Nanoliter Nanowell Chip for Single Cell Proteomics Throughput
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current single cell proteomics methods face challenges in achieving high throughput and deep proteome coverage, limiting the analysis of large populations of single cells and providing insights into cellular heterogeneity.
Innovation Solution
The combination of microfluidic nanodroplet technology with tandem mass tag (TMT) isobaric labeling enhances proteomic sample processing efficiency and analysis throughput by enabling multiplexed analysis of single cell-sized protein quantities, achieving deep proteome coverage and cell-type specific marker identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional single cell proteomics methods are used, then proteome coverage can be achieved, but analytical throughput is limited to approximately 8 single cells per day
Solution Approach 1:
The sample processing is divided into multiple independent nanowell reactions, each handling a single cell or small group of cells. This segmentation allows parallel processing of many samples simultaneously, increasing throughput from 8 cells/day to over 490 cells/week while maintaining sensitivity for low-abundance proteins in each individual well.
Solution Approach 2:
Multiple nanowell samples are combined into a single LC-MS injection, merging the proteomic data from many single cells. This combining approach enables multiplexed analysis where peptides from dozens of individual cells are analyzed together, dramatically increasing analytical throughput while preserving the ability to trace peptides back to their cell of origin through TMT labeling.
2Measurement precision
If nanodroplet sample preparation is used, then single cell proteome coverage is improved, but device complexity increases due to microfluidic nanodroplet technology
Solution Approach 1:
A microfluidic chip with integrated nanowells serves as an intermediary device that automates the complex nanodroplet generation and sample processing steps. The chip incorporates TMT labeling reagents and processing buffers, eliminating the need for manual nanodroplet manipulation while maintaining the sensitivity and coverage benefits of nanoscale sample processing.
Solution Approach 2:
The system transitions from conventional microliter-scale sample processing to nanoliter-scale processing by changing the volume parameter. This parameter change enables detection of low-abundance proteins while the integrated microfluidic design maintains operational simplicity through standardized chip-based protocols.
3Adaptability or versatility
If TMT isobaric labeling is applied, then multiplexed analysis capability is enhanced, but sample preparation time and process complexity increase
Solution Approach 1:
TMT labeling reagents are pre-loaded into the nanowell chip before sample injection, allowing immediate labeling upon cell lysis. This preliminary preparation eliminates sequential processing steps and enables simultaneous labeling of multiple samples in parallel, reducing overall sample preparation time while maintaining multiplexed analysis capabilities.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for the high-throughput and unbiased characterization of single cell heterogeneity at the proteome level, with the ability to analyze ~490 single cells per week and identify over 2,300 proteins, effectively grouping cells by type based on protein expression.
Implementation Method 1
MS analysis on the separated sample
Implementation Method 2
separating step comprises performing a liquid chromatography (LC) separation
Data Source
Figure 1
Figure 2A~2C
AI summary
Improved methods of performing proteomic analysis are described wherein single cell samples are placed into nanowells disposed on chips that also contain a booster sample of known peptides. Once the samples are placed, these singles cells are lysed and peptides are extracted. These peptides are then labeled using TMT labels and combined with labeled boosting peptides to form a mixed sample. The mixed sample is then separated using an LC separation system and the separated sample is then passed through a mass spectrometer to acquire data of the peptide characterization data from the separated sample. Various modifications and alterations to the MS acquisition process that enhance the effectiveness of the process are also described.