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PubMed2004

Spatial patterns of transcriptional activity in the chromosome of Escherichia coli.

BACKGROUND: Although genes on the chromosome are organized in a fixed order, the spatial correlations in transcription have not been systematically evaluated. We used a combination of genomic and signal processing techniques to investigate the properties of transcription in the genome of Escherichia coli K12 as a function of the position of genes on the chromosome. RESULTS: Spectral analysis of transcriptional series revealed the existence of statistically significant patterns in the spatial series of transcriptional activity. These patterns could be classified into three categories: short-range, of up to 16 kilobases (kb); medium-range, over 100-125 kb; and long-range, over 600-800 kb. We show that the significant similarities in gene activities extend beyond the length of an operon and that local patterns of coexpression are dependent on DNA supercoiling. Unlike short-range patterns, the formation of medium and long-range transcriptional patterns does not strictly depend on the level of DNA supercoiling. The long-range patterns appear to correlate with the patterns of distribution of DNA gyrase on the bacterial chromosome. CONCLUSIONS: Localization of structural components in the transcriptional signal revealed an asymmetry in the distribution of transcriptional patterns along the bacterial chromosome. The demonstration that spatial patterns of transcription could be modulated pharmacologically and genetically, along with the identification of molecular correlates of transcriptional patterns, offer for the first time strong evidence of physiologically determined higher-order organization of transcription in the bacterial chromosome.

Chromosome Mapping↗
PubMed2001

The role of genomic imprinting in human developmental disorders: lessons from Prader-Willi syndrome.

Normal human development involves a delicate interplay of gene expression in specific tissues at narrow windows of time. Temporally and spatially regulated gene expression is controlled both by gene-specific factors and chromatin-specific factors. Genomic imprinting is the expression of specific genes primarily from only one allele at particular times during development, and is one mechanism implicated in the intricate control of gene expression. Two human genetic disorders, Prader-Willi syndrome (PWS, MIM 176270) and Angelman syndrome (AS, MIM 105830), result from rearrangements of chromosome 15q11-q13, an imprinted region of the human genome. Despite their rarity, disorders such as PWS and AS can give focused insight into the role of genomic imprinting and imprinted genes in human development.

Alleles↗
PubMed2026

Multiregion profiling of genomic and transcriptional heterogeneity in head and neck squamous-cell carcinoma.

BACKGROUND: Intratumoral heterogeneity (ITH) is thought to contribute to tumour evolution and treatment resistance but its biological and clinical significance in localised head and neck squamous-cell carcinoma (HNSCC) remains incompletely understood. PATIENTS AND METHODS: In the prospective SCANDARE study, we analysed 87 patients with resectable HNSCC treated with upfront surgery. Two to five spatially distinct tumour regions per patient underwent pathological evaluation, targeted DNA sequencing, and bulk RNA sequencing. Genomic ITH (gITH) was quantified using clonal deconvolution and Shannon diversity indices, whereas transcriptional heterogeneity (tITH) was assessed using the intratumour expression distance metric. Associations between ITH, molecular features, tumour microenvironment composition, and clinical outcomes were explored using multivariable statistical models. RESULTS: Pathology-based spatial heterogeneity showed limited prognostic value. gITH was common, with 37% of tumours displaying regionally heterogeneous pathogenic variants, including spatially actionable alterations in 10% of patients. In an initial multivariable Cox model, higher gITH was associated with shorter disease-free survival. However, after Ridge-penalised modelling and bootstrap internal validation, the effect size was attenuated [corrected hazard ratio 1.42, 95% confidence interval (CI) 0.91-2.75]. The overall model retained moderate discriminative performance (optimism-corrected C-index 0.69, 95% CI 0.59-0.79). gITH was associated with tumour cellularity, reduced estimated endothelial cell infiltration, and alterations in KMT2C and PIK3CA. tITH differed according to human papillomavirus (HPV) status, with lower tITH in HPV-positive tumours, and was associated with distinct biological pathways and genomic alterations. Genomic and tITH were not correlated. CONCLUSIONS: This prospective multiregion study provides a comprehensive characterisation of genomic and tITH in localised HNSCC. Our findings highlight substantial spatial molecular diversity within primary tumours and suggest potential associations between heterogeneity, tumour biology, and clinical outcome that warrant validation in independent cohorts.

head and neck squamous-cell carcinoma (HNSCC)↗
PubMed2026

Reversibility of Nuclear and 3D Genomic Changes in Non-Cancerous Fibroblasts After Constricted Migration.

Metastatic cancer cells and healthy fibroblasts must traverse constrictive spaces to reach secondary sites. After passing through multiple constrictions, cancer cells often experience stable changes to their nucleus morphology, 3D genome structure, and migratory phenotype. Here, we investigate whether fibroblasts (BJ-5ta), which are non-cancerous and have an inherent ability to migrate to fulfill roles in wound repair, likewise experience nuclear and 3D genomic changes with constricted migration. We find that BJ-5ta cells only slightly increase their migratory capacity after sequential constricted migrations but do experience nuclear deformations and 3D genome alterations at the compartment level after constricted migration. Transient compartment shifts spatially rearranged genes associated with preparation for and response to migration. Unlike the stable changes associated with long term phenotype changes in cancer cells, however, the nucleus deformations recovered back to unmigrated levels following proliferation and cell movement. Some compartment changes persist and might influence responses to future stimuli, but most 3D genome changes revert to the unmigrated state after cell proliferation. Our study shows that non-cancerous migratory cells are not necessarily less susceptible to nucleus and 3D genome alterations caused by constricted migration, but do recover from such alterations more readily than cancer cells. [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text] [Media: see text].

Journal Article↗
PubMed2000

Alternative exon usage of rat septins.

Septins represent a family of phylogenetically conserved proteins required for cytokinesis. Their presence in pre- and postsynaptic neuronal membranes suggests a general function as scaffolds for membrane reorganization. The transcriptional regulation of all septins examined so far is complex, resulting in alternatively spliced variants. We focus here on the rat homologue of the gene for the human septin MSF, a truncated form of which, designated eseptin, had been described previously. It will be shown here that there is an alternative usage of the first exon by two forms, named exon r1a and r1b, respectively. Exon r1a, but not exon r1b, contains a part of the coding sequence while the start of translation for the remaining coding sequence resides in the second exon. The complete genomic organization was resolved and data on the temporal and spatial expression of this septins are presented.

Alternative Splicing↗
PubMed1987

Expression of a myelin basic protein gene in transgenic shiverer mice: correction of the dysmyelinating phenotype.

Mice homozygous for the autosomal recessive mutation shiverer (shi) lack myelin basic protein (MBP) and exhibit a distinct behavioral pattern including tremors (shivering), convulsions, and early death. We have previously demonstrated that shiverer mice have a partial deletion in the gene encoding MBP. We now have introduced the wild-type MBP gene into the germ line of shiverer mice by microinjection into fertilized eggs. Transgenic shiverer mice homozygous for the introduced gene have MBP mRNA and protein levels that are approximately 25% of normal, and produce compacted myelin with major dense lines. Correct temporal and spatial expression of the MBP gene is achieved with a genomic MBP cosmid clone containing 4 kb of 5' flanking sequence and 1 kb of 3' flanking sequence. Moreover, the four different forms of MBP produced by alternative patterns of RNA splicing are present. These homozygous transgenic shiverer mice no longer shiver nor die prematurely.

Alleles↗
PubMed2026

Characterizing the Discordance between AT-Rich Interacting Domain 1A Protein and Genotype in Endometrioid-Type Endometrial Tumors.

ARID1A is one of the most frequently mutated genes in endometrial cancer, with approximately 40% of patients harboring an ARID1A mutation. However, relatively little is known about how AT-rich interacting domain 1A (ARID1A) protein loss shapes endometrial cancer pathogenesis. Mounting evidence from other malignancies suggests that ARID1A protein can be regulated post-translationally, independent of genotype. However, most studies in endometrial cancer evaluate genotype alone, overlooking the potential for alternative mechanisms of ARID1A loss. To address this gap, ARID1A protein expression and genotype were examined in endometrioid tumors, and associated transcriptional changes were characterized. Evaluation of ARID1A protein in 71 human endometrioid tumors demonstrates that protein loss can occur regardless of ARID1A genotype. Retention or deficiency of ARID1A protein was not significantly related to variant allele frequency or location of mutation in human tumors with mutant ARID1A. A human endometrial cancer cell model suggests that ARID1A protein loss can occur through proteasomal degradation. Furthermore, ARID1A protein expression was found to be a predictor of worse overall survival in The Cancer Genome Atlas cohort of ARID1A wild-type endometrioid tumors. Spatial transcriptomics of 16 human endometrioid tumors revealed that both genotype and protein expression of ARID1A play a role in shaping unique transcriptional signatures in endometrial cancer and can be used to predict patient prognosis. Suggesting evaluation of ARID1A should not be done solely by sequencing techniques.

Humans↗
PubMed2026

Nuclear body assembly by a viral repeat RNA promotes Kaposi's sarcoma-associated herpesvirus gene expression.

Kaposin is the most abundantly expressed viral RNA in tumors caused by the oncogenic virus Kaposi's sarcoma-associated herpesvirus (KSHV); however, its role in viral replication is not understood. Here, we show that kaposin, previously viewed as a protein-coding transcript, exists primarily as a nuclear viral long non-coding RNA (lncRNA) that rebuilds cellular nuclear speckles (NSs) adjacent to the viral genome to enhance viral gene expression. Kaposin is both necessary and sufficient to drive substantial NS remodeling, and this effect depends on repetitive elements within the RNA. Absence of kaposin-mediated NS remodeling, depletion of the essential NS protein, serine/arginine repetitive matrix 2 (SRRM2), or steric blocking of the kaposin repetitive elements impair viral gene expression. This work defines kaposin as a viral architectural RNA that drives nuclear speckle seeding beside the viral genome and reframes our understanding of lncRNA function and the spatial organization of transcription in the infected cell nucleus.

Kaposi's sarcoma-associated herpesvirus↗
PubMed2026

Scalable, generalizable and uncertainty-aware integration of spatial multiomics across diverse modalities and platforms with SCIGMA.

Recent advances in spatial omics technologies have enabled simultaneous profiling of transcriptomic, proteomic, epigenomic, metabolomic and imaging data at high spatial resolution, offering unprecedented opportunities to dissect tissue complexity. However, integrating these diverse and large-scale spatial multimodal datasets remains a major computational challenge. We present SCIGMA, a scalable and generalizable deep learning framework for spatial multiomics integration. SCIGMA introduces an uncertainty-aware contrastive learning objective and multiview graph neural networks to preserve modality-specific signals while learning biologically meaningful joint representations. Unlike previous methods, SCIGMA provides spatially resolved uncertainty estimates, interpretably identifying regions of biological or technical heterogeneity. SCIGMA supports integration of up to five modalities, and its modular framework is extensible to future technologies with even more modalities. It also scales to more than 1 million spatial locations, enabling analysis of high-resolution datasets such as Visium HD and Xenium Prime. We evaluated SCIGMA across 19 datasets spanning 8 modalities, 10 tissues and 9 platforms. On benchmarkable datasets, SCIGMA outperformed other methods in spatial domain detection, modality preservation, feature reconstruction and reproducibility. SCIGMA identifies biologically meaningful structures, refined spatial domains and modality-specific regulatory programs, providing a robust, flexible and future-ready solution for scalable spatial multimodal integration.

Multiomics↗
PubMed2005

Laser capture microdissection for the analysis of gene expression during embryogenesis of Arabidopsis.

It is during embryogenesis that the body plan of the developing plant is established. Analysis of gene expression during embryogenesis has been limited due to the technical difficulty of accessing the developing embryo. Here we demonstrate that laser capture microdissection can be applied to the analysis of embryogenesis. We show how this technique can be used in concert with DNA microarray for the large-scale analysis of gene expression in apical and basal domains of the globular-stage and heart-stage embryo, respectively, when critical events of polarity, symmetry and biochemical differentiation are established. This high resolution spatial analysis shows that up to approximately 65% of the genome is expressed in the developing embryo, and that differential expression of a number of gene classes can be detected. We discuss the validity of this approach for the functional analysis of both published and previously uncharacterized essential genes.

Arabidopsis↗
PubMed2004

Chromatin dynamics at DNA replication, transcription and repair.

During DNA replication, transcription and DNA repair in eukaryotes, the cellular machineries performing these tasks need to gain access to the DNA that is packaged into chromatin in the nucleus. Chromatin is a dynamic structure that modulates the access of regulatory factors to the genetic material. A precise coordination and organization of events in opening and closing of the chromatin is crucial to ensure that the correct spatial and temporal epigenetic code is maintained within the eukaryotic genome. This review will summarize the current knowledge of how chromatin remodeling and histone modifying complexes cooperate to break and remake chromatin during nuclear processes on the DNA template.

Acetyltransferases↗
PubMed2004

Influence of an oyster reef on development of the microbial heterotrophic community of an estuarine biofilm.

We characterized microbial biofilm communities developed over two very closely located but distinct benthic habitats in the Pensacola Bay estuary using two complementary cultivation-independent molecular techniques. Biofilms were grown for 7 days on glass slides held in racks 10 to 15 cm over an oyster reef and an adjacent muddy sand bottom. Total biomass and optical densities of dried biofilms showed dramatic differences for oyster reef versus non-oyster reef biofilms. This study assessed whether the observed spatial variation was reflected in the heterotrophic prokaryotic species composition. Genomic biofilm DNA from both locations was isolated and served as a template to amplify 16S rRNA genes with universal eubacterial primers. Fluorescently labeled PCR products were analyzed by terminal restriction fragment length polymorphism, creating a genetic fingerprint of the composition of the microbial communities. Unlabeled PCR products were cloned in order to construct a clone library of 16S rRNA genes. Amplified ribosomal DNA restriction analysis was used to screen and define ribotypes. Partial sequences from unique ribotypes were compared with existing database entries to identify species and to construct phylogenetic trees representative of community structures. A pronounced difference in species richness and evenness was observed at the two sites. The biofilm community structure from the oyster reef setting had greater evenness and species richness than the one from the muddy sand bottom. The vast majority of the bacteria in the oyster reef biofilm were related to members of the gamma- and delta-subdivisions of Proteobacteria, the Cytophaga-Flavobacterium -Bacteroides cluster, and the phyla Planctomyces and Holophaga-Acidobacterium. The same groups were also present in the biofilm harvested at the muddy sand bottom, with the difference that nearly half of the community consisted of representatives of the Planctomyces phylum. Total species richness was estimated to be 417 for the oyster reef and 60 for the muddy sand bottom, with 10.5% of the total unique species identified being shared between habitats. The results suggest dramatic differences in habitat-specific microbial diversity that have implications for overall microbial diversity within estuaries.

Animals↗
PubMed2006

Co-expressed yeast genes cluster over a long range but are not regularly spaced.

Analysis in yeast of the relationship between a gene's genomic position and its expression profile, derived from chip array data, suggests that both closely linked genes and genes spaced at regular intervals show correlated expression profiles. Unfortunately, yeast arrays are often printed in genomic order. The above results may hence reflect little more than known spatial biases within arrays. To circumvent this problem, we analyse spatially unbiased expression data derived from a large Northern blot study. We find that local domains of co-expressed genes range up to 30 genes (100 kb), and are thus much larger than previously considered. There is, by contrast, no evidence for periodicity of co-expression in yeast. We likewise find no convincing evidence for periodicity in the human or mouse genome. Further, analysis of yeast transcription factor binding data sets suggests that there is currently no statistical evidence for chromosomal periodicity of co-regulation.

Animals↗
PubMed2001

The sheep genome contributes to localization of control elements in a human gene with complex regulatory mechanisms.

Genes that show complex tissue-specific and temporal control by regulatory elements located outside their promoters present a considerable challenge to identify the sequences involved. The rapid accumulation of genomic sequence information for a number of species has enabled a comparative phylogenetic approach to find important regulatory elements. For some genes, which show a similar pattern of expression in humans and rodents, genomic sequence information for these two species may be sufficient. Others, such as the cystic fibrosis transmembrane conductance regulator (CFTR) gene, show significant divergence in expression patterns between mouse and human, necessitating phylogenetic approaches involving additional species. The ovine CFTR gene has a temporal and spatial expression pattern that is very similar to that of human CFTR. Comparative genomic sequence analysis of ovine and human CFTR identified high levels of homology between the core elements in several potential regulatory elements defined as DNase I hypersensitive sites in human CFTR. These data provide a case for the power of an artiodactyl genome to contribute to the understanding of human genetic disease.

Animals↗
PubMed2026

Decoding regional keratinization in human oral mucosa through high-resolution spatial transcriptomics.

Oral mucosa exhibits region-specific keratinization, essential for periodontal health, yet the spatial and molecular mechanisms driving these differences remain poorly understood. This study aimed to generate a high-resolution spatial transcriptomic atlas of the human oral mucosa around the mucogingival junction, to reveal stromal-epithelial interactions, that distinguish keratinized from non-keratinized programs. Formalin-fixed paraffin-embedded specimens from the mucogingival junction area of two healthy donors were analyzed with the 10 × Genomics Visium HD platform, yielding two keratinized and two non-keratinized regions. Spatial clustering, pseudotime trajectory inference, cell-type integration with a single-cell reference, and ligand-receptor network analysis were applied to delineate epithelial and stromal compartments. Sixteen reproducible clusters, recapitulating tissue architecture, were identified and revealed distinct transcriptional signatures, distinguishing gingiva from lining mucosa. Pseudotime analysis revealed bifurcating epithelial lineages, originating from a shared basal progenitor layer into keratinized and non-keratinized programs. Gingival keratinization was driven by stromal collagen ligands (COL1A1, COL1A2, COL6A1, COL6A2) engaging epithelial receptors (CD44, SDC1), further reinforced within the epithelium by desmosomal adhesion via DSG1-DSC2/3. Gingival keratinization emerges from integrated stromal collagen signaling and epithelial adhesion. This spatially resolved framework advances understanding of oral mucosal specialization and provides a foundation for biologically guided regenerative therapies.

Humans↗
PubMed1994

Induction of complete segregation of cellular DNA and non-encapsidated viral genomes in herpes simplex virus type 1 infected HeLa cells as revealed by in situ hybridization.

The intranuclear distribution of human Alu elements and herpes simplex virus type 1 (HSV-1) genomes was examined in HeLa cells by post-embedding in situ hybridization using in parallel appropriate biotinylated DNA probes. The bound probes were detected by direct immunogold labeling. In non-infected cells, human Alu elements detected by BLUR 8 were randomly scattered over the masses and strands of chromatin throughout the nucleus. The marked asynchrony of the HSV-1 cycle in individual HeLa cells of 17 h infected cultures allowed us to study the respective distributions of cell and viral DNA during the course of the infectious cycle. Labeling of human Alu elements revealed that cellular DNA had become confined to the border of infected nuclei without extension of cellular DNA fibers into the newly formed electron-translucent regions that occupied the centers of the infected nuclei. Labeling of HSV-1 DNA detected by a viral DNA probe revealed that non-encapsidated viral genomes were present exclusively within this centrally located viral region whereas encapsidated HSV-1 genomes, which were more widely distributed in the infected cell, were seen within the marginated host chromatin as well as the central viral region. Therefore, HSV-1 infection induces a regrouping of human Alu elements, that is, of host chromatin at the nuclear border. Non-encapsidated HSV-1 genomes and cellular DNA do not co-localize. Instead, they always constitute two adjacent compartments without spatial interrelationships.

Cell Nucleus↗
PubMed2025

Spatial transcriptomics-aided localization for single-cell transcriptomics with STALocator.

Single-cell RNA-sequencing (scRNA-seq) techniques can measure gene expression at single-cell resolution but lack spatial information. Spatial transcriptomics (ST) techniques simultaneously provide gene expression data and spatial information. However, the data quality of the spatial resolution or gene coverage is still much lower than the quality of the single-cell transcriptomics data. To this end, we develop a ST-Aided Locator for single-cell transcriptomics (STALocator) to localize single cells to corresponding ST data. Applications on simulated data showed that STALocator performed better than other localization methods. When applied to the human brain and squamous cell carcinoma data, STALocator could robustly reconstruct the relative spatial organization of critical cell populations. Moreover, STALocator could enhance gene expression patterns for Slide-seqV2 data and predict genome-wide gene expression data for fluorescence in situ hybridization (FISH) and Xenium data, leading to the identification of more spatially variable genes and more biologically relevant Gene Ontology (GO) terms compared with the raw data. A record of this paper's transparent peer review process is included in the supplemental information.

Single-Cell Analysis↗
PubMed1990

Identification and DNA sequence of the Shope fibroma virus DNA topoisomerase gene.

The Shope fibroma virus (SFV) DNA topoisomerase gene has been identified and mapped to the BamHI D fragment near the midpoint of the genome. The DNA sequence of the SFV BamHI S fragment together with the contiguous BamHI-ClaI subfragment of BamHI D which encompasses the topoisomerase gene and two flanking genes has been determined and analyzed. Both the SFV DNA topoisomerase and the two flanking genes are closely related in terms of sequence and spatial organization to the homologous sequences from the midpoint of the vaccinia virus genome, indicating that these proteins are conserved not only in their sequence but also by position within the poxvirus genome. To confirm the assignment of the SFV gene, the putative SFV DNA topoisomerase has been expressed as an active fusion protein in Escherichia coli and this system should be useful in the analysis of topoisomerase function following the introduction of targeted mutations into the topoisomerase gene. The results of this work shed further light on the evolutionary relationship of the different poxvirus genera and indicate that central unique regions of the poxvirus genomes contain many of the essential viral genes and are thus highly conserved.

Amino Acid Sequence↗