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PubMed2005

The transcriptome of Toxoplasma gondii.

BACKGROUND: Toxoplasma gondii gives rise to toxoplasmosis, among the most prevalent parasitic diseases of animals and man. Transformation of the tachzyoite stage into the latent bradyzoite-cyst form underlies chronic disease and leads to a lifetime risk of recrudescence in individuals whose immune system becomes compromised. Given the importance of tissue cyst formation, there has been intensive focus on the development of methods to study bradyzoite differentiation, although the molecular basis for the developmental switch is still largely unknown. RESULTS: We have used serial analysis of gene expression (SAGE) to define the Toxoplasma gondii transcriptome of the intermediate-host life cycle that leads to the formation of the bradyzoite/tissue cyst. A broad view of gene expression is provided by >4-fold coverage from nine distinct libraries (approximately 300,000 SAGE tags) representing key developmental transitions in primary parasite populations and in laboratory strains representing the three canonical genotypes. SAGE tags, and their corresponding mRNAs, were analyzed with respect to abundance, uniqueness, and antisense/sense polarity and chromosome distribution and developmental specificity. CONCLUSION: This study demonstrates that phenotypic transitions during parasite development were marked by unique stage-specific mRNAs that accounted for 18% of the total SAGE tags and varied from 1-5% of the tags in each developmental stage. We have also found that Toxoplasma mRNA pools have a unique parasite-specific composition with 1 in 5 transcripts encoding Apicomplexa-specific genes functioning in parasite invasion and transmission. Developmentally co-regulated genes were dispersed across all Toxoplasma chromosomes, as were tags representing each abundance class, and a variety of biochemical pathways indicating that trans-acting mechanisms likely control gene expression in this parasite. We observed distinct similarities in the specificity and expression levels of mRNAs in primary populations (Day-6 post-sporozoite infection) that occur prior to the onset of bradyzoite development that were uniquely shared with the virulent Type I-RH laboratory strain suggesting that development of RH may be arrested. By contrast, strains from Type II-Me49B7 and Type III-VEGmsj contain SAGE tags corresponding to bradyzoite genes, which suggests that priming of developmental expression likely plays a role in the greater capacity of these strains to complete bradyzoite development.

Animals↗

PubMed2025

An adjuvant database for preclinical evaluation of vaccines and immunotherapeutics.

Adjuvants are immunostimulators used to enhance vaccine efficacy against infectious diseases. However, current methods for evaluating their efficacy and safety are limited, hindering large-scale screening. To address this, we developed a prototype Adjuvant Database (ADB) containing transcriptome data, generated using the same protocols as the widely used Open TG-GATEs (OTG) toxicogenomics database, covering 25 adjuvants across multiple species, organs, time points, and doses. This enabled cross-database integration of ADB and OTG. Transcriptomic patterns successfully distinguished each adjuvant regardless of organs or species. Using both databases, we built machine learning models to predict adjuvanticity and hepatotoxicity. Notably, we identified colchicine's adjuvant activity and FK565's liver toxicity through data-driven analysis. Overall, ADB combined with OTG offers a framework for transcriptomics-based, data-driven screening of adjuvant candidates.

Animals↗

PubMed2005

Serial analysis of gene expression in adrenocortical hyperplasia caused by a germline PRKAR1A mutation.

CONTEXT: Adrenocortical tumors have been studied at the molecular genetic and cytogenetic levels, but the gene expression profiles of normal and tumor adrenal tissue have not been extensively investigated. OBJECTIVE: The objective of this study was to obtain information about transcriptome differences in hyperplastic adrenal cells. DESIGN AND PATIENTS: We performed serial analysis of gene expression (SAGE) on control adrenal tissue and primary pigmented nodular adrenocortical disease (PPNAD) tissue from two adolescent female patients. MAIN OUTCOME MEASURE: The main outcome measure was to provide quantitative datasets of the vast majority of the transcripts implicated in normal and pathogenic adrenal functioning. RESULTS: The libraries of 28,705 and 31,278 tags represented 14,846 and 16,698 unique mRNAs from the control and PPNAD tissue, respectively. A total of 842 tags from the two libraries did not match any known sequences. We found 127 tags, including 70 no-match tags, to be expressed almost exclusively in control and/or PPNAD adrenals and to be absent or very rare in other human tissues. Examples of well-characterized genes expressed at significantly higher levels in PPNAD included steroidogenic acute regulator, chromogranin A, and those coding for the steroidogenic enzymes P450 cytochromes CYP17A1 and CYP21A2. Pathway analysis revealed Wnt signaling as the most up-regulated in PPNAD. These data were confirmed for selected genes by quantitative RT-PCR and/or immunohistochemistry. CONCLUSIONS: This study was the first of its kind for adrenal tissue and provides important information about the adrenal transcriptome and aberrant signaling in an inherited form of adrenocortical hyperplasia.

Adrenal Cortex Neoplasms↗

PubMed2025

Study Protocol for HeartMagic: A Prospective Observational Cohort Characterizing Subtypes of Heart Failure With Preserved Ejection Fraction.

BACKGROUND: Heart failure (HF) is a life-threatening syndrome with significant morbidity and mortality. Although evidence-based drug treatments have effectively reduced morbidity and mortality in HF with reduced ejection fraction (EF), few therapies have been demonstrated to improve outcomes in HF with preserved EF. This may be caused by the existence of several HF with preserved EF subtypes that each need different treatments. There is therefore an unmet need for a comprehensive approach to subtype patients with HF with preserved EF. This protocol details the approach employed in the HeartMagic (Heart Failure Studied With a Machine Learning, Genomics, and Imaging Combination) study to address this gap. METHODS: This prospective multicenter observational cohort study will include 500 consecutive patients with HF with preserved EF at 2 Swiss university hospitals, along with 50 age-matched patients with HF with reduced EF and 50 healthy controls. In addition to routine clinical workup, participants undergo genomic, transcriptomic, and metabolomic analyses, and the anatomy, composition, and function of the heart are quantified by comprehensive echocardiography and magnetic resonance imaging. Quantitative magnetic resonance imaging is also applied to characterize the kidney. The primary outcome is a composite of 1-year cardiovascular mortality or rehospitalization. Machine learning-based multimodal clustering will be employed to identify distinct HF with preserved EF subtypes. Statistical analysis will include group comparisons, survival analysis, and integrative multimodal clustering combining clinical, imaging, ECG, genomic, transcriptomic, and metabolomic data to identify and validate HF with preserved EF subtypes. CONCLUSIONS: The integration of comprehensive magnetic resonance imaging with extensive genomic and metabolomic profiling in this study will result in an unprecedented panoramic view of HF with preserved EF and help distinguish functional subgroups, which may provide a basis for personalized therapies.

Aged↗

PubMed2005

Regulation of global gene expression by ovariectomy and estrogen in female adipose tissue.

OBJECTIVE: To study the effects of ovariectomy (OVX) and estrogen replacement on global gene expression in white adipose tissue. RESEARCH METHODS AND PROCEDURES: Female mice were randomly divided into four groups: 1) intact, 2) OVX, 3) OVX plus estradiol (E2) injection 3 hours before death (E(2)-3 hours), and 4) E(2)-24 hours. The serial analysis of gene expression was performed to detect the transcriptomic changes. RESULTS: A total of 15 transcripts, including several novel transcripts, were found to be modulated by OVX or E2 (p<0.05). Secreted acidic cysteine-rich glycoprotein, which regulates the extracellular matrix (ECM) components, was increased after OVX. Moreover, OVX up-regulated several transcripts involved in ECM, such as procollagen types Ialpha1 and 2. In cell defense, glutathione peroxidase 3 was lower in OVX than in intact mice. Cytochrome c oxidase I and three novel transcripts were up-regulated by estrogen treatment. DISCUSSION: This study underlines the importance of cell shape and ECM regulation by OVX on adiposity. Moreover, some novel transcripts may also play a relevant role in OVX-induced obesity and estrogen therapy.

Adipose Tissue↗

PubMed2025

Synthetic allopolyploidy unveils hybridization-driven transcriptional reprogramming underlying thermal adaptation in Cucumis.

Both heterosis (hybrid vigor) resulting from hybridization and genetic plasticity conferred by whole-genome duplication (WGD) are recognized as drivers of evolutionary success and ecological adaptation in plants. Allopolyploids, which combine both hybridization and WGD, are widespread in both natural and agricultural settings and often exhibit superior performance. However, the relative contributions of these two elements to the success of allopolyploids remain poorly understood. Here, we employed an experimentally reconstructed allotetraploid Cucumis species (C. × hytivus, 2n = 4x = 38) and its diploid interspecific hybrid progenitor (allodiploid, 2n = 2x = 19) to decouple and investigate the distinct and combined contributions of hybridization and whole-genome doubling to immediate genetic and phenotypic consequences of allopolyploid formation under environmental stress. Both C. × hytivus and the allodiploid exhibited superior heat tolerance compared with the parental species with significantly higher semi-lethal temperature and enhanced physiological acclimation capacity. While the allodiploid and allotetraploid retain transcriptomic features where differences persist (e.g., WGCNA modules), comparative analysis of the 15,680 homoeologous gene pairs in the allodiploid and allotetraploid under heat stress (45°C) versus control conditions (28°C) revealed conserved heat-responsive transcriptional plasticity, suggesting that enhanced thermotolerance in C. × hytivus is presented as consequences arising dominantly after interspecific hybridization. This study provides mechanistic insights into allopolyploid adaptation through experimental reconstruction of allopolyploid genomes, demonstrating that hybridization initiates key transcriptional and physiological advantages under stress, subsequent WGD stabilizes these adaptations and contributes to the full phenotypic realization. This work decouples the roles of interspecific hybridization and WGD and proposes a synthetic biology approach for developing climate-resilient crops.

Hybridization, Genetic↗

PubMed2026

Divergent evolutionary strategies in spider venoms: A comparative proteomic profiling of four sympatric species from Yunnan.

Spider venoms comprise complex cocktails of bioactive molecules evolved for predation and defense, representing a valuable resource for biological research and pharmaceutical discovery. In this study, we performed a systematic analysis of venom gland extracts from four common spider species indigenous to Yunnan, China: Agelena limbata, Hippasa lycosina, Lycosa grahami, and Sinopoda pengi. Using an integrated transcriptomic and proteomic targeted profiling approach, we successfully annotated 141 distinct toxins. Comparative analysis revealed significant interspecific heterogeneity, suggesting distinct evolutionary trajectories and "weapon system economics." Both A. limbata and L. grahami exhibited a "peptide-dominant" profile anchored by neurotoxic peptides and isomerases, optimized for rapid chemical paralysis. In contrast, S. pengi displayed a distinct "protein-dominant" signature enriched with high-molecular-weight enzymes and CAP superfamily proteins, likely functioning to facilitate tissue degradation and toxin diffusion. Occupying an intermediate position, H. lycosina demonstrated a hybrid composition. These findings suggest that although these species share the same geographical range, their venom systems have undergone divergent evolutionary adaptations driven by specific ecological niches and hunting strategies. This study represents the first systematic proteomic characterization of these venom components, providing a valuable reservoir of molecular candidates while highlighting the bioinformatic nuances of analyzing whole-gland homogenates.

Animals↗

PubMed2026

ARISE: RNA-anchored shared-edge topology and hierarchical fusion for spatial multi-omics integration.

MOTIVATION: Spatial multi-omics technologies jointly profile transcriptomes, proteins and chromatin accessibility in situ, enabling integrative analysis of tissue organization across molecular layers. However, most existing graph-based integration methods rely on independently constructed modality-specific k-nearest-neighbor graphs. When auxiliary modalities are sparse or noisy, these graphs can become topologically discordant, propagate spurious edges, weaken cross-modal alignment, and reduce spatial domain resolution. RESULTS: We present Anchored RNA for Integrated Spatial Embedding (ARISE), an RNA expression anchored framework for spatial multi-omics integration. ARISE defines a shared-edge topology by intersecting RNA feature-similarity and spatial-proximity graphs, encodes auxiliary modalities on this common scaffold, and integrates them through inside-out hierarchical fusion. We further show theoretically that graph intersection minimizes false-positive edges within a broad class of k-of-r graph fusion rules, providing a principled basis for topology anchoring. Across various spatial multi-omics benchmarks spanning simulated and real datasets in bi-modal and tri-modal settings, ARISE improves spatial domain identification, cross-modal consistency, and preservation of tissue structure relative to existing methods. Furthermore, the learned representation supports biologically meaningful downstream analyses, including marker-based domain annotation, pathway enrichment, and cis-regulatory inference, indicating that ARISE yields a robust and interpretable framework for spatial multi-omics integration. AVAILABILITY AND IMPLEMENTATION: The source code is available at https://github.com/XiangxiangWang-code/ARISE. The archived version used in this study is available at https://doi.org/10.6084/m9.figshare.32686137.v2.

Multiomics↗

PubMed2003

Molecular analysis of cancer using DNA and protein microarrays.

In conclusion, array-based technologies have emerged that contribute to profiling tissues at the genomic, transcriptomic and proteomic levels. Analytical tools are needed to mine the vast amount of data generated. Ultimately the molecular analysis of cancer at a genome and proteome scale will allow better classification of disease and tailored individualized therapy for individual patients.

Biotechnology↗

PubMed2026

Multimodal risk assessment for oral potentially malignant disorders: Integrating patient-centered and specimen-derived data.

BACKGROUND: Oral potentially malignant disorders exhibit heterogeneous malignant transformation risk that clinical approaches fail to adequately predict. Histopathologic dysplasia grading, the reference standard of risk assessment, is associated with poor interobserver reliability and limited prognostic discrimination. It is necessary to define other potential patient- and tissue-associated risk modifiers to improve patient-specific disease prediction. TYPES OF STUDIES REVIEWED: PubMed was queried for patient- and specimen-derived factors as they relate to oral cancer and oral potentially malignant disorders, with preference for systematic review and meta-analysis articles published within the past 5 years. When not available, guidelines from the American Cancer Society, National Cancer Institute, or other national organizations or the most recent best articles were referenced to support the data presented. RESULTS: Within patient-associated factors, validated measures of tobacco and alcohol exposure, clinical lesion characteristics, systemic health factors including metabolic syndrome components, comorbidity risk, and dental health indexes were found. Within specimen-derived data, tissue-based analyses encompassing histopathology and advanced molecular profiling (genomic, epigenomic, transcriptomic, spatial approaches), blood-based germline and somatic mutation analysis, and saliva-based microbiome characterization and inflammatory biomarker assessment were addressed. PRACTICAL IMPLICATIONS: Malignant transformation reflects intersecting patient and specimen risk pathways that affect each patient differently; no single modality captures this complexity. Realizing precision prognostication in oral precancer will require coordinated expansion and standardization of data collection across research groups. This review is intended to guide covariate selection for prospective study design, improve reproducibility, and ultimately enable the development of validated multimodal risk prediction tools for clinical deployment.

Humans↗

PubMed2006

Some aspects of the venom proteome of the Colubridae snake Philodryas olfersii revealed from a Duvernoy's (venom) gland transcriptome.

We investigated the putative toxins of Philodryas olfersii (Colubridae), a representative of a family of snakes neglected in venom studies despite their growing medical importance. Transcriptomic data of the venom gland complemented by proteomic analysis of the gland secretion revealed the presence of major toxin classes from the Viperidae family, including serine proteases, metalloproteases, C-type lectins, Crisps, and a C-type natriuretic peptide (CNP). Interestingly, the phylogenetic analysis of the CNP precursor showed it as a linker between two related precursors found in Viperidae and Elapidae snakes. We suggest that these precursors constitute a monophyletic group derived from the vertebrate CNPs.

Amino Acid Sequence↗

PubMed2005

The Malpighian tubule: rapid insights from post-genomic biology.

Good osmoregulation is critical to the success of insects, and the Malpighian tubules play a key role in osmoregulation. Recently, the application of genetics and genomics to the Drosophila tubule has revealed far more extensive roles than ion and water transport. Microarray analysis shows that organic solute transporters dominate the tubule transcriptome. The tubule thus has the capability to excrete actively the broadest range of organic solutes and xenobiotics. Such transporters can produce unexpected, emergent roles for the whole tissue; e.g. the tubule is highly resistant to ouabain not because the Na+, K+ ATPase is unimportant, but because it co-localises with a potent alkaloid excretory mechanism. Reinforcing this role in excretion, the tubule expresses very high levels of a particular cytochrome P450s, glutathione-S-transferases and alcohol dehydrogenases which suggest that the tubule plays a major role in metabolism and detoxification of both endogenous solutes and xenobiotics, such as insecticides. Additionally, the tubule plays a significant role in immunity; tubules are capable of sensing bacterial challenge, and mounting an effective killing response by secretion of antimicrobial peptides, entirely independent of the fat body, the canonical immune tissue. The tubule has also proved to be a good model for some human renal disease, and to act as an organotypic 'testbed' for mammalian genes. The tubule can thus bask in a greatly enhanced reputation as a key tissue for an unexpectedly wide range of functions in the insect.

Animals↗

PubMed2005

Capucin: a novel striatal marker down-regulated in rodent models of Huntington disease.

In an initial study, we compared quantitative transcriptome data across mouse brain territories using the serial analysis of gene expression method. Among the novel regional markers that we discovered, we focused on a striatum-enriched transcript with no available experimental cDNA sequence. Here, we report its cloning, gene structure, and detailed distribution in mouse brain. Quantitative RT-PCR and in situ hybridization demonstrated predominant expression in dorsolateral striatum. We therefore named it capucin for caudate-and putamen-enriched sequence. Mouse capucin is a 237-amino-acid protein, without any registered ortholog in mammalian species. It contains no recognizable motif other than two predicted carboxy-terminal transmembrane domains. When expressed in fusion with a fluorescent protein, it localized to the Golgi apparatus in two mammalian cell lines. Interestingly, we observed a significant down-regulation of capucin mRNA levels in two rodent models of Huntington disease, indicating a possible contribution to the pathogenesis of this disorder.

Amino Acid Sequence↗

PubMed2006

Novel urothelium specific gene expression identified by differential display reverse transcriptase-polymerase chain reaction.

PURPOSE: Understanding the molecular basis of differential gene expression among different tissues at various developmental stages and in neoplastic transformation is an important biological goal. The potential clinical applications of this improved understanding are more precise diagnosis of disease, prediction of prognosis, novel targeted therapies and prediction of response to therapy. MATERIALS AND METHODS: Differential display reverse transcriptase-polymerase chain reaction was used to compare gene expression in bovine urothelium to that in autologous lung, esophagus, liver and spleen. Products that appeared to have urothelial specific expression were sequenced and assessed for homology with known sequences. Ribonuclease protection assays were used to further confirm the expression pattern. RESULTS: A total of 32 discrete cDNAs were identified, including 3 products from genes known to be urothelium specific in their expression, 16 with significant homology to bovine, human or mouse expressed sequence tags and 5 with no sequence homology to any currently available sequence. Urothelium specific mRNA expression was confirmed for 3 genes by ribonuclease protection assays and one (Udd06) was further characterized as a urea transporter. CONCLUSIONS: The use of differential display reverse transcriptase-polymerase chain reaction and other complementary techniques for parallel gene expression analysis will permit the complete characterization of the urothelial transcriptome and help identify potential molecular targets for rationally targeted therapy.

Animals↗

PubMed2005

Laser microdissection in CNS research.

The complexity of the brain makes the investigation of anatomically defined regions using manual dissection techniques problematic. With these manual dissection techniques, only a mixture of many different cell types can be obtained. This leads to averaging the contents of all the different cell types, making it nearly impossible to observe effects that are specific to one type of cell. Laser microdissection enables individual cell-types to be dissected accurately from the brain for subsequent analysis of the genome, proteome or, most frequently, the transcriptome. Investigating only functionally relevant cells with high specificity provides unambiguous data, resulting in faster identification of potential targets, the elucidation of drug mode-of-action, as well as aiding identification of biomarkers for diagnostics use.

Animals↗

PubMed2002

Seed dormancy and germination.

Seed dormancy and germination are complex adaptive traits of higher plants that are influenced by a large number of genes and environmental factors. Studies of genetics and physiology have shown the important roles of the plant hormones abscisic acid and gibberellin in the regulation of dormancy and germination. More recently, the use of quantitative genetics and mutant approaches has allowed the further genetic dissection of these traits and the identification of previously unknown components. Molecular techniques, and especially expression studies and transcriptome and proteome analyses, are novel tools for the analysis of seed dormancy and germination. These tools preferentially use Arabidopsis thaliana because of the molecular genetic resources available for this species. However, Solanaceae and cereals also provide important models for dormancy research.

Arabidopsis↗

PubMed2003

High-throughput classification of yeast mutants for functional genomics using metabolic footprinting.

Many technologies have been developed to help explain the function of genes discovered by systematic genome sequencing. At present, transcriptome and proteome studies dominate large-scale functional analysis strategies. Yet the metabolome, because it is 'downstream', should show greater effects of genetic or physiological changes and thus should be much closer to the phenotype of the organism. We earlier presented a functional analysis strategy that used metabolic fingerprinting to reveal the phenotype of silent mutations of yeast genes. However, this is difficult to scale up for high-throughput screening. Here we present an alternative that has the required throughput (2 min per sample). This 'metabolic footprinting' approach recognizes the significance of 'overflow metabolism' in appropriate media. Measuring intracellular metabolites is time-consuming and subject to technical difficulties caused by the rapid turnover of intracellular metabolites and the need to quench metabolism and separate metabolites from the extracellular space. We therefore focused instead on direct, noninvasive, mass spectrometric monitoring of extracellular metabolites in spent culture medium. Metabolic footprinting can distinguish between different physiological states of wild-type yeast and between yeast single-gene deletion mutants even from related areas of metabolism. By using appropriate clustering and machine learning techniques, the latter based on genetic programming, we show that metabolic footprinting is an effective method to classify 'unknown' mutants by genetic defect.

Cells, Cultured↗

PubMed2026

Integrating multi-omics technologies to decipher microbiome functions.

Multi-omics approaches have revolutionized our understanding of microbial communities by enabling simultaneous interrogation of genomic, transcriptomic, proteomic, and metabolomic data. The systematic integration and analysis of these deep datasets help decipher the functional roles of microbiomes, providing critical insights into microbial activities, interactions, and dynamics across diverse environments. Biological complexity makes multi-omics analysis of a single, isolated organism demanding but highly informative, yet this complexity increases further when samples comprise hundreds to thousands of individual species. As microbiome research continues to expand into clinical, environmental, and engineered systems, standardized workflows, benchmarked datasets, and community-driven initiatives are essential to ensure reproducibility, standardization and interpretability. Establishing and disseminating best practices for experimental design, data processing, and integrative analyses will be critical for maximizing comparability and scientific rigor across studies. This perspective highlights recent advances in multi-omics microbiome research, outlines key obstacles in data integration and metadata harmonization, and proposes a collaborative roadmap for scalable, FAIR-compliant multi-omics investigations and potentially disruptive Artificial Intelligence (AI) advances comparable to those of AlphaFold in the field of microbiome science.

Multiomics↗