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At least 109 records · Page 6Linked to original sources
PubMed2026

Paired genomic profiling of primary tumor and lymph-node metastases identifies candidate prognostic features in penile squamous cell carcinoma.

BACKGROUND: Penile squamous cell carcinoma (PSCC) is a rare malignancy with limited genomic data in Asian populations. Lymph node metastasis heavily dictates prognosis, yet molecular determinants of progression remain poorly understood. We aimed to characterize the genomic landscape and explore candidate prognostic genomic features using paired primary and metastatic PSCC tumors. PATIENTS AND METHODS: Targeted next-generation sequencing (437 cancer-related genes) was performed on primary tumors and matched lymph node metastases from 20 Chinese patients. Somatic alterations, intralesional heterogeneity, and tumor mutation burden (TMB) were analyzed and correlated with disease-free survival (DFS) and overall survival (OS). RESULTS: The most frequent primary tumor mutations included TP53 (45%) and TERT (40%). Notably, CCND1/FGF19 co-amplification (20% of cases) was associated with inferior DFS (P = .027) and showed a trend toward shorter OS (P = .050). Conversely, T-cell receptor (TCR) pathway alterations correlated with markedly improved survival. Comparing paired lesions revealed 59.8% shared alterations. Elevated TMB in metastases relative to matched primary tumors was significantly associated with poorer DFS (P = .008), while higher intralesional heterogeneity showed a trend toward worse OS. CONCLUSION: Paired profiling revealed broadly conserved genomic features together with lesion-specific divergence in PSCC. Recurrent CCND1/FGF19-containing 11q13 amplification, TCR pathway alterations, and elevated metastatic TMB warrant evaluation as potential prognostic features in larger, independently validated cohorts with integrated HPV and immune profiling.

Humans↗
PubMed1995

Molecular epidemiology of bovine rotaviruses. Characterization of rotaviruses isolated from diarrhoeic calves by genome profile analysis.

Fifteen bovine rotavirus group A strains were isolated in several Italian regions over the period 1981-1989 from calves in ten neonatal diarrhoea outbreaks. The electrophoretical analysis of the genoma showed genomic variations and five different profiles were observed, including one with thirteen dsRNA segments. The finding of extra RNA fragments, with respect to the regular eleven genome segments, suggests the possibility of simultaneous or sequential infection by more than one electropherotype or a modification in the length of RNA segments during infection.

Animals↗
PubMed2006

Chemical genomic profiling for identifying intracellular targets of toxicants producing Parkinson's disease.

The yeast deletion collection includes approximately 4700 strains deleted for both copies of every nonessential gene. This collection is a powerful resource for identifying the cellular pathways that functionally interact with drugs. In the present study, the complete pool of approximately 4700 barcoded homozygous deletion strains of Saccharomyces cerevisiae were surveyed to identify genes/pathways interacting with 1-methyl-4-phenylpyridinium (MPP(+)) and N,N-dimethyl-4-4-bipiridinium (paraquat), neurotoxicants that can produce Parkinson's disease. Each yeast mutant is molecularly "barcoded" the collections can be grown competitively and ranked for sensitivity by microarray hybridization. Analysis data from these screens allowed us to determine that the multivesicular body pathway is an important element of toxicity induced by both MPP(+) and paraquat. When yeast genes that when deleted showed sensitivity to MPP(+) and paraquat toxicity were analyzed for their homology to human genes, 80% were found to have highly conserved human homologs (with e < 10(-8)). Future work will address if these human genes may also functionally interact with MPP(+) and paraquat toxicity.

1-Methyl-4-phenylpyridinium↗
PubMed2005

Insights into TOR function and rapamycin response: chemical genomic profiling by using a high-density cell array method.

With the advent of complete genome sequences, large-scale functional analyses are generating new excitement in biology and medicine. To facilitate genomewide functional analyses, we developed a high-density cell array with quantitative and automated readout of cell fitness. Able to print at > x 10 higher density on a standard microtiter plate area than currently possible, our cell array allows single-plate screening of the complete set of Saccharomyces cerevisiae gene-deletion library and significantly reduces the amount of small molecules and other materials needed for the study. We used this method to map the relation between genes and cell fitness in response to rapamycin, a medically important natural product that targets the eukaryotic kinase Tor. We discuss the implications for pharmacogenomics and the uncharted complexity in genotype-dependent drug response in molecularly targeted therapies. Our analysis leads to several basic findings, including a class of gene deletions that confer better fitness in the presence of rapamycin. This result provides insights into possible therapeutic uses of rapamycin/CCI-779 in the treatment of neurodegenerative diseases (including Alzheimer's, Parkinson's, and Huntington's diseases), and cautions the possible existence of similar rapamycin-enhanceable mutations in cancer. It is well established in yeast that although TOR2 has a unique rapamycin-insensitive function, TOR1 and TOR2 are interchangeable in the rapamycin-sensitive functions. We show that even the rapamycin-sensitive functions are distinct between TOR1 and TOR2 and map the functional difference to a approximately 120-aa region at the N termini of the proteins. Finally, we discuss using cell-based genomic pattern recognition in designing electronic or optical biosensors.

Cell Cycle Proteins↗
PubMed2026

Early-Onset Colorectal Cancer: Clinical and Molecular Features with Emerging Insights from Comprehensive Genomic Profiling.

Early&#x2011;onset colorectal cancer (EOCRC), defined as colorectal cancer (CRC) diagnosed before 50 years of age, is increasing globally. Colorectal cancer is currently the third most commonly diagnosed cancer and the second leading cause of cancer-related death worldwide, with GLOBOCAN 2024 estimating approximately 2.04 million new cases and 917,895 deaths in 2024. Recent studies indicate a sustained rise in EOCRC incidence across multiple regions and birth cohorts, with the greatest increases observed among younger adults. Although hereditary cancer syndromes account for 20-25% of EOCRC cases, most occur in the absence of known genetic predispositions or established risk factors. Emerging evidence implicates the gut microbiome as a potential contributor to EOCRC, with distinct microbial signatures differentiating it from late&#x2011;onset colorectal cancer (LOCRC) diagnosed after 50 years of age. This review synthesizes current evidence on clinical, molecular, and diagnostic features distinguishing EOCRC from LOCRC, including differences in anatomical distribution, histopathology, genomic and epigenetic alterations, microbiome composition, and immune landscape, and discusses their implications for personalised screening and therapeutic strategies. We performed a retrospective secondary analysis of comprehensive genomic and immune profiling data from 1737 patients with colorectal cancer tested between June 2021 and June 2023. The analysis showed that tumours arising in patients with EOCRC had lower tumour mutational burden than tumours diagnosed as LOCRC, whereas other immune-related biomarkers, including tumour immunogenicity score, did not remain significantly different after correction for multiple testing. Despite these emerging biological differences, current screening strategies remain largely dependent on an age threshold of 50 years, and EOCRC is not addressed by age&#x2011;specific treatment approaches. We therefore review the translational potential of emerging biomarkers, including microbial signatures and liquid biopsy approaches, and propose a framework for integrating molecular profiling into clinical practice. Finally, we highlight the unmet need for coordinated efforts to improve screening in younger populations, address fertility preservation considerations, and ensure adequate psychosocial support for patients with EOCRC.

Early-onset colorectal cancer↗
PubMed2002

Genomic profiles of clinical and environmental isolates of Vibrio cholerae O1 in cholera-endemic areas of Bangladesh.

Diversity, relatedness, and ecological interactions of toxigenic Vibrio cholerae O1 populations in two distinctive habitats, the human intestine and the aquatic environment, were analyzed. Twenty environmental isolates and 42 clinical isolates were selected for study by matching serotype, geographic location of isolation in Bangladesh, and season of isolation. Genetic profiling was done by enterobacterial repetitive intergenic consensus sequence-PCR, optimized for profiling by using the fully sequenced V. cholerae El Tor N16961 genome. Five significant clonal clusters of haplotypes were found from 57 electrophoretic types. Isolates from different areas or habitats intermingled in two of the five significant clusters. Frequencies of haplotypes differed significantly only between the environmental populations (exact test; P < 0.05). Analysis of molecular variance yielded a population genetic structure reflecting the differentiating effects of geographic area, habitat, and sampling time. Although a parameter confounding the latter differences explained 9% of the total molecular variance in the entire population (P < 0.01), the net effect of habitat and time could not be separated because of the small number of environmental isolates included in the study. Five subpopulations from a single area were determined, and from these we were able to estimate a relative differentiating effect of habitat, which was small compared with the effect of temporal change. In conclusion, the resulting population structure supports the hypothesis that spatial and temporal fluctuations in the composition of toxigenic V. cholerae populations in the aquatic environment can cause shifts in the dynamics of the disease.

Bangladesh↗
PubMed2027

Teratoma Formation and Genomic Profiling Using Multi-Omics Approaches.

Teratoma formation is the gold standard assay for evaluating the developmental pluripotency of human and mouse embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs). Following subcutaneous injection into immunodeficient mice, pluripotent stem cells spontaneously differentiate into derivatives representing all three embryonic germ layers-ectoderm, mesoderm, and endoderm. Beyond serving as a functional assay for pluripotency, teratomas provide a unique three-dimensional model system for studying early human development and lineage specification in vivo. This chapter describes comprehensive protocols for teratoma formation in immunodeficient mice, tissue processing for multiple downstream genomic applications, and multi-omics profiling approaches. We detail methods for embryonic stem cell culture, teratoma generation via subcutaneous injection, tissue dissection and processing for chromatin immunoprecipitation followed by sequencing (ChIP-Seq), RNA sequencing (RNA-Seq), single-cell multiome profiling combining chromatin accessibility (ATAC-Seq) and gene expression (scRNA-Seq), and histological analysis using hematoxylin and eosin (H&E) staining. Additionally, we provide bioinformatics workflows for analyzing the resulting genomic datasets to characterize the epigenetic and transcriptional landscapes of teratoma-derived tissues. These methods enable comprehensive molecular characterization of developmental processes and provide valuable resources for stem cell biologists studying pluripotency, differentiation, and early embryonic development.

Teratoma↗
PubMed2006

Identification of novel genomic markers related to progression to glioblastoma through genomic profiling of 25 primary glioma cell lines.

Identification of genetic copy number changes in glial tumors is of importance in the context of improved/refined diagnostic, prognostic procedures and therapeutic decision-making. In order to detect recurrent genomic copy number changes that might play a role in glioma pathogenesis and/or progression, we characterized 25 primary glioma cell lines including 15 non glioblastoma (non GBM) (I-III WHO grade) and 10 GBM (IV WHO grade), by array comparative genomic hybridization, using a DNA microarray comprising approx. 3500 BACs covering the entire genome with a 1 Mb resolution and additional 800 BACs covering chromosome 19 at tiling path resolution. Combined evaluation by single clone and whole chromosome analysis plus 'moving average (MA) approach' enabled us to confirm most of the genetic abnormalities previously identified to be associated with glioma progression, including +1q32, +7, -10, -22q, PTEN and p16 loss, and to disclose new small genomic regions, some correlating with grade malignancy. Grade I-III gliomas exclusively showed losses at 3p26 (53%), 4q13-21 (33%) and 7p15-p21 (26%), whereas only GBMs exhibited 4p16.1 losses (40%). Other recurrent imbalances, such as losses at 4p15, 5q22-q23, 6p23-25, 12p13 and gains at 11p11-q13, were shared by different glioma grades. Three intervals with peak of loss could be further refined for chromosome 10 by our MA approach. Data analysis of full-coverage chromosome 19 highlighted two main regions of copy number gain, never described before in gliomas, at 19p13.11 and 19q13.13-13.2. The well-known 19q13.3 loss of heterozygosity area in gliomas was not frequently affected in our cell lines. Genomic hotspot detection facilitated the identification of small intervals resulting in positional candidate genes such as PRDM2 (1p36.21), LRP1B (2q22.3), ADARB2 (10p15.3), BCCIP (10q26.2) and ING1 (13q34) for losses and ECT2 (3q26.3), MDK, DDB2, IG20 (11p11.2) for gains. These data increase our current knowledge about cryptic genetic changes in gliomas and may facilitate the further identification of novel genetic elements, which may provide us with molecular tools for the improved diagnostics and therapeutic decision-making in these tumors.

Cell Line, Tumor↗
PubMed2006

High-resolution genomic profiles define distinct clinico-pathogenetic subgroups of multiple myeloma patients.

To identify genetic events underlying the genesis and progression of multiple myeloma (MM), we conducted a high-resolution analysis of recurrent copy number alterations (CNAs) and expression profiles in a collection of MM cell lines and outcome-annotated clinical specimens. Attesting to the molecular heterogeneity of MM, unsupervised classification using nonnegative matrix factorization (NMF) designed for array comparative genomic hybridization (aCGH) analysis uncovered distinct genomic subtypes. Additionally, we defined 87 discrete minimal common regions (MCRs) within recurrent and highly focal CNAs. Further integration with expression data generated a refined list of MM gene candidates residing within these MCRs, thereby providing a genomic framework for dissection of disease pathogenesis, improved clinical management, and initiation of targeted drug discovery for specific MM patients.

Chromosomes, Human↗
PubMed2003

Genomic profiling of iron-responsive genes in Salmonella enterica serovar typhimurium by high-throughput screening of a random promoter library.

The importance of iron to bacteria is shown by the presence of numerous iron-scavenging and transport systems and by many genes whose expression is tightly regulated by iron availability. We have taken a global approach to gene expression analysis of Salmonella enterica serovar Typhimurium in response to iron by combining efficient, high-throughput methods with sensitive, luminescent reporting of gene expression using a random promoter library. Real-time expression profiles of the library were generated under low- and high-iron conditions to identify iron-regulated promoters, including a number of previously identified genes. Our results indicate that approximately 7% of the genome may be regulated directly or indirectly by iron. Further analysis of these clones using a Fur titration assay revealed three separate classes of genes; two of these classes consist of Fur-regulated genes. A third class was Fur independent and included both negatively and positively iron-responsive genes. These may reflect new iron-dependent regulons. Iron-responsive genes included iron transporters, iron storage and mobility proteins, iron-containing proteins (redox proteins, oxidoreductases, and cytochromes), transcriptional regulators, and the energy transducer tonB. By identifying a wide variety of iron-responsive genes, we extend our understanding of the global effect of iron availability on gene expression in the bacterial cell.

Bacterial Proteins↗
PubMed2026

Integrative Genomic Profiling of Newly Diagnosed Prostate Cancers Progressing on Surveillance.

OBJECTIVE: To identify molecular features associated with earlier progression to definitive therapy amongst patients with localized prostate cancer (PCa) managed on active surveillance (AS). METHODS: We performed a retrospective pilot study of 7 patients with low- to intermediate-risk PCa undergoing serial multiparametric MRI (mpMRI)-targeted biopsies of the same lesion while on AS, who all proceeded to definitive therapy. Time-to-treatment (TTT) was defined as years from first biopsy on AS to definitive therapy. Laser-capture microdissection was used to separate tumor epithelium, benign glands, high-grade prostatic intraepithelial neoplasia, and stroma in each biopsy specimen. DNA from the tumor and matched benign tissue underwent whole-exome sequencing, and RNA from all compartments underwent whole-transcriptome sequencing. Somatic mutations and copy-number alterations were compared across serial biopsies and used to reconstruct phylogenies and quantify clonal complexity. RESULTS: Tumors exhibited substantial intratumoral heterogeneity, and in 3 of 6 paired cases, serial mpMRI-targeted biopsies showed discordant somatic profiles consistent with sampling distinct major clones over time. By contrast, no single gene-level alteration, and few large-scale chromosomal events, were associated with TTT. High clonal complexity, defined as &#x2265;3 subclones, was associated with significantly shorter TTT than low complexity (median 1.9 vs 7.2 years; P&#x202f;=&#x202f;.0082). Exploratory pathway analyses of individual tissue components suggested TTT-associated differences in inflammatory signaling and stromal-epithelial cross-talk. CONCLUSION: In this small, hypothesis-generating cohort, clonal complexity was more closely associated with earlier definitive therapy than individual genomic alterations. Larger prospective studies are needed to validate whether multiomic measures of clonal architecture can improve AS risk stratification.

Humans↗
PubMed2005

Genomic profiling maps loss of heterozygosity and defines the timing and stage dependence of epigenetic and genetic events in Wilms' tumors.

To understand genetic and epigenetic pathways in Wilms' tumors, we carried out a genome scan for loss of heterozygosity (LOH) using Affymetrix 10K single nucleotide polymorphism (SNP) chips and supplemented the data with karyotype information. To score loss of imprinting (LOI) of the IGF2 gene, we assessed DNA methylation of the H19 5' differentially methylated region (DMR). Few chromosomal regions other than band 11p13 (WT1) were lost in Wilms' tumors from Denys-Drash and Wilms' tumor-aniridia syndromes, whereas sporadic Wilms' tumors showed LOH of several regions, most frequently 11p15 but also 1p, 4q, 7p, 11q, 14q, 16q, and 17p. LOI was common in the sporadic Wilms' tumors but absent in the syndromic cases. The SNP chips identified novel centers of LOH in the sporadic tumors, including a 2.4-Mb minimal region on chromosome 4q24-q25. Losses of chromosomes 1p, 14q, 16q, and 17p were more common in tumors presenting at an advanced stage; 11p15 LOH was seen at all stages, whereas LOI was associated with early-stage presentation. Wilms' tumors with LOI often completely lacked LOH in the genome-wide analysis, and in some tumors with concomitant 16q LOH and LOI, the loss of chromosome 16q was mosaic, whereas the H19 DMR methylation was complete. These findings confirm molecular differences between sporadic and syndromic Wilms' tumors, define regions of recurrent LOH, and indicate that gain of methylation at the H19 DMR is an early event in Wilms' tumorigenesis that is independent of chromosomal losses. The data further suggest a biological difference between sporadic Wilms' tumors with and without LOI.

Blotting, Northern↗
PubMed2002

Genome profiles of familial/bilateral and sporadic testicular germ cell tumors.

In order to investigate the genetics of testicular germ cell tumors (TGCTs), we examined 33 TGCTs, including 15 familial/bilateral and 18 sporadic tumors, using comparative genomic hybridization. The frequencies of the histological subtypes were comparable between the two groups. Gains of the whole or parts of chromosome 12 were found in 30 tumors (91%). Furthermore, increased copy number of the whole or parts of chromosomes 7, 8, 17, and X, and decreased copy number of the whole or parts of chromosomes 4, 11, 13, and 18 were observed in > or = 50% of the tumors. Sixteen smallest regions of overlapping changes were delineated on 12 different chromosomes. The chromosomal copy numbers of familial/bilateral and sporadic TGCTs were comparable, suggesting similar genetic pathways to disease in both groups. However, significant differences were observed between the two main histological subgroups. Gains from 15q and 22q were associated with seminomas (P = 0.005 and P = 0.02, respectively), whereas gain of the proximal 17q (17q11.2-21) and high-level amplification from chromosome arm 12p, and losses from 10q were associated with nonseminomas (P < 0.001, P = 0.04, and P = 0.03, respectively).

Adult↗
PubMed2003

Characterization of pDJA1, a cardiac-specific chaperone found by genomic profiling of the post-ischemic swine heart.

BACKGROUND: Previously, we showed by subtractive hybridization in a swine model of ischemia/reperfusion that an upregulation of genes participating in mechanisms of cell survival is a potential genomic mechanism to tilt the balance from necrosis to functional reversibility. METHODS AND RESULTS: We present here the full-length sequencing and characterization of a novel gene that was found in this subtraction, encoding a cardiac-specific DnaJ-like co-chaperone that we call Pig DnaJ-like protein A1 (pDJA1). The expression of pDJA1 was found to be restricted to the heart, as opposed to skeletal muscle, liver, lung, kidney, aorta, stomach and spleen. Expression of pDJA1 is restricted to cardiac myocytes, as determined by in situ hybridization. The transcript is expressed more in the left ventricle than in the other cardiac chambers. Remarkably, expression of pDJA1 follows a transmural gradient in the left ventricle, with the highest level of expression in the subendocardium. Expression of pDJA1 slightly increased during an episode of ischemia, but increased by 4-fold during the following period of reperfusion. Adenovirus-mediated transduction of pDJA1 in isolated rat neonatal cardiac myocytes decreased by 65% the rate of apoptosis induced by staurosporine. CONCLUSION: Therefore, pDJA1 is a novel heart-specific, ventricle-enriched cardioprotective co-chaperone, which participates in the program of cell survival that limits irreversible damage in post-ischemic myocardium.

Adenoviridae↗
PubMedDate not supplied

Comparison of genomic profiles of Escherichia coli isolates from urinary tract infections.

Formally included in the larger category of extraintestinal pathogenic Escherichia coli (ExPEC), the uropathogenic E. coli remains the most frequent cause of urinary tract infection (UTI), an important endemic health problem. The genomic DNA of E. coli urinary isolates from adults diagnosed with urinary tract infections and of E. coli fecal isolates from healthy subjects was analysed by PCR for the presence of virulence factor encoding genes pap, sfa/foc, afa, hly and cnf and by field inversion gel electrophoresis (FIGE) fingerprinting of XbaI DNA macrorestriction fragments. The aim was to obtain more detailed microbiological data regarding the community circulating strains in respect of their virulence potential and genetic relatedness. Almost 70% of the urinary strains carried at least one of the target virulence genes, and only 35.5% of the fecal E. coli strains were positive in the PCR screening. Taking into account the virulence genotypes exhibited, a part of the strains isolated from the urinary tract could be defined as belonging to the ExPEC pathotype. A unique FIGE profile was obtained for each of the selected isolates and the dendrogram generated by Taxotron software package analysis suggested a polyclonal population of potential uropathogenic strains clustered into 14 groups of only 60% similarity. For better understanding the epidemiology of UTIs, diseases commonly caused by such a heterogeneous species like E. coli, molecular analysis methods could be essential due to their increased power of identification and fingerprinting.

Adult↗
PubMed2003

High-resolution genomic profiling of occult micrometastatic tumor cells.

Metastasis is responsible for most deaths from cancer. Currently, little is known about the early genetic events in the metastatic evolution. Here we describe the application of a newly developed strategy for an in-depth characterization of genomic changes in micrometastatic cells. Unique tumor cell lines were established from bone marrow of patients with cancer of the prostate and analyzed by multiplex-FISH (M-FISH) and array CGH. M-FISH revealed that the occult disseminated cells were characterized by very complex numerical and structural aberrations. Many of these aberrations resulted in chromosomal gains and losses, such as losses of 8p, 13q, and 18q and gains of 8q, 9q, 20, and the X chromosome, which are typically observed in prostate cancer. Array CGH allowed an unprecedented high-resolution assessment of copy number changes, pinpointing commonly gained or lost regions, which should narrow down the identification of regions critically involved in metastasis. Thus, occult micrometastatic cells are now amenable to detailed analyses of their genome. Markers for prognosis and treatment decisions can now be established.

Bone Marrow Cells↗
PubMed1999

DNA microarrays of the complex human cytomegalovirus genome: profiling kinetic class with drug sensitivity of viral gene expression.

We describe, for the first time, the generation of a viral DNA chip for simultaneous expression measurements of nearly all known open reading frames (ORFs) in the largest member of the herpesvirus family, human cytomegalovirus (HCMV). In this study, an HCMV chip was fabricated and used to characterize the temporal class of viral gene expression. The viral chip is composed of microarrays of viral DNA prepared by robotic deposition of oligonucleotides on glass for ORFs in the HCMV genome. Viral gene expression was monitored by hybridization to the oligonucleotide microarrays with fluorescently labelled cDNAs prepared from mock-infected or infected human foreskin fibroblast cells. By using cycloheximide and ganciclovir to block de novo viral protein synthesis and viral DNA replication, respectively, the kinetic classes of array elements were classified. The expression profiles of known ORFs and many previously uncharacterized ORFs provided a temporal map of immediate-early (alpha), early (beta), early-late (gamma1), and late (gamma2) genes in the entire genome of HCMV. Sequence compositional analysis of the 5' noncoding DNA sequences of the temporal classes, performed by using algorithms that automatically search for defined and recurring motifs in unaligned sequences, indicated the presence of potential regulatory motifs for beta, gamma1, and gamma2 genes. In summary, these fabricated microarrays of viral DNA allow rapid and parallel analysis of gene expression at the whole viral genome level. The viral chip approach coupled with global biochemical and genetic strategies should greatly speed the functional analysis of established as well as newly discovered large viral genomes.

Base Sequence↗