Quantitative Proteomics (TMT / DIA)

Quantitative proteomics provides precise, high-throughput measurement of relative and absolute protein abundance changes across multiple sample groups. Utilizing advanced isobaric multiplex labeling (TMT) and Data-Independent Acquisition (DIA), this approach enables rigorous statistical comparison of dynamic proteomic alterations across extensive biological cohorts.

Quick Quote

Quantitative Proteomics Introduction

Aruna’s quantitative proteomics pipeline combines state-of-the-art TMT multiplexing and DIA workflows to deliver unparalleled reproducibility and minimal missing values across large sample sets. This high-precision approach allows researchers to measure subtle quantitative shifts in protein expression with high statistical confidence across disease states, drug treatment time-courses, or genetic knockouts.

Quantitative proteomics is widely applied in clinical biomarker discovery, pharmacodynamics, toxicogenomics, and pathway profiling. By quantifying thousands of proteins simultaneously across multiplexed multiplex channels, researchers can pinpoint critical driver proteins and therapeutic response markers.

Our optimized quantitative protocols reduce batch effects and maximize sample throughput. We tailor the acquisition strategy, whether TMT multiplexing or deep-coverage DIA, to best align with your cohort size and analytical budget. Contact us for a no-obligation discussion about your project.

Sample Requirements

Cellular & Tissue Samples:

Cell Pellets: ≥ $\ge 2 \times 10^6$ cells
Tissue: ≥ $\ge 30\text{ mg}$ (flash-frozen)

Purified Protein Input:

TMT Workflows: ≥ $\ge 100\ \mu\text{g}$ total protein per channel (Concentration ≥ $\ge 1.5\text{ mg/mL}$ )
DIA Workflows: ≥ $\ge 100\ \mu\text{g}$ total protein per sample
Buffer Compatibility: Tris/HEPES, Urea, RIPA (compatible with detergent-removal cleanup protocols)

Technical Standards

Up to 18-plex TMT pro isobaric labeling or label-free DIA LC-MS/MS runs
Guaranteed quantification CV $< 15\%$ across biological replicates
Typical identification: $> 6,000$ proteins quantified at $< 1\%$ protein-level FDR