mechanotransduction, a systems approach is recommended that encompasses fluid dynamics, cell biomechanics, live cell imaging, and the biochemical, cell biology and molecular biology methods that now encompass genomics. Microarrays are a useful and powerful tool for such integration by identifying simultaneous changes in the expression of many genes associated with interconnecting mechanoresponsive cellular pathways.     

CRISPR/Cas9基因编辑在三维基因组研究中的应用

CRISPR/Cas9系统在基因编辑方面具有巨大优势,能够低成本、可编程、方便快捷地用于动物、植物以及微生物的基因组靶向编辑和功能改造。三维基因组学是近年来兴起的一门研究染色质高级结构动态调控及基因组生物学功能的交叉学科。在三维基因组研究中,通常采用对DNA片段进行基因编辑以模拟基因组结构性变异,标记特定DNA片段,进而研究调控元件对于基因调控、细胞分化、组织发生、器官形成、个体发育的影响,最终阐明三维基因组的组装调控机制和生物学功能。因此,CRISPR及其衍生技术为研究三维基因组提供了极好的遗传学工具。本文主要综述了CRISPR片段编辑及其衍生技术在三维基因组调控与功能研究中的应用,以期为后续研究工作提供理论参考以及新的研究思路。     

空间转录组技术研究进展

空间转录组技术旨在对细胞的基因表达进行定量测量,同时提供细胞在组织空间的具体位置信息.与传统的转录组技术相比,空间转录组技术能获得细胞在组织生理环境下真实的基因表达特征,以及与微环境的关系,进一步推进对正常和病理状态下细胞特性的理解.近年来,空间转录组技术的发展取得了重要的进展,检测的细胞通量、转录本数量和质量不断提高...     

Chromosome positioning in the interphase nucleus

Chromosomes occupy distinct territories in the interphase cell nucleus. These chromosome territories are non-randomly arranged within the nuclear space. We are only just uncovering how chromosome territories are organized, what determines their position and how their spatial organization affects the expression of genes and genomes. Here, we discuss emerging models of non-random nuclear chromosome organization and consider the functional implications of chromosome positioning for gene expression and genome stability.     

利用环形染色体构象捕获技术对Bci11b基因座位在细胞核内空间组织的研究

环形染色体构象捕获（4c）技术实现了在全基因组范围内捕获与4c靶位点发生相互作用的基因座位,因而通过4C相关技术可以进一步研究靶基因座位在细胞核内的空间组织形式。该文以ABclllb基因座位作为4C分析的靶位点,通过优化4C分析的反向巢式PCR扩增条件,实现4C分析PCR的高效扩增：并通过有限克隆筛选与普通测序分析相结合的方法,在全基因组范围内捕获到一些与BcHlb基因座位发生潜在相互作用的基因座位。这些基因座位与靶位点间的相互作用既有发生在相同染色体内的,也有发生在不同染色体之间的。这些基因座位间的相互作用表明了Bclllb基因座位在细胞核内复杂的空间组织形式。     

Laminar and Dorsoventral Molecular Organization of the Medial Entorhinal Cortex Revealed by Large-scale Anatomical Analysis of Gene Expression

Neural circuits in the medial entorhinal cortex (MEC) encode an animal’s position and orientation in space. Within the MEC spatial representations, including grid and directional firing fields, have a laminar and dorsoventral organization that corresponds to a similar topography of neuronal connectivity and cellular properties. Yet, in part due to the challenges of integrating anatomical data at the resolution of cortical layers and borders, we know little about the molecular components underlying this organization. To address this we develop a new computational pipeline for high-throughput analysis and comparison of in situ hybridization (ISH) images at laminar resolution. We apply this pipeline to ISH data for over 16,000 genes in the Allen Brain Atlas and validate our analysis with RNA sequencing of MEC tissue from adult mice. We find that differential gene expression delineates the borders of the MEC with neighboring brain structures and reveals its laminar and dorsoventral organization. We propose a new molecular basis for distinguishing the deep layers of the MEC and show that their similarity to corresponding layers of neocortex is greater than that of superficial layers. Our analysis identifies ion channel-, cell adhesion- and synapse-related genes as candidates for functional differentiation of MEC layers and for encoding of spatial information at different scales along the dorsoventral axis of the MEC. We also reveal laminar organization of genes related to disease pathology and suggest that a high metabolic demand predisposes layer II to neurodegenerative pathology. In principle, our computational pipeline can be applied to high-throughput analysis of many forms of neuroanatomical data. Our results support the hypothesis that differences in gene expression contribute to functional specialization of superficial layers of the MEC and dorsoventral organization of the scale of spatial representations.     

Epigenomic profiling of cancer cells

DNA methylation, post-translational modifications of histones and high order organization of chromatin in cell nuclei are the components of the epigenome. Epigenetic regulation of gene expression is specific for each cell type, within different tissues, according to stages of development and (in the adult organism) of differentiation. Almost invariably, this regulation is altered in disease states, including cancer. The complete understanding of the identity of the epigenome of cancer has been so far hampered, due to the technical limitations and costs of the genome-wide analyses required. The recent development of next generation sequencing (NGS) technologies, however, holds the promise of fast, reliable and cost-effective analyses. Here we review the main approaches employed thus far to identify altered epigenetic patterns in cancer cells, and analyse how they are predicted to evolve in the scenario of the ultra high-throughput (UHT) screenings.     

Sequencing our way towards understanding global eukaryotic biodiversity

Microscopic eukaryotes are abundant, diverse and fill critical ecological roles across every ecosystem on Earth, yet there is a well-recognized gap in understanding of their global biodiversity. Fundamental advances in DNA sequencing and bioinformatics now allow accurate en masse biodiversity assessments of microscopic eukaryotes from environmental samples. Despite a promising outlook, the field of eukaryotic marker gene surveys faces significant challenges: how to generate data that are most useful to the community, especially in the face of evolving sequencing technologies and bioinformatics pipelines, and how to incorporate an expanding number of target genes.     

Spatial genome organization

The linear sequence of genomes exists within the three-dimensional space of the cell nucleus. The spatial arrangement of genes and chromosomes within the interphase nucleus is nonrandom and gives rise to specific patterns. While recent work has begun to describe some of the positioning patterns of chromosomes and gene loci, the structural constraints that are responsible for nonrandom positioning and the relevance of spatial genome organization for genome expression are unclear. Here we discuss potential functional consequences of spatial genome organization and we speculate on the possible molecular mechanisms of how genomes are organized within the space of the mammalian cell nucleus.     

三维基因组学研究进展

三维基因组学是一门研究基因组三维空间结构与功能的新兴学科,主要研究基因组序列在细胞核内的三维空间构象,及其对DNA复制、DNA重组、基因表达调控等生物过程的生物学效应。自染色质构象捕获技术 (3C)出现后,三维基因组学相关研究领域飞速发展。借助于3C及其衍生技术、Hi-C和ChIA-PET等技术,科学家能对各类物种的三维基因组进行更为深入的研究,从而揭示微生物、植物和动物基因组的空间构象、染色质的相互作用模式、转录调控以及不同生物学性状的形成机制;挖掘与生命活动和疾病相关的关键基因和信号通路;推动农业科学、生命科学和医学等领域的快速发展。文中就三维基因组学研究进展作一综述,主要阐述三维基因组学的概念和研究技术的发展及其在农业科学、生命科学和医学等领域的应用,尤其是肿瘤领域所取得的阶段性研究成果。     

Genome-wide tracing to decipher nuclear organization

Nuclear organization impacts gene expression activity and cell phenotype. Our current understanding is mainly derived from ensemble-level sequencing studies that reflect the 3D genome structure of millions of cells. These approaches have provided invaluable details on the 3D organizations of the genome and their relation to other nuclear landmarks. However, they mostly lack the ability to provide multimodal information simultaneously at the single-cell level. In recent years, cutting-edge imaging technologies have risen to the challenge of simultaneously describing multiple components of the nuclear space at the single-cell level, paving the way for a deeper understanding of the genome structure–function relationship. This review will focus on the development and utilization of such technologies to gain a multi-component view of the nucleus at single-cell resolution, dissecting the complexity and heterogeneity of nuclear organization.