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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced protein extraction and quantification protocol for microsamples: An ultra‐sensitive workflow for low‐volume, low‐concentration total protein lysates

Jingli Wang, Justin Westhoff, Abigail Thorgerson, Michael E. Widlansky et al.
1 citations
Protein Science
Advanced Proteomics Techniques and Applications
0.76
article

Enhanced protein extraction and quantification protocol for microsamples: An ultra‐sensitive workflow for low‐volume, low‐concentration total protein lysates

Jingli Wang, Justin Westhoff, Abigail Thorgerson, Michael E. Widlansky, Michelle L. Roberts, Rong Ying, Taylor Wilcox
article en
1 citations

Abstract

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.

Protein ScienceVol. 34(6)
Medical College of Wisconsin (US)
American Heart Association, National Heart, Lung, and Blood Institute, National Center for Advancing Translational Sciences
Openalex Percentile: Top 31%
Advanced Proteomics Techniques and Applications
0.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.