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Additional file 1 of TNFα secreted by glioma associated macrophages promotes endothelial activation and resistance against anti-angiogenic therapy

2021· article· en· W6920811431 on OpenAlexaff

Bibliographic record

VenueOpen MIND · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAngiogenesis and VEGF in Cancer
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsAngiogenesisUmbilical veinCell cultureCellGliomaU87Endothelial stem cellCell type

Abstract

fetched live from OpenAlex

Additional file 1. Figure S1. RT-PCR angiogenesis array Human umbilical vein cells (HUVEC) were incubated with media alone (EBM) or conditioned medium (CM) from RAW264.7 macrophages stimulated with normal human astrocytes (Mφ-NHA) or GBM cell lines U87, U118, U251, A172 (Mφ-U87, Mφ-U118, Mφ-U251, Mφ-A172). mRNA was extracted and analyzed by an RT-PCR angiogenesis array. Results were normalized to RPL30 and ACTB. The relative quantity of significantly altered genes (> 2-fold relative to Mφ-NHA or Mφ-NSC) are shown. n = 3, mean ± max/min, 95% confidence interval. Figure S2. Non-Glioma associated macrophages do not activate ECs Medium alone (EBM) or CM from normal human astrocytes (Mφ-NHA), GBM cell line (Mφ-U87), renal cell adenocarcinoma cell line (Mφ-786-O), human non-small cell carcinoma cell line (Mφ-H1299), transformed Schwanoma cell line (Mφ-Hei193) or osteosarcoma cell line (Mφ-U2OS) were analyzed by a multi-analyte inflammatory ELISA array. Only the U87 GBM cell line induces upregulation of VCAM1, ICAM1, CXCL5 and CXCL10. n = 3, mean ± max/min, 95% confidence interval. *p < 0.05. Figure S3. RT-PCR angiogenesis array Human cerebral ECs (hCMEC/D3) were incubated with media alone (EBM) or conditioned medium (CM) from RAW264.7 macrophages stimulated with normal human astrocytes (Mφ-NHA) or GBM cell lines U87 (Mφ-U87). mRNA was extracted and analyzed by an RT-PCR angiogenesis array. Results were normalized to RPL30 and ACTB. The relative quantity of significantly altered genes are shown. n = 3, mean ± max/min, 95% confidence interval. Figure S4. VEGF RT-PCR assay Human umbilical vein cells (HUVEC) were incubated with media alone (EBM) or conditioned medium (CM) from RAW264.7 macrophages stimulated with normal mouse astrocytes (Mφ-NMA) or GL-261 cell lines (Mφ-GL261). mRNA was extracted and analyzed by an RT-PCR with VEGF gene. Results were normalized to RPL30 and ACTB. The relative quantity of VEGF is shown (n=3, mean ± max/min, 95% confidence interval). Figure S5. Expression of alpha 4 integrin in tumor microenvironment and on cells a) IHC with alpha 4 integrin has been performed on tumor sections from GL261 syngeneic mouse model treated with vehicle control or TNFα inhibitor, MP6-XT22. b) Flow cytometry analysis todetermine the expression of alpha 4 integrin on Raw264.7 cells and U973 cells as a positive control. Anti-Integrin alpha 4/CD49D antibody (ab202969) was diluted in 1:100 for both IHC and Flow cytometry. Alexa 488 donkey anti-rabbit secondary antibody (A32790) was diluted in 1:1000.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.902
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.030
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0010.000
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.9020.176

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 head0.014
GPT teacher head0.259
Teacher spread0.244 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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