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Nov 2025 DOI 10.14302/issn.2326-0793.jpgr-25-5573
E. Imiruaye OghenetegaCorresponding author
Advancements in proteomic and genomic technologies have transformed molecular biology by enabling comprehensive analysis of biological systems at the molecular level. This literature review explores the evolution, methodologies, and practical applications of key proteomic and genomic techniques. In proteomics, tools such as two-dimensional electrophoresis, mass spectrometry, Western blotting, Edman degradation, and functional protein microarrays have facilitated high-throughput protein identification, post-translational modification analysis, and biomarker discovery. Similarly, genomic methodologies like PCR, recombinant DNA technology, gel electrophoresis, and Southern blotting have revolutionized gene detection, manipulation, and expression profiling. The review also highlights the interdisciplinary impact of these technologies across clinical diagnostics, oncology, autoimmune disorders, infectious disease surveillance, cardiovascular research, and personalized nutrition. Integrative approaches combining proteomics and genomics are enabling the discovery of novel therapeutic targets, improving disease classification, and advancing precision medicine. Despite current limitations, such as the absence of amplification techniques for proteins and challenges in data interpretation, ongoing innovations promise to bridge these gaps. This synthesis underscores the pivotal role of molecular techniques in deepening our understanding of human biology and accelerating biomedical advancements for improved healthcare outcomes.
Jan 2024 DOI 10.14302/issn.2574-4496.jtc-23-4835
Hussein Saleh Hussein AbbasCorresponding author
The prevalence of thyroid cancer is rapidly increasing worldwide, majorly due to overdiagnosis and overtreatment methods of differentiated thyroid cancer. The emergent and potent preclinical models, high-throughput molecular techniques, and genetic expression microarrays have delivered deeper insights into understanding the molecular features in oncogenesis. Thus, molecular markers have become a promising tool in managing thyroid cancer for differentiating benign and malignant tumors, prognosis, recurrence, and determination of novel therapeutic targets. In differentiated thyroid cancer, molecular markers are majorly utilized for guiding the development of indeterminate thyroid nodules on fine needle aspiration (FNA) histologies. Dissimilar to this, in advanced thyroid cancer, molecular markers permit targeted treatment of a modified signaling cascade. Determining causal mutation of targeted kinase receptors in advanced thyroid cancer can depict a promising treatment strategy with mutation-targeted tyrosine kinase inhibitors to reduce progression and eradicate mutation effects when conventional methods fail to manage. This review will focus on the molecular landscape and discuss the impact of molecular markers on the prognosis, treatment, and surveillance of differentiated and anaplastic thyroid cancer.
Feb 2019 DOI 10.14302/issn.2471-7061.jcrc-18-2526
E. Ahmed FaridCorresponding author
GEM Tox Labs, Institute for Research in Biotechnology, 2905 South Memorial Drive, Greenville, NC 27834, USA.
There is currently no validated micro(mi)RNA diagnostic stool test to screen for colon cancer (CC) on the market because of the complexity of fecal density, vulnerability of stool to daily changes, and the presence of three sources of miRNAs in stool (cell-free from fecal homogenates, exsosomal miRNAs from fecal exosomes, and fecal colonocytes). To address these complexities, we have first carried out a microarray miRNA experiment, using Affymetrix GeneChip miRNA 2.0 Arrays, on immunocaptured and enriched stool colonocytes of 15 subjects (three healthy controls and twelve colon cancer patients [three TNM stage 0-1 (e.g., polyps◻ ³ 1 cm, villous or tubvillous, or with high grade dysplasia), three stage 2, three stage 3, and three stage 4 in triplicates to select a smaller panel of 14 preferentially expressed mature miRNAs associated with colon cancer (12 Up-Regulated, miR-19a, miR-20a, miR-21, miR-31, miR-34a, miR-96, miR-106a, miR-133a, miR-135b, miR-206, miR-224 and miR-302; and 2 Down-Regulated, miR-143 and miR-145). In a subsequent validation study carried out on total small RNA extracted by immunocapture, followed by RT that employed TaqMan® miRNA Reverse Transcription (RT) Kit and a Custom TaqMan RT Primer Pool, absolute quantification of miRNAs, in copies/µl, was measured using a chip-based Absolute QuantStudio 3D Digital PCR analysis. To ensure that we have chosen human and not bacterial small total RNA, we have carried out coextraction protocols with E. coli K1 strain RS18, compare Agilent electrophoretic patterns, and also sequenced random samples throughout this research using mRNA/miRNA sequencing. Our initial quantitative dPCR miRNA data presented herein showe that the quantitative changes in the expression of a few mature miRNA genes in stool, which are associated with right and left colon cancer, would provide for a more convenient, sensitive and specific diagnostic screening markers thatare more useful than those test markers currently available on the market, such as the low-sensitivity (<15%) fecal occult blood test (FOBT); result in better compliance; and is more economical than the invasive and expensive colonoscopy exam in colon cancer, which can be cured if that cancer is detected at the early TNM stages, and that becomes incurable and deadly if not diagnosed before metastasis. Initial test performance characteristics of the miRNA approach showed that the test has a high numerical predictive value in colon cancer. Moreover, underpinning of the miRNA markers as a function of total RNA showed that the test can numerically differentiate between control subjects and colon cancer patients, particularly at the early stages of that curable cancer. We propose to extend our initial research results to a larger prospective and randomized five-years nested case-control study, to validate the expression of the above 14 miRNAs, in stool of 180 individuals in an epidemiologically designed study, using (30 controls and 150 colon cancer patients (thirty precancerous polyps (stage 0-1), forty five stage 2, and seventy-five colon cancer stages 3 or 4). chosen randomly by an epidemiological method from 900 control and CC subjects to allow for an adequate time to collect the required 900 stool samples, as well as allowing for statistically valid analysis, standardized test conditions, and to provide a mean for determining the true sensitivity and specificity of a miRNA-screening approach in noninvasive human stool. Power-analysis has indicated that a total of 180 individuals, which will take us 5 years to enroll in testing, is an appropriate number of subjects to standardize and validate our proposed miRNA screening test. We may find out at the end of the proposed validation study in stool that fewer miRNAs, or even one miRNA, may suffice to serve as an efficient and a quantitative marker for the non-invasive diagnostic screening of colon cancer in human stool. The above approach when combined with bioinformatics analysis, to correlate miRNA seed data with our previously published messenger (m)RNA target data in stool, allows for a thorough mechanistic understanding of how miRNA genes regulate mRNA expression, and would offer a better comprehensive diagnostic screening test for the non-invasive early detection stage (0-1) of colon cancer. In order to show the clinical sensitivity and specificity of the proposed miRNA test, the absolute miRNA PCR values, in copies/µl, will be correlated with FOBT, colonoscopy, and pathology data. Standardization will establish test’s performance characteristics (sample selection, optimal sample running conditions, preservation and storage) to ensure that the assay will perform the same way in any laboratory, by any trained personnel, anywhere in the World. Ultimately, a smaller number of selected validated miRNAs (<10) showing increased and reduced expression could suffice to give quantitative miRNAs colon cancer expression values, useful for the early diagnostic screening of that curable cancer.
Jan 2019 DOI 10.14302/issn.2572-3030.jcgb-18-2527
Zhang XiCorresponding author
Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, United States
As remarkable advances have been made in immunotherapies, the overall goal of immunotherapy has become the selection of patients and evaluating the benefits of treatment. One of the major obstacles to develop immunotherapies is the lack of effective immune monitoring. Monitoring of key changes in the immune system during immunotherapy (immunomonitoring) provides important insights into efficacy as well as the immune mechanisms of response at the molecular and cellular levels. Immunomonitoring techniques include traditional immunoassays that use specific antibodies to recognize the analytes of interest, new high-throughput immunoassays that target immune cells and nucleic acids, and less classical immunogenomic approaches that rely on genome-wide profiling and computational analysis on various types of clinical samples. Substantial progress has been made in the application of immunomonitoring strategies to pre-clinical and clinical studies, especially for patients with cancer and infectious diseases. Current and emerging immunoassays performed in clinical practice will be examined herein, and immunogenomic approaches that complement these techniques will be highlighted and compared with traditional methods. Finally, we will discuss several new computational methods for analyzing gene signatures for immunomonitoring, including gene expression data profiling by microarray, the nCounter technique, regular RNA-seq, and single-cell RNA-seq. Novel immunomonitoring techniques, especially immunogenomic approaches, will continue to be developed to facilitate assessment of immunotherapeutic response and predict patient outcomes in cancer and infectious disease.
Jan 2014 DOI 10.14302/issn.2326-0793.jpgr-13-355
Tarassishin LeonidCorresponding author
Department of Microbiology and Immunology
FIP-2 is a multifunctional protein which is involved in various cellular processes. Using different approaches we investigated its regulatory activity. The microarray analysis has shown that FIP-2 substantially altered the expression of 75 genes (35+/40-) from different functional groups with maximal presentation in “Signal transduction” and “Transcription regulation”. Real time RT-PCR indicated significant elevation in the transcription of chemokines, particularly IL-8 (CXCL8). Production of IL-8 in HEK293 cells dramatically increased with FIP-2 overexpression. We also demonstrated that FIP-2 induced activation of IL-8 promoter activity through NF-kB binding site. Additionally, we showed that FIP-2 could interact with PAK3 and increase its kinase activity. Overall, we demonstrated the role of FIP-2 in the regulation of chemokines (IL-8, MPIF-1, MCP-1) and kinases (PAK3, ALK).