Titanium(IV) immobilized affinity chromatography facilitated phosphoproteomics analysis of salivary extracellular vesicles for lung cancer.

Extracellular vesicles (EVs) play critical roles in intercellular communications, which contain valuable biomarkers for the detection of cancers. Phosphoproteomics analysis of human saliva EVs (sEVs) can help to discover lung cancer-related candidates. Due to the low abundance of phosphoproteins in sEVs, an efficient, reproducible, and cost-effective strategy is required for their enrichment. Here, we compared the latest phosphopeptide techniques, including TiO2, ZrO2, CaTiO3, and Ti4+-IMAC (immobilized metal affinity chromatography) methods, for phosphopeptide isolation. Our data demonstrated that Ti4+-IMAC was the superior one. By using the optimized Ti4+-IMAC approach, we identified more than 500 sEV phosphopeptides. Quantitative proteomics was employed to comprehensively decipher the sEV phosphoproteome of the normal group (n = 6) and lung cancer group (n = 6). Accordingly, 524 and 333 phosphopeptides were enriched, respectively, which corresponded to 439 and 282 phosphoproteins. In total, 857 unique sEV phosphopeptides corresponding to 721 phosphoproteins were revealed. Among 493 identified phosphosites, 37 were upregulated (> 1.5) and 217 were downregulated (< 0.66) in the cancer group. Our data collectively demonstrated that Ti4+-IMAC is an efficient and reproducible technology for comprehensive analysis of sEV phosphoproteome. Differentially expressed sEV phosphoproteins and phosphosites might be used for the detection of lung cancer non-invasively.

Simple Chip Electrophoresis Titration of Neutralization Boundary with EDTA Photocatalysis for Distance-Based Sensing of Melamine in Dairy Products.

Melamine was sometimes adulterated to dairy products for false protein content increase in developing countries. However, a portable sensor has not been developed for on-spot determination of melamine in dairy products yet. Herein, a distance-based sensor was advanced for the quantification of melamine in dairy products based on chip electrophoretic titration (ET) of moving neutralization boundary (NB) and EDTA photocatalysis. In the chip sensor, EDTA, H2O2, and leucomalachite green (LMG) were added in the anode well. Under UV light, EDTA photocatalyzes H2O2 and colorless LMG as H2O and color malachite green (MG) with one positive charge. When applying an electric field, the MG in the anode well migrated into the channel and was neutralized with the base in the channel, resulting in colorless MG-OH and NB. If the melamine-content dairy sample was added into the EDTA-H2O2-LMG system, H2O2 reacts with melamine, leading to the decrease of MG. Thus, the higher the melamine content in dairy products, the shorter the distance of NB migration under the given time, implying a distance-based sensor of melamine. A series of experiments manifested the validity of ET-NB sensor for detection of melamine. Moreover, the results revealed the numerous merits of ET-NB sensor, such as good selectivity, high sensitivity (LOD down to 0.20 µM for milk and 0.10 µM for infant formula vs the FDA safety limits of 20 µM for milk and 8.0 µM for infant formula), good repeatability and recoveries (87-108% for milk, 90-107% for formula). Particularly, the cell phone-like sensor was portable, simple (no any pretreatment), rapid (within 15 min), as well as low cost, to evaluate the quality of dairy products. The developed sensor has great potential in on-spot detection of melamine in dairy products as well as other analytes, at which we are testing in our lab.

Free-flow zone electrophoresis facilitated proteomics analysis of heterogeneous subpopulations in H1299 lung cancer cells.

Cancer cells are usually heterogeneous, whose subpopulations contain distinct biological information that related to their unique phenotype. However, preparative separating heterogeneous cells into subpopulations is very challenging, especially based on their surface charge status. Here, free-flow zone electrophoresis (FFZE) was employed to separate and fractionate lung cells. The experimental parameters for FFZE, including voltage, running speed, and buffer pH, were optimized and the optimized method was then implemented to separate MRC-5 and H1299 cells. Normal lung cells MRC-5 could be separated into one major peak and few minor peaks. For lung cancer cell line H1299, two major peaks and a few minor peaks were fractionated. Those prepared major peaks were subjected to quantitative proteomics analysis for heterogeneous subpopulation. For H1299 cells, 2076 proteins were identified in the first major peak, and 1398 proteins were revealed in the second major peak, which increased by 13% on average (n = 3) when compared to that of before FFZE fractionation. Furthermore, we found that H1299 cells in the first major peak have higher mobility than the cells in the second one. Many cell mobility and metastasis related proteins, such as RHBDF2, TRIM59, and ADAM17, were solely expressed in the first major peak of H1299 after FFZE, indicating our method can distinguish cancer cell subpopulations with higher metastatic phenotype. Our results showed that FFZE can effectively fractionate heterogeneous cell subpopulations, which might be used for the comprehensive analysis of unique phenotypes of different cancers.

Discovery of small extracellular vesicle proteins from human serum for liver cirrhosis and liver cancer.

Hepatocellular carcinoma (HCC) is a common neoplastic transformation of the hepatocytes, which has high morbidity and mortality worldwide, particularly in Eastern Asia. HCC is also developed as a consequence of chronic liver cirrhosis, and both diseases are difficult to diagnosis and differentiate. Accurate noninvasive biomarkers for HCC and cirrhosis are urgently needed. In the search for novel candidates, small extracellular vesicles (sEVs) were isolated from the serum of liver cancer patients, liver cirrhosis patients, healthy control subjects, as well as the culture media of hepatocellular carcinoma cells (HepG2) and normal hepatocyte cells (Lo2). Isolated sEVs were confirmed by size distribution analysis, morphological analysis, and surface biomarker tests. Mass spectrometry based label-free quantification revealed 61 and 63 differentially expressed proteins in the serum sEVs of liver cirrhosis patients and liver cancer patients (p < 0.05), respectively. The proteomics data of cell-derived sEVs were combined for the selection of valuable candidates. Promising proteins were further verified by immunoassay, including thrombospondin-1 (THBS1), fibulin-1(FBLN1), and fibrinogen gamma chain (FGG), which could differentiate healthy control from liver cancer or liver cirrhosis. Our findings verified the hypothesis that cancer-related proteomics signatures are present in the sEVs of patient's serum and might be monitored for the evaluation of liver cancer and liver cirrhosis.

Affinity chromatography assisted comprehensive phosphoproteomics analysis of human saliva for lung cancer.

Affinity chromatography is a powerful technology for phosphopeptide enrichment from body fluids. Saliva is a non-invasive body fluid for disease diagnosis, while few studies applied affinity enrichment for saliva phosphoproteome. In this study, we tested two kinds of affinity chromatography materials, Ti4+-IMAC (immobilized metal affinity chromatography) and CaTiO3, for the enrichment of phosphopeptides. Through comparison, Ti4+-IMAC method was demonstrated as the superior one, which was utilized for the comprehensive analysis of salivary phosphoproteome. More than 360 phosphoproteins were specifically extracted and identified from human saliva. Ti4+-IMAC method was further applied to compare the phosphoprotein profiling in the saliva of lung cancer group and normal control group through label-free quantification. Accordingly, 477 and 699 phosphopeptides were enriched, respectively, which corresponded to 339 and 466 proteins. In total, 796 unique phosphopeptides were revealed for 517 saliva phosphoproteins. In particular, 709 phosphorylation sites were identified, among which 26 were up-regulated (>1.5) and 149 were down-regulated (<0.66) in lung cancer. Their corresponding proteins were mainly associated with cancer promotion, system disorder, and organismal injury. Our data collectively demonstrated that salivary phosphopeptides can be comprehensively characterized through Ti4+-IMAC method. These discovered phosphoprotein candidates might be used for lung cancer detection through salivary diagnostics.