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Comprehensive proteome analysis of ovarian cancers using liquid phase separation, mass mapping and tandem mass spectrometry: a strategy for identification of candidate cancer biomarkers.

A two-dimensional (2-D) liquid phase separation method, liquid isoelectric focusing followed by nonporous reversed-phase high performance liquid chromatography (HPLC), was used to separate proteins from human ovarian epithelial whole cell lysates. HPLC eluent was interfaced on-line to an electrospray ionization (ESI) time of flight (TOF) mass spectrometer to obtain accurate intact protein molecular weights (Mr). 2-D protein expression maps were generated displaying protein isoelectric point (pI) versus intact protein Mr. Resulting 2-D images effectively displayed quantitative differential protein expression in ovarian cancer cells versus non-neoplastic ovarian epithelial cells. Protein peak fractions were collected from the HPLC eluent, enzymatically digested, and analyzed by matrix-assisted laser desorption/ionization (MALDI) TOF-mass spectrometry (MS) peptide mass fingerprinting and by MALDI-quadrupole TOF tandem mass spectrometry peptide sequencing. Interlysate comparisons of differential protein expression between two ovarian adenocarcinoma cell lines, ES2 and MDAH-2774, and ovarian surface epithelial cells was performed. Five pI fractions from each sample were selected for comparative study and over 300 unique proteins were positively identified from the 2-D liquid expression maps using MS, which covered around 60% of proteins detected by on-line ESI-TOF-MS. This represents one of the most comprehensive proteomic analyses of ovarian cancer samples to date. Protein bands with significant up- or down-regulation in one cell line versus another as viewed in the 2-D expression maps were identified. This strategy may prove useful in identifying novel ovarian cancer marker proteins.

Biomarkers, Tumor↗

Development of a multiplexed microcapillary liquid chromatography system for high-throughput proteome analysis.

Comprehensive proteome analysis requires the identification (and quantification) of the proteins in samples consisting of thousands of proteins spanning a range of abundance of several orders of magnitude. The currency of proteome analysis by mass spectrometry is the peptides generated by protein proteolysis. The high sample complexity of such samples requires a large separation capacity, which is commonly achieved by fractionation of the mixture followed by further serial separations of each fraction. The sample throughput of proteome analysis is therefore limited by the need to sequentially process large numbers of samples. We have developed a novel four-plexed microcapillary liquid chromatography system for automated, high-throughput separation of complex peptide samples. The system supports the concurrent separation of four different samples by directing identically split solvent-gradient flows into four microcapillary C18 columns. The simple design of the system achieves multiplexed separation without the need for extra solvent pumps. Peak resolution, reproducibility, and parallel separating capacity of the system were investigated using standard peptides. The applicability of the system to high-throughput protein expression profiling was demonstrated in qualitative and quantitative analyses of protein expression in S. cerevisiae grown on two different carbon sources using the isotope-coded affinity tag (ICAT) reagent and matrix-assisted desorption/ionization quadrupole time-of-flight mass spectrometry.

Chromatography, High Pressure Liquid↗

Proteomic analysis of colonic myofibroblasts and effect on colon cancer cell proliferation.

BACKGROUND: The stromal microenvironment influences many steps of tumor progression through the elaboration of signals from myofibroblasts. The phosphatidylinositol 3-kinase (PI3K)/Akt pathway transduces signals initiated by growth factors and is involved in colonic epithelial proliferation. The purpose of this study was to determine (1) the influence of myofibroblasts on colon cancer cell proliferation and PI3K activity, and (2) the protein alterations associated with myofibroblasts derived from polyp versus normal margins. METHODS: Myofibroblasts were derived from polyps and corresponding normal mucosa. Myofibroblasts were cocultured with colon cancer cells HT29 stably transfected with green fluorescent protein and KM20 cells. Proliferation was quantitated by green fluorescent protein count and cytokeratin enzyme-linked immunosorbent assay. HT29 cells were incubated with conditioned medium from myofibroblasts, and the effect on proliferation and PI3K activity was determined by 5-bromo 2-deoxyuridine incorporation and Akt kinase assay, respectively. Protein profiles were obtained by SELDI-TOF MS analysis. RESULTS: In coculture experiments, all myofibroblasts significantly enhanced HT29 and KM20 cell proliferation. However, polyp myofibroblasts enhanced proliferation of the cancer cells to a greater extent than normal myofibroblasts. Conditioned medium from all myofibroblasts stimulated Akt kinase activity. SELDI-TOF MS profiles showed more than 40 protein peaks for each isolate. One protein was differentially expressed in polyps versus normal cells. CONCLUSIONS: Utilizing a novel proteomic approach, we identify distinct protein profiles in myofibroblasts of polyps compared with stromal cells of normal mucosa. Moreover, myofibroblasts can stimulate indirectly PI3K activity and enhance colon cancer cell proliferation. These findings suggest that targeted therapy to signaling pathways in myofibroblasts may be useful in colorectal cancer chemoprevention and possible treatment.

Adenomatous Polyps↗

Comparative proteomics of high light stress in the model alga Chlamydomonas reinhardtii.

High light (HL) stress adversely affects growth, productivity and viability of photosynthetic organisms. The green alga Chlamydomonas reinhardtii is a model system to study photosynthesis and light stress. Comparative proteomics of wild-type and two very high light (VHL)-resistant mutants, VHL(R)-S4 and VHL(R)-S9, revealed complex alterations in response to excess light. A two-dimensional reference map of the soluble subproteome was constructed representing about 1500 proteins. A total of 83 proteins from various metabolic pathways were identified by peptide mass fingerprinting. Quantitative comparisons of 444 proteins showed 105 significantly changed proteins between wild type and mutants under different light conditions. Commonly, more proteins were decreased than increased, but different proteins were affected in each genotype. Proteins uniquely altered in either VHL(R) mutant may be involved in VHL resistance. Such candidate proteins similarly altered without light stress, thus possibly contributing to "pre-adaptation" of mutants to VHL, included decreased levels of a DEAD box RNA helicase (VHL(R)-S4) and NAB1 and RB38 proteins (VHL(R)-S9), and increased levels of an oxygen evolving enhancer 1 (OEE1) isoform and an unknown protein (VHL(R)-S4). Changes from increased levels in HL to decreased levels in excess light, included OEE1 (VHL(R)-S9) or the reverse change for NAB1, RB38, beta-carbonic anhydrase and an ABC transporter-like protein (VHL(R)-S4).

Animals↗

Proteomic analysis of arabidopsis seed germination and priming.

To better understand seed germination, a complex developmental process, we developed a proteome analysis of the model plant Arabidopsis for which complete genome sequence is now available. Among about 1,300 total seed proteins resolved in two-dimensional gels, changes in the abundance (up- and down-regulation) of 74 proteins were observed during germination sensu stricto (i.e. prior to radicle emergence) and the radicle protrusion step. This approach was also used to analyze protein changes occurring during industrial seed pretreatments such as priming that accelerate seed germination and improve seedling uniformity. Several proteins were identified by matrix-assisted laser-desorption ionization time of flight mass spectrometry. Some of them had previously been shown to play a role during germination and/or priming in several plant species, a finding that underlines the usefulness of using Arabidopsis as a model system for molecular analysis of seed quality. Furthermore, the present study, carried out at the protein level, validates previous results obtained at the level of gene expression (e.g. from quantitation of differentially expressed mRNAs or analyses of promoter/reporter constructs). Finally, this approach revealed new proteins associated with the different phases of seed germination and priming. Some of them are involved either in the imbibition process of the seeds (such as an actin isoform or a WD-40 repeat protein) or in the seed dehydration process (e.g. cytosolic glyceraldehyde-3-phosphate dehydrogenase). These facts highlight the power of proteomics to unravel specific features of complex developmental processes such as germination and to detect protein markers that can be used to characterize seed vigor of commercial seed lots and to develop and monitor priming treatments.

Arabidopsis↗

Escherichia coli aconitases and oxidative stress: post-transcriptional regulation of sodA expression.

Escherichia coli possesses two aconitases, a stationary-phase enzyme (AcnA), which is induced by iron and oxidative stress, and a major but less stable enzyme (AcnB), synthesized during exponential growth. In addition to the catalytic activities of the holo-proteins, the apo-proteins function as post-transcriptional regulators by site-specific binding to acn mRNAs. Thus, it has been suggested that inactivation of the enzymes could mediate a rapidly reacting post-transcriptional component of the bacterial oxidative stress response. Here it is shown that E. coli acn mutants are hypersensitive to the redox-stress reagents H(2)O(2) and methyl viologen. Proteomic analyses further revealed that the level of superoxide dismutase (SodA) is enhanced in acnB and acnAB mutants, and by exposure to methyl viologen. The amounts of other proteins, including thioredoxin reductase, 2-oxoglutarate dehydrogenase, succinyl-CoA synthetase and chaperone proteins, were also affected in the acn mutants. The altered patterns of sodA expression were confirmed in studies with sodA-lacZ reporter strains. Quantitative Northern blotting indicated that AcnA enhances the stability of the sodA transcript, whereas AcnB lowers its stability. Direct evidence that the apo-proteins have positive (AcnA) and negative (AcnB) effects on SodA synthesis was obtained from in vitro transcription-translation experiments. It is suggested that the aconitase proteins of E. coli serve as a protective buffer against the basal level of oxidative stress that accompanies aerobic growth by acting as a sink for reactive oxygen species and by modulating translation of the sodA transcript.

Aconitate Hydratase↗

A two-hybrid screen of the yeast proteome for Hsp90 interactors uncovers a novel Hsp90 chaperone requirement in the activity of a stress-activated mitogen-activated protein kinase, Slt2p (Mpk1p).

The Hsp90 chaperone cycle catalyzes the final activation step of several important eukaryotic proteins (Hsp90 "clients"). Although largely a functional form of Hsp90, an Hsp90-Gal4p DNA binding domain fusion (Hsp90-BD) displays no strong interactions in the yeast two-hybrid system, consistent with a general transience of most Hsp90-client associations. Strong in vivo interactions are though detected when the E33A mutation is introduced into this bait, a mutation that should arrest Hsp90-client complexes at a stage where the client is stabilized, yet prevented from attaining its active form. This E33A mutation stabilized the two-hybrid interactions of the Hsp90-BD fusion with approximately 3% of the Saccharomyces cerevisiae proteome in a screen of the 6,000 yeast proteins expressed as fusions to the Gal4p activation domain (AD). Among the detected interactors were the two stress-activated mitogen-activated protein (MAP) kinases of yeast, Hog1p and Slt2p (Mpk1p). Column retention experiments using wild-type and mutant forms of Hsp90 and Slt2p MAP kinase, as well as quantitative measurements of the effects of stress on the two-hybrid interaction of mutant Hsp90-BD and AD-Slt2p fusions, revealed that Hsp90 binds exclusively to the dually Thr/Tyr-phosphorylated, stress-activated form of Slt2p [(Y-P,T-P)Slt2p] and also to the MAP kinase domain within this (Y-P,T-P)Slt2p. Phenotypic analysis of a yeast mutant that expresses a mutant Hsp90 (T22Ihsp82) revealed that Hsp90 function is essential for this (Y-P,T-P)Slt2p to activate one of its downstream targets, the Rlm1p transcription factor. The interaction between Hsp90 and (Y-P,T-P)Slt2p, characterized in this study, is probably essential in this Hsp90 facilitation of the Rlm1p activation by Slt2p.

Caffeine↗

Characterization of low abundant membrane proteins using the protein sequence tag technology.

About 25% of open reading frames in fully sequenced genomes are estimated to encode transmembrane proteins that represent valuable targets for drugs. However, the global analysis of membrane proteins has been proven to be problematic, e.g., because of their very amphiphilic nature. In this paper, we show that the recently published Protein Sequence Tag (PST) technology combined with an efficient sample preparation is a powerful method to perform protein analysis of highly enriched membrane fractions. The PST approach is a gel-free proteomics tool for the analysis of proteins, which relies on a "sampling" strategy by isolating N-terminal protein sequence tags from cyanogen bromide cleaved proteins. The identification of these N-terminal PST peptides is based on LC-MS/MS. The effectiveness of the technology is demonstrated for a membrane fraction, which was isolated from crude mitochondria of yeast after alkaline sodium carbonate treatment. The PST approach performed on this fraction analyzed 148 proteins, whereas 84% are identified as membrane proteins. More interestingly, among these membrane proteins 56% are predicted to be of low abundance. These encouraging results are an important step toward the development of a quantitative PST approach (qPST) for the differential display of membrane protein analysis.

Carbonates↗

Protein separations.

This chapter describes the use of two types of commercialized microfluidic chips for protein separation, suitable for personal scale and high-throughput use. Compared with conventional approaches, such as sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and capillary electrophoresis (CE), these devices offer the advantages of faster separation times, better data reproducibility, greater ease of use, labor savings in quantitative analysis, and ease in data archiving and data sharing owing to the digital data format. With some simple precautions taken to keep bubbles and particulates out of the microchannels, Lab-on-a-Chip devices have been adopted by many researchers in protein processing, protein engineering, and proteomics research laboratories to increase their productivity.

Electrophoresis, Microchip↗

Proteomic analysis of the wing imaginal discs of Drosophila melanogaster.

We have combined high-resolution two-dimensional (2-D) gel electrophoresis and mass spectrometry with the aim of identifying proteins represented in the 2-D gel database of the wing imaginal discs of Drosophila melanogaster. First, we obtained a high-resolution 2-D gel pattern of [35S]methionine + [35S]cysteine-labeled polypeptides of Schneider cells, a permanent cell line of Drosophila embryonic origin, and compared it with the standard pattern of polypeptides of the wing imaginal disc. These studies reveal qualitative and quantitative differences between the two samples, but have more than 600 polypeptides in common. Second, we carried out preparative 2-D polyacrylamide gel electrophoresis using Schneider cells mixed with radioactively labeled wing imaginal discs in order to isolate some of the shared polypeptides and characterize them by matrix-assisted laser desorption/ionization-time of flight MALDI-TOF analysis. Using this strategy we identified 100 shared proteins represented in the database, and in each case confirmed their identity by MALDI-TOF/TOF analysis.

Animals↗

A conserved grain-associated immunosuppressive niche in Sudanese patients with mycetoma.

Mycetoma is a neglected tropical disease caused by various bacterial and fungal pathogens that has a significant health impact across a broad geographically defined "mycetoma belt" spanning South America, Africa and Asia. Histologically, mycetoma is characterised by invasive and destructive granuloma development in the skin, deep tissues and bone, leading to tissue destruction, deformities and high morbidity. The presence of macroscopic, highly compacted pathogen microcolonies, or "grains," is a key diagnostic feature, and the formation of grains supports pathogen persistence and disease chronicity. However, there is a paucity of information on immune responses in mycetoma patients and on the relative importance of phylogeny and/or grains in establishing the local immune landscape. Here, we used spatial proteomics to examine the distribution of 43 immune-related proteins in surgical biopsies from 11 patients with mycetoma of bacterial (actinomycetoma; Actinomadura pelletierii and Streptomyces somaliensis; n = 6) and fungal (eumycetoma; Madurella mycetomatis; n = 5) origin. Using mixed-effects modelling, an exploratory analysis across species and pathogen classes revealed few significant differences in immune marker expression. In contrast, and independently of pathogen class, the cellular infiltrate closest to grain boundaries had higher per-cell expression of CD66b+ neutrophils, ARG1, and VISTA. The preferential accumulation of CD66b+ARG1+VISTA+ cells at grain boundaries was confirmed by quantitative immunofluorescence analysis. Hence, the local tissue microenvironment surrounding the mycetoma grain represents a specialised immunosuppressive niche, with parallels to the tumour microenvironment. Trial Registration The study was prospectively registered on ClinicalTrials.gov NCT04401969.

Adult↗

Biological master games: using biologists' reasoning to guide algorithm development for integrated functional genomics.

We review some powerful new algorithms that build on the intuitive biological interpretation techniques for statistical analysis of functional genomics experiments. Although they were originally designed for transcriptomics, we argue that these algorithms are applicable to any type of -omics study (transcriptomics, proteomics, metabolomics). Rank Products (RP), a strictly non-parametric test statistic to detect differentially regulated elements (genes, proteins, metabolites) in genome-wide screens. RP is particularly powerful for noisy data and low numbers of replicates and makes full use of the availability of a large number of parallel measurements that is typical of modern large-scale experiments. Iterative Group Analysis (iGA), a statistical method that makes the transition from regulated single elements to significant classes of elements, and thus provides an automatic functional annotation of an experiment. Graph-based iGA (GiGA), an extension of iGA that combines experimental data with a broad variety of biological annotations to highlight physiologically relevant regions in a given "evidence graph" (e.g., metabolic networks, signaling pathway diagrams, protein interaction maps). The sequential application of these techniques yields an increasingly abstract interpretation of experimental data that is at the same time quantitative, statistically rigorous, and biologically significant. The results can be used either as helpful tools to guide data visualization and exploration, or as the input for downstream computational applications in a systems biology framework.

Algorithms↗

Comparison of different depletion strategies for improved resolution in proteomic analysis of human serum samples.

Serum proteins may often serve as indicators of disease and is a rich source for biomarker discovery. However, the large dynamic range of proteins in serum makes the analysis very challenging because high-abundant proteins tend to mask those of lower abundance. A prefractionation step, such as depletion of a few high-abundant proteins before protein profiling, can assist in the discovery and detection of less abundant proteins that may prove to be informative biomarkers. In the present study, five different depletion columns were investigated considering efficiency, specificity, and reproducibility. Our research included quantitative determination of total protein, albumin, and immunoglobulin G (IgG) concentrations, one- and two-dimensional gels and mass spectrometric analysis of the serum samples before and after the depletion step. Our results showed that all five depletion columns tested removed albumin and IgG with high efficiency. We found that based on reproducibility and binding specificity, the Multiple Affinity Removal Column that removed a total of six high-abundant proteins (albumin, IgG, antitrypsin, IgA, transferring, and haptoglobin) offered the most promising depletion approach. Among the disposable (single-use) products, the ProteoExtract Albumin/IgG Removal kit displayed the best results. Depleted serum from the Multiple Affinity Removal column was further evaluated by 2-D gel electrophoresis (2-DE) analysis, and the results indicated increased resolution and improved intensity of low-abundant proteins in a reproducible fashion. Our study provides a comprehensive investigation of commercially available depletion columns and will be of high importance for future proteomic studies on serum samples.

Blood Proteins↗

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.

Ascomycota↗

Hex-MASP for mapping the whole-tissue spatial proteome and the intrabrain distribution of monoclonal antibodies.

Whole-tissue level spatial proteomics provides critical insights into region-specific biological regulations but remains challenging. Previously, we introduced the micro-scaffold assisted spatial proteomics (MASP) concept for whole-tissue mapping. However, this prototype required substantial development in spatial resolution, practicality, and throughput for practical application. Here we present a next-generation MASP technique (hex-MASP) featuring i) a new design of hexagonal-micro-wells fabricated with optimized projection micro-stereolithography 3D-printing, achieving high spatial resolution, sampling robustness, and mechanical strength for reproducibly compartmentalizing even tough tissues; ii) enhanced throughput/effectiveness in sample preparation and LC-MS analysis with high quantitative quality. Applied to mouse brain, hex-MASP achieved in-depth, whole-tissue mapping for >6,000 proteins in mouse brains, with high spatial accuracy and excellent data quality. The substantially improved resolution revealed critical regional details across the entire brain, that were not previously captured, enabling precise depiction of protein distribution heterogeneity. This technique enabled the identification of many unreported regionally enriched proteins across brain structures. We further applied hex-MASP to investigate the intrabrain distribution of intracerebroventricularly dosed antibody therapeutics and related proteins, which enabled whole-tissue mapping of protein drugs revealed insights into antibody brain penetration and distribution. Hex-MASP represents a robust, scalable platform for whole-tissue spatial proteomics.

Animals↗

Proteome analysis of dermal fibroblasts cultured in vitro from human healthy subjects of different ages.

Aging is a complex multifactorial process still far from being completely understood. The aim of the present study was to compare the proteome of in vitro cultured dermal fibroblasts from healthy subjects of different ages (i.e. 15 +/- 2, 41 +/- 4 and 82 +/- 3 years old). Proteins of the cell layer were separated by two-dimensional electrophoresis and protein identification was performed by matrix-assisted laser desorption/ionization-time of flight mass spectrometry; moreover, synthetic gels were qualitatively and quantitatively analyzed by Melanie 3 software. Our study did not reveal any protein typical of any one age group. On the other hand, we observed 38 proteins exhibiting more than three-fold reproducible variations with aging, some (45%) being reduced such as F-actin capping protein alpha1, proteasome subunit alpha type 3, heat shock protein 27, ubiquitin carboxyl-terminal hydrolase isozyme L1, mitochondrial thioredoxin-dependent peroxide reductase, cathepsin B, glutathione S-transferase P, cyclophilin A and calgizzarin. In contrast, T-complex protein 1, probable protein disulfide isomerase ER60, phosphoglycerate kinase 1, Ran-specific GTPase-activating protein, proteasome subunit alpha type 5, triosephosphate isomerase and superoxide dismutase (Mn) increased with age. Furthermore, annexin 1, elongation factor 1beta, proteasome activator complex subunit 1, phosphoglycerate mutase, superoxide dismutase (Cu-Zn) and cofilin, exhibited the highest levels in adult cells; whereas, septin 2 homolog, RNA-binding protein regulatory subunit and ATP synthase D chain revealed the lowest values in adults. The present investigation, underlining the complexity of the aging process, highlights the role of synthetic and degradative pathways in modulating the whole cell machinery and emphasizes that metabolic impairment with age could depend partly on different expression of a number of genes and leading to an imbalance among functional proteins.

Adolescent↗

Post-genomic applications of tissue microarrays: basic research, prognostic oncology, clinical genomics and drug discovery.

Tissue microarrays (TMAs) are an ordered array of tissue cores on a glass slide. They permit immunohistochemical analysis of numerous tissue sections under identical experimental conditions. The arrays can contain samples of every organ in the human body, or a wide variety of common tumors and obscure clinical cases alongside normal controls. The arrays can also contain pellets of cultured tumor cell lines. These arrays may be used like any histological section for immunohistochemistry and in situ hybridization to detect protein and gene expression. This new technology will allow investigators to analyze numerous biomarkers over essentially identical samples, develop novel prognostic markers and validate potential drug targets. The ability to combine TMA technology with DNA microarrays and proteomics makes it a very attractive tool for analysis of gene expression in clinically stratified tumor specimens and relate expression of each particular protein with clinical outcome. Public domain software allows researchers to examine digital images of individual histological specimens from TMAs, evaluate and score them and store the quantitative data in a relational database. TMA technology may be specifically applied to the profiling of proteins of interest in other pathophysiological conditions such as congestive heart failure, renal disease, hypertension, diabetes, cystic fibrosis and neurodegenerative disorders. This review is intended to summarize the strengths and weaknesses of TMA technology which will have an increasingly important role in the laboratories of the post-genomic era.

Animals↗

Proteome analysis of early somatic embryogenesis in Picea glauca.

Forestry is a valuable natural resource for many countries. Rapid production of large quantities of genetically improved and uniform seedlings for restocking harvested lands is a key component of sustainable forest management programs. Clonal propagation through somatic embryogenesis has the potential to meet this need in conifers and can offer the added benefit of ensuring consistent seedling quality. Although in commercial use, mass production of conifers through somatic embryogenesis is relatively new and there are numerous biological unknowns regarding this complex developmental pathway. To aid in unravelling the embryo developmental process, two-dimensional electrophoresis was employed to quantitatively assess the expression levels of proteins across four stages of somatic embryo maturation in white spruce (0, 7, 21 and 35 days post abscisic acid treatment). Forty-eight differentially expressed proteins have been identified, which display a significant change in abundance as early as day 7 of embryo development. These proteins are involved in a variety of cellular processes, many of which have not previously been associated with embryo development. The identification of these proteins was greatly assisted by the availability of a substantial expressed sequence tag (EST) resource developed for white, sitka and interior spruce. The combined use of these spruce ESTs in conjunction with GenBank accessions for other plants improved the rate of protein identification from 38% to 62% when compared with GenBank alone using automated, high-throughput techniques. This underscores the utility of EST resources in a proteomic study of any species for which a genome sequence is unavailable.

Cell Line↗