Elastic image registration of 2-D gels for differential and repeatability studies

One of the main applications of electrophoretic 2-D gels is the analysis of differential responses between different conditions. For this reason, specific spots are present in one of the images, but not in the other. In some other occasions, the same experiment is repeated between 2 and 12 times in order to increase statistical significance. In both situations, one of the major difficulties of these analysis is that 2-D gels are affected by spatial distortions due to run-time differences and dye-front deformations, resulting in images that are significantly dissimilar not only because of their content, but also because of their geometry. In this technical brief, we show how to use free, state-of-the-art image registration and fusion algorithms developed by us for solving the problem of comparing differential expression profiles, or computing an "average" image from a series of virtually identical gels.     

Sources of Variability among Replicate Samples Separated by Two-Dimensional Gel Electrophoresis

Two-dimensional gel electrophoresis (2DE) offers high-resolution separation for intact proteins. However, variability in the appearance of spots can limit the ability to identify true differences between conditions. Variability can occur at a number of levels. Individual samples can differ because of biological variability. Technical variability can occur during protein extraction, processing, or storage. Another potential source of variability occurs during analysis of the gels and is not a result of any of the causes of variability named above. We performed a study designed to focus only on the variability caused by analysis. We separated three aliquots of rat left ventricle and analyzed differences in protein abundance on the replicate 2D gels. As the samples loaded on each gel were identical, differences in protein abundance are caused by variability in separation or interpretation of the gels. Protein spots were compared across gels by quantile values to determine differences. Fourteen percent of spots had a maximum difference in intensity of 0.4 quantile values or more between replicates. We then looked individually at the spots to determine the cause of differences between the measured intensities. Reasons for differences were: failure to identify a spot (59%), differences in spot boundaries (13%), difference in the peak height (6%), and a combination of these factors (21). This study demonstrates that spot identification and characterization make major contributions to variability seen with 2DE. Methods to highlight why measured protein spot abundance is different could reduce these errors.     

Initial proteome analysis of mature barley seeds and malt

Several barley (Hordeum vulgare) cultivars are used in the production of malt for brewing. The malt quality depends on the cultivar, its growth and storage conditions, and the industrial process. To enhance studies on malt quality, we embarked on a proteome analysis approach for barley seeds and malt. The proteome analysis includes two-dimensional (2-D) gel electrophoresis, mass spectrometry, and bioinformatics for identification of selected proteins. This project initially focused on proteins in major spots in the neutral isoelectric point range (pI 4-7) including selected spots that differ between four barley cultivars. The excellent malting barley cultivar Barke was used as reference. Cultivar differences in the 2-D gel spot patterns are observed both at the seed and the malt level. In seed extracts one of the proteins causing variations has been identified as an alpha-amylase/trypsin inhibitor. In malt extracts multiple forms of the alpha-amylase isozyme 2 have been identified in varying cultivar characteristic spot patterns. The present identification of proteins in major spots from 2-D gels includes 27 different proteins from 42 spots from mature seed extract, while only three specific proteins were identified by analysing 13 different spots from the corresponding malt extract. It is suggested that post-translational processing causes the same protein to occur in different spots.     

Identification of biologic markers of the premature rupture of fetal membranes: proteomic approach

In obstetrics, premature rupture of the membranes (PROM) is a frequent observation which is responsible for many premature deliveries. PROM is also associated with an increased risk of fetal and maternal infections. Early diagnosis is mandatory in order to decrease such complications. Despite that current biological tests allowing the diagnosis of PROM are both sensitive and specific, contamination of the samples by maternal blood can induce false positive results. Therefore, in order to identify new potential markers of PROM (present only in amniotic blood, and absent in maternal blood), proteomic studies were undertaken on samples collected from six women at terms (pairs of maternal plasma and amniotic fluid) as well as on four samples of amniotic fluid collected from other women at the 17(th) week of gestation. All samples (N = 16) were analyzed by two-dimensional (2-D) high-resolution electrophoresis, followed by sensitive silver staining. The gel images were studied using bioinformatic tools. Analyses were focused on regions corresponding to pI between 4.5 and 7 and to molecular masses between 20 and 50 kDa. In this area, 646 +/- 113 spots were detected, and 27 spots appeared to be present on the gels of amniotic fluid, but were absent on those of maternal plasma. Nine out of these 27 spots were also observed on the gels of the four samples of amniotic fluids collected at the 17(th) week of pregnancy. Five of these 9 spots were unambiguously detected on preparative 2-D gels stained by Coomassie blue, and were identified by mass spectrometry analyses. Three spots corresponded to fragments of plasma proteins, and 2 appeared to be fragments of proteins not known to be present in plasma. These 2 proteins were agrin (SWISS-PROT: O00468) and perlecan (SWISS-PROT: P98160). Our results show that proteomics is a valuable approach to identify new potential biological markers for future PROM diagnosis.     

Mass spectrometry-based label free quantification of gel separated proteins

Co-migrating proteins in 2D PAGE spots cause difficulties in the assignment of quantitative data obtained from the staining density of a gel spot. We present an application of a label free LC-MS quantitative method that can overcome problems like this. Protein mixtures were prepared with varying compositions, and were run on either 1D or 2D PAGE. Relative and absolute quantitative evaluation was carried out using a simple but reliable method based on integrated MS signals of the three most intensive peptides of each protein. The efficacy of digestion and peptide extraction is, however, influenced by different factors in gel from those in solution, hence the method had to be validated via a quantitative assessment of proteins from 1D or 2D gels. Our findings suggest that a reliable relative quantification is viable using peptide ion intensities when protein levels in two gels have to be compared. In the case of 2D gels, label free MS quantification provides more precise results on changes of protein expression levels than gel spot intensity-based measurements, especially in the case of overlapping proteins. Absolute amounts of different proteins in 1D or 2D gels can be evaluated to a reasonable precision.     

Proteome analysis of rat hippocampal neurons by multiple large gel two-dimensional electrophoresis

The goal of the present study was to detect as many protein spots as possible in mammalian cells using two-dimensional gel electrophoresis (2-DE). For proteome analysis, it is of importance to reveal as many proteins as possible. A single standard 2-DE gel (pH 3-10, 18 cm x 20 cm, 13.5% gel) could detect 853 spots from proteins of cultured rat hippocampal neurons when visualized by silver staining. To increase the resolution of the separation and the number of detectable proteins by 2-DE, we utilized seven different narrow pH range immobilized pH gradients in the first dimension. In the second dimension, fourteen long SDS polyacrylamide gels were used: seven 7.5% gels for the separation of high molecular mass proteins (> or = 40 kDa) and seven 13.5% gels for the separation of low molecular mass proteins (< or = 40 kDa). Three hundred and sixty microg of proteins from cultured hippocampal neurons were loaded on to individual gels and visualized by silver staining. All 14 gel images were assembled into a 70 cm x 67 cm cybergel that contained 6677 protein spots, thereby indicating that the utilization of the present strategy led to a 783% increase in the number of detected spots in comparison to the standard procedure. Loading double the amount (720 microg) of proteins on to a 13.5% gel led to a 184% increase in the number of detected spots, thereby indicating that the present strategy has a potential to display more protein spots in the cybergels.     

Sinorhizobium meliloti metabolism in the root nodule: a proteomic perspective

The proteome of the model symbiotic bacterium, Sinorhizobium meliloti was examined to determine the enzymatic reactions and cell processes that occur when S. meliloti occupies the root nodules of Medicago truncatula and Melilotus alba. The proteomes of the nodule bacteria were compared to that of S. meliloti grown under laboratory cultured conditions as an additional control. All the detectable protein spots on the two-dimensional (2-D) gels between pH 4-7 were analyzed. In total, the identity of proteins in 1545 spots from 2-D gels was determined using peptide mass fingerprinting. There were clear differences in the proteome of nodule bacteria and cultured bacteria and putative nodule-specific and nodule suppressed proteins were identified. The data were analyzed using metabolic pathway prediction programs and used to review the biochemical and genetic studies that had been done previously on S. meliloti over several decades. There was a broad congruency between the proteomic and biochemical data when the overall pathways of central carbon and nitrogen metabolism were considered. A selective suite of ABC-type transporters was present in nodule bacteria that were biased towards the transport of amino acids and inorganic ions (P and Fe) suggesting that a highly specialized nutrient exchange was occurring between the nodule bacteria and the host. Proteins prominent in nodule bacteria were those involved in the pathways for vitamin synthesis and stress-related processes (chaperoning, heat shock, detoxification of reactive oxygen species, regulation of stress and osmo-regulation). Some of these proteins were found only in nodule bacteria. These results show the extent of the shift in metabolism that occurs when S. meliloti invades legume plants and establishes a nitrogen fixing symbiosis.     

Mass spectrometric proteome analysis for profiling temperature-dependent changes of protein expression in wild-type Caenorhabditis elegans

We investigated the effect of cultivation temperatures on the protein expression levels in the fourth larval stage of the postembryonic development of wild-type Caenorhabditis elegans by mass spectrometric proteome analysis. From the 64 protein spots that were investigated, 5 spots were found reproducibly differently expressed when proteome maps derived from animals kept at 15 degrees C and at 25 degrees C, respectively, were compared. Spots of heat shock proteins HSP 70 (CE18679 or CE09682) and HSP 16 (CE14249) were present only in gels from protein extracts when worms were grown at 15 degrees C. Spots of two metabolic enzymes, the isocitrate dehydrogenase (CE10345) and the aspartic proteinase (CE21681) were detected only in cultures grown at the lower temperature as well. A protein with still unknown function (CE05036) was present only in gels from worm samples grown at 25 degrees C. We show for the first time by proteome analyses that cultivation of worms at the lowest temperature of the known physiological range (15 degrees C) already triggers a (weak) stress response in wild-type animals. This work led to the identification of "internal control proteins" in the wild-type strain for further characterization of temperature-sensitive strains using a proteomics approach.     

Comparison of protein enrichment strategies for proteome analysis of plasma

Efforts to discover protein biomarkers in plasma are hampered by the high abundance of few proteins, which interfere with the detection of low‐abundant proteins. Different commercially available protein‐partitioning products were tested for their ability to lower the detection limit of proteins in 2‐D gels. Immuno‐depletion using polyclonal antibodies raised against the proteins of highest abundance (Seppro IgY14 System) was compared with a two‐step immuno‐depletion strategy, where depletion with the Seppro IgY14 column was followed by depletion with the Seppro IgY‐SuperMix system. The third strategy tested was protein pre‐fractionation using the ProteoMiner kit, where proteins compete for binding sites on bead‐bound peptide hexamers with different binding properties. The pre‐fractionated protein samples were analyzed using 2‐DE, which revealed stunning differences in protein patterns. However, detectable protein spots in the different plasma fractions contained exclusively high‐abundant proteins normally present in plasma at concentrations between 1 μg and 40 mg/mL.     

The whereabouts of transmembrane proteins from rat brain synaptosomes during two-dimensional gel electrophoresis

Little is known about what happens to transmembrane proteins (TMP) in 2-DE. In order to obtain more insight into the whereabouts of these proteins we prepared membrane-enriched synaptosomes from rat frontal cortex and washed them with 7 M urea or Na(2)CO(3). From each preparation, 200 microg protein was loaded on 2-DE gels covering the 4-7 and 6-11 pH ranges, respectively. MALDI-MS/MS analysis detected only 3 TMP among 421 identified spots. However, when the samples had been washed with Na(2)CO(3), only few well-focused spots remained detectable on the gel covering the pH 6-11 range. Instead, a heavily ruthenium-stained smear became visible at the upper edge of the gel at the location where the samples had been applied by cup loading. LC-MS/MS analysis revealed that this smear contained 38 unfocused TMP with up to 12 transmembrane helices. After transfer to the second dimension, no major areas of protein staining were left on the IPG strips. This indicates that after extraction and denaturation the TMP may form high-molecular aggregates, due to their "hydrophobic interactions". These aggregates enter the IPG strips, but do not focus regularly. They are then transferred onto the 2-DE-gels, where they remain caught at the upper edge.     

Protein pattern of exhaled breath condensate and saliva

The proteins recovered in exhaled breath condensate (EBC) might be used to non-invasively monitor respiratory diseases. However, the range of proteins and their source are still unresolved and contamination by saliva or a similar protein pattern in the nasal and bronchial compartments may make interpretation of the data difficult. We studied nasal EBC (collected through a "free of touch" technique by negative pressure), oral tidal, and oral forced EBC (collected through a rebreathing valve as a saliva trap connected to tubing submerged into ice) and matched saliva samples from five healthy adult subjects. The protein samples were separated by two-dimensional electrophoresis and the silver stained gels were analyzed by Melanie 2 software. In both nasal and oral EBC, three spots (72 kDa/isoelectric point (pI) 6.6-7.0, 66 kDa/pI 5.9-6.7 and 45-48 kDa/pI 8.0-8.6) were consistently present in all subjects. Several other proteins were only sporadically detected. Despite improbable saliva contamination (no phosphorus contamination in the same oral and nasal EBC, no amylase activity in 10 pairs of nasal and oral EBC collected by the same technique), on average 63% and 71% of the spots identified in oral and nasal EBC were also found in the matched individual saliva samples. Compared to saliva, the range and amount of protein in all types of EBC was very small. Even when collected free of saliva contamination the majority of proteins present in EBC was also found in saliva, suggesting that these proteins are present in both compartments, e.g. saliva and secretions of the lower airspaces. The quantification and identification of specific proteins in the various compartments is warranted in future studies to determine the practical value of EBC.     

A proteomic approach to identifying proteins differentially expressed in conidia and mycelium of the entomopathogenic fungus Metarhizium acridum

Metarhizium spp. is an important worldwide group of entomopathogenic fungi used as an interesting alternative to chemical insecticides in programs of agricultural pest and disease vector control. Metarhizium conidia are important in fungal propagation and also are responsible for host infection. Despite their importance, several aspects of conidial biology, including their proteome, are still unknown. We have established conidial and mycelial proteome reference maps for Metarhizium acridum using two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF MS). In all, 1130±102 and 1200±97 protein spots were detected in ungerminated conidia and fast-growing mycelia, respectively. Comparison of the two protein-expression profiles reveled that only 35% of the protein spots were common to both developmental stages. Out of 94 2-DE protein spots (65 from conidia, 25 from mycelia and two common to both) analyzed using mass spectrometry, seven proteins from conidia, 15 from mycelia and one common to both stages were identified. The identified protein spots exclusive to conidia contained sequences similar to known fungal stress-protector proteins (such as heat shock proteins (HSP) and 6-phosphogluconate dehydrogenase) plus the fungal allergen Alt a 7, actin and the enzyme cobalamin-independent methionine synthase. The identified protein spots exclusive to mycelia included proteins involved in several cell housekeeping biological processes. Three proteins (HSP 90, 6-phosphogluconate dehydrogenase and allergen Alt a 7) were present in spots in conidial and mycelial gels, but they differed in their locations on the two gels.     

Identification of proteins of potential diagnostic value for bovine paratuberculosis

Previously we showed that Mycobacterium paratuberculosis culture filtrates (CFs) contain more antigens that react with sera from infected cattle than do cellular extracts of the organism. The goal of the present study was to identify proteins of potential diagnostic value among these CF proteins. Proteins of potential interest were first separated by 2-DE. Roughly 240 CF protein spots were detected on CBB-stained gels using Phoretix 2D software. Of these, 83% reacted with serum from M. paratuberculosis-infected cattle in immunoblots. When bovine serum was absorbed with M. phlei antigens, however, only 37 of these antigenic protein spots were reactive. Twenty-four of these spots were selected for identification based on their immunoblot staining intensity and differences in pI and mass. A total of 14 proteins were ultimately identified by MS and BLAST searches as ModD, PepA, ArgJ, CobT, Antigen 85C, and nine hypothetical proteins. N-terminal peptide analysis of PepA, Antigen 85C, ModD, MAP1693c, MAP2168c, and MAP1022c showed that each protein has 27-39 amino acids that may function as a signal sequence suggesting they are secreted through a Sec-dependent pathway. These 14 proteins from M. paratuberculosis CF are strong candidates for use as antigens for improved serodiagnostic tests for bovine paratuberculosis.     

A proteomic approach to study pea (Pisum sativum) responses to powdery mildew (Erysiphe pisi)

As a global approach to gain a better understanding of the mechanisms involved in pea resistance to Erysiphe pisi, changes in the leaf proteome of two pea genotypes differing in their resistance phenotype were analyzed by a combination of 2-DE and MALDI-TOF/TOF MS. Leaf proteins from control non-inoculated and inoculated susceptible (Messire) and resistant (JI2480) plants were resolved by 2-DE, with IEF in the 5-8 pH range and SDS-PAGE on 12% gels. CBB-stained gels revealed the existence of quantitative and qualitative differences between extracts from: (i) non-inoculated leaves of both genotypes (77 spots); (ii) inoculated and non-inoculated Messire leaves (19 spots); and (iii) inoculated and non-inoculated JI2480 leaves (12 spots). Some of the differential spots have been identified, after MALDI-TOF/TOF analysis and database searching, as proteins belonging to several functional categories, including photosynthesis and carbon metabolism, energy production, stress and defense, protein synthesis and degradation and signal transduction. Results are discussed in terms of constitutive and induced elements involved in pea resistance against Erysiphe pisi.     

Evaluation of saturation labelling two-dimensional difference gel electrophoresis fluorescent dyes

Two-dimensional difference gel electrophoresis (2-D DIGE) enables an increased confidence in detection of protein differences. However, due to the nature of the minimal labelling where only approximately 5% of a given protein is labelled, spots cannot be directly excised for mass spectrometry (MS) analysis and detection sensitivity could be further enhanced. Amersham Biosciences have developed a second set of CyDye DIGE Cy 3 and Cy5 dyes, which aim to overcome these limitations through saturation-labelling of cysteine residues. The dyes were evaluated in relation to their sensitivity and dynamic range, their useability as multiplexing reagents and the possibility of direct spot picking from saturation-labelled gels for MS analysis. The saturation-labelling dyes were superior in sensitivity to their minimal-labelling counterparts, silver stain and Sypro Ruby, however, the resulting 2-D spot pattern was significantly altered from that of unlabelled or minimal-labelled protein. The dyes were found to be useful as multiplexing reagents although preferential labelling of proteins with one dye over another was observed but was controlled for through experimental design. Protein identities were successfully obtained from material directly excised from saturation-labelled gels eliminating the need for post-stained preparative gels.     

Mass Spectrometric Identification of In Vivo Phosphorylation Sites of Differentially Expressed Proteins in Elongating Cotton Fiber Cells

Two-dimensional gel electrophoresis (2-DE)-based proteomics approach was applied to extensively explore the molecular basis of plant development and environmental adaptation. These proteomics analyses revealed thousands of differentially expressed proteins (DEPs) closely related to different biological processes. However, little attention has been paid to how peptide mass fingerprinting (PMF) data generated by the approach can be directly utilized for the determination of protein phosphorylation. Here, we used the software tool FindMod to predict the peptides that might carry the phosphorylation modification by examining their PMF data for mass differences between the empirical and theoretical peptides and then identified phosphorylation sites using MALDI TOF/TOF according to predicted peptide data from these DEP spots in the 2-D gels. As a result, a total of 48 phosphorylation sites of 40 DEPs were successfully identified among 235 known DEPs previously revealed in the 2-D gels of elongating cotton fiber cells. The 40 phosphorylated DEPs, including important enzymes such as enolase, transketolase and UDP-L-rhamnose synthase, are presumed to participate in the functional regulation of numerous metabolic pathways, suggesting the reverse phosphorylation of these proteins might play important roles in elongating cotton fibers. The results also indicated that some different isoforms of the identical DEP revealed in our 2-DE-based proteomics analysis could be annotated by phosphorylation events. Taken together, as the first report of large-scale identification of phosphorylation sites in elongating cotton fiber cells, our study provides not only an excellent example of directly identifying phosphorylation sites from known DEPs on 2-D gels but also provides a valuable resource for future functional studies of phosphorylated proteins in this field.     

Separation of human erythrocyte membrane associated proteins with one-dimensional and two-dimensional gel electrophoresis followed by identification with matrix-assisted laser desorption/ionization-time of flight mass spectrometry

A classical proteomic analysis was used to establish a reference map of proteins associated with healthy human erythrocyte ghosts. Following osmotic lysis and differential centrifugation, ghost proteins were separated by either one-dimensional gel electrophoresis (1-DE) or two-dimensional gel electrophoresis (2-DE). Selected protein bands or spots were excised and trypsinized before mass spectrometric analyses and data mining was performed using the SWISS-PROT and NCBI nonredundant databases. A total of 102 protein spots from a 2-D gel were successfully identified. These corresponded to 59 distinct polypeptides with the remaining 43 being isoforms. As for the 1-D gel, 44 polypeptides were identified, of which 19 were also found on the 2-D gel. Most of the 19 common polypeptides were membrane cytoskeletal proteins that are often referred to as the "band" proteins. The remaining 25 polypeptides that were found exclusively on 1-D gels were proteins with high hydrophobicity (e.g., sorbitol dehydrogenase and glucose transporter) and high molecular mass (e.g., Kell blood group glycoprotein and Janus-kinase 2). A higher number of signaling proteins was also identified on 1-D gels compared to 2-D gels. These included Ras, cAMP dependent protein kinase and TGF-beta receptor type 1 precursor.     

Comparison of statistical approaches for the analysis of proteome expression data of differentiating neural stem cells

Comparative proteomic studies often use statistical tests included in the software for the analysis of digitized images of two-dimensional electrophoresis gels. As these programs include only limited capabilities for statistical analysis, many studies do not further describe their statistical approach. To find potential differences produced by different data processing, we compared the results of (1) Student's t-test using a spreadsheet program, (2) the intrinsic algorithms implemented in the Phoretix 2D gel analysis software, and (3) the SAM algorithm originally developed for microarray analysis. We applied the algorithms to proteome data of undifferentiated neural stem cells versus in vitro differentiated neural stem cells. We found (1) 367 spots differentially expressed using Student's t-test, (2) 203 spots using the algorithms in Phoretix 2D, and (3) 119 spots using the algorithms in SAM, respectively, with an overlap of 42 spots detected by all three algorithms. Applying different statistical approaches on the same dataset resulted in divergent set of protein spots labeled as statistically "significant". Currently, there is no agreement on statistical data processing of 2DE datasets, but the statistical tests applied in 2DE studies should be documented. Tools for the statistical analysis of proteome data should be implemented and documented in the existing 2DE software.     

Elsie 4: quantitative computer analysis of sets of two-dimensional gel electrophoretograms

We have developed and refined a system for quantitative computer analysis of two-dimensional polyacrylamide gel electrophoretograms. The system, named Elsie 4, is based on one described by Vo et al. (Anal. Biochem. 112, 258 (1981]. It is highly automated. Elsie 4 can find, and measure the intensity of, almost any spot resolvable on two-dimensional gels, including spots visible only as shoulders off larger spots and spots so close together that there is no "valley" between them. It can automatically match the spot patterns of different gels, potentially without the need for a user to provide landmark matches. The matches between paired gels let us follow the synthesis of any spot through a set of gels. Information about a group of matched spots can be obtained by referring to any spot in the group. There is generally no need for a standard or reference gel. Data for two experiments can be combined and compared by matching any gel in one experiment with any gel in the other. There are ways to automatically find possible mismatches in sets of gels. Scans and the results of the analysis can be shown on an image displayer. The programs use function libraries; this helps ensure consistency and increase portability. The programs and functions can be linked together in many ways; this lets users build custom programs for analysis of specific experiments.     

The QUEST system for quantitative analysis of two-dimensional gels

The strategies and methods used by the QUEST system for two-dimensional gel analysis are described, and the performance of the system is evaluated. Radiolabeled proteins, resolved on two-dimensional gels and detected using calibrated exposures to film, are quantified in units of disintegrations per minute or as a fraction of the total protein radioactivity applied to the gel. Spot quantitation and resolution of overlapping spots is performed by two-dimensional gaussian fitting. Pattern matching is carried out for groups of gels called matchsets, and within each matchset every gel is matched to every other gel. During the matching process, spots are automatically added to each pattern at positions where unmatched spots were detected in other patterns. This results in enhanced accuracy for both spot detection and for matching. The spot fitting procedure is repeated after matching. Tests show that up to 97% of spots in each pattern can be matched and that fewer than 1% of the spots are matched inconsistently. Approximately 2000 proteins are detected from typical gels. Of these 1600 are high quality spots. Tests to measure the coefficient of variation of spot quantitation versus spot quality show that the average coefficient of variation for high quality spots is 21%. The intensities of the detected proteins range from 4 to 20,000 ppm of total protein synthesis. The QUEST analysis system has been used to build a quantitative database for the proteins of normal and transformed REF52 cells, as presented in the accompanying reports (Garrels, J., and Franza, B. R., Jr. (1989) J. Biol. Chem. 264, 5283-5298, 5299-5312).