Concurrent quantification of proteome and phosphoproteome to reveal system-wide association of protein phosphorylation and gene expression

Nuclear translocation of cleaved PCDH9 impairs gastric cancer metastasis by downregulating CDH2 expression

Loss of Protocadherin 9 (PCDH9) is associated with the metastasis and the prognosis of gastric cancer patients, while the molecular mechanism of PCDH9-impaired gastric cancer metastasis remains unclear. Here we show that PCDH9 is cleaved in gastric cancer cells. Intracellular domain of PCDH9 translocates into nucleus, where it interacts with DNA methyltransferase 1 (DNMT1) and increases DNMT1 activity. Activated DNMT1 downregulates cadherin 2 (CDH2) expression by increasing DNA methylation at its promoter, thereby dampening the migration and in vivo metastasis of gastric cancer cells. In addition, the levels of nuclear PCDH9 correlate with CDH2 expression, lymph node metastasis, and the prognosis of gastric cancer patients. Our finding demonstrates a unique mechanism of nuclear PCDH9-impaired gastric cancer metastasis by promoting DNA methylation of CDH2 promoter.

Lysyl oxidase-like 3 restrains mitochondrial ferroptosis to promote liver cancer chemoresistance by stabilizing dihydroorotate dehydrogenase

To overcome chemotherapy resistance, novel strategies sensitizing cancer cells to chemotherapy are required. Here, we screen the lysyl-oxidase (LOX) family to clarify its contribution to chemotherapy resistance in liver cancer. LOXL3 depletion significantly sensitizes liver cancer cells to Oxaliplatin by inducing ferroptosis. Chemotherapy-activated EGFR signaling drives LOXL3 to interact with TOM20, causing it to be hijacked into mitochondria, where LOXL3 lysyl-oxidase activity is reinforced by phosphorylation at S704. Metabolic adenylate kinase 2 (AK2) directly phosphorylates LOXL3-S704. Phosphorylated LOXL3-S704 targets dihydroorotate dehydrogenase (DHODH) and stabilizes it by preventing its ubiquitin-mediated proteasomal degradation. K344-deubiquitinated DHODH accumulates in mitochondria, in turn inhibiting chemotherapy-induced mitochondrial ferroptosis. CRISPR-Cas9-mediated site-mutation of mouse LOXL3-S704 to D704 causes a reduction in lipid peroxidation. Using an advanced liver cancer mouse model, we further reveal that low-dose Oxaliplatin in combination with the DHODH-inhibitor Leflunomide effectively inhibit liver cancer progression by inducing ferroptosis, with increased chemotherapy sensitivity and decreased chemotherapy toxicity.

Fructose-1,6-bisphosphatase 1 dephosphorylates IκBα and suppresses colorectal tumorigenesis

Emerging evidence demonstrates that some metabolic enzymes that phosphorylate soluble metabolites can also phosphorylate a variety of protein substrates as protein kinases to regulate cell cycle, apoptosis and many other fundamental cellular processes. However, whether a metabolic enzyme dephosphorylates protein as a protein phosphatase remains unknown. Here we reveal the gluconeogenic enzyme fructose 1,6-biphosphatase 1 (FBP1) that catalyzes the hydrolysis of fructose 1,6-bisphosphate (F-1,6-BP) to fructose 6-phosphate (F-6-P) as a protein phosphatase by performing a high-throughput screening of metabolic phosphatases with molecular docking followed by molecular dynamics (MD) simulations. Moreover, we identify IκBα as the substrate of FBP1-mediated dephosphorylation by performing phosphoproteomic analysis. Mechanistically, FBP1 directly interacts with and dephosphorylates the serine (S) 32/36 of IκBα upon TNFα stimulation, thereby inhibiting NF-κB activation. MD simulations indicate that the catalytic mechanism of FBP1-mediated IκBα dephosphorylation is similar to F-1,6-BP dephosphorylation, except for higher energetic barriers for IκBα dephosphorylation. Functionally, FBP1-dependent NF-κB inactivation suppresses colorectal tumorigenesis by sensitizing tumor cells to inflammatory stresses and preventing the mobilization of myeloid-derived suppressor cells. Our finding reveals a previously unrecognized role of FBP1 as a protein phosphatase and establishes the critical role of FBP1-mediated IκBα dephosphorylation in colorectal tumorigenesis.

MAPK signalling-induced phosphorylation and subcellular translocation of PDHE1α promotes tumour immune evasion

Tumour cells utilize multiple strategies to evade the immune system, but the underlying metabolic mechanisms remain poorly understood. The pyruvate dehydrogenase (PDH) complex converts pyruvate to acetyl-coenzyme A in mitochondria, thereby linking glycolysis to the ricarboxylic acid cycle. Here we show that the PDH complex E1 subunit α (PDHE1α) is also located in the cytosol. Cytosolic PDHE1α interacts with IKKβ and protein phosphatase 1B, thereby facilitating the inhibition of the NF-κB pathway. Cytosolic PDHE1α can be phosphorylated at S327 by ERK2 and translocated into mitochondria. Decreased cytosolic PDHE1α levels restore NF-κB signalling, whereas increased mitochondrial PDHE1α levels drive α-ketoglutarate production and promote reactive oxygen species detoxification. Synergistic activation of NF-κB and reactive oxygen species detoxification promotes tumour cell survival and enhances resistance to cytotoxic lymphocytes. Consistently, low levels of PDHE1α phosphorylation are associated with poor prognosis of patients with lung cancer. Our findings show a mechanism through which phosphorylation-dependent subcellular translocation of PDHE1α promotes tumour immune evasion.

Cul4A-DDB1-mediated monoubiquitination of phosphoglycerate dehydrogenase promotes colorectal cancer metastasis via increased S-adenosylmethionine

Although serine metabolism plays a crucial role in the proliferation and survival of tumor cells, how it supports tumor cell migration remains poorly understood. Phosphoglycerate dehydrogenase (PHGDH) catalyzes the oxidation of 3-phosphoglycerate to 3-phosphonooxypyruvate, the first committed step in de novo serine biosynthesis. Here we show that PHGDH was monoubiquitinated by cullin 4A-based E3 ligase complex at lysine 146 in colorectal cancer (CRC) cells, which enhanced PHGDH activity by recruiting a chaperone protein, DnaJ homolog subfamily A member 1, to promote its tetrameric formation, thereby increasing the levels of serine, glycine, and S-adenosylmethionine (SAM). Increased levels of SAM upregulated the expression of cell adhesion genes (laminin subunit gamma 2 and cysteine rich angiogenic inducer 61) by initiating SET domain containing 1A-mediated trimethylation of histone H3K4, thereby promoting tumor cell migration and CRC metastasis. Intriguingly, SAM levels in tumors or blood samples correlated with the metastatic recurrence of patients with CRC. Our finding not only reveals a potentially new role and mechanism of SAM-promoted tumor metastasis but also demonstrates a regulatory mechanism of PHGDH activity by monoubiquitination.

Integrated Quantitative Phosphoproteomics and Cell-based Functional Screening Reveals Specific Pathological Cardiac Hypertrophy-related Phosphorylation Sites

Cardiac hypertrophic signaling cascades resulting in heart failure diseases are mediated by protein phosphorylation. Recent developments in mass spectrometry-based phosphoproteomics have led to the identification of thousands of differentially phosphorylated proteins and their phosphorylation sites. However, functional studies of these differentially phosphorylated proteins have not been conducted in a large-scale or high-throughput manner due to a lack of methods capable of revealing the functional relevance of each phosphorylation site. In this study, an integrated approach combining quantitative phosphoproteomics and cell-based functional screening using phosphorylation competition peptides was developed. A pathological cardiac hypertrophy model, junctate-1 transgenic mice and control mice, were analyzed using label-free quantitative phosphoproteomics to identify differentially phosphorylated proteins and sites. A cell-based functional assay system measuring hypertrophic cell growth of neonatal rat ventricle cardiomyocytes (NRVMs) following phenylephrine treatment was applied, and changes in phosphorylation of individual differentially phosphorylated sites were induced by incorporation of phosphorylation competition peptides conjugated with cell-penetrating peptides. Cell-based functional screening against 18 selected phosphorylation sites identified three phosphorylation sites (Ser-98, Ser-179 of Ldb3, and Ser-1146 of palladin) displaying near-complete inhibition of cardiac hypertrophic growth of NRVMs. Changes in phosphorylation levels of Ser-98 and Ser-179 in Ldb3 were further confirmed in NRVMs and other pathological/physiological hypertrophy models, including transverse aortic constriction and swimming models, using site-specific phospho-antibodies. Our integrated approach can be used to identify functionally important phosphorylation sites among differentially phosphorylated sites, and unlike conventional approaches, it is easily applicable for large-scale and/or high-throughput analyses.

Data-independent acquisition-based proteome and phosphoproteome profiling across six melanoma cell lines reveals determinants of proteotypes

Human cancer cell lines are widely used in pharmacological and systems biological studies. The rapid documentation of the steady-state gene expression landscape of the cells used in a particular experiment may help to improve the reproducibility of scientific research. Here we applied a data-independent acquisition mass spectrometry (DIA-MS) method, coupled with a peptide spectral-library-free data analysis workflow, to measure both the proteome and phosphoproteome of a melanoma cell line panel with different metastatic properties. For each cell line, the single-shot DIA-MS detected 8100 proteins and almost 40 000 phosphopeptides in the respective measurements of two hours. Benchmarking the DIA-MS data towards the RNA-seq data and tandem mass tag (TMT)-MS results from the same set of cell lines demonstrated comparable qualitative coverage and quantitative reproducibility. Our data confirmed the high but complex mRNA-protein and protein-phospsite correlations. The results successfully established DIA-MS as a strong and competitive proteotyping approach for cell lines. The data further showed that all subunits of the glycosylphosphatidylinositol (GPI)-anchor transamidase complex were overexpressed in metastatic melanoma cells and identified altered phosphoprotein modules such as the BAF complex and mRNA splicing between metastatic and primary cells. This study provides a high-quality resource for calibrating DIA-MS performance, benchmarking DIA bioinformatic algorithms, and exploring the metastatic proteotypes in melanoma cells.

α-Ketoglutarate-Activated NF-κB Signaling Promotes Compensatory Glucose Uptake and Brain Tumor Development

The rapid proliferation of cancer cells and dysregulated vasculature within the tumor leads to limited nutrient accessibility. Cancer cells often rewire their metabolic pathways for adaption to nutrient stress, and the underlying mechanism remains largely unknown. Glutamate dehydrogenase 1 (GDH1) is a key enzyme in glutaminolysis that converts glutamate to α-ketoglutarate (α-KG). Here, we show that, under low glucose, GDH1 is phosphorylated at serine (S) 384 and interacts with RelA and IKKβ. GDH1-produced α-KG directly binds to and activates IKKβ and nuclear factor κB (NF-κB) signaling, which promotes glucose uptake and tumor cell survival by upregulating GLUT1, thereby accelerating gliomagenesis. In addition, GDH1 S384 phosphorylation correlates with the malignancy and prognosis of human glioblastoma. Our finding reveals a unique role of α-KG to directly regulate signal pathway, uncovers a distinct mechanism of metabolite-mediated NF-κB activation, and also establishes the critical role of α-KG-activated NF-κB in brain tumor development.

UDP-glucose accelerates SNAI1 mRNA decay and impairs lung cancer metastasis

Cancer metastasis is the primary cause of morbidity and mortality, and accounts for up to 95% of cancer-related deaths1. Cancer cells often reprogram their metabolism to efficiently support cell proliferation and survival2,3. However, whether and how those metabolic alterations contribute to the migration of tumour cells remain largely unknown. UDP-glucose 6-dehydrogenase (UGDH) is a key enzyme in the uronic acid pathway, and converts UDP-glucose to UDP-glucuronic acid4. Here we show that, after activation of EGFR, UGDH is phosphorylated at tyrosine 473 in human lung cancer cells. Phosphorylated UGDH interacts with Hu antigen R (HuR) and converts UDP-glucose to UDP-glucuronic acid, which attenuates the UDP-glucose-mediated inhibition of the association of HuR with SNAI1 mRNA and therefore enhances the stability of SNAI1 mRNA. Increased production of SNAIL initiates the epithelial-mesenchymal transition, thus promoting the migration of tumour cells and lung cancer metastasis. In addition, phosphorylation of UGDH at tyrosine 473 correlates with metastatic recurrence and poor prognosis of patients with lung cancer. Our findings reveal a tumour-suppressive role of UDP-glucose in lung cancer metastasis and uncover a mechanism by which UGDH promotes tumour metastasis by increasing the stability of SNAI1 mRNA.

Temporal characterization of the non-structural Adenovirus type 2 proteome and phosphoproteome using high-resolving mass spectrometry

The proteome and phosphoproteome of non-structural proteins of Adenovirus type 2 (Ad2) were time resolved using a developed mass spectrometry approach. These proteins are expressed by the viral genome and important for the infection process, but not part of the virus particle. We unambiguously confirm the existence of 95% of the viral proteins predicted to be encoded by the viral genome. Most non-structural proteins peaked in expression at late time post infection. We identified 27 non-redundant sites of phosphorylation on seven different non-structural proteins. The most heavily phosphorylated protein was the DNA binding protein (DBP) with 15 different sites. The phosphorylation occupancy rate could be calculated and monitored with time post infection for 15 phosphorylated sites on various proteins. In the DBP, phosphorylations with time-dependent relation were observed. The findings show the complexity of the Ad2 non-structural proteins and opens up a discussion for potential new drug targets.

Nuclear phosphoproteome analysis of 3T3-L1 preadipocyte differentiation reveals system-wide phosphorylation of transcriptional regulators

Adipocytes (fat cells) are important endocrine and metabolic cells critical for systemic insulin sensitivity. Both adipose excess and insufficiency are associated with adverse metabolic function. Adipogenesis is the process whereby preadipocyte precursor cells differentiate into lipid-laden mature adipocytes. This process is driven by a network of transcriptional regulators (TRs). We hypothesized that protein PTMs, in particular phosphorylation, play a major role in activating and propagating signals within TR networks upon induction of adipogenesis by extracellular stimulus. We applied MS-based quantitative proteomics and phosphoproteomics to monitor the alteration of nuclear proteins during the early stages (4 h) of preadipocyte differentiation. We identified a total of 4072 proteins including 2434 phosphorylated proteins, a majority of which were assigned as regulators of gene expression. Our results demonstrate that adipogenic stimuli increase the nuclear abundance and/or the phosphorylation levels of proteins involved in gene expression, cell organization, and oxidation-reduction pathways. Furthermore, proteins acting as negative modulators involved in negative regulation of gene expression, insulin stimulated glucose uptake, and cytoskeletal organization showed a decrease in their nuclear abundance and/or phosphorylation levels during the first 4 h of adipogenesis. Among 288 identified TRs, 49 were regulated within 4 h of adipogenic stimulation including several known and many novel potential adipogenic regulators. We created a kinase-substrate database for 3T3-L1 preadipocytes by investigating the relationship between protein kinases and protein phosphorylation sites identified in our dataset. A majority of the putative protein kinases belong to the cyclin-dependent kinase family and the mitogen-activated protein kinase family including P38 and c-Jun N-terminal kinases, suggesting that these kinases act as orchestrators of early adipogenesis.

Two Birds with One Stone: Parallel Quantification of Proteome and Phosphoproteome Using iTRAQ

Altered and abnormal levels of proteins and their phosphorylation states are associated with many disorders. Detection and quantification of such perturbations may provide a better understanding of pathological conditions and help finding candidates for treatment or biomarkers. Over the years, isobaric mass tags for relative quantification of proteins and protein phosphorylation by mass spectrometry have become increasingly popular. One of the most commonly used isobaric chemical tags is iTRAQ (isobaric tag for relative and absolute quantitation). In a typical iTRAQ-8plex experiment, a multiplexed sample amounts for up to 800 μg of peptides. Using state-of-the-art LC-MS approaches, only a fraction (~5 %) of such a sample is required to generate comprehensive quantitative data on the global proteome level, so that the bulk of the sample can be simultaneously used for quantitative phosphoproteomics. Here, we provide a simple and straightforward protocol to perform quantitative analyses of both proteome and phosphoproteome from the same sample using iTRAQ.

Evaluation of protein phosphorylation during adipogenesis

Adipocyte differentiation is a complex process that involves the sequential expression of various adipocyte-specific genes controlled by signaling pathways and transcription factors for which phosphorylation plays a crucial regulatory role. CCAAT/enhancer-binding proteins and peroxisome proliferator-activated receptors are the most important transcriptional regulators in adipogenesis, and the functions of these proteins are regulated by various phosphorylation events. Because cultured 3T3-L1 preadipocytes are commonly used as a model for adipocyte differentiation, we used these cells for a proteomic analysis to identify kinases, phosphatases, and phosphosites that participate in adipogenesis. In addition to the phosphoproteomic analysis, we provide a detailed description of Western blotting, an in vitro phosphorylation assay, enzyme-linked immunosorbent assay, and phosphorylation site mutagenesis to fully characterize the phosphorylation of proteins and verify their roles in adipogenesis.

How reliable is the linear noise approximation of gene regulatory networks?

Background

The linear noise approximation (LNA) is commonly used to predict how noise is regulated and exploited at the cellular level. These predictions are exact for reaction networks composed exclusively of first order reactions or for networks involving bimolecular reactions and large numbers of molecules. It is however well known that gene regulation involves bimolecular interactions with molecule numbers as small as a single copy of a particular gene. It is therefore questionable how reliable are the LNA predictions for these systems.

Results

We implement in the software package intrinsic Noise Analyzer (iNA), a system size expansion based method which calculates the mean concentrations and the variances of the fluctuations to an order of accuracy higher than the LNA. We then use iNA to explore the parametric dependence of the Fano factors and of the coefficients of variation of the mRNA and protein fluctuations in models of genetic networks involving nonlinear protein degradation, post-transcriptional, post-translational and negative feedback regulation. We find that the LNA can significantly underestimate the amplitude and period of noise-induced oscillations in genetic oscillators. We also identify cases where the LNA predicts that noise levels can be optimized by tuning a bimolecular rate constant whereas our method shows that no such regulation is possible. All our results are confirmed by stochastic simulations.

Conclusion

The software iNA allows the investigation of parameter regimes where the LNA fares well and where it does not. We have shown that the parametric dependence of the coefficients of variation and Fano factors for common gene regulatory networks is better described by including terms of higher order than LNA in the system size expansion. This analysis is considerably faster than stochastic simulations due to the extensive ensemble averaging needed to obtain statistically meaningful results. Hence iNA is well suited for performing computationally efficient and quantitative studies of intrinsic noise in gene regulatory networks.

Enhanced detection of multiply phosphorylated peptides and identification of their sites of modification

Phosphorylation is an important post-translational modification that rapidly mediates many cellular events. A key to understanding the dynamics of the phosphoproteome is localization of the modification site(s), primarily determined using LC-MS/MS. A major technical challenge to analysis is the formation of phosphopeptide-metal ion complexes during LC which hampers phosphopeptide detection. We have devised a strategy that enhances analysis of phosphopeptides, especially multiply phosphorylated peptides. It involves treatment of the LC system with EDTA and 2D-RP/RP-nanoUPLC-MS/MS (high pH/low pH) analysis. A standard triphosphorylated peptide that could not be detected with 1D-RP-nanoUPLC-MS/MS, even if the column was treated with EDTA-Na2 or if 25 mM EDTA-Na2 was added to the sample, was detectable at less than 100 fmol using EDTA-2D-RP/RP-nanoUPLC-MS/MS. Digests of α-casein and ß-casein were analyzed by EDTA-1D-RP-nanoUPLC, 2D-RP/RP-nanoUPLC, and EDTA-2D-RP/RP-nanoUPLC to compare their performance in phosphopeptide analysis. With the first two approaches, no tri- and tetraphosphopeptides were identified in either α- or ß-casein sample. With the EDTA-2D-RP/RP approach, 13 mono-, 6 di-, and 3 triphosphopeptides were identified in the α-casein sample, while 19 mono-, 8 di-, 4 tri-, and 3 tetraphosphopeptides were identified in the ß-casein sample. Using EDTA-2D-RP/RP-nanoUPLC-MS/MS to examine 500 μg of a human foreskin fibroblast cell lysate a total of 1,944 unique phosphopeptides from 1,087 unique phosphoproteins were identified, and 2,164 unique phosphorylation sites were confidently localized (Ascore ≥20). Of these sites 79% were mono-, 20% di-, and ∼1% were tri- and tetraphosphopeptides, and 78 novel phosphorylation sites in human proteins were identified.

Regulation of yeast central metabolism by enzyme phosphorylation

As a frequent post-translational modification, protein phosphorylation regulates many cellular processes. Although several hundred phosphorylation sites have been mapped to metabolic enzymes in Saccharomyces cerevisiae, functionality was demonstrated for few of them. Here, we describe a novel approach to identify in vivo functionality of enzyme phosphorylation by combining flux analysis with proteomics and phosphoproteomics. Focusing on the network of 204 enzymes that constitute the yeast central carbon and amino-acid metabolism, we combined protein and phosphoprotein levels to identify 35 enzymes that change their degree of phosphorylation during growth under five conditions. Correlations between previously determined intracellular fluxes and phosphoprotein abundances provided first functional evidence for five novel phosphoregulated enzymes in this network, adding to nine known phosphoenzymes. For the pyruvate dehydrogenase complex E1 α subunit Pda1 and the newly identified phosphoregulated glycerol-3-phosphate dehydrogenase Gpd1 and phosphofructose-1-kinase complex β subunit Pfk2, we then validated functionality of specific phosphosites through absolute peptide quantification by targeted mass spectrometry, metabolomics and physiological flux analysis in mutants with genetically removed phosphosites. These results demonstrate the role of phosphorylation in controlling the metabolic flux realised by these three enzymes.

Proteomic profiling of lipid droplet-associated proteins in primary adipocytes of normal and obese mouse

Lipid droplets in adipocytes serve as the principal long-term energy storage depot of animals. There is increasing recognition that lipid droplets are not merely a static neutral lipid storage site, but in fact dynamic and multi-functional organelles. Structurally, lipid droplet consists of a neutral lipid core surrounded by a phospholipid monolayer and proteins embedded in or bound to the phospholipid layer. Proteins on the surface of lipid droplets are crucial to droplet structure and dynamics. To understand the lipid droplet-associated proteome of primary adipocyte with a large central lipid droplet, lipid droplets of white adipose tissue from C57BL/6 mice were isolated. And the proteins were extracted and analyzed by liquid chromatography coupled with tandem mass spectrometry. A total of 193 proteins including 73 previously unreported proteins were identified. Furthermore, the isotope-coded affinity tags (ICAT) was used to compare the difference of lipid droplet-associated proteomes between the normal lean and the high-fat diet-induced obese C57BL/6 mice. Of 23 proteins quantified by ICAT analysis, 3 proteins were up-regulated and 4 proteins were down-regulated in the lipid droplets of adipose tissue from the obese mice. Importantly, two structural proteins of lipid droplets, perilipin A and vimentin, were greatly reduced in the lipid droplets of the adipose tissue from the obese mice, implicating reduced protein machinery for lipid droplet stability.

The discovery of novel protein-coding features in mouse genome based on mass spectrometry data

Identifying protein-coding genes in eukaryotic genomes remains a challenge in post-genome era due to the complex gene models. We applied a proteogenomics strategy to detect un-annotated protein-coding regions in mouse genome. High-accuracy tandem mass spectrometry (MS/MS) data from diverse mouse samples were generated by LTQ-Orbitrap mass spectrometer in house. Two searchable diagnostic proteomic datasets were constructed, one with all possible encoding exon junctions, and the other with all putative encoding exons, for the discovery of novel exon splicing events and novel uninterrupted protein-coding regions. Altogether 29,586 unique peptides were identified. Aligning backwards to the mouse genome, the translation of 4471 annotated genes was validated by the known peptides; and 172 genic events were defined in mouse genome by the novel peptides. The approach in the current work can provide substantial evidences for eukaryote genome annotation in encoding genes.

Simultaneous analysis of proteome, phospho- and glycoproteome of rat kidney tissue with electrostatic repulsion hydrophilic interaction chromatography

Protein post-translational modifications (PTMs) are regulated separately from protein expression levels. Thus, simultaneous characterization of the proteome and its PTMs is pivotal to an understanding of protein regulation, function and activity. However, concurrent analysis of the proteome and its PTMs by mass spectrometry is a challenging task because the peptides bearing PTMs are present in sub-stoichiometric amounts and their ionization is often suppressed by unmodified peptides of high abundance. We describe here a method for concurrent analysis of phosphopeptides, glycopeptides and unmodified peptides in a tryptic digest of rat kidney tissue with a sequence of ERLIC and RP-LC-MS/MS in a single experimental run, thereby avoiding inter-experimental variation. Optimization of loading solvents and elution gradients permitted ERLIC to be performed with totally volatile solvents. Two SCX and four ERLIC gradients were compared in details, and one ERLIC gradient was found to perform the best, which identified 2929 proteins, 583 phosphorylation sites in 338 phosphoproteins and 722 N-glycosylation sites in 387 glycoproteins from rat kidney tissue. Two hundred low-abundance proteins with important functions were identified only from the glyco- or phospho-subproteomes, reflecting the importance of the enrichment and separation of modified peptides by ERLIC. In addition, this strategy enables identification of unmodified and corresponding modified peptides (partial phosphorylation and N-glycosylation) from the same protein. Interestingly, partially modified proteins tend to occur on proteins involved in transport. Moreover, some membrane or extracellular proteins, such as versican core protein and fibronectin, were found to have both phosphorylation and N-glycosylation, which may permit an assessment of the potential for cross talk between these two vital PTMs and their roles in regulation.

ATM-dependent and -independent dynamics of the nuclear phosphoproteome after DNA damage

The double-strand break (DSB) is a cytotoxic DNA lesion caused by oxygen radicals, ionizing radiation, and radiomimetic chemicals. Cells cope with DNA damage by activating the DNA damage response (DDR), which leads either to damage repair and cellular survival or to programmed cell death. The main transducer of the DSB response is the nuclear protein kinase ataxia telangiectasia mutated (ATM). We applied label-free quantitative mass spectrometry to follow the dynamics of DSB-induced phosphoproteome in nuclear fractions of the human melanoma G361 cells after radiomimetic treatment. We found that these dynamics are complex, including both phosphorylation and dephosphorylation events. In addition to identifying previously unknown ATM-dependent phosphorylation and dephosphorylation events, we found that about 40% of DSB-induced phosphorylations were ATM-independent and that several other kinases are potentially involved. Sustained activity of ATM was required to maintain many ATM-dependent phosphorylations. We identified an ATM-dependent phosphorylation site on ATM itself that played a role in its retention on damaged chromatin. By connecting many of the phosphorylated and dephosphorylated proteins into functional networks, we highlight putative cross talks between proteins pertaining to several cellular biological processes. Our study expands the DDR phosphorylation landscape and identifies previously unknown ATM-dependent and -independent branches. It reveals insights into the breadth and complexity of the cellular responses involved in the coordination of many DDR pathways, which is in line with the critical importance of genomic stability in maintenance of cellular homeostasis.

Brain phosphoproteome obtained by a FASP-based method reveals plasma membrane protein topology

Taking advantage of the recently developed Filter Assisted Sample Preparation (FASP) method for sample preparation, we performed an in-depth analysis of phosphorylation sites in mouse brain. To maximize the number of detected phosphorylation sites, we fractionated proteins by size exclusion chromatography (SEC) or separated tryptic peptides on an anion exchanger (SAX) prior or after the TiO(2)-based phosphopeptide enrichment, respectively. SEC allowed analysis of minute tissue samples (1 mg total protein), and resulted in identification of more than 4000 sites in a single experiment, comprising eight fractions. SAX in a pipet tip format offered a convenient and rapid way to fractionate phosphopeptides and mapped more than 5000 sites in a single six fraction experiment. To enrich peptides containing phosphotyrosine residues, we describe a filter aided antibody capturing and elution (FACE) method that requires only the uncoupled instead of resin-immobilized capture reagent. In total, we identified 12,035 phosphorylation sites on 4579 brain proteins of which 8446 are novel. Gene Ontology annotation reveals that 23% of identified sites are located on plasma membrane proteins, including a large number of ion channels and transporters. Together with the glycosylation sites from a recent large-scale study, they can confirm or correct predicted membrane topologies of these proteins, as we show for the examples calcium channels and glutamate receptors.