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Pathogenesis of psoriasis and psoriatic arthritis: Insights from animal models and single-cell and spatial transcriptomic analyses of skin, synovium and entheses.

Psoriasis (PsO) and psoriatic arthritis (PsA) are immune-mediated diseases characterized by chronic systemic inflammation, including inflammation of the skin and joints. Recent advances in animal models, single-cell transcriptomics, spatial transcriptomics, and proteomics have greatly enhanced our understanding of disease pathogenesis. Mouse models exhibit key features of skin and joint inflammation, facilitating analysis of molecular pathways, and identification of therapeutic targets. Single-cell and spatial transcriptomic analyses have revealed cell-type-specific contributions to inflammation, highlighting interactions between keratinocytes, T cells, fibroblasts, and dendritic cells that drive psoriatic pathology. In psoriatic synovium, type 17 tissue-resident memory T cells, monocytes, and fibroblasts contribute to local inflammation and joint damage, whereas the roles of B cells and plasma cells are less clear. Proteomic and metabolomic profiling in patients with PsA has identified circulating protein signatures and metabolites associated with disease progression, sex-specific differences, and response to therapy. The integration of these multiomic approaches provides a detailed map of immune-stromal-epithelial crosstalk across skin, synovium, and entheses, uncovering mechanisms that were previously inaccessible. These insights have implications for predicting disease progression, identifying novel therapeutic targets, and optimizing treatment strategies. Collectively, advances in animal models and multiomic profiling are reshaping our understanding of PsO and PsA, providing a framework for future research, disease monitoring, and therapeutic development.

Animals↗

gNCA: a framework for determining transcription factor activity based on transcriptome: identifiability and numerical implementation.

Network Component Analysis (NCA) is a network structure-driven framework for deducing regulatory signal dynamics. In contrast to classical approaches such as principal component analysis or independent component analysis, NCA makes use of the connectivity structure from transcriptional regulatory networks to restrict the decomposition to a unique solution. However, the existing version of NCA cannot incorporate information beyond the network topology such as information obtained from regulatory gene knockouts that constrain the dynamics of regulatory signals. The ability of incorporating such information enables a more accurate and self-consistent analysis over different experiments and extends NCA to systems that may not satisfy the identifiability criteria of NCA. In this paper, we derive a generalized form of NCA, gNCA, which significantly expands the capability of transcription network analysis by incorporating regulatory signal constraints arising from genetic knockouts. The theoretical bases including criteria for uniqueness of solution and distinguishability between networks are derived. In addition, numerical techniques for robust decomposition are discussed. gNCA is then demonstrated using an Escherichia coli wild-type strain and an isogenic arcA deletion mutant during a carbon source transition.

Bacterial Outer Membrane Proteins↗

Single-feature polymorphism discovery in the barley transcriptome.

A probe-level model for analysis of GeneChip gene-expression data is presented which identified more than 10,000 single-feature polymorphisms (SFP) between two barley genotypes. The method has good sensitivity, as 67% of known single-nucleotide polymorphisms (SNP) were called as SFPs. This method is applicable to all oligonucleotide microarray data, accounts for SNP effects in gene-expression data and represents an efficient and versatile approach for highly parallel marker identification in large genomes.

Gene Expression Profiling↗

Zinc suppresses the iron-accumulation phenotype of Saccharomyces cerevisiae lacking the yeast frataxin homologue (Yfh1).

Analysis of Saccharomyces cerevisiae cell transcriptome revealed that iron deprivation/supplementation affects genes other than those of the iron regulon (controlled by Aft proteins). Several genes regulated by zinc (induced by zinc deprivation) were induced by iron. Cells lacking the yeast frataxin homologue Yfh1 accumulate large amounts of iron in their mitochondria. We have shown that the zinc metabolism of these cells is also impaired: zinc uptake and zinc accumulation were both much lower in Delta yfh1 cells than in wild-type cells. Excess zinc in the growth medium also influenced the phenotypes of Delta yfh1 cells. It prevented the accumulation of iron in the mitochondria of Delta yfh1 cells and increased the growth rate of these cells and their resistance to oxidative stress. However, zinc did not restore the deficiency of Fe-S and haem proteins of Delta yfh1 cells. Zinc inhibited mitochondrial respiration and protected Yah1p, the mitochondrial ferredoxin. These results suggest that zinc nutrition may be important in the aetiology of Friedreich's ataxia.

Cell Division↗

ORESTES are enriched in rare exon usage variants affecting the encoded proteins.

A significant fraction of the variability found in the human transcriptome is due to alternative splicing, including alternative exon usage (AEU), intron retention and use of cryptic splice sites. We present a comparison of a large-scale analysis of AEU in the human transcriptome through genome mapping of Open Reading Frame ESTs (ORESTES) and conventional ESTs. It is shown here that ORESTES probe low abundant messages more efficiently. In addition, most of the variants detected by ORESTES affect the structure of the corresponding proteins.

Alternative Splicing↗

Spatially guided in vivo single-cell functional genomics of postnatal heart.

Understanding how spatial organization and cell-cell interactions shape gene regulatory programs is central to decoding tissue development and function. The transition at birth, marked by increased circulatory demands and rapid tissue growth, requires precise spatiotemporal coordination of cardiac maturation. In this study, we generated a high-resolution spatial and temporal atlas of the postnatal mouse heart by integrating single-nucleus RNA sequencing with image-based spatial transcriptomics. This framework revealed dynamic cellular interactions, niche-specific signaling and transcriptional programs guiding cardiomyocyte maturation. To functionally test prioritized regulators in vivo and at scale, we developed PIP-seq (probe-based indel-detectable Perturb-seq), a high-throughput platform that detects single guide RNA identity, infers gene editing and profiles transcription from fixed nuclei. Applying PIP-seq to the developing postnatal heart, we identified 21 previously uncharacterized regulators of cardiomyocyte maturation, including genes essential for sarcomere assembly, metabolic reprogramming and electrophysiological transitions. Together, our findings define how microenvironmental signals and intrinsic gene programs cooperate to guide heart maturation and establish a broadly applicable framework for functional genomics in complex tissues.

Animals↗

Zipf's law and human transcriptomes: an explanation with an evolutionary model.

Detailed analysis of human gene expression data reveals several patterns of relationship between transcript frequency and abundance rank. In muscle and liver, organs composed primarily of a homogeneous population of differentiated cells, they obey Zipf's law. In cell lines, epithelial tissue and compiled transcriptome data, only high-rankers deviate from it. We propose an evolutionary process model during which expression level changes stochastically proportionally to its intensity, providing a novel interpretation of transcriptome data and of evolutionary constraints on gene expression.

Evolution, Molecular↗

Differential display analysis of gene expression in yeast.

RNA differential display (DD) is a powerful and straightforward method that employs random reverse-transcription polymerase chain reaction amplification of mRNA species with electrophoresis for comparative analysis of two or more transcriptomes. The small yeast genome represents a convenient model for studying basic functions of the eukaryotic genome and simultaneously provides valuable information towards further refinement of this technique. Several examples discussed below illustrate how DD coupled with classical yeast genetic approaches may be used for studying transcriptionally regulated genetic systems.

Blotting, Northern↗

Knowledge of the Bacillus subtilis genome: impacts on fundamental science and biotechnology.

The advent of genomics has greatly influenced fundamental and applied microbiology. This has become paradigmatic in the case of Bacillus subtilis, a primary model bacterium for research and biotechnology. Indeed, mining its genome has provided more fruitful information than classical approaches would have yielded in a longer period of time. Through advanced analysis of its genome and transcriptome, fundamental discoveries dealing with the informational architecture of the B. subtilis chromosome, as well as with the elucidation of its pathway-level regulation of gene expression, have been achieved. The possibility of performing a complete metabolic manipulation of the secretory pathway of Bacillus is promising important biotechnological fallouts. Similar emphasis exists for the possibility of controlling the cell in the formation of biofilms with specific physical and chemical characteristics. At the theoretical level, the new concept of genetic superinformation has been formulated and its analytical approach implemented, while the understanding of the minimal genetic requirements for the existence of a reproducing bacterial cell is being tackled. In summary, the impact of the B. subtilis genome has philosophically revolutionised the way that basic knowledge is translated into applied microbiology and biotechnology, making this bacterium the workhorse of post-genomic microbiology.

Bacillus subtilis↗

Isogene specific oligo arrays reveal multifaceted changes in gene expression during grape berry (Vitis vinifera L.) development.

The transition from a green, hard, and acidic pericarp to a sweet, soft, coloured, and sugar-rich ripe fruit occurs in many unrelated fruit species. High throughput identification of differentially expressed genes in grape berry has been achieved by the use of 50-mers oligoarrays bearing a set of 3,200 Unigenes from Vitis vinifera to compare berry transcriptome at nine developmental stages. Analysis of transcript profiles revealed that most activations were triggered simultaneously with softening, occurring within only 24 h for an individual berry, just before any change in colouration or water, sugar, and acid content can be detected. Although most dramatically induced genes belong to unknown functional categories, numerous changes occur in the expression of isogenes involved in primary and secondary metabolism during ripening. Focusing on isogenes potentially significant in development regulation (hormonal control of transcription factor) revealed a possible role for several hormones (cytokinin, gibberellin, or jasmonic acid). Transcription factor analysis revealed the induction of RAP2 and WRKY genes at véraison, suggesting increasing biotic and abiotic stress conditions during ripening. This observation was strengthened by an increased expression of multiple transcripts involved in sugar metabolism and also described as induced in other plant organs during stress conditions. This approach permitted the identification of new isogenes as possible control points: a glutathione S-transferase exhibits the same expression profile as anthocyanin accumulation and a new putative sugar transporter is induced in parallel with sugar import.

Anthocyanins↗

Intratumoral PD-1+LAG-3+CD8+ T cells are associated with improved prognosis in gastric cancer.

PURPOSE: PD-1 and LAG-3 are frequently used as markers of T cell exhaustion, yet the prognostic relevance and phenotypic characteristics of PD-1+LAG-3+CD8+ T cells in gastric cancer (GC) remain poorly defined. This study aimed to investigate their association with clinical outcomes and characterize their immune characteristics across independent GC cohorts. METHODS: Four independent GC cohorts were analyzed: the Zhongshan Hospital cohort (ZSGC, n = 298), The Cancer Genome Atlas cohort (TCGA, n = 371), an Immune Checkpoint Blockade cohort (ICB, n = 45), and the Yonsei cohort (n = 433). Intratumoral PD-1+LAG-3+CD8+ T cell infiltration was quantified by immunofluorescence staining and transcriptomic gene signature scoring. Survival analysis was performed using Kaplan-Meier estimation and multivariate Cox regression. Functional characterization was performed by flow cytometry on resected GC tissue. The immune microenvironment composition was evaluated using computational analyses. RESULTS: PD-1+LAG-3+CD8+ T cells were enriched within tumors compared to adjacent normal mucosa, and their infiltration correlated with advanced tumor stage, poor differentiation, microsatellite instability, and Epstein-Barr virus (EBV)-positive molecular subtypes. High intratumoral infiltration was significantly associated with improved overall survival in both the ZSGC and TCGA cohorts, whereas single-positive PD-1+CD8+ or LAG-3+CD8+ T cells showed no such association. In the ICB cohort, higher infiltration was associated with a higher response rate to pembrolizumab. Intratumoral PD-1+LAG-3+CD8+ T cells exhibit an activated phenotype characterized by increased expression of CD137, IFN-γ, perforin, and CXCL13, along with elevated TCF7 and lower PD-1 levels, suggesting a tumor-reactive, pre-exhausted state. High infiltration was further associated with an immune-active tumor microenvironment. CONCLUSIONS: High intratumoral infiltration of PD-1+LAG-3+CD8+ T cells is associated with favorable prognosis and an immune-active microenvironment in GC. These cells display phenotypic features consistent with a pre-exhausted state and may serve as independent prognostic biomarkers and candidate predictive biomarkers for immunotherapy stratification.

Humans↗

Deleterious, protein-altering variants in GSPT2 are putatively associated with an X-linked neurodevelopmental disorder with intellectual disability, language impairment, autism, and epilepsy.

PURPOSE: Approximately 6% of individuals with neurodevelopmental disorders are predicted to be X-linked, and the GSPT2 gene, located at Xp11.22, has not yet been associated with any Mendelian disease. METHODS: To establish genotype-phenotype associations between GSPT2 and neurodevelopmental disorders, clinical investigations were performed in unrelated individuals, genomic and functional studies were conducted on the participants' blood and heterologous cell system. RESULTS: We described 6 individuals from 6 unrelated families carrying hemizygous variants in GSPT2 with intellectual disability, delayed speech and language development, autism spectrum disorder, epilepsy, or abnormal fetal neurodevelopment. Structural molecular modeling revealed significant deleterious effects of the identified variants. GSPT2 is preferentially enriched in the brain and cerebellum compared with other tissues. GSPT2-deficient H4 neuroglioma cells slow down the proliferation and downregulate the expression of cell-cycle-related genes. Transcriptomics revealed that GABAergic and calcium-signaling-related genes were significantly downregulated in GSPT2-deficient cells. Consistent with the transcriptomic data, RT-PCR analysis verified the marked downregulation of critical genes (CACNA1B, etc) in GSPT2-knockout cells and further confirmed these findings with proteomic profiling. CONCLUSION: Our data suggest a putative GSPT2-related X-linked neurodevelopmental disorders through dysregulation of cell-cycle progression and calcium/GABAergic signaling pathways.

Humans↗

Comprehensive Microbiome Analyses for Regenerative Endodontic Therapy.

INTRODUCTION: Comprehensive microbiome analyses include the study of all microbial taxa, including bacteria, archaea, viruses, and fungi, as well as their functional activities and antibiotic resistance gene expression. Regenerative endodontic therapy presents a clinical situation where the most effective antimicrobial approaches are needed in order to ensure clinical success. METHODS AND RESULTS: In this paper, different contemporary technologies for the identification of endodontic microorganisms, such as with next generation sequencing, and their functional characterization, such as with whole genome sequencing, are described. The role of transcriptomics, as well as resistome analysis, are also discussed. Furthermore, the manner in which all this work and knowledge could be incorporated into clinical endodontics in general, and regenerative endodontic therapy as a special treatment, is outlined. CONCLUSIONS: Comprehensive microbiome analysis can lead to the development of more effective and personalized antimicrobial treatment.

Endodontics↗

Mass spectrometric analysis of N- and O-glycosylation of tissues and cells.

Mass spectrometry has been at the forefront of glycobiological analysis for more than two decades. Recent advances in technology, coupled with increased global appreciation of the importance of the glycome in solving biological problems, have laid the foundations for an unprecedented increase in output. Under the auspices of major international consortia, significant progress is being made towards the development of integrated databases of specific cell and tissue N- and O-glycan profiles. Tools for the automation of both sample handling and data analysis are enabling a more concerted approach to glycan structural analysis. When combined with complementary transcriptomics and bioinformatics analyses, these tools will facilitate a new systems glycobiology approach to research.

Animals↗

Metabolic engineering of malolactic wine yeast.

Malolactic fermentation is essential for the deacidification of high acid grape must. We have constructed a genetically stable industrial strain of Saccharomyces cerevisiae by integrating a linear cassette containing the Schizosaccharomyces pombe malate permease gene (mae1) and the Oenococcus oeni malolactic gene (mleA) under control of the S. cerevisiae PGK1 promoter and terminator sequences into the URA3 locus of an industrial wine yeast. The malolactic yeast strain, ML01, fully decarboxylated 5.5 g/l of malate in Chardonnay grape must during the alcoholic fermentation. Analysis of the phenotype, genotype, transcriptome, and proteome revealed that the ML01 yeast is substantially equivalent to the parental industrial wine yeast. The ML01 yeast enjoys 'Generally Regarded As Safe' status from the FDA and is the first genetically enhanced yeast that has been commercialized. Its application will prevent the formation of noxious biogenic amines produced by lactic acid bacteria in wine.

Bacterial Proteins↗

Mapping the proteome of Drosophila melanogaster: analysis of embryos and adult heads by LC-IMS-MS methods.

Multidimensional separations combined with mass spectrometry are used to study the proteins that are present in two states of Drosophila melanogaster: the whole embryo and the adult head. The approach includes the incorporation of a gas-phase separation dimension in which ions are dispersed according to differences in their mobilities and is described as a means of providing a detailed analytical map of the proteins that are present. Overall, we find evidence for 1133 unique proteins. In total, 780 are identified in the head, and 660 are identified in the embryo. Only 307 proteins are in common to both developmental stages, indicating that there are significant differences in these proteomes. A comparison of the proteome to a database of mRNAs that are found from analysis by cDNA approaches (i.e., transcriptome) also shows little overlap. All of this information is discussed in terms of the relationship between the predicted genome, and measured transcriptomes and proteomes. Additionally, the merits and weaknesses of current technologies are assessed in some detail.

Animals↗

Transcriptional factors involved in photoreceptor differentiation.

Regenerative medicine constitutes a potentially promising therapy for blind people suffering from retinal degenerative diseases such as retinitis pigmentosa and age-related macular degeneration. For the realization of retinal regeneration, it is necessary to establish 1) a method to produce functional photoreceptor cells in vitro and 2) successful transplantation of the donor cells to connect their axons to the recipient secondary neurons so that they can function properly. The results of experimental transplantation of human retinal photoreceptor cells from cadaveric eyes or of fetal retinal cells into the retina of RP patients have not been satisfactory, but encouraging enough to indicate that the transplantation of developing retinal cells may have beneficial results. Recently, attempts have been made to generate photoreceptor-like cells from stem cells, but it remains to be seen whether they are in fact photoreceptor cells. It is therefore important to fully understand the mechanisms involved in the development of these cells, and to characterize them not only by transcriptome but also by functional analysis.

Animals↗

A specific promoter of the sensory cells of the inner ear defined by transgenesis.

To date, no promoter sequence specific to the inner ear sensory cells (hair cells) has been reported. In an effort to understand the molecular mechanisms that determine hair cell fate in the inner ear, and with the goal of developing a valuable tool for gene therapy and for the generation of conditional knockouts, we initiated a search for cis-acting DNA sequences that regulate the expression of the murine Myo7a and human MYO7A genes. These genes encode the unconventional myosin VIIA which is expressed in hair cells and in some other epithelial cells. We generated lines of transgenic mice expressing the green fluorescent protein (GFP ) reporter gene under the control of several 5'-truncated versions of the Myo7a/MYO7A promoter region and intron 1. We obtained transgenic mice with a GFP expression restricted to the hair cells of the inner ear, cochlea and vestibule. Successive deletions of the promoter allowed us to define a minimal sequence of 118 bp that is sufficient, in the presence of intron 1, to target the transgene expression to hair cells. In addition, the deletion of intron 1 from the transgenes abolished hair cell expression, thus indicating the presence of a strong enhancer in the intron. This is the first report of regulatory sequences sufficient to target the expression of a gene exclusively in sensory cells of the inner ear. It also opens up the possibility for the analysis of the hair cell transcriptome.

Animals↗