Proteome analysis of a human heptocellular carcinoma cell line, HCC-M: an update.

Recently, we reported the proteome analysis of a human hepatocellular carcinoma cell line, HCC-M (Electrophoresis 2000, 21, 1787-1813), using two-dimensional gel electrophoresis (2-DE) and matrix assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF-MS). From a total of 408 unique spots excised from the 2-DE gel, 301 spots yielded good MALDI spectra. Out of these, 272 spots had matches returned from the database search leading to the identification of these proteins. Here, we report the results on the identification of the remaining 29 spots using nanoelectrospray ionization-tandem mass spectrometry (nESI-MS/MS). First, "peptide tag sequencing" was performed to obtain partial amino acid sequences of the peptides to search the SWISS-PROTand NCBI nonredundant protein databases. Spots that were still not able to find any matches from the databases were subjected to de novo peptide sequencing. The tryptic peptide sequences were used to search for homologues in the protein and nucleotide databases with the NCBI Basic Local Alignment Search Tool (BLAST), which was essential for the characterization of novel or post-translationally modified proteins. Using this approach, all the 29 spots were unambiguously identified. Among them, phosphotyrosyl phosphatase activator (PTPA), RNA-binding protein regulatory subunit, replication protein A 32 kDa subunit (RP-A) and N-acetylneuraminic acid phosphate synthase were reported to be cancer-related proteins.     

Large-scale muLC-MS/MS for silver- and Coomassie blue-stained polyacrylamide gels

2-DE combined with LC-MS/MS has become a routine, reliable protein separation and identification technology for proteome analysis. The demand for large-scale protein identifications after 2-DE separation requires a sensitive and high-throughput LC-MS/MS method. In this report, a simple, splitless, fully automated capillary LC-MS/MS system was described for the large-scale identification of proteins from gels stained with either silver or CBB. The gel samples were digested and peptides were extracted using an in-gel digestion workstation. The peptides were automatically introduced into a capillary column by an autosampler connected to an HPLC pump. A nanoLC pump was then used to deliver the gradient and elute the peptides from the capillary column directly into an LCQ IT mass spectrometer. Neither a peptide trapping setting nor a flow split is needed in this simple setup. The collected MS/MS spectra were then automatically searched by SEQUEST, and filtered and organized by DTASelect. Hundreds of silver-stained or CBB-stained Shewanella oneidensis, Geobacter sulfurreducens, and Geobacter metallireducens proteins separated by denaturing or nondenaturing 2-DE were digested and routinely analyzed using this fully automated muLC-MS/MS system. High peptide hits and sequence coverage were achieved for most CBB-stained gel spots. About 75% of the spots were found to contain multiple proteins. Although silver staining is not commonly thought to be optimal for MS analysis, protein identifications were successfully obtained from silver-stained 2-DE spots detected using methods with and without formaldehyde for protein fixation.     

Study of Burkitt lymphoma cell line proteins by high resolution two-dimensional gel electrophoresis and nanoelectrospray mass spectrometry

We paper describe a mass spectrometric approach generally applicable for the rapid identification and characterization of proteins isolated by two-dimensional gel electrophoresis (2-DE). The highly sensitive nanoflow-electrospray mass spectrometry employing a quadrupole-time of flight mass spectrometer was used for the direct identification of proteins from the peptide mixture generated from only one high resolution 2-DE gel without high performance liquid chromatography (HPLC) separation or Edman sequencing. Due to the high sensitivity and high mass accuracy of the instrument employed, this technique proved to be a powerful tool for the identification of proteins from femtomole amounts of materials. We applied the technique for the investigation of Burkitt lymphoma BL60 cell proteins. This cell line has been used as a model to assign apoptosis-associated proteins by subtractive analysis of normal and apoptotic cells. From the nuclear fraction of these cells, 36 protein spots were examined, from only one micropreparative Coomassie Brilliant Blue R-250 stained gel, after proteolytic digestion by matrix assisted laser desorption ionization (MALDI) and nanospray mass spectrometry (MS). In combination with database searches, of 33 proteins were successfully identified by nanospray-MS/MS-sequencing of up to eight peptides per protein. Three proteins were new proteins not listed in any of the available databases. Some of the identified proteins are known to be involved in apoptosis processes, the others were common proteins in the eukaryotic cell. The given technique and the protein data are the basis for construction of a database to compare normal and apoptosis-induced cells and, further, to enable fast screening of drug impact in apoptosis-associated processes.     

Sequit: software for de novo peptide sequencing by matrix-assisted laser desorption/ionization post-source decay mass spectrometry

Peptide sequencing by mass spectrometry is gaining increasing importance for peptide chemistry and proteomics. However, available tools for interpreting matrix-assisted laser desorption/ionization post-source decay (MALDI-PSD) mass spectra depend on databases, and identify peptides by matching experimental data with spectra calculated from database sequences. This severely obstructs the identification of proteins and peptides not listed in databases or of variations, e.g. mutated proteins. The development of a new computer program for database-independent peptide sequencing by MALDI-PSD mass spectrometry is reported here. This computer program was validated by the determination of the correct sequences for various peptides including sequences listed in the sequence databases, but also for peptides that deviate from database sequences or are completely artificial. This strategy should substantially facilitate the identification of novel or variant peptides and proteins, and increase the power of MALDI-PSD analyses in proteomics.     

Efficient peptide mapping and its application to identify embryo proteins in rice proteome analysis

Using direct N-terminal analysis, only 31 N-terminally unblocked proteins out of 100 rice embryo proteins could be identified. To obtain protein sequence information for the remaining 69 blocked proteins, we developed a simple, efficient and rapid method. Using this method, we determined the peptide maps of 20 proteins per day in 10 pmol amounts. Applying this method to rice proteome analysis, we determined the internal sequences of all 69 blocked proteins. A total of 28 proteins out of 100 analyzed showed sequence similarity to the proteins with known functions in the SWISS-PROT and NCBI databases. Alternatively, we also used peptide mass fingerprinting determined by matrix assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF-MS) to identify the rice proteins separated by two-dimensional electrophoresis (2-DE). Although peptide-mass fingerprinting is a high-throughput method, we could not easily identify all the rice proteins or genes by this method, because the complete database information on rice, is not yet available and many proteins are post-translationally modified. Therefore, at present, the improved peptide mapping method as we report here is considered to be very useful in rice proteome analysis, especially for blocked proteins.     

Acid-labile surfactant improves in-sodium dodecyl sulfate polyacrylamide gel protein digestion for matrix-assisted laser desorption/ionization mass spectrometric peptide mapping

Mass spectrometry (MS) together with genome database searches serves as a powerful tool for the identification of proteins. In proteome analysis, mixtures of cellular proteins are usually separated by sodium dodecyl sulfate (SDS) polyacrylamide gel-based two-dimensional gel electrophoresis (2-DE) or one-dimensional gel electrophoresis (1-DE), and in-gel digested by a specific protease. In-gel protein digestion is one of the critical steps for sensitive protein identification by these procedures. Efficient protein digestion is required for obtaining peptide peaks necessary for protein identification by MS. This paper reports a remarkable improvement of protein digestion in SDS polyacrylamide gels using an acid-labile surfactant, sodium 3-[(2-methyl-2-undecyl-1,3-dioxolan-4-yl)methoxy]-1-propanesulfonate (ALS). Pretreatment of gel pieces containing protein spots separated by 2-DE with a small amount of ALS prior to trypsin digestion led to increases in the digested peptides eluted from the gels. Consistently, treatment of gel pieces containing silver-stained standard proteins and those separated from tissue extracts resulted in the detection of increased numbers of peptide peaks in spectra obtained by matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOFMS). Hence the present protocol with ALS provides a useful strategy for sensitive protein identification by MS.     

A proteome database of human primary T helper cells

We have established the first public database of human primary T helper cell proteome using two-dimensional electrophoresis (2-DE) and matrix assisted laser desorption/ionization-time of flight-mass spectrometry. For the database, CD4+ human T cells were activated with anti-CD3+anti-CD28 antibodies and metabolically labeled with [35S]methionine for 24 h. Cells were lysed and proteins were separated by 2-DE. About 1500 protein spots were detected in the resulting 2-DE gels with silver staining, and 2000 spots with autoradiography. We have identified 91 proteins from the 2-DE gels using peptide mass fingerprinting, and annotated them to our database. The identified proteins are also linked to SWISS-PROTand NCBI protein databases. Our database is available via the Internet at http://www3.btk.utu.fi:8080/Genomics/Proteomics/Database.     

The establishment of a human liver nuclei two-dimensional electrophoresis reference map

This short communication describes the establishment of a two-dimensional electrophoresis (2-DE) reference map of nuclear proteins isolated from human liver. The human liver nuclei 2-DE reference map contains 1497 spots. In an initial identification study using peptide mass fingerprinting as a means of protein identification we were able to identify 26 spots corresponding to 15 different proteins. The human liver nuclei 2-DE reference map is now included in the SWISS-2DPAGE database, which can be accessed through the ExPASy server (http://www.expasy.ch/ch2d/).     

Iterative data analysis is the key for exhaustive analysis of peptide mass fingerprints from proteins separated by two-dimensional electrophoresis

Peptide mass fingerprinting (PMF) is a powerful tool for identification of proteins separated by two-dimensional electrophoresis (2-DE). With the increase in sensitivity of peptide mass determination it becomes obvious that even spots looking well separated on a 2-DE gel may consist of several proteins. As a result the number of mass peaks in PMFs increased dramatically leaving many unassigned after a first database search. A number of these are caused by experiment-specific contaminants or by neighbor spots, as well as by additional proteins or post-translational modifications. To understand the complete protein composition of a spot we suggest an iterative procedure based on large numbers of PMFs, exemplified by PMFs of 480 Helicobacter pylori protein spots. Three key iterations were applied: (1) Elimination of contaminant mass peaks determined by MS-Screener (a software developed for this purpose) followed by reanalysis; (2) neighbor spot mass peak determination by cluster analysis, elimination from the peak list and repeated search; (3) re-evaluation of contaminant peaks. The quality of the identification was improved and spots previously unidentified were assigned to proteins. Eight additional spots were identified with this procedure, increasing the total number of identified spots to 455.     

Thermal denaturation produced degenerative proteins and interfered with MS for proteins dissolved in lysis buffer in proteomic analysis

In 1-DE, proteins were traditionally mixed with the standard Laemmli buffer and boiled for several minutes. Recently, proteins dissolved in lysis buffer were used to produce better-resolved 2-DE gels, but thermal denaturation procedure still remained in some proteomic analysis. To determine the detailed effects of thermal denaturation on SDS-PAGE and MS, both 1-DE and 2-DE were performed using proteins heated at 100°C for different periods of time, and 17 protein bands/spots were positively identified by MALDI TOF/TOF MS/MS. Protein profiles on both 1-DE and 2-DE gels changed obviously and more polydisperse bands/spots were observed with increased heating time for over-heated samples. Based on these observations, an alternative protein marker-producing method was designed by directly dissolving protein standards without BSA into lysis buffer. This new kind of protein marker could be stored at room temperature for a long time, thus was more convenient for using and shipping. The identification of 17 proteins via MS and comparison of their identities revealed MASCOT-searched scores, number of both matched peptides, total searched peptides and sequence coverage became progressively lower with increasing denaturation intensity, probably due to the interference of thermal denaturation on trypsin cleavage efficiency and produced redundant modified peptides. Therefore, it was concluded that thermal denaturation not only changed the protein profiles and produced more polydisperse protein bands/spots, but also heavily interfered with the subsequent MS analysis, hence not recommended in future proteomic analysis for proteins dissolved in lysis buffer.     

Proteomic analysis of the human colon carcinoma cell line (LIM 1215): development of a membrane protein database

The proteomic definition of plasma membrane proteins is an important initial step in searching for novel tumor marker proteins expressed during the different stages of cancer progression. However, due to the charge heterogeneity and poor solubility of membrane-associated proteins this subsection of the cell's proteome is often refractory to two-dimensional electrophoresis (2-DE), the current paradigm technology for studying protein expression profiles. Here, we describe a non-2-DE method for identifying membrane proteins. Proteins from an enriched membrane preparation of the human colorectal carcinoma cell line LIM1215 were initially fractionated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE, 4-20%). The unstained gel was cut into 16 x 3 mm slices, and peptide mixtures resulting from in-gel tryptic digestion of each slice were individually subjected to capillary-column reversed phase-high performance liquid chromatography (RP-HPLC) coupled with electrospray ionization-ion trap-mass spectrometry (ESI-IT-MS). Interrogation of genomic databases with the resulting collision-induced dissociation (CID) generated peptide ion fragment data was used to identify the proteins in each gel slice. Over 284 proteins (including 92 membrane proteins) were identified, including many integral membrane proteins not previously identified by 2-DE, many proteins seen at the genomic level only, as well as several proteins identified by expressed sequence tags (ESTs) only. Additionally, a number of peptides, identified by de novo MS sequence analysis, have not been described in the databases. Further, a "targeted" ion approach was used to unambiguously identify known low-abundance plasma membrane proteins, using the membrane-associated A33 antigen, a gastrointestinal-specific epithelial cell protein, as an example. Following localization of the A33 antigen in the gel by immunoblotting, ions corresponding to the theoretical A33 antigen tryptic peptide masses were selected using an "inclusion" mass list for automated sequence analysis. Six peptides corresponding to the A33 antigen, present at levels well below those accessible using the standard automated "nontargeted" approach, were identified. The membrane protein database may be accessed via the World Wide Web (WWW) at http://www.ludwig. edu.au/jpsl/jpslhome.html.     

Identification of low-abundance proteins of bovine colostral and mature milk using two-dimensional electrophoresis followed by microsequencing and mass spectrometry

We identified several low-abundance proteins of bovine colostrum and mature milk using the immunoabsorption technique and two-dimensional electrophoresis (2-DE) followed by microsequencing and mass spectrometry. Two major milk proteins, beta-casein and immunoglobulin G (IgG), were effectively removed from the milk using immunoabsorbents. Milk samples before and after immunoabsorption were separated by 2-DE. Protein identification of the spots on 2-DE was performed by either gel comparison, microsequencing, matrix-assisted laser desorption/ionization-time of flight mass-spectrometry (MALDI-TOF-MS), peptide mass fingerprinting or peptide sequencing using tandem MS by hybrid quadrupole/orthogonal acceleration time of flight-MS (Q-TOF). Significant differences in protein patterns were observed between the low-abundance proteins of colostrum and mature milk. In addition, several low-abundance proteins including fibrinogen beta-chain, chitinase 3-like 1, alpha-antitrypsin, complement C3 alpha-chain, gelsolin and apolipoprotein H were observed only in colostrum. However, the level of beta-casein fragments increased significantly during this lactation period. alpha-Lactalbumin and beta-lactoglobulin as well as some low-abundance proteins including bovine serum albumin, serotransferrin and lactoferrin were identified in both colostral and mature milk. Low-abundance proteins in bovine colostrum may have special physiologic relevance to the health and development of calves early in lactation.     

Proteome analysis of human stomach tissue: separation of soluble proteins by two-dimensional polyacrylamide gel electrophoresis and identification by mass spectrometry

Two-dimensional gel electrophoresis (2-DE) maps for human stomach tissue proteins have been prepared by displaying the protein components of the tissue by 2-DE and identifying them using mass spectrometry. This will enable us to present an overview of the proteins expressed in human stomach tissues and lays the basis for subsequent comparative proteome analysis studies with gastric diseases such as gastric cancer. In this study, 2-DE maps of soluble fraction proteins were prepared on two gel images with partially overlapping pH ranges of 4-7 and 6-9. On the gels covering pH 4-7 and pH 6-9, about 900 and 600 protein spots were detected by silver staining, respectively. For protein identification, proteins spots on micropreparative gels stained with colloidal Coomassie Brilliant Blue G-250 were excised, digested in-gel with trypsin, and analyzed by peptide mass fingerprinting with delayed extraction-matrix assisted laser desorption/ionization-mass spectrometry (DE-MALDI-MS). In all, 243 protein spots (168 spots in acidic map and 75 spots in basic map) corresponding to 136 different proteins were identified. Besides these principal maps, overview maps (displayed on pH 3-10 gels) for total homogenate and soluble fraction, are also presented with some identifications mapped on them. Based on the 2-DE maps presented in this study, a 2-DE database for human stomach tissue proteome has been constructed and is available at http://proteome.gsnu.ac.kr/DB/2DPAGE/Stomach/. The 2-DE maps and the database resulting from this study will serve important resources for subsequent proteomic studies for analyzing the normal protein variability in healthy tissues and specific protein variations in diseased tissues.     

A two dimensional electrophoresis database of a human Jurkat T-cell line

About 2000 protein spots of human Jurkat T-cells were detected by high resolution two-dimensional gel electrophoresis (2-DE) and were characterized in terms of their isoelectric point and molecular mass. A 2-DE database was constructed and is available at http://www.mpiib-berlin.mpg.de/2D-PAGE/. At present the database contains 67 identified protein spots. These proteins were identified after tryptic digestion by peptide mass fingerprinting with delayed extraction-matrix assisted laser desorption/ionization-mass spectrometry (DE-MALDI-MS). Proteins with a sequence coverage of at least 30% were introduced in the database. This sequence coverage could not always be obtained by using only the matrix alpha-cyano-4-hydroxycinnamic acid (CHCA) for the mass analysis. Therefore, an additional mass spectrum was recorded by using 2,5-dihydroxybenzoic acid (DHB). Usually, additional mass peaks were detected and together with the mass spectrum of CHCA this resulted in the desired sequence coverage.     

人卵巢癌耐药细胞株的比较蛋白质组分析

本文采用高分辨二维凝胶电泳分离技术对人卵巢癌细胞株COC1及其耐药细胞株COC1/DDP中的蛋白质进行分离和差异表达分析, 应用基质辅助激光解吸电离-飞行时间质谱对酶解多肽进行测定[即测定蛋白质的肽质量指纹图(Peptide mass fingerprinting, PMF)], 并通过相应的数据库搜索来鉴定蛋白质. 为获得更准确的检索结果, 采用串联质谱技术对各肽段进行氨基酸测序, 并应用IPI-HUMAN数据库对上述检索结果进一步加以确认.      

Development of a database of amino acid sequences for human colon carcinoma proteins separated by two-dimensional polyacrylamide gel electrophoresis

The tandem use of preparative two-dimensional polyacrylamide gel electrophoresis (2-DE) and electroblotting onto polyvinylidene difluoride membranes has been employed to rapidly isolate a number of proteins from a crude cell extract of a human colon carcinoma cell line (LIM 1863). The immobilized proteins were located by staining with Coomassie Brilliant Blue R-250, and selected protein spots were excised and subjected to Edman degradation. Our results demonstrate that overall sequence yields in the 3-20 pmol range can be achieved on protein spots from four identical 2-DE gels; approximately 150-200 micrograms of total protein was applied to a single 2-DE gel. An approximate two-fold increase in sensitivity of phenylthiohydantoin-amino acid detection (subpicomole range) was achieved by fitting our commercial sequencers with a simple sample transfer device which permitted the analysis of the total phenylthiohydantoin-amino acid derivative. N-Terminal amino acid sequence data was obtained for thirteen electroblotted proteins. All of these sequences positively matched those of proteins of known structure listed in the available protein sequence databases. Approximately 40% of the electroblotted proteins did not yield N-terminal sequence information, presumably because they had blocked N-termini (either naturally or artifactually). Internal amino acid sequence information was obtained from three proteins isolated by preparative 2-DE. This was achieved by in situ digestion of the proteins in the gel matrix with Staphylococcus aureus V8 protease, electrophoresis of the generated peptides in a one-dimensional gel, electrotransfer of the peptides to a polyvinylidene difluoride membrane and microsequence analysis of the electroblotted peptides.     

Protein identification based on matrix assisted laser desorption/ionization-post source decay-mass spectrometry.

Due to its very short analysis time, its high sensitivity and ease of automation, matrix-assisted laser desorption/ionization (MALDI)-peptide mass fingerprinting has become the preferred method for identifying proteins of which the sequences are available in databases. However, many protein samples cannot be unambiguously identified by exclusively using their peptide mass fingerprints (e.g., protein mixtures, heavily posttranslationally modified proteins and small proteins). In these cases, additional sequence information is needed and one of the obvious choices when working with MALDI-mass spectrometry (MS) is to choose for post source decay (PSD) analysis on selected peptides. This can be performed on the same sample which is used for peptide mass fingerprinting. Although in this type of peptide analysis, fragmentation yields are very low and PSD spectra are often very difficult to interpret manually, we here report upon our five years of experience with the use of PSD spectra for protein identification in sequence (protein or expressed sequence tag (EST)) databases. The combination of peptide mass fingerprinting and PSD and analysis described here generally leads to unambiguous protein identification in the amount of material range generally encountered in most proteome studies.