Academic literature on the topic 'Protein folding machinery'

The folding of most newly synthesized proteins in the cell requires the interaction of a variety of protein cofactors known as molecular chaperones. These molecules recognize and bind to nascent polypeptide chains and partially folded intermediates of proteins, preventing their aggregation and misfolding. There are several families of chaperones; those most involved in protein folding are the 40-kDa heat shock protein (HSP40; DnaJ), 60-kDa heat shock protein (HSP60; GroEL), and 70-kDa heat shock protein (HSP70; DnaK) families. The availability of high-resolution structures has facilitated a more detailed understanding of the complex chaperone machinery and mechanisms, including the ATP-dependent reaction cycles of the GroEL and HSP70 chaperones. For both of these chaperones, the binding of ATP triggers a critical conformational change leading to release of the bound substrate protein. Whereas the main role of the HSP70/HSP40 chaperone system is to minimize aggregation of newly synthesized proteins, the HSP60 chaperones also facilitate the actual folding process by providing a secluded environment for individual folding molecules and may also promote the unfolding and refolding of misfolded intermediates.

We studied the role of mitochondrial cyclophilin 20 (CyP20), a peptidyl-prolyl cis-trans isomerase, in preprotein translocation across the mitochondrial membranes and protein folding inside the organelle. The inhibitory drug cyclosporin A did not impair membrane translocation of preproteins, but it delayed the folding of an imported protein in wild-type mitochondria. Similarly, Neurospora crassa mitochondria lacking CyP20 efficiently imported preproteins into the matrix, but folding of an imported protein was significantly delayed, indicating that CyP20 is involved in protein folding in the matrix. The slow folding in the mutant mitochondria was not inhibited by cyclosporin A. Folding intermediates of precursor molecules reversibly accumulated at the molecular chaperones Hsp70 and Hsp60 in the matrix. We conclude that CyP20 is a component of the mitochondrial protein folding machinery and that it cooperates with Hsp70 and Hsp60. It is speculated that peptidyl-prolyl cis-trans isomerases in other cellular compartments may similarly promote protein folding in cooperation with chaperone proteins.

Protein folding in the cell was originally assumed to be a spontaneous process, based on Anfinsen’s discovery that purified proteins can fold on their own after removal from denaturant. Consequently cell biologists showed little interest in the protein folding process. This changed only in the mid and late 1980s, when the chaperone story began to unfold. As a result, we now know that in vivo, protein folding requires assistance by a complex machinery of molecular chaperones. To ensure efficient folding, members of different chaperone classes receive the nascent protein chain emerging from the ribosome and guide it along an ordered pathway toward the native state. I was fortunate to contribute to these developments early on. In this short essay, I will describe some of the critical steps leading to the current concept of protein folding as a highly organized cellular process.

The prevailing current view of protein folding is the thermodynamic hypothesis, under which the native folded conformation of a protein corresponds to the global minimum of Gibbs free energy G. We question this concept and show that the empirical evidence behind the thermodynamic hypothesis of folding is far from strong. Furthermore, physical theory-based approaches to the prediction of protein folds and their folding pathways so far have invariably failed except for some very small proteins, despite decades of intensive theory development and the enormous increase of computer power. The recent spectacular successes in protein structure prediction owe to evolutionary modeling of amino acid sequence substitutions enhanced by deep learning methods, but even these breakthroughs provide no information on the protein folding mechanisms and pathways. We discuss an alternative view of protein folding, under which the native state of most proteins does not occupy the global free energy minimum, but rather, a local minimum on a fluctuating free energy landscape. We further argue that ΔG of folding is likely to be positive for the majority of proteins, which therefore fold into their native conformations only through interactions with the energy-dependent molecular machinery of living cells, in particular, the translation system and chaperones. Accordingly, protein folding should be modeled as it occurs in vivo, that is, as a non-equilibrium, active, energy-dependent process.

COPII vesicles of 60-90nm diameter are known to export secretory cargoes from endoplasmic reticulum (ER). However, they cannot be employed to export bulky cargoes like the collagens that can reach up to 400 nm in length. Collagens, the most abundant secretory proteins, make up 25% of our dry body weight and required for building extracellular matrix, and to produce mineralized bones. The discovery TANGO1 has made the process of collagen export at the ER amenable to molecular analysis. I set out to identify its interactors through a proximity biotinylation coupled with mass spectrometry approach. My results show that TANGO1 bridges the cytoplasmic export machinery with ER luminal folding machinery. It is noteworthy that several of the luminal interactors identified are exclusively dedicated to collagen folding and modification. This search also revealed the identity of protein called Torsin-1A, and my data show that it potentially functions in degrading unfolded collagens. I also asked whether TANGO1 is required to export transmembrane collagens. Transmembrane collagens are unique as they have a cytoplasmic domain that can in theory recruit COPII proteins to facilitate their export. I observed minimal dependency on TANGO1 for transmembrane collagen XVII export. Interestingly, TANGO1 binds both folded and misfolded Collagen XVII. Altogether, my data suggest that TANGO1 functions predominantly to export soluble collagens its ability to bind both folded and unfolded collagens is used by the cells to eliminate unfolded collagens and to ensure only the full assembled and functional collagen are secreted.
Les vesícules COPII, que tenen un diàmetre de 60-90nm, transporten les proteïnes que seran secretades des del reticle endoplasmàtic (RE). No obstant, aquestes vesícules no poden ser usades per transportar proteïnes molt voluminoses, com els col·làgens que poden arribar a mesurar 400 nm de longitud. Els col·làgens, el tipus de proteïna secretada més abundant, suposen el 25% del pes sec del nostre cos i són necessaris per construir la matriu extracel·lular, així com per generar els ossos mineralitzats. El descobriment de la proteïna TANGO1 ha permès l’anàlisi molecular del procés d’exportació dels col·làgens des del RE. Un dels objectius d’aquesta tesi era identificar quines proteïnes interaccionen amb TANGO1 usant un enfocament de biotinilació per proximitat conjugat amb una espectrometria de masses. Els meus resultats han mostrat que TANGO1 serveix de connexió entre la maquinària d’exportació citoplasmàtica i la maquinària de plegament de la llum del RE. És important destacar que una quantitat important de les proteïnes identificades que interaccionen amb TANGO1 al RE estan dedicades exclusivament al correcte plegament i modificació dels col·làgens. Aquesta investigació també ha revelat la identitat d’una proteïna anomenada Torsin-1A, i les meves dades han demostrat que la seva funció potencial és en la degradació de col·làgens que no han sigut correctament plegats. Una altra de les preguntes que he respost en aquesta tesi és si TANGO1 és necessari també per l’exportació de col·làgens amb un domini transmembrana. Aquests col·làgens són únics ja que tenen un domini citoplasmàtic que en teoria pot reclutar directament les proteïnes COPII per facilitar la seva exportació del RE. Els meus resultats han mostrat una dependència mínima en TANGO1 per l’exportació del col·lagen amb domini transmembrana XVII. No obstant, és interessant remarcar que TANGO1 pot unir col·lagen XVII independentment de si està correctament o incorrectament plegat. En conclusió, les meves dades suggereixen que TANGO1 funciona predominantment per exportar col·làgens solubles, i la seva habilitat per unir col·làgens tant si estan correctament o incorrectament plegats és usada per les cèl·lules per eliminar aquells col·làgens mal plegats per assegurar que només els col·làgens totalment estructurats i funcionals seran secretats.

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Protein fold recognition is an important task in the biological area. Different machine learning methods such as multiclass classifiers, one-vs-all and ensemble nested dichotomies were applied to this task and, in most of the cases, multiclass approaches were used. In this paper, we compare classifiers organized in tree structures to classify folds. We used a benchmark dataset containing 125 features to predict folds, comparing different supervised methods and achieving 54% of accuracy. An approach related to tree-structure of classifiers obtained better results in comparison with a hierarchical approach.
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The Support Vector Machine (SVM) classifier seeks to find the separating hyperplane wx=r that maximizes the margin distance 1/||w||2^2. It can be formalized as an optimization problem that minimizes the hinge loss Ʃ[subscript i](1-y[subscript i] f(x[subscript i]))₊ plus the L₂-norm of the weight vector. SVM is now a mainstay method of machine learning. The goal of this dissertation work is to solve different biomedical data analysis problems efficiently using extensions of SVM, in which we augment the standard SVM formulation based on the application requirements. The biomedical applications we explore in this thesis include: cancer diagnosis, biomarker discovery, and energy function learning for protein structure prediction. Ovarian cancer diagnosis is problematic because the disease is typically asymptomatic especially at early stages of progression and/or recurrence. We investigate a sample set consisting of 44 women diagnosed with serous papillary ovarian cancer and 50 healthy women or women with benign conditions. We profile the relative metabolite levels in the patient sera using a high throughput ambient ionization mass spectrometry technique, Direct Analysis in Real Time (DART). We then reduce the diagnostic classification on these metabolic profiles into a functional classification problem and solve it with functional Support Vector Machine (fSVM) method. The assay distinguished between the cancer and control groups with an unprecedented 99\% accuracy (100\% sensitivity, 98\% specificity) under leave-one-out-cross-validation. This approach has significant clinical potential as a cancer diagnostic tool. High throughput technologies provide simultaneous evaluation of thousands of potential biomarkers to distinguish different patient groups. In order to assist biomarker discovery from these low sample size high dimensional cancer data, we first explore a convex relaxation of the L₀-SVM problem and solve it using mixed-integer programming techniques. We further propose a more efficient L₀-SVM approximation, fractional norm SVM, by replacing the L₂-penalty with L[subscript q]-penalty (q in (0,1)) in the optimization formulation. We solve it through Difference of Convex functions (DC) programming technique. Empirical studies on the synthetic data sets as well as the real-world biomedical data sets support the effectiveness of our proposed L₀-SVM approximation methods over other commonly-used sparse SVM methods such as the L₁-SVM method. A critical open problem in emph{ab initio} protein folding is protein energy function design. We reduce the problem of learning energy function for extit{ab initio} folding to a standard machine learning problem, learning-to-rank. Based on the application requirements, we constrain the reduced ranking problem with non-negative weights and develop two efficient algorithms for non-negativity constrained SVM optimization. We conduct the empirical study on an energy data set for random conformations of 171 proteins that falls into the {it ab initio} folding class. We compare our approach with the optimization approach used in protein structure prediction tool, TASSER. Numerical results indicate that our approach was able to learn energy functions with improved rank statistics (evaluated by pairwise agreement) as well as improved correlation between the total energy and structural dissimilarity.

My research focuses on understanding the importance of human mitochondrial Hsp70 (Grp75) chaperone machinery for the maintenance of protein quality control inside the mitochondrial matrix. The investigations carried out during this study have been addressed towards gaining better insights into the working of Grp75 chaperone folding machinery in association with its diverse set of co-chaperones residing in human mitochondria. Additionally, the research also focuses on explaining the various modes of Grp75 participation leading to multiple disease conditions. The thesis has been divided into the following sections as follows: Chapter I: An introduction to the mitochondrial import machinery and role of mitochondrial Hsp70 chaperone folding machinery for the maintenance of protein quality control: Mitochondrion is an essential organelle present in the eukaryotic cell and requires more than 1500 proteins for its proper functioning. Although, mitochondria harbour their own genome, it encodes for only 13 proteins in humans. The rest of the entire proteome is encoded by the nuclear genome and requires proper targeting of proteins to different compartments of mitochondria. Remarkably, mitochondrial matrix alone requires more than 60% of the proteome for its suitable functioning. Briefly, the mitochondrial matrix destined polypeptide passes through the outer membrane translocon; the ‘TOM’ complex and then enters the TIM23 translocon present in the inner membrane of mitochondria. The complete translocation of the polypeptide into the mitochondrial matrix side requires the assistance of mtHsp70 based motor system present on the matrix side which pulls the polypeptide into the matrix in an ATP-dependent manner and with the assistance of various co-chaperones. Subsequently, the unfolded polypeptide is to be folded back to its native state, which is ensured again by the mtHsp70 based chaperone folding machinery. Importantly, while 20% of mtHsp70 is involved in protein import, 80% of mtHsp70 is dedicated for protein folding. In addition to mtHsp70, the chaperone folding machinery consists of various soluble co-chaperones such as the J-proteins which stimulate the ATP hydrolysis rate of Hsp70. Furthermore, another co-chaperone termed as a nucleotide exchange factor ensures binding of fresh ATP molecule onto Hsp70 ensuring multiple rounds of folding cycles. To understand the relevance of mitochondrial Hsp70 chaperone folding machine in the maintenance of protein quality control, Chapter I of the thesis has been divided into multiple sections as follows: Briefly, the initial portion of Chapter I provide a glimpse of the translocon components present in mitochondria for targeting of proteins to outer membrane, inner membrane and inter-membrane space. Owing to the vast proteome size of the mitochondrial matrix, the following section describes the detailed mechanism and translocation process of the mitochondrial matrix targeted proteins. Additionally, subsequent sections of Chapter I provide a comprehensive description of each of the mtHsp70 chaperone folding components, which maintain the protein quality control in the matrix. The players that constitute the chaperone folding machines are mitochondrial Hsp70, J-proteins, nucleotide exchange factors and the newly discovered human escort protein. Essentially, the section provides information about the cellular distribution, structure and function of each of these players constituting the mtHsp70 chaperone folding machine. Loss of regulation between these players leads to defects in protein folding. Imbalance in protein homeostasis is one of the primary causes for mitochondrial dysfunction leading to various diseases. Importantly, recent literature has highlighted the involvement of mtHsp70 chaperone folding players in Parkinson’s disease (PD), Myelodysplastic syndrome (MDS) and cancer. In accordance, the last section of the Chapter I has been dedicated to describe the basic cell biology and proposed mechanisms for the above diseased states. Interestingly, in comparison to yeast and bacteria, the composition of mtHsp70 chaperone folding machinery in humans is unique and distinctly different. Owing to a lack of information about the functioning of human mitochondrial Hsp70 chaperone folding machinery and with an emphasis on understanding its role in various disease manifestations, the objectives that were laid for my PhD thesis are as follows: 1) Functional in vitro reconstitution of the human Grp75 chaperone folding machinery by purifying all the Grp75 chaperone folding machinery players namely; Grp75 (human mtHsp70), hTid-1L and hTid-1S (J-proteins), GrpEL1 (nucleotide exchange factor) and Human escort protein (Hep). 2) Dissection of the intrinsic biochemical defects associated with the variants of Grp75 reported in Parkinson’s disease (PD). 3) To understand the correlation between elevated levels of Grp75 and its contribution to malignancy. In conclusion, the current study has highlighted some of the key features of human Grp75 chaperone folding machinery and its regulation in the maintenance of human mitochondrial matrix protein quality control, failure of which leads to pathological conditions. Chapter II: Reconstitution of the human Grp75 chaperone folding machinery to understand the functional interplay between the multiple protein components: The mitochondrial Heat shock protein 70 (mtHsp70) machinery components are highly conserved among eukaryotes, including humans. However, the functional properties of human mtHsp70 machinery components have not been characterized among all eukaryotic families. To study the functional interactions, we have reconstituted the components of mtHsp70 chaperone machine (Hsp70/J-protein/GrpE/Hep) and systematically analyzed in vitro conditions for biochemical functions. We observed that the sequence-specific interaction of human mtHsp70 towards mitochondrial client proteins differs significantly from its yeast counterpart Ssc1. Interestingly, the helical lid of human mtHsp70 was found dispensable to the binding of P5-peptide as compared to the other Hsp70’s. We observed that the two human mitochondrial matrix J-protein splice-variants differentially regulate the mtHsp70 chaperone cycle. Strikingly, our results demonstrated that human Hep possesses a unique ability to stimulate the ATPase activity of mtHsp70 as well as to prevent the aggregation of unfolded client proteins similar to J-proteins. We observed that Hep binds with the C-terminus of mtHsp70 in a full-length context, and this interaction is distinctly different from unfolded client-specific or J-protein binding. In addition, we found that the interaction of Hep at the C-terminus of mtHsp70 is regulated by the helical lid region. However, the interaction of Hep at the ATPase domain of the human mtHsp70 is mutually exclusive with J-proteins, thereby promoting a similar conformational change that leads to ATPase stimulation. Moreover, we have also dissected out the inter-domain defective nature associated with the point mutant of Grp75 implicated in Myelodysplastic syndrome thus providing an explanation for the loss of function of Grp75 eventually leading to loss of protein quality control in the diseased state. Chapter III: Enhanced J-protein interaction and compromised protein stability of Grp75 variants leads to mitochondrial dysfunction in Parkinson’s disease: Parkinson’s disease (PD) is the second most prevalent progressive neurological disorder commonly associated with impaired mitochondrial function in dopaminergic neurons. Although familial PD is multi-factorial in nature, a recent proteomic screen involving PD-patients revealed two mitochondrial Hsp70 variants (P509S and R126W) that are implicated in PD-pathogenesis. However, molecular mechanisms underlying how mtHsp70 PD-variants are centrally involved in PD-progression is totally elusive. In this report, we provide mechanistic insights into the mitochondrial dysfunction associated with human mtHsp70 PD-variants. Biochemically, R126W variant showed severely compromised protein stability and was found highly susceptible to aggregation at physiological conditions. Strikingly, on the other hand, P509S variant exhibits significantly enhanced interaction with J-protein co-chaperones involved in folding and import machinery, thus altering the overall regulation of chaperone mediated folding cycle and protein homeostasis. To assess the impact of mtHsp70 PD-mutations at the cellular level, we have developed yeast as a model system by making analogous mutations in Ssc1 ortholog. Interestingly, PD-mutations in yeast (R103W and P486S) exhibit multiple in vivo phenotypes, which are associated with ‘mitochondrial dysfunction’ such as mitochondrial DNA (mtDNA) loss and increased susceptibility to oxidative stress recapitulating the cellular features of dopaminergic neurons similar to those reported in other PD-models. Together, our observations for both the variants strongly indicate a definite involvement of mtHsp70 as a susceptibility factor in Parkinson’s disease. Chapter IV: To understand the correlation between elevated levels of Grp75 and its contribution to malignancy: Multiple studies carried out by various groups have reported the presence of elevated levels of Grp75 in cancer cells. Furthermore, proteomic screens show a positive correlation with the higher levels of Grp75 and the aggressive or metastatic nature of cancer. Importantly, cancer cells also exhibit altered mitochondrial metabolism and are found to be under constant oxidative stress pressure. Moreover, Grp75 actively participates in maintenance of mitochondrial function and as well is reported to interact with many putative oncoproteins. However, there is little information available on the possible role of Grp75 in modulating the cellular niche which might favor towards increased malignant transformation of cells. To identify pathways for explaining the correlation between Grp75 and cancer, our initial attempts have focused on monitoring the multiple cellular changes influenced by elevated levels of Grp75 in a cell line based system. To our surprise, transient transfection of cells with Grp75 led to a tremendous increase in the reactive oxygen species levels. Furthermore, a strong positive correlation between the extent of increased levels of Grp75 and the amount of ROS generated in these cells was established. As expected, increased ROS levels observed in Grp75 overexpressing cells also resulted in reduced cell viability. Notably, mitochondrial superoxide generation was found to be the major source for the observed increment in ROS levels in Grp75 expressing cells. In addition, the localization profile of the exogenously expressed Grp75 protein highlighted the fact that the protein was found to be predominantly targeted to mitochondria. Strikingly, the elevated Grp75 levels led to an increase in mitochondrial mass and also displayed a higher proportion of circular and fragmented mitochondria in these cells. Together, the above preliminary observations hint towards a strong correlation between the levels of Grp75 and its influence on the redox biology of cells providing an additional and a possible explanation of the mode of participation of Grp75 in generation and progression of malignancy.

Indiana University-Purdue University Indianapolis (IUPUI)
Computational protein design aims at designing amino acid sequences that can fold into a target structure and perform a desired function. Many computational design methods have been developed and their applications have been successful during past two decades. However, the success rate of protein design remains too low to be of a useful tool by biochemists whom are not an expert of computational biology. In this dissertation, we first developed novel computational assessment techniques to assess several state-of-the-art computational techniques. We found that significant progresses were made in several important measures by two new scoring functions from RosettaDesign and from OSCAR-design, respectively. We also developed the first machine-learning technique called SPIN that predicts a sequence profile compatible to a given structure with a novel nonlocal energy-based feature. The accuracy of predicted sequences is comparable to RosettaDesign in term of sequence identity to wild type sequences. In the last two application chapters, we have designed self-inhibitory peptides of Escherichia coli methionine aminopeptidase (EcMetAP) and de novo designed barstar. Several peptides were confirmed inhibition of EcMetAP at the micromole-range 50% inhibitory concentration. Meanwhile, the assessment of designed barstar sequences indicates the improvement of OSCAR-design over RosettaDesign.

Hsp70 molecular chaperones protect proteins from aggregation, assist in their native structure formation, and regulate stress responses in the cell. A mechanistic understanding of Hsp70 function will be necessary to explain its physiological roles and guide the therapeutic modulation of various disease states. To this end, several fundamental features of the Hsp70 structure-function relationship are investigated. The central component of Hsp70 chaperone function is its capacity for allosteric signaling between structural domains and tunable binding of misfolded protein substrates. In order to identify a cooperative network of sites that mediates interdomain allostery within Hsp70, a mutational correlation analysis is performed using genetic data. Evolutionarily correlations that describe an allosteric network are validated by examining roles for implicated sites in cellular fitness and molecular function. In a second component of the Hsp70 molecular mechanism, a novel function is discovered for the disordered C-terminal tail. This region of the protein enhances the refolding efficiency of substrate proteins independently of interdomain allostery and is required in the cell upon depletion of compensatory chaperones, suggesting a previously undescribed mode of chaperone action. Finally, experiments are initiated to assess the dynamic assembly of Hsp70 domains in various allosteric states and how domain orientations may be guided through interaction with partner co-chaperone proteins.

Neurodegenerative diseases (NDDs) often represent disorders of protein folding. Rather than large aggregates, recent evidence suggests that soluble oligomers of misfolded proteins are the most neurotoxic species. Emerging evidence points to small, soluble oligomers of misfolded proteins as the cause of synaptic dysfunction and loss, the major pathological correlate to disease progression in many NDDs including Alzheimer’s disease. The protein quality control machinery of the cell, which includes molecular chaperones as found in the endoplasmic reticulum (ER), the ubiquitin-proteasome system (UPS), and various forms of autophagy, can counterbalance the accumulation of misfolded proteins to some extent. Their ability to eliminate the neurotoxic effects of misfolded proteins, however, declines with age. A plausible explanation for the age-dependent deterioration of the quality control machinery involves compromise of these systems by excessive generation of reactive oxygen species (ROS), such as superoxide anion (O2-), and reactive nitrogen species (RNS), such as nitric oxide (NO). The resulting redox stress contributes to the accumulation of misfolded proteins. Here, we focus on aberrantly increased generation of NO-related species since this process appears to accelerate the manifestation of key neuropathological features, including protein misfolding. We review the chemical mechanisms of posttranslational modification by RNS such as protein S-nitrosylation of critical cysteine thiol groups and nitration of tyrosine residues, showing how they contribute to the pathogenesis of NDDs.

AbstractDNA is the molecular basis of life and would total about three meters if linearly untangled. To fit in the cell nucleus at the micrometer scale, DNA has, therefore, to fold itself into several layers of hierarchical structures, which are thought to be associated with functional compartmentalization of genomic features like genes and their regulatory elements. For this reason, understanding the mechanisms of genome folding is a major biological research problem. Studying chromatin conformation requires high computational resources and complex data analyses pipelines. In this chapter, we first present the PyGMQL software for interactive and scalable data exploration for genomic data. PyGMQL allows the user to inspect genomic datasets and design complex analysis pipelines. The software presents itself as a easy-to-use Python library and interacts seamlessly with other data analysis packages. We then use the software for the study of chromatin conformation data. We focus on the epigenetic determinants of Topologically Associating Domains (TADs), which are region of high self chromatin interaction. The results of this study highlight the existence of a “grammar of genome folding” which dictates the formation of TADs and boundaries, which is based on the CTCF insulator protein. Finally we focus on the relationship between chromatin conformation and gene expression, designing a graph representation learning model for the prediction of gene co-expression from gene topological features obtained from chromatin conformation data. We demonstrate a correlation between chromatin topology and co-expression, shedding a new light on this debated topic and providing a novel computational framework for the study of co-expression networks.

Proteinuria is one of the hallmarks of preeclampsia (PE) that differentiates other hypertensive disorders of pregnancy. Protein misfolding and aggregation is an emerging pathological condition underlying many chronic metabolic diseases and neurodegenerative diseases. Recent studies indicate protein aggregation as an emerging biomarker of preeclampsia, wherein several proteins are aggregated and dysregulated in the body fluids of preeclamptic women, provoking the multi-systemic clinical manifestations of the disease. At the cellular level, these misfolded and aggregated proteins are potentially toxic interfering with the normal physiological process, eliciting the unfolded protein response (UPR) pathway activators in the endoplasmic reticulum (ER) that subsequently augments the ER quality control systems to remove these aberrant proteins. ER resident chaperones, folding enzymes and other proteins serve as part of the ER quality control machinery in restoring nascent protein folding. These ER chaperones are crucial for ER function aiding in native protein folding, maintaining calcium homeostasis, as sensors of ER stress and also as immune modulators. Consequently, ER chaperones seems to be involved in many cellular processes, yet the association is expanding to be explored. Understanding the role and mechanism of ER chaperones in regulating protein misfolding and aggregation would provide new avenues for therapeutic intervention as well as for the development of new diagnostic approaches.

This chapter examines proteins, the dominant proportion of cellular machinery, and the relationship between protein structure and function. The multitude of biological processes needed to keep cells functioning are managed in the organism or cell by a massive cohort of proteins, together known as the proteome. The twenty amino acids that make up the bulk of proteins produce the vast array of protein structures. However, amino acids alone do not provide quite enough chemical variety to complete all of the biochemical activity of a cell, so the chapter also explores post-translation modifications. It finishes by looking as some dynamic aspects of proteins, including enzyme kinetics and the protein folding problem.