A fast sample processing strategy for large-scale profiling of human urine phosphoproteome by mass spectrometry

A bimetallic peroxidase-mimicking nanozyme with antifouling property for construction of sensor array to identify phosphoproteins and diagnose cancers

Protein phosphorylation is a significant post-translational modification that plays a decisive role in the occurrence and development of diseases. However, the rapid and accurate identification of phosphoproteins remains challenging. Herein, a high-throughput sensor array has been constructed based on a magnetic bimetallic nanozyme (Fe3O4@ZNP@UiO-66) for the identification and discrimination of phosphoproteins. Attributing to the formation of Fe-Zr bimetallic dual active centers, the as-prepared Fe3O4@ZNP@UiO-66 exhibits enhanced peroxidase-mimicking catalytic activity, which promotes the electron transfer from Zr center to Fe(II)/Fe(III). The catalytic activity of Fe3O4@ZNP@UiO-66 can be selectively inhibited by phosphoproteins due to the strong interaction between phosphate groups and Zr centers, as well as the ultra-robust antifouling capability of zwitterionic dopamine nanoparticle (ZNP). Considering the diverse binding affinities between various proteins with the nanozyme, the catalytic activity of Fe3O4@ZNP@UiO-66 can be changed to various degree, leading to the different absorption responses at 420 nm in the hydrogen peroxide (H2O2) - 2, 2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) system. By simply extracting different absorbance intensities at various time points, a sensor array based on reaction kinetics for the discrimination of phosphoproteins from other proteins is constructed through linear discriminant analysis (LDA). Besides, the quantitative determination of phosphoproteins and identification of protein mixtures have been realized. Further, based on the differential level of phosphoproteins in cells, the differentiation of cancer cells from normal cells can also be implemented by utilizing the proposed sensor array, showing great potential in disease diagnosis.

Advances and Trends in Omics Technology Development

The human history has witnessed the rapid development of technologies such as high-throughput sequencing and mass spectrometry that led to the concept of “omics” and methodological advancement in systematically interrogating a cellular system. Yet, the ever-growing types of molecules and regulatory mechanisms being discovered have been persistently transforming our understandings on the cellular machinery. This renders cell omics seemingly, like the universe, expand with no limit and our goal toward the complete harness of the cellular system merely impossible. Therefore, it is imperative to review what has been done and is being done to predict what can be done toward the translation of omics information to disease control with minimal cell perturbation. With a focus on the “four big omics,” i.e., genomics, transcriptomics, proteomics, metabolomics, we delineate hierarchies of these omics together with their epiomics and interactomics, and review technologies developed for interrogation. We predict, among others, redoxomics as an emerging omics layer that views cell decision toward the physiological or pathological state as a fine-tuned redox balance.

Development of dual-ligand titanium (IV) hydrophilic network sorbent for highly selective enrichment of phosphopeptides

A hydrophilic metal-organic network based on Ti⁴⁺ and dual natural ligand, tannic acid (TA) and phytic acid (PA), has been developed to enrich phosphopeptides from complex bio-samples prior to liquid chromatography-mass spectrometric analysis. Due to the strong chelation ability of TA and PA, abundant Ti⁴⁺ can be immobilized in the material, forming hydrophilic network by one-step coordination-driven self-assembly approach. The sorbent, TA-Ti-PA@Fe₃O₄, exhibited satisfactory selectivity for the phosphopeptides in the tryptic digest of β-casein, and can eliminate the interference components in 1000-fold excess of bovine serum albumin. The adsorption capacity of the sorbents for phosphopeptides was up to 35.2 mg g^-1 and the adsorbing equilibrium can be reached in 5 min. The adsorbing mechanism has been investigated and the results indicated that the Ti⁴⁺ in forms of [Ti(f-TA)(H₂O)₄]²⁺, [Ti(f-PA)(H₂O)₄]²⁺ and Ti(f-PA)₂(H₂O)₂ may play an important role in the adsorption process. The sorbent of the TA-Ti-PA@Fe₃O₄ has been applied to enrichment of the phosphopeptides in tryptic digest of rat liver lysate, and 3408 phosphopeptides have been identified, while the numbers of the identified phosphopeptides were 2730 and 1217 when the sample was enriched by the commercial TiO₂ and Fe³⁺-IMAC kit, respectively. This work provides a strategy to enrich phosphopeptides from complex samples and shows great potential application in phosphoproteome research.

Phosphoproteomic strategies in cancer research: a minireview

Understanding the cellular processes is central to comprehend disease conditions and is also true for cancer research. Proteomic studies provide significant insight into cancer mechanisms and aid in the diagnosis and prognosis of the disease. Phosphoproteome is one of the most studied complements of the whole proteome given its importance in the understanding of cellular processes such as signaling and regulations. Over the last decade, several new methods have been developed for phosphoproteome analysis. A significant amount of these efforts pertains to cancer research. The current use of powerful analytical instruments in phosphoproteomic approaches has paved the way for deeper and sensitive investigations. However, these methods and techniques need further improvements to deal with challenges posed by the complexity of samples and scarcity of phosphoproteins in the whole proteome, throughput and reproducibility. This review aims to provide a comprehensive summary of the variety of steps used in phosphoproteomic methods applied in cancer research including the enrichment and fractionation strategies. This will allow researchers to evaluate and choose a better combination of steps for their phosphoproteome studies.

Ionic liquid-assisted protein extraction method for plant phosphoproteome analysis

Protein phosphorylation is one of the most important post-translational modifications (PTM) and plays critical roles in maintaining many biological processes of plant species, such as being a significant signal related to resistance to tobacco mosaic virus (TMV) infection in tobacco. Compared to other organisms, in-depth profiling of plant phosphoproteome remains challenging due to the harsh extraction environment of plant proteins and low abundance of plant phosphorylation, generally requiring large amount of plant materials. Herein, we developed an integrated strategy for efficient sample preparation of amounts of plant tissues, by integrating ionic liquid (IL)-assisted protein extraction, in-solution digestion, precipitation-assisted IL removal, as well as immobilized metal ion affinity chromatography (IMAC) enrichment of phosphopeptides together. In this strategy, to improve the efficiency of protein extraction and enzymatic digestion, IL of 1-dodecyl-3-methylimidazolium chloride (C12Im-Cl) was used as the solubilizer due to its excellent solubilizing ability and enzyme compatibility demonstrated in our previous work. Briefly, the extraction capability of C12Im-Cl for protein amount from tobacco leaves was improved 1.9-fold compared to the commonly used urea-assisted method. Notably, to avoid its interference with subsequent LC-MS analysis, the IL was easily removed from the peptide solution by our proposed ion substitution-mediated C12Im + precipitation strategy with high efficiency. By handling 10 mg of starting protein materials of tobacco leaves, 14,441 unique phosphopeptides, assigned to 5153 unique phosphoproteins were confidently identified. To the best of our knowledge, this was the most comprehensive phosphorylation dataset for tobacco so far. All the results demonstrated our strategy was of great potential to promote the large-scale analysis of plant phosphoproteome.