Hydrogels with Reversible Crosslinks for Improved Localised Stem Cell Retention: A Review.

Successful stem cell applications could have a significant impact on the medical field, where many lives are at stake. However, the translation of stem cells to the clinic could be improved by overcoming challenges in stem cell transplantation and in vivo retention at the site of tissue damage. This review aims to showcase the most recent insights into developing hydrogels that can deliver, retain, and accommodate stem cells for tissue repair. Hydrogels can be used for tissue engineering, as their flexibility and water content makes them excellent substitutes for the native extracellular matrix. Moreover, the mechanical properties of hydrogels are highly tuneable, and recognition moieties to control cell behaviour and fate can quickly be introduced. This review covers the parameters necessary for the physicochemical design of adaptable hydrogels, the variety of (bio)materials that can be used in such hydrogels, their application in stem cell delivery and some recently developed chemistries for reversible crosslinking. Implementing physical and dynamic covalent chemistry has resulted in adaptable hydrogels that can mimic the dynamic nature of the extracellular matrix.

Nanobodies for the Early Detection of Ovarian Cancer.

Ovarian cancer ranks fifth in cancer-related deaths among women. Since ovarian cancer patients are often asymptomatic, most patients are diagnosed only at an advanced stage of disease. This results in a 5-year survival rate below 50%, which is in strong contrast to a survival rate as high as 94% if detected and treated at an early stage. Monitoring serum biomarkers offers new possibilities to diagnose ovarian cancer at an early stage. In this study, nanobodies targeting the ovarian cancer biomarkers human epididymis protein 4 (HE4), secretory leukocyte protease inhibitor (SLPI), and progranulin (PGRN) were evaluated regarding their expression levels in bacterial systems, epitope binning, and antigen-binding affinity by enzyme-linked immunosorbent assay and surface plasmon resonance. The selected nanobodies possess strong binding affinities for their cognate antigens (KD~0.1-10 nM) and therefore have a pronounced potential to detect ovarian cancer at an early stage. Moreover, it is of utmost importance that the limits of detection (LOD) for these biomarkers are in the pM range, implying high specificity and sensitivity, as demonstrated by values in human serum of 37 pM for HE4, 163 pM for SLPI, and 195 pM for PGRN. These nanobody candidates could thus pave the way towards multiplexed biosensors.

Direct Immobilization of Engineered Nanobodies on Gold Sensors.

Single-domain antibodies, known as nanobodies, have great potential as biorecognition elements for sensors because of their small size, affinity, specificity, and robustness. However, facile and efficient methods of nanobody immobilization are sought that retain their maximum functionality. Herein, we describe the direct immobilization of nanobodies on gold sensors by exploiting a modified cysteine strategically positioned at the C-terminal end of the nanobody. The experimental data based on secondary ion mass spectrometry, circular dichroism, and surface plasmon resonance, taken together with a detailed computational work (molecular dynamics simulations), support the formation of stable and well-oriented nanobody monolayers. Furthermore, the nanobody structure and activity is preserved, wherein the nanobody is immobilized at a high density (approximately 1 nanobody per 13 nm2). The strategy for the spontaneous nanobody self-assembly is simple and effective and possesses exceptional potential to be used in numerous sensing platforms, ranging from clinical diagnosis to environmental monitoring.

The Metabolic Landscape of Lung Cancer: New Insights in a Disturbed Glucose Metabolism.

Metabolism encompasses the biochemical processes that allow healthy cells to keep energy, redox balance and building blocks required for cell development, survival, and proliferation steady. Malignant cells are well-documented to reprogram their metabolism and energy production networks to support rapid proliferation and survival in harsh conditions via mutations in oncogenes and inactivation of tumor suppressor genes. Despite the histologic and genetic heterogeneity of tumors, a common set of metabolic pathways sustain the high proliferation rates observed in cancer cells. This review with a focus on lung cancer covers several fundamental principles of the disturbed glucose metabolism, such as the "Warburg" effect, the importance of the glycolysis and its branching pathways, the unanticipated gluconeogenesis and mitochondrial metabolism. Furthermore, we highlight our current understanding of the disturbed glucose metabolism and how this might result in the development of new treatments.

A deeper understanding of the spontaneous derepression of the URA3 gene in MaV203 Saccharomyces cerevisiae and its implications for protein engineering and the reverse two-hybrid system.

Within the field of protein-based biomaterials, the need exists for both covalent and oriented bioconjugation strategies for improved performance. Such bioconjugation reactions can be facilitated by engineering proteins with chemically activated amino acids at strategically chosen sites. The incorporation of these unnatural amino acids (uAAs) can be achieved by using the nonsense suppression technique. This requires an aminoacyl-tRNA-synthetase (aaRS) that exclusively recognizes the uAA and loads it to the corresponding tRNA. Appropriate (aaRS) mutants can be found through reverse engineering using the Saccharomyces cerevisiae strain MaV203. This strain contains a counterselectable, Gal4p-inducible SPAL10::URA3 fusion and deletions in the endogenous GAL80 and GAL4 genes. Therefore, it has been used extensively for the screening of aaRS mutant libraries. It is generally assumed that the SPAL10 promoter actively represses the URA3 gene in the absence of Gal4p, resulting in MaV203 cells with a Ura- phenotype. The current contribution reveals that in a small fraction of MaV203 cells, a basal expression of the URA3 gene occurs. The unexpected URA3 expression is reported for the first time, and the nature of the mutation causing this expression was identified as a spontaneous recessive mutation in a single gene of a protein involved in the repression of the SPAL10 promoter. The basal URA3 expression causes aaRS mutants to be missed, which affects the outcome of the library screening. It is demonstrated that the use of diploid cells can circumvent the MaV203 Ura+ phenotype, allowing for an optimization of S. cerevisiae library screening.

Site-Selective Functionalization of Nanobodies Using Intein-Mediated Protein Ligation for Innovative Bioconjugation.

An expression strategy is presented in order to produce nanobodies modified with a clickable alkyne functionality at their C-terminus via the intein-mediated protein ligation (IPL) technique. The protocol focuses on the cytoplasmic expression and extraction of a nanobody-intein-chitin binding domain (CBD) fusion protein in E. coli SHuffle® T7 cells, in the commonly used Luria-Bertani (LB) medium. The combination of these factors results in a high yield and nearly complete alkynation of the nanobody at its C-terminus via IPL. The resulting alkynated nanobodies retain excellent binding capacity toward the nanobody targeted antigen. The presented protocol benefits from time- and cost-effectiveness and allows for a feasible upscaling of functionalized (here alkynated) nanobodies. The production of high quantities of site-specifically modified nanobodies paves the way to (1) novel biosurface applications that demand for homogeneously oriented nanobodies having their active site fully accessible for target (e.g., biomarker) binding, and (2) innovative applications such as localized drug delivery and image guided surgery by covalent "click" chemistry coupling of these alkynated nanobodies to a multitude of azide-containing counterparts as there are drug containing polymers and contrast labeling agents.

Phosphodiester Hydrogels for Cell Scaffolding and Drug Release Applications.

Given the major structural role phosphodiesters play in the organism it is surprising they have not been more widely adopted as a building block in sophisticated biomimetic hydrogels and other biomaterials. The potential benefits are substantial: phosphoester-based materials show excellent compatibility with blood, cells, and a remarkable resistance to protein adsorption that may trigger a foreign-body response. In this work, a novel class of phosphodiester-based ionic hydrogels is presented which are crosslinked via a phosphodiester moiety. The material shows good compatibility with blood, supports the growth and proliferation of tissue and presents opportunities for use as a drug release matrix as shown with fluorescent model compounds. The final gel is produced via base-induced elimination from a phosphotriester precursor, which is made by the free-radical polymerization of a phosphotriester crosslinker. This crosslinker is easily synthesized via multigram one-pot procedures out of common laboratory chemicals. Via the addition of various comonomers the properties of the final gel may be tuned leading to a wide range of novel applications for this exciting class of materials.

Glutamine Addiction and Therapeutic Strategies in Lung Cancer.

Lung cancer cells are well-documented to rewire their metabolism and energy production networks to support rapid survival and proliferation. This metabolic reorganization has been recognized as a hallmark of cancer. The increased uptake of glucose and the increased activity of the glycolytic pathway have been extensively described. However, over the past years, increasing evidence has shown that lung cancer cells also require glutamine to fulfill their metabolic needs. As a nitrogen source, glutamine contributes directly (or indirectly upon conversion to glutamate) to many anabolic processes in cancer, such as the biosynthesis of amino acids, nucleobases, and hexosamines. It plays also an important role in the redox homeostasis, and last but not least, upon conversion to α-ketoglutarate, glutamine is an energy and anaplerotic carbon source that replenishes tricarboxylic acid cycle intermediates. The latter is generally indicated as glutaminolysis. In this review, we explore the role of glutamine metabolism in lung cancer. Because lung cancer is the leading cause of cancer death with limited curative treatment options, we focus on the potential therapeutic approaches targeting the glutamine metabolism in cancer.

Identification of metabolic phenotypes in childhood obesity by 1H NMR metabolomics of blood plasma.

AIM: To identify the plasma metabolic profile associated with childhood obesity and its metabolic phenotypes. MATERIALS & METHODS: The plasma metabolic profile of 65 obese and 37 normal-weight children was obtained using proton NMR spectroscopy. NMR spectra were rationally divided into 110 integration regions, which reflect relative metabolite concentrations, and were used as statistical variables. RESULTS: Obese children show increased levels of lipids, N-acetyl glycoproteins, and lactate, and decreased levels of several amino acids, α-ketoglutarate, glucose, citrate, and cholinated phospholipids as compared with normal-weight children. Metabolically healthy children show lower levels of lipids and lactate, and higher levels of several amino acids and cholinated phospholipids, as compared with unhealthy children. CONCLUSION: This study reveals new valuable findings in the field of metabolomics and childhood obesity. Although validation should be performed, the proof of principle looks promising and justifies a deeper investigation of the diagnostic possibilities of proton NMR metabolomics in follow-up studies. Trial registration: NCT03014856. Registered January 9, 2017.

Metabolic profiling of type 1 diabetes mellitus in children and adolescents: a case-control study.

BACKGROUND: Type 1 diabetes mellitus (T1DM) is one of the most common pediatric diseases and its incidence is rising in many countries. Recently, it has been shown that metabolites other than glucose play an important role in insulin deficiency and the development of diabetes. The aim of our study was to look for discriminating variation in the concentrations of small-molecule metabolites in the plasma of T1DM children as compared to non-diabetic matched controls using proton nuclear magnetic resonance (1H-NMR)-based metabolomics. METHODS: A cross-sectional study was set-up to examine the metabolic profile in fasting plasma samples from seven children with poorly controlled T1DM and seven non-diabetic controls aged 8-18 years, and matched for gender, age and BMI-SDS. The obtained plasma 1H-NMR spectra were rationally divided into 110 integration regions, representing the metabolic phenotype. These integration regions reflect the relative metabolite concentrations and were used as statistical variables to construct (train) a classification model in discriminating between T1DM patients and controls. RESULTS: The total amount of variation explained by the model between the groups is 81.0% [R2Y(cum)] and within the groups is 75.8% [R2X(cum)]. The predictive ability of the model [Q2(cum)] obtained by cross-validation is 50.7%, indicating that the discrimination between the groups on the basis of the metabolic phenotype is valid. Besides the expected higher concentration of glucose, the relative concentrations of lipids (triglycerides, phospholipids and cholinated phospholipids) are clearly lower in the plasma of T1DM patients as compared to controls. Also the concentrations of the amino acids serine, tryptophan and cysteine are slightly decreased. CONCLUSIONS: The present study demonstrates that metabolic profiling of plasma by 1H-NMR spectroscopy allows to discriminate between T1DM patients and controls. The metabolites that significantly differ between both groups might point to disturbances in biochemical pathways including (1) choline deficiency, (2) increased gluconeogenesis, and (3) glomerular hyperfiltration. Although the sample size of this study is still somewhat limited and a validation should be performed, the proof of principle looks promising and justifies a deeper investigation of the diagnostic possibilities of 1H-NMR metabolomics in follow-up studies. Trial registration NCT03014908. Registered 06/01/2017. Retrospectively registered.

Cytoplasmic versus periplasmic expression of site-specifically and bioorthogonally functionalized nanobodies using expressed protein ligation.

Site-specific functionalization of nanobodies after introducing bioorthogonal groups offers the possibility to biofunctionalize surfaces with a uniformly oriented layer of nanobodies. In this paper, expressed protein ligation (EPL) was used for site-specific alkynation of the model nanobody NbBcII10. In contrast to EPL constructs, which are typically expressed in the cytoplasm, nanobodies are expressed in the periplasm where its oxidizing environment ensures a correct folding and disulfide bond formation. Different pathways were explored to express the EPL constructs in the periplasm but simultaneously, the effect of cytoplasmic expression on the functionality of NbBcII10 was also evaluated. By using Escherichia coli SHuffle®T7 cells, it was demonstrated that expression of the EPL complex in the cytoplasm was readily established and that site-specifically mono-alkynated nanobodies can be produced with the same binding properties as the non-modified NbBcII10 expressed in the periplasm. In conclusion, this paper shows that periplasmic expression of the EPL complex is quite challenging, but cytoplasmic expression has proven to be a valuable alternative.

High Electronic Conductance through Double-Helix DNA Molecules with Fullerene Anchoring Groups.

Determining the mechanism of charge transport through native DNA remains a challenge as different factors such as measuring conditions, molecule conformations, and choice of technique can significantly affect the final results. In this contribution, we have used a new approach to measure current flowing through isolated double-stranded DNA molecules, using fullerene groups to anchor the DNA to a gold substrate. Measurements were performed at room temperature in an inert environment using a conductive AFM technique. It is shown that the π-stacked B-DNA structure is conserved on depositing the DNA. As a result, currents in the nanoampere range were obtained for voltages ranging between ±1 V. These experimental results are supported by a theoretical model that suggests that a multistep hopping mechanism between delocalized domains is responsible for the long-range current flow through this specific type of DNA.

Enhanced Biosensor Platforms for Detecting the Atherosclerotic Biomarker VCAM1 Based on Bioconjugation with Uniformly Oriented VCAM1-Targeting Nanobodies.

Surface bioconjugation of biomolecules has gained enormous attention for developing advanced biomaterials including biosensors. While conventional immobilization (by physisorption or covalent couplings using the functional groups of the endogenous amino acids) usually results in surfaces with low activity, reproducibility and reusability, the application of methods that allow for a covalent and uniformly oriented coupling can circumvent these limitations. In this study, the nanobody targeting Vascular Cell Adhesion Molecule-1 (NbVCAM1), an atherosclerotic biomarker, is engineered with a C-terminal alkyne function via Expressed Protein Ligation (EPL). Conjugation of this nanobody to azidified silicon wafers and Biacore™ C1 sensor chips is achieved via Copper(I)-catalyzed azide-alkyne cycloaddition (CuAAC) "click" chemistry to detect VCAM1 binding via ellipsometry and surface plasmon resonance (SPR), respectively. The resulting surfaces, covered with uniformly oriented nanobodies, clearly show an increased antigen binding affinity, sensitivity, detection limit, quantitation limit and reusability as compared to surfaces prepared by random conjugation. These findings demonstrate the added value of a combined EPL and CuAAC approach as it results in strong control over the surface orientation of the nanobodies and an improved detecting power of their targets-a must for the development of advanced miniaturized, multi-biomarker biosensor platforms.

Detection of Lung Cancer through Metabolic Changes Measured in Blood Plasma.

INTRODUCTION: Low-dose computed tomography, the currently used tool for lung cancer screening, is characterized by a high rate of false-positive results. Accumulating evidence has shown that cancer cell metabolism differs from that of normal cells. Therefore, this study aims to evaluate whether the metabolic phenotype of blood plasma allows detection of lung cancer. METHODS: The proton nuclear magnetic resonance spectrum of plasma is divided into 110 integration regions, representing the metabolic phenotype. These integration regions reflect the relative metabolite concentrations and were used to train a classification model in discriminating between 233 patients with lung cancer and 226 controls. The validity of the model was examined by classifying an independent cohort of 98 patients with lung cancer and 89 controls. RESULTS: The model makes it possible to correctly classify 78% of patients with lung cancer and 92% of controls, with an area under the curve of 0.88. Important moreover is the fact that the model is convincing, which is demonstrated by validation in the independent cohort with a sensitivity of 71%, a specificity of 81%, and an area under the curve of 0.84. Patients with lung cancer have increased glucose and decreased lactate and phospholipid levels. The limited number of patients in the subgroups and their heterogeneous nature do not (yet) enable differentiation between histological subtypes and tumor stages. CONCLUSIONS: Metabolic phenotyping of plasma allows detection of lung cancer, even in an early stage. Increased glucose and decreased lactate levels are pointing to an increased gluconeogenesis and are in accordance with recently published findings. Furthermore, decreased phospholipid levels confirm the enhanced membrane synthesis.

An efficient protocol towards site-specifically clickable nanobodies in high yield: cytoplasmic expression in Escherichia coli combined with intein-mediated protein ligation.

In this study, several expression strategies were investigated in order to develop a generic, highly productive and efficient protocol to produce nanobodies modified with a clickable alkyne function at their C-terminus via the intein-mediated protein ligation (IPL) technique. Hereto, the nanobody targeting the vascular cell adhesion molecule 1 (NbVCAM1) was used as a workhorse. The highlights of the protocol can be ascribed to a cytoplasmic expression of the nanobody-intein-chitin-binding domain fusion protein in the Escherichia coli SHuffle(®) T7 cells with a C-terminal extension, i.e. LEY, EFLEY or His6 spacer peptide, in the commonly used Luria-Bertani medium. The combination of these factors led to a high yield (up to 22 mg/l of culture) and nearly complete alkynation efficiency of the C-terminally modified nanobody via IPL. This yield can even be improved to ∼45 mg/l in the EnPresso(®) growth system but this method is more expensive and time-consuming. The resulting alkynated nanobodies retained excellent binding capacity towards the recombinant human VCAM1. The presented protocol benefits from time- and cost-effectiveness, which allows a feasible production up-scaling of generic alkynated nanobodies. The production of high quantities of site-specifically modified nanobodies paves the way to new biosurface applications that demand for a homogeneously oriented nanobody coupling. Prospectively, the alkynated nanobodies can be covalently coupled to a multitude of azide-containing counterparts, e.g. contrast labeling agents, particles or surfaces for numerous innovative applications.

Protein engineering for directed immobilization.

Much effort has been put into the optimization of the functional activity of proteins. For biosensors this protein functional optimization will increase the biosensor's sensitivity and/or selectivity. However, the strategy chosen for the immobilization of the proteins to the sensor surface might be equally important for the development of sensor surfaces that are optimally biologically active. Several studies published in recent years show that the oriented immobilization of the bioactive molecules improves the sensor's properties. In this review, we discuss the state of the art of the different protein immobilization strategies that are commonly used today with a special focus on biosensor applications. These strategies include nonspecific immobilization techniques either by physical adsorption, by covalent coupling, or by specific immobilization via site-specifically introduced tags or bio-orthogonal chemistry. The different tags and bio-orthogonal chemistry available and the techniques to site-specifically introduce these groups in proteins are also discussed.