Urinary Proteomics
Urinary Proteomics - Related Videos
09:29
Skeletal Muscle Gender Dimorphism from Proteomics
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Cited by 4 •
2011
A straight-forward set of methods to isolate and determine the identity of the most abundant proteins expressed in skeletal muscle. About 800 spots are discerned on a two-dimensional gel from 10 mg muscle; this allows for the determination of gender-specific protein expression. These methods will give equivalent results in most tissues.
09:20
Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue
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Cited by 50 •
2013
Archival formalin fixed and paraffin embedded (FFPE) clinical samples are valuable material for investigation of diseases. Here we demonstrate a sample preparation workflow allowing in-depth proteomic analysis of microdissected FFPE tissue.
14:23
Bottom-up and Shotgun Proteomics to Identify a Comprehensive Cochlear Proteome
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Cited by 6 •
2014
Proteome analysis of the cochlear sensory epithelium can be challenging due to its small size and because membrane proteins are difficult to isolate and identify. Both membrane and soluble proteins can be identified by combining multiple preparative methods and separation techniques along with high-resolution mass spectrometry.
03:47
Methylene Blue Dye Injection in Mouse Embryonic Urinary Tract: A Method To Assess the Congenital Obstruction in the Urinary Tract
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2025
In this video, we administer methylene blue dye injection into the urinary tract of a perinatal embryonic mouse to assess congenital anomalies related to urinary tract obstruction.
05:05
A Modified Precipitation Method to Isolate Urinary Exosomes
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Cited by 32 •
2015
This manuscript describes a protocol for isolating exosomes from human urine using a modified precipitation technique.
FAQs
Liquid chromatography first separates peptides in the urine-derived protein mixture. Tandem mass spectrometry then measures each peptide’s mass-to-charge pattern and produces fragmentation spectra. These complementary measurements allow researchers to identify peptide constituents and quantify them, creating a molecular profile that can be compared across samples or disease-related conditions.
Profile comparisons reveal differences in protein or peptide abundance between physiological and pathological states. Those differences can point to biochemical pathways affected by kidney disease, urinary tract disorders, or systemic conditions. The resulting patterns may also highlight candidate biomarkers whose presence or abundance could support diagnosis, prognosis, or treatment monitoring.
Changes in abundance indicate that particular proteins or peptides differ between biological conditions, while protein modifications provide additional information about molecular state. Examining both features helps connect urinary measurements with physiological or pathological processes. This biochemical perspective can clarify how disease-associated changes are reflected in the proteins released into urine.
A typical workflow begins with a urine sample and prepares its proteins for analysis through extraction and separation. The separated material then enters liquid chromatography–tandem mass spectrometry, where peptides are measured by mass-to-charge patterns and fragmentation spectra. Identification and quantification together produce the urinary protein profile used for downstream comparisons.
Researchers may use urinary proteomics when they need a noninvasive view of biochemical changes occurring throughout the body. The approach can examine molecular patterns associated with kidney disease, urinary tract disorders, and systemic conditions. It is especially useful when the goal is to discover candidate biomarkers or follow molecular changes during treatment.
In biochemistry, urinary proteomics connects measurable protein abundance and modification with physiological or pathological processes. Instead of examining isolated molecules only, researchers can compare broad protein profiles and relate their changes to affected pathways. This supports investigation of disease mechanisms and the evaluation of molecular indicators for diagnosis, prognosis, and treatment monitoring.