A Rapid One-Pot Workflow for Sensitive Microscale Phosphoproteomics.
Gul MuneerCiao-Syuan ChenTzu-Tsung LeeBo-Yu ChenYi-Ju ChenPublished in: Journal of proteome research (2024)
Compared to advancements in single-cell proteomics, phosphoproteomics sensitivity has lagged behind due to low abundance, complex sample preparation, and substantial sample input requirements. We present a simple and rapid one-pot phosphoproteomics workflow (SOP-Phos) integrated with data-independent acquisition mass spectrometry (DIA-MS) for microscale phosphoproteomic analysis. SOP-Phos adapts sodium deoxycholate based one-step lysis, reduction/alkylation, direct trypsinization, and phosphopeptide enrichment by TiO 2 beads in a single-tube format. By reducing surface adsorptive losses via utilizing n -dodecyl β-d-maltoside precoated tubes and shortening the digestion time, SOP-Phos is completed within 3-4 h with a 1.4-fold higher identification coverage. SOP-Phos coupled with DIA demonstrated >90% specificity, enhanced sensitivity, lower missing values (<1%), and improved reproducibility (8%-10% CV). With a sample size-comparable spectral library, SOP-Phos-DIA identified 33,787 ± 670 to 22,070 ± 861 phosphopeptides from 5 to 0.5 μg cell lysate and 30,433 ± 284 to 6,548 ± 21 phosphopeptides from 50,000 to 2,500 cells. Such sensitivity enabled mapping key lung cancer signaling sites, such as EGFR autophosphorylation sites Y1197/Y1172 and drug targets. The feasibility of SOP-Phos-DIA was demonstrated on EGFR-TKI sensitive and resistant cells, revealing the interplay of multipathway Hippo-EGFR-ERBB signaling cascades underlying the mechanistic insight into EGFR-TKI resistance. Overall, SOP-Phos-DIA is an efficient and robust protocol that can be easily adapted in the community for microscale phosphoproteomic analysis.
Keyphrases
- tyrosine kinase
- epidermal growth factor receptor
- small cell lung cancer
- mass spectrometry
- single cell
- induced apoptosis
- cell cycle arrest
- advanced non small cell lung cancer
- electronic health record
- high resolution
- healthcare
- liquid chromatography
- magnetic resonance imaging
- multiple sclerosis
- stem cells
- randomized controlled trial
- signaling pathway
- mental health
- oxidative stress
- rna seq
- endoplasmic reticulum stress
- machine learning
- molecularly imprinted
- cell proliferation
- wastewater treatment
- deep learning
- visible light