Mass Spectrometry-based Relative Quantification Research Articles

Biomarkers of connective tissue disease-associated interstitial lung disease in bronchoalveolar lavage fluid: A label-free mass spectrometry-based relative quantification study.

BackgroundThe pathogenesis of connective tissue disease‐associated interstitial lung disease (CTD‐ILD) is unclear. This study aims to identify differentially expressed proteins (DEPs) in CTD‐ILD to determine the potential role of these DEPs that may play in the pathogenesis of CTD‐ILD and to offer potential therapeutic targets.MethodsBronchoalveolar lavage fluid (BALF) samples were collected from four patients with CTD‐ILD and four patients without CTD‐ILD. Label‐free mass spectrometry‐based relative quantification was used to identify the DEPs. Bioinformatics were used to determine the potential biological processes and signaling pathways associated with these DEPs.ResultsWe found 65 upregulated DEPs including SFTPD, CADM1, ACSL4, TSTD1, CD163, LUM, SIGLEC1, CPB2, TGFBI and HGD, and 67 downregulated DEPs including SGSH, WIPF1, SIL1, RAB20, OAS3, GMPR2, PLBD1, DNAJC3, RNASET2 and OAS2. The results of GO functional annotation for the DEPs showed that the DEPS were mainly enriched in the binding, cellular anatomical entity, cellular processes, and biological regulation GO terms. The results of KEGG analyses showed that the pathways most annotated with the DEPs were complement and coagulation cascades, metabolic pathways, pathways in cancer, and PPAR signaling pathway. COG analyses further informed the functions associated with these DEPs, with most focused on signal transduction mechanisms; posttranslational modification, protein turnover, chaperones; intracellular trafficking, secretion, and vesicular transport; amino acid transport and metabolism; and lipid transport and metabolism.ConclusionsDEPs identified between patients with vs. without CTD‐ILD may play important roles in the development of CTD‐ILD and are potential new biomarkers for early diagnosis of CTD‐ILD.

Gut Mucosal Proteins and Bacteriome Are Shaped by the Saturation Index of Dietary Lipids.

The dynamics of the tripartite relationship between the host, gut bacteria and diet in the gut is relatively unknown. An imbalance between harmful and protective gut bacteria, termed dysbiosis, has been linked to many diseases and has most often been attributed to high-fat dietary intake. However, we recently clarified that the type of fat, not calories, were important in the development of murine colitis. To further understand the host-microbe dynamic in response to dietary lipids, we fed mice isocaloric high-fat diets containing either milk fat, corn oil or olive oil and performed 16S rRNA gene sequencing of the colon microbiome and mass spectrometry-based relative quantification of the colonic metaproteome. The corn oil diet, rich in omega-6 polyunsaturated fatty acids, increased the potential for pathobiont survival and invasion in an inflamed, oxidized and damaged gut while saturated fatty acids promoted compensatory inflammatory responses involved in tissue healing. We conclude that various lipids uniquely alter the host-microbe interaction in the gut. While high-fat consumption has a distinct impact on the gut microbiota, the type of fatty acids alters the relative microbial abundances and predicted functions. These results support that the type of fat are key to understanding the biological effects of high-fat diets on gut health.

Downregulation of apolipoprotein A-IV in plasma & impaired reverse cholesterol transport in individuals with recent acts of deliberate self-harm.

Background & objectives:The major limiting factor in the prevention of suicide is the limited knowledge on molecular insights in individuals at risk. Identification of peripheral protein markers which can classify individuals at high-risk of suicide might aid in early diagnosis and effective medical intervention. The aim of the present study was, therefore, to analyze the differential regulation of plasma proteins in individuals with deliberate self-harm compared to controls.Methods:Using two-dimensional gel electrophoresis coupled with matrix-assisted laser desorption-ionization mass spectrometry, differentially expressed plasma proteins were identified in study participants with deliberate self-harm compared to age- and gender-matched controls. The finding was validated using mass spectrometry-based isotope-labelled relative quantification and Western blot analysis in a new set of individuals with deliberate self-harm and controls.Results:The plasma proteomic analysis showed that apolipoprotein A-IV (Apo A-IV) was downregulated by 2.63-fold (confidence interval: 1.52-4.54) in individuals with deliberate self-harm (n=10) compared to matched controls, which was consistent in mass spectrometry-based relative quantification and Western blot analysis performed in an independent set of individuals with deliberate self-harm (n=18). In addition, plasma levels of total cholesterol, esterified cholesterol and high-density lipoprotein (HDL) were observed to be significantly lower individuals with deliberate self-harm compared to controls.Interpretation & conclusions:Apo A-IV, which plays a crucial role in the esterification of free cholesterol, was found to be downregulated with concomitantly decreased levels of HDL, esterified cholesterol and total cholesterol in individuals with deliberate self-harm compared to matched controls. The present findings might provide a link between the differential regulation of plasma proteins and the previously reported results on altered cholesterol levels in individuals with deliberate self-harm.

Plasma proteome changes associated with refractory anemia and refractory anemia with ringed sideroblasts in patients with myelodysplastic syndrome

BackgroundRefractory anemia and refractory anemia with ringed sideroblasts are two myelodysplastic syndrome (MDS) subgroups linked with anemia. MDS is a group of heterogeneous oncohematological bone marrow disorders characterized by ineffective hematopoiesis, blood cytopenias, and progression of the disease toward acute myeloid leukemia. The aim of this study was to search for plasma proteome changes in MDS patients with refractory anemia and refractory anemia with ringed sideroblasts.ResultsA total of 26 patient and healthy donor plasma samples were depleted of fourteen high-abundant plasma proteins, separated with 2D electrophoresis, and statistically processed with Progenesis SameSpots software. 55 significantly differing spots were observed and corresponded to 39 different proteins identified by nanoLC-MS/MS. Changes in the fragments of the inter-alpha-trypsin inhibitor heavy chain H4 protein were observed. Using mass spectrometry-based relative label-free quantification of tryptic peptides, there were differences in alpha-2-HS-glycoprotein peptides, while no differences were observed between the control and patient sample groups for retinol-binding protein 4 peptides.ConclusionsThis study describes plasma proteome changes associated with MDS patients with refractory anemia and refractory anemia with ringed sideroblasts. Changes observed in the inter-alpha-trypsin inhibitor heavy chain H4 fragments were in agreement with our previous studies of other MDS subgroups: refractory cytopenia with multilineage dysplasia and refractory anemia with excess blasts subtype 1. Mass spectrometry-based relative quantification of retinol-binding protein 4 peptides has shown that there are differences in the modification of this protein between refractory anemia with excess blasts subtype 1 patients and MDS patients with refractory anemia and refractory anemia with ringed sideroblasts. Alpha-2-HS-glycoprotein seems to be a new potential MDS biomarker candidate.

Label-free mass spectrometry-based relative quantification of proteins separated by one-dimensional gel electrophoresis

Here we present a matrix-assisted laser desorption/ionization tandem time-of-flight (MALDI–TOF/TOF)-based label-free relative protein quantification strategy that involves sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS–PAGE) separation of proteins followed by in-gel trypsin digestion. The main problem encountered in gel-based protein quantification is the difficulty in achieving complete and consistent proteolytic digestion. To solve this problem, we developed a high-pressure-assisted in-gel trypsin digestion method that is based on pressure cycling technology (PCT). The PCT approach performed at least as well as the conventional overnight in-gel trypsin digestion approach in parameters such as number of peaks detected, number of peptides identified, and sequence coverage, and the digestion time was reduced to 45 min. The gel/mass spectrometry (MS)-based label-free protein quantification method presented in this work proved the applicability of the signal response factor concept for relative protein quantification previously demonstrated by other groups using the liquid chromatography (LC)/MS platform. By normalizing the average signal intensities of the three most intense peptides of each protein with the average intensities of spiked synthetic catalase tryptic peptides, which we used as an internal standard, we observed spot-to-spot and lane-to-lane coefficients of variation of less than 10 and 20%, respectively. We also demonstrated that the method can be used for determining the relative quantities of proteins comigrating during electrophoretic separation.

In-Gel Stable-Isotope Labeling (ISIL): A Strategy for Mass Spectrometry-Based Relative Quantification

Most proteomics approaches for relative quantification of protein expression use a combination of stable-isotope labeling and mass spectrometry. Traditionally, researchers have used difference gel electrophoresis (DIGE) from stained 1D and 2D gels for relative quantification. While differences in protein staining intensity can often be visualized, abundant proteins can obscure less abundant proteins, and quantification of post-translational modifications is difficult. A method is presented for quantifying changes in the abundance of a specific protein or changes in specific modifications of a protein using In-gel Stable-Isotope Labeling (ISIL). Proteins extracted from any source (tissue, cell line, immunoprecipitate, etc.), treated under two experimental conditions, are resolved in separate lanes by gel electrophoresis. The regions of interest (visualized by staining) are reacted separately with light versus heavy isotope-labeled reagents, and the gel slices are then mixed and digested with proteases. The resulting peptides are then analyzed by LC-MS to determine relative abundance of light/heavy isotope pairs and analyzed by LC-MS/MS for identification of sequence and modifications. The strategy compares well with other relative quantification strategies, and in silico calculations reveal its effectiveness as a global relative quantification strategy. An advantage of ISIL is that visualization of gel differences can be used as a first quantification step followed by accurate and sensitive protein level stable-isotope labeling and mass spectrometry-based relative quantification.

Mass spectrometry-based relative quantification of human neutrophil peptides 1, 2, and 3 from biological samples

Human neutrophil peptides (HNPs) are cysteine-rich antimicrobial peptides stored in neutrophils. The similar structure of HNPs -1, -2, and -3 renders them impossible to study individually in biological samples. For the first time, we describe a method of individually identifying the HNPs -1–3 from exudative neutrophils using matrix-assisted laser desorption ionization/time-of-flight (MALDI-TOF) mass spectrometry, and we demonstrate the ability to quantify the relative changes in the peptides found in biological samples. The study includes tracheal aspirates (TA) from infants with respiratory syncytial virus (RSV) illness at intubation for respiratory failure (acute illness) and at extubation (convalescence). In vitro, convalescent and acute illness TAs are labeled with d 0- and d 3-acrylamides, respectively, and mixed 1:1. TA proteins are separated by one-dimensional gel electrophoresis and then identified by mass spectrometry-based peptide mass fingerprinting. The ratio of signal intensities for the isotopically normal (d 0-labeled) and heavy (d 3-labeled) forms of the peptide reveals the relative increase in each peptide with illness.