Proteomic characterization of specific minor proteins in the human milk casein fraction

Human milk contains many bioactive proteins that are likely to support the early development of the newborn. The aim of this study was to identify whether there are specific minor proteins associated with the human milk casein micelle prepared by the acid precipitation method. Protein identification was performed by liquid chromatography tandem mass spectrometry analysis. Eighty-two proteins were identified in the casein micelle, 18 of which are not present in their whey compartment. Thirty-two of these proteins specifically associated with the casein micelle have not previously been identified in human milk or colostrum. Proteins involved in immune function comprised the major part (28%) of total proteins, and another significant part is involved in metabolism/energy production (22%). Most of the proteins were of extracellular or cytoplasmic origin (accounting for 50 and 29%, respectively). This study indicates that various soluble proteins should be considered as part of the casein compartment, prepared by the acid precipitation method. The data provide new insight not only into the proteomic profile of the human milk casein micelle and its physiological significance, but also into the proper proportion of casein and casein-associated proteins to use in infant formula.     

Bovine Milk Proteome in the First 9 Days: Protein Interactions in Maturation of the Immune and Digestive System of the Newborn

In order to better understand the milk proteome and its changes from colostrum to mature milk, samples taken at seven time points in the first 9 days from 4 individual cows were analyzed using proteomic techniques. Both the similarity in changes from day 0 to day 9 in the quantitative milk proteome, and the differences in specific protein abundance, were observed among four cows. One third of the quantified proteins showed a significant decrease in concentration over the first 9 days after calving, especially in the immune proteins (as much as 40 fold). Three relative high abundant enzymes (XDH, LPL, and RNASE1) and cell division and proliferation protein (CREG1) may be involved in the maturation of the gastro-intestinal tract. In addition, high correlations between proteins involved in complement and blood coagulation cascades illustrates the complex nature of biological interrelationships between milk proteins. The linear decrease of protease inhibitors and proteins involved in innate and adaptive immune system implies a protective role for protease inhibitor against degradation. In conclusion, the results found in this study not only improve our understanding of the role of colostrum in both host defense and development of the newborn calf but also provides guidance for the improvement of infant formula through better understanding of the complex interactions between milk proteins.     

Proteomic characterization of human milk whey proteins during a twelve-month lactation period

Human milk is a rich source of bioactive proteins that support the early growth and development of the newborn. Although the major components of the protein fraction in human milk have been studied, the expression and relative abundance of minor components have received limited attention. We examined the expression of low-abundance proteins in the whey fraction of human milk and their dynamic changes over a twelve-month lactation period. The low-abundance proteins were enriched by ProteoMiner beads, and protein identification was performed by liquid chromatography tandem mass spectrometry. One hundred and fifteen proteins were identified, thirty-eight of which have not been previously reported in human colostrum or milk. We also for the first time described differences in protein patterns among the low-abundance proteins during lactation. These results enhance our knowledge about the complexity of the human milk proteome, which constitutes part of the advantages to the breast-fed infant.     

Characterization of the human COP9 signalosome complex using affinity purification and mass spectrometry

The COP9 signalosome (CSN) is a multiprotein complex that plays a critical role in diverse cellular and developmental processes in various eukaryotic organisms. Despite of its significance, current understanding of the biological functions and regulatory mechanisms of the CSN complex is still very limited. To unravel these molecular mechanisms, we have performed a comprehensive proteomic analysis of the human CSN complex using a new purification method and quantitative mass spectrometry. Purification of the human CSN complex from a stable 293 cell line expressing N-terminal HBTH-tagged CSN5 subunit was achieved by high-affinity streptavidin binding with TEV cleavage elution. Mass spectrometric analysis of the purified CSN complex has revealed the identity of its composition as well as N-terminal modification and phosphorylation of the CSN subunits. N-terminal modifications were determined for seven subunits, six of which have not been reported previously, and six novel phosphorylation sites were also identified. Additionally, we have applied the newly developed MAP-SILAC and PAM-SILAC methods to decipher the dynamics of the human CSN interacting proteins. A total of 52 putative human CSN interacting proteins were identified, most of which are reported for the first time. In comparison to PAM-SILAC results, 20 proteins were classified as stable interactors, whereas 20 proteins were identified as dynamic ones. This work presents the first comprehensive characterization of the human CSN complex by mass spectrometry-based proteomic approach, providing valuable information for further understanding of CSN complex structure and biological functions.     

Proteomic analysis of mammalian primary cilia

The primary cilium is a microtubule-based organelle that senses extracellular signals as a cellular antenna. Primary cilia are found on many types of cells in our body and play important roles in development and physiology. Defects of primary cilia cause a broad class of human genetic diseases called ciliopathies. To gain new insights into ciliary functions and better understand the molecular mechanisms underlying ciliopathies, it is of high importance to generate a catalog of primary cilia proteins. In this study, we isolated primary cilia from mouse kidney cells by using a calcium-shock method and identified 195 candidate primary cilia proteins by MudPIT (multidimensional protein identification technology), protein correlation profiling, and subtractive proteomic analysis. Based on comparisons with other proteomic studies of cilia, around 75% of our candidate primary cilia proteins are shared components with motile or specialized sensory cilia. The remaining 25% of the candidate proteins are possible primary cilia-specific proteins. These possible primary cilia-specific proteins include EVC2, INPP5E, and inversin, several of which have been linked to known ciliopathies. We have performed the first reported proteomic analysis of primary cilia from mammalian cells. These results provide new insights into primary cilia structure and function.     

Sialyl oligosaccharides of human colostrum: changes in concentration during the first three days of lactation

Sialyl oligosaccharides of human milk/colostrum are generally believed to be of biological significance, for example with respect to anti-adhesion of pathogenic organism, providing precursors for biosynthesis of brain, and so on. However, the levels of each of the sialyl oligosaccharides in human colostrum have not so far been determined. The present study was designed to determine the concentrations of nine major sialyl oligosaccharides in human colostrum, collected during the first 3 d (days 1-3) from the start of lactation. We found that the concentration of 3'-sialyllactose was significantly higher on day 1 than on day 2 and 3, but the levels of 6'-sialyllactose and sialyllacto-N-tetraose a were higher on day 3 than on day 1. These results are consistent with the view that during the first 3 d of lactation, the concentration of sialyl oligosaccharides in human colostrum change in accordance with the physiological demands of newborn infants.     

A 2-D gel reference map of the basic human heart proteome

We have undertaken the identification of basic proteins (pH 6–11) of the human heart using 2‐DE. Tissue from the left ventricle of human heart was lysed and proteins were separated in the first dimension on pH 6–11 IPG strips using paper‐bridge loading followed by separation on 12% SDS polyacrylamide gels in the second dimension. Proteins were then identified by mass spectrometry and analysed using Proline, a proteomic data analysis platform that was developed in‐house. The proteome map contains 176 identified spots with 151 unique proteins and has been made available as part of the UCD‐2DPAGE database at http://proteomics‐portal.ucd.ie:8082 . The associated mass spectrometry data have been submitted to PRIDE (Accession number ?10098). This reference map, and the other heart reference maps available through the UCD‐2DPAGE database, will aid further proteomic studies of heart diseases such as dilated cardiomyopathy and ischaemic heart disease.     

A catalogue of human saliva proteins identified by free flow electrophoresis-based peptide separation and tandem mass spectrometry

Human saliva has great potential for clinical disease diagnostics. Constructing a comprehensive catalogue of saliva proteins using proteomic approaches is a necessary first step to identifying potential protein biomarkers of disease. However, because of the challenge presented in cataloguing saliva proteins with widely varying abundance, new proteomic approaches are needed. To this end, we used a newly developed approach coupling peptide separation using free flow electrophoresis with linear ion trap tandem mass spectrometry to identify proteins in whole human saliva. We identified 437 proteins with high confidence (false positive rate below 1%), producing the largest catalogue of proteins from a single saliva sample to date and providing new information on the composition and potential diagnostic utility of this fluid. The statistically validated, transparently presented, and annotated dataset provides a model for presenting large scale proteomic data of this type, which should facilitate better dissemination and easier comparisons of proteomic datasets from future studies in saliva.     

Human saliva proteome analysis and disease biomarker discovery

Human saliva is an attractive body fluid for disease diagnosis and prognosis because saliva testing is simple, safe, low-cost and noninvasive. Comprehensive analysis and identification of the proteomic content in human whole and ductal saliva will not only contribute to the understanding of oral health and disease pathogenesis, but also form a foundation for the discovery of saliva protein biomarkers for human disease detection. In this article, we have summarized the proteomic technologies for comprehensive identification of proteins in human whole and ductal saliva. We have also discussed potential quantitative proteomic approaches to the discovery of saliva protein biomarkers for human oral and systemic diseases. With the fast development of mass spectrometry and proteomic technologies, we are enthusiastic that saliva protein biomarkers will be developed for clinical diagnosis and prognosis of human diseases in the future.     

Human saliva proteome analysis and disease biomarker discovery

Human saliva is an attractive body fluid for disease diagnosis and prognosis because saliva testing is simple, safe, low-cost and noninvasive. Comprehensive analysis and identification of the proteomic content in human whole and ductal saliva will not only contribute to the understanding of oral health and disease pathogenesis, but also form a foundation for the discovery of saliva protein biomarkers for human disease detection. In this article, we have summarized the proteomic technologies for comprehensive identification of proteins in human whole and ductal saliva. We have also discussed potential quantitative proteomic approaches to the discovery of saliva protein biomarkers for human oral and systemic diseases. With the fast development of mass spectrometry and proteomic technologies, we are enthusiastic that saliva protein biomarkers will be developed for clinical diagnosis and prognosis of human diseases in the future.     

Comparative Proteomics of Milk Fat Globule Membrane Proteins from Transgenic Cloned Cattle

The use of transgenic livestock is providing new methods for obtaining pharmaceutically useful proteins. However, the protein expression profiles of the transgenic animals, including expression of milk fat globule membrane (MFGM) proteins, have not been well characterized. In this study, we compared the MFGM protein expression profile of the colostrum and mature milk from three lines of transgenic cloned (TC) cattle, i.e., expressing recombinant human α-lactalbumin (TC-LA), lactoferrin (TC-LF) or lysozyme (TC-LZ) in the mammary gland, with those from cloned non-transgenic (C) and conventionally bred normal animals (N). We identified 1, 225 proteins in milk MFGM, 166 of which were specifically expressed only in the TC-LA group, 265 only in the TC-LF group, and 184 only in the TC-LZ group. There were 43 proteins expressed only in the transgenic cloned animals, but the concentrations of these proteins were below the detection limit of silver staining. Functional analysis also showed that the 43 proteins had no obvious influence on the bovine mammary gland. Quantitative comparison revealed that MFGM proteins were up- or down-regulated more than twofold in the TC and C groups compared to N group: 126 in colostrum and 77 in mature milk of the TC-LA group; 157 in colostrum and 222 in mature milk of the TC-LF group; 49 in colostrum and 98 in mature milk of the TC-LZ group; 98 in colostrum and 132 in mature milk in the C group. These up- and down-regulated proteins in the transgenic animals were not associated with a particular biological function or pathway, which appears that expression of certain exogenous proteins has no general deleterious effects on the cattle mammary gland.     

Exploration of bovine milk proteome in colostral and mature whey using an ion-exchange approach

In addition to milk's nutritional role, it contains immunoglobulins (antibodies) and immunoregulatory proteins that are active in the digestive tract of newborns. However, knowledge of the repertoire of milk proteins remains meager. In this work, we report an ion-exchange-based protein fractionation method that allows in-depth exploration of the whey proteome in bovine milk; 293 unique gene products were identified, of which 176 were newly identified in whey. This work also demonstrated qualitatively for the first time the consistency, albeit differing in protein levels, in milk proteome between colostrum and mature milk (3 mo. post calving). Semiquantitative analysis showed a number of up-regulated proteins in colostrum that may provide extra natural defenses for the neonate. Increased understanding of the composition and functions of bovine milk proteins and their potential health benefits may, in the future, play an important role in nutritional and biomedical applications as properly processed cow's milk proteins could potentially confer the same bioactivity as their human counterparts.     

Identification of additional proteins in differential proteomics using protein interaction networks

In this study, we developed a novel computational approach based on protein–protein interaction networks to identify a list of proteins that might have remained undetected in differential proteomic profiling experiments. We tested our computational approach on two sets of human smooth muscle cell protein extracts that were affected differently by DNase I treatment. Differential proteomic analysis by saturation DIGE resulted in the identification of 41 human proteins. The application of our approach to these 41 input proteins consisted of four steps: (i) Compilation of a human protein–protein interaction network from public databases; (ii) calculation of interaction scores based on functional similarity; (iii) determination of a set of candidate proteins that are needed to efficiently and confidently connect the 41 input proteins; and (iv) ranking of the resulting 25 candidate proteins. Two of the three highest‐ranked proteins, beta‐arrestin 1, and beta‐arrestin 2, were experimentally tested, revealing that their abundance levels in human smooth muscle cell samples were indeed affected by DNase I treatment. These proteins had not been detected during the experimental proteomic analysis. Our study suggests that our computational approach may represent a simple, universal, and cost‐effective means to identify additional proteins that remain elusive for current 2D gel‐based proteomic profiling techniques.     

Computational prediction of human proteins that can be secreted into the bloodstream

We present a novel computational method for predicting which proteins from highly and abnormally expressed genes in diseased human tissues, such as cancers, can be secreted into the bloodstream, suggesting possible marker proteins for follow-up serum proteomic studies. A main challenging issue in tackling this problem is that our understanding about the downstream localization after proteins are secreted outside the cells is very limited and not sufficient to provide useful hints about secretion to the bloodstream. To bypass this difficulty, we have taken a data mining approach by first collecting, through extensive literature searches, human proteins that are known to be secreted into the bloodstream due to various pathological conditions as detected by previous proteomic studies, and then asking the question: 'what do these secreted proteins have in common in terms of their physical and chemical properties, amino acid sequence and structural features that can be used to predict them?' We have identified a list of features, such as signal peptides, transmembrane domains, glycosylation sites, disordered regions, secondary structural content, hydrophobicity and polarity measures that show relevance to protein secretion. Using these features, we have trained a support vector machine-based classifier to predict protein secretion to the bloodstream. On a large test set containing 98 secretory proteins and 6601 non-secretory proteins of human, our classifier achieved approximately 90% prediction sensitivity and approximately 98% prediction specificity. Several additional datasets are used to further assess the performance of our classifier. On a set of 122 proteins that were found to be of abnormally high abundance in human blood due to various cancers, our program predicted 62 as blood-secreted proteins. By applying our program to abnormally highly expressed genes in gastric cancer and lung cancer tissues detected through microarray gene expression studies, we predicted 13 and 31 as blood secreted, respectively, suggesting that they could serve as potential biomarkers for these two cancers, respectively. Our study demonstrated that our method can provide highly useful information to link genomic and proteomic studies for disease biomarker discovery. Our software can be accessed at http://csbl1.bmb.uga.edu/cgi-bin/Secretion/secretion.cgi.     

In-depth analysis of low abundant proteins in bovine colostrum using different fractionation techniques

Bovine colostrum is well known for its large content of bioactive components and its importance for neonatal survival. Unfortunately, the colostrum proteome is complicated by a wide dynamic range, because of a few dominating proteins that hamper sensitivity and proteome coverage achieved on low abundant proteins. Moreover, the composition of colostrum is complex and the proteins are located within different physical fractions that make up the colostrum. To gain a more exhaustive picture of the bovine colostrum proteome and gather information on protein location, we performed an extensive pre-analysis fractionation of colostrum prior to 2D-LC-MS/MS analysis. Physical and chemical properties of the proteins and colostrum were used alone or in combination for the separation of proteins. ELISA was used to quantify and verify the presence of proteins in colostrum. In total, 403 proteins were identified in the nonfractionated colostrum (NF) and seven fractions (F1-F7) using six different fractionation techniques. Fractionation contributed with 69 additional proteins in the fluid phase compared with NF. Different fractionation techniques each resulted in detection of unique subsets of proteins. Whey production by high-speed centrifugation contributed most to detection of low abundant proteins. Hence, prefractionation of colostrum prior to 2D-LC-MS/MS analysis expanded our knowledge on the presence and location of low abundant proteins in bovine colostrum.     

A comparative proteomic analysis of human and rat embryonic cerebrospinal fluid

During vertebrate central nervous system development, the apical neuroepithelium is bathed with embryonic Cerebrospinal Fluid (e-CSF) which plays regulatory roles in cortical cell proliferation and maintenance. Here, we report the first proteomic analysis of human e-CSF and compare it to an extensive proteomic analysis of rat e-CSF. As expected, we identified a large collection of protease inhibitors, extracellular matrix proteins, and transport proteins in CSF. However, we also found a surprising suite of signaling and intracellular proteins not predicted by previous proteomic analysis. Some of the intracellular proteins are likely to represent the contents of microvesicles recently described within the CSF (Marzesco, A. M., et al. J. Cell Sci. 2005, 118 (Pt. 13), 2849-2858). Defining the rich composition of e-CSF will enable a greater understanding of its concerted actions during critical stages of brain development.     

Novel prefractionation method can be used in proteomic analysis

For the first time, a novel prefractionation method used in proteomic analysis was developed, which is performed by a novel aqueous two-phase system (NATPS) composed of n-butanol, (NH(4))(2)SO(4), and water. It can separate proteomic proteins into multigroups by one-step extraction. The phase-separation conditions of n-butanol solutions were studied in the presence of commonly used inorganic salts. The NATPS was subsequently developed. Using human serum albumin, zein, and gamma-globulin as model proteins, the separation effectiveness of the NATPS for protein was studied under affection factors, i.e., pH, n-butanol volume, protein, or salt concentration. The model and actual protein samples were separated by the NATPS and then directly used for gel electrophoresis without separating the target proteins from phase-forming reagents. It revealed that the NATPS could separate proteomic proteins into multigroups by one-step extraction. The NATPS has the advantages of rapidity, simplicity, low cost, biocompability, and high efficiency. It need not separate target proteins from the phase-forming reagents. The NATPS has great significance in separation and extraction of proteomic proteins, as well as in methodology.     

Human urine proteomics: building a list of human urine cancer biomarkers

In the last decade, several reports have focused on the identification and characterization of proteins present in urine. In an effort to build a list of proteins of interest as biomarkers, we reviewed the largest urine proteomes and built two updated lists of proteins of interest (available as supplementary tables). The first table includes a consensus list of 443 proteins found in urine by independent laboratories and reported on the top three largest urine proteomes currently published. This consensus list of proteins could serve as biomarkers to diagnose, monitor and manage a number of diseases. Here, we focus on a reduced list of 35 proteins with potential interest as cancer biomarkers in urine following two criteria: first, proteins previously detected in urine using bottom-up proteomic experiments, and second, those suggested as cancer protein biomarkers in human plasma. In an effort to standardize the information presented and its use in future studies, here we include the updated International Protein Index (v. 3.80) and primary Swiss-Prot accession numbers, official gene symbols and recommended full names. The main variables that influence urine proteomic experiments are also discussed.     

Concentration of lactoferrin and transferrin throughout lactation in cow's colostrum and milk

The evolution of the concentration of lactoferrin and transferrin was studied in cow's colostrum and milk throughout lactation. The highest concentrations of both proteins were found in the first milking (0.83 mg/ml for lactoferrin and 1.07 mg/ml for transferrin), decreasing sharply during the first days of lactation (colostral period). Thereafter, the concentrations of these proteins decreased slowly, reaching their definitive values during the third week post-partum (0.09 mg/ml for lactoferrin and 0.02 mg/ml for transferrin). The ratio transferrin/albumin in colostrum (first milking), mature milk, milk from mastitic cows and serum was determined, and found to be four times greater in colostrum than in mature or mastitic milk, suggesting a specific transport of transferrin from blood to milk.