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Multiple Disulfide-Bonded States of Native Proteins: Estimate of Number Using Probabilities of Disulfide Bond Formation.

ABSTRACT: The polypeptide backbone of proteins is held together by two main types of covalent bonds: the peptide bonds that link the amino acid residues and the disulfide bonds that link pairs of cysteine amino acids. Disulfide bonds form as a protein folds in the cell and formation was assumed to be complete when the mature protein emerges. This is not the case for some secreted human blood proteins. The blood clotting protein, fibrinogen, and the protease inhibitor, ?2-macroglobulin, exist in multiple disulfide-bonded or covalent states in the circulation. Thousands of different states are predicted assuming no dependencies on disulfide bond formation. In this study, probabilities for disulfide bond formation are employed to estimate numbers of covalent states of a model polypeptide with reference to ?2-macroglobulin. When disulfide formation is interdependent in a protein, the number of covalent states is greatly reduced. Theoretical estimates of the number of states will aid the conceptual and experimental challenges of investigating multiple disulfide-bonded states of a protein.

SUBMITTER: Hogg PJ

PROVIDER: S-EPMC7730261 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Multiple Disulfide-Bonded States of Native Proteins: Estimate of Number Using Probabilities of Disulfide Bond Formation.

Hogg Philip J PJ

Molecules (Basel, Switzerland) 20201204 23

The polypeptide backbone of proteins is held together by two main types of covalent bonds: the peptide bonds that link the amino acid residues and the disulfide bonds that link pairs of cysteine amino acids. Disulfide bonds form as a protein folds in the cell and formation was assumed to be complete when the mature protein emerges. This is not the case for some secreted human blood proteins. The blood clotting protein, fibrinogen, and the protease inhibitor, α2-macroglobulin, exist in multiple d ...[more]

PMID: 33291690

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Project description:The protein secretory pathway must maintain homoeostasis while producing a wide assortment of proteins in different conditions. It is also used extensively to produce many useful proteins in biotechnology. As such, secretory pathway dysfunction can be highly detrimental to the cell, resulting in the molecular basis for many human diseases, and can drastically inhibit product titers in biochemical production. Because the secretory pathway is a highly-integrated, multi-organelle system, dysfunction can happen at many levels and dissecting the root cause can be challenging. To better understand some of these dysfunctions, we measured multiple systems-level states of the cell (physiology, transcriptome, metabolism) while secreting a small protein (insulin precursor) or a large protein (?-amylase). This was carried out in the presence and absence of HAC1, a key transcription factor in maintaining secretory homeostasis. Clear trends in cellular stress were apparent across multiple data resulting from our perturbations. In particular, processes involving (1) degradation of protein / recycling amino acids, (2) overall transcription/translation repression, and (3) oxidative stress. Apparent runaway oxidative radical production was explained by a thermodynamic model that we put forward for disulfide formation in the endoplasmic reticulum. This model predicts that balancing the relative rates of protein folding and disulfide bond formation are key to easing oxidative stress. These predictions have direct implications in how to engineer a broad range of recombinant proteins for secretion and provide potential hypotheses for the root causes of several secretory-associated diseases. Yeast strains were constructed that produce and secrete (a) IP or (b) ?-amylase and were compared to yeast strains containing (c) an empty vector in both wild-type and HAC1 deletion backgrounds. These strains are named WN (WT with empty vector), WI (WT secreting IP), WA (WT secreting ?-amylase), dN (?hac1 with empty vector), dI (?hac1 secreting IP), and dA (?hac1 secreting ?-amylase). Strains were characterized in batch fermentation and samples were taken in mid-exponential phase. Triplicate fermentations were carried out for each strain.

Dataset Information

Multiple Disulfide-Bonded States of Native Proteins: Estimate of Number Using Probabilities of Disulfide Bond Formation.

Publications

Multiple Disulfide-Bonded States of Native Proteins: Estimate of Number Using Probabilities of Disulfide Bond Formation.

Similar Datasets

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