Harnessing DNA computing and nanopore decoding for practical applications: from informatics to microRNA-targeting diagnostics.

DNA computing represents a subfield of molecular computing with the potential to become a significant area of next-generation computation due to the high programmability inherent in the sequence-dependent molecular behaviour of DNA. Recent studies in DNA computing have extended from mathematical informatics to biomedical applications, with a particular focus on diagnostics that exploit the biocompatibility of DNA molecules. The output of DNA computing devices is encoded in nucleic acid molecules, which must then be decoded into human-recognizable signals for practical applications.

DNA circuit-based immunoassay for ultrasensitive protein pattern classification.

Cytokines are important immune modulators, and pivotal biomarkers for the diagnostic of various diseases. In standard analytical procedure, each protein is detected individually, using for instance gold standard ELISA protocols or nucleic acid amplification-based immunoassays. In recent years, DNA nanotechnology has been employed for creating sophisticated biomolecular systems that perform neuromorphic computing on molecular inputs, opening the door to concentration pattern recognition for biomedical applications.

Time-encoded electrical detection of trace RNA biomarker by integrating programmable molecular amplifier on chip.

One of the serious challenges facing modern point-of-care (PoC) molecular diagnostic platforms relate to reliable detection of low concentration biomarkers such as nucleic acids or proteins in biological samples. Non-specific analyte-receptor interactions due to competitive binding in the presence of abundant molecules, inefficient mass transport and very low number of analyte molecules in sample volume, in general pose critical hurdles for successful implementation of such PoC platforms for clinical use. Focusing on these specific challenges, this work reports a unique PoC biosensor that combines the advantages of nanoscale biologically-sensitive field-effect transistor arrays (BioFET-arrays) realized in a wafer-scale top-down nanofabrication as high sensitivity electrical transducers with that of sophisticated molecular programs (MPs) customized for selective recognition of analyte miRNAs and amplification resulting in an overall augmentation of signal transduction strategy.

Functional analysis of single enzymes combining programmable molecular circuits with droplet-based microfluidics.

The analysis of proteins at the single-molecule level reveals heterogeneous behaviours that are masked in ensemble-averaged techniques. The digital quantification of enzymes traditionally involves the observation and counting of single molecules partitioned into microcompartments via the conversion of a profluorescent substrate. This strategy, based on linear signal amplification, is limited to a few enzymes with sufficiently high turnover rate.

Enzyme Self-Selection Using Molecular Programs.

Directed evolution provides a powerful route for enzyme engineering. State-of-the-art techniques functionally screen up to millions of enzyme variants using high throughput microfluidic sorters, whose operation remains technically challenging. Alternatively, self-selection methods, analogous to complementation strategies, open the way to even higher throughputs, but have been demonstrated only for a few specific activities.

Silicon chambers for enhanced incubation and imaging of microfluidic droplets.

Droplet microfluidics has become a powerful tool in life sciences, underlying digital assays, single-cell sequencing or directed evolution, and it is making foray in physical sciences as well. Imaging and incubation of droplets are crucial, yet they are encumbered by the poor optical, thermal and mechanical properties of PDMS, a material commonly used in microfluidics labs. Here we show that Si is an ideal material for droplet chambers.

Molecular Computation for Molecular Classification.

DNA as an informational polymer has, for the past 30 years, progressively become an essential molecule to rationally build chemical reaction networks endowed with powerful signal-processing capabilities. Whether influenced by the silicon world or inspired by natural computation, molecular programming has gained attention for diagnosis applications. Of particular interest for this review, molecular classifiers have shown promising results for disease pattern recognition and sample classification.

Programmable Ultrasensitive Molecular Amplifier for Digital and Multiplex MicroRNA Quantification.

Digital bioassays, popularized by digital PCR, provide some of the most robust and accurate methods for nucleic acid quantification. In this chapter, we detail a protocol for digital, isothermal, and multiplex detection of microRNAs, which relies on a recently developed amplification method. Our approach uses programmable ultrasensitive molecular amplifiers (PUMAs) to reveal the presence of target microRNAs randomly isolated in picoliter-size microfluidic droplets.

Nonlinear decision-making with enzymatic neural networks.

Artificial neural networks have revolutionized electronic computing. Similarly, molecular networks with neuromorphic architectures may enable molecular decision-making on a level comparable to gene regulatory networks. Non-enzymatic networks could in principle support neuromorphic architectures, and seminal proofs-of-principle have been reported.

Signal-on/signal-off bead-based assays for the multiplexed monitoring of base excision repair activities by flow cytometry.

As the support of all living kingdoms' genetic information, the integrity of the DNA biomolecule must be preserved. To that goal, cells have evolved specific DNA repair pathways to thwart a large diversity of chemical substances and radiations that alter the DNA structure and lead to the development of pathologies such as cancers or neurodegenerative diseases. When dysregulated, activity rates of various actors of DNA repair can play a key role in carcinogenesis as well as in drugs resistance or hypersensitivity mechanisms.

A small-molecule chemical interface for molecular programs.

In vitro molecular circuits, based on DNA-programmable chemistries, can perform an increasing range of high-level functions, such as molecular level computation, image or chemical pattern recognition and pattern generation. Most reported demonstrations, however, can only accept nucleic acids as input signals. Real-world applications of these programmable chemistries critically depend on strategies to interface them with a variety of non-DNA inputs, in particular small biologically relevant chemicals.

Advances in multiplexed techniques for the detection and quantification of microRNAs.

MicroRNA detection is currently a crucial analytical chemistry challenge: almost 2000 papers were referenced in PubMed in 2018 and 2019 for the keywords "miRNA detection method". MicroRNAs are potential biomarkers for multiple diseases including cancers, neurodegenerative and cardiovascular diseases. Since miRNAs are stably released in bodily fluids, they are of prime interest for the development of non-invasive diagnosis methods, such as liquid biopsies.

Multiplex Digital MicroRNA Detection Using Cross-Inhibitory DNA Circuits.

Ubiquitous post-transcriptional regulators in eukaryotes, microRNAs are currently emerging as promising biomarkers of physiological and pathological processes. Multiplex and digital detection of microRNAs represents a major challenge toward the use of microRNA signatures in clinical settings. The classical reverse transcription polymerase chain reaction quantification approach has important limitations because of the need for thermocycling and a reverse transcription step.

Isothermal digital detection of microRNAs using background-free molecular circuit.

MicroRNAs, a class of transcripts involved in the regulation of gene expression, are emerging as promising disease-specific biomarkers accessible from tissues or bodily fluids. However, their accurate quantification from biological samples remains challenging. We report a sensitive and quantitative microRNA detection method using an isothermal amplification chemistry adapted to a droplet digital readout.

Streamlined digital bioassays with a 3D printed sample changer.

Droplet-based microfluidics has permeated many areas of life sciences including biochemistry, biology and medicine. Water-in-oil droplets act as independent femto- to nano-liter reservoirs, enabling the parallelization of (bio)chemical reactions with a minimum sample input. Among the range of applications spanned by droplet microfluidics, digital detection of biomolecules, using Poissonian isolation of single molecules in compartments, has gained considerable attention due to the high accuracy, sensitivity and robustness of these methods.

Emerging isothermal amplification technologies for microRNA biosensing: Applications to liquid biopsies.

The potential of microRNAs (miRNAs) as biomarker candidates in clinical practice for diagnosis, prognosis and treatment response prediction, especially in liquid biopsies, has led to a tremendous demand for techniques that can detect these molecules rapidly and accurately. Hence, numerous achievements have been reported recently in miRNA research. In this review, we discuss the challenges associated with the emerging field of miRNA detection, which are linked to the intrinsic properties of miRNAs, advantages and drawbacks of the currently available technologies and their potential applications in clinical research.

Spatiotemporal control of DNA-based chemical reaction network via electrochemical activation in microfluidics.

In recent years, DNA computing frameworks have been developed to create dynamical systems which can be used for information processing. These emerging synthetic biochemistry tools can be leveraged to gain a better understanding of fundamental biology but can also be implemented in biosensors and unconventional computing. Most of the efforts so far have focused on changing the topologies of DNA molecular networks or scaling them up.

Synthesis and materialization of a reaction-diffusion French flag pattern.

During embryo development, patterns of protein concentration appear in response to morphogen gradients. These patterns provide spatial and chemical information that directs the fate of the underlying cells. Here, we emulate this process within non-living matter and demonstrate the autonomous structuration of a synthetic material.

Microscopic agents programmed by DNA circuits.

Information stored in synthetic nucleic acids sequences can be used in vitro to create complex reaction networks with precisely programmed chemical dynamics. Here, we scale up this approach to program networks of microscopic particles (agents) dispersed in an enzymatic solution. Agents may possess multiple stable states, thus maintaining a memory and communicate by emitting various orthogonal chemical signals, while also sensing the behaviour of neighbouring agents.

Postoperative hyperglycaemia control reduces postoperative complications in patients subject to total knee arthroplasty.

Background: The aim of our study was the early detection and treatment of patients with unknown alterations of the hydrocarbon metabolism subject to total knee arthroplasty in order to reduce the incidence of postoperative complications.

Methods: Patients were classified as non-diabetic patients (group 1), diabetic patients (group 2) and patients with stress hyperglycaemia (group 3). The last two groups were recommended assessment by a primary care physician (PCP).

Boosting functionality of synthetic DNA circuits with tailored deactivation.

Molecular programming takes advantage of synthetic nucleic acid biochemistry to assemble networks of reactions, in vitro, with the double goal of better understanding cellular regulation and providing information-processing capabilities to man-made chemical systems. The function of molecular circuits is deeply related to their topological structure, but dynamical features (rate laws) also play a critical role. Here we introduce a mechanism to tune the nonlinearities associated with individual nodes of a synthetic network.

A multiplex assay based on encoded microbeads conjugated to DNA NanoBeacons to monitor base excision repair activities by flow cytometry.

We reported here a new assay to detect base excision repair activities from purified enzymes, as well as in cell-free extracts. The multiplex format rests upon the encoding of magnetic beads with the fluorophore Alexa 488, thanks to a fast and original procedure. Fluorescently encoded microbeads are subsequently functionalized by lesion-containing DNA NanoBeacons labeled with the fluorophore/quencher pair Cyanine 5/BHQ2.

On-bead fluorescent DNA nanoprobes to analyze base excision repair activities.

DNA integrity is constantly threatened by endogenous and exogenous agents that can modify its physical and chemical structure. Changes in DNA sequence can cause mutations sparked by some genetic diseases or cancers. Organisms have developed efficient defense mechanisms able to specifically repair each kind of lesion (alkylation, oxidation, single or double strand break, mismatch, etc).

Arthritis self-management. A five-year history of a patient education program.

There are several lessons to be learned from the ASM experience. First, and most outstanding, is the willingness of large numbers of people across the United States to participate in both the ASM course and the research. Second, we have found that lay leaders can be trained to offer a rather complex arthritis course.