Biology subjects

Mikolaj, M. R.

Publications and source records attributed to Mikolaj, M. R..

4 recordsLinked to original sources

bioRxiv2026

Large-scale endoplasmic reticulum membrane solidification spatially organizes proteins under thermal or metabolic stress

Organelle homeostasis is a key determinant of cellular fitness, yet how cells remodel their membranes in response to environmental change remains unclear. Here, we identify a temperature- and lipid saturation-dependent transformation of endoplasmic reticulum membranes into giant, rigid, multilamellar tubes in cells and in vivo. These rods emerge from demixing of saturated lipids into solid-like domains - a previously unrecognised, large-scale endomembrane phase behaviour, fundamentally distinct from the transient liquid-ordered nanodomains of the plasma membrane. ER-tubulating reticulon-homology proteins are excluded from rods; their segregation drives progressive membrane flattening and ultimately multilayered wrapping. Surfactant-producing alveolar type-II lung cells, enriched in saturated lipids, form rods even at 37{degrees}C, demonstrating that native lipid metabolism can induce this transformation. This spatially organizing lipid-protein domain interplay may tune the ER tubule/sheet balance and provide a homeoviscous mechanism to preserve fluidity in the cholesterol-poor ER under thermal or metabolic stress.

cell biology↗

bioRxiv2026

NucleoNet and DropNet: Generalist deep learning models for instance segmentation of nuclei and lipid droplets from electron microscopy images

Automating cellular organelle segmentation is key to increasing the throughput in electron microscopy (EM) and volume EM (vEM) workflows. Deep learning (DL) has accelerated this process, but model development has predominately centered on mitochondria, partly because of a scarcity of suitable training datasets for other features. Here, we crowdsourced the manual step of labeling nuclei and lipid droplets (LDs) from complex cellular EM images and trained Panoptic DeepLab (PDL) models on these large, heterogenous annotated datasets as well as on publicly available vEM datasets. NucleoNet and DropNet, the resulting instance segmentation models for nuclei and LDs, respectively, yield high-quality results on varied benchmarks. We applied these models to quantify differences between 2D and 3D in vitro cancer models versus in vivo tumors, highlighting a path toward robust quantitation in EM. NucleoNet and DropNet are publicly available on our napari plugin, empanada v1.2, for easy point-and-click segmentation of 2D and 3D cellular EM images.

cell biology↗

bioRxiv2025

Specialized gas-exchange endothelium of the zebrafish gill

The pulmonary vasculature plays a critical role in gas exchange and in lung pathologies, but it is challenging to observe and experimentally manipulate deep within the lungs of living mammals. Unlike mammalian lungs, externally located zebrafish gills are readily accessible for high-resolution optical imaging and experimental manipulation, suggesting zebrafish might provide an excellent comparative vertebrate model for studying the development and function of gas-exchange organs and the gas-exchange blood vasculature. To characterize their resident cell populations, we performed single-cell RNA sequencing (scRNAseq) on adult zebrafish gills, revealing numerous cell types with transcriptional similarities to those found in mammalian lungs. We uncovered and characterized several different endothelial cell populations, including distinct clusters of arterial endothelial cells and lymphatic endothelial cells. The largest endothelial cell cluster closely resembles Cap2 or "Aerocyte" endothelial cells, a recently discovered unusual mammalian endothelial cell type found exclusively in lung alveoli. Zebrafish aerocytes localize to the analogous gas-exchange structures in fish, the highly vascularized gill lamellae. We use confocal and super-resolution imaging of transgenic and hybridization chain reaction-probed zebrafish, array tomography, and focused ion beam scanning electron microscopy to carry out a detailed and comprehensive characterization of gill aerocytes including 3-D ultrastructural reconstruction of one of these cells, showing that as in mammals these cells are closely associated with gas-exchange epithelia and that they possess unique properties that may help facilitate their gas-exchange function. Together, our findings help establish a new, experimentally accessible comparative vertebrate model for studying the gas-exchange blood vasculature.

developmental biology↗

bioRxiv2025

A simple liquid 3D cell culture paradigm models oxidative mitochondrial metabolism of epithelial breast cancer cells with relevance for lung metastases.

Three-dimensional (3D) cell culture systems have emerged as powerful tools for modeling tumor biology in ex vivo settings. However, the diverse array of available 3D culture methods presents challenges in selecting the most appropriate model for specific research questions. This study provides a comparative analysis of breast cancer cells (SUM149, IBC-3, and MDA-MB-468) in the mammosphere culture (SphC) model or an "emboli" culture (EmC) model, which enrich for cancer stem cells and epithelial features, respectively. The EmC model, designed originally for inflammatory breast cancer, is characterized by media viscosity and mechanical rocking of the culture vessel. Notably, cells in EmC showed a distinct and durable reduction in cell proliferation ex vivo while demonstrating increased capacity to establish experimental lung metastases in vivo. Ultrastructural quantitative analysis of electron microscopy images suggested that cells in EmC acquire nuclear and mitochondrial features that resemble those of tumor tissue. Proteomics, single-cell transcriptomics, and metabolic flux analyses showed that cells in EmC and SphC favor mitochondrial oxidative metabolism (OXPHOS) and glycolysis, respectively. EmC rendered cells hypersensitive to OXPHOS inhibition, but more resistant to oxidative stress. Several genes associated with lung metastasis, including ID1, were specifically enriched in EmC. Given the emerging role of OXPHOS in cancer cell survival during dissemination and as established metastases, we propose that the EmC paradigm is a suitable ex vivo model to study signaling pathways relevant for tumor tissue and to assess drug sensitivities and resistance mechanisms of metastatic breast cancer cells ex vivo. SIGNIFICANCEThis study provides an in-depth characterization of a resource-efficient yet powerful 3D culture paradigm to improve the physiological relevance of ex vivo approaches. Applicable to epithelial cancers, this model offers a platform to accelerate the discovery of physiologically relevant signaling pathways and specific cancer cell vulnerabilities.

cancer biology↗