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Radiomics as a spatial context for treatment decision-making in head and neck cancer.

Radiomics has been widely explored as a non-invasive biomarker in head and neck squamous cell carcinoma (HNSCC), yet its clinical role remains unclear. Tissue-based biomarkers differ in their susceptibility to spatial sampling. Biomarkers such as PD-L1 expression, immune-cell infiltration, necrosis, and immune exclusion may exhibit substantial spatial heterogeneity, whereas HPV/p16 status and some genomic alterations are generally more stable across the tumor. Nevertheless, localized sampling may incompletely capture heterogeneity in selected clinical contexts. This mismatch becomes clinically relevant when treatment decisions, particularly for chemoradiotherapy, immunotherapy, or de-escalation, are based on potentially non-representative biopsy findings. In this narrative review, we argue that the role of radiomics is not to outperform established biomarkers, but to contextualize them by capturing spatial heterogeneity related to hypoxia, necrosis, stromal architecture, and immune exclusion. We synthesize current evidence linking radiomic features to these biological processes and map them to specific clinical decision points, including larynx preservation, immunotherapy stratification, and recurrence assessment. Rather than serving as a standalone predictor, radiomics may provide complementary spatial information that helps identify situations in which biopsy-derived biomarkers should be interpreted with caution. Although current evidence is largely retrospective, radiomics offers a pragmatic framework for integrating spatial information into biomarker-guided clinical workflows.

Journal Article↗

Characterizations of highly expressed genes of four fast-growing bacteria.

Predicted highly expressed (PHX) genes are characterized for the completely sequenced genomes of the four fast-growing bacteria Escherichia coli, Haemophilus influenzae, Vibrio cholerae, and Bacillus subtilis. Our approach to ascertaining gene expression levels relates to codon usage differences among certain gene classes: the collection of all genes (average gene), the ensemble of ribosomal protein genes, major translation/transcription processing factors, and genes for polypeptides of chaperone/degradation complexes. A gene is predicted highly expressed (PHX) if its codon frequencies are close to those of the ribosomal proteins, major translation/transcription processing factor, and chaperone/degradation standards but strongly deviant from the average gene codon frequencies. PHX genes identified by their codon usage frequencies among prokaryotic genomes commonly include those for ribosomal proteins, major transcription/translation processing factors (several occurring in multiple copies), and major chaperone/degradation proteins. Also PHX genes generally include those encoding enzymes of essential energy metabolism pathways of glycolysis, pyruvate oxidation, and respiration (aerobic and anaerobic), genes of fatty acid biosynthesis, and the principal genes of amino acid and nucleotide biosyntheses. Gene classes generally not PHX include most repair protein genes, virtually all vitamin biosynthesis genes, genes of two-component sensor systems, most regulatory genes, and most genes expressed in stationary phase or during starvation. Members of the set of PHX aminoacyl-tRNA synthetase genes contrast sharply between genomes. There are also subtle differences among the PHX energy metabolism genes between E. coli and B. subtilis, particularly with respect to genes of the tricarboxylic acid cycle. The good agreement of PHX genes of E. coli and B. subtilis with high protein abundances, as assessed by two-dimensional gel determination, is verified. Relationships of PHX genes with stoichiometry, multifunctionality, and operon structures are also examined. The spatial distribution of PHX genes within each genome reveals clusters and significantly long regions without PHX genes.

Amino Acyl-tRNA Synthetases↗

Molecular characterization of a bacteriophage (Chp2) from Chlamydia psittaci.

Comparisons of the proteome of abortifacient Chlamydia psittaci isolates from sheep by two-dimensional gel electrophoresis identified a novel abundant protein with a molecular mass of 61.4 kDa and an isoelectric point of 6.41. C-terminal sequence analysis of this protein yielded a short peptide sequence that had an identical match to the viral coat protein (VP1) of the avian chlamydiaphage Chp1. Electron microscope studies revealed the presence of a 25-nm-diameter bacteriophage (Chp2) with no apparent spike structures. Thin sections of chlamydia-infected cells showed that Chp2 particles were located to membranous structures surrounding reticulate bodies (RBs), suggesting that Chp2 is cytopathic for ovine C. psittaci RBs. Chp2 double-stranded circular replicative-form DNA was purified and used as a template for DNA sequence analysis. The Chp2 genome is 4,567 bp and encodes up to eight open reading frames (ORFs); it is similar in overall organization to the Chp1 genome. Seven of the ORFs (1 to 5, 7, and 8) have sequence homologies with Chp1. However, ORF 6 has a different spatial location and no cognate partner within the Chp1 genome. Chlamydiaphages have three viral structural proteins, VP1, VP2, and VP3, encoded by ORFs 1 to 3, respectively. Amino acid residues in the phiX174 procapsid known to mediate interactions between the viral coat protein and internal scaffolding proteins are conserved in the Chp2 VP1 and VP3 proteins. We suggest that VP3 performs a scaffolding-like function but has evolved into a structural protein.

Abortion, Veterinary↗

Two spatially distinct genetic elements constitute a bipartite DNA replication origin in the minute virus of mice genome.

Mutations were introduced into plasmid pMM984, a full-length infectious clone of the fibrotropic strain of minute virus of mice, to identify cis-acting genetic elements required for the excision and replication of the viral genome. The replicative capacity of these mutants was measured directly, using an in vivo transient DNA replication assay following transfection of plasmids into murine A9 cells and primate COS-7 cells. Experiments with subgenomic constructs indicated that both viral termini must be present on the same DNA molecule for replication to occur and that the viral nonstructural protein NS-1 must be provided in trans. The necessary sequences were located within 1,084 and 807 nucleotides of the 3' and 5' ends of the minute virus of mice genome, respectively. The inhibitory effect of deletions within the 206-bp 5'-terminal palindrome demonstrated that these sequences comprise a cis-acting genetic element that is absolutely essential for the excision and replication of viral DNA. The results further indicated a requirement for a stem-plus-arms T structure as well as for the formation of a simple hairpin. In addition, the removal of one copy of a tandemly arranged 65-bp repeat found 94 nucleotides inboard of the 5'-terminal palindrome inhibited viral DNA replication in cis by 10- and just greater than 100-fold in A9 and COS-7 cells, respectively. The latter results define a novel genetic element within the 65-bp repeated sequence, distinct from the terminal palindrome, that is capable of regulating minute virus of mice DNA replication in a species-specific manner.

Animals↗

Spatial multiomics in biomedical research: advances beyond transcriptomics.

Coordinated changes in gene expression, epigenetic regulation, protein and metabolic activities together drive disease progression and determine clinical outcomes. While spatially resolved transcriptomics has been widely adopted across biomedical fields, it offers an incomplete picture limited to transcriptomic levels. Here, we survey the latest developments in spatial multiomics technologies, with particular emphasis on platforms that extend beyond conventional transcriptomics and profile genomics, epigenomics, proteomics, or metabolomics within intact tissues. These approaches are rapidly becoming commercialized, and here we highlight major technical breakthroughs, enhanced sample compatibility, emerging applications, and computational tools for data analysis. This Review aims to equip researchers with a clear understanding of the current technological landscape and to accelerate the adoption of spatial multiomics methods in biomedical research.

Humans↗

P-element-mediated enhancer detection allows rapid identification of developmentally regulated genes and cell specific markers in Drosophila.

We have employed a new technique in Drosophila that allows in vivo detection of genomic regulatory elements using a beta-galactosidase reporter gene. A translational fusion of the reporter gene to the P-transposase gene, which is encoded by the P-transposon of Drosophila, places the expression of beta-galactosidase under the control of the weak P-transposase promoter. Flies carrying single insertions of this P-element construct at different locations in the Drosophila genome frequently stain for beta-galactosidase activity in a temporally and spatially restricted fashion in embryos, larvae and adult ovaries, reflecting the influence of nearby genomic regulatory elements on the P-transposase promoter. This technique is a powerful tool as it can be used to produce very many different cell markers and to isolate developmentally regulated genes in Drosophila. We discuss the implications of our results and the applications of the technique to further the study of Drosophila development.

Animals↗

The burgeoning spatial multi-omics in human gastrointestinal cancers.

The development and progression of diseases in multicellular organisms unfold within the intricate three-dimensional body environment. Thus, to comprehensively understand the molecular mechanisms governing individual development and disease progression, precise acquisition of biological data, including genome, transcriptome, proteome, metabolome, and epigenome, with single-cell resolution and spatial information within the body's three-dimensional context, is essential. This foundational information serves as the basis for deciphering cellular and molecular mechanisms. Although single-cell multi-omics technology can provide biological information such as genome, transcriptome, proteome, metabolome, and epigenome with single-cell resolution, the sample preparation process leads to the loss of spatial information. Spatial multi-omics technology, however, facilitates the characterization of biological data, such as genome, transcriptome, proteome, metabolome, and epigenome in tissue samples, while retaining their spatial context. Consequently, these techniques significantly enhance our understanding of individual development and disease pathology. Currently, spatial multi-omics technology has played a vital role in elucidating various processes in tumor biology, including tumor occurrence, development, and metastasis, particularly in the realms of tumor immunity and the heterogeneity of the tumor microenvironment. Therefore, this article provides a comprehensive overview of spatial transcriptomics, spatial proteomics, and spatial metabolomics-related technologies and their application in research concerning esophageal cancer, gastric cancer, and colorectal cancer. The objective is to foster the research and implementation of spatial multi-omics technology in digestive tumor diseases. This review will provide new technical insights for molecular biology researchers.

Humans↗

Reconstructing the early spatial spread of pandemic respiratory viruses in the United States.

Understanding the geographic spread of emerging respiratory viruses is critical for pandemic preparedness, yet the early spatiotemporal dynamics of the 2009 H1N1 pandemic influenza and severe acute respiratory syndrome coronavirus 2 in the United States remain unclear. While mobility and genomic data have revealed important aspects of pandemic spatial spread, several key questions remain: Did the two pandemics follow similar spatial transmission routes? How rapidly did they spread across the United States? What role did stochastic processes play in early spatial transmission? To address these questions, we integrated high-resolution disease data with a robust, data-efficient inference framework combining air travel, commuting flows, and pathogen superspreading potentials to reconstruct their spatial spread across US metropolitan areas. The two pandemics exhibited distinct transmission pathways across locations; however, both pandemics established local circulation in most metropolitan areas within weeks, driven by several shared transmission hubs. Early spatial spread was more strongly associated with air travel than with commuting, though stochastic dynamics introduced substantial uncertainty in transmission routes, creating challenges for timely detection and control. Simulations indicate that broad wastewater surveillance coverage beyond top transmission hubs coupled with effective infection control may slow initial spatial expansion. Our findings highlight the rapid, stochastic spread of pandemic respiratory pathogens and the difficulties of early outbreak containment.

Humans↗

An hypothesis about genome structures in mammalian polyploid cells based on a new concept that genome is fractal of six hierarchies.

A new model for the spatial configurations of DNA is proposed to solve the problem of DNA loss in mammalian polyploid cells. The ordinary concept that chromosomes are situated independently in nuclei cannot account well for the DNA loss in polyploid cells. A new concept about the DNA configurations in diploid cells is constructed based on observations that have been reported. Briefly, the DNA structure is self-similar fractal with a unit of opposite-handed twin-circles. In human diploid cells, DNA is constructed with six hierarchies whose sizes are 32(5), 32(4), 32(3), 32(2), 32(1) and 32(0) with a unit of 200 DNA base pairs, corresponding to a genome, a chromosome, a chromosome band, a replicon, a rosette loop (a gene) and a nucleosome, respectively. A model assuming particular spatial configurations of chromosomes in polyploid cells is deduced from this new concept about chromosome configurations in diploid cells. It can account satisfactorily for the problem of DNA loss in polyploid cells. When cell division is inhibited and DNA synthesis progresses, replicated DNA will be stacked. When inhibitors are removed, the polyploidized cells may return to the initial ploidy, because the stacked DNA loops have not been linked. When the stacked DNA twin-loops are linked with a proper configuration, the cells may become polyploid cells. There is a distinct difference in genome structure between polyploidized and polyploid cells. The homologous chromosomes of polyploid cells are arrayed mirror-symmetrically and they can come close to each other in the folded structure. If DNA synthesis is bypassed at the paired homologous chromosomes, DNA content is lost at every cell division. As the DNA loss progresses, the chromosome configuration of polyploid cells deviates gradually from mirror-symmetry and the DNA loss ceases, resulting in the establishment of semi-stable hypoploid.

Animals↗

Genomic characterisation of a Fgf-regulated gradient-based neocortical protomap.

Recent findings support a model for neocortical area formation in which neocortical progenitor cells become patterned by extracellular signals to generate a protomap of progenitor cell areas that in turn generate area-specific neurons. The protomap is thought to be underpinned by spatial differences in progenitor cell identity that are reflected at the transcriptional level. We systematically investigated the nature and composition of the protomap by genomic analyses of spatial and temporal neocortical progenitor cell gene expression. We did not find gene expression evidence for progenitor cell organisation into domains or compartments, instead finding rostrocaudal gradients of gene expression across the entire neocortex. Given the role of Fgf signalling in rostrocaudal neocortical patterning, we carried out an in vivo global analysis of cortical gene expression in Fgfr1 mutant mice, identifying consistent alterations in the expression of candidate protomap elements. One such gene, Mest, was predicted by those studies to be a direct target of Fgf8 signalling and to be involved in setting up, rather than implementing, the progenitor cell protomap. In support of this, we confirmed Mest as a direct transcriptional target of Fgf8-regulated signalling in vitro. Functional studies demonstrated that this gene has a role in establishing patterned gene expression in the developing neocortex, potentially by acting as a negative regulator of the Fgf8-controlled patterning system.

Animals↗

Functional genomic analysis of CAF-1 mutants in Arabidopsis thaliana.

Duplication of chromatin following DNA replication requires spatial reorganization of chromatin domains assisted by chromatin assembly factor CAF-1. Here, we tested the genomic consequences of CAF-1 loss and the function of chromatin assembly factor CAF-1 in heterochromatin formation. Genes located in heterochromatic regions are usually silent, and we found that this transcriptional repression persists in the absence of CAF-1 in Arabidopsis. However, using microarrays we observed that genes that are active during late S-phase, when heterochromatin is duplicated, were up-regulated in CAF-1 mutants. Arabidopsis CAF-1 mutants also have reduced cytological heterochromatin content; however, DNA methylation of pericentromeric repeats was normal, demonstrating that CAF-1 is not required for maintenance of DNA methylation. Instead, hypomethylation of the genome, which has only mild effects on the development of wild-type plants, completely arrested development of CAF-1 mutants. These results suggest that CAF-1 functions in heterochromatin formation. CAF-1 and DNA methylation, which is also needed for heterochromatin formation, have partially redundant functions that are essential for cell proliferation. Interestingly, transcriptional repression and heterochromatin compaction can be genetically separated, and CAF-1 is required only for the complete compaction of heterochromatin but not to maintain transcriptional repression of heterochromatic genes.

Arabidopsis↗

Light-activated CRISPR/dCas9 nanomedicine for programmable control of renal fibrosis.

Renal fibrosis is the final common pathway of progressive chronic kidney disease and is maintained by spatially heterogeneous interactions among injured epithelial cells, activated fibroblasts, immune cells, extracellular matrix remodeling, metabolic stress, and persistent profibrotic transcriptional programs. Current therapies slow renal functional decline but do not directly control the regulatory circuits that stabilize maladaptive repair. Photoresponsive renal nanomedicine offers a potential strategy to add external control to anti-fibrotic intervention by combining kidney-directed delivery with light-gated release or activation of molecular payloads. This review examines the emerging interface between photoresponsive nanomaterials and CRISPR/dCas9-based gene regulation for renal fibrosis, with emphasis on upconversion nanoparticles, photoresponsive polymers, ROS- and pH-responsive matrices, optogenetic switches, and renal-compartment-directed carrier design. We argue that the most defensible therapeutic objective is not permanent genome editing or autonomous organ regeneration, but spatially confined, temporally limited, and reversible regulation of validated fibrotic or protective gene programs using CRISPRa, CRISPRi, or dCas9-based epigenome editors. The review therefore evaluates material requirements, optical-dosimetry constraints, payload architecture, renal biodistribution, target-selection logic, safety risks, and preclinical validation criteria. By defining the engineering and biological conditions required for controlled anti-fibrotic regulation, this framework positions photoresponsive renal nanomedicine as a translationally testable route toward localized modulation of fibrotic cell states rather than an overextended claim of kidney regeneration.

Anti-fibrotic gene regulation↗

Searching for coding sequences in the mammalian genome: the H-2K region of the mouse MHC is replete with genes expressed in embryos.

We have searched for expressed genes in 170 kb of cosmid cloned DNA from the H-2K region of the mouse MHC. This region is known to contain two genes, H-2K and K2. We identified unique/low copy sequences evenly spaced along the cloned DNA, and used these as probes to search for conserved sequences in Southern blots from a variety of mammalian species. The majority of the unique sequences were found to have homologues and most of these were associated with CpG non-methylated islands. Northern blot analysis and isolation of clones from 5.5 and 10.5-day embryo cDNA libraries showed five additional genes encoded in the H-2K region. Four of these are abundant in embryos; the fifth is exclusively expressed in lymphoid cells. Our data indicate a minimum of seven genes in 170 kb, an unexpectedly high gene density. These results differ from two recent studies where similar lengths of cloned DNA were examined for expressed genes, and only one, or a part of one gene was found. The combined data suggest that the spatial organization of genes in the mammalian genome may not be random.

Animals↗

Spatial normalization of array-CGH data.

BACKGROUND: Array-based comparative genomic hybridization (array-CGH) is a recently developed technique for analyzing changes in DNA copy number. As in all microarray analyses, normalization is required to correct for experimental artifacts while preserving the true biological signal. We investigated various sources of systematic variation in array-CGH data and identified two distinct types of spatial effect of no biological relevance as the predominant experimental artifacts: continuous spatial gradients and local spatial bias. Local spatial bias affects a large proportion of arrays, and has not previously been considered in array-CGH experiments. RESULTS: We show that existing normalization techniques do not correct these spatial effects properly. We therefore developed an automatic method for the spatial normalization of array-CGH data. This method makes it possible to delineate and to eliminate and/or correct areas affected by spatial bias. It is based on the combination of a spatial segmentation algorithm called NEM (Neighborhood Expectation Maximization) and spatial trend estimation. We defined quality criteria for array-CGH data, demonstrating significant improvements in data quality with our method for three data sets coming from two different platforms (198, 175 and 26 BAC-arrays). CONCLUSION: We have designed an automatic algorithm for the spatial normalization of BAC CGH-array data, preventing the misinterpretation of experimental artifacts as biologically relevant outliers in the genomic profile. This algorithm is implemented in the R package MANOR (Micro-Array NORmalization), which is described at http://bioinfo.curie.fr/projects/manor and available from the Bioconductor site http://www.bioconductor.org. It can also be tested on the CAPweb bioinformatics platform at http://bioinfo.curie.fr/CAPweb.

Algorithms↗

The creation of adenovirus genomes with viable, stable, internal redundancies centered about the E2b region.

During the course of constructing new adenoviral strains by overlap recombination, we have discovered that internally redundant viable genomes can be created by end-to-end joining of the input DNA molecules. The cellular functions responsible for the end-joining activity frequently ligated the overhanging single strands of the complementary ends to form a novel restriction site at the junction. In 2 of the 17 cases analyzed in detail by restriction digestion, and some sequence determinations, the cellular functions had repaired the ends, presumably prior to end-joining. Four of the isolates had suffered deletions at the junction ranging in size from 13 to 532 bp. The isolate with the largest deletion also had an insertion of 14 bp of unknown origin at the site of the deletion. All of the redundant isolates replicated as efficiently as isogenic unit length strains, and plaque dilution titrations obeyed one-hit kinetics, showing that the redundant genomes were nondefective. Nevertheless unit-length genomes were observed at a low level (some 5 to 10% of the total) in stocks of each isolate before and after plaque purification. They presumably arose by recombination between the redundant sequences either intra- or intermolecularly. Evidence from Southern blot analysis showed that molecules with three copies of the redundant sequences also arose and could be detected both in intracellular and in capsid viral DNA. These species would arise by unequal crossing-over between redundant genomes. The efficient replication of the redundant species demonstrates that the precise spatial relationships between splice donors and acceptors on either strand, in this region of the genome, do not have to be rigidly maintained. These data suggest that it may be possible to place other genetic information between the DNA polymerase and terminal protein precursor genes and have it expressed from the major late promoter in its normal location.

Adenoviruses, Human↗

Design, construction, characterization, and application of a hyperspectral microarray scanner.

We describe the design, construction, and operation of a hyperspectral microarray scanner for functional genomic research. The hyperspectral instrument operates with spatial resolutions ranging from 3 to 30 microm and records the emission spectrum between 490 and 900 nm with a spectral resolution of 3 nm for each pixel of the microarray. This spectral information, when coupled with multivariate data analysis techniques, allows for identification and elimination of unwanted artifacts and greatly improves the accuracy of microarray experiments. Microarray results presented in this study clearly demonstrate the separation of fluorescent label emission from the spectrally overlapping emission due to the underlying glass substrate. We also demonstrate separation of the emission due to green fluorescent protein expressed by yeast cells from the spectrally overlapping autofluorescence of the yeast cells and the growth media.

Equipment Design↗

CAF-1 is essential for heterochromatin organization in pluripotent embryonic cells.

During mammalian development, chromatin dynamics and epigenetic marking are important for genome reprogramming. Recent data suggest an important role for the chromatin assembly machinery in this process. To analyze the role of chromatin assembly factor 1 (CAF-1) during pre-implantation development, we generated a mouse line carrying a targeted mutation in the gene encoding its large subunit, p150CAF-1. Loss of p150CAF-1 in homozygous mutants leads to developmental arrest at the 16-cell stage. Absence of p150CAF-1 in these embryos results in severe alterations in the nuclear organization of constitutive heterochromatin. We provide evidence that in wild-type embryos, heterochromatin domains are extensively reorganized between the two-cell and blastocyst stages. In p150CAF-1 mutant 16-cell stage embryos, the altered organization of heterochromatin displays similarities to the structure of heterochromatin in two- to four-cell stage wild-type embryos, suggesting that CAF-1 is required for the maturation of heterochromatin during preimplantation development. In embryonic stem cells, depletion of p150CAF-1 using RNA interference results in the mislocalization, loss of clustering, and decondensation of pericentric heterochromatin domains. Furthermore, loss of CAF-1 in these cells results in the alteration of epigenetic histone methylation marks at the level of pericentric heterochromatin. These alterations of heterochromatin are not found in p150CAF-1-depleted mouse embryonic fibroblasts, which are cells that are already lineage committed, suggesting that CAF-1 is specifically required for heterochromatin organization in pluripotent embryonic cells. Our findings underline the role of the chromatin assembly machinery in controlling the spatial organization and epigenetic marking of the genome in early embryos and embryonic stem cells.

Animals↗

Multi‑omics identification of a novel signature for serous ovarian carcinoma in the context of 3P medicine and based on twelve programmed cell death patterns: a multi-cohort machine learning study.

BACKGROUND: Predictive, preventive, and personalized medicine (PPPM/3PM) is a strategy aimed at improving the prognosis of cancer, and programmed cell death (PCD) is increasingly recognized as a potential target in cancer therapy and prognosis. However, a PCD-based predictive model for serous ovarian carcinoma (SOC) is lacking. In the present study, we aimed to establish a cell death index (CDI)-based model using PCD-related genes. METHODS: We included 1254 genes from 12 PCD patterns in our analysis. Differentially expressed genes (DEGs) from the Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) were screened. Subsequently, 14 PCD-related genes were included in the PCD-gene-based CDI model. Genomics, single-cell transcriptomes, bulk transcriptomes, spatial transcriptomes, and clinical information from TCGA-OV, GSE26193, GSE63885, and GSE140082 were collected and analyzed to verify the prediction model. RESULTS: The CDI was recognized as an independent prognostic risk factor for patients with SOC. Patients with SOC and a high CDI had lower survival rates and poorer prognoses than those with a low CDI. Specific clinical parameters and the CDI were combined to establish a nomogram that accurately assessed patient survival. We used the PCD-genes model to observe differences between high and low CDI groups. The results showed that patients with SOC and a high CDI showed immunosuppression and hardly benefited from immunotherapy; therefore, trametinib_1372 and BMS-754807 may be potential therapeutic agents for these patients. CONCLUSIONS: The CDI-based model, which was established using 14 PCD-related genes, accurately predicted the tumor microenvironment, immunotherapy response, and drug sensitivity of patients with SOC. Thus this model may help improve the diagnostic and therapeutic efficacy of PPPM.

Humans↗