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Imaging-Guided Omics Technologies for Resolving Rare Cancer States and Advancing Nanomedicine.

The ability to resolve rare and transient cellular states is critical for understanding metastasis, immune evasion, and therapy resistance in cancer, yet these dynamic processes often escape detection by conventional sequencing and imaging approaches. Recent advances at the interface of nanotechnology, high-resolution live-cell imaging, and single-cell/spatial multiomics methods have enabled functional profiling of cells with unprecedented precision within their native microenvironment. In this Mini-Review, we highlight emerging nanoscale platforms that couple real-time phenotypic imaging with molecular readouts, such as FUNseq and CIN-seq, to directly link functional heterogeneity to transcriptomic, proteomic, and epigenomic information. By integrating nanoscale optical imaging, microengineered perturbation tools, and AI-driven computational analysis, these technologies open up new avenues for dissecting rare metastatic, therapy-resistant, or immune-evasive subpopulations. We further discuss how these next-generation imaging-guided single-cell and spatial omics platforms not only advance fundamental cancer biology but also create opportunities to accelerate the development of nanomedicine applications.

Humans↗

Dietary Polyphenol Acteoside-Related Molecular Signatures in Clear Cell Renal Cell Carcinoma: Multi-Omics Profiling and Functional Validation of IMPDH1.

Clear cell renal cell carcinoma (ccRCC) is characterized by substantial metabolic and molecular heterogeneity, but the disease-relevant programs associated with acteoside, a dietary polyphenol, remain poorly understood. We integrated predicted acteoside targets with bulk, single-cell, and spatial transcriptomic data from ccRCC and combined molecular subtyping with cross-cohort machine-learning analysis. Acteoside-related signatures were preferentially enriched in malignant compartments and increased with tumor grade and stage. Consensus clustering identified two molecular subtypes with distinct biological and clinical features. C1 was associated with immune activation, metabolic activity, and more favorable survival, whereas C2 showed greater genomic instability, reduced renal epithelial differentiation, and poorer outcomes. We further benchmarked multiple machine-learning strategies and established a 10-gene prognostic model that retained predictive performance across independent cohorts, with IMPDH1 emerging as the strongest risk-associated feature. Functional experiments confirmed the biological relevance of IMPDH1: its knockdown suppressed ccRCC cell proliferation, DNA synthesis, colony formation, and migration, whereas overexpression produced the opposite effects. Together, these findings indicate that acteoside-related molecular signatures capture clinically relevant heterogeneity in ccRCC and provide a framework for linking dietary-polyphenol-related molecular space with tumor biology. The identification and functional validation of IMPDH1 further highlight its potential importance in ccRCC progression.

IMPDH1↗

Spatial profiling of the spleen in mouse and human myelofibrosis reveals complement-driven immune-stromal interactions as a therapeutic target.

Splenomegaly is a defining feature of myelofibrosis, yet the contribution of splenic mesenchymal stroma to disease progression remains unclear. We combined spatial and single-nucleus transcriptomics of patient spleens with spatial and single-cell transcriptomics, as well as imaging analyses, of murine spleens to map extramedullary hematopoiesis niches. Activated red pulp reticular cells localize near hematopoietic stem and progenitor cells, and early disease is characterized by marginal zone disruption with lymphoid depletion preceding stromal remodeling. Trajectory analyses reveal a shift in reticular cells from hematopoiesis-supportive to inflammatory and pro-fibrotic states, driven by macrophage- and megakaryocyte-derived signals that activate complement and induce tumor necrosis factor α (TNF-α), transforming growth factor β (TGF-β), extracellular matrix, and Thbs1 programs. Non-hematopoietic complement component C3 deficiency or pharmacological C3 inhibition suppresses these pathways, restores splenic architecture, and reduces splenomegaly and bone marrow fibrosis. These findings identify complement-dependent stromal reprogramming as a mechanism governing hematopoietic niches and as a targetable axis in myelofibrosis.

Animals↗

Platelet transcriptome: the application of microarray analysis to platelets.

Human blood platelets are intimately involved in the regulation of thrombosis, inflammation, and wound repair. These cells retain megakaryocyte-derived cytoplasmic mRNA and functionally intact protein translational capabilities, although very little is known about normal or pathological mRNA profiles. Microarray analysis has demonstrated a clear and reproducible molecular signature unique to platelets. There is a relative paucity of expressed transcripts compared with those found in other eukaryotic cells, most likely related to mRNA decay in these anucleate cells. In contrast, a complementary methodology for transcript profiling (serial analysis of gene expression [SAGE]) demonstrates that 89% of tags represent mitochondrial (mt) transcripts (enriched in 16S and 12S ribosomal RNAs), presumably related to persistent mt-transcription in the absence of nuclear-derived transcripts. The abundance of nonmitochondrial SAGE tags parallels relative expression for the most abundant transcripts as determined by microarray analysis, establishing the concordance of both techniques for platelet profiling. These observations establish the validity of transcript analysis as a tool for identifying novel platelet genes that may regulate normal and pathologic platelet (and/or megakaryocyte) functions. The potential application of platelet-specific microarrays in scientific and clinical settings related to platelet production, cardiovascular, and cerebrovascular diseases is reviewed.

Animals↗

Transcriptome and proteome analysis identifies the pathways that increase hepatic lipid accumulation in zinc-deficient rats.

For identification of the underlying molecular changes in hepatic lipid metabolism in zinc deficiency, rats were force-fed a zinc-deficient diet. Subsequently DNA-microarray and proteome profiling was performed in combination with hepatic lipid analysis. Of 6200 target sequences analyzed, 268 transcripts showed altered expression levels in livers of zinc-deficient rats, with 43 genes thereof related to hepatic lipid metabolism. Northern blot analysis and quantitative real-time RT-PCR were employed to confirm changes in mRNA levels. Proteins involved in lipid metabolism were identified by proteome analysis. Functional gene clusters with uniform changes in transcript levels suggested that the pathways required for lipolysis and mitochondrial as well as peroxisomal fatty acid degradation were downregulated, whereas those needed for de novo fatty acid synthesis and triglyceride assembly were increased. Subsequent enzymatic analysis of liver tissues confirmed an almost 40% greater triacylglycerol concentration in zinc-depleted rats, as well as an altered fatty acid composition of the lipid fraction as determined by gas chromatography. Liver lipids of zinc-deficient rats had significantly greater proportions of cis-9-oleic acid, cis-11-vaccenic acid, caprylic acid, myristic acid, alpha-linolenic acid, and eicosapentaenoic acid, and significantly less stearic and arachidonic acids. These alterations in hepatic metabolism are discussed in the context of changes in mRNA and protein levels of enzymes and transporters responsible for fatty acid metabolism, sequestration, and their transcriptional control.

Animals↗

Identification of a putative RocS homolog through phenotypic profiling of uncharacterized essential genes in Streptococcus mutans.

Genome-wide viability catalogs produced by transposon sequencing (Tn-seq) and CRISPR interference (CRISPRi) have successfully mapped the essential genome of Streptococcus mutans . In this study, we combined predictive bioinformatics, conditional CRISPRi transcriptional silencing, transmission electron microscopy, transcriptomics, and genetic suppressor screens to investigate nine poorly characterized essential genes in S. mutans . From this screen, phenotypic and genetic analyses identified SMU_393 as a functional homolog of the pneumococcal chromosome segregation factor, RocS. Depletion of SMU_393 resulted in abnormal cell widening, hypersensitivity to DNA damage, and a significant subpopulation of anucleate cells. These phenotypes were bypassed by a spontaneous surface-exposed missense mutation ( dnaA Q197E ) within the AAA+ ATPase domain of the replication initiator. Together, this study refines annotations within the S. mutans essential genome and provides genetic insights into streptococcal chromosome segregation and cell cycle control.

Journal Article↗

The transcription factor Gcr1 stimulates cell growth by participating in nutrient-responsive gene expression on a global level.

Transcriptomic reprogramming is critical to the coordination between growth and cell cycle progression in response to changing extracellular conditions. In Saccharomyces cerevisiae, the transcription factor Gcr1 contributes to this coordination by supporting maximum expression of G1 cyclins in addition to regulating both glucose-induced and glucose-repressed genes. We report here the comprehensive genome-wide expression profiling of gcr1Delta cells. Our data show that reduced expression of ribosomal protein genes in gcr1Delta cells is detectable both 20 min after glucose addition and in steady-state cultures of raffinose-grown cells, showing that this defect is not the result of slow growth or growth on a repressing sugar. However, the large cell phenotype of the gcr1Delta mutant occurs only in the presence of repressing sugars. GCR1 deletion also results in aberrant derepression of numerous glucose repressed loci; glucose-grown gcr1Delta cells actively respire, demonstrating that this global alteration in transcription corresponds to significant changes at the physiological level. These data offer an insight into the coordination of growth and cell division by providing an integrated view of the transcriptomic, phenotypic, and metabolic consequences of GCR1 deletion.

Carbon↗

Uncovering evolutionary patterns of gene expression using microarrays.

The advent of microarray technology is providing new insights into fundamental questions in evolutionary biology. Here, we review the recent literature on the use of microarrays to study the evolution of genome-wide patterns of gene expression within and between species. Large levels of variation in gene expression patterns have been observed at the intra and interspecific level, and a substantial fraction of transcriptional variation has a genetic component that is contributed by changes in both cis-acting and trans-acting regulatory elements. We argue that there is solid evidence to show that the temporal dynamics of transcriptional variation is largely determined by natural selection, with the fraction of the transcriptome more closely related to sex and reproduction evolving more rapidly.

Animals↗

Gastric cancer: prognostic and diagnostic advances.

Carcinoma of the stomach is one of the most prevalent cancer types in the world today. Only a limited number of biomarkers are available for detection and prognostic evaluation of gastric cancer. New advances in identifying molecular biomarkers are essential. Two major forms of gastric cancer are distinguished according to their morphological and clinicopathological classifications (well-differentiated/intestinal type and poorly differentiated/diffuse type)--characteristics that can also be attributed to different oncogene activations. Many genes related to cell cycle regulation and signal transduction have been implicated in gastric cancer progression. In particular, there is convincing evidence that protein tyrosine kinases (PTKs) are involved in oncogenesis and disease progression. To learn more about the biological significance of all expressed PTKs in human cancers, an improved and more-comprehensive PTK profiling approach has been developed to discover additional PTKs activated in cancer cells. With the completion of the human genome project and the availability of cDNA microarrays or DNA chips, the entire human transcriptome can be used for elucidating genes responsible for human gastric cancer oncogenesis and progression.

Humans↗

Role of strain differences on host resistance and the transcriptional response of macrophages to infection with Yersinia enterocolitica.

The outcome of a host-pathogen encounter is determined by virulence factors of the pathogen and defense factors of the host. We characterized the impact of host factors [resistant (C57BL/6) or susceptible (BALB/c) genetic background and exposure to interferon (IFN)-gamma] on transcriptional responses of bone marrow-derived macrophages (BMDM) to infection with Yersinia enterocolitica. IFN-gamma treatment more profoundly altered the transcriptome of BMDM than did bacterial infection or genetic background. In BALB/c BMDM, 1,161 genes were differentially expressed in response to Yersinia infection with or without IFN-gamma prestimulation. Fourteen genes (1.2%) could only be induced by BALB/c BMDM in response to Yersinia infection after IFN-gamma pretreatment. These genes inhibit apoptosis, activate NF-kappaB and Erk signaling, are chemotactic to neutrophils, and are involved in cytoskeletal reorganization, hence possibly in phagocytosis. Ten of these genes possess a common module of binding sites for Hox, Pou, and Creb transcription factors in 2 kb of upstream genomic sequence, suggesting a possible novel role of these transcription factors in regulation of immune responses. Fifty-two of one thousand fifty differentially expressed genes (4.9%) were induced more strongly by C57BL/6 BMDM in response to Yersinia infection than BALB/c BMDM. These genes activate NK cells, have antibacterial properties, or are involved in sensing chemokines and lipopolysaccharide (LPS). These data show that host resistance factors modulate a surprisingly small, but identifiable and functionally significant, portion of the macrophage transcriptome in response to Yersinia infection.

Animals↗

The -omics era and its impact.

OBJECTIVE: To review the advances in clinically useful molecular biologic techniques and to identify their applications, as presented at the 12th Annual William Beaumont Hospital DNA Symposium. DATA SOURCES: The 7 manuscripts submitted were reviewed and their major findings were compared with literature on the same or related topics. STUDY SELECTION: Manuscripts address the use of molecular techniques in the detection of severe acute respiratory syndrome (SARS) and bacterial ribosome mutations, which may lead to ribosome-targeted drug resistance; pharmacogenomics as a clinical laboratory service and example of warfarin dosing using CYP2C9 mutation analysis; definition of the potential of cytosine arabinoside incorporation into DNA to disrupt transcription using an in vitro model of oligonucleotides; use of laser capture microdissection to isolate solid tumor cells free of nontumor cells; and molecular methods used to classify lymphomas. DATA SYNTHESIS: Two current issues related to the use of molecular tests in the clinical laboratories are (1) decentralization of molecular-based testing to a variety of nonmolecular laboratories and (2) need for wider acceptance of molecular-based testing through its incorporation in clinical practice guidelines. Molecular methods have had a major impact on infectious disease through the rapid identification of new infectious agents, SARS, and the characterization of drug resistance. Pharmacogenomics identifies the genetic basis for heritable and interindividual variation in response to drugs. The incorporation of the nucleoside analog, cytosine arabinoside, into DNA leads to local perturbation of DNA structure and reduces the ability of transcription factors to bind to their specific DNA binding elements as measured by electrophoretic mobility shift assays. Laser capture microdissection of tumor cells can provide an adequate number of cells for whole genome amplification. Gene expression microassay profiles of various lymphomas have modified classification systems and predict prognosis and response to therapy. CONCLUSIONS: The current -omics era will continue to emphasize the use of microarrays and database software for genomic, transcriptomic, and proteomic screening to search for a useful clinical assay. The number of molecular pathologic techniques will expand as additional disease-associated mutations are defined.

Animals↗

Molecular characterization of embryonic gonads by gene expression profiling in Drosophila melanogaster.

In many animal species, germ-line progenitors associate with gonadal somatic cells to form the embryonic gonads (EGs) that later develop into functional organ producing gametes. To explore the genetic regulation of the germ-line development, we initiated a comprehensive identification and functional analysis of the genes expressed within the EGs. First, we generated a cDNA library from gonads purified from Drosophila embryos by FACS. Using this library, we catalogued the genes expressed in the gonad by EST analysis. A total of 17,218 high-quality ESTs representing 3,051 genes were obtained, corresponding to 20% of the predicted genes in the genome. The EG transcriptome is unexpectedly distinct from that of adult gonads and includes an extremely high proportion of retrotransposon-derived transcripts. We verified 101 genes preferentially expressed in the EGs by whole-mount in situ hybridization. Within this subset, 39 and 58 genes were expressed predominantly in germ-line and somatic cells, respectively, whereas four genes were expressed in the both cell lineages. The gonad-enriched genes encompassed a variety of predicted functions. However, genes implicated in SUMOylation and protein translation, including germ-line-specific ribosomal proteins, are preferentially expressed in the germ line, whereas the expression of various retrotransposons and RNAi-related genes are more prominent in the gonadal soma. These transcriptome data are a resource for understanding the mechanism of various cellular events during germ-line development.

Animals↗

Plasticity of mouse renal collecting duct in response to potassium depletion.

Plasticity of mouse renal collecting duct in response to potassium depletion.--Renal collecting ducts are the main sites for regulation of whole body potassium balance. Changes in dietary intake of potassium induce pleiotropic adaptations of collecting duct cells, which include alterations of ion and water transport properties along with an hypertrophic response. To study the pleiotropic adaptation of the outer medullary collecting duct (OMCD) to dietary potassium depletion, we combined functional studies of renal function (ion, water, and acid/base handling), analysis of OMCD hypertrophy (electron microscopy) and hyperplasia (PCNA labeling), and large scale analysis of gene expression (transcriptome analysis). The transcriptome of OMCD was compared in mice fed either a normal or a potassium-depleted diet for 3 days using serial analysis of gene expression (SAGE) adapted for downsized extracts. SAGE is based on the generation of transcript-specific tag libraries. Approximately 20,000 tags corresponding to 10,000 different molecular species were sequenced in each library. Among the 186 tags differentially expressed (P < 0.05) between the two libraries, 120 were overexpressed and 66 were downregulated. The SAGE expression profile obtained in the control library was representative of different functional classes of proteins and of the two cell types (principal and alpha-intercalated cells) constituting the OMCD. Combined with gene expression analysis, results of functional and morphological studies allowed us to identify candidate genes for distinct physiological processes modified by potassium depletion: sodium, potassium, and water handling, hyperplasia and hypertrophy. Finally, comparison of mouse and human OMCD transcriptomes allowed us to address the question of the relevance of the mouse as a model for human physiology and pathophysiology.

Acid-Base Equilibrium↗

Identification of novel stage-specific genetic requirements through whole genome transcription profiling of Vibrio cholerae biofilm development.

Bacterial biofilm formation has been described as a developmental process. This process may be divided into three stages: the planktonic stage, the monolayer stage and the biofilm stage. Bacteria in the planktonic stage are not attached to each other or to a surface; bacteria in the monolayer stage are attached to surfaces as single cells; and bacteria in the biofilm stage are attached to surfaces as cellular aggregates. In a study limited to the Vibrio cholerae flaA, mshA and vps genes, we previously demonstrated that transcription in monolayer cells is distinct from that in biofilm cells and that the genetic requirements of monolayer formation are distinct from those of biofilm formation. In this work, we sought to identify additional stage-specific genetic requirements through microarray analysis of the V. cholerae transcriptome during biofilm development. These studies demonstrated unique patterns of transcription in the planktonic, monolayer and biofilm stages of biofilm development. Based on our microarray results, we selected cheY-3 as well as two previously uncharacterized genes, bap1 and leuO, for targeted mutation. The DeltacheY-3 mutant displayed a defect in monolayer but not biofilm formation, suggesting that chemotaxis plays a stage-specific role in formation of the V. cholerae monolayer. Mutants carrying deletions in bap1 and leuO formed monolayers that were indistinguishable from those formed by wild-type V. cholerae. In contrast, these mutants displayed greatly decreased biofilm accumulation. Our microarray analyses document modulation of the transcriptome of V. cholerae as it progresses through the stages in biofilm development. These studies demonstrate that microarray analysis of the transcriptome of biofilm development may greatly accelerate the discovery of novel targets for stage-specific inhibition of biofilm development.

Bacterial Proteins↗

The differential gene expression profiles of proximal and distal muscle groups are altered in pre-pathological dysferlin-deficient mice.

The selective pattern of muscle involvement is a key feature of muscular dystrophies. Dysferlinopathy is a good model for studying this process since it shows variable muscle involvement that can be highly selective even in individual patients. The transcriptomes of proximal and distal muscles from wildtype C57BL/10 and dysferlin deficient C57BL/10.SJL-Dysf mice at a prepathological stage were assessed using the Affymetrix oligonucleotide-microarray system. We detected significant variation in gene expression between proximal and distal muscle in wildtype mice. Dysferlin defiency, even in the absence of pathological changes, altered this proximal distal difference but with little specific overlap with previous microarray analyses of dysferlinopathy. In conclusion, proximal and distal muscle groups show distinct patterns of gene expression and respond differently to dysferlin deficiency. This has implications for the selection of muscles for future microarray analyses, and also offers new routes for investigating the selectivity of muscle involvement in muscular dystrophies.

Animals↗

Histopathologic Features and Transcriptomic Signatures Do Not Solve the Issue of Magnetic Resonance Imaging-Invisible Prostate Cancers: A Matched-Pair Analysis.

BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) is pivotal in prostate cancer (PCa) diagnosis, but some clinically significant (cs) PCa remain undetected. This study aims to understand the pathological and molecular basis for csPCa visibility at mpMRI. METHODS: We performed a retrospective matched-pair cohort study, including patients undergoing radical prostatectomy (RP) for csPCa (i.e., ISUP grade group &#x2265;&#x2009;2) from 2015 to 2020, in our tertiary-referral center. We screened for inclusion in the "mpMRI-invisible" cohort all consecutive men (N&#x2009;=&#x2009;45) having a negative preoperative mpMRI. The "mpMRI-visible" cohort was matched based on age, PSA, prostate volume, ISUP grade group. Included patients underwent radiological and pathological open-label revisions and characterization of the tumor mRNA expression profile (analyzing 780 gene transcripts, signaling pathways, and cell-type profiling). We compared the clinical-pathological variables and the gene expression profile between matched pairs. The analysis was stratified according to histological characteristics and lesion diameter. RESULTS: We included 34 patients (17 per cohort); mean age at RP and PSA were 70.5 years (standard deviation [SD]&#x2009;=&#x2009;7.7), 7.1&#x2009;ng/mL (SD&#x2009;=&#x2009;3.3), respectively; 65% of men were ISUP 2. Overall, no significant differences in histopathological features, tumor diameter and location, mRNA profile, pathways, and cell-type scores emerged between cohorts. In the stratified analysis, an upregulation of cell adhesion and motility, of extracellular matrix remodeling and of metastatic process pathways was present in specific subgroups of mpMRI-invisible cancers. CONCLUSIONS: No PCa pathological or gene-expression hallmarks explaining mp-MRI invisibility were identified. Aggressive features can be present both in mpMRI-invisible and -visible tumors.

Humans↗

Transcriptional profiling of mefloquine-induced disruption of calcium homeostasis in neurons in vitro.

Mefloquine is associated with adverse neurological effects that are mediated via unknown mechanisms. Recent in vitro studies have shown that mefloquine disrupts neuronal calcium homeostasis via liberation of the endoplasmic reticulum (ER) store and induction of calcium influx across the plasma membrane. In the present study, global changes in gene expression induced in neurons in response to mefloquine-induced disruption of calcium homeostasis and appropriate control agents were investigated in vitro using Affymetrix arrays. The mefloquine transcriptome was found to be enriched for important regulatory sequences of the unfolded protein response and the drug was also found to induce key ER stress proteins, albeit in a manner dissimilar to, and at higher equivalent concentrations than, known ER-tropic agents like thapsigargin. Mefloquine also down-regulated several important functional categories of genes, including transcripts encoding G proteins and ion channels. These effects may be related to intrusion of extracellular calcium since they were also observed after glutamate, but not thapsigargin, hydrogen peroxide, or low-dose mefloquine treatment. Mefloquine could be successfully differentiated from other treatments on the basis of principle component analysis of its "calcium-relevant" transcriptome. These data may aid interpretation of expression of results from future in vivo studies.

Animals↗