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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Many exceptional advances have been made in mass spectrometry (MS)-based proteomics, with particular technical progress in liquid chromatography (LC) ...

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Preparation of Carbon Fiber and Bamboo Fiber Reinforced Poly (butylene Adipate-co-terephthalate) Foams by Supercritical Carbon Dioxide Foaming

Fiber-reinforced polymer foams have found extensive applications across numerous fields. Particularly, poly (butylene adipate-co-terephthalate) (PBAT) has ...

St. Jude Children's Research Hospital

Northeast Forestry University Engineering Consulting and Design Research Institute Co., Ltd

Tumor metastasis remains the major cause of cancer-related death, but its molecular basis is still not well understood. Here we uncovered a splicing-mediated pathway that is essential for breast cancer metastasis. We show that the RNA-binding protein heterogeneous nuclear ribonucleoprotein M (hnRNPM) promotes breast cancer metastasis by activating the switch of alternative splicing that occurs during epithelial-mesenchymal transition (EMT). Genome-wide deep sequencing analysis suggests that hnRNPM potentiates TGFβ signaling and identifies CD44 as a key downstream target of hnRNPM. hnRNPM ablation prevents TGFβ-induced EMT and inhibits breast cancer metastasis in mice, whereas enforced expression of the specific CD44 standard (CD44s) splice isoform overrides the loss of hnRNPM and permits EMT and metastasis. Mechanistically, we demonstrate that the ubiquitously expressed hnRNPM acts in a mesenchymal-specific manner to precisely control CD44 splice isoform switching during EMT. This restricted cell-type activity of hnRNPM is achieved by competition with ESRP1, an epithelial splicing regulator that binds to the same cis-regulatory RNA elements as hnRNPM and is repressed during EMT. Importantly, hnRNPM is associated with aggressive breast cancer and correlates with increased CD44s in patient specimens. These findings demonstrate a novel molecular mechanism through which tumor metastasis is endowed by the hnRNPM-mediated splicing program.

Cell type-restricted activity of hnRNPM promotes breast cancer metastasis via regulating alternative splicing.

Ubiquitination is a versatile and dynamic posttranslational modification in cells, regulating almost all cellular events. With rapid developments of affinity capture reagents and high-resolution mass spectrometry, it is now feasible to globally analyze the ubiquitinated proteome (ubiquitome) using quantitative strategies, such as stable isotope labeling with amino acids in cell culture (SILAC). Here we describe in detail a SILAC protocol to profile the ubiquitome in mammalian cells including protein labeling, antibody-based enrichment, and analysis by mass spectrometry.

Global ubiquitination analysis by SILAC in mammalian cells.

Database search programs are essential tools for identifying peptides via mass spectrometry (MS) in shotgun proteomics. Simultaneously achieving high sensitivity and high specificity during a database search is crucial for improving proteome coverage. Here we present JUMP, a new hybrid database search program that generates amino acid tags and ranks peptide spectrum matches (PSMs) by an integrated score from the tags and pattern matching. In a typical run of liquid chromatography coupled with high-resolution tandem MS, more than 95% of MS/MS spectra can generate at least one tag, whereas the remaining spectra are usually too poor to derive genuine PSMs. To enhance search sensitivity, the JUMP program enables the use of tags as short as one amino acid. Using a target-decoy strategy, we compared JUMP with other programs (e.g. SEQUEST, Mascot, PEAKS DB, and InsPecT) in the analysis of multiple datasets and found that JUMP outperformed these preexisting programs. JUMP also permitted the analysis of multiple co-fragmented peptides from "mixture spectra" to further increase PSMs. In addition, JUMP-derived tags allowed partial de novo sequencing and facilitated the unambiguous assignment of modified residues. In summary, JUMP is an effective database search algorithm complementary to current search programs.

JUMP: a tag-based database search tool for peptide identification with high sensitivity and accuracy.

Alzheimer's disease (AD) is the most common form of dementia, characterized by progressive loss of cognitive function. One of the pathological hallmarks of AD is the formation of neurofibrillary tangles composed of abnormally hyperphosphorylated tau protein, but global deregulation of protein phosphorylation in AD is not well analyzed. Here, we report a pilot investigation of AD phosphoproteome by titanium dioxide enrichment coupled with high resolution LC-MS/MS. During the optimization of the enrichment method, we found that phosphate ion at a low concentration (e.g. 1 mM) worked efficiently as a nonphosphopeptide competitor to reduce background. The procedure was further tuned with respect to peptide-to-bead ratio, phosphopeptide recovery, and purity. Using this refined method and 9 h LC-MS/MS, we analyzed phosphoproteome in one milligram of digested AD brain lysate, identifying 5243 phosphopeptides containing 3715 nonredundant phosphosites on 1455 proteins, including 31 phosphosites on the tau protein. This modified enrichment method is simple and highly efficient. The AD case study demonstrates its feasibility of dissecting phosphoproteome in a limited amount of postmortem human brain. All MS data have been deposited in the ProteomeXchange with identifier PXD001180 (http://proteomecentral.proteomexchange.org/dataset/PXD001180).

Refined phosphopeptide enrichment by phosphate additive and the analysis of human brain phosphoproteome.

The development of high-resolution liquid chromatography (LC) is essential for improving the sensitivity and throughput of mass spectrometry (MS)-based proteomics. Here we present systematic optimization of a long gradient LC-MS/MS platform to enhance protein identification from a complex mixture. The platform employed an in-house fabricated, reverse-phase long column (100 μm × 150 cm, 5 μm C18 beads) coupled to Q Exactive MS. The column was capable of achieving a peak capacity of ∼700 in a 720 min gradient of 10-45% acetonitrile. The optimal loading level was ∼6 μg of peptides, although the column allowed loading as many as 20 μg. Gas-phase fractionation of peptide ions further increased the number of peptide identification by ∼10%. Moreover, the combination of basic pH LC prefractionation with the long gradient LC-MS/MS platform enabled the identification of 96,127 peptides and 10,544 proteins at 1% protein false discovery rate in a post-mortem brain sample of Alzheimer's disease. Because deep RNA sequencing of the same specimen suggested that ∼16,000 genes were expressed, the current analysis covered more than 60% of the expressed proteome. Further improvement strategies of the LC/LC-MS/MS platform were also discussed.

Systematic optimization of long gradient chromatography mass spectrometry for deep analysis of brain proteome.

Mass spectrometry is one of the most sensitive methods in analytical chemistry, and its application in proteomics has been rapidly expanded after sequencing the human genome. Mass spectrometry is now the mainstream approach for identification and quantification of proteins and posttranslational modifications, either in small scale or in the entire proteome. Shotgun proteomics can analyze up to 10,000 proteins in a comprehensive study, with detection sensitivity in the picogram range. In this chapter, we describe major experimental steps in a shotgun proteomics platform, including sample preparation in the context of studying protein-protein interaction, mass spectrometric data acquisition, and database search to identify proteins and posttranslational modification analysis. Proteome quantification strategies and bioinformatics analysis are also illustrated. Finally, we discuss the capabilities, limitations, and potential improvements of current platforms.

Quantitative protein analysis by mass spectrometry.

The mind bomb 1 (Mib1) ubiquitin ligase is essential for controlling metazoan development by Notch signaling and possibly the Wnt pathway. It is also expressed in postmitotic neurons and regulates neuronal morphogenesis and synaptic activity by mechanisms that are largely unknown. We sought to comprehensively characterize the Mib1 interactome and study its potential function in neuron development utilizing a novel sequential elution strategy for affinity purification, in which Mib1 binding proteins were eluted under different stringency and then quantified by the isobaric labeling method. The strategy identified the Mib1 interactome with both deep coverage and the ability to distinguish high-affinity partners from low-affinity partners. A total of 817 proteins were identified during the Mib1 affinity purification, including 56 high-affinity partners and 335 low-affinity partners, whereas the remaining 426 proteins are likely copurified contaminants or extremely weak binding proteins. The analysis detected all previously known Mib1-interacting proteins and revealed a large number of novel components involved in Notch and Wnt pathways, endocytosis and vesicle transport, the ubiquitin-proteasome system, cellular morphogenesis, and synaptic activities. Immunofluorescence studies further showed colocalization of Mib1 with five selected proteins: the Usp9x (FAM) deubiquitinating enzyme, alpha-, beta-, and delta-catenins, and CDKL5. Mutations of CDKL5 are associated with early infantile epileptic encephalopathy-2 (EIEE2), a severe form of mental retardation. We found that the expression of Mib1 down-regulated the protein level of CDKL5 by ubiquitination, and antagonized CDKL5 function during the formation of dendritic spines. Thus, the sequential elution strategy enables biochemical characterization of protein interactomes; and Mib1 analysis provides a comprehensive interactome for investigating its role in signaling networks and neuronal development.

Sequential Elution Interactome Analysis of the Mind Bomb 1 Ubiquitin Ligase Reveals a Novel Role in Dendritic Spine Outgrowth.

LC3-associated phagocytosis (LAP) is a process wherein elements of autophagy conjugate LC3 to phagosomal membranes. We characterize the molecular requirements for LAP, and identify Rubicon as being required for LAP but not autophagy. Rubicon is recruited to LAPosomes and is required for the activity of a Class III PI(3)K complex containing UVRAG but lacking ATG14 and Ambra1. This allows for the sustained localization of PtdIns(3)P, which is critical for recruitment of downstream autophagic proteins and stabilization of the NOX2 complex to produce reactive oxygen species. Both PtdIns(3)P and reactive oxygen species are required for conjugation of LC3 to LAPosomes and subsequent association with LAMP1(+) lysosomes. LAP is induced by engulfment of Aspergillus fumigatus, a fungal pathogen that commonly afflicts immunocompromised hosts, and is required for its optimal clearance in vivo. Therefore, we have identified molecules that distinguish LAP from canonical autophagy, thereby elucidating the importance of LAP in response to A. fumigatus infection.

Molecular characterization of LC3-associated phagocytosis reveals distinct roles for Rubicon, NOX2 and autophagy proteins.

Mass spectrometry-based proteomics has experienced an unprecedented advance in comprehensive analysis of proteins and posttranslational modifications, with particular technical progress in liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) and isobaric labeling multiplexing capacity. Here, we introduce a deep proteomics profiling protocol that combines 10-plex tandem mass tag (TMT) labeling with an optimized LC-MS/MS platform to quantitate whole proteome and phosphoproteome. The major steps include protein extraction and digestion, TMT labeling, two-dimensional liquid chromatography, TiO2-mediated phosphopeptide enrichment, high-resolution mass spectrometry, and computational data processing. This protocol routinely leads to confident quantification of more than 10,000 proteins and approximately 30,000 phosphosites in mammalian samples. Quality control steps are implemented for troubleshooting and evaluating experimental variation. Such a multiplexed robust method provides a powerful tool for dissecting proteomic signatures at the systems level in a variety of complex samples, ranging from cell culture, animal tissues to human clinical specimens.

Deep Profiling of Proteome and Phosphoproteome by Isobaric Labeling, Extensive Liquid Chromatography, and Mass Spectrometry.

The molecular circuits by which antigens activate quiescent T cells remain poorly understood. We combined temporal profiling of the whole proteome and phosphoproteome via multiplexed isobaric labeling proteomics technology, computational pipelines for integrating multi-omics datasets, and functional perturbation to systemically reconstruct regulatory networks underlying T cell activation. T cell receptors activated the T cell proteome and phosphoproteome with discrete kinetics, marked by early dynamics of phosphorylation and delayed ribosome biogenesis and mitochondrial activation. Systems biology analyses identified multiple functional modules, active kinases, transcription factors and connectivity between them, and mitochondrial pathways including mitoribosomes and complex IV. Genetic perturbation revealed physiological roles for mitochondrial enzyme COX10-mediated oxidative phosphorylation in T cell quiescence exit. Our multi-layer proteomics profiling, integrative network analysis, and functional studies define landscapes of the T cell proteome and phosphoproteome and reveal signaling and bioenergetics pathways that mediate lymphocyte exit from quiescence.

Integrative Proteomics and Phosphoproteomics Profiling Reveals Dynamic Signaling Networks and Bioenergetics Pathways Underlying T Cell Activation.

Protein phosphorylation regulates brain development and neuronal activities; and dysregulation of phosphorylation contributes to neurobiological disorders. Phosphoproteomic analysis provides comprehensive modification maps for measuring protein activities in cellular pathways and biological processes. Here, we introduce a mass spectrometry (MS)-based protocol to quantitatively analyze the phosphoproteome of human postmortem brains of Alzheimer's disease. In this isobaric labeling protocol, up to ten brain samples are selected from control and diseased cases for comparison. Approximately 1 mg proteins per sample are extracted, digested, labeled, and then mixed at an equal ratio. To improve the coverage of phosphoproteome, the peptide mix is further fractionated by offline basic pH reversed-phase liquid chromatography (LC) with high-resolution power. Phosphopeptides in each fraction are then enriched by the titanium dioxide method and analyzed by online acidic pH reverse phase LC-MS/MS, leading to the analysis of tens of thousands of phosphorylation events. This protocol can also be adapted to profile phosphoproteome in other biological samples.

ArticleTotal : 2	Year
Publication title	2017
Publication title	2025

Article	Year
Cell type-restricted activity of hnRNPM promotes breast cancer metastasis via regulating alternative splicing. Genes & development\| PubMed ID: 24840202	2014
Global ubiquitination analysis by SILAC in mammalian cells. Methods in molecular biology (Clifton, N.J.)\| PubMed ID: 25059610	2014
JUMP: a tag-based database search tool for peptide identification with high sensitivity and accuracy. Molecular & cellular proteomics : MCP\| PubMed ID: 25202125	2014
Refined phosphopeptide enrichment by phosphate additive and the analysis of human brain phosphoproteome. Proteomics\| PubMed ID: 25307156	2015
Systematic optimization of long gradient chromatography mass spectrometry for deep analysis of brain proteome. Journal of proteome research\| PubMed ID: 25455107	2015
Quantitative protein analysis by mass spectrometry. Methods in molecular biology (Clifton, N.J.)\| PubMed ID: 25859956	2015
Sequential Elution Interactome Analysis of the Mind Bomb 1 Ubiquitin Ligase Reveals a Novel Role in Dendritic Spine Outgrowth. Molecular & cellular proteomics : MCP\| PubMed ID: 25931508	2015
Molecular characterization of LC3-associated phagocytosis reveals distinct roles for Rubicon, NOX2 and autophagy proteins. Nature cell biology\| PubMed ID: 26098576	2015
Deep Profiling of Proteome and Phosphoproteome by Isobaric Labeling, Extensive Liquid Chromatography, and Mass Spectrometry. Methods in enzymology\| PubMed ID: 28109439	2017
Integrative Proteomics and Phosphoproteomics Profiling Reveals Dynamic Signaling Networks and Bioenergetics Pathways Underlying T Cell Activation. Immunity\| PubMed ID: 28285833	2017
Quantitative Phosphoproteomic Analysis of Brain Tissues. Methods in molecular biology (Clifton, N.J.)\| PubMed ID: 28508362	2017

Haiyan Tan

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