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Arizona-based startup Mechnano has exited “stealth mode” in the research and development of its carbon nanotube (CNT) technology for 3D printing materials.

The company has developed its first product, an electrostatic discharge (ESD) resin that delivers dissipative properties to 3D printed parts without compromising mechanical properties.

“These are extraordinary breakthroughs for additive manufacturing materials,” said Steven Lowder, Mechnano’s Founder and CEO. “By focusing on the nanoscale, or the molecular level, we are able to make exponential improvements in AM materials at the macro-level.

NEW YORK — In a groundbreaking development, scientists have created a revolutionary method to track the spread of cancer throughout the body, potentially paving the way for more effective treatments against this devastating disease. The new technology, developed by researchers at Cold Spring Harbor Laboratory and Weill Cornell Medicine in New York, uses genetic “barcodes” to monitor the movement of individual cancer cells, providing unprecedented insights into the process of metastasis.

In recent years, the scientific community has made significant strides in the field of gene editing, particularly through the development of the CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) systems. In 2020, the Nobel Prize in Chemistry was awarded to the scientists for the discovery of CRISPR–Cas9 system, a revolutionary genome editing technology that advanced DNA therapeutics. Subsequently, the CRISPR–Cas13 system has emerged as a potential tool to identify and rectify errors in RNA sequences. CRISPR–Cas13 is a novel technology is specifically engineered for virus detection and RNA-targeted therapeutics. The CRISPR RNA (CrRNA) targets specific and non-specific RNA sequences, and Cas13 is an effector protein that undergoes conformational changes and cleaves the target RNA. This RNA-targeting system holds tremendous promise for therapeutics and presents a revolutionary tool in the landscape of molecular biology.

Now, in a recently published BioDesign Research study, a team of researchers led by Professor Yuan Yao from ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, China has elucidated the latest research trends of CRISPR–Cas13 in RNA-targeted therapies. Talking about this paper, which was published online on 6 September 2024, in Volume 6 of the journal, Prof. Yao says, By focusing on RNA-;the intermediary between DNA and proteins-;CRISPR-Cas13 allows scientists to temporarily manipulate gene expression without inducing permanent changes to the genome. This flexibility makes it a safer option in scenarios where genome stability is critical.”

RNA plays a central role in carrying genetic information from DNA to protein-synthesizing machinery, and also regulates gene expression and participates in numerous cellular processes. Defects in RNA splicing or mutations can lead to a wide variety of diseases, ranging from metabolic disorders to cancer. A point mutation occurs when a single nucleotide is erroneously inserted, deleted, or changed. CRISPR–Cas13 plays a role in identifying and correcting these mutations by employing REPAIR (RNA editing for programmable A-to-I replacement) and RESCUE (RNA editing for specific C-to-U exchange) mechanisms. Explaining the applications of Cas13-based gene editors, Prof. Yao adds, “The mxABE editor, for example, can be used to correct a nonsense mutation linked with Duchenne muscular dystrophy that can be corrected with mxABE. This approach has proved high editing efficiency, restoring dystrophin expression to levels more than 50% of those of the wild type.”

Hierarchical assemblies of ferroelectric nanodomains, so-called super-domains, can exhibit exotic morphologies that lead to distinct behaviours. Controlling these super-domains reliably is critical for realizing states with desired functional properties.


A biased atomic force microscopy tip can write complex in-plane polar topologies in a model ferroelectric Pb0.6Sr0.4TiO3 by means of a smart scan path design. Hence, on-demand generation, reading and erasing of tunable topologies is possible.