Fused in Sarcoma (FUS) is a nuclear RNA binding protein functioning in a number of essential cellular processes such as RNA processing and DNA damage response. Mutations in FUS gene contribute to 5% of familial Amyotrophic Lateral Sclerosis (ALS) characterized by FUS protein cytoplasmic aggregation. Despite efforts have been made in the past decade, mechanisms of FUS aggregates to induce cytotoxicity are not fully understood. In addition, wild-type FUS protein has been found mis-localized to cytoplasm in sporadic ALS and Frontotemporal Dementia (FTD) patients with unclear mechanisms. Here, we aimed to address the functional consequences of ALS mutant FUS aggregation and investigate the mechanisms of wild-type FUS cytoplasmic translocation. This dissertation is divided into three parts: In the first part, we review pathophysiological mechanisms of FUS and other ALS mutant genes which induce cell death via disrupting six major cellular processes: mRNA processing, non-sense mediated decay, mitochondrial functions, nucleocytoplasmic transport, autophagy and DNA damage response. In the second part, we aimed to understand the functional consequences of RNA sequestration by FUS aggregates. We performed RNA immunoprecipitation against exogenous or endogenous FUS in the transfected cell lines and mutant FUS ALS patient fibroblasts to isolate RNAs associated with wild-type or ALS mutant FUS. Next, we analyzed the isolated RNAs using poly(A+) RNA-specific sequencing 3’READS and RT-qPCR, and we found many nuclear-encoded respiratory chain complex mRNAs are top-enriched transcripts associated with ALS mutant or overexpressed wild-type FUS. We further demonstrated that respiratory chain complex mRNAs are sequestered in mutant FUS cytoplasmic aggregates and the encoded protein expression levels are suppressed. Finally, we showed that knockdown of respiratory chain complex proteins encoded by FUS-sequestered transcripts can recapitulate mitochondrial dysfunction observed in FUS-transfected cell lines. Our findings in the second part thus provides a novel mechanism by which ALS mutant FUS, as well as overexpressed wild-type FUS, to induce mitochondrial dysfunction via preferential sequestration of respiratory chain complex mRNAs. The third part focuses on understanding pathways affecting FUS nucleocytoplasmic distribution. By using pharmacological treatments and immunofluorescence, we found that nuclear RNA transcription, export and decay substantially modulate nucleocytoplasmic distribution of wild-type FUS protein. Moreover, we report that FUS antibodies used in immunofluorescence significantly affect the results of nucleocytoplasmic ratio quantification. Intriguingly, we observed altered serine-2/-5 phosphorylation on RNAPII CTD as well as reduced number of nascent transcripts in sporadic ALS patient cells, indicating aberrant transcriptional activity related to cytoplasmic accumulation of nuclear RNA binding proteins. Our findings in the third part provide insights to the importance of nuclear RNA metabolism in modulating FUS localization. We also addressed the inconsistent results reported in previous studies regarding FUS nucleocytoplasmic distribution in response to stress. Altogether, these findings suggest proof-of-principle mechanisms of FUS toxic function and aberrant localization linked to ALS and FTD disease spectrum.

>Magister Scientiae - MSc / This thesis describes the cloning and recombinant expression of domains from the human RBBP6 protein for future in vitro binding studies with pRb and p53. RBBP6 is a splicing-associated protein that is known to interact with both p53 and the Retinoblastoma gene product (pRb), and has recently been shown to be highly upregulated in oesophageal cancer. The pRb binding domain (RbBD) and the p53 binding domain (p53BD) were each expressed using the glutathione-S-transferase (GST) tag affinity system, and affinity purified using a glutathione-linked agarose column. Purified fusion proteins were cleaved to separate the target protein from GST using PreScission ™ Protease, for which there is a recognition sequence located immediately upstream of the multiple cloning site on the pGEX-6P series of plasmids. The pRb binding and p53 binding domains were further purified using cation exchange chromatography. Mass spectrometry confirmed that the RbBD was expressed as a single species of the expected molecular weight. However preliminary NMR analysis suggested that the domain was not fully folded. A total yield of 8 mg of protein was achieved from 11 of culture, which make it feasible to express 15Nand 12Clabelled samples for NMR. The p53BD was found to be expressed at lower levels and subject to C-terminal degradation, which suggest that the C-terminus is unstructured most likely due to the presence of polylysine tail. Human pRb protein was also successfully expressed and purified using the GST affinity system. Human p53 protein was expressed but was found to be insoluble and attempts to purify it were not pursued. Attempts to confirm the interactions between human RBBP6 and p53 and pRb proteins are on-going but fall outside the scope of this thesis. Expression constructs for the RING and zinc finger domains from human RBBP6 were also cloned into the pGEX system for future structural studies using NMR. Both domains were found to be expressed as soluble fusion proteins in preliminary expression studies.

Toll-like receptors (TLRs) play important role in the innate immune system. TLR15 is reported to have a unique role in defense against pathogens, but its structural and evolution characterizations are still poorly understood. In this study, we identified 57 completed TLR15 genes from avian and reptilian genomes. TLR15 clustered into an individual clade and was closely related to family 1 on the phylogenetic tree. Unlike the TLRs in family 1 with the broken asparagine ladders in the middle, TLR15 ectodomain had an intact asparagine ladder that is critical to maintain the overall shape of ectodomain. The conservation analysis found that TLR15 ectodomain had a highly evolutionarily conserved region on the convex surface of LRR11 module, which is probably involved in TLR15 activation process. Furthermore, the protein-protein docking analysis indicated that TLR15 TIR domains have the potential to form homodimers, the predicted interaction interface of TIR dimer was formed mainly by residues from the BB-loops and αC-helixes. Although TLR15 mainly underwent purifying selection, we detected 27 sites under positive selection for TLR15, 24 of which are located on its ectodomain. Our observations suggest the structural features of TLR15 which may be relevant to its function, but which requires further experimental validation.

Submitted to the faculty of the Bioinformatics Graduate Program in partial fulfillment of the requirements for the degree Master of Science in the School of Informatics, Indiana University December 2005 / The last decade has witnessed numerous proteomic studies which have predicted and successfully confirmed the existence of extended structurally flexible regions in protein molecules. Parallel to these advancements, the last five years of structural bioinformatics has also experienced an explosion of results on molecular recognition and its importance in protein-protein interactions. This work provides an extension to past and ongoing research efforts by looking specifically at the “flexibility and disorder†found in protein sequences involved in molecular recognition processes and known as, Molecular Recognition Elements or Molecular Recognition Features (MoREs or MoRFs, as we call them). MoRFs are relatively short in length (10 – 70 residues length); loosely structured protein regions within longer sequences that are largely disordered in nature. Interestingly, upon binding to other proteins, these MoRFs are able to undergo disorder-to-order transition. Thus, in our interpretation, MoRFs could serve as potential binding sites, and that this binding to another protein lends a functional advantage to the whole protein complex by enabling interaction with their physiological partner. There are at least three basic types of MoRFs: those that form α-helical structures upon binding, those that form β-strands (in which the peptide forms a β-sheet with additional β-strands provided by the protein partner), and those that form irregular structures when bound. Our proposed names for these structures are α-MoRF (also known as α-MoRE, alpha helical molecular recognition feature/element), β-MoRF (beta sheet molecular recognition feature/element), and I-MoRF (Irregular molecular recognition feature/element), respectively. The results presented in this work suggest that functionally significant residual structure can exist in MoRF regions prior to the actual binding event. We also demonstrate profound conformational preferences within MoRF regions for α-helices. We believe that the results from this study would subsequently improve our understanding of protein-protein interactions especially those related to the molecular recognition, and may pave way for future work on the development of protein binding site predictions. We hope that via the conclusions of this work, we would have demonstrated that within only a few of years of its conception, intrinsic protein disorder has gained wide-scale importance in the field of protein-protein interactions and can be strongly associated with molecular recognition.

Exploiting the functional diversity of proteins for fundamental research and biotechnological applications requires their functional organization into micro- and nanostructures while preserving their functional integrity to the highest possible level. My PhD research aimed to establish generic techniques based on photolithography which could be used to control the spatial as well as temporal organization of recombinantly expressed proteins on surfaces. My thesis describes in detail four strategies that I developed for achieving this goal. In the first approach a photo-induced Fenton reaction was used to selectively destroy tris(nitrilotriacetic acid) (tris-NTA) moieties on a surface. UV-irradiation through a photomask allowed localized photo-destruction and targeting of His-tagged proteins to non-irradiated regions. Photo-destruction could also be achieved by scanning selected regions with the UV laser of a confocal laser scanning microscope (CLSM) thus allowing flexible creation and modification of protein patterns. The second strategy was based on the photosensitive nitroveratryloxycarbonyl (NVOC) protection group, which was used to cage amine groups on a surface. Sequential uncaging by UV-irradiation through a photomask followed by reactions with biotin and coenzyme A was used to pattern streptavidin and ybbR-tagged proteins into microstructures. In the third approach a photo-fragmentable Histidine peptide was used to block tris-NTA surfaces against binding of His-tagged proteins. UV-irradiation through a photomask or by using a UV laser in a CLSM cleaved the peptide into short fragments which quickly dissociated from the surface due to loss in multivalency. His-tagged proteins could be efficiently targeted into irradiated regions even from a complex cell lysate. Sequential uncaging and immobilization allowed the construction of multiplexed protein patterns with a high degree of temporal control. The fourth strategy used combined peptide tags comprising of a His-tag as well as a Halo- or ybbR-tag to achieve rapid covalent immobilization of recombinant fusion proteins on surfaces functionalized with specific ligands. In combination with a photo-fragmentable histidine peptide as described above, stable spatio-temporal organization of proteins carrying these combined tags was possible. The techniques developed in this thesis enabled the photolithographical micropatterning of recombinant proteins carrying specific peptide or protein tags on surfaces in a functional manner. Owing to the generic nature of immobilization strategies, coupled with the ease of patterning, highly versatile applications of these methods both in fundamental research as well as bio-technological and analytical applications can be envisioned.

Dans la cellule, les protéines évoluent dans un environnement très dense et interagissent ainsi avec un grand nombre de partenaires spécifiques et non-spécifiques qui entrent en compétition. L’objectif de ma thèse est de caractériser les propriétés physiques et évolutives des surfaces protéiques pour comprendre comment la pression de sélection s’exerce sur les protéines, façonnant leurs interactions et régulant ainsi cette sévère compétition.Pour cela, j’ai développé une méthodologie permettant de caractériser la propension des protéines à interagir avec les protéines de leur environnement, par des approches de docking. La cartographie moléculaire permettant la visualisation et la comparaison des propriétés de la surface des protéines, j’ai donc mis en place un nouveau cadre théorique basé sur une représentation des paysages énergétiques d'interaction par des cartes d'énergies. Ces cartes (en deux dimensions) reflètent de manière synthétique la propension des surfaces protéiques à engager des interactions avec d’autres protéines. Elles sont donc d’un grand intérêt pratique pour déterminer les régions des surfaces protéiques les plus enclines à engager des interactions avec d’autres molécules.Ce nouveau cadre théorique a permis de montrer que les surfaces des protéines comprennent des régions de différents niveaux d'énergies de liaison (régions chaudes, intermédiaires et froides pour les régions d'interaction favorables, intermédiaires et défavorables respectivement).Une partie importante de la thèse a consisté à caractériser les propriétés physico-chimiques et évolutives de ces différentes régions. L'autre partie a consisté à appliquer cette méthode sur plusieurs systèmes : complexes homomériques, protéines du cytosol de S. cerevisiae, familles d'interologues. Ce travail ouvre la voie à un grand nombre d'applications en bioinformatique structurale, telles que la prédiction de sites de liaison, l’annotation fonctionnelle ou encore le design de nouvelles interactions.En conclusion, la stratégie mise en place lors de ma thèse permet d’explorer la propension d’une protéine à interagir avec des centaines de partenaires d'intérêts, et donc d'investiguer le comportement d’une protéine dans un environnement cellulaire spécifique. Cela va donc au-delà de l'utilisation classique du docking "binaire" puisque notre stratégie fournit une vision systémique des interactions protéiques à l’échelle des "résidus". / In the crowded cell, proteins interact with their functional partners, but also with a large number of non-functional partners that compete with the functional ones. The goal of this thesis is to characterize the physical properties and the evolution of protein surfaces in order to understand how selection pressure exerts on proteins, shaping their interactions and regulating this severe competition.To do this I developed a framework based on docking calculations to characterize the propensity of protein surfaces to interact with other proteins. Molecular cartography enables the visualization and the comparison of surface properties of proteins. I implemented a new theoretical framework based on the representation of interaction energy landscapes by 2-D energy maps. These maps reflect in a synthetic manner the propensity of the surface of proteins to interact with other proteins. These maps are useful from a practical point view for determining the regions of protein’s surface that are more prone to interact with other proteins. Our new theoretical framework enabled to show that the surface of proteins harbor regions with different levels of propensity to interact with other proteins (hot regions, intermediate and cold regions to favorable, intermediate and unfavorable regions respectively).A large part of this thesis work consisted in characterizing the physico-chemical properties and the evolution of these regions. The other part of this thesis work consisted in applying this methodology on several study systems: homomeric complexes, cytosolic proteins from S. cerevisiae, families of interologs. This work opens the way to numerous practical applications in structural bioinformatics, such as binding site prediction, functional annotation and the design of new interactions.To conclude, the strategy implemented in this work enable the exploration of the propensity of a protein to interact with hundred of protein partners. It thus enables the investigation of the behavior of a protein in a crowded environment. This application goes beyond the classical use of protein docking as a, because our strategy provides a systemic point of view of protein interactions at an atomic resolution.

The study of protein synthesis, and the study of gene expression in general, has accelerated in recent years. Following the advent of next-generation RNA sequencing, powerful library preparation paradigms were developed to capture regulatory activity on a genome-wide scale. In particular, ribosome profiling has emerged as a widely-used measurement of translation. In this method, the state of ribosome association across the transcriptome is obtained by isolation and sequencing of the regions of RNA bound by ribosomes, revealing a snapshot of ribosome positions from which gene-specific densities can be calculated. In combination with RNA sequencing for a measurement of baseline transcription in the same samples, ribosome profiling offers a metric of “translation efficiency”, or TE, corresponding to the average ribosome load per given transcript. Ribosome profiling has advanced the study of translation considerably. However, low throughput in the generation of ribosome profiling and RNA sequencing libraries limits the scale of the experiments that can be performed, while issues in the interpretation of aligned ribosome-protected footprints complicate their analysis, especially in systems of complex regulation. The analysis of such regulatory systems would be greatly aided by a high-throughput sequencing method that can capture translational regulation, but current methods of measuring genome-wide translation are inherently limited in scale. This thesis addresses the key issues presented above in separate chapters. Chapter 2 discusses the analysis of elongation and initiation from ribosome profiling and RNA sequencing data in a mouse model of Fragile X Syndrome. In this chapter, several methods of measuring and modeling variability in the distribution of ribosomes along a coding sequence are used alongside analyses of differential RPF and RNA abundances and their ratio, RFApm, which we distinguish from TE to emphasize its dependence on factors other than initiation rate. The chapter summarizes current information regarding the observed effects of FMRP, and proposes a model congruent with these observations and more-recently published studies. Chapters 3 and 4 present approaches to modeling or inferring translational regulatory networks, either by a novel library preparation paradigm or computational inference from publicly-available data. Chapter 3 presents riboPLATE-seq, a high-throughput RNA-seq library construction method based on the existing PLATE-seq method. The method recapitulates significant findings from ribosome profiling and RNA sequencing at a fraction of the per-sample cost, with further advantages in scalability, and could be implemented in a large-scale screen of translational regulators to create a network of their specific targets. Chapter 4 presents an approach to inferring translational regulation from integrative analysis of public ribosome profiling and RNA sequencing data, tailoring the powerful inference engine ARACNe to measure translational interactions. This yields a comprehensive network of translational regulation, assigning target genes to the set of RNA-binding proteins.

Indiana University-Purdue University Indianapolis (IUPUI) / Thousands of missense mutations have been found to be associated with human diseases, ~60% of which have been predicted to affect protein stability and/or protein-protein interactions (PPIs). Current proteomic methods for studying the effects of mutations on the cell focus on measures of protein abundance or post-translational modifications (PTMs), which cannot directly be used for PPI analysis. High-throughput methodology to evaluate how mutations in a single protein affect PPI networks would help streamline the characterization of global effects caused by mutant proteins and aid in the prediction of phenotypic outcomes resulting from genomic mutations. Temperature sensitive Mutant Proteome Profiling (TeMPP) is a novel application of a mass spectrometry (MS) based thermal proteome profiling (TPP) approach that measures changes in missense mutant containing proteomes without the requirement for large amounts of starting material, specific antibodies against proteins of interest, and/or genetic manipulation of the biological system. This study measures the impact of temperature sensitivity-inducing missense mutations of proteins in the ubiquitin proteasome system and the transcription termination machinery on the thermal stability of the proteome at large. Results reveal distinct mechanistic details that were not obtained using only steady-state transcriptome and proteome analyses. Furthermore, my data suggests that TeMPP is highly specific to proteins functionally related to the mutated protein of interest and capable of differentiating effects between two proteins in the same complex. Overall, TeMPP provides unique mechanistic insights into missense mutation dysfunction and connection of genotype to phenotype in a rapid, non-biased fashion. Use of this method along with other complementary -omics approaches will help to characterize how missense mutations affect cellular protein homeostasis and thus enable deeper insight into disease phenotypes. / 2022-08-10

The helix-loop-helix (HLH) family of transcription regulatory proteins are fundamental regulators in the processes of cell proliferation and differentiation, cell lineage determination, myogenesis, neurogenesis, and sex determination in a wide range of multicellular organisms. A gene encoding a novel class II HLH protein has recently been identified from a human B-cell eDNA library using a yeast two-hybrid screen. The predicted human ABF -1 polypeptide sequence was used to search the Caenorhabditis elegans genome database for a C. elegans ABF-1 homolog. This bHLH protein, called C. elegans ABF -1 (CeABF -1 ), has a bHLH domain that shares 72% amino acid similarity with its human ABF-1 relative. The expression of the CeABF-1 mRNA has been detected in larval stages L2, L3, L4, and adult, however the mRNA is most highly expressed at the L3 and L4 stages. CeABF -1 protein is capable of heterodimerizing with the human E2A gene product, E4 7. Like human ABF -1, CeABF -1 expression in the presence of the E4 7 protein results in a reduction in E2A mediated gene activation. It has therefore been concluded that CeABF -1 , like human ABF -1 , also acts as a transcriptional repressor. Because C. elegans shares many conserved genes with higher eukaryotic organisms it has become a model organism for in depth genetic studies. It has therefore become increasingly desirable to investigate the possibility of alternative protein-protein interactions that can potentially occur within C. elegans, so it was necessary to construct a C. elegans eDNA library along with the appropriate bait vector expressing the CeABF- 1 protein. The titer ofthe primary library was calculated to be 9.7 x I06 clones, 10-fold greater than minimum titer requirement of I x I 06 clones for a good representational library. Sequencing of the CeABF -I insert confirmed successful construction of a mutation-free bait construct suitable for use in yeast two-hybrid screening. Yeast-two hybrid analysis revealed two new interactors, one of which was identified as an aldose reductase homolog, while the other remains uncharacterized.

The ability of intracellular pathogens to invade and spread from non-phagocytic cell to another is an imperative mechanism broadly investigated in cellular biology. Listeria monocytogenes (Lm) –one example of intracellular pathogens, invades specifically human epithelial cells using its surface proteins Internalin A (InlA) and InlB, respectively. InlA alone is sufficient to internalise the pathogen into the host cells by interacting with human E-cadherin –specifically the N-terminal domain 1 (hEC1). The InlA variant (InlAm) that was previously made to increase the binding affinity to hEC1 was successfully engineered in this study. This variant was found to interact with N-terminal domain 1 of murine E-cadherin (mEC1) by isothermal titration calorimetry (ITC). Previously, the InlAm was reported to allow Lm invasion into M villous cells that express murine N-cadherin –possibly via the N-terminal domain 1 (mNC1). In this study, InlAm did not have affinity for mNC1 or N-terminal domain 1 of human N-cadherin (hNC1) when analysed by ITC –possibly due to amino acid sequences variation from both mEC1 and hEC1. However, by structurally engineering the complexes (InlAm/mNC1 and InlAm/hNC1) and studying their interaction interfaces, it was revealed that mNC1 and hNC1 can be recognised by InlAm just like hEC1. This was supported by the distances between interacting amino acid residues in InlAm/hEC1 crystal structure complex, which were also conserved in the engineered complexes. These observations related to the fact that the N-terminal domains of E- and N-cadherin are structurally conserved, therefore that could have attributed to similarities observed in the engineered complexes. Therefore, future studies would aim at using alternative methods that could support or disprove one of the two findings, that is whether InlAm and any of the N-terminal domains of N-cadherin interact or not. / Dissertation (MSc)--University of Pretoria, 2016. / National Research Foundation (NRF) / The Allan Gray Orbis Foundation / The Mandela Rhodes Foundation / Biochemistry / MSc / Unrestricted