Zugl.: Sydney, NSW, Univ. of Sydney, Diss., 2004 / Hergestellt on demand

Universiẗat, Diss., 2003--München.

Universiẗat, Diss., 2002--Jena.

During vertebrate gastrulation, a well-orchestrated series of cell movements leads to the formation of the three germ layers: ectoderm, mesoderm and endoderm. In zebrafish, a model organism for vertebrate development, the mesendodermal progenitor cells separate from the ectodermal cells and migrate towards the animal pole. To identify proteins controlling these processes, I used a comparative proteomic approach following two alternative strategies: (1) Based on the notion that Wnt11 regulates cell movement and morphology during gastrulation independent of transcriptional regulation, I performed a screen aimed at the identification of proteins phosphorylated upon Wnt11 signalling. To regulate Wnt11 expression tightly, I engineered a transgenic slb/wnt11-/- fish line expressing wnt11 under the control of a heat shock promoter. Using this line, I performed a quantitative comparison of protein phosphorylation with or without Wnt11 pathway activation by analysing 32P-labelled embryo extracts on 2D gels. (2) Since these experiments did not reveal any Wnt11 targets, I addressed, in the second approach, proteomic differences causal for the changes in cell adhesion and motility observed in mesendodermal cells upon involution. Quantitative 2D gel analysis comparing ectodermal and mesendodermal cells revealed 37 significantly regulated spots, 36 of which I identified by mass spectrometry. Interestingly, the majority of these proteins were not regulated on a transcriptional level as determined by an accompanying microarray analysis confirming the complementary nature of proteomics and transcriptomics. Among the identified targets, several proteins, including Ezrin2, had previously been assigned a cytoskeleton-related function. I characterised Ezrin2 in more detail showing that Ezrin2 is specifically activated by phosphorylation in mesendodermal cells and that it is required for proper gastrulation movements. In the course of this study, I developed techniques for proteomic analysis of early zebrafish embryos, including a protocol to remove the yolk. I identified several cytoskeleton-related proteins in a comparative proteomic screen for regulators of gastrulation movements. The subsequent characterisation of Ezrin2 confirmed the power of proteomics for the analysis of developmental processes. In conclusion, this work provides a foundation to study developmental and cell biological questions in early zebrafish embryos using proteomics.

Vesicular traffic along the biosynthetic and endocytic pathways is essential for homeostasis of eukaryotic cells. However, it raised the question of how the proteins characteristic for each compartment are transported to their destination (Bonifacino and Glick, 2004). This study is especially focusing on the connection between the Golgi apparatus and the endosomal compartment, mediated by two parallel trafficking pathways regulated by the clathrin adaptors AP-1A and AP-3 (Owen et al., 2004). Typical cargo molecules sorted along the AP-1A regulated pathway are mannose 6-phosphate receptors (MPRs) (Ghosh et al., 2003) or the gpI envelop glycoprotein of the Vesicular Zoster virus (Alconada et al., 1996), while sorting of lysosomal membrane proteins like Lamp-1 and LimpII is AP-3 regulated (Eskelinen et al., 2003). To study how AP-1A and AP-3 coats are stabilized on membranes and to identify the protein networks involved, a liposome based in vitro assay that recapitulates the fidelity of protein sorting in vivo was developed and combined with proteomic screens. Therefore, liposomes carrying cytoplasmic domains of gpI or Lamp-1/LimpII were used as affinity matrix to recruit selectively AP-1A or AP-3 and associated protein machineries. The coated liposomes were then analyzed by mass spectrometry. Using the in vitro recruitment assay, it was possible to demonstrate that efficient and selective recruitment of AP-1A and AP-3 coats depends on the presence of several low affinity binding sites on membranes. Thus, AP-1A and AP-3 recognize their target membranes by activated Arf1 GTPases, organelle specific phosphoinositides, PI-4P and PI-3P respectively, and distinct cargo molecules carrying intact signals in their cytoplasmic domains. The implication of PI-3P in AP-3 recruitment was further supported by in vivo experiments. During the biochemical characterization of the assay, several lines of evidence indicated that cargo tails containing intact sorting signals stabilize not only AP-1A and AP-3 coats on membranes but also influence the membrane recruitment of Arf1. It is possible that cargo molecules indirectly drive an Arf1 amplification loop, thereby ensuring efficient AP coat assembly. The proteomic screens identified protein networks of ≈40 proteins selectively recruited on AP-1A coated structures. The most appealing result of the analysis was the presence of two additional protein machineries, one involved in actin nucleation the other involved membrane fusion. More precisely, the AP-1A analysis identified the selective recruitment of the AP-1A subunits and interacting molecules (clathrin, g-synergin), Arf1 and Arf1 effectors (Big2, Git1), Rac1 including Rac1 effectors (b-PIX, RhoGEF7) and a Rac1 dependent actin nucleation machinery (Wave/Scar complex, Arp2/3 complex, associated effectors) as well as members of a Rab machinery (Rab11, Rab14). This finding was further supported by in vivo colocalization studies of the AP-1A cargo CI-MPR with CYFIP2, a protein of the Wave/Scar complex, and the localization of Big2 and Git1 on Rab11 positive membranes (Matafora et al., 2001; Shin et al., 2004). The biochemical characterization revealed that the stabilization of AP-1A coats, most probably driven by cargo molecules that stabilize AP-1A and Arf1 on membranes, leads as well to the stabilization of the two other machineries. Thus, the results support the notion that cargo sorting, vesicular movement and membrane fusion are coordinated during early steps of vesicular traffic. In analogy, the proteomic screens on AP-3 coated structures identified as well ≈40 selectively recruited proteins, which constituted a similar supramolecular network of protein machineries involved in coat formation, action nucleation and membrane fusion via Rab proteins. Thus, beside the AP-3 coat including the AP-3 subunits, Arf1 and Arf effectors (Big1, ARAP1, AGAP1), members of the septin family involved in actin rearrangements and most of the already described effectors of Rab5 microdomains (EEA1, Rabaptin-5, Rabex-5, Vps45) involved in early endosomal dynamics were selectively recruited together with Rab5 and Rab7. Thus, the proteomic analysis of AP-1A and AP-3 coated structures suggest that both AP coats use similar principles - coats, actin nucleation devices and Rab fusion machineries - to assemble supramolecular structures needed for membrane traffic. Although we do not have the ultimate proves yet, it seems as AP-1A and AP-3 use different members of subcomplexes, hence different GTPase effectors, different actin nucleation machineries and different Rab GTPases, to regulate their specific transport pathways and to link the different protein machineries. The proteomic analysis revealed for example that they probably use different Arf and Rho GTPase effectors to link the coat with actin nucleation. However, this has to be proven experimentally. In order to understand the networks of protein interactions, bioinformatic tools were used as a first approach. Even though some clues about the overall organization of the supramolecular protein complexes were provided, the direct links to the Rab machinery are still elusive. Maybe the proteins with thus far unknown functions could be involved. The biochemical analysis, especially the role of PIPs, and the Rab GTPases identified in the context of AP-1A and AP-3, provide indications about AP-1A and AP-3 function in vivo. The results could be interpreted in a way that AP-1A functions either in traffic from PI-4P positive membranes towards Rab11/Rab14 positive membranes or AP-1A coats assemble on PI-4P and Rab11 or Rab14 positive membranes, hence, TGN to endosomes traffic. The same holds true for AP-3, the results either suggest AP-3 mediates traffic from PI-3P positive towards Rab5/Rab7 positive membranes or they could be interpreted in a way that AP-3 assembles on PI-3P and Rab5 positive membranes for subsequent transport to Rab7 positive membranes, thus traffic from early to late endosomes. Overall, the results of this thesis research provided important insight into the formation of AP-1A and AP-3 coated structures and the potential interconnection between AP coats, actin nucleation and membrane fusion machineries. Alconada, A., U. Bauer, and B. Hoflack. 1996. A tyrosine-based motif and a casein kinase II phosphorylation site regulate the intracellular trafficking of the varicella-zoster virus glycoprotein I, a protein localized in the trans-Golgi network. Embo J. 15:6096-110. Bonifacino, J.S., and B.S. Glick. 2004. The mechanisms of vesicle budding and fusion. Cell. 116:153-66. Eskelinen, E.L., Y. Tanaka, and P. Saftig. 2003. At the acidic edge: emerging functions for lysosomal membrane proteins. Trends Cell Biol. 13:137-45. Ghosh, P., N.M. Dahms, and S. Kornfeld. 2003. Mannose 6-phosphate receptors: new twists in the tale. Nat Rev Mol Cell Biol. 4:202-12. Matafora, V., S. Paris, S. Dariozzi, and I. de Curtis. 2001. Molecular mechanisms regulating the subcellular localization of p95-APP1 between the endosomal recycling compartment and sites of actin organization at the cell surface. J Cell Sci. 114:4509-20. Owen, D.J., B.M. Collins, and P.R. Evans. 2004. Adaptors for clathrin coats: structure and function. Annu Rev Cell Dev Biol. 20:153-91. Shin, H.W., N. Morinaga, M. Noda, and K. Nakayama. 2004. BIG2, a guanine nucleotide exchange factor for ADP-ribosylation factors: its localization to recycling endosomes and implication in the endosome integrity. Mol Biol Cell. 15:5283-94.

Vesicular traffic along the biosynthetic and endocytic pathways is essential for homeostasis of eukaryotic cells. However, it raised the question of how the proteins characteristic for each compartment are transported to their destination (Bonifacino and Glick, 2004). This study is especially focusing on the connection between the Golgi apparatus and the endosomal compartment, mediated by two parallel trafficking pathways regulated by the clathrin adaptors AP-1A and AP-3 (Owen et al., 2004). Typical cargo molecules sorted along the AP-1A regulated pathway are mannose 6-phosphate receptors (MPRs) (Ghosh et al., 2003) or the gpI envelop glycoprotein of the Vesicular Zoster virus (Alconada et al., 1996), while sorting of lysosomal membrane proteins like Lamp-1 and LimpII is AP-3 regulated (Eskelinen et al., 2003). To study how AP-1A and AP-3 coats are stabilized on membranes and to identify the protein networks involved, a liposome based in vitro assay that recapitulates the fidelity of protein sorting in vivo was developed and combined with proteomic screens. Therefore, liposomes carrying cytoplasmic domains of gpI or Lamp-1/LimpII were used as affinity matrix to recruit selectively AP-1A or AP-3 and associated protein machineries. The coated liposomes were then analyzed by mass spectrometry. Using the in vitro recruitment assay, it was possible to demonstrate that efficient and selective recruitment of AP-1A and AP-3 coats depends on the presence of several low affinity binding sites on membranes. Thus, AP-1A and AP-3 recognize their target membranes by activated Arf1 GTPases, organelle specific phosphoinositides, PI-4P and PI-3P respectively, and distinct cargo molecules carrying intact signals in their cytoplasmic domains. The implication of PI-3P in AP-3 recruitment was further supported by in vivo experiments. During the biochemical characterization of the assay, several lines of evidence indicated that cargo tails containing intact sorting signals stabilize not only AP-1A and AP-3 coats on membranes but also influence the membrane recruitment of Arf1. It is possible that cargo molecules indirectly drive an Arf1 amplification loop, thereby ensuring efficient AP coat assembly. The proteomic screens identified protein networks of ≈40 proteins selectively recruited on AP-1A coated structures. The most appealing result of the analysis was the presence of two additional protein machineries, one involved in actin nucleation the other involved membrane fusion. More precisely, the AP-1A analysis identified the selective recruitment of the AP-1A subunits and interacting molecules (clathrin, g-synergin), Arf1 and Arf1 effectors (Big2, Git1), Rac1 including Rac1 effectors (b-PIX, RhoGEF7) and a Rac1 dependent actin nucleation machinery (Wave/Scar complex, Arp2/3 complex, associated effectors) as well as members of a Rab machinery (Rab11, Rab14). This finding was further supported by in vivo colocalization studies of the AP-1A cargo CI-MPR with CYFIP2, a protein of the Wave/Scar complex, and the localization of Big2 and Git1 on Rab11 positive membranes (Matafora et al., 2001; Shin et al., 2004). The biochemical characterization revealed that the stabilization of AP-1A coats, most probably driven by cargo molecules that stabilize AP-1A and Arf1 on membranes, leads as well to the stabilization of the two other machineries. Thus, the results support the notion that cargo sorting, vesicular movement and membrane fusion are coordinated during early steps of vesicular traffic. In analogy, the proteomic screens on AP-3 coated structures identified as well ≈40 selectively recruited proteins, which constituted a similar supramolecular network of protein machineries involved in coat formation, action nucleation and membrane fusion via Rab proteins. Thus, beside the AP-3 coat including the AP-3 subunits, Arf1 and Arf effectors (Big1, ARAP1, AGAP1), members of the septin family involved in actin rearrangements and most of the already described effectors of Rab5 microdomains (EEA1, Rabaptin-5, Rabex-5, Vps45) involved in early endosomal dynamics were selectively recruited together with Rab5 and Rab7. Thus, the proteomic analysis of AP-1A and AP-3 coated structures suggest that both AP coats use similar principles - coats, actin nucleation devices and Rab fusion machineries - to assemble supramolecular structures needed for membrane traffic. Although we do not have the ultimate proves yet, it seems as AP-1A and AP-3 use different members of subcomplexes, hence different GTPase effectors, different actin nucleation machineries and different Rab GTPases, to regulate their specific transport pathways and to link the different protein machineries. The proteomic analysis revealed for example that they probably use different Arf and Rho GTPase effectors to link the coat with actin nucleation. However, this has to be proven experimentally. In order to understand the networks of protein interactions, bioinformatic tools were used as a first approach. Even though some clues about the overall organization of the supramolecular protein complexes were provided, the direct links to the Rab machinery are still elusive. Maybe the proteins with thus far unknown functions could be involved. The biochemical analysis, especially the role of PIPs, and the Rab GTPases identified in the context of AP-1A and AP-3, provide indications about AP-1A and AP-3 function in vivo. The results could be interpreted in a way that AP-1A functions either in traffic from PI-4P positive membranes towards Rab11/Rab14 positive membranes or AP-1A coats assemble on PI-4P and Rab11 or Rab14 positive membranes, hence, TGN to endosomes traffic. The same holds true for AP-3, the results either suggest AP-3 mediates traffic from PI-3P positive towards Rab5/Rab7 positive membranes or they could be interpreted in a way that AP-3 assembles on PI-3P and Rab5 positive membranes for subsequent transport to Rab7 positive membranes, thus traffic from early to late endosomes. Overall, the results of this thesis research provided important insight into the formation of AP-1A and AP-3 coated structures and the potential interconnection between AP coats, actin nucleation and membrane fusion machineries. Alconada, A., U. Bauer, and B. Hoflack. 1996. A tyrosine-based motif and a casein kinase II phosphorylation site regulate the intracellular trafficking of the varicella-zoster virus glycoprotein I, a protein localized in the trans-Golgi network. Embo J. 15:6096-110. Bonifacino, J.S., and B.S. Glick. 2004. The mechanisms of vesicle budding and fusion. Cell. 116:153-66. Eskelinen, E.L., Y. Tanaka, and P. Saftig. 2003. At the acidic edge: emerging functions for lysosomal membrane proteins. Trends Cell Biol. 13:137-45. Ghosh, P., N.M. Dahms, and S. Kornfeld. 2003. Mannose 6-phosphate receptors: new twists in the tale. Nat Rev Mol Cell Biol. 4:202-12. Matafora, V., S. Paris, S. Dariozzi, and I. de Curtis. 2001. Molecular mechanisms regulating the subcellular localization of p95-APP1 between the endosomal recycling compartment and sites of actin organization at the cell surface. J Cell Sci. 114:4509-20. Owen, D.J., B.M. Collins, and P.R. Evans. 2004. Adaptors for clathrin coats: structure and function. Annu Rev Cell Dev Biol. 20:153-91. Shin, H.W., N. Morinaga, M. Noda, and K. Nakayama. 2004. BIG2, a guanine nucleotide exchange factor for ADP-ribosylation factors: its localization to recycling endosomes and implication in the endosome integrity. Mol Biol Cell. 15:5283-94.

No description available.

In der vorliegenden Arbeit wurden modernste Multiplexing-Ansätze der quantitativen Proteomanalyse angewandt, um das neuartige Virus SARS-CoV-2 zu untersuchen, den Erreger der globalen COVID-19 Pandemie, die Ende 2019 begann. Trotz enormer internationaler Anstrengungen zur Erforschung dieser Krankheit sind viele Aspekte der grundlegenden Virusbiologie, Virus-Wirt-Interaktionen und der COVID-19-Pathophysiologie noch immer unbekannt. Dies verhindert die Entwicklung gezielter Behandlungen, insbesondere für COVID-19-Patienten mit schwerem Verlauf. Im ersten Teil dieser Arbeit wurde die Infektionsdynamik in lungenähnlichen Zelllinien untersucht. Der Vergleich von SARS-CoV mit SARS-CoV-2-Infektion in Zellen mit niedriger ACE2 Expression ermöglichte es, die Rolle anderer Membranproteine ​​als Virus Eintrittsfaktoren neu zu bewerten. In SARS-CoV-2 infizierten Calu-3-Zellen konnten Reaktionen der Wirtszellen beobachtet werden, die die Interaktion zwischen viralen Proteinen und Proteikinasen der Wirtszelle vermitteln. Im nächsten Teil wurde die angeborene Immunantwort des Wirts auf das Virus untersucht. Primäre, aus Blut isolierte Monozyten, die mit SARS-CoV-2 behandelt wurden, wiesen eine spezifische Protein-Signatur auf, die auf eine Polarisierung der Zellen zu einem profibrischen Makrophagen-Phänotyp hindeutet. Weitere Analysen zeigten, dass dieser Prozess weitgehend unabhängig von bekannten antiviralen Reaktionen und viraler RNA-Sensoren in Monozyten abläuft. Die durch das Virus hervorgerufene Phosphoproteom-Signatur deutet an, dass die profibrotische Polarisierung durch die kombinierte Wechselwirkung von viralen Proteinen und Infektionsnebenprodukten mit Wirtsrezeptoren induziert wurde. Zusammenfassend liefert diese Arbeit einen wertvollen Beitrag zur Aufklärung von Mechanismen, die zu einem schweren COVID-19 Verlauf führen können und hebt dabei die Bedeutung von Proteomanalysen in der Erforschung viraler Erkrankungen hervor. / In this thesis, we used cutting-edge multiplexed quantitative proteomics and phosphoproteomics approaches to study the virus SARS-CoV-2. The newly emerged betacoronavirus is the causative agent of the global pandemic of COVID-19 that began in late 2019. Despite the tremendous research effort in studying this disease, many aspects of the basic viral biology, virus-host interactions and COVID-19 pathophysiology still remain obscure. This prevents the development of targeted treatments, especially for severe COVID-19 patients. In the first part of this thesis, we studied infection dynamics in lung-like cell lines. Comparison between SARS-CoV and SARS-CoV-2 infections in low-ACE2-expressing cells allowed us to re-evaluate the role of other membrane proteins as entry factors. In Calu-3 cells, we could observe host responses mediating the interactions between viral proteins and host kinases. Next, we focused on the innate immune response of the host to the virus. Ex vivo monocytes treated with SARS-CoV-2 exhibited a specific proteomic signature indicating a polarization toward a profibric macrophage phenotype. Further dissection of this response revealed it to be largely independent from the viral RNA sensing and antiviral response cellular mechanisms. Furthermore, the specific phosphoproteomics signature induced by the virus indicated that the profibrotic polarization was induced by the combined interaction between viral proteins and infection byproducts with host receptors. In summary, this thesis shows the power of mass spectrometry based proteomics to study the complex dynamics between viruses and host cells. Furthermore, we uncovered a potential mechanism contributing to the development of severe COVID-19.

Chlamydien sind obligat intrazelluläre Bakterien, die sich in einem membranumschlossenen Kompartiment namens Inklusion vermehren. Nach Infektion fragmentiert der Golgi-Apparat der Wirtszelle in kleine Membranstapel. Dies verbessert die Aufnahme von Sphingolipiden und ist deshalb für die chlamydiale Vermehrung essentiell. Die infektionsinduzierte Golgi-Fragmentierung geschieht nach Spaltung des Golgi-Matrix-Proteins Golgin-84. In dieser Arbeit konnte, durch den Vergleich mit bekannten Substraten und Inhibitorstudien, die chlamydiale Protease CPAF (Chlamydia protease-like activity factor) als das Enzym identifiziert werden, das diese Spaltung induziert, abhängig von der Anwesenheit zweier Rab-Proteine, Rab6 und Rab11, die den zellulären Vesikeltransport kontrollieren und zur Inklusion rekrutiert werden. Die Fragmentierung des Golgi-Apparates verhinderte dessen Relokalisierung während der Zellpolarisierung nach Einbringen eines migratorischen Stimulus. Sowohl infizierte als auch Golgin-84-depletierte Zellen migrierten langsamer und randomisiert in einem Motilitätsassay. Die Relokalisierung des Golgi-Apparates konnte durch seine Stabilisierung mittels WEHD oder Rab-Depletion wieder gewonnen werden, was die Zellmotilität teilweise wieder herstellte. Darüber hinaus konnte gezeigt werden, dass die Infektion außer der Golgi-Reorientierung die Signaltransduktion durch GTPasen beeinflusst. Die Aktivität von Cdc42 in infizierten Zellen war erhöht und die Interaktionen mit vielen ihrer Effektoren laut quantitativer Massenspektrometrie stark verändert. Die Ergebnisse dieser Arbeit zeigen, dass CPAF die für Chlamydien lebenswichtige Golgin-84 Prozessierung und Fragmentierung des Golgi-Apparates auslöst. Dies verringert die Mobilität der Wirtszelle, vor allem da der Golgi-Apparat während der Polarisierung nicht mehr ausgerichtet werden kann, des Weiteren durch Modulierung der Protein-Protein-Interaktionen von Cdc42. / Chlamydia are obligate intracellular human pathogens that proliferate inside a membrane-bound compartment called the inclusion. In infected cells, the Golgi apparatus is fragmented into small ministacks that are aligned around the inclusion. This facilitates uptake of host cell sphingolipids and is essential for chlamydial development. Infection-induced Golgi fragmentation happens after processing of the Golgi matrix protein golgin-84. This work could, via comparison with well-known substrates and inhibitor studies, identify the chlamydial protease CPAF (Chlamydia protease-like activity factor) as the enzyme accountable for this cleavage. Golgi Fragmentation depended on two Rab proteins, Rab6 and Rab11, which control vesicle transport and are recruited to the Chlamydia inclusion. As a consequence of Golgi fragmentation, cells lost the capacity to reorient the Golgi apparatus during polarization after a migratory stimulus. Both infected and golgin-84 depleted cells with a permanently fragmented Golgi apparatus displayed decelerated and furthermore randomized migration in a motility assay. Relocalization of the Golgi apparatus could be restored via stabilizing WEHD treatment or Rab depletion which partly rescued cell motility. Moreover, it could be shown that migration signaling via small GTPases was influenced by Chlamydia infection. Infected cells exhibited activation of the small polarity GTPase Cdc42. Numerous interactions with downstream effectors were strongly altered in infected cells according to quantitative mass spectrometry. Particularly, the binding of Cdc42 to migration-associated effectors was decreased. The results of this work show that CPAF, by processing of golgin-84, induces Golgi fragmentation which is vitally important for Chlamydia. This disturbs host cell motility because the Golgi apparatus cannot be reoriented during polarization and, additionally, via the modulation of protein-protein-interactions of Cdc42.

Functional characterization of biochemically-isolated proteins is a central task in the biochemical and genetic description of the biology of cells and tissues. Protein identification by mass spectrometry consists of associating an isolated protein with a specific gene or protein sequence in silico, thus inferring its specific biochemical function based upon previous characterizations of that protein or a similar protein having that sequence identity. By performing this analysis on a large scale in conjunction with biochemical experiments, novel biological knowledge can be developed. The study presented here focuses on mass spectrometry-based proteomics of organisms with unsequenced genomes and corresponding developments in biological sequence database searching with mass spectrometry data. Conventional methods to identify proteins by mass spectrometry analysis have employed proteolytic digestion, fragmentation of resultant peptides, and the correlation of acquired tandem mass spectra with database sequences, relying upon exact matching algorithms; i.e. the analyzed peptide had to previously exist in a database in silico to be identified. One existing sequence-similarity protein identification method was applied (MS BLAST, Shevchenko 2001) and one alternative novel method was developed (MultiTag), for searching protein and EST databases, to enable the recognition of proteins that are generally unrecognizable by conventional softwares but share significant sequence similarity with database entries (~60-90%). These techniques and available database sequences enabled the characterization of the Xenopus laevis microtubule-associated proteome and the Dunaliella salina soluble salt-induced proteome, both organisms with unsequenced genomes and minimal database sequence resources. These sequence-similarity methods extended protein identification capabilities by more than two-fold compared to conventional methods, making existing methods virtually superfluous. The proteomics of Dunaliella salina demonstrated the utility of MS BLAST as an indispensable method for characterization of proteins in organisms with unsequenced genomes, and produced insight into Dunaliella?s inherent resilience to high salinity. The Xenopus study was the first proteomics project to simultaneously use all three central methods of representation for peptide tandem mass spectra for protein identification: sequence tags, amino acids sequences, and mass lists; and it is the largest proteomics study in Xenopus laevis yet completed, which indicated a potential relationship between the mitotic spindle of dividing cells and the protein synthesis machinery. At the beginning of these experiments, the identification of proteins was conceptualized as using ?conventional? versus ?sequence-similarity? techniques, but through the course of experiments, a conceptual shift in understanding occurred along with the techniques developed and employed to encompass variations in mass spectrometry instrumentation, alternative mass spectrum representation forms, and the complexities of database resources, producing a more systematic description and utilization of available resources for the characterization of proteomes by mass spectrometry and advanced informatic approaches. The experiments demonstrated that proteomics technologies are only as powerful in the field of biology as the biochemical experiments are precise and meaningful.