New CRISPR system for Gene Silencing Doesn’t Rely on Cutting DNA

Scientists from Vilnius University’s (VU) Life Sciences Center (LSC) have discovered a unique way for cells to silence specific genes without cutting DNA. This research, led by Prof. Patrick Pausch and published in the journal Nature Communications, reveals a new way to silence genes that is akin to pressing a “pause” button on certain genetic instructions within cells.

The research team, including doctoral student Rimvydė Čepaitė, Dr. Aistė Skorupskaitė, undergraduate Gintarė Žvejyte and Prof. Pausch at Vilnius University, working alongside an international team, uncovered how cells use a specific system to locate and silence unwanted DNA. This system, which could eventually enable safer gene modifications, shows promise for repairing faulty genes that cause diseases.

“U...

Read More

Memories are Not Only in the Brain, Human Cell study finds

An NYU researcher administers chemical signals to non-neural cells grown in a culture plate. Photo credit: Nikolay Kukushkin.

It’s common knowledge that our brains—and, specifically, our brain cells—store memories. But a team of scientists has discovered that cells from other parts of the body also perform a memory function, opening new pathways for understanding how memory works and creating the potential to Enhance Learning and to Treat Memory-related Afflictions.

“Learning and memory are generally associated with brains and brain cells alone, but our study shows that other cells in the body can learn and form memories, too,” explains New York University’s Nikolay V. Kukushkin, the lead author of the study, which appears in the journal Nature Communications.

The research so...

Read More

Creating AI that’s Fair and Accurate: Framework moves Beyond Binary Decisions to offer a more Nuanced Approach

AI that's fair and accurate
Credit: MIT CSAIL

Two of the trickiest qualities to balance in the world of machine learning are fairness and accuracy. Algorithms optimized for accuracy may unintentionally perpetuate bias against specific groups, while those prioritizing fairness may compromise accuracy by misclassifying some data points.

With this challenge in mind, a team from CSAIL has taken the lead in devising a framework that enables a more nuanced approach to balancing these qualities.

Instead of forcing a binary decision in labeling all data points as “good” or “bad,” their framework uses their Reject Option Classification (ROC) algorithm which assigns a third category of “rejected samples,” allowing it to identify instances where the model might be less certain or where predictions could potentially le...

Read More

Mining Old Data from NASA’s Voyager 2 Solves Several Uranus Mysteries

When NASA’s Voyager 2 spacecraft flew by Uranus in 1986, it provided scientists’ first—and, so far, only—close glimpse of this strange, sideways-rotating outer planet. Alongside the discovery of new moons and rings, baffling new mysteries confronted scientists. The energized particles around the planet defied their understanding of how magnetic fields work to trap particle radiation, and Uranus earned a reputation as an outlier in our solar system.

Now, new research analyzing the data collected during that flyby 38 years ago has found that the source of that particular mystery is a cosmic coincidence...

Read More