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Biomarker Detection Articles & Analysis: Older
31 articles found
The Technical Revolution in Glycan Analysis Modern glycomics leverages breakthrough technologies that have transformed the field: Nano-LC-MS/MS with electron-transfer dissociation capturing fragmentation patterns impossible with earlier techniques Isotope-coded glycan tagging enabling precise quantitative comparisons across disease states MALDI-imaging mass spectrometry visualizing glycan ...
These beads can simultaneously capture multiple target analytes from one sample — such as cytokines or growth factors — while a detection system measures the interaction through fluorescence readouts. ...
By analyzing exosomal metabolites—ranging from amino acids to lipids to sugars—researchers can identify biomarkers that reflect the metabolic alterations that characterize different disease states. ...
In biomedical research, the detection and analysis of biomarkers are crucial. Among them, glycoproteins are an essential biomarker that plays a key role in many biological processes, including disease onset, progression, and treatment response. ...
PEG-modified nanoparticles can be used as biomarkers for detecting and imaging biomolecules. Carboxylic acid PEGs can be combined with markers such as fluorescent dyes or radionuclides to achieve high-resolution imaging and fluorescent labeling in vivo. ...
This article gives an overview of some very new and exciting research into the use of Raman spectroscopy for the detection of cancerous tissue, biomarkers of disease, and pathogens that cause disease. ...
ByB&W Tek
The accurate and timely diagnosis of preeclampsia is critical in management of affected pregnancies to reduce maternal and fetal/neonatal morbidity and mortality, yet difficulties remain in establishing the rigorous diagnosis of preeclampsia based on clinical parameters alone. Biomarkers that detect biochemical disease have been proposed as complements or ...
From one cell division to the next, epigenetic DNA and chromatin modifications prevail and can happen for several generations of cells. Biomarkers for the detection of certain metabolic diseases could be methylated DNA, acetylated proteins, miRNA, specific substrates, cofactors, enzymes engaging in biochemical reactions linked to epigenomic procedures in body ...
This imaging technique has the advantage of being able to visualize and quantify biomarkers, biochemical and intracellular processes, detect the stages of disease, identify the extent of disease and measure the effectiveness of treatment. ...
The application of existing WGS technologies to rare disease cases has proven to be useful in identifying the cause of disease by detecting multiple and comprehensive mutations at the whole-genome level, providing invaluable insights into the underlying molecular mechanisms of various rare diseases and opening up new possibilities for personalized medicine. ...
Luminex xMAP technology allows the detection of multiple biomarkers using a single sample, or multiple substances simultaneously in a single experiment. With a range of 3 - 4 orders of magnitude, Luminex protein measurement has the advantage of being highly specific, rapid, and reproducible for the simultaneous detection of multiple cytokines or ...
(4) Cytokine Assays Cytokine detection serves as an invaluable tool for both immunological research and clinical diagnostics. ...
Therefore, quantum dot-labeled microspheres can be used for multiplex detection of miRNA overexpression in human lung cancer cells. Fluorescent Microspheres for Protein Detection Multi-color quantum dot-bound microspheres have been widely proven to be used for the simultaneous detection of multiple antigens, including IgG, tumor markers, and ...
Differential expression analysis Differential gene expression (DGE) analysis is a key part of the analysis of small RNA data, which helps predict targets and find biomarkers.There are several good tools for this purpose (Table 3), but the optimal tool is highly dependent on the specific dataset. Biomarker identification and target prediction Biomarker ...
To understand the significance of the SpinTech MRI STAGE software platform, it helps to begin by asking a question: Given that MRI is an incredibly powerful diagnostic tool for neurological diseases like Alzheimer’s, dementia, Parkinson’s and multiple sclerosis (MS), why have radiologists and neurologists had to choose between conducting faster MRI exams and obtaining higher-quality ...
Despite the skepticism surrounding its viability in a clinical setting, QSM shows great potential in a wide range of clinical applications, particularly for biomarker detection and ...
Urine E-cadherin was supposed to be a marker for early detection of kidney injury in diabetic patients. In Sun’s research, label-free quantification was applied to systematically compare the protein profiling in saliva and serum exosomes from healthy subjects and lung cancer patients, and potential candidates were discovered as biomarkers for lung cancer. ...
Data from 144 tissue samples in the feasibility study demonstrated that SubB2M immunohistochemistry detected melanoma with 91% sensitivity and discriminated between malignant melanoma and benign skin lesions. ...
Our lipidomics analysis platform can detect cancer biomarkers, analyze the role and specific mechanisms of genes related to lipid metabolism in cancer, and investigate the signaling pathways that may be involved. ...
RNA, not only an essential part of the central dogma, is certainly a relatively untapped resource for biomarker discovery of various diseases. Cumulating data shows that RNA molecules, including mRNAs, lncRNAs, miRNAs, siRNAs, piRNAs, snoRNAs, and snRNAs, are more sensitive and specific than protein biomarkers since they are easy to detect and ...