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Record W6902076072 · doi:10.6084/m9.figshare.17982578

Additional file 3 of MicroRNA-210 regulates the metabolic and inflammatory status of primary human astrocytes

2022· article· en· W6902076072 on OpenAlexaff

Bibliographic record

VenueFigshare · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsMcGill University Health CentreQueen's UniversityMcGill University
Fundersnot available
KeywordsGlial fibrillary acidic proteinMicrogliaAstrocyteDownregulation and upregulationHuman brainPrimary cellIn vitroS100A9Myelin basic protein

Abstract

fetched live from OpenAlex

Additional file 3: Figure S2. Primary human fetal astrocytes respond to in vitro stresses, and mice upregulate miR-210 around ischemic lesions. (A) Primary human astrocytes, oligodendrocytes, and microglia were separately cultured and analyzed for expression of canonically expressed genes of glial fibrillary acidic protein (GFAP), myelin basic protein (MBP) and ionized calcium binding adaptor molecule 1 (IBA1) by RT-qPCR. n = 3–4. (B) Primary human fetal astrocytes were immunostained with anti-GFAP, anti-O4, and anti-PU.1 antibodies. A CX7 automated microscope was used to quantify the percent positive astrocytes for each marker, n = 4. (C) Primary human astrocytes were treated in inflammatory (“I”) metabolic (“M”) or hypoxic (“H”) stress conditions induced by IL1b, glucose-free media, or a 1% oxygen chamber for 24 h compared to untreated control. RT-qPCR assessment of CXCL10, HMOX1, and MCT4 expression was measured to confirm the astrocytic response to inflammatory, metabolic, and hypoxic stress conditions, respectively, n = 4–6. (D) HeLa cells were left in normoxic (“N”) conditions for 48 h or were treated in 1% O2 (hypoxia, H) for the noted time. After 2–48 h, the cells were removed and were immediately lysed with RIPA buffer for subsequent Western blot. n = 3. (E) Graphical representation of the area investigated for miR-210 expression using miRscope. miR-210 was quantified in the highlighted region around the infarct site (left), and in the respectively highlighted region on the contralateral side of the brain (right). 300–500 cells were counted per brain section. (F) Representative images and quantification of microRNAscope (miRscope) of miR-210 around MCAO lesions (labeled as infarct) or on the contralateral side of the brain (labeled as control). Scale bar = 20 µm. Quantification was performed by manual counting of the number of nuclei positive for one or more red puncta. Red dots show miR-210 expression, and DAPI (blue) was used as a counterstain. Each dot in image F represents a separate tissue section all derived from one mouse, resulting in five sections imaged per brain region.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.884
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.030
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0020.000
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.8840.193

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.

Opus teacher head0.032
GPT teacher head0.227
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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