Teaching old indicators even more tricks: binding affinity measurements with the guest-displacement assay (GDA)

A simple change has important consequences: the guest-displacement assay (GDA) is introduced which allows for binding affinity determinations of supramolecular complexes with spectroscopically silent hosts and guests. GDA is complementary to indicator-displacement assay for affinity measurements with soluble components, but is superior for insoluble or for weakly binding guests

A supramolecular cucurbit[8]uril-based rotaxane chemosensor for the optical tryptophan detection in human serum and urine

Sensing small biomolecules in biofluids remains challenging for many optical chemosensors based on supramolecular host-guest interactions due to adverse interplays with salts, proteins, and other biofluid components. Instead of following the established strategy of developing alternative synthetic binders with improved affinities and selectivity, we report a molecular engineering approach that addresses this biofluid challenge. Here we introduce a cucurbit[8]uril-based rotaxane chemosensor feasible for sensing the health-relevant biomarker tryptophan at physiologically relevant concentrations, even in protein- and lipid-containing human blood serum and urine. Moreover, this chemosensor enables emission-based high-throughput screening in a microwell plate format and can be used for label-free enzymatic reaction monitoring and chirality sensing. Printed sensor chips with surface-immobilized rotaxane-microarrays are used for fluorescence microscopy imaging of tryptophan. Our system overcomes the limitations of current supramolecular host-guest chemosensors and will foster future applications of supramolecular sensors for molecular diagnostics

Molecular Probes, Chemosensors, and Nanosensors for Optical Detection of Biorelevant Molecules and Ions in Aqueous Media and Biofluids

Synthetic molecular probes, chemosensors, and nanosensors used in combination with innovative assay protocols hold great potential for the development of robust, low-cost, and fast-responding sensors that are applicable in biofluids (urine, blood, and saliva). Particularly, the development of sensors for metabolites, neurotransmitters, drugs, and inorganic ions is highly desirable due to a lack of suitable biosensors. In addition, the monitoring and analysis of metabolic and signaling networks in cells and organisms by optical probes and chemosensors is becoming increasingly important in molecular biology and medicine. Thus, new perspectives for personalized diagnostics, theranostics, and biochemical/medical research will be unlocked when standing limitations of artificial binders and receptors are overcome. In this review, we survey synthetic sensing systems that have promising (future) application potential for the detection of small molecules, cations, and anions in aqueous media and biofluids. Special attention was given to sensing systems that provide a readily measurable optical signal through dynamic covalent chemistry, supramolecular host–guest interactions, or nanoparticles featuring plasmonic effects. This review shall also enable the reader to evaluate the current performance of molecular probes, chemosensors, and nanosensors in terms of sensitivity and selectivity with respect to practical requirement, and thereby inspiring new ideas for the development of further advanced systems

Biological properties of extracellular vesicles and their physiological functions

In the past decade, extracellular vesicles (EVs) have been recognized as potent vehicles of intercellular communication, both in prokaryotes and eukaryotes. This is due to their capacity to transfer proteins, lipids and nucleic acids, thereby influencing various physiological and pathological functions of both recipient and parent cells. While intensive investigation has targeted the role of EVs in different pathological processes, for example, in cancer and autoimmune diseases, the EV-mediated maintenance of homeostasis and the regulation of physiological functions have remained less explored. Here, we provide a comprehensive overview of the current understanding of the physiological roles of EVs, which has been written by crowd-sourcing, drawing on the unique EV expertise of academia-based scientists, clinicians and industry based in 27 European countries, the United States and Australia. This review is intended to be of relevance to both researchers already working on EV biology and to newcomers who will encounter this universal cell biological system. Therefore, here we address the molecular contents and functions of EVs in various tissues and body fluids from cell systems to organs. We also review the physiological mechanisms of EVs in bacteria, lower eukaryotes and plants to highlight the functional uniformity of this emerging communication system

Swarm Learning for decentralized and confidential clinical machine learning

Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of precision medicine1,2. Patients with leukaemia can be identified using machine learning on the basis of their blood transcriptomes3. However, there is an increasing divide between what is technically possible and what is allowed, because of privacy legislation4,5. Here, to facilitate the integration of any medical data from any data owner worldwide without violating privacy laws, we introduce Swarm Learning—a decentralized machine-learning approach that unites edge computing, blockchain-based peer-to-peer networking and coordination while maintaining confidentiality without the need for a central coordinator, thereby going beyond federated learning. To illustrate the feasibility of using Swarm Learning to develop disease classifiers using distributed data, we chose four use cases of heterogeneous diseases (COVID-19, tuberculosis, leukaemia and lung pathologies). With more than 16,400 blood transcriptomes derived from 127 clinical studies with non-uniform distributions of cases and controls and substantial study biases, as well as more than 95,000 chest X-ray images, we show that Swarm Learning classifiers outperform those developed at individual sites. In addition, Swarm Learning completely fulfils local confidentiality regulations by design. We believe that this approach will notably accelerate the introduction of precision medicine

Swarm Learning for decentralized and confidential clinical machine learning

Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of precision medicine. Patients with leukaemia can be identified using machine learning on the basis of their blood transcriptomes. However, there is an increasing divide between what is technically possible and what is allowed, because of privacy legislation. Here, to facilitate the integration of any medical data from any data owner worldwide without violating privacy laws, we introduce Swarm Learning—a decentralized machine-learning approach that unites edge computing, blockchain-based peer-to-peer networking and coordination while maintaining confidentiality without the need for a central coordinator, thereby going beyond federated learning. To illustrate the feasibility of using Swarm Learning to develop disease classifiers using distributed data, we chose four use cases of heterogeneous diseases (COVID-19, tuberculosis, leukaemia and lung pathologies). With more than 16,400 blood transcriptomes derived from 127 clinical studies with non-uniform distributions of cases and controls and substantial study biases, as well as more than 95,000 chest X-ray images, we show that Swarm Learning classifiers outperform those developed at individual sites. In addition, Swarm Learning completely fulfils local confidentiality regulations by design. We believe that this approach will notably accelerate the introduction of precision medicine

Biological properties of extracellular vesicles and their physiological functions

María Yáñez-Mó#, Pia R.-M. Siljander#, Zoraida Andreu, Apolonija Bedina Zavec, Francesc E. Borràs, Edit I. Buzas, Krisztina Buzas, Enriqueta Casal, Francesco Cappello, Joana Carvalho, Eva Colás, Anabela Cordeiro-da Silva, Stefano Fais, Juan M. Falcon-Perez, Irene M. Ghobrial, Bernd Giebel, Mario Gimona, Michael Graner, Ihsan Gursel, Mayda Gursel, Niels H. H. Heegaard, An Hendrix30, Peter Kierulf, Katsutoshi Kokubun, Maja Kosanovic, Veronika Kralj-Iglic, Eva-Maria Krämer-Albers, Saara Laitinen, Cecilia Lässer, Thomas Lener, Erzsébet Ligeti, Aija Linē, Georg Lipps, Alicia Llorente, Jan Lötvall, Mateja Manček-Keber, Antonio Marcilla, Maria Mittelbrunn, Irina Nazarenko, Esther N.M. Nolte-‘t Hoen, Tuula A. Nyman, Lorraine O'Driscoll, Mireia Olivan, Carla Oliveira, Éva Pállinger, Hernando A. del Portillo, Jaume Reventós, Marina Rigau, Eva Rohde, Marei Sammar, Francisco Sánchez-Madrid, N. Santarém1, Katharina Schallmoser, Marie Stampe Ostenfeld, Willem Stoorvogel, Roman Stukelj, Susanne G. Van der Grein, M. Helena Vasconcelos, Marca H. M. Wauben and Olivier De WeverIn the past decade, extracellular vesicles (EVs) have been recognized as potent vehicles of intercellular communication, both in prokaryotes and eukaryotes. This is due to their capacity to transfer proteins, lipids and nucleic acids, thereby influencing various physiological and pathological functions of both recipient and parent cells.While intensive investigation has targeted the role of EVs in different pathological processes, for example, in cancer and autoimmune diseases, the EV-mediated maintenance of homeostasis and the regulation of physiological functions have remained less explored. Here, we provide a comprehensive overview of the current understanding of the physiological roles of EVs, which has been written by crowd-sourcing, drawing on the unique EV expertise of academia-based scientists, clinicians and industry based in 27 European countries, the United States and Australia. This review is intended to be of relevance to both researchers already working on EV biology and to newcomers who will encounter this universal cell biological system. Therefore, here we address the molecular contents and functions of EVs in various tissues and body fluids from cell systems to organs. We also review the physiological mechanisms of EVs in bacteria, lower eukaryotes and plants to highlight the functional uniformity of this emerging communication system.Peer reviewe

Supramolecular Chemosensor and Assay Development in Aqueous Media

Die molekulare Diagnostik hat in den letzten Jahrzehnten durch die Möglichkeit der Früherkennung von Krankheiten und möglichen Risikofaktoren zunehmend an Bedeutung gewonnen. Da Krankheiten häufig in direktem Zusammenhang mit einem gestörten Stoffwechsel stehen, liegt der Schwerpunkt dabei auf dem selektiven Nachweis und der Quantifizierung von Metaboliten (sog. Biomarkern) in physiologisch relevanten Konzentrationsbereichen. Aktuell basiert der Nachweis von Biomarkern meist auf zeit- und kostenintensiven instrumentellen Detektionsmethoden (HPLC-MS oder NMR). Eine vielversprechende Alternative dazu sind schnell ansprechende und einfach zu handhabende Chemosensoren, die auf dem Prinzip der molekularen Erkennung von Wirt•Gast Komplexen basieren. Die Entwicklung von robusten Chemosensoren, die eine sensitive und selektive Detektion von Analyten in einem komplexen Medium wie beispielsweise Urin ermöglichen, stellt bisher jedoch eine Herausforderung dar. Im Rahmen der vorliegenden Arbeit wurde die Entwicklung neuer, robuster Chemosensorsysteme, die für den selektiven Nachweis biologisch relevanter Moleküle in wässrigen salzhaltigen Puffern und Biomedien verwendet werden können, vorangetrieben. Dabei wurden hauptächlich die makrozyklischen Cucurbit[n]urile eingesetzt. Durch die Entwicklung eines neuen Assaytyps (Guest Displacement Assay) zur Bestimmung der Bindungsaffinität von unlöslichen und schwach bindenden Gastmolekülen wurde ein tieferes Verständnis von der Wirt•Gast Wechselwirkung erlangt. Weiterhin wurde im Rahmen einer Konzept-Studie ein Array-basierter Sensor-Assay für den Nachweis kationischer und neutraler Analyten in wässrigen Lösungen entwickelt. In diesem kombinatorischen Ansatz wurden Chemosensoren mit unterschiedlichen Erkennungseinheiten eingesetzt, um verschiedene Wirkstoffe wie beispielsweise Narkotika voneinander zu unterscheiden. Die gewonnenen Erkenntnisse über die Wirt-Gast-Chemie wurden im letzten Teil der Arbeit genutzt, um die Selektivität und Affinität von selbstassemblierten Chemosensoren zu verbessern. Durch das Design eines Rotaxan-basierten CB8•Farbstoff-Chemosensors konnte eine hohe Salzstabilität und eine damit verbundene Funktionalität des Chemosensors zur Detektion von Biomarkern in komplexen Medien erreicht werden. Der entwickelte Chemosensor ermöglichte die emissionsbasierte Detektion des Biomarkers Tryptophan im Hochdurchsatz-Screening-Format in Blutserum und Urin, sowie die Überwachung enzymatischer Reaktionen und die chiralitätsbasierte Untersuchung von Enantiomeren. Darüber hinaus konnten gedruckte Sensorchips mit oberflächenimmobilisierten Rotaxan-Microarrays für die fluoreszenzmikroskopische Tryptophan-Detektion hergestellt werden

A supramolecular cucurbit[8]uril-based rotaxane chemosensor for the optical tryptophan detection in human serum and urine

Sensing small biomolecules in biofluids using host-guest chemosensors remains challenging, in part due to the impact of interfering components. Here, the authors develop a dual-macrocyclic rotaxane for tryptophan detection which can function in biofluids such as human serum and urine

DNMT1 deficiency impacts on plasmacytoid dendritic cells in homeostasis and autoimmune disease

Dendritic cells (DCs) are heterogeneous immune regulators involved in autoimmune diseases. Epigenomic mechanisms orchestrating DC development and DC subset diversification remain insufficiently understood but could be important to modulate DC fate for clinical purposes. By combining whole-genome methylation assessment with the analysis of mice expressing reduced DNA methyltransferase 1 levels, we show that distinct DNA methylation levels and patterns are required for the development of plasmacytoid (pDC) and conventional DC subsets. We provide clonal in vivo evidence for DC lineage establishment at the stem cell level, and we show that a high DNA methylation threshold level is essential for Flt3-dependent survival of DC precursors. Importantly, reducing methylation predominantly depletes pDC and ameliorates systemic lupus erythematosus in an autoimmunity mouse model. This study shows how DNA methylation regulates the production of DC subsets and provides a potential rationale for targeting autoimmune disease using hypomethylating agents