Cells are essential to understanding health and disease, yet traditional models fall short of modeling and simulating their function and behavior. Advances in AI and omics offer groundbreaking opportunities to create an AI virtual cell (AIVC), a multi-scale, multi-modal large-neural-network-based model that can represent and simulate the behavior of molecules, cells, and tissues across diverse states

Download: Download high-res image (172KB) Download: Download full-size image Keiji Tanaka (photo courtesy of the Japanese Biochemical Society)

(Cell 186, 5606–5619.e1–e24; December 7, 2023)

Molecular biology aims to understand the details of life by focusing closely on biopolymers—DNAs, RNAs, and proteins—and how they interact with one another. Advances in this field have enabled dazzling achievements in virtually all areas of biological, biomedical, and clinical sciences. As we draw near to the conclusion of Cell’s 50th anniversary, we celebrate the wonders of molecular biology and look

Recombinant DNA technology has profoundly advanced virtually every aspect of biological and medical sciences, from basic research to biotechnology. Here, I discuss conceptual connections linking fundamental discoveries that were enabled by the technology, advances in the understanding of gene regulation in both prokaryotes and eukaryotes, and the recent FDA-approved CRISPR-based gene therapy for sickle

In this essay, I will put forth what I see as a major conceptual challenge for biology in the next decade, one that is inspired by Crick’s Central Dogma: understanding information flow in the cell in the most general sense.

Every cell must solve the problem of how to fold its genome. We describe how the folded state of chromosomes is the result of the combined activity of multiple conserved mechanisms. Homotypic affinity-driven interactions lead to spatial partitioning of active and inactive loci. Molecular motors fold chromosomes through loop extrusion. Topological features such as supercoiling and entanglements contribute

Since the introduction of the central dogma of molecular biology in 1958, various RNA species have been discovered. Messenger RNAs transmit genetic instructions from DNA to make proteins, a process facilitated by housekeeping non-coding RNAs (ncRNAs) such as small nuclear RNAs (snRNAs), ribosomal RNAs (rRNAs), and transfer RNAs (tRNAs). Over the past four decades, a wide array of regulatory ncRNAs

The ribosome, together with its tRNA substrates, links genotype to phenotype by translating the genetic information carried by mRNA into protein. During the past half-century, the structure and mechanisms of action of the ribosome have emerged from mystery and confusion. It is now evident that the ribosome is an ancient RNA-based molecular machine of staggering structural complexity and that it is

The identification of individual protein-protein interactions (PPIs) began more than 40 years ago, using protein affinity chromatography and antibody co-immunoprecipitation. As new technologies emerged, analysis of PPIs increased to a genome-wide scale with the introduction of intracellular tagging methods, affinity purification (AP) followed by mass spectrometry (MS), and co-fractionation MS (CF-MS)

In a recently published article in Nature, Bayly-Jones et al. report the cryo-EM structures of a lysosomal cholesterol sensor, LYCHOS, also known as GPR155, which reveals a unique fusion of a plant auxin-transporter-like domain with a seven-transmembrane GPCR-like domain and elucidates mechanistic insights into cellular regulation of mTORC1 activity.

Targeted protein degradation strategies leverage endogenous cellular degradation machinery to selectively eliminate a protein of interest. Emerging technologies are opening avenues in drug discovery and functional characterization of intracellular, membrane, and extracellular proteins. To view this SnapShot, open or download the PDF.