Page 14: Research news on Biomolecular & subcellular processes

Biomolecular and subcellular processes constitute a research area focused on the molecular mechanisms and dynamic interactions that underlie cellular function, organization, and regulation at nanometer to micrometer scales. It encompasses studies of protein folding and trafficking, nucleic acid structure and metabolism, signal transduction, membrane transport, organelle biogenesis, cytoskeletal dynamics, and macromolecular complex assembly. This field integrates biochemical, biophysical, structural, imaging, and computational approaches to quantify reaction kinetics, spatial organization, and emergent behaviors within cells, aiming to relate molecular-level events to higher-order cellular phenotypes, robustness, and dysfunction in contexts such as development, stress responses, and disease.

Magnetic microbots steer quantum sensors inside living cells

Cells are squishy and soft. Tiny nanometer-sized particles such as quantum sensors cannot move freely inside them due to viscous drag, which makes sensing challenging. Researchers at the Indian Institute of Science (IISc) ...

New findings on the first steps in protein synthesis

In the earliest phase of creating human proteins, the protein complex NAC performs an essential task by starting the first steps toward folding proteins into their correct three-dimensional structures. An international research ...

Measuring irreversibility in gene transcription

Living cells are fundamentally nonequilibrium systems, meaning they constantly spend energy through seemingly one-way, irreversible processes, such as transcribing DNA into RNA, to keep life going. But how that irreversibility ...

How DICER cuts microRNAs with single-nucleotide precision

A research team from The Hong Kong University of Science and Technology (HKUST) has made an advance in understanding the molecular machinery of RNA silencing. The team uncovered how the human enzyme DICER achieves highly ...

Predicting RNA activity expands therapeutic possibilities

With AI, it's now possible for researchers to predict the three-dimensional structures of proteins directly from their amino-acid sequences. But what biologists really want to predict, says Columbia biophysicist Hashim Al-Hashimi, ...

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