Enhanced protein extraction and quantification protocol for microsamples: An ultra‐sensitive workflow for low‐volume, low‐concentration total protein lysates
Accurate protein quantification at low concentrations and small volumes is critical for advancing small-scale research, such as microvasculature studies. However, existing microscale protocols often require ≥5 μL of sample or highly concentrated lysates, limiting their applicability in contexts with scarce material. To overcome these limitations, we developed the Nano-Extraction BCA-Optimized Workflow (NEBOW), a novel method requiring only 2 μL of sample and capable of detecting protein concentrations as low as 0.01 mg/mL. Optimized for the NanoDrop™ One UV-Vis Spectrophotometer, this workflow demonstrated significantly enhanced sensitivity and reproducibility compared to the standard BCA assay. Paired t tests (p < 0.01) and TOST equivalence testing (15% margin) confirmed key differences, with the NEBOW method producing steeper standard curves and more consistent results at low concentrations. Bland-Altman analysis showed that standard BCA tends to overestimate protein levels, while the NEBOW method maintained accuracy across a range of low-input samples. Western blot validation supported the improved performance of the new workflow. This approach offers a reliable, cost-effective solution for protein quantification when sample availability is limited, without sacrificing accuracy or sample integrity.
Authors
- Jingli Wang
- Justin Westhoff
- Abigail Thorgerson (ORCID: https://orcid.org/0000-0002-6109-6785)
- Michael E. Widlansky (ORCID: https://orcid.org/0000-0002-1461-9707)
- Michelle L. Roberts (ORCID: https://orcid.org/0000-0001-8920-930X)
- Rong Ying (ORCID: https://orcid.org/0000-0002-8561-7872)
- Taylor Wilcox
Institutions
- Medical College of Wisconsin (US)
Publication Details
- Journal
- Protein Science
- Published
- 2025-05-15
- DOI
- https://doi.org/10.1002/pro.70161
- Citations
- 1
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.76
Funders
- American Heart Association
- National Heart, Lung, and Blood Institute
- National Center for Advancing Translational Sciences