Articles tagged with Cellular Noise
Researchers propose a novel computational method to quantify information flow in biological systems, enabling accurate analysis without measuring input signals. The method, using a dual reporter system, accurately analyzed information flow leading to bacterial motor output in response to chemical signals.
New research from the Stowers Institute for Medical Research reveals planarian stem cells ignore their nearest neighbors and respond to signals further away in the body. This discovery may help explain the flatworm's extraordinary ability to regenerate and offer clues for developing new ways to replace or repair tissues in humans.
Circadian clocks demonstrate advanced noise-filtering capabilities, adapting to environmental fluctuations while maintaining accuracy. The study highlights the remarkable ability of biological clocks to selectively filter meaningful environmental cues.
A new computational approach removes movement in heart cell and tissue images, allowing direct monitoring of electro-mechanical coupling. The algorithm mimics a drug's action, giving insight into heart diseases.
University of Texas at Dallas researchers have identified the source of fluctuations in gene expression between identical cells, finding that transcription is the primary driver of cellular noise. This discovery has significant implications for developing targeted therapies and gene therapies.