Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “quantitative proteomics”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 793 records · Page 44Linked to original sources

Natural intramolecular isotope measurements in physiology: elements of the case for an effort toward high-precision position-specific isotope analysis.

Chemical information available in organisms can be categorized into three major domains, macromolecular, small molecules, and isotope ratios. Information about physiological state is commonly obtained by qualitative and quantitative analysis in the macromolecular and small molecule domains. Genomics and proteomics are emerging approaches to analysis of macromolecules, and both areas yield definitive information on present physiological state. There is relatively little record of past physiological states of the individual available in these domains. Natural isotopic variability, particularly on an intramolecular level, is likely to retain more physiological history. Because of ubiquitous isotopic fractionation, every stereochemically unique position in every molecule has an isotope ratio that reflects the processes of synthesis and degradation. This fact highlights a vast amount of organismal chemical information that is essentially unstudied. Isotope measurements can be classified according to the chemical complexity of the analyte into bulk, compound-specific, and position-specific or intramolecular levels. Recent advances in analysis of isotope ratios are transforming natural science, and particularly answering questions about ecosystems using bulk methods; however, they have had relatively little impact on physiology. This may be because the vast complexities of physiological questions demand very selective information available in position-specific isotope analysis (PSIA). The relatively few high-precision PSIA studies, based on isotope ratio mass spectrometry (IRMS), have revealed intramolecular isotope ratio differences in pivotal physiological compounds including amino acids, glucose, glycerol, acetate, fatty acids, and purines. The majority of these analyses have been accomplished by laborious offline methods; however, recent advances in instrumentation presage rapid PSIA that will be necessary to attack real physiological problems. Gas-phase pyrolysis has been shown to be an effective method to determine (13)C/(12)C at high precision for molecular fragments, and technologies to extend C-based PSIA to N and other organic elements are emerging. Two related efforts are warranted, (a) development of rapid, convenient, and sensitive methods for high-precision PSIA, a necessary precursor to (b) a concerted investigation into the relationship of metabolic state to intramolecular isotope ratio. Inherent in this latter goal is the need to identify long-lived molecules in long-lived cells that retain a record of early isotopic conditions, as has been shown for post-mortem human neuronal DNA. Using known metabolic precursor-product relationships between intramolecular positions, future studies of physiological isotope fractionation should reveal the relationship of diet and environment to observed isotope ratio. This science of isotope physiology, or simply isotopics, should add an important tool for elucidation of early factors that effect later health, probably the most difficult class of biomedical issues.

Acetates↗

An accurate, sensitive, and scalable method to identify functional sites in protein structures.

Functional sites determine the activity and interactions of proteins and as such constitute the targets of most drugs. However, the exponential growth of sequence and structure data far exceeds the ability of experimental techniques to identify their locations and key amino acids. To fill this gap we developed a computational Evolutionary Trace method that ranks the evolutionary importance of amino acids in protein sequences. Studies show that the best-ranked residues form fewer and larger structural clusters than expected by chance and overlap with functional sites, but until now the significance of this overlap has remained qualitative. Here, we use 86 diverse protein structures, including 20 determined by the structural genomics initiative, to show that this overlap is a recurrent and statistically significant feature. An automated ET correctly identifies seven of ten functional sites by the least favorable statistical measure, and nine of ten by the most favorable one. These results quantitatively demonstrate that a large fraction of functional sites in the proteome may be accurately identified from sequence and structure. This should help focus structure-function studies, rational drug design, protein engineering, and functional annotation to the relevant regions of a protein.

Amino Acid Motifs↗

Discrete simulation of regulatory homo- and heterodimerization in the apoptosis effector phase.

MOTIVATION: Quantitative simulation of molecular reaction networks is among the most promising approaches towards an understanding of complex biochemical pathways. Numerous qualitative as well as quantitative data from diverse experimental settings, in particular from genomics and proteomics, have to be contextually linked to convert static data into dynamic functionality. RESULTS: This paper presents the Lattice Molecular Automaton, a Cellular Automaton-based simulation tool, capable of representing complex molecular dynamics at different levels of granularity. A data structure concept represents molecular units, whose dynamics, embedded on a 2D grid, is defined via detailed intermolecular interaction profiles. The data structures hold diverse information as molecular type, potential, as well as kinetic energy states, which allows a precise representation of intracellular reaction networks. The molecular dynamics is performed via local computation of individual molecular states on the lattice, which, in conjunction with discretized space and time, enables excellent scalability of this simulation concept. This paper finally gives Lattice Molecular Automaton simulation results on key elements of apoptosis, the cell death cascade, in particular focusing on the regulatory function of homo- and heterodimerization of members of the Bcl-2 protein family in the apoptosis effector phase. The regulatory proteins Bcl2, Bax, and Bak constitute a diffusion-driven molecular switch with inherent damping of apoptosis induction, thereby controlling the apoptosis reaction cascade under noisy, external apoptosis inducing conditions.

Apoptosis↗

No evidence for involvement of SDHD in neuroblastoma pathogenesis.

BACKGROUND: Deletions in the long arm of chromosome 11 are observed in a subgroup of advanced stage neuroblastomas with poor outcome. The deleted region harbours the tumour suppressor gene SDHD that is frequently mutated in paraganglioma and pheochromocytoma, which are, like neuroblastoma, tumours originating from the neural crest. In this study, we sought for evidence for involvement of SDHD in neuroblastoma. METHODS: SDHD was investigated on the genome, transcriptome and proteome level using mutation screening, methylation specific PCR, real-time quantitative PCR based homozygous deletion screening and mRNA expression profiling, immunoblotting, functional protein analysis and ultrastructural imaging of the mitochondria. RESULTS: Analysis at the genomic level of 67 tumour samples and 37 cell lines revealed at least 2 bona-fide mutations in cell lines without allelic loss at 11q23: a 4bp-deletion causing skip of exon 3 resulting in a premature stop codon in cell line N206, and a Y93C mutation in cell line NMB located in a region affected by germline SDHD mutations causing hereditary paraganglioma. No evidence for hypermethylation of the SDHD promotor region was observed, nor could we detect homozygous deletions. Interestingly, SDHD mRNA expression was significantly reduced in SDHD mutated cell lines and cell lines with 11q allelic loss as compared to both cell lines without 11q allelic loss and normal foetal neuroblast cells. However, protein analyses and assessment of mitochondrial morphology presently do not provide clues as to the possible effect of reduced SDHD expression on the neuroblastoma tumour phenotype. CONCLUSIONS: Our study provides no indications for 2-hit involvement of SDHD in the pathogenesis of neuroblastoma. Also, although a haplo-insufficient mechanism for SDHD involvement in advanced stage neuroblastoma could be considered, the present data do not provide consistent evidence for this hypothesis.

Base Sequence↗

Phosphopeptide quantitation using amine-reactive isobaric tagging reagents and tandem mass spectrometry: application to proteins isolated by gel electrophoresis.

Polyacrylamide gel electrophoresis is widely used for protein separation and it is frequently the final step in protein purification in biochemistry and proteomics. Using a commercially available amine-reactive isobaric tagging reagent (iTRAQ) and mass spectrometry we obtained reproducible, quantitative data from peptides derived by tryptic in-gel digestion of proteins and phosphoproteins. The protocol combines optimized reaction conditions, miniaturized peptide handling techniques and tandem mass spectrometry to quantify low- to sub-picomole amounts of (phospho)proteins that were isolated by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). Immobilized metal affinity chromatography (FeIII-IMAC) was efficient for removal of excess reagents and for enrichment of derivatized phosphopeptides prior to matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) analysis. Phosphopeptide abundance was determined by liquid chromatography/tandem mass (LC/MS/MS) using either MALDI time-of-flight/time-of-flight (TOF/TOF) MS/MS or electrospray ionization quadrupole time-of-flight (ESI-QTOF) MS/MS instruments. Chemically labeled isobaric phosphopeptides, differing only by the position of the phosphate group, were distinguished and characterized by LC/MS/MS based on their LC elution profile and distinct MS/MS spectra. We expect this quantitative mass spectrometry method to be suitable for systematic, comparative analysis of molecular variants of proteins isolated by gel electrophoresis.

Amines↗

Proteome analysis of differential protein expression in allergen-induced asthmatic mice lung after dexamethasone treatment.

Asthma has become substantially more prevalent in recent decades and is one of the foremost contributors to morbidity and mortality in industrialized countries. Corticosteroids are among the most effective medications for the treatment of asthma, but some patients do not respond well to corticosteroid treatment. In this study, we characterized the responses to an allergen and identified potential molecular targets of dexamethasone (Dex) treatment in acute asthma. Female BALB/c mice sensitized to ovalbumin (OVA) were challenged with aerosolized OVA for 1 week. During the challenge period, mice were treated daily with Dex by intraperitoneal injection. Phosphate-buffered saline treated and non-challenged mice served as control. Histological evaluation of OVA-induced mice revealed airway inflammation and goblet cell hyperplasia. In addition, interleukin 4 levels and interferon-gamma levels were increased and decreased, respectively. These changes were moderated by Dex treatment. Protein expression profiles were compared in each experimental group by two-dimensional gel electrophoresis and identified using matrix-assisted laser desorption/ionization-time of flight/time of flight mass spectrometry. Some proteins were increased, while others were decreased by Dex treatment. These results indicated that the regulation of protein expression might play a role in the immunological and pathological development of asthma and could be targeted for therapeutic intervention. These results may assist in the development of quantitative diagnostic markers to monitor disease progression or responses to therapy using proteomic approaches.

Animals↗

Serial changes in urinary proteome profile of membranous nephropathy: implications for pathophysiology and biomarker discovery.

Membranous nephropathy is one of the most common causes of primary glomerular diseases worldwide. The present study adopted a gel-based proteomics approach to better understand the pathophysiology and define biomarker candidates of human membranous nephropathy using an animal model of passive Heymann nephritis (PHN). Clinical characteristics of Sprague-Dawley rats injected with rabbit anti-Fx1A antiserum mimicked those of human membranous nephropathy. Serial urine samples were collected at Days 0, 10, 20, 30, 40, and 50 after the injection with anti-Fx1A (number of rats = 6; total number of gels = 36). Urinary proteome profiles were examined using 2D-PAGE and SYPRO Ruby staining. Quantitative intensity analysis and ANOVA with Tukey post-hoc multiple comparisons revealed 37 differentially expressed proteins among 6 different time-points. These altered proteins were successfully identified by MALDI-TOF MS and classified into 6 categories: (i) proteins with decreased urinary excretion during PHN; (ii) proteins with increased urinary excretion during PHN; (iii) proteins with increased urinary excretion during PHN, but which finally returned to basal levels; (iv) proteins with increased urinary excretion during PHN, but which finally declined below basal levels; (v) proteins with undetectable levels in the urine during PHN; and (vi) proteins that were detectable in the urine only during PHN. Most of these altered proteins have functional significance in signaling pathways, glomerular trafficking, and controlling the glomerular permeability. The ones in categories (v) and (vi) may serve as biomarkers for detecting or monitoring membranous nephropathy. After normalization of the data with 24-h urine creatinine excretion, changes in 34 of initially 37 differentially expressed proteins remained statistically significant. These data underscore the significant impact of urinary proteomics in unraveling disease pathophysiology and biomarker discovery.

Biomarkers↗

Molecular Signatures of Neurodegenerative Diseases Identified by Proteomic and Phosphoproteomic Analyses in Aging Mouse Brain.

A central hallmark of neurodegenerative diseases is the irreversible accumulation of misfolded proteins in the brain by aberrant phosphorylation. Understanding the mechanisms underlying protein phosphorylation and its role in pathological protein aggregation within the context of aging is crucial for developing therapeutic strategies aimed at preventing or reversing such diseases. Here, we applied multi-protease digestion and quantitative mass spectrometry to compare and characterize dysregulated proteins and phosphosites in the mouse brain proteome using three different age groups: young-adult (3-4 months), middle-age (10 months), and old mice (19-21 months). Proteins associated with senescence, neurodegeneration, inflammation, cell cycle regulation, the p53 hallmark pathway, and cytokine signaling showed significant age-dependent changes in abundances and level of phosphorylation. Several proteins implicated in Alzheimer's disease (AD) and Parkinson's disease (PD) including tau (Mapt), Nefh, and Dpysl2 (also known as Crmp2) were hyperphosphorylated in old mice brain suggesting their susceptibility to the diseases. Cdk5 and Gsk3b, which are known to phosphorylate Dpysl2 at multiple specific sites, had also increased phosphorylation levels in old mice suggesting a potential crosstalk between them to contribute to AD. Hapln2, which promotes α-synuclein aggregation in patients with PD, was one of the proteins with highest abundance in old mice. CD9, which regulates senescence through the PI3K-AKT-mTOR-p53 signaling was upregulated in old mice and its regulation was correlated with the activation of phosphorylated AKT1. Overall, the findings identify a significant association between aging and the dysregulation of proteins involved in various pathways linked to neurodegenerative diseases with potential therapeutic implications.

Animals↗

Examination of membrane protein expression in Paracoccus denitrificans by two-dimensional gel electrophoresis.

The well-known metabolic versatility of the soil bacterium Paracoccus denitrificans poses a challenge for modern proteomic approaches. We describe here improved preparation conditions that allow good separation and quantitative analyses of hundreds of membrane or periplasmic proteins. To illustrate this optimized procedure, the results of a screening for membrane proteins associated predominantly with aerobic or anaerobic (denitrifying) modes of growth are presented.

Aerobiosis↗

Mass spectrometry in coupling with affinity capture-release and isotope-coded affinity tags for quantitative protein analysis.

Affinity capture-release electrospray ionization mass spectrometry (ACESIMS) and isotope-coded affinity tags (ICAT) are two recently introduced techniques for the quantitation of protein activity and content with applications to clinical enzymology and functional proteomics, respectively. One common feature of these methods is that they use biotinylated tags that function as molecular handles for highly selective and reversible affinity capture of conjugates from complex biological mixtures such as cell homogenates and sub-cellular organelles. ACESIMS uses synthetic substrate conjugates specifically to target cellular enzymes that, when deficient, are the cause of genetic diseases. Multiplex determination of enzyme activities is used for the diagnosis of lysosomal storage diseases. The ICAT method relies on selective conjugation of cysteine thiol groups in proteins, followed by enzymatic digestion and quantitative analysis of peptide conjugates by mass spectrometry. Another common feature of the ACESIMS and ICAT approaches is that both use conjugates labeled with stable heavy isotopes as internal standards for quantitation. Selected applications of the ACESIMS and ICAT techniques are presented that include molecular-level diagnosis of genetic diseases in children and quantitative determination of protein expression in cells.

Affinity Labels↗

Proteomics in tumor progression and metastasis.

With the ultimate goal of systematically identifying and characterizing proteins within an organism, the field of proteomics has generated much excitement in the past few years. Coupled with mass spectrometry, various quantitative and functional techniques are now available that allow for large-scale analyses of proteins implicated in cancer. New techniques are just now being applied to identifying the temporal changes in protein levels associated with tumor development. This review will focus on the use and promise of proteomic technologies as they apply to the study of tumor progression and metastasis.

Animals↗

Proteomic patterns as a diagnostic tool for early-stage cancer: a review of its progress to a clinically relevant tool.

The pace of development in novel technologies that promise improvements in the early diagnosis of disease is truly impressive. One such technology at the forefront of this revolution is mass spectrometry. New capabilities in mass spectrometry have provided the means for the development of proteomics, and the race is on to find innovative ways to apply this powerful technology to solving the problems faced in clinical medicine. One area that has garnered much attention over the past few years is the use of mass spectral patterns for cancer diagnostics. The use of these so-called 'proteomic patterns' for disease diagnosis relies fundamentally on the pattern of signals observed within a mass spectrum rather than the more conventional identification and quantitation of a biomarker such as in the case of cancer antigen-125- or prostate-specific antigen. The inherent throughput of proteomic pattern technology enables the analysis of hundreds of clinical samples per day. Currently, there are two primary means by which proteomic patterns can be acquired, surface-enhanced laser desorption/ionization (SELDI) and an electrospray ionization (ESI) method that has been popularized under the name, OvaCheck. In this review, an historical perspective on the development of proteomic patterns for the diagnosis of early-stage cancers is described. In addition, a critical assessment of the overall technology is presented with an emphasis on the steps required to enable proteomic pattern analysis to become a viable clinical tool for diagnosing early-stage cancers.

Early Diagnosis↗

Inactivation of Helicobacter pylori cagA gene affects motility.

BACKGROUND: The cytotoxin-associated protein CagA is a Helicobacter pylori immunodominant antigen whose gene resides in the cag pathogenicity island. Our purpose was to determine if the disruption or deletion of cagA gene could have an effect on the expression of other proteins at the proteome level. We analyzed two H. pylori strains, 328 and G27 wild-type, bearing the cag pathogenicity island, and their respective isogenic cagA(-) mutants. METHODS: The proteomes of two H. pylori strains (328 and its isogenic mutant SPM328_DeltacagA) were resolved by two-dimensional electrophoresis and the digitalized images obtained were analysed both quantitatively and qualitatively. Peculiar spots of each strain were identified by mass spectrometry or by Western blotting. RESULTS: The comparison between the proteome expression of an H. pylori cagA(+) strain and an isogenic mutant strain where the cagA gene was disrupted showed that, as well as the lack of expression of CagA, both flagellin A and flagellin B expressions were significantly decreased. The cagA(-) isogenic mutant was nonmotile. G27_DeltacagA, in which CagA was inactivated by gene deletion, was nonmotile as well respecting to motile G27 wild-type strain. Moreover, reintroduction of cagA in G27_DeltacagA restored motility. CONCLUSIONS: Our results suggest that CagA could quantitatively influence flaA and flaB transcription or their subsequent translation and/or correct folding.

Antigens, Bacterial↗

Proteomic profiles of peritoneal fluid-derived small extracellular vesicles correlate with patient outcome in ovarian cancer.

Cancer-derived small extracellular vesicles (sEVs) are capable of modifying the tumor microenvironment and promoting tumor progression. Ovarian cancer (OvCa) is a lethal malignancy that preferentially spreads through the abdominal cavity. Thus, the secretion of such vesicles into the peritoneal fluid could be a determinant factor in the dissemination and behavior of this disease. We designed a prospective observational study to assess the impact of peritoneal fluid-derived sEVs (PFD-sEVs) in OvCa clinical outcome. For this purpose, 2 patient cohorts were enrolled: patients with OvCa who underwent a diagnostic or cytoreductive surgery and nononcological patients, who underwent abdominal surgery for benign gynecological conditions and acted as the control group. Systematic extraction of PFD-sEVs from surgical samples enabled us to observe significant quantitative and qualitative differences associated with cancer diagnosis, disease stage, and platinum chemosensitivity. Proteomic profiling of PFD-sEVs led to the identification of molecular pathways and proteins of interest and to the biological validation of S100A4 and STX5. In addition, unsupervised analysis of PFD-sEV proteomic profiles in high-grade serous ovarian carcinomas (HGSOCs) revealed 2 clusters with different outcomes in terms of overall survival. In conclusion, comprehensive characterization of PFD-sEV content provided a prognostic value with potential implications in HGSOC clinical management.

Humans↗

Proteomic response analysis of a threonine-overproducing mutant of Escherichia coli.

The proteomic response of a threonine-overproducing mutant of Escherichia coli was quantitatively analysed by two-dimensional electrophoresis. Evidently, 12 metabolic enzymes that are involved in threonine biosynthesis showed a significant difference in intracellular protein level between the mutant and native strain. The level of malate dehydrogenase was more than 30-fold higher in the mutant strain, whereas the synthesis of citrate synthase seemed to be severely inhibited in the mutant. Therefore, in the mutant, it is probable that the conversion of oxaloacetate into citrate was severely inhibited, but the oxidation of malate to oxaloacetate was significantly up-regulated. Accumulation of oxaloacetate may direct the metabolic flow towards the biosynthetic route of aspartate, a key metabolic precursor of threonine. Synthesis of aspartase (aspartate ammonia-lyase) was significantly inhibited in the mutant strain, which might lead to the enhanced synthesis of threonine by avoiding unfavourable degradation of aspartate to fumarate and ammonia. Synthesis of threonine dehydrogenase (catalysing the degradation of threonine finally back to pyruvate) was also significantly down-regulated in the mutant. The far lower level of cystathionine beta-lyase synthesis in the mutant seems to result in the accumulation of homoserine, another key precursor of threonine. In the present study, we report that the accumulation of important threonine precursors, such as oxaloacetate, aspartate and homoserine, and the inhibition of the threonine degradation pathway played a critical role in increasing the threonine biosynthesis in the E. coli mutant.

Aspartic Acid↗

Quantitative RNA modification mapping by mass spectrometry with isobaric tags and nucleobase fragment analysis.

RNA modifications regulate RNA stability, translation, stress responses, and disease processes, yet their function remains poorly understood due to technical limitations in sequence analysis. Here, we present an RNA-specific isobaric tandem mass tagging (RMT) platform for omic-scale quantitative mapping of RNA modifications. The platform combines RNA-specific tags adapted from proteomics with an end-to-end workflow spanning sample preparation through data processing. Validation using synthetic oligonucleotides and total tRNA from Pseudomonas aeruginosa yielded reproducible quantification, with coefficients of variation below 5%. Together with nucleobase fragment analysis, we identified and quantified 24 RNA modifications in PA14 tRNAs, including previously undescribed m2A38 and Gm/Cm39, and assigned their corresponding writer enzymes. Further analyses of tRNAs from writer knockout strains and stressed cells revealed dynamic modification patterns, modification interdependencies, and their potential roles in stress adaptation. This method provides a robust, cost-effective platform for quantitative RNA modification mapping, enabling deeper biological insights.

RNA, Transfer↗

[From genomics, proteomics to cytomics, or from cytometry to cytomics].

Cytomics, an ad hoc term, represents a new field which connects cyto- with -omics. The cyto- arises from analytical cytology or cytometry, which has developed for more than three decades and includes a serial of quantitative technology which can separate the heterogenetic cell populations into different cytomes by molecular probes. The -omics comes from proteomics which is determined by genomics. Therefore, cytomics is to separate the cytomes by cytometry technology and identify their proteomes controlled by genome or special genes. Cytomics project consists of two parts of technology, one is separation of cytomes and another is post-sorting analysis. Development of cytomics related technology would help us to understand molecular basis of different cytomes and the transition between them, to gradually grasp the details of genomics, and to know of how to apply them for clinical work. Thus, a new horizon will appear.

Cell Biology↗

High-efficiency nanoscale liquid chromatography coupled on-line with mass spectrometry using nanoelectrospray ionization for proteomics.

We describe high-efficiency (peak capacities of approximately 10(3)) nanoscale (using column inner diameters down to 15 microm) liquid chromatography (nanoLC)/low flow rate electrospray (nanoESI) mass spectrometry (MS) for the sensitive analysis of complex global cellular protein enzymatic digests (i.e., proteomics). Using a liquid slurry packing method with carefully selected packing solvents, 87-cm-length capillaries having inner diameters of 14.9-74.5 microm were successfully packed with 3-microm C18-bonded porous (300-A pores) silica particles at a pressure of 18,000 psi. With a mobile-phase delivery pressure of 10,000 psi, these packed capillaries provided mobile-phase flow rates as low as approximately 20 nL/min at LC linear velocities of approximately 0.2 cm/s, which is near optimal for separation efficiency. To maintain chromatographic efficiency, unions with internal channel diameters as small as 10 microm were specially produced for connecting packed capillaries to replaceable nanoESI emitters having orifice diameters of 2-10 microm (depending on the packed capillary dimensions). Coupled on-line with a hybrid-quadrupole time-of-flight MS through the nanoESI interface, the nanoLC separations provided peak capacities of approximately 10(3) for proteome proteolytic polypeptide mixtures when a positive feedback switching valve was used for quantitatively introducing samples. Over a relatively large range of sample loadings (e.g., 5-100 ng, and 50-500 ng of cellular proteolytic peptides for 14.9- and 29.7-microm-i.d. packed capillaries, respectively), the nanoLC/nanoESI MS response for low-abundance components of the complex mixtures was found to increase linearly with sample loading. The nanoLC/nanoESI-MS sensitivity also increased linearly with decreasing flow rate (or approximately inversely proportional to the square of the capillary inner diameter) in the flow range of 20-400 nL/min. Thus, except at the lower loadings, decreasing the separation capillary inner diameter has an effect equivalent to increasing sample loading, which is important for sample-limited proteomic applications. No significant effects on recovery of eluting polypeptides were observed using porous C18 particles with surface pores of 300-A versus nonporous particles. Tandem MS analyses were also demonstrated using the high-efficiency nanoLC separations. Chromatographic elution time, MS response intensity, and mass measurement accuracy was examined between runs with a single column (with a single nanoESI emitter), between different columns (same and different inner diameters with different nanoESI emitters), and for different samples (various concentrations of cellular proteolytic peptides) and demonstrated robust and reproducible sensitive analyses for complex proteomic samples.

Chromatography, High Pressure Liquid↗