Heart extracellular matrix supports cardiomyocyte differentiation of mouse embryonic stem cells.

We have evaluated the effect of heart extracellular matrix (ECM) on the cardiomyocyte differentiation of mouse embryonic stem cells (ES cells) using de-cellularized heart tissue. Several lines of evidence indicate that ECM plays significant roles in cell proliferation, cell death and differentiation, but role of ECM possessing a 3D structure in differentiation has not been studied in detail. We found that there are substantial differences in the quantitative protein profiles of ECM in SDS-treated heart tissue compared to that of liver tissue, as assessed by iTRAQ™ quantitative proteomics analysis. When mouse ES cells were cultured on thin (60 µm) sections of de-cellularized tissue, the expression of cardiac myosin heavy chain (cMHC) and cardiac troponin I (cTnI) was high in ES cells cultured on heart ECM compared with those cultured on liver ECM. In addition, the protein expression of cMHC and cTnI was detected in cells on heart ECM after 2 weeks, which was not detectable in cells on liver ECM. These results indicate that heart ECM plays a critical role in the cardiomyocyte differentiation of ES cells. We propose that tissue-specific ECM induced cell lineage specification through mechano-transduction mediated by the structure, elasticity and components of ECM.

Membrane proteins of human fetal primitive nucleated red blood cells.

In humans, primitive fetal nucleated red blood cells (FNRBCs) are thought to be as vital for embryonic life as their counterpart, adult red blood cells (adult RBCs) are in later-gestation fetuses and adults. Unlike adult RBCs, the identity and functions of FNRBC proteins are poorly understood owing to a scarcity of FNRBCs for proteomic investigations. The study aimed to investigate membrane proteins of this unique cell type. We present here, the first report on the membrane proteome of human primitive FNRBCs investigated by two-dimensional liquid chromatography coupled with mass-spectrometry (2D-LCMS/MS) and bioinformatics analysis. A total of 273 proteins were identified, of which 133 (48.7%) were membrane proteins. We compared our data with membrane proteins of adult RBCs to identify common, and unique, surface membrane proteins. Twelve plasma membrane proteins with transmembrane domains and eight proteins with transmembrane domains but without known sub-cellular location were identified as unique-to-FNRBCs. Except for the transferrin receptor, all other 19 unique-to-FNRBC membrane proteins have never been described in RBCs. Reverse-transcriptase PCR (RT-PCR) and immunocytochemistry validated the 2D-LCMS/MS data. Our findings provide potential surface antigens for separation of primitive FNRBCs from maternal blood for noninvasive prenatal diagnosis, and to understand the biology of these rare cells.

Differential recovery of membrane proteins after extraction by aqueous methanol and trifluoroethanol.

Cell membrane proteome analysis is limited by inherent membrane hydrophobicity. Conventional membrane protein extraction techniques use detergents, chaotropes and organic acids that require sample clean-up or pH adjustment, and are associated with significant sample loss. We extracted membrane proteins from red blood cells (RBCs) using methanol (MeOH), trifluoroethanol (TFE) and urea, and identified membrane proteins using 2-D LC coupled with MALDI-TOF/TOF-MS. We show that organic solvents MeOH- and TFE-based methods have membrane protein analysis efficiencies comparable to urea, and are complementary for the recovery of both hydrophilic and hydrophobic peptides. The mean grand average of hydropathicity (GRAVY) value of identified peptides from the TFE-based method (-0.107) was significantly higher than that of the MeOH-based method (-0.465) (p<0.001). Sequential and adjunctive use of the organic solvents MeOH and TFE increases the number of proteins identified, and the confidence of their identification. We show that this strategy is effective for shotgun membrane proteome analysis.

SPLASH: systematic proteomics laboratory analysis and storage hub.

In the field of proteomics, the increasing difficulty to unify the data format, due to the different platforms/instrumentation and laboratory documentation systems, greatly hinders experimental data verification, exchange, and comparison. Therefore, it is essential to establish standard formats for every necessary aspect of proteomics data. One of the recently published data models is the proteomics experiment data repository [Taylor, C. F., Paton, N. W., Garwood, K. L., Kirby, P. D. et al., Nat. Biotechnol. 2003, 21, 247-254]. Compliant with this format, we developed the systematic proteomics laboratory analysis and storage hub (SPLASH) database system as an informatics infrastructure to support proteomics studies. It consists of three modules and provides proteomics researchers a common platform to store, manage, search, analyze, and exchange their data. (i) Data maintenance includes experimental data entry and update, uploading of experimental results in batch mode, and data exchange in the original PEDRo format. (ii) The data search module provides several means to search the database, to view either the protein information or the differential expression display by clicking on a gel image. (iii) The data mining module contains tools that perform biochemical pathway, statistics-associated gene ontology, and other comparative analyses for all the sample sets to interpret its biological meaning. These features make SPLASH a practical and powerful tool for the proteomics community.

Proteomic studies of the Singapore grouper iridovirus.

The Singapore grouper iridovirus (SGIV) genome consists of a double-stranded circular DNA of 140,131 base pairs with 162 predicted open reading frames. Our earlier study using peptide mass fingerprints generated from MALDI-TOF MS led to the identification of 26 viral proteins. The present investigation aimed to achieve a more comprehensive and precise identification of the SGIV viral proteome by two workflows: one-dimensional gel electrophoresis (1-DE) separation followed by protein identification by MALDI-TOF/TOF MS/MS (1-DE-MALDI workflow) and shotgun proteomics in which the whole virus was digested by trypsin and the resulting peptides were separated by nano-LC and analyzed by MALDI-TOF/TOF MS/MS (LC-MALDI workflow). In total, 44 viral proteins were identified, 25 of which were reported for the first time. Fourteen proteins were uniquely identified by the 1-DE-MALDI workflow, whereas another 10 proteins were only identified by the LC-MALDI workflow with 20 proteins found by both approaches. Moreover 13 proteins were found to have acetylated N termini. Twenty-three proteins identified contain predicted transmembrane domains, accounting for 52.3% of the total proteins identified. RT-PCR confirmed the transcription products of all the identified viral proteins. A large number of proteins identified by both the 1-DE-MALDI and the LC-MALDI workflows from this study have significantly enhanced the coverage of the SGIV proteome. The SGIV proteome is at present the only iridoviral proteome that has been extensively characterized. Our results should provide further insights into the biology of SGIV and other iridoviruses.