Dosage compensation and nuclear organization: cluster to control chromosome-wide gene expression

Similarity-guided graph contrastive learning for lncRNA-disease association prediction

The increasing research evidence indicates that long non-coding RNAs (lncRNAs) play important roles in regulating biological processes and are closely associated with many human diseases. Computational methods have emerged as indispensable tools for identifying associations between long non-coding RNA (lncRNA) and diseases, primarily due to the time-consuming and costly nature of traditional biological experiments. Given the scarcity of verified lncRNA-disease associations, the intensifying focus on deep learning is playing a crucial role in refining the accuracy of predictive models. Moreover, the contrastive learning method exhibits a clear advantage in situations where data is scarce or annotation costs are high. In this paper, we leverage the advantages of graph neural networks and contrastive learning to innovatively propose a similarity-guided graph contrastive learning (SGGCL) model for predicting lncRNA-disease associations. In the SGGCL model, we employ a novel similarity-guided graph data augmentation method to generate high-quality positive and negative sample pairs, addressing the scarcity of verified data. Additionally, we utilize the RWR algorithm and a graph convolutional neural network for contrastive learning, facilitating the capture of global topology and high-level node embeddings. The experimental results on several datasets demonstrate the superior predictive performance and scalability of our method in lncRNA-disease association prediction compared to state-of-the-art methods.

Immediate Dosage Compensation Is Triggered by the Deletion of Y-Linked Genes in Silene latifolia

The loss of functional genes from non-recombining sex-specific chromosomes [1, 2], such as the Y chromosomes in mammals [3] or W chromosomes in birds [4], should result in an imbalance of gene products for sex-linked genes [5]. Different chromosome-wide systems that rebalance gene expression are known to operate in organisms with relatively old sex chromosomes [6]; e.g., Drosophila overexpress X-linked genes in males [7], while mammals shut down one of the X chromosomes in females [8]. It is not known how long it takes for a chromosome-wide dosage compensation system to evolve. To shed light on the early evolution of dosage compensation, we constructed a high-density Y-deletion map and used deletion mutants to manipulate gene dose and analyze gene expression in white campion (Silene latifolia), which evolved dioecy and sex chromosomes only 11 million years ago [9]. We demonstrate that immediate dosage compensation can be triggered by deletions in a large portion of the p arm of the Y chromosome. Our results indicate that dosage compensation in S. latifolia does not have to evolve gene by gene because a system to upregulate gene expression is already operating on part of the X chromosome, which likely represents an intermediate step in the evolution of a chromosome-wide dosage compensation system in this species.

Modeling three-dimensional genomic organization in evolution and pathogenesis

The regulation of gene expression is mediated via the complex three-dimensional (3D) conformation of the genetic material and its interactions with various intracellular factors. Various experimental and computational approaches have been developed in recent years for understating the relation between the 3D conformation of the genome and the phenotypes of cells in normal condition and diseases. In this review, we will discuss novel approaches for analyzing and modeling the 3D genomic conformation, focusing on deciphering disease-causing mutations that affect gene expression. We conclude that as this is a very challenging mission, an important direction should involve the comparative analysis of various 3D models from various organisms or cells.

Aneuploidy: an important model system to understand salient aspects of functional genomics

Maintaining a balance in gene dosage and protein activity is essential to sustain normal cellular functions. Males and females have a wide range of genetic as well as epigenetic differences, where X-linked gene dosage is an essential regulatory factor. Basic understanding of gene dosage maintenance has emerged from the studies carried out using mouse models with FCG (four core genotype) and chromosomal aneuploidy as well as from mono-chromosomal hybrid cells. In mammals, aneuploidy often leads to embryonic lethality particularly in early development with major developmental and structural abnormalities. Thus, in-depth analysis of the causes and consequences of gene dosage alterations is needed to unravel its effects on basic cellular and developmental functions as well as in understanding its medical implications. Cells isolated from individuals with naturally occurring chromosomal aneuploidy can be considered as true representatives, as these cells have stable chromosomal alterations/gene dosage imbalance, which have occurred by modulation of the basic molecular machinery. Therefore, innovative use of these natural aneuploidy cells/organisms with recent molecular and high-throughput techniques will provide an understanding of the basic mechanisms involved in gene dosage balance and the related consequences for functional genomics.

Cell Biology of the Caenorhabditis elegans Nucleus

Studies on the Caenorhabditis elegans nucleus have provided fascinating insight to the organization and activities of eukaryotic cells. Being the organelle that holds the genetic blueprint of the cell, the nucleus is critical for basically every aspect of cell biology. The stereotypical development of C. elegans from a one cell-stage embryo to a fertile hermaphrodite with 959 somatic nuclei has allowed the identification of mutants with specific alterations in gene expression programs, nuclear morphology, or nuclear positioning. Moreover, the early C. elegans embryo is an excellent model to dissect the mitotic processes of nuclear disassembly and reformation with high spatiotemporal resolution. We review here several features of the C. elegans nucleus, including its composition, structure, and dynamics. We also discuss the spatial organization of chromatin and regulation of gene expression and how this depends on tight control of nucleocytoplasmic transport. Finally, the extensive connections of the nucleus with the cytoskeleton and their implications during development are described. Most processes of the C. elegans nucleus are evolutionarily conserved, highlighting the relevance of this powerful and versatile model organism to human biology.

On TADs and LADs: Spatial Control Over Gene Expression

The combinatorial action of transcription factors drives cell-type-specific gene expression patterns. However, transcription factor binding and gene regulation occur in the context of chromatin, which modulates DNA accessibility. High-resolution chromatin interaction maps have defined units of chromatin that are in spatial proximity, called topologically associated domains (TADs). TADs can be further classified based on expression activity, replication timing, or the histone marks or non-histone proteins associated with them. Independently, other chromatin domains have been defined by their likelihood to interact with non-DNA structures, such as the nuclear lamina. Lamina-associated domains (LADs) correlate with low gene expression and late replication timing. TADs and LADs have recently been evaluated with respect to cell-type-specific gene expression. The results shed light on the relevance of these forms of chromatin organization for transcriptional regulation, and address specifically how chromatin sequestration influences cell fate decisions during organismal development.