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Efficient algorithms for object recognition are crucial for the newly robotics and computer vision applications that demand real-time and on-line methods. Some examples are autonomous systems, navigating robots, autonomous driving. In this work, we focus on efficient semantic segmentation, which is the problem of labeling each pixel of an image with a semantic class.
Our aim is to speed-up all of the parts of the semantic segmentation pipeline. We also aim at delivering a labeling solution on a time budget, that can be decided on-the-fly. For this purpose, we analyze all the components of the semantic segmentation pipeline, and identify the computational bottleneck of each of them. The different components of the pipeline are over-segmenting the image with local regions, extracting features and classify the local regions, and the final inference of the image labeling with semantic classes. We focus on each of these steps.
First, we introduce a new superpixel algorithm to over-segment the image. Our superpixel method runs in real-time and can deliver a solution at any time budget. Then, for feature extraction, we focus on the framework that computes descriptors and encodes them, followed by a pooling step. We see that the encoding step is the bottleneck, for computational efficiency and performance. We present a novel assignment-based encoding formulation, that allows for the design of a new, very efficient, encoding. Finally, the image labeling output is obtained modeling the dependencies with a Conditional Random Field (CRF). In semantic image segmentation, the computational cost of instantiating the potentials is much higher than MAP inference. We introduce Active MAP inference to on-the-fly select a subset of potentials to be instantiated in the energy function, leaving the rest as unknown, and to estimate the MAP labeling from such incomplete energy function.
We perform experiments on all proposed methods for the different parts of the semantic segmentation pipeline. We show that our superpixel extraction achieves higher accuracy than state-of-the-art on standard superpixel benchmark, while it runs in real-time. We test our feature encoding on standard image classification and segmentation benchmarks, and we show that our method achieves competitive results with the state-of-the-art, and requires less time and memory. Finally, results for semantic segmentation benchmark show that Active MAP inference achieves similar levels of accuracy but with major efficiency gains.
High resolution gamma spectroscopy with sophisticated detector arrays significantly contributes to nuclear structure physics. The Advanced Gamma Tracking Array (AGATA) combines gamma tracking and pulse shape analysis to achieve an efficiency and quality of the spectra that could not be reached with spectrometers of the previous generation. Tracking of the photons interacting in the detector requires a precise knowledge of the individual interaction positions. The task of the pulse shape analysis is to provide a position resolution of better than $5mm$ FWHM, a value that could not be achieved by segmentation of the detector alone. As the signals induced on the electrodes of the detectors depends on the position of interaction, the charge pulses can be used to infer the interaction position. To be able to handle high rates, algorithms that are used have to be optimized to be able to process the data in real-time. Pulse shape analysis is the most involved part of the real-time processing and requires further improvement. This work is dealing with optimizations and improvements of pulse shape analysis algorithms. The Grid Search algorithm localizes the interaction position by comparing the measured pulse shape with precomputed shapes in a database to find the best fit. Two linear filters based on orthogonal transformations have been compared and it could be concluded that the one based on a singular value decomposition of the pulse shapes works best. It speeds up the pulse shape analysis by a factor of roughly $2-3$ (depending on how it is combined with the other modifications). Further, a new method to exclude most signals from the database as best fit has been developed based on the principle of lateration. Most interaction positions can be excluded by means of a fast check and for single interactions on average only $34.8\%$ of all signals from the database have to be compared to the measured one. The overhead introduced by the method is negligible and the reduced number of comparisons almost direclty translates into increased efficiency of the algorithm. A similar method could also be applied for double interactions. Two or more interactions taking place in the same segment require special treatment as the measured signals cannot be directly compared to signals from the database. A new method to calculate the figure of merit that quantifies the fit in case of a double interaction has been introduced. Compared to the unmodified algorithm the new method finds the best fit for double interactions roughly two orders of magnitude faster. Actually, the time required to localize double interactions is almost the same as for single interactions. Apart from optimizing the algorithm, also the achievable position resolution was investigated. It strongly varies inside the volume of the detector and it crucially depends on the shape of all signals in the database and the amplitude of the noise present in the measured signals. As a first step towards a precise analytic expression for the position resolution, an estimate for the probability to find the correct position has been derived.
More than 100 years after Henry James’s death, criticism is still working through unresolved gender issues in his fiction. This study proposes a new interdisciplinary approach to the gendered power relations in James’s novels that fills a crucial vacancy in the literature. Reading James’s intricately woven narrative form through the lens of relational sociology, specifically Pierre Bourdieu’s concept of symbolic domination, reconciles some of the most fiercely disputed positions in James studies of the past decades. With its focus on gender-related symbolic domination, this study demonstrates this approach’s potential to probe the depths of James’s fictional social worlds while developing the narratological tools to do so.
Many critics have paid attention to the relational nature of James’s social fictions as well as his talent for capturing unspoken, invisible, hidden social constraints. Blatantly missing from the literature is a systematic relational analysis into the specifically Jamesian method of narrating the socio-psychological, embodied responses to power and oppression. The present study closes this research gap. It reveals how James persistently narrates his characters as social agents whose perception, affects, and bodily practices are products of the social structures that they in turn continue to shape and reproduce. Moreover, it traces a development throughout James’s career that reflects his growing sensitivity for the stubbornness of some seemingly insurmountable social constraints. James’s fictional social worlds are relational ones through and through. This study is the first sustained effort to investigate the way in which his narratives capture this interrelatedness.
The scope of this Thesis is to understand the position dependency phenomenon of human visual perception. First, under the ecological assumption, meaning under the assumption that animals adapt to the statistical regularities of their environment, we study the consequences of the imaging on the local statistics of the input to the human visual system. Second, we model efficient representations of these statistics and their contribution to shape the properties of eye sensory neurons. Third, we model efficient representations of the semantic context of images and the correctness of different underneath geometrical assumptions on the statistics of images.
The efficient coding hypothesis posits that sensory systems are adapted to the regularities of their signal input in order to reduce redundancy in the resulting representations. It is therefore important to characterize the regularities of natural signals to gain insight into the processing of natural stimuli. While measurements of statistical regularity in vision have focused on photographic images of natural environments it has been much less investigated, how the specific imaging process embodied by the organism’s eye induces statistical dependencies on the natural input to the visual system. This has allowed using the convenient assumption that natural image data is homogeneous across the visual field. Here we give up on this assumption and show how the imaging process in a human eye model influences the local statistics of the natural input to the visual system across the entire visual field. ...
Ultrafast protein dynamics are of great interest for understanding the molecular basis of biochemical function. One method to study structural changes with highest time-resolution starting in the femtosecond regime is 2D-IR spectroscopy. However its application to investigate protein dynamics both with high temporal and spatial resolution is currently limited to few biological systems with intrinsic chromophores. Spectral congestion, the contribution of many similar oscillators to the same signals, makes it difficult to draw conclusions about local structural dynamics in most other proteins.
The aim of this thesis is to extend the application of 2D-IR spectroscopy to a wider range of proteins by introducing unnatural amino acids (UAAs) with azide or nitrile groups as site-specific vibrational probes, which absorb in the free spectral window between 1800 to 3000 cm-1 by using methods from chemical biology.
In a comparative experimental study using FTIR and 2D-IR spectroscopy of single amino acids azidohomoalanine (Aha), a methionine analogue, was identified as preferred label. To demonstrate the application potential of UAAs as site-specific probes, Aha was then incorporated into different positions in a small globular protein. By using both FTIR and ultrafast 2D-IR it was shown, that indeed the local microenvironment as well as conformational fluctuations on picosecond timescale could be monitored with high spatial information. The azide moiety shows a shift of its absorption frequency depending on the polarity of its surrounding. Using this approach, different subensembles for the protein conformations with more polar and less polar environment around the vibrational probe can be distinguished.
A second major application of site-specific labels is the study of vibrational energy transfer processes (VET), predicted to be relevant for allosteric communication in protein domains such as the PDZ domain. VET can be tracked with high spatial resolution using time-resolved IR spectroscopy by exciting a localized vibrational mode and probing separate modes in a two-colour 2D-IR experiment. To extend this kind of experiment to proteins, a specific donor-acceptor pair of two UAAs was introduced. It uses an azulene moiety as donor that can be excited in the visible range but deposits the excess energy by internal conversion into the vibrational modes of the ground state. In small peptides this VET pair was applied successfully, showing a distance-dependent energy transfer induced signal for VET through covalent bonds. These findings bare great promise for the direct observation of vibrational energy flow in proteins in real-time.
Overall this thesis is the basis for extending the usability of 2D-IR spectroscopy to study structural dynamics in a wide range of proteins systems both with high temporal and spatial resolution.
Molecular signaling networks, organized in discrete subsets of proteins in space and time, represent the major principle by which the cell achieves its functional specificity and homeostasis. Complex network organization is preserved by numerous mechanisms, including sequestration of proteins into specific subcellular compartments (eg. organelles), post-translational modifications and most importantly by balanced timing of their biosynthesis and turnover. Two routes of protein degradation, which are fundamentally quite different, are proteasomal and lysosomal-mediated destruction. The latter not only governs degradation of molecules that passed through endocytic or secretory process (trafficking from plasma membrane or Golgi compartment), but also the degradation of cytoplasmic molecules that have been sequestered by a process called macroautophagy (henceforth autophagy). Recently our understanding of autophagic regulatory mechanisms has increased significantly, as molecular details of how autophagy contributes to the degradation of proteins (old, misfolded or aggregated), damaged organelles or pathogens have been deciphered. Initially described as bulk, nonspecific membrane sequestration process induced primarily by nutrient deprivation, autophagy is now known to be selective in terms of cargo recognition and integration into dynamic cellular membrane trafficking system.
My work has addressed the fundamental question of how small ubiquitin-like modifiers LC3/GABARAP, that are conjugated to the autophagic membranes, function within the process of cargo selection and crosstalk between autophagic and endocytic membrane trafficking events. We have employed an initial yeast twohybrid screen to identify LC3/GABARAP interacting partners. Using this technique, we have identified several novel autophagy receptor proteins, mitochondrial protein Nix (BNIP3L), and adaptor proteins, including Rab GTPase activating proteins (TBC family of proteins). Through a conserved LC3 interacting region (LIR), Nix, Rab GAPs and other autophagy adaptor/receptor molecules share a common mode of binding to LC3/GABARAP. However, in contrast to Nix, which specifically facilitates removal of mitochondria in maturing erythrocytes, Rab GAP proteins preferably regulate the dynamics of autophagosome formation and maturation as well as sorting of cargo. Fourteen out of 36 screened Rab GAPs interacted with LC3/GABARAPs. Importantly, identified Rab GAPs are clustered in different regulatory nodes according to the conservation of their GAP domain hence they impact various cellular membrane compartments and organelles, marked by specific subsets of small Rab GTPases. Identification of Rab GAPs that are directly involved in autophagy via binding to LC3 was the first report that clearly pointed to a broader implication of autophagy in all aspects of cellular membrane trafficking. Currently, only few of Rab GAPs are studied in context of autophagy regulation, while large number of them requires further functional characterization.
I have identified two LIR motifs in TBC1D5, Rab7 GAP. LIR1 has also the ability to interact with retromer complex subunit, Vps29. Using several functional assays I have shown that this motif, as well as catalytic Arg within GAP domain are particularly important for function of TBC1D5 in retrograde transport of CI-M6PR from endosomes to the trans-Golgi network (TGN). I have also shown that TBC1D5 binds to LC3 and Vps29 in mutually exclusive way and that Thr at the position 1 and Phe at position 5 of LIR1 motif are both required for TBC1D5 interaction with Vps29. Upon autophagy induction TBC1D5 dissociates from retromer, and associates with autophagic vesicles, while silencing of TBC1D5 significantly impairs autophagic flux. These findings led to the hypothesis that LIR interacting surface on TBC1D5 acts as molecular switch for dual function of TBC1D5. This also indicated that similar surfaces for LIR interaction (similarly to ubiquitin-like domains) are present on proteins other than LC3, and pointed to a dual functionality of the LIR sequence within both endocytic and autophagic pathways.
Following these initial studies, I have also shown that TBC1D5 interacts with AP2 complex subunit AP2M1, and that this interaction plays critical role in TBC1D5-dependent trafficking of Atg9. It is known that Atg9, the only trans-membrane autophagic protein, plays essential role in initiation of autophagy and growth of nascent phagophore membranes. However, machinery that specifically recruits Atg9 traffic carriers to the site of autophagosomes was not known. I subsequently demonstrated that TBC1D5 associates not only with LC3, but also with Atg9 traffic carriers and major initiatory kinase ULK1 during autophagy, while retromer failed to do so. Association of TBC1D5 with Atg9 was dependent on presence of AP2 complex, and on functional clathrin-mediated endocytosis (CME). Based on these and previous findings, model was proposed, that upon induction of autophagy TBC1D5 re-routes Atg9-containing clathrin vesicles from plasma membrane to the site of autophagosome. This led us to the better understanding of TBC1D5 function, but also to the first molecular cue that Atg9 traffics within clathrin-coated vesicles (CCVs). In fact, mutation of Leu-Leu motif within N terminus of Atg9, that potentially mediates interaction with adaptor protein complexes, led to enrichment of Atg9 on plasma membrane and in TGN. This suggested that the sorting motif could be important for interaction of Atg9 with AP2 and AP1 complex, as well. More importantly, TBC1D5 and Atg9 could be directly involved in dynamic regulation of growth factor receptor sorting during autophagy, thus explaining vital role of autophagy in organism development and pathogenesis.
In summary, the work contained within my thesis provides data on the mechanism by which autophagy adaptor proteins participate in cargo selection and regulation of trafficking during autophagy. Firstly, the LIR motif can target proteins or organelles for autophagic degradation (eg. Nix). Secondly, specific LIR motifs can play essential function in recruiting membrane trafficking regulatory proteins that subsequently facilitate phagophore expansion (eg. TBC1D5). Thirdly, by means of reorganization of different protein assemblies (eg. TBC1D5-VPS29 vs. TBC1D5-LC3-Atg9), dynamics of membrane remodeling mediated by Rab GTPases is kept in control during autophagy, thus keeping the organelle integrity and balance within cellular lipid sources unaffected.
Construction and commissioning of a setup to study ageing phenomena in high rate gas detectors
(2014)
In high-rate heavy-ion experiments, gaseous detectors encounter big challenges in terms of degradation of their performance due to a phenomenon dubbed ageing. In this thesis, a setup for high precision ageing studies has been constructed and commissioned at the GSI detector laboratory. The main objective is the study of ageing phenomena evoked by materials used to build gaseous detectors for the Compressed Baryonic Matter (CBM) experiment at the future Facility for Antiproton and Ion Research (FAIR).
The precision of the measurement, e.g., of the gain of a gaseous detector, is a key element in ageing studies: it allows to perform the measurement at realistic rates in an acceptable time span. It is well known the accelerating ageing employing high intensity sources might produce misleading results. The primary objective is to build an apparatus which allows very accurate measurements and is thus sensitive to minute degradations in detector performance. The construction and commissioning of the
setup has been carried out in two steps. During the first step of this work, a simpler setup which already existed in the detector laboratory of GSI had been utilised to define all conditions related to ageing studies. The outcome of these studies defined the properties and characteristics that must be met to build and operate a new, sophisticated and precise setup. The already existing setup consisted of two identical Multi Wire Proportional Chambers (MWPCs), a gas mixing station, an 55Fe source, an x-ray generator, an outgassing box and stainless steel tubing. In a first step, the gain and electric field configuration of the MWPCs were simulated by a combination of a gas simulation (Magboltz) and electric field simulation program (Garfield). The performance and operating conditions of the chambers have been thoroughly characterised before utilising them in first preparatory ageing test. The main diagnostic parameter in ageing studies is the detector gain, thus it is mandatory for precise ageing studies to minimise the systematic and statistical variation of the pressure and temperature corrected gain. To achieve the required accuracy, several improvements of the chamber design and the gas system have been implemented. In addition, the temperature measurement has been optimised. During the preparatory tests, several ageing studies have been carried out. The ageing effect of seven materials and gases have been carried out during these tests: RTV-3145, Ar/CO2 gas, Durostone flushed with Ar/Isobutane gas, Vetronit G11, Vetronit G11 contaminated with Micro 3000 and Gerband 705. The results of these studies went into the design of the new sophisticated ageing setup. For example some tests revealed that there was, even after cleaning, a certain level of contamination with "ageing agents" in the existing setup, which made it imperative to ensure a very high level cleanness of all components during the construction of the setup. The curing period of some testing samples like glues or the gas flow rate were found to be very important factors that must be taken into account to obtain comparable results. Very important changes in the chamber design have been made, i.e., the aluminium-Kapton cathodes used in MWPCs have been replaced with multi-wire planes and the fibreglass housing of the chamber has been changed to metal. The second step started with building the new setup which was designed based on the findings from the first step. The new ageing setup consists of three MWPCs, two moving platforms, an 55Fe source, a copper-anode x-ray generator, two outgassing boxes, both flexible and rigid stainless steel tubes. Before fabrication of the chambers, simulations of their electric field and the gain have been done using Magboltz and Garfield programs. After that, the chambers were installed and tested. A 0.3% peak-to-peak residual variation of the corrected gain has been achieved. Finally, the complete setup has been operated with full functionality in no-ageing conditions during one week. This test revealed very stable gain in all three chambers. After that two materials (Gerban 705 and RTV-3145) have been inserted in the two outgassing boxes and tested. They revealed an ageing rate of about 0.3%/mC/cm and 3%/mC/cm respectively. The final test proves the stability and accuracy of the ageing measurements carried out with the ageing setup at the detector laboratory at GSI which is ready to conduct the envisaged systematic ageing studies.
During the last decade of the 20th century, the field of mass spectrometry has seen a revolutionary change in its application and scope. The introduction of soft ionization methods for the analysis of biological molecules has expanded the area of mass spectrometry from its early roots in the analysis of inorganic and organic species into the fields of biology and medicine.
Today, the use of the mass spectrometry is extended to a wide range of applications in biotechnology and pharmaceutical industry, in geological, environmental and clinical research. In biochemistry, the principles of mass spectrometry are, however, broadly applicable in accurate molecular weight determination, reaction monitoring, amino acid sequencing, oligonucleotide sequencing and protein structure.
In order to carry out their biological activities, proteins interact most often to each other and form transient or stable complexes. In addition, some proteins specifically interact also with other proteins or with non-protein molecules, such as DNA, RNA or metabolites, these interactions being critical for their function. Hence, defining the composition of protein complexes, as well as understanding how protein complexes are assembled and regulated yield invaluable insights into protein function. Coupled with an isolation technique to purify a specific protein complex of interest, mass spectrometry can rapidly and reliably identify the components of complexes. In addition, quantitative MS techniques offer the possibility of studying dynamically regulated interactions....
Since Inhibitor of Apoptosis (IAP) proteins are frequently dysregulated in different cancer entities and contribute to apoptosis resistance, pharmacological IAP antagonists are considered to be promising agents for the future development of cancer treatment strategies. IAP antagonists are small-molecule drugs that have been designed to mimic the interaction site of IAP proteins with their endogenous inhibitor Second mitochondrial activator of caspases (SMAC). Thus, they are frequently referred to as SMAC mimetics. Treatment with SMAC mimetics engages an apoptotic program in cancers by affecting different components of the apoptotic machinery. Besides disinhibition of caspases, SMAC mimetics trigger non-canonical nuclear factor-κB (NF-κB) signaling, which induces upregulation of tumor necrosis factor (TNF) α and other NF-κB target genes. In particular, TNFα production has been closely linked to the induction of SMAC mimetic-mediated cell death. The TNFα-dependent para/autocrine loop facilitates the formation of a cytosolic complex consisting of caspase-8, Fas-associated death domain (FADD) and Receptor-interacting protein (RIP) 1, which serves as caspase-8 activation platform and ultimately triggers induction of apoptosis. In the present study, we use the small-molecule bivalent SMAC mimetic BV6 to analyze SMAC-stimulated NF-κB signaling in cancer cell lines of different entities. Interestingly, we identify two novel NF-κB-regulated factors that are both required for SMAC mimetic-induced apoptosis in a context-dependent manner. First, we show that NF-κB-dependent upregulation of death receptor 5 (DR5) can serve as an alternative mechanism of BV6-mediated cell death. We demonstrate that BV6 treatment induces NF-κB-dependent but largely TNFα -independent apoptosis in A172 glioblastoma cells. By using an unbiased whole genome expression analysis approach, we identify DR5 as a critical NF-κB target gene, which substitutes TNFα and is indispensable for BV6-initated cell death in A172 cells. Second, we demonstrate that Interferon regulatory factor (IRF) 1 is required for BV6-induced TNFα production and apoptosis. Our study provides evidence that IRF1 closely cooperates with the NF-κB network in BV6-mediated cell death and additionally alters expression of selective SMAC mimetic-induced target genes. Furthermore, we show that BV6 treatment triggers secretion of a set of proinflammatory cytokines and increases attraction of monocytes to BV6-treated tumor cells in an IRF1-dependent manner. In summary, our work supports the notion that NF-κB-regulated factors are critically required for SMAC mimetic-initiated apoptosis. We show that IRF1 is indispensable for TNFα production and cell death in BV6-sensitive cell lines and that also DR5 can serve as a proapoptotic NF-κB-controlled factor in BV6-induced apoptosis besides TNFα. Furthermore, this study contributes to an improved understanding on non-apoptotic functions of SMAC mimetics, as IRF1 additionally influences expression levels of proinflammatory cytokines and attraction of immune cells. Thus, our work provides novel insights into the regulation of SMAC mimetic-induced signaling events, which is crucial for the translation of SMAC mimetics for use in clinical application.
In mitochondria, biogenesis of oxidase is a crucial process involving the participation of an array of assembly factors. Studying the process of biogenesis in eukaryotes is highly complicated due to the presence and partaking of two genetic systems. Employing a bacterial model such as Paracoccus denitrificans that utilizes only one genetic system enables easy studying of the assembly process. The aa3 cytochrome c oxidase of P. denitrificans shows high structural and functional homology to its mitochondrial counterpart despite its simple subunit composition. The assembly of the core subunits I and II that house the active redox centers (heme a, and heme a3.CuB centre in subunit I; and the binuclear CuA centre in subunit II) along with the chaperons responsibly for their incorporation form the crux of this work. This work concentrates particularly on CtaG, a chaperone previously speculated to be involved in the delivery of copper to the CuB center in subunit I. As the full length structure of CtaG or its structural homologues have not been solved, attempts were made to obtain high-diffracting crystals of CtaG by heterologously expressing it in E. coli. Growth media, expression strains and induction parameters were some of the conditions screened in order to obtain optimal yield. Additives, pH and detergent were screened to yield a homogeneous preparation of CtaG. Crystallization trials were conducted by employing the sitting drop, vapour diffusion, method and later the bicelles were employed. Preliminary crystals obtained were further optimized employing seeding, detergent and additives, to improve diffraction. The diffraction improved from 30 Å to 15 Å. BN PAGE (Blue Native Polyacrylamide Gel Electrophoresis) analysis and cross-linking studies were undertaken to decipher the oligomeric condition of CtaG. Both the methods indicate that the protein is a dimer under native conditions. To study the importance of CtaG in the process of oxidase assembly, two deletion mutants were obtained from the lab; one with only ctaG deleted and the other with ctaG and most of the upstream ORF. The effect of the deletion was assayed on the assembly and activity of oxidase. The deletion mutants showed residual activity of approx. 20 %, while displaying a very low heme signal (both in membranes and in purified COX). In order to exclude polar effects arising due to gene manipulation, complementation strains were prepared, reintroducing ctaG alone into both the deletion strains. Complementation strains, where only ctaG was deleted and re-introduced assayed for COX activity showed a restoration in activity to approx. 70 %. Further, calculating the heme:protein ratio, the deletion strains displayed a value of 7 nmol/mg of oxidase which was increased to wild type levels of 16 nmol/mg in the complementation strains. To further confirm the absence of the copper in subunit I, total reflection X-ray fluorescence spectroscopy analysis was carried out, which showed a decrease in the copper content in the deletion strain, restored on complementation. The strain lacking in the ORF and ctaG when complemented with ctaG alone illustrated no increase in activity or heme signal in comparison to that of the deletion strain. These point at a possible role for ORF in the assembly of COX, which is still absent in the complementation strains. To further characterize the ORF, a series of bioinformatical analysis was carried out, the results from which were insufficient to characterize the ORF conclusively. In order to enlist the proteins involved in the biosynthesis of COX, two independent approaches were employed. Two-dimensional gel examinations of solubilised membranes from untreated and cross-linked cells were analyzed by Western blotting. The CtaG-COX interaction was observed in untreated membranes, which was additionally strengthened by cross-linking. To further confirm this association, pull-down assays were done employing protein A coated magnetic beads coated with different antibodies and incubated with solubilised membranes derived from untreated or cross-linked cells. The elutions were assayed by Western blotting and confirmed for the CtaG-COX interaction. These fractions were further analysed by mass spectrometry to identify other chaperons involved in biogenesis of oxidase. Along with CtaG, I also noticed Sco, Surf1c and other factors involved in the recruitment and transport of heme (CtaB, CtaA, and Ccm proteins). Interestingly, protein components of both ribosomal subunits and protein translocation factors were observed, which indicated a co-translational approach for co-factor insertion into COX.