Morphological heterogeneity of human astrocytes in cerebral organoids
Bibliographic record
Abstract
Abstract Astrocytes are a type of glial cell in the central nervous system responsible for modulating synaptic transmissions, tissue repair, maintaining homeostasis, and are therefore implicated in many neurological diseases. Human cortical astrocytes are more structurally complex, larger, and have unique subtypes in comparison to the commonly studied rodent cortical astrocytes. As access to human cortical tissue is sparse, cerebral organoids (COs) derived from human pluripotent stem cells have emerged as a promising in vitro model for studying the human cortex. Astrocyte subtypes unique to humans are recapitulated in COs but have not been quantitatively assessed (1, 2). In this study, we characterized human astrocytes in situ in sliced COs cultured at the air-liquid interface (ALI-COs). By 4 months of age, ALI-COs express many mature astrocyte markers and showed increasing levels of glial fibrillary acidic protein (GFAP) with longer culture durations. By employing immunostaining, tissue clearing, morphological reconstruction, and unsupervised clustering analysis, three major GFAP+ astrocyte subtypes were identified in ALI-COs. All subtypes exhibited greater morphological complexity than their mouse counterparts, as revealed by increased branching and longer branch extensions. However, consistent with the mid-gestation fetal stage of the ALI-COs, astrocytes did not fully recapitulate the complexity observed in adult human astrocytes, which are known to continue maturation postnatally.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".