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El documento presenta un estudio sobre la complejidad del proteoma de la saliva humana, analizando 110 proteínas y reportando la identificación de 10 accesiones previamente no detectadas, en el
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How to fill out Complexity of the human whole saliva proteome

01
Start by collecting a saliva sample from a healthy individual.
02
Centrifuge the saliva to separate any cellular debris and obtain the supernatant.
03
Use proteomic techniques, such as mass spectrometry, to analyze the proteins present in the saliva sample.
04
Perform data processing to identify and quantify the different proteins detected.
05
Use bioinformatics tools to compare the identified proteins with existing databases for functional annotation.
06
Assess the complexity by analyzing protein diversity, abundance, and molecular weight distributions.
07
Document your findings and compare them with established profiles of saliva proteomes.

Who needs Complexity of the human whole saliva proteome?

01
Researchers studying oral health and disease mechanisms.
02
Clinical practitioners needing biomarkers for diagnostics.
03
Pharmaceutical companies developing salivary diagnostic tests.
04
Nutritional scientists researching the impact of diet on saliva composition.
05
Health professionals interested in the role of saliva in systemic diseases.
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These molecules may act as the circulating biomarkers of disease and contain sufficient information to detect disease status in patients (11). Saliva-based biomarkers have several advantages over blood which is a well-known biofluid for the diagnosis of diseases.
Alpha amylase is the most abundant protein in human saliva, accounts for about 50–60% of the total protein amount, which hurdled the detection and quantification of low abundant proteins.
Types of Proteomics Proteomics can be classified into three categories; expression proteomics, structural proteomics, and functional proteomics. Expression proteomics is a field that studies the changes in protein expression, both qualitatively and quantitatively, under different conditions.
Proteins in saliva that participate in one or more of these functions include mucins, amylases, defensins, cystatins, histatins, proline-rich proteins, statherin, lactoperoxidase, lysozyme, lactoferrin, and immunoglobulins. The functions of these proteins can be redundant and overlapping.
The total protein concentration in normal healthy saliva ranges from 0.5 – 2 mg/mL and this is about 3% of total proteins found in plasma [16].
Recent proteomic platforms have analysed the human salivary proteome and characterised about 3000 differentially expressed proteins and peptides: in saliva, more than 90% of proteins in weight are derived from the secretion of three couples of "major" glands; all the other components are derived from minor glands,
Recent proteomic platforms have analysed the human salivary proteome and characterised about 3000 differentially expressed proteins and peptides: in saliva, more than 90% of proteins in weight are derived from the secretion of three couples of "major" glands; all the other components are derived from minor glands,
(2008). Approximately 1 to 2 mL of saliva containing 0.3% protein is found in a normal mouth (Lagerlof and Dawes, 1984; Schipper et al., 2007). This would mean that the 6 mg of salivary proteins would be mixed with 100 to 2,000 mg of β-LG over the concentration range evaluated in this study.

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The complexity of the human whole saliva proteome refers to the diverse array of proteins present in human saliva, which includes enzymes, antimicrobial proteins, mucins, and various biomarkers that reflect physiological and pathological states.
Researchers and clinicians involved in studies related to oral health, disease diagnostics, and saliva analysis are typically required to file data on the complexity of the human whole saliva proteome.
To fill out the complexity of the human whole saliva proteome, one must collect saliva samples, perform proteomic analysis using techniques such as mass spectrometry, and record the identified proteins along with their concentrations and functional annotations.
The purpose of studying the complexity of the human whole saliva proteome is to understand its role in oral health, detect diseases, provide diagnostic information, and explore its potential for therapeutic applications.
Information that must be reported includes the list of identified proteins, their relative abundances, potential functions, associated biomarkers, and any relevant clinical data linked to the saliva samples.
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