Cell biology is the study of life at its most fundamental unit: the cell. This field explores how these microscopic building blocks function, communicate, and replicate to sustain living organisms, from the simplest bacteria to complex human tissues. By understanding the machinery inside a cell, scientists unlock secrets about growth, disease, and the very nature of existence itself.

At Gist.Science, we track every new preprint uploaded to bioRxiv within this dynamic category. Our team processes each submission to provide both accessible plain-language explanations and detailed technical summaries, ensuring you can grasp complex discoveries without getting lost in dense jargon. Below are the latest papers in cell biology, offering a fresh look at the inner workings of life as they are shared with the world.

📄 cell biology

A human lysosomal storage disorder toolkit for decoding proteome landscapes in cortical and dopaminergic-like induced neurons

This study presents a human embryonic stem cell toolkit lacking 23 lysosomal storage disorder genes, coupled with multi-omics analyses and cryo-electron tomography, to define distinct proteomic signatures, mitochondrial vulnerabilities, and synaptic defects in cortical and dopaminergic neurons.

Kraus, F., He, Y., Jiang, Y., Li, D., Ambaw, Y. A., Gasparoli, F. M., Paulo, J. A., Walther, T. C., Farese, R., Gygi, S. (…)2026-03-23
📄 cell biology

Activation of the protective arm of renin-angiotensin system enhances mitochondrial turnover improving respiration and decreasing integrated stress response in a human Complex III deficiency model.

The study demonstrates that CAP-1902, a novel MasR agonist, acts as a mitophagy inducer that enhances mitochondrial turnover by activating the AMPK/ULK1/FUNDC1 pathway and stimulating biogenesis, thereby rescuing bioenergetic defects and reducing the integrated stress response in human fibroblasts with Complex III deficiency.

Fernandez-Del-Rio, L., Eastes, A., Rincon Fernandez-Pacheco, D., Scillitani, N., Garza, J., Dugan, M., Pinto de Oliveira (…)2026-03-23
📄 cell biology

Nucleus confinement within concave microcavities modulates nuclear morphology, subnuclear dynamics and mechanotransduction in human osteosarcoma cells

This study demonstrates that nucleus-scale concave microcavities, which mimic the bone microenvironment, induce adaptive nuclear rounding, chromatin compaction, and selective YAP/TAZ-mediated mechanotransduction in human osteosarcoma cells without triggering inflammatory or apoptotic pathways.

Tahmaz, I., Borghi, F. F., Milan, J. L., Kunemann, P., Petithory, T., Bendimerad, M., Luchnikov, V., Anselme, K., Pieuch (…)2026-03-23
📄 cell biology

A NAPE-LRRK2 metabolic axis controls lysosomal homeostasis in Parkinson's disease

This study identifies N-acylphosphatidylethanolamines (NAPEs) as endogenous regulators that inhibit LRRK2 kinase activity to restore lysosomal homeostasis and clear alpha-synuclein aggregates, revealing a promising metabolic axis for Parkinson's disease therapeutics.

Palese, F., Giachino, C., Syan, S., Ottonello, G., Sciandrone, G., Filipponi, C., Lai, M., Armirotti, A., Deleidi, M., Z (…)2026-03-21
📄 cell biology

Translational lipidomics reveals BMP and its precursor LPG as biomarkers for CLN5 Batten disease

This study identifies the depletion of bis(monoacylglycero)phosphate (BMP) and the accumulation of its precursor lysophosphatidylglycerol (LPG) as universal, clinically accessible biomarkers for CLN5 Batten disease, confirming CLN5's role as the essential lysosomal BMP synthase and enabling early diagnosis and patient screening via plasma and dried blood spots.

Rawat, E. S., Manfred, N., Alsohybe, H. N., Dong, W., Pena, I. V., Idris, M., Posern, C., Westermann, L. M., Murray, S. (…)2026-03-21
📄 cell biology

SCALE: Scalable Conditional Atlas-Level Endpoint transport for virtual cell perturbation prediction

The paper introduces SCALE, a scalable foundation model for virtual cell perturbation prediction that integrates a high-throughput BioNeMo framework, a stable conditional transport architecture with LLaMA-based encoding, and biologically faithful evaluation metrics to overcome existing bottlenecks in efficiency, stability, and biological fidelity.

Chen, S., Yu, L., Jin, K., Zhang, S., Wu, H., Xu, S., Qian, Q., Chen, Q., Bai, L., Sun, S., Gao, Z.2026-03-20