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At least 199 records · Page 11Linked to original sources
PubMed2003

Genomics and proteomics in cancer.

Cancer development is driven by the accumulation of DNA changes in the approximately 40000 chromosomal genes. In solid tumours, chromosomal numerical/structural aberrations are common. DNA repair defects may lead to genome-wide genetic instability, which can drive further cancer progression. The genes code the actual players in the cellular processes, the 100000-10 million proteins, which in (pre)malignant cells can also be altered in a variety of ways. Over the past decade, our knowledge of the human genome and Genomics (the study of the human genome) in (pre)malignancies has increased enormously and Proteomics (the analysis of the protein complement of the genome) has taken off as well. Both will play an increasingly important role. In this article, a short description of the essential molecular biological cell processes is given. Important genomic and proteomic research methods are described and illustrated. Applications are still limited, but the evidence so far is exciting. Will genomics replace classical diagnostic or prognostic procedures? In breast cancers, the gene expression array is stronger than classical criteria, but in endometrial hyperplasia, quantitative morphological features are more cost-effective than genetic testing. It is still too early to make strong statements, the more so because it is expected that genomics and proteomics will expand rapidly. However, it is likely that they will take a central place in the understanding, diagnosis, monitoring and treatment of (pre)cancers of many different sites.

Cell Transformation, Neoplastic↗
PubMed2026

Role of IFIT1 and IFIT3 in systemic lupus erythematosus: modeling a diagnosis and exploring immune regulation.

Systemic lupus erythematosus (SLE) is a complex autoimmune disorder characterized by multi-organ involvement and a protracted clinical course. Current diagnostic strategies, which rely heavily on clinical symptoms and serology, are often insufficient for early detection. Therefore, highly accurate diagnostic biomarkers are urgently needed to facilitate early intervention and optimize personalized treatment strategies. D atasets GSE61635 and GSE135779 were integrated to identify differentially expressed genes. Weighted gene co-expression network analysis (WGCNA) was performed to isolate the module with the strongest clinical relevance. Mendelian randomization and single‑cell RNA‑seq were used to identify key disease‑relevant genes. A diagnostic model was then constructed, and gene set variation analysis (GSVA), along with gene set enrichment analysis (GSEA), was conducted to elucidate the underlying molecular pathways. IFIT1 and IFIT3 were identified as 2 core genes highly expressed in monocytes and T cells of SLE patients. Functional enrichment analysis revealed that these genes were enriched in immune-related pathways, metabolic pathways related to inflammation and genomic stability. The diagnostic model showed good accuracy, with an area under the curve (AUC) of 0.974 on the training set and 0.912 on the validation set. IFIT1 and IFIT3 represent promising biomarkers for diagnosing SLE and appear to mediate key immune and metabolic disturbances. Furthermore, the developed model serves as an accurate and reliable instrument for early diagnosis and personalized therapy. Large-scale clinical studies are warranted to further validate these findings and evaluate their clinical application.

Humans↗
PubMed1992

Identification of new markers in Xp21 between DXS28 (C7) and DMD.

Characterization of Xp21 distal to Duchenne muscular dystrophy (DMD) in the region containing the genes for adrenal hypoplasia congenita (AHC) and glycerol kinase deficiency (GKD) has been limited due to a paucity of probes. Two probes were localized between DXS28 (C7) and AHC, the yeast artificial chromosome insert YHX39 (DXS727) and the polymorphic phage clone QST59 (DXS319). A genomic clone, FT1 (DXS726), 3' to DMD, was also characterized. Portions of the three probes were sequenced and primer pairs were generated to amplify a sequence-tagged site within each probe. Amplification of DNA from patients confirmed the deletion results obtained by Southern blot analysis, and these three sequence-tagged sites were successfully combined for triplex PCR. In addition to facilitating molecular genetic diagnosis in Xp21, these probes can be used to identify additional YACs and other probes to further increase the genomic information and diagnostic capabilities in this region.

Base Sequence↗
PubMed2006

Genomic microarrays in clinical diagnosis.

PURPOSE OF REVIEW: Cytogenetic analysis has for a long time relied on chromosome banding by karyotyping for whole-genome analysis of structural and numerical chromosomal anomalies. Conceptual and technical developments in molecular cytogenetics are rapidly changing the way the human genome is being analyzed by enhancing the resolving power from the megabase to the kilobase level. This review describes the various genomic microarray approaches that have been developed for molecular cytogenetic purposes and their implementation in a routine clinical diagnostic setting. RECENT FINDINGS: Genomic microarray approaches such as array-based comparative genomic hybridization have recently been shown to identify causative submicroscopic copy number alterations in a significant proportion of patients with mental retardation. These alterations occur throughout the human genome and the majority of these alterations reported thus far are unique. Next to these causative alterations, a large number of inherited submicroscopic copy number variations without immediate clinical consequences have been detected by these methods. SUMMARY: Genome profiling by genomic microarrays is becoming an important diagnostic tool, either in addition to or replacing conventional chromosome banding, depending on the expected diagnostic yield and the costs involved.

Child, Preschool↗
PubMed2004

Retroposon mapping in molecular systematics.

Advances in genome sciences are demonstrating the dynamic nature of noncoding DNA regions, which are comprised largely of repetitive elements with no apparent function. Retroposons are one class of mobile genetic elements that amplify and move about the genome via a copy-and-paste mechanism that employs an RNA intermediate. Short and long interspersed elements (SINEs and LINEs, respectively) are types of retroposons of particular interest because of their active role in shaping the architecture of genomes and their diagnostic value as evolutionary markers for studies of phylogeny and population biology. Although the use of SINEs and LINEs for molecular systematic studies is proliferating, a comprehensive laboratory protocol that explicitly outlines how to isolate and characterize retroposons for systematic studies in a detailed, step-by-step fashion has been lacking. The present chapter addresses this gap in the literature by focusing on the strategy for isolating new SINEs from a genomic library, the screening process, the sequencing and characterization of clones into subfamilies, quantification of copy number in host taxa, and the critical diagnosis of phylogenetically informative SINE and LINE insertion patterns. Practical limits to the method are discussed in relation to sampling design, systematic character theory, and the empirical distribution of elements observed in eukaryotic lineages. Major steps in the experimental process are illustrated with case examples from a diversity of taxonomic groups and by published results in the molecular biology and systematics literature.

Animals↗
PubMed2006

Detection of small genomic imbalances using microarray-based multiplex amplifiable probe hybridization.

Array-based genome-wide screening methods were recently introduced to clinical practice in order to detect small genomic imbalances that may cause severe genetic disorders. The continuous advancement of such methods plays an extremely important role in diagnostic genetics and medical genomics. We have modified and adapted the original multiplex amplifiable probe hybridization (MAPH) to a novel microarray format providing an important new diagnostic tool for detection of small size copy-number changes in any locus of human genome. Here, we describe the new array-MAPH diagnostic method and show proof of concept through fabrication, interrogation and validation of a human chromosome X-specific array. We have developed new bioinformatic tools and methodology for designing and producing amplifiable hybridization probes (200-600 bp) for array-MAPH. We designed 558 chromosome X-specific probes with median spacing 238 kb and 107 autosomal probes, which were spotted onto microarrays. DNA samples from normal individuals and patients with known and unknown chromosome X aberrations were analyzed for validation. Array-MAPH detected exactly the same deletions and duplications in blind studies, as well as other unknown small size deletions showing its accuracy and sensitivity. All results were confirmed by fluorescence in situ hybridization and probe-specific PCR. Array-MAPH is a new microarray-based diagnostic tool for the detection of small-scale copy-number changes in complex genomes, which may be useful for genotype-phenotype correlations, identification of new genes, studying genetic variation and provision of genetic services.

Chromosome Aberrations↗
PubMed2026

Molecular mechanisms underlying drug resistance in protozoan parasites: emerging mechanisms and therapeutic perspectives.

Protozoan parasitic infections, including malaria, leishmaniasis, and human African trypanosomiasis, remain major global public health challenges. In the absence of highly effective vaccines, disease control relies primarily on chemotherapy; however, the emergence and spread of drug-resistant parasite populations increasingly threaten treatment efficacy. This review synthesizes current evidence on the molecular mechanisms underlying drug resistance in Plasmodium, Leishmania, and Trypanosoma species through a systematic analysis of literature. The review identifies four interconnected mechanisms that drive the evolution of drug resistance. First, altered drug transport enables parasites to regulate intracellular drug concentrations through mutations, loss, or amplification of membrane transporters, including PfCRT in Plasmodium and AQP2 in Trypanosoma brucei. Second, target modification and genomic plasticity promote resistance through point mutations in drug targets, such as dhfr and dhps in Plasmodium, while kinetoplastids, particularly Leishmania, exploit extensive genomic plasticity, including aneuploidy, gene amplification, and translational reprogramming, to facilitate rapid adaptation under drug pressure. Third, metabolic reprogramming enhances parasite survival by increasing intracellular thiol production, strengthening antioxidant defense systems, and reshaping central carbon and lipid metabolism to mitigate drug-induced stress. Finally, stress response and persistence mechanisms enable subpopulations of parasites to enter dormant, persister-like states characterized by reduced metabolic activity and slowed proliferation, thereby evading both host immune responses and chemotherapeutic agents. Collectively, these findings demonstrate that drug resistance is a dynamic, multifactorial evolutionary process rather than a single molecular event. Addressing this growing challenge requires integrating genomic surveillance, molecular diagnostics, mathematical modeling of resistance transmission, and mechanistic insights into parasite persistence into future drug discovery and disease control strategies. Such an integrated approach is essential for improving the durability of antiprotozoal therapies and advancing global efforts to control neglected protozoan diseases.

antiprotozoal therapy↗
PubMed2024

Deep-Learning Model for Tumor-Type Prediction Using Targeted Clinical Genomic Sequencing Data.

UNLABELLED: Tumor type guides clinical treatment decisions in cancer, but histology-based diagnosis remains challenging. Genomic alterations are highly diagnostic of tumor type, and tumor-type classifiers trained on genomic features have been explored, but the most accurate methods are not clinically feasible, relying on features derived from whole-genome sequencing (WGS), or predicting across limited cancer types. We use genomic features from a data set of 39,787 solid tumors sequenced using a clinically targeted cancer gene panel to develop Genome-Derived-Diagnosis Ensemble (GDD-ENS): a hyperparameter ensemble for classifying tumor type using deep neural networks. GDD-ENS achieves 93% accuracy for high-confidence predictions across 38 cancer types, rivaling the performance of WGS-based methods. GDD-ENS can also guide diagnoses of rare type and cancers of unknown primary and incorporate patient-specific clinical information for improved predictions. Overall, integrating GDD-ENS into prospective clinical sequencing workflows could provide clinically relevant tumor-type predictions to guide treatment decisions in real time. SIGNIFICANCE: We describe a highly accurate tumor-type prediction model, designed specifically for clinical implementation. Our model relies only on widely used cancer gene panel sequencing data, predicts across 38 distinct cancer types, and supports integration of patient-specific nongenomic information for enhanced decision support in challenging diagnostic situations. See related commentary by Garg, p. 906. This article is featured in Selected Articles from This Issue, p. 897.

Humans↗
PubMed2004

Molecular profiling of primary and metastatic neoplasms in the lung using cytologic material obtained by fine-needle aspiration: report of two cases.

Two cases are presented in which molecular analyses of cytologic material obtained by fine-needle aspiration were helpful in establishing relationships between morphologically similar neoplasms in the same patient. For appropriate clinical management, it is important to ascertain whether the tumors represent independent primaries or metastases. Alcohol-fixed cytologic material prepared as cell blocks and formalin-fixed paraffin-embedded tissue were microdissected and analyzed for allelic loss of heterozygosity at multiple preselected genetic loci. The first case illustrates a 69-yr-old man with multiple intrapulmonary nodules involving the upper and lower lobes of the left lung. Genomic analysis showed that the neoplasms in the left upper and lower lung lobes were independent primaries, because the loss of heterozygosity (LOH) patterns were substantially different. By contrast, the second case is that of a 58-yr-old man with a right thyroid nodule and multiple pulmonary tumors. LOH analysis confirmed that a sampled pulmonary tumor represented a metastasis from the thyroid primary, as similar LOH patterns involving locus D9S252 were observed on comparison of the thyroid and pulmonary neoplasms. These cases illustrate the practical diagnostic utility of genomic analysis using cytologic material in the assessment of primary and metastatic malignancies.

Aged↗
PubMed2025

Advancing the fight against tuberculosis: integrating innovation and public health in diagnosis, treatment, vaccine development, and implementation science.

Tuberculosis (TB) remains one of the leading causes of infectious disease mortality worldwide, increasingly complicated by the emergence of drug-resistant strains and limitations in existing diagnostic and therapeutic strategies. Despite decades of global efforts, the disease continues to impose a significant burden, particularly in low- and middle-income countries (LMICs) where health system weaknesses hinder progress. This comprehensive review explores recent advancements in TB diagnostics, antimicrobial resistance (AMR surveillance), treatment strategies, and vaccine development. It critically evaluates cutting-edge technologies including CRISPR-based diagnostics, whole-genome sequencing, and digital adherence tools, alongside therapeutic innovations such as shorter multidrug-resistant TB regimens and host-directed therapies. Special emphasis is placed on the translational gap-highlighting barriers to real-world implementation such as cost, infrastructure, and policy fragmentation. While innovations like the Xpert MTB/RIF Ultra, BPaLM regimen, and next-generation vaccines such as M72/AS01E represent pivotal progress, their deployment remains uneven. Implementation science, cost-effectiveness analyses, and health equity considerations are vital to scaling up these tools. Moreover, the expansion of the TB vaccine pipeline and integration of AI in diagnostics signal a transformative period in TB control. Eliminating TB demands more than biomedical breakthroughs-it requires a unified strategy that aligns innovation with access, equity, and sustainability. By bridging science with implementation, and integrating diagnostics, treatment, and prevention within robust health systems, the global community can accelerate the path toward ending TB.

diagnostic innovation↗
PubMed1998

Abundant mitochondrial genome diversity, population differentiation and convergent evolution in pines.

We examined mitochondrial DNA polymorphisms via the analysis of restriction fragment length polymorphisms in three closely related species of pines from western North America: knobcone (Pinus attenuata Lemm.), Monterey (P. radiata D. Don), and bishop (P. muricata D. Don). A total of 343 trees derived from 13 populations were analyzed using 13 homologous mitochondrial gene probes amplified from three species by polymerase chain reaction. Twenty-eight distinct mitochondrial DNA haplotypes were detected and no common haplotypes were found among the species. All three species showed limited variability within populations, but strong differentiation among populations. Based on haplotype frequencies, genetic diversity within populations (HS) averaged 0.22, and population differentiation (GST and theta) exceeded 0.78. Analysis of molecular variance also revealed that >90% of the variation resided among populations. For the purposes of genetic conservation and breeding programs, species and populations could be readily distinguished by unique haplotypes, often using the combination of only a few probes. Neighbor-joining phenograms, however, strongly disagreed with those based on allozymes, chloroplast DNA, and morphological traits. Thus, despite its diagnostic haplotypes, the genome appears to evolve via the rearrangement of multiple, convergent subgenomic domains.

DNA, Mitochondrial↗
PubMed1998

Imprinting in Angelman and Prader-Willi syndromes.

Prader-Willi syndrome (PWS) and Angelman syndrome (AS) are caused by deficiencies of gene expression from paternal or maternal chromosome 15q11-q13, respectively. Many advances have occurred during the past year. The gene for necdin was mapped in the PWS candidate region and found to be paternally expressed in mouse and human. The bisulfite method for analysis of methylation was established for genomic sequencing and diagnostics, and the methylation of Snrpn was studied in detail in the mouse. A region near the Snrpn promoter was shown to function as a silencer in Drosophila. Point mutations were found in the gene for E6-AP ubiquitin-protein ligase (UBE3A) identifying it as the AS gene, and tissue-specific imprinting (maternal expression) was shown in the human brain and in hippocampal neurons and Purkinje cells in the mouse.

Angelman Syndrome↗
PubMed2002

Integration of molecular diagnostics with therapeutics: implications for drug discovery and patient care.

The Introduction of targeted therapeutics into clinical practice has created major opportunities for further development of the molecular diagnostics industry. Emerging genomic and proteomic technologies and information are now resulting in the molecular subclassification of disease as the basis for diagnosis, prognosis and therapeutic selection. The ultimate goals of personalized medicine are to take advantage of a molecular understanding of disease, both to optimize drug development and direct preventive resources and therapeutic agents at the right population of people while they are still well. Single nucleotide polymorphisms identification and genotyping have uncovered predisposition markers from cancer and heart disease as well in the prediction of both drug efficacy and toxicity. Pharmacogenomic and pharmacodynamic assays are being developed to enhance the speed and decrease the cost of drug development, as well as reduce side effects and increase response rates in a variety of diseases. The traditional trial and error practice of medicine is progressively eroding in favor of more precise marker-assisted diagnosis and safer and more effective molecularly guided treatment of disease. For the diagnostics industry this represents an unprecedented opportunity for integration, increased value and commercial opportunities for molecularly-derived tests.

Biotransformation↗
PubMed2006

Genomic characterization of five deletions in the LDL receptor gene in Danish Familial Hypercholesterolemic subjects.

BACKGROUND: Familial Hypercholesterolemia is a common autosomal dominantly inherited disease that is most frequently caused by mutations in the gene encoding the receptor for low density lipoproteins (LDLR). Deletions and other major structural rearrangements of the LDLR gene account for approximately 5% of the mutations in many populations. METHODS: Five genomic deletions in the LDLR gene were characterized by amplification of mutated alleles and sequencing to identify genomic breakpoints. A diagnostic assay based on duplex PCR for the exon 7-8 deletion was developed to discriminate between heterozygotes and normals, and bioinformatic analyses were used to identify interspersed repeats flanking the deletions. RESULTS: In one case 15 bp had been inserted at the site of the deleted DNA, and, in all five cases, Alu elements flanked the sites where deletions had occurred. An assay developed to discriminate the wildtype and the deletion allele in a simple duplex PCR detected three FH patients as heterozygotes, and two individuals with normal lipid values were detected as normal homozygotes. CONCLUSION: The identification of the breakpoints should make it possible to develop specific tests for these mutations, and the data provide further evidence for the role of Alu repeats in intragenic deletions.

Alu Elements↗
PubMed2006

A public health approach to pharmacogenomics and gene-based diagnostic tests.

While the human genome project is likely to lead to fundamental changes in our understanding of disease causation and our ability to screen for disease predisposition and treatment responsiveness, the current healthcare system is not properly aligned to ensure the proper use of these advances. As the pace of genetic technology development increases and new pharmacogenetic drugs and gene-based diagnostic tests increasingly impact providers, patients, health plans, payers and employers, it will be crucial to develop an evidence-based framework by which to evaluate these new tests and treatments. In order to increase the level of evidence available and allow for informed decisions in the face of strong marketing and advocacy forces, the authors suggest the development of one (or more) large clinical networks with the purpose of systematically evaluating the clinical effectiveness of new genomic applications, including pharmaceuticals and gene-based diagnostic tests, in 'real world' settings.

Evidence-Based Medicine↗
PubMed2025

TRIM63 Overexpression in FISH-Negative MiTF Family Altered Renal Cell Carcinoma (MiTF RCC).

TFE3 and TFEB break-apart fluorescent in situ hybridization (FISH) assays are the "gold standard" for diagnostic confirmation of microphthalmia-associated transcription factor (MiTF) family-altered renal cell carcinoma (MiTF RCC), which includes TFE3-rearranged RCC and TFEB-altered RCC. However, FISH assays, for multiple reasons, may lead to equivocal or false-negative results, especially in cryptic fusions resulting from intrachromosomal inversions involving 5' partner genes, such as non-POU domain-containing octamer-binding protein (NONO); GRIPI-associated protein 1 (GRIPAP1); RNA-binding motif protein, X chromosome (RBMX); and RNA-binding motif protein 10 (RBM10). When FISH results are negative in cases with strong morphological suspicion of the listed tumor entities, pathologists may recommend targeted RT-PCR or panel-based RNA fusion sequencing for diagnostic confirmation. Our recent RNA in situ hybridization (RNA ISH)-based study demonstrated RNA expression of the tripartite motif containing 63 (TRIM63) to be highly enriched in TFE3-rearranged RCC and TFEB-altered RCC, including 2 FISH false-negative RCC cases harboring RBM10::TFE3 fusion. Based on these observations, we hypothesized that TRIM63 positivity could aid in diagnosing cases that are negative by conventional FISH assay but remain morphologically suspicious, representing an unmet clinical need in this area. We collected 20 RCC cases with morphological suspicion (with equivocal/indeterminate immunohistochemistry panel) of MiTF RCC, which were TRIM63 positive, negative/equivocal for TFE3/TFEB gene rearrangement by FISH, and underwent next-generation sequencing (NGS). On NGS correlation, 14 of 20 (70%) FISH-negative TRIM63-positive tumors harbored an MiTF gene rearrangement. In the remaining 6 cases, we were unable to fully ascertain the MiTF rearrangement status due to the inherent limitation of the NGS panel utilized. The cases with MiTF gene rearrangement include TFE3 rearrangement in 60% (12/20) and TFEB low-level copy gains (with an additional missense mutation in 1 case) in 10% (2/20) of samples. RBM10:TFE3 fusion was seen in 67% (8/12) of TFE3-rearranged RCC in this cohort. TRIM63 RNA ISH assay could aid in identifying cases that harbor TFE3 or TFEB rearrangement associated with false-negative or equivocal TFE3/TFEB FISH results, especially those involving gene fusions with a paracentric Xp11 inversion. Overall, employment of TRIM63 RNA ISH coupled with TFE3/TFEB FISH assays and follow-up genomic interrogation enhanced diagnostic accuracy for patients with MiTF RCC.

Carcinoma, Renal Cell↗
PubMed2000

The role of fluorescence in situ hybridization technologies in molecular diagnostics and disease management.

Large genomic changes, such as aneuploidy, deletions, and other chromosomal rearrangements, have long been associated with pregnancy loss, congenital abnormalities, and malignancy. These genomic changes are quantitative, unambiguous, and fundamental in the transition of normal cells to abnormal ones. Detection of these large genetic changes has an increasingly important role in determining patient diagnosis and care, including therapeutic selection. We have developed two major product platforms that assess genomic changes at various levels of resolution. Fluorescence in situ hybridization (FISH) techniques and the related technology of array-based comparative genomic hybridization (CGH) allow detection of genesized or larger alterations in the genome. FISH is a robust DNA probe technology that can measure both balanced and unbalanced genomic changes on a cell-by-cell basis. In most instances, it is not dependent on metaphase chromosomes, and it is widely used in clinical diagnostics. Array-based CGH has much greater multiplexing capabilities than FISH. This technology has the potential to examine many regions of the genome simultaneously for changes in DNA copy number and identify complex patterns of gains and losses within the genome. In this article, we review several of the current medical applications of FISH and discuss such advanced techniques as CGH and array-based CGH.

Databases, Factual↗
PubMed1993

Enhanced detection of polymorphic DNA by multiple arbitrary amplicon profiling of endonuclease-digested DNA: identification of markers tightly linked to the supernodulation locus in soybean.

Multiple endonuclease digestion of template DNA or amplification products can increase significantly the detection of polymorphic DNA in fingerprints generated by multiple arbitrary amplicon profiling (MAAP). This coupling of endonuclease cleavage and amplification of arbitrary stretches of DNA, directed by short oligonucleotide primers, readily allowed distinction of closely related fungal and bacterial isolates and plant cultivars. MAAP analysis of cleaved template DNA enabled the identification of molecular markers linked to a developmental locus of soybean (Glycine max L. Merrill). Ethyl methane sulfonate (EMS)-induced supernodulating, near-isogenic lines altered in the nts locus, which controls nodule formation, could be distinguished from each other and from the parent cultivar by amplification of template pre-digested with 2-3 restriction enzymes. A total of 42 DNA polymorphisms were detected using only 19 octamer primers. In the absence of digestion, 25 primers failed to differentiate these soybean genotypes. Several polymorphic products co-segregated tightly with the nts locus in F2 families from crosses between the allelic mutants nts382 and nts1007 and the ancestral G. soja Sieb. & Succ. PI468.397. Our results suggest that EMS is capable of inducing extensive DNA alterations, probably around discrete mutational hot-spots. EMS-induced DNA polymorphisms may constitute sequence-tagged markers diagnostic of specific genomic regions.

DNA↗