Optimization of protein quantification from soil samples
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| Titel: | Optimization of protein quantification from soil samples |
|---|---|
| Autoren: | Waibel, Matthias, Tuohy, Maria, Paterson, E., Thornton, B., Brennan, F., Abram, Florence |
| Weitere Verfasser: | Irish Research Council, University of Galway Research Repository |
| Verlagsinformationen: | Wiley, 2025. |
| Publikationsjahr: | 2025 |
| Schlagwörter: | total hydrolysable amino acids, interfering substances, protein quantification, Lowry assay, qubit protein assay, soil |
| Beschreibung: | Protein profiling of soil samples has the potential to enhance our understanding of soil ecosystems and guide the development of sustainable soil management practices. In that context, there is a need to develop robust proteomic workflows, starting with reliable protein quantification. Total protein quantification with the Lowry assay is a relatively easy, rapid, and cheap method, but requires interference corrections due to reactivity with a wide range of compounds that occur in soil, plant, and other biological matrices. Here, we propose sample-specific corrections for soil protein extracts. We benchmarked our approach against other protein quantification methods, including other Lowry corrections, total hydrolysable amino acids, and Qubit total protein assay. Our sample-specific Lowry corrections did not overestimate or underestimate protein content when compared to the other methods tested. As a practical contribution, this work provides a calibration method for the Lowry assay using protein reference values in a multivariate regression approach to enable simple and high-throughput total protein quantification of soil samples. |
| Publikationsart: | Article |
| Dateibeschreibung: | application/pdf |
| Sprache: | English |
| DOI: | 10.13025/30024 |
| Zugangs-URL: | https://hdl.handle.net/10379/19230 https://doi.org/10.13025/30024 |
| Rights: | CC BY |
| Dokumentencode: | edsair.doi.dedup.....210b83a96d54eeff9b80e7b9b994ecd4 |
| Datenbank: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstract: | Protein profiling of soil samples has the potential to enhance our understanding of soil ecosystems and guide the development of sustainable soil management practices. In that context, there is a need to develop robust proteomic workflows, starting with reliable protein quantification. Total protein quantification with the Lowry assay is a relatively easy, rapid, and cheap method, but requires interference corrections due to reactivity with a wide range of compounds that occur in soil, plant, and other biological matrices. Here, we propose sample-specific corrections for soil protein extracts. We benchmarked our approach against other protein quantification methods, including other Lowry corrections, total hydrolysable amino acids, and Qubit total protein assay. Our sample-specific Lowry corrections did not overestimate or underestimate protein content when compared to the other methods tested. As a practical contribution, this work provides a calibration method for the Lowry assay using protein reference values in a multivariate regression approach to enable simple and high-throughput total protein quantification of soil samples. |
|---|---|
| DOI: | 10.13025/30024 |