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Optimized protein extraction protocol from human skin samples

Summary

Researchers developed an improved method for extracting and analyzing proteins from human skin samples. Using specialized equipment and chemical treatments, they were able to identify about 6,000 different proteins in skin tissue, which is significantly more than previous methods could detect. This new protocol is particularly useful for studying skin diseases like fungal infections and could help identify new treatments by revealing how proteins change in diseased skin.

Background

The skin is the largest organ of the human body and is affected by diverse diseases ranging from infectious to autoimmune conditions. However, proteomic analysis of skin tissue is limited due to the complexity of the cutaneous structure, particularly the high abundance of proteins like keratin and collagen that can mask detection of lower-abundance proteins.

Objective

To develop an optimized and improved protocol for protein extraction from human skin samples that enhances identification of proteins through combined chemical and mechanical lysis approaches.

Results

The optimized protocol identified approximately 6,000 proteins from healthy skin samples. Control group (healthy individuals, n=12) showed median of 4,983 proteins while sporotrichosis patient group (n=19) showed 5,974 proteins. The protocol achieved a yield three times higher than previous methods.

Conclusion

The optimized protocol for protein extraction from human skin significantly improved proteomic coverage and protein identification efficiency. This methodology provides a valuable tool for investigating skin biology, identifying biomarkers, and discovering therapeutic targets for cutaneous diseases.
  • Published in:Biology Methods and Protocols,
  • Study Type:Protocol Development Study,
  • Source: PMID: 40575148, DOI: 10.1093/biomethods/bpaf035
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