Assessment of “activation” of estrogen receptors in lactating mammary gland using DNA-cellulose binding

To circumvent the need for isolated nuclei in studies on activation of estrogen-receptor complexes in mammary gland of the rat, a DNA-cellulose binding assay was employed using a cell-free system. Incubation at 28°C for 30 min of receptors previously charged with [³H]estradiol markedly enhanced their association with DNA-cellulose. Once activated, estrogen-receptor complexes bound maximally to DNA-cellulose within 20–30 min. The temperature optimum for activation was 28 ± 2°C using cytosol preparations. The temperature-induced activation required the presence of both steroid and cytosolic receptors simultaneously. Density gradient centrifugation revealed that, unlike those of uterus, both activated and charged estrogen-receptor complexes of lactating mammary tissue sedimented as a 4 S species in sucrose gradients containing 0.4 M KCl.     

Cytochemical detection of estrogen receptors in mammary tumours

The technical details of a cytochemical method for estrogen receptor identification in mammary tumours are presented and applied in 19 carcinomas and six adenofibromas. A fluorescent estradiol conjugate was used as receptor tracer. From the 19 mammary carcinomas, six were interpreted as estrogen receptor-negative (ER-), two were strongly receptor-positive (ER++) and eleven were moderately estrogen receptor-positive (ER+), having cells with a heterogeneous content of estrogen receptors. In fibroadenomas, the proliferating epithelia were moderately estrogen-receptor positive.     

Over 4100 protein identifications from a Xenopus laevis fertilized egg digest using reversed‐phase chromatographic prefractionation followed by capillary zone electrophoresis–electrospray ionization–tandem mass spectrometry analysis

A tryptic digest generated from Xenopus laevis fertilized embryos was fractionated by RPLC. One set of 30 fractions was analyzed by 100‐min CZE‐ESI‐MS/MS separations (50 h total instrument time), and a second set of 15 fractions was analyzed by 3‐h UPLC‐ESI‐MS/MS separations (45 h total instrument time). CZE‐MS/MS produced 70% as many protein IDs (4134 versus 5787) and 60% as many peptide IDs (22 535 versus 36 848) as UPLC‐MS/MS with similar instrument time (50 h versus 45 h) but with 50 times smaller total consumed sample amount (1.5 μg versus 75 μg). Surprisingly, CZE generated peaks that were 25% more intense than UPLC for peptides that were identified by both techniques, despite the 50‐fold lower loading amount; this high sensitivity reflects the efficient ionization produced by the electrokinetically pumped nanospray interface used in CZE. This report is the first comparison of CZE‐MS/MS and UPLC‐MS/MS for large‐scale eukaryotic proteomic analysis. The numbers of protein and peptide identifications produced by CZE‐ESI‐MS/MS approach those produced by UPLC‐MS/MS, but with nearly two orders of magnitude lower sample amounts.     

Proteomic analysis of mouse mammary terminal end buds identifies axonal growth cone proteins

Ductal morphogenesis in the mouse mammary gland occurs mainly postnatally and is driven by specialized structures at the ends of the developing ducts, the terminal end buds (TEBs), which later regress once ductal growth is complete. To identify proteins that are specifically associated with migration of TEBs we developed a novel method of isolating TEBs, which eliminated the mammary stroma. The protein expression profile of the TEBs was then compared with that of isolates taken from the 4th inguinal mammary gland of adult virgin mice using two-dimensional (2-D) gel electrophoresis and mass spectrometry (MS) analysis (matrix-assisted laser desorption/ionization and quadrupole time of flight). Following construction of an integrated protein expression database, 44 protein features which showed differential expression levels between the two sets were chosen for MS analysis. Of these, 24 gave protein annotations whereas the other 20 produced unidentified peptides. Fourteen unequivocal proteins were identified from these 24, whereas the remaining 10 matched more than one protein within a single 2-D gel feature. Several of the identified proteins were associated with the cytoskeleton and have previously been reported in axonal growth cones, suggesting that they may influence cell shape and motility within the advancing TEBs, in a similar fashion to migrating axons.     

Structural study of GCDFP-15/gp17 in disease versus physiological conditions using a proteomic approach

Gross cystic disease fluid protein (GCDFP-15), also known as prolactin-inducible protein (PIP), is a specific breast tumor marker. GCDFP-15/PIP is also identified as gp17 and/or seminal actin-binding protein (SABP) from seminal vesicles and as extraparotid glycoprotein (EP-GP) from salivary glands. It is an aspartyl proteinase able to specifically cleave fibronectin (FN), suggesting a possible involvement in mammary tumor progression and fertilization. Other functions were attributed to this protein(s) on the basis of its ability to interact with an array of molecules such as CD4, actin, and fibrinogen. We investigated the structure of the protein(s) under disease versus physiological conditions by RP-HPLC chromatography, ProteinChip technology, and QStar MS/MS mass spectrometry. The proteins behaved differently when examined by RP-HPLC chromatography and surface-enhanced laser desorption ionization time-of-flight (SELDI-TOF) mass spectrometry, suggesting different conformations and/or tissue-specific posttranslational modifications of the proteins, although their primary structure was identical by MS/MS analysis. Both showed a single N-glycosylation site. A different N-linked glycosylation pattern was observed in pathological GCDFP-15/PIP as compared with physiological gp17/SABP protein by coupling enzymatic digestion and ProteinChip technology. Furthermore, taking advantage of ProteinChip technology, we analyzed the interaction of both proteins with CD4 and FN. We observed that the physiological form was mainly involved in the binding to CD4. Moreover, we defined the specific FN binding-domain of this protein. These data suggested that, depending on its conformational state, the protein could differently bind to its various binding molecules and change its function(s) in the microenviroments where it is expressed.     

Membrane protein identifications by mass spectrometry using electrocapture-based separation as part of a two-dimensional fractionation system

A two-dimensional (2D) separation method was used to decrease sample complexity in analysis of tryptic peptides from glomerular membrane proteins by tandem mass spectrometry (MS/MS). The first dimension was carried out by electrocapture (EC), which fractionates peptides according to electrophoretic mobility. The second dimension was reverse-phase liquid chromatography (RP-LC), in which EC fractions were further separated and analyzed online by MS/MS. Using this methodology, we now identify 102 glomerular proteins (57 membrane proteins). Many peptides were possible to observe and select for MS/MS only using the 2D approach. Others were detectable in both one-dimensional (1D, without the EC step) and 2D experiments but were selectable for sequence analysis only from the 2D separations because the decrease in complexity then gives time for the mass analyzer to select the peptide and switch to the MS/MS mode. A minority of the peptides were detectable only in the 1D mode (presumably because of handling losses), but at the end this did not decrease the number of proteins identified by the 2D separation. After a database search, the combination of EC and RP-LC MS/MS versus a 1D RP-LC MS/MS separation resulted in a threefold increase in the number of proteins identified and improved the sequence coverage in the identifications, bringing our proteome-identified glomerular proteins to 282.     

Proteome analysis of functionally differentiated bovine (Bos indicus) mammary epithelial cells isolated from milk

Mammary gland is made up of a branching network of ducts that end in alveoli. Terminally differentiated mammary epithelial cells (MECs) constitute the innermost layer of aveoli. They are milk‐secreting cuboidal cells that secrete milk proteins during lactation. Little is known about the expression profile of proteins in the metabolically active MECs during lactation or their functional role in the lactation process. In the present investigation, we have reported the proteome map of MECs in lactating cows using 2DE MALDI‐TOF/TOF MS and 1D‐Gel‐LC‐MS/MS. MECs were isolated from milk using immunomagnetic beads and confirmed by RT‐PCR and Western blotting. The 1D‐Gel‐LC‐MS/MS and 2DE‐MS/MS based approaches led to identification of 431 and 134 proteins, respectively, with a total of 497 unique proteins. Proteins identified in this study were clustered into functional groups using bioinformatics tools. Pathway analysis of the identified proteins revealed 28 pathways (p < 0.05) providing evidence for involvement of various proteins in lactation function. This study further provides experimental evidence for the presence of many proteins that have been predicted in annotated bovine genome. The data generated further provide a set of bovine MEC‐specific proteins that will help the researchers to understand the molecular events taking place during lactation.     

Proteomic characterization of Her2/neu-overexpressing breast cancer cells

The receptor tyrosine kinase HER2 is an oncogene amplified in invasive breast cancer and its overexpression in mammary epithelial cell lines is a strong determinant of a tumorigenic phenotype. Accordingly, HER2-overexpressing mammary tumors are commonly indicative of a poor prognosis in patients. Several quantitative proteomic studies have employed two-dimensional gel electrophoresis in combination with MS/MS, which provides only limited information about the molecular mechanisms underlying HER2/neu signaling. In the present study, we used a SILAC-based approach to compare the proteomic profile of normal breast epithelial cells with that of Her2/neu-overexpressing mammary epithelial cells, isolated from primary mammary tumors arising in mouse mammary tumor virus-Her2/neu transgenic mice. We identified 23 proteins with relevant annotated functions in breast cancer, showing a substantial differential expression. This included overexpression of creatine kinase, retinol-binding protein 1, thymosin 4 and tumor protein D52, which correlated with the tumorigenic phenotype of Her2-overexpressing cells. The differential expression pattern of two genes, gelsolin and retinol binding protein 1, was further validated in normal and tumor tissues. Finally, an in silico analysis of published cancer microarray data sets revealed a 23-gene signature, which can be used to predict the probability of metastasis-free survival in breast cancer patients.     

The Urine Proteome Profile Is Different in Neuromyelitis Optica Compared to Multiple Sclerosis: A Clinical Proteome Study

Objectives

Inflammatory demyelinating diseases of the CNS comprise a broad spectrum of diseases like neuromyelitis optica (NMO), NMO spectrum disorders (NMO-SD) and multiple sclerosis (MS). Despite clear classification criteria, differentiation can be difficult. We hypothesized that the urine proteome may differentiate NMO from MS.

Methods

The proteins in urine samples from anti-aquaporin 4 (AQP4) seropositive NMO/NMO-SD patients (n = 32), patients with MS (n = 46) and healthy subjects (HS, n = 31) were examined by quantitative liquid chromatography-tandem mass spectrometry (LC-MS/MS) after trypsin digestion and iTRAQ labelling. Immunoglobulins (Ig) in the urine were validated by nephelometry in an independent cohort (n = 9–10 pr. groups).

Results

The analysis identified a total of 1112 different proteins of which 333 were shared by all 109 subjects. Cluster analysis revealed differences in the urine proteome of NMO/NMO-SD compared to HS and MS. Principal component analysis also suggested that the NMO/NMO-SD proteome profile was useful for classification. Multivariate regression analysis revealed a 3-protein profile for the NMO/NMO-SD versus HS discrimination, a 6-protein profile for NMO/NMO-SD versus MS discrimination and an 11-protein profile for MS versus HS discrimination. All protein panels yielded highly significant ROC curves (AUC in all cases >0.85, p≤0.0002). Nephelometry confirmed the presence of increased Ig-light chains in the urine of patients with NMO/NMO-SD.

Conclusion

The urine proteome profile of patients with NMO/NMO-SD is different from MS and HS. This may reflect differences in the pathogenesis of NMO/NMO-SD versus MS and suggests that urine may be a potential source of biomarkers differentiating NMO/NMO-SD from MS.     

Functional prediction of unidentified lipids using supervised classifiers

Mass spectrometry (MS)-based metabolomics studies often require handling of both identified and unidentified metabolite data. In order to avoid bias in data interpretation, it would be of advantage for the data analysis to include all available data. A practical challenge in exploratory metabolomics analysis is therefore how to interpret the changes related to unidentified peaks. In this paper, we address the challenge by predicting the class membership of unknown peaks by applying and comparing multiple supervised classifiers to selected lipidomics datasets. The employed classifiers include k-nearest neighbours (k-NN), support vector machines (SVM), partial least squares and discriminant analysis (PLS-DA) and Naive Bayes methods which are known to be effective and efficient in predicting the labels for unseen data. Here, the class label predictions are sought for unidentified lipid profiles coming from high throughput global screening in Ultra Performance Liquid Chromatography Mass Spectrometry (UPLC^TM/MS) experimental setup. Our investigation reveals that k-NN and SVM classifiers outperform both PLS-DA and Naive Bayes classifiers. Naive Bayes classifier perform poorly among all models and this observation seems logical as lipids are highly co-regulated and do not respect Naive Bayes assumptions of features being conditionally independent given the class. Common label predictions from k-NN and SVM can serve as a good starting point to explore full data and thereby facilitating exploratory studies where label information is critical for the data interpretation.     

Characterisation of host defence proteins in milk using a proteomic approach

Besides providing nutrition to the newborn, milk also protects the neonate and the mammary gland against infection. As well as the six major proteins, bovine milk contains minor proteins, not all of which have been characterized. In this study, we have subjected bovine skim milk, whey, and milk fat globule membrane (MFGM) fractions to both direct liquid chromatography-tandem mass spectrometry (LC-MS/MS), and two-dimensional electrophoresis (2-DE) followed by matrix assisted laser desorption ionization-time-of-flight (MALDI-TOF) mass spectrometry (MS) of individual protein spots to better characterize the repertoire of minor milk proteins, particularly those involved with host defense. Milk from peak lactation as well as during the period of colostrum formation and during mastitis were analyzed to gain a more complete sampling of the milk proteome. In total, 2903 peptides were detected by LC-MS and 2770 protein spots by 2-DE. From these, 95 distinct gene products were identified, comprising 53 identified through direct LC-MS/MS and 57 through 2-DE-MS. The latter were derived from a total of 363 spots analyzed with 181 being successfully identified. At least 15 proteins were identified that are involved in host defense. These results demonstrate that the proteome of milk is more complex than has previously been reported and a significant fraction of minor milk proteins are involved in protection against infection.     

The proteins cleaved by endogenous tryptic proteases in normal EDTA plasma by C18 collection of peptides for liquid chromatography micro electrospray ionization and tandem mass spectrometry

The tryptic peptides from ice cold versus room temperature plasma were identified by C18 liquid chromatography and micro electrospray ionization tandem mass spectrometry (LC–ESI–MS/MS). Samples collected on ice showed low levels of endogenous tryptic peptides compared to the same samples incubated at room temperature. Plasma on ice contained peptides from albumin, complement, and apolipoproteins and others that were observed by the X!TANDEM and SEQUEST algorithms. In contrast to ice cold samples, after incubation at room temperature, greater numbers of tryptic peptides from well characterized plasma proteins, and from cellular proteins were observed. A total of 583,927 precursor ions and MS/MS spectra were correlated to 94,669 best fit peptides that reduced to 22,287 correlations to the best accession within a gene symbol and to 7174 correlations to at least 510 gene symbols with ≥ 5 independent MS/MS correlations (peptide counts) that showed FDR q-values ranging from E?9 (i.e. FDR = 0.000000001) to E?227. A set of 528 gene symbols identified by X!TANDEM and SEQUEST including C4B showed ≥ fivefold variation between ice cold versus room temperature incubation. STRING analysis of the protein gene symbols observed from endogenous peptides in normal plasma revealed an extensive protein-interaction network of cellular factors associated with cell signalling and regulation, the formation of membrane bound organelles, cellular exosomes and exocytosis network proteins. Taken together the results indicated that a pool of cellular proteins, or protein complexes, in plasma are apparently not stable and degrade soon after incubation at room temperature.     

Potential Reduction of Contralateral Second Breast-Cancer Risks by Prophylactic Mammary Irradiation: Validation in a Breast-Cancer-Prone Mouse Model

Background

Long-term breast-cancer survivors have a highly elevated risk (1 in 6 at 20 years) of contralateral second breast cancer. This high risk is associated with the presence of multiple pre-malignant cell clones in the contralateral breast at the time of primary breast cancer diagnosis. Mechanistic analyses suggest that a moderate dose of X-rays to the contralateral breast can kill these pre-malignant clones such that, at an appropriate Prophylactic Mammary Irradiation (PMI) dose, the long-term contralateral breast cancer risk in breast cancer survivors would be considerably decreased.

Aims

To test the predicted relationship between PMI dose and cancer risk in mammary glands that have a high risk of developing malignancies.

Methods

We tested the PMI concept using MMTV-PyVT mammary-tumor-prone mice. Mammary glands on one side of each mouse were irradiated with X-rays, while those on the other side were shielded from radiation. The unshielded mammary glands received doses of 0, 4, 8, 12 and 16Gy in 4-Gy fractions.

Results

In high-risk mammary glands exposed to radiation doses designed for PMI (12 and 16 Gy), tumor incidence rates were respectively decreased by a factor of 2.2 (95% CI, 1.1-5.0) at 12 Gy, and a factor of 3.1 (95% CI, 1.3-8.3) at 16 Gy, compared to those in the shielded glands that were exposed to very low radiation doses. The same pattern was seen for PMI-exposed mammary glands relative to zero-dose controls.

Conclusions

The pattern of cancer risk reduction by PMI was consistent with mechanistic predictions. Contralateral breast PMI may thus have promise as a spatially targeted breast-conserving option for reducing the current high risk of contralateral second breast cancers. For estrogen-receptor positive primary tumors, PMI might optimally be used concomitantly with systemically delivered chemopreventive drugs such as tamoxifen or aromatase inhibitors, while for estrogen-receptor negative tumors, PMI might be used alone.     

Effect of 2MEGA labeling on membrane proteome analysis using LC-ESI QTOF MS

One of the challenges associated with large-scale proteome analysis using tandem mass spectrometry (MS/MS) and automated database searching is to reduce the number of false positive identifications without sacrificing the number of true positives found. In this work, a systematic investigation of the effect of 2MEGA labeling (N-terminal dimethylation after lysine guanidination) on the proteome analysis of a membrane fraction of an Escherichia coli cell extract by 2-dimensional liquid chromatography MS/MS is presented. By a large-scale comparison of MS/MS spectra of native peptides with those from the 2MEGA-labeled peptides, the labeled peptides were found to undergo facile fragmentation with enhanced a1 or a1-related (a(1)-17 and a(1)-45) ions derived from all N-terminal amino acids in the MS/MS spectra; these ions are usually difficult to detect in the MS/MS spectra of nonderivatized peptides. The 2MEGA labeling alleviated the biased detection of arginine-terminated peptides that is often observed in MALDI and ESI MS experiments. 2MEGA labeling was found not only to increase the number of peptides and proteins identified but also to generate enhanced a1 or a1-related ions as a constraint to reduce the number of false positive identifications. In total, 640 proteins were identified from the E. coli membrane fraction, with each protein identified based on peptide mass and sequence match of one or more peptides using MASCOT database search algorithm from the MS/MS spectra generated by a quadrupole time-of-flight mass spectrometer. Among them, the subcellular locations of 336 proteins are presently known, including 258 membrane and membrane-associated proteins (76.8%). Among the classified proteins, there was a dramatic increase in the total number of integral membrane proteins identified in the 2MEGA-labeled sample (153 proteins) versus the unlabeled sample (77 proteins).     

Choice of recipient vessels in delayed TRAM flap breast reconstruction after radiotherapy

This study compared the use of the internal mammary and thoracodorsal recipient vessels in a uniform group of patients who underwent delayed TRAM flap reconstruction after radiotherapy, focusing on usability rates and outcomes. The authors identified 123 delayed TRAM flap patients who had undergone postmastectomy radiotherapy from a prospective database (1990 to 2001). Recipient vessel unusability rates were calculated on the basis of reports of inspection of a vessel, either by direct intraoperative dissection or by findings from color Doppler examination (internal mammary vessels only). Charts were reviewed for outcomes including flap loss, vascular complications, fat necrosis, and lymphedema; t-test and chi-square analyses were performed to compare outcomes and unusability rates, and multiple regression analysis was performed to determine factors influencing outcome. Of the 123 planned free TRAM flaps, 106 were completed as free flaps and 17 were performed as pedicled flaps because of unusable recipient vessels. Of the free flaps, 45 were anastomosed to the internal mammary vessels, 55 to the thoracodorsal vessels, and six to other vessels. The internal mammary and thoracodorsal groups did not differ significantly in body mass index, abdominal scars, smoking history, time delay between irradiation and TRAM flap reconstruction, or flap ischemia time. Radiation doses to the axilla (thoracodorsal), internal mammary chain, and supraclavicular fossa were similar between the groups. The internal mammary vessels were rejected in 11 (20 percent) of 56 cases, and the thoracodorsal vessels were rejected in 19 (26 percent) of 74 cases (p = 0.42). In cases with unusable internal mammary vessels, 46 percent (n = 5) had inadequate veins, 27 percent (n = 3) had inadequate arteries, and in 27 percent (n = 3) both vessels were inadequate. In the 19 cases with unusable thoracodorsal vessels, 84 percent (n = 16) were excessively scarred, 11 percent (n = 2) had inadequate vessels, and 5 percent (n = 1) were absent. Outcomes were similar regardless of recipient vessels used (internal mammary versus thoracodorsal): total flap loss, 0 percent versus 4 percent (p = 0.20); vascular complications, 6.7 percent versus 11 percent (p = 0.46); arm lymphedema, 4.4 percent versus 9 percent (p = 0.37); partial flap loss, 9 percent versus 6 percent (p = 0.54); and fat necrosis, 18 percent versus 15 percent (p = 0.69). Multivariate analysis revealed a trend for higher complication rates in smokers and with the use of the thoracodorsal vessels as the recipients. Overall, no discernible unusability or outcome differences were detected between the internal mammary and thoracodorsal groups.     

Association between apolipoprotein E gene polymorphism and the risk of multiple sclerosis: A meta-analysis of 6977 subjects

Epidemiological studies have evaluated the association between apolipoprotein E (ApoE) gene polymorphism and multiple sclerosis (MS) risk. However, the results remain conflicting. Therefore, in order to derive a more precise association of ApoE gene polymorphism with MS risk, we performed this meta-analysis. Systematic searches of electronic databases PubMed, Embase and Web of Science, as well as hand searching of the references of identified articles were performed. Twenty studies were identified, covering a total of 4080 MS cases and 2897 controls. The results showed evidence for significant association between ApoE ε2 mutation and MS risk (for ε2/ε4 versus ε3/ε3: OR = 1.74, 95% CI = 1.12–2.71, p = 0.01; for ε2 allele versus ε3 allele: OR = 1.16, 95% CI = 1.01–1.35, p = 0.04). In the subgroup analysis by ethnicity, the similar results were obtained among Europeans (for ε2/ε4 versus ε3/ε3: OR = 1.81, 95% CI = 1.14–2.87, p = 0.01; for ε2 allele versus ε3 allele: OR = 1.19, 95% CI = 1.02–1.38, p = 0.03). After excluding the outlier studies by observing Galbraith plot, marginal association was found between ApoE ε3/ε4 genotype and the protective factor for MS (for ε3/ε4 versus ε3/ε3: OR = 0.86, 95% CI = 0.75–0.99, p = 0.04). In summary, the present meta-analysis provides evidence that ApoE ε2 mutation is associated with MS risk. In addition, ApoE ε3/ε4 genotype appears to be a protective factor for MS.     

Mammary hypertrophy is not associated with increased estrogen receptors

Estrogen promotes secondary female sex characteristics, including breast enlargement. Since excessive breast hypertrophy is unrelated to elevated serum estrogen levels, it has been postulated that the enlarged breast is a hypersensitive "target organ." At the cellular level, estrogen crosses the cell membrane, is bound to a cytoplasmic estrogen receptor (ER), and induces the formation of specific anabolic proteins. In breast cancer, this estrogen receptor is regarded as a measure of the sensitivity of the cell to estrogen. To determine if mammary hypertrophy is related to an increase in the number of estrogen receptors, we assayed breast tissue, not fat, from 25 consecutive breast reductions. The median age of patients was 26 years (17 to 77 years), with 752 gm per breast removed on average. Twenty-four percent of the patients were taking estrogens, primarily birth control bills. Cellular estrogen-receptor status was measured by a standardized cytosol extraction radioactive estradiol technique. Estrogen receptors were undetectable (less than 3 fmol/mg cytosol protein) in all patients. We conclude that estrogen receptors alone, and hence estrogen, are not a determinant in mammary hypertrophy. If the enlarged breast is a "target organ," it is by another mechanism.     

Transplantation of a Mammary Stromal Cell Line into a Mammary Fat Pad: Development of the Site-Specific in Vivo Analysis System for Mammary Stromal Cells

The interaction between mammary epithelial and stromal tissue is considered to be important in breast tissue development. In this study, we developed a transplantation procedure for the mammary stromal fibroblastic cell line (MSF) to examine its life in vivo. First we established MSF cells which stably expressed lacZ (lacZ/MSF) and had characteristics of mammary stromal cells. The lacZ/MSF cells were then transplanted into a cleared mammary fat pad of syngenic mice with and without mammary primary epithelial organoids. Whole mount X-gal and carmine staining of the transplants revealed that a number of undifferentiated lacZ/MSF cells survived around the mammary epithelial tissue when transplanted with organoids. These results indicate that transplantation of MSF cells into mammary fat pad was accomplished by co-transplantation with primary mammary organoids. Finally, we discuss the application of transplantation procedure for in vivo studies of the mammary stromal tissue development and stromal-epithelial interactions.     

Integrated data management and validation platform for phosphorylated tandem mass spectrometry data

MS/MS is a widely used method for proteome‐wide analysis of protein expression and PTMs. The thousands of MS/MS spectra produced from a single experiment pose a major challenge for downstream analysis. Standard programs, such as MASCOT, provide peptide assignments for many of the spectra, including identification of PTM sites, but these results are plagued by false‐positive identifications. In phosphoproteomic experiments, only a single peptide assignment is typically available to support identification of each phosphorylation site, and hence minimizing false positives is critical. Thus, tedious manual validation is often required to increase confidence in the spectral assignments. We have developed phoMSVal, an open‐source platform for managing MS/MS data and automatically validating identified phosphopeptides. We tested five classification algorithms with 17 extracted features to separate correct peptide assignments from incorrect ones using over 2600 manually curated spectra. The naïve Bayes algorithm was among the best classifiers with an AUC value of 97% and PPV of 97% for phosphotyrosine data. This classifier required only three features to achieve a 76% decrease in false positives as compared with MASCOT while retaining 97% of true positives. This algorithm was able to classify an independent phosphoserine/threonine data set with AUC value of 93% and PPV of 91%, demonstrating the applicability of this method for all types of phospho‐MS/MS data. PhoMSVal is available at http://csbi.ltdk.helsinki.fi/phomsval .