Comparison of skeletal muscle protein in three different mammalian species

The characteristics, nature, and distinctiveness of the proteins give a unique individuality to each organism. For the present investigation three different mammalian species of Amravati region were selected and their muscle protein were analyzed by SDS-PAGE, and total protein were estimated by Folin phenol method. The muscle proteins were estimated from leg muscles and it was found a significant variation in total muscle protein content. Electrophoretic separation of muscle proteins of the selected mammals showed inter specific variations. All these observations indicate that, the muscle protein electrophorograms can be used for species specificity.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-30
DOI
https://doi.org/10.5281/zenodo.14456016
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
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article

Comparison of skeletal muscle protein in three different mammalian species

Zenodo (CERN European Organization for Nuclear Research)
Advanced Proteomics Techniques and Applications
article

Comparison of skeletal muscle protein in three different mammalian species

article en

Abstract

The characteristics, nature, and distinctiveness of the proteins give a unique individuality to each organism. For the present investigation three different mammalian species of Amravati region were selected and their muscle protein were analyzed by SDS-PAGE, and total protein were estimated by Folin phenol method. The muscle proteins were estimated from leg muscles and it was found a significant variation in total muscle protein content. Electrophoretic separation of muscle proteins of the selected mammals showed inter specific variations. All these observations indicate that, the muscle protein electrophorograms can be used for species specificity.

Zenodo (CERN European Organization for Nuclear Research)
Sant Gadge Baba Amravati University (IN)
Life in Land
Openalex Percentile: Top 67%
Advanced Proteomics Techniques and Applications
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