Revisiting Stress Granule Transcriptomes Suggests Mitochondrial RNA Enrichment Despite Methodological Bias
- 1Gulbenkian Institute for Molecular Medicine
Abstract
Stress granules (SGs) are dynamic, membraneless cytoplasmic condensates that form in response to diverse cellular stressors. Although proposed to modulate stress responses by selectively sequestering proteins and RNAs, their precise molecular composition and function remain unclear. Reported SG transcriptomes differ substantially due to methodological discrepancies, notably between differential centrifugation (DC) and proximity labeling (PL). Here, we reanalyse publicly available human SG transcriptomes across multiple stressors, cell types, and isolation strategies. DC-based profiles were strongly shaped by RNA length, consistent with a physical bias inherent to the sedimentation-based separation. Correcting for this effect reveals limited concordance between studies. Mitochondrially encoded RNAs nonetheless consistently stand out as a distinctively regulated transcript class, without a uniform direction of enrichment/depletion across datasets, and with a modest but significant enrichment in our consensus SG signature. Immunofluorescence experiments further support, without definitively demonstrating, sequestration of mitochondrial dsRNA by SGs upon stress. Since leakage of mitochondrial nucleic acids is a well-characterised damage-associated molecular pattern linked to inflammation, their sequestration in SGs suggests a potential role in modulating immune-related stress responses. These findings refine our understanding of SG composition, underscore the need to control for technical artifacts in SG isolation, and provide a framework to distinguish genuine biological signals from methodological noise in SG research.
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BibTeX
@misc{kaizeler2026revisiting,
title = {{Revisiting Stress Granule Transcriptomes Suggests Mitochondrial RNA Enrichment Despite Methodological Bias}},
author = {A. Kaizeler and D. Coutinho and D. V. Vieira and V. A. Morais and N. L. Barbosa-Morais},
howpublished = {bioRxiv},
year = {2026},
month = sep,
doi = {10.64898/2026.09.08.749846},
url = {https://www.biorxiv.org/content/10.64898/2026.09.08.749846v1},
note = {CC BY-NC-ND},
}
RIS
TY - UNPB
TI - Revisiting Stress Granule Transcriptomes Suggests Mitochondrial RNA Enrichment Despite Methodological Bias
AU - A. Kaizeler
AU - D. Coutinho
AU - D. V. Vieira
AU - V. A. Morais
AU - N. L. Barbosa-Morais
PY - 2026
DA - 2026/09/08
PB - bioRxiv
DO - 10.64898/2026.09.08.749846
UR - https://www.biorxiv.org/content/10.64898/2026.09.08.749846v1
AB - Stress granules (SGs) are dynamic, membraneless cytoplasmic condensates that form in response to diverse cellular stressors. Although proposed to modulate stress responses by selectively sequestering proteins and RNAs, their precise molecular composition and function remain unclear. Reported SG transcriptomes differ substantially due to methodological discrepancies, notably between differential centrifugation (DC) and proximity labeling (PL). Here, we reanalyse publicly available human SG transcriptomes across multiple stressors, cell types, and isolation strategies. DC-based profiles were strongly shaped by RNA length, consistent with a physical bias inherent to the sedimentation-based separation. Correcting for this effect reveals limited concordance between studies. Mitochondrially encoded RNAs nonetheless consistently stand out as a distinctively regulated transcript class, without a uniform direction of enrichment/depletion across datasets, and with a modest but significant enrichment in our consensus SG signature. Immunofluorescence experiments further support, without definitively demonstrating, sequestration of mitochondrial dsRNA by SGs upon stress. Since leakage of mitochondrial nucleic acids is a well-characterised damage-associated molecular pattern linked to inflammation, their sequestration in SGs suggests a potential role in modulating immune-related stress responses. These findings refine our understanding of SG composition, underscore the need to control for technical artifacts in SG isolation, and provide a framework to distinguish genuine biological signals from methodological noise in SG research.
ER -