In-Depth Proteome Coverage by Improving Efficiency for Membrane Proteome Analysis

Although great achievement has been made in the mapping of human proteome, the efficiency of sample preparation still needs to be improved, especially for membrane proteins. Herein, we presented a novel method to deepen proteome coverage by the sequential extraction of proteins using urea and 1-dodecyl-3- methylimidazolium chloride (C12Im-Cl). With such a strategy, the commonly lost hydrophobic proteins by 8 M urea extraction could be further recovered by C12Im-Cl, as well as the suppression effect of high abundance soluble proteins could be decreased. Followed by the in situ sample preparation and separation with different stationary phases, more than 9810 gene products could be identified, covering 8 orders of magnitude in abundance, which was, to the best of our knowledge, the largest data set of HeLa cell proteome. Compared with previous work, not only the number of proteins identified was obviously increased, but also the analysis time was shortened to a few days. Therefore, we expect that such a strategy has great potential applications to achieve unprecedented coverage for proteome analysis

In-Depth Proteome Coverage by Improving Efficiency for Membrane Proteome Analysis

Although great achievement has been made in the mapping of human proteome, the efficiency of sample preparation still needs to be improved, especially for membrane proteins. Herein, we presented a novel method to deepen proteome coverage by the sequential extraction of proteins using urea and 1-dodecyl-3- methylimidazolium chloride (C12Im-Cl). With such a strategy, the commonly lost hydrophobic proteins by 8 M urea extraction could be further recovered by C12Im-Cl, as well as the suppression effect of high abundance soluble proteins could be decreased. Followed by the in situ sample preparation and separation with different stationary phases, more than 9810 gene products could be identified, covering 8 orders of magnitude in abundance, which was, to the best of our knowledge, the largest data set of HeLa cell proteome. Compared with previous work, not only the number of proteins identified was obviously increased, but also the analysis time was shortened to a few days. Therefore, we expect that such a strategy has great potential applications to achieve unprecedented coverage for proteome analysis

In-Depth Proteome Coverage by Improving Efficiency for Membrane Proteome Analysis

Although great achievement has been made in the mapping of human proteome, the efficiency of sample preparation still needs to be improved, especially for membrane proteins. Herein, we presented a novel method to deepen proteome coverage by the sequential extraction of proteins using urea and 1-dodecyl-3- methylimidazolium chloride (C12Im-Cl). With such a strategy, the commonly lost hydrophobic proteins by 8 M urea extraction could be further recovered by C12Im-Cl, as well as the suppression effect of high abundance soluble proteins could be decreased. Followed by the in situ sample preparation and separation with different stationary phases, more than 9810 gene products could be identified, covering 8 orders of magnitude in abundance, which was, to the best of our knowledge, the largest data set of HeLa cell proteome. Compared with previous work, not only the number of proteins identified was obviously increased, but also the analysis time was shortened to a few days. Therefore, we expect that such a strategy has great potential applications to achieve unprecedented coverage for proteome analysis

Hydrophobic Tagging-Assisted N‑Termini Enrichment for In-Depth N‑Terminome Analysis

The analysis of protein N-termini is of great importance for understanding the protein function and elucidating the proteolytic processing. Herein, we develop a negative enrichment strategy, termed as hydrophobic tagging-assisted N-termini enrichment (HYTANE) to achieve a global N-terminome analysis. The HYTANE strategy showed a high efficiency in hydrophobic tagging and C18 material-assisted depletion using bovine serum albumin (BSA) as the sample. This strategy was applied to N-termini profiling from <i>S. cerevisiae</i> cell lysates and enabled the identification of 1096 protein N-termini, representing the largest N-terminome data set of <i>S. cerevisiae</i>. The identified N-terminal peptides accounted for 99% of all identified peptides, and no deficiency in acidic, histidine (His)-containing, and His-free N-terminal peptides was observed. The presented HYTANE strategy is therefore a highly selective, efficient, and unbiased strategy for the large scale N-terminome analysis. Furthermore, using the HYTANE strategy, we identified 329 cleavage sites and 291 substrates of caspases in Jurkat cells, demonstrating the great promise of HYTANE strategy for protease research. Data are available via ProteomeXchange with identifier PXD004690

Biphasic Microreactor for Efficient Membrane Protein Pretreatment with a Combination of Formic Acid Assisted Solubilization, On-Column pH Adjustment, Reduction, Alkylation, and Tryptic Digestion

Combining good dissolving ability of formic acid (FA) for membrane proteins and excellent complementary retention behavior of proteins on strong cation exchange (SCX) and strong anion exchange (SAX) materials, a biphasic microreactor was established to pretreat membrane proteins at microgram and even nanogram levels. With membrane proteins solubilized by FA, all of the proteomics sample processing procedures, including protein preconcentration, pH adjustment, reduction, and alkylation, as well as tryptic digestion, were integrated into an “SCX-SAX” biphasic capillary column. To evaluate the performance of the developed microreactor, a mixture of bovine serum albumin, myoglobin, and cytochrome c was pretreated. Compared with the results obtained by the traditional in-solution process, the peptide recovery (93% vs 83%) and analysis throughput (3.5 vs 14 h) were obviously improved. The microreactor was further applied for the pretreatment of 14 μg of membrane proteins extracted from rat cerebellums, and 416 integral membrane proteins (IMPs) (43% of total protein groups) and 103 transmembrane peptides were identified by two-dimensional nanoliquid chromatography-electrospray ionization tandem mass spectrometry (2D nano-LC-ESI-MS/MS) in triplicate analysis. With the starting sample preparation amount decreased to as low as 50 ng, 64 IMPs and 17 transmembrane peptides were identified confidently, while those obtained by the traditional in-solution method were 10 and 1, respectively. All these results demonstrated that such an “SCX-SAX” based biphasic microreactor could offer a promising tool for the pretreatment of trace membrane proteins with high efficiency and throughput

Biphasic Microreactor for Efficient Membrane Protein Pretreatment with a Combination of Formic Acid Assisted Solubilization, On-Column pH Adjustment, Reduction, Alkylation, and Tryptic Digestion

Combining good dissolving ability of formic acid (FA) for membrane proteins and excellent complementary retention behavior of proteins on strong cation exchange (SCX) and strong anion exchange (SAX) materials, a biphasic microreactor was established to pretreat membrane proteins at microgram and even nanogram levels. With membrane proteins solubilized by FA, all of the proteomics sample processing procedures, including protein preconcentration, pH adjustment, reduction, and alkylation, as well as tryptic digestion, were integrated into an “SCX-SAX” biphasic capillary column. To evaluate the performance of the developed microreactor, a mixture of bovine serum albumin, myoglobin, and cytochrome c was pretreated. Compared with the results obtained by the traditional in-solution process, the peptide recovery (93% vs 83%) and analysis throughput (3.5 vs 14 h) were obviously improved. The microreactor was further applied for the pretreatment of 14 μg of membrane proteins extracted from rat cerebellums, and 416 integral membrane proteins (IMPs) (43% of total protein groups) and 103 transmembrane peptides were identified by two-dimensional nanoliquid chromatography-electrospray ionization tandem mass spectrometry (2D nano-LC-ESI-MS/MS) in triplicate analysis. With the starting sample preparation amount decreased to as low as 50 ng, 64 IMPs and 17 transmembrane peptides were identified confidently, while those obtained by the traditional in-solution method were 10 and 1, respectively. All these results demonstrated that such an “SCX-SAX” based biphasic microreactor could offer a promising tool for the pretreatment of trace membrane proteins with high efficiency and throughput

In-Depth Proteomic Quantification of Cell Secretome in Serum-Containing Conditioned Medium

Secreted proteins play key roles during cellular communication, proliferation, and migration. The comprehensive profiling of secreted proteins in serum-containing culture media is technically challenging. Most studies have been performed under serum-free conditions. However, these conditions might alter the status of the cells. Herein, we describe an efficient strategy that avoids the disturbance of serum by combining metabolic labeling, protein “equalization,” protein fractionation, and filter-aided sample preparation, called MLEFF, enabling the identification of 534 secreted proteins from HeLa conditioned media, including 31 cytokines, and growth factors. This MLEFF strategy was also successfully applied during a comparative secretome analysis of two human hepatocellular carcinoma cell lines with differentially metastatic potentials, enabling the quantification of 61 significantly changed proteins involved in tumor invasion and metastasis

In-Depth Proteomic Quantification of Cell Secretome in Serum-Containing Conditioned Medium

Secreted proteins play key roles during cellular communication, proliferation, and migration. The comprehensive profiling of secreted proteins in serum-containing culture media is technically challenging. Most studies have been performed under serum-free conditions. However, these conditions might alter the status of the cells. Herein, we describe an efficient strategy that avoids the disturbance of serum by combining metabolic labeling, protein “equalization,” protein fractionation, and filter-aided sample preparation, called MLEFF, enabling the identification of 534 secreted proteins from HeLa conditioned media, including 31 cytokines, and growth factors. This MLEFF strategy was also successfully applied during a comparative secretome analysis of two human hepatocellular carcinoma cell lines with differentially metastatic potentials, enabling the quantification of 61 significantly changed proteins involved in tumor invasion and metastasis

Aptamer Modified Organic–Inorganic Hybrid Silica Monolithic Capillary Columns for Highly Selective Recognition of Thrombin

A novel kind of aptamer modified organic–inorganic hybrid silica monolithic capillary column has been developed, via the covalent bonding of 5′-NH₂-modified aptamer for human α-thrombin on hybrid silica monolith, prepared by sol–gel method, with tetraethoxysilane and 3-aminopropyltriethoxysilane as precursors. Due to the large specific surface area of the hybrid matrix, the average coverage density of aptamer reached 568 pmol/μL, and the thrombin binding capacity was 1.15 μg/μL, 14 times higher than that of aptamer modified open tubular capillaries. By such an affinity capillary column, the limit of detection of thrombin was decreased to 3.4 nM with a UV detector. Furthermore, even when thrombin was mixed with 1000 times more concentrated human serum, it could be selectively enriched and detected with the signal-to-noise ratio as ca.10. These results indicate that the developed preparation strategy for aptamer based hybrid silica monolithic capillary column might provide an effective method to achieve highly selective recognition of trace targets