bioRxivNeurosciencePreprint
Dissecting Reactive Astrocyte Responses: Lineage Tracing and Morphology-based Clustering
Lina Maria Delgado‐GarcíaiD, Ana Cristina Ojalvo‐SanziD, Thabatta Karollynne Estevam NakamuraiD, Eduardo Martín-LópeziD, Marimelia Aparecida PorcionattoiD, Laura López‐MascaraqueiD
Abstract
O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/587565v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@1899db6org.highwire.dtl.DTLVardef@1d152fcorg.highwire.dtl.DTLVardef@19f4754org.highwire.dtl.DTLVardef@3f853_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical AbstractC_FLOATNO C_FIG Brain damage triggers diverse cellular and molecular events, with astrocytes playing a crucial role in activating local neuroprotective and reparative signaling within damaged neuronal circuits. Here, we investigated reactive astrocytes using a multidimensional approach to categorize their responses into different subtypes based on morphology using the StarTrack lineage tracer, single-cell imaging reconstruction and multivariate data analysis. Our findings revealed three profiles of reactive astrocyte responses affecting cell size- and shape-related morphological parameters: "moderate," "strong," and "very strong". We also explored the heterogeneity in astrocyte reactivity, with a particular emphasis in the spatial and clonal distribution. Our research highlights the importance of the relationships between the different astrocyte subpopulations with their reactive responses, showing an enrichment of protoplasmic and fibrous astrocytes within the "strong" and "very strong" subtypes. Overall, our study contributes to a better understanding of astrocyte heterogeneity in response to an injury. By elucidating the diverse reactive responses among astrocyte subpopulations, we pave the way for future research aimed at uncovering novel therapeutic targets for mitigating the effects of brain damage and promoting neural repair.
- organism: mouse
- assay: spatial transcriptomics
- research focus: clustering
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 1
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Region-specific homeostatic identity of astrocytes is essential for defining their reactive phenotypes following pathological insults
Natallia Makarava, Olga Mychko, … Ilia V. Baskakov·bioRxiv·Feb 1, 2023
- Temporal and spatial analysis of astrocytes following stroke identifies novel drivers of reactivity
Rachel D. Kim, Anne E Marchildon, … Shane Antony Liddelow·bioRxiv·Nov 12, 2023
- Generation of morphologically distinct astrocyte subtypes from human iPSCs reveals a link between glial shape, function and reactivity
Kelly O’Toole, Ludovica Guetta, … Andrea Serio·bioRxiv·Nov 11, 2024
- Whole-Brain, Region-Specific Astrocyte Reactivity and Morphological Remodeling After Diffuse Traumatic Brain Injury in A Gyrencephalic Ferret Model
Amirhossein Bagherian, Camila Perez, … Marzieh Hajiaghamemar·bioRxiv·Jul 21, 2026
- Regional Microglial Response in Enthorino-hippocampal Slice Cultures to Schaffer Collateral Lesion and Metalloproteinases Modulation.
Assunta Virtuoso, Christos Galanis, … Andreas Vlachos·bioRxiv·Jan 10, 2024
- Astrocyte subdomains respond independently in vivo
Monica A López-Hidalgo, Vered Kellner, James Schummers·bioRxiv·Jun 20, 2019