Signal Amplification in Highly Ordered Networks Is Driven by Geometry

Here, we hypothesize that, in biological systems such as cell surface receptors that relay external signals, clustering leads to substantial improvements in signaling efficiency. Representing cooperative signaling networks as planar graphs and applying Euler’s polyhedron formula, we can show that clustering may result in an up to a 200% boost in signaling amplitude dictated solely by the size and geometry of the network. This is a fundamental relationship that applies to all clustered systems regardless of its components. Nature has figured out a way to maximize the signaling amplitude in receptors that relay weak external signals. In addition, in cell-to-cell interactions, clustering both receptors and ligands may result in maximum efficiency and synchronization. The importance of clustering geometry in signaling efficiency goes beyond biological systems and can inform the design of amplifiers in nonbiological systems.

Efficient Detection of Gastric Cancer Marker miR-185 Using Graphene Oxide and Nuclease DSN

Since miR-185 has been identified as a prognostic biomarker to forecast the course of survival and relapse in gastric cancer (GC), quantitative detection of miR-185 features in developing personalized strategies for GC treatment. In this study, a highly sensitive method for miR-185 detection was rationally designed with the characteristic of fluorescent signal amplification and it was based on constructing graphene oxide sensor and utilizing duplex specific nuclease (DSN). In detail, the cleavage of many DNA signal probes was successfully triggered by the miR-185 target which contributed to the target-recycling mechanism. The protocol exhibited a prominent ability to analyze miR-185 in solution, and it can detect miR-185 at different concentrations as low as 476 pM with a linear range of 0–50 nM. Moreover, this method has gained its prominence in distinguishing the target miRNA from various sequences with one to three base mismatches or other miRNAs. Taken together, it presented the prominent potential to be a candidate tool in the field of clinical diagnosis considering its precise and efficient ability to detect miR-185.

Construction and Signal Feature Processing of Gold Nanobiosensors Based on the Internet of Things

With the continuous development of signal amplification technology and nanotechnology, more and more electrochemical sensors combining nanotechnology and signal amplification technology are applied in the field of analysis. In this paper, combined with the Internet of Things technology, the construction of gold nanobiosensors and signal characteristic processing are carried out. In this paper, a T-rich DNA probe is used as the recognition element, modified on the electrode surface, combined with DNA-modified nanogold particle amplification technology, and the electroactive substance peg amine is used as the signal molecule to develop a highly sensitive electrochemical biosensor for the detection of melamine. The sensor has good specificity and sensitivity, and the detection limit is as low as 0.5 NM. In addition, by combining sensors with the Internet of Things technology, melamine monitoring and signal characteristic processing can be carried out in real time. This model can easily achieve the purpose of accurate and quantitative analysis of melamine toxins and can be effective for food safety.

Sensitive electrochemiluminescence analysis of lung cancer marker miRNA-21 based on RAFT signal amplification

An electrochemiluminescence approach based on surface-initiated reversible addition-fragmentation chain transfer (SI-RAFT) was developed for miRNA-21 detection for the first time. The SI-RAFT polymerization generates polymer chains with functional groups that...