Nanomics Autolab
Large-Scale Proteomics Made Easy
Autolab offers seamless, high-throughput proteomics service for large-cohort studies.
We make it easy to get accurate, consistent data on a large scale, supporting everything from biomarker discovery to disease research.
Our automated platform is designed to handle big studies efficiently, so you get reliable insights faster.
Plasma Proteomics
10 x deeper 10 x faster
Reliable Data Quality
Precision and consistency for dependable results.
Scalable Automation
Handles pretomics studies of any size, big or small.
Cost-Effective
Affordable solution for large-scale studies without compromising quality.
High Throughput
Fast processing for large sample volumes.
How we ensure data quality?
Proteonano™
quality control system
In large cohort proteomics experiments with mass spec, subgroups of protein measurements with quantitatively different behaviors (i.e. batch effect) oftentimes hinders the downstream bioinformatic analysis.
Nanomics’ s Proteonano™ Ultraplex proteomics platform features a built-in quality control system (QCS), enabling comprehensive monitoring at the individual sample level.
Here’s how it works:
Step 1: Incubation controls
Recommended sample quality control solution
QC 1: QC1 is made up of pooled healthy human plasma samples to monitor the protein enrichment process (Step 1: Incubation controls) and correct potential inter-plate variations. Typically, three replicates of QC1 are included in each fully loaded 96-well plate.
QC 2: QC2 is also pooled healthy human plasma but remains untreated by the Proteonano™ Plasma Kit (i.e., neat plasma).
QC 3: QC3 is a lyophilized peptide mix derived from pooled healthy human plasma that has undergone enrichment, reduction, alkylation, enzymatic digestion, and desalting.
Step 2: Detection controls
LC-MS/MS status check prior experiments:
To evaluate the overall performance of the LC-MS/MS, we use QC 3 samples. These samples undergo the same procedures as the actual experimental samples, focusing on assessing the performance of the LC-MS/MS. Typically, a QC 3 sample is run every 10-20 LC-MS/MS runs.
The quality control workflow for LC-MS/MS experiments is shown in Figure 4.
Step 3: Data analysis controls
Batch effect correction:
Batch effects can arise from differences in sample preparation, data acquisition conditions, and variations in technicians, reagent quality, and various instruments. These factors reduce the ability to detect genuine biological signals.
The Proteonano™ platform features an integrated data analysis workflow that ensures consistency of QC samples across multiple batches. It achieves a median interplate %CV of below 20% and an median intraplate %CV of below 15%.
Stability of protein identification and inter-batch correlation for QC samples
We assessed the stability of protein enrichment using QC1 samples across 6 batches (a total of 18 QC1 samples). As shown in Figure 6, the median CV for protein quantity between batches is below 10%, and the median CV for protein intensity quantification is below 15%. This demonstrates the stability of protein enrichment across different batches in the project.
Figure 6: PGs identified for QC1 samples across 6 batches
We also assessed the pairwise correlations of the 18 QC1 samples throughout the project to ensure that Pearson correlation coefficients exceed 90% both between and within batches.
Figure 7: Pearson correlation across 18 QC1 samples from 6 batches
We will empower you to
discover protein biomarkers
and drive them through every step
to real-world applications
Step 3:
Translation
Step 2:
Validation
Step 1:
Discover
clinically validated biomarkers
“At Nanomics Autolab Center of Excellences, we are dedicated to providing the best services to accelerate mass spec-based large cohort clinical proteomics studies with excellent robustness, high-throughput, and cost-effectiveness.“
- Dr. Hao Wu, Founder & CEO of Nanomics
Ready to analyze? Get started here
Let’s talk about your project and see how our lab can help drive your research and support your diagnostic goals.