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Related Concept Videos

Protein Networks02:26

Protein Networks

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An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
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Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

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Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
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Cell-surface Signaling01:21

Cell-surface Signaling

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Hormones—or any molecule that binds to a receptor, known as a ligand—that are lipid-insoluble (water-soluble) are not able to diffuse across the cell membrane. In order to be able to affect a cell without entering it, these hormones bind to receptors on the cell membrane. When a first messenger, a hormone, binds to a receptor, a signal cascade is set off, causing second messengers, proteins inside the cell, to become activated, resulting in downstream effects.
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Related Experiment Video

Updated: Jun 1, 2025

Author Spotlight: Exploring the Role of Inflammation in the Co-occurrence of Primary Sjogren's Syndrome and Lung Adenocarcinoma
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Soluble Immune Checkpoint Protein and Lipid Network Associations with All-Cause Mortality Risk: Trans-Omics for

Annabelle Rodriguez, Chaojie Yang, Wenqi Gan

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    Immune checkpoint therapies may increase cardiovascular risks. Specific plasma proteins, LAG3 and HAVCR2, are linked to mortality, and genetic variants associated with HDL cholesterol may offer further risk prediction.

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    Area of Science:

    • Cardiovascular disease
    • Oncology
    • Genetics
    • Proteomics

    Background:

    • Immune checkpoint inhibitors (ICIs) are revolutionizing cancer treatment.
    • Adverse cardiovascular events are an emerging concern with ICI use.
    • Understanding the molecular mechanisms linking ICIs to cardiovascular risk is crucial.

    Purpose of the Study:

    • To investigate the association between immune checkpoint plasma proteins and cardiovascular risk factors.
    • To explore the protein network associated with high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C).
    • To assess the association of these protein networks with all-cause mortality risk.

    Main Methods:

    • Utilized datasets from the Trans-Omics for Precision Medicine program, including the Multi-Ethnic Study of Atherosclerosis, Jackson Heart Study (JHS), and Framingham Heart Study.
    • Examined associations between immune checkpoint plasma proteins, HDL-C, and LDL-C.
    • Performed colocalization analysis using genome-wide association studies (GWAS) of HDL-C/LDL-C and protein quantitative trait loci (pQTLs) from JHS and Atherosclerosis Risk in Communities.

    Main Results:

    • Plasma levels of Lymphocyte-Activation Gene 3 (LAG3) and Hepatitis A Virus Cellular Receptor 2 (HAVCR2) were significantly associated with mortality risk.
    • TFF3 rs60467699 and CD36 rs3211938 variants significantly colocalized with HDL-C.
    • No significant colocalization was observed between genetic variants and LDL-C.

    Conclusions:

    • Plasma LAG3 and HAVCR2 levels are associated with increased mortality risk.
    • Specific genetic variants linked to HDL-C may contribute to cardiovascular risk.
    • Measuring plasma LAG3, HAVCR2, and associated proteins, along with targeted genotyping, could help identify high-risk patients.