Global Analysis of Protrusion-trancsriptomes Identifies Distinct Categories of Localized Rnas in Non-neuronal Cells
Year: 2026
Type: preprint
Abstract: RNA localization to protrusions in non-neuronal cells is an emerging molecular process, distinct from the canonical mechanism characterized in neurons. Here, we describe a fractionation workflow optimized for non-neuronal cells that increases sensitivity and reproducibility of transcriptome-wide quantification of protrusion-localized RNAs. Using the optimized method, we identify six categories of protrusion-localized RNAs in non-neuronal cells from mice, including long non-coding RNAs and pseudogenes, and observe spatially distinct subsets of mitochondrially-localized RNAs. Taken together, our results reveal previously unappreciated spatial regulation of diverse transcripts and point toward broadly acting unifying principles that extend across cell types and species.
Language: English
Topic: RNA Research and Splicing
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: Acquisition of a Scalable Storage Cluster for Data Intensive NIH Research, Research Infrastructure: MRI: Acquisition of a Big Data HPC Cluster for Interdisciplinary Research and Training, MRI: Acquisition of a Big Data Compute Cluster for Interdisciplinary Research, Stem Cell Scholars: a workforce development pipeline, educating, training and engaging students from basic research to clinical translation., Regulation and function of subcellular RNA localization in neural crest cells and their derivatives
OpenAlex ID: W7213580009