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A Chemical Genetic Screen Identified Small Molecules Modulating Zebrafish Vascular Development and Angiogenesis.

2007· article· en· W2554733259 on OpenAlexaff
Rui Xue, Armand Keating, Youdong Wang, Duncan Stewart, Xiao‐Yan Wen

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicZebrafish Biomedical Research Applications
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
Fundersnot available
KeywordsZebrafishAngiogenesisBiologyGenetic screenGreen fluorescent proteinCell biologyEmbryoMolecular biologyBiochemistryGeneticsGene

Abstract

fetched live from OpenAlex

Abstract The zebrafish has emerged as an important model for studying vascular development and angiogenesis. Advantages over other models include rapid embryonic development and optical clarity of the embryos. Abnormal angiogenesis is linked to over 70 health conditions and inhibition of angiogenesis is an excellent target for cancer therapy (including hematopoietic malignancies) as tumor growth requires new blood vessels. In this study, we performed a chemical genetic screen in developing zebrafish embryos to identify compounds that modulate zebrafish vascular development and angiogenesis. A zebrafish transgenic line with the Flk1 promoter controlling the GFP (green fluorescent protein) reporter was used. The entire vascular network of the Flk1:GFP fish was marked by GFP and could be visualized under fluorescence microscopy. Screens were performed in 96 well plates with three embryos/well. The outer membranes of healthy zebrafish embryos expressing green fluorescent vasculature were removed by enzymatic digestion with protease at the 16–18 somite stages. Small molecules/compounds were then added to the water at concentrations of 0.1 μM, 1 μM, and 5 μM for 72 hrs. After 24, 48 and 72 hrs of exposure to the compound, the embryos were visually inspected for viability, gross morphological defects, heartbeating rate and circulation. The known angiogenic inhibitor, PD173074 was used as control. An initial screening of 780 compounds in a small molecule compound library identified four small molecules with potent activities in inhibiting zebrafish vascular development. Notably, 1–5 μM of Hit #1 inhibited the growth of cranial vessels and disrupted vascular patterning, which resulted in uneven spacing between intersegmental vessels. While Hit #2 and #5 also inhibited the growth of cranial vessels, the vascular patterning remained unaffected, however, the drug-treated embryos had weak or missing intersegmental vessels. Fish embryos treated by Hit #3 had an enlarged heart and thinner vessels. Interestingly, this screen also identified one compound (Hit #4) with pro-angiogenic activity. Embryos treated with Hit #4 had increased numbers of intersegmental vessels. Hit #2 is a known inhibitor of c-Jun N-terminal kinase and angiogenesis (SP600125), was recently reported to inhibit the proliferation and migration of human endothelial cells in vitro as well as inhibit solid tumor growth in mice. This observation lends validity to the zebrafish screen and the potential utility of the other hits. Experiments are currently in progress to investigate the detailed time course of the angiogenic inhibition and the potential molecular mechanism. Studies of these angiogenic inhibitors may lead to the development of potent anti-cancer drugs while the pro-angiogenic compound may prove useful in facilitating tissue/organ regeneration. We conclude that the zebrafish model is likely to yield valuable information regarding vasculogenesis and its manipulation.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.248
Teacher spread0.235 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2007
Admission routes1
Has abstractyes

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