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Related Concept Videos

Proteomics01:33

Proteomics

9.9K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

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Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
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What is the Immune System?01:38

What is the Immune System?

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Overview
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Chromatin Position Affects Gene Expression02:35

Chromatin Position Affects Gene Expression

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Chromatin is the massive complex of DNA and proteins packaged inside the nucleus. The complexity of chromatin folding and how it is packaged inside the nucleus greatly influences  access to genetic information. Generally, the nucleus' periphery is considered transcriptionally repressive, while the cell's interior is considered a transcriptionally active area. 
Topologically Associated Domains (TADs)
The 3-dimensional positioning of chromatin in the nucleus influences the...
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In-vitro Mutagenesis01:16

In-vitro Mutagenesis

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To learn more about the function of a gene, researchers can observe what happens when the gene is inactivated or “knocked out,” by creating genetically engineered knockout animals. Knockout mice have been particularly useful as models for human diseases such as cancer, Parkinson’s disease, and diabetes.
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pre-mRNA Processing02:01

pre-mRNA Processing

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In eukaryotic cells, transcripts made by RNA polymerase are modified and processed before exiting the nucleus. Unprocessed RNA is called precursor mRNA or pre-mRNA to distinguish it from mature mRNA.
Once about 20-40 ribonucleotides have been joined together by RNA polymerase, a group of enzymes adds a “cap” to the 5’ end of the growing transcript. In this process, a 5’ phosphate is replaced by modified guanosine that has a methyl group attached to it (7-Methyl...
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Related Experiment Video

Updated: Feb 11, 2026

Culturing Rat Sympathetic Neurons from Embryonic Superior Cervical Ganglia for Morphological and Proteomic Analysis
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Proteomic Markers in Cervical Mucus.

Yolanda Fernandez-Hermida1, Giuseppe Grande2, Micaela Menarguez3

  • 1Department of Medicine, Faculty of Medicine, Universidad Autónoma de Barcelona, Barcelona, Spain.

Protein and Peptide Letters
|April 19, 2018
PubMed
Summary
This summary is machine-generated.

Cervical mucus (CM) changes throughout the menstrual cycle, serving as a reliable fertility predictor. Its protein composition also holds potential for identifying gynecological diseases like endometriosis.

Keywords:
Cervical mucusfertility awarenessmarkersnfpproteomicreproduction.

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Area of Science:

  • Reproductive Biology
  • Gynecology
  • Proteomics

Background:

  • Cervical mucus (CM) is a dynamic fluid secreted by the cervix.
  • Its biochemical and biophysical properties change cyclically, influencing fertility.
  • CM's protein-rich nature suggests potential as a biomarker source.

Purpose of the Study:

  • To review the physicochemical properties and functions of cervical mucus.
  • To highlight CM's role in assessing female fertility.
  • To explore CM as a source of proteomic biomarkers for reproductive health.

Main Methods:

  • Literature review of studies on cervical mucus properties and composition.
  • Analysis of proteomic data from cervical mucus samples.
  • Correlation of CM characteristics with fertility and disease states.

Main Results:

  • Cervical mucus observation aids in identifying peak fertility days.
  • Proteomic analysis reveals cyclical changes in CM composition.
  • Specific proteins in CM are associated with endometriosis.

Conclusions:

  • Cervical mucus is a validated marker for fertility prediction.
  • Further research into CM's proteome can enhance understanding of reproduction.
  • CM shows promise as a source for diagnosing gynecological diseases.