Cells pulse together as they grow — and malignant cells pulse the longest
MIT researchers discovered a cellular dance that may offer clues to the development of cancer, asthma, and other diseases.
MIT researchers discovered a cellular dance that may offer clues to the development of cancer, asthma, and other diseases.
Gently stretching and pulling a “blood vessel on a chip” encourages controlled sprouting of new vessels, for possible use in artificial tissues or organs.
Brain cells take in many signals through thousands of circuit connections. A new study discerns the rules that turn inputs into a functional arrangement for neurons that process vision.
Researchers can now use custom-built microscopy and nanotechnology to tag and follow the activity of individual proteins in real-time.
Using advanced human cell cultures, MIT researchers tracked how two different mutations alter neural circuit development, and how each could be addressed with distinct potential therapeutics.
By monitoring these chromosomal structures over many timescales, MIT researchers found that chromatin helps bring genes closer to their regulatory elements.
Long thought to be mainly a structural support, the cell membrane also influences how cells respond to signals and may contribute to the growth of cancer cells.
SNIPE, a newly characterized biological defense system, directly protects bacteria by chopping up invading viral DNA.
Researchers uncovered how cells selectively destroy certain microRNAs — key gene regulators — through a mechanism that requires two RNA signals working together.
The method allows researchers to observe biomolecular complexes in a quick, accurate, and budget-friendly way, providing new insights into bacterial protein synthesis.
New work suggests the brain can deliver neuron-specific feedback during learning — resembling the error signals that drive machine learning.
Eliezer Calo’s studies of craniofacial malformations have yielded insight into protein synthesis and embryonic development.
Research reveals how cells may activate a compensation system that can reduce the effects of harmful genetic mutations. This could inform gene therapy development.
By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.
Researchers uncover a hidden mechanism that allows cancer to develop aggressive mutations.