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Record W2370561145

[*OPCML gene transferred by recombinant lentiviruses in vitro and its inhibition to ovarian cancer cells].

2006· article· en· W2370561145 on OpenAlexaff
Desheng Yao, Li Li, Kenneth Garson, Barbara C. Vanderhyden

Bibliographic record

VenuePubMed · 2006
Typearticle
Languageen
Field
Topic
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMolecular biologyBiologyCell cultureFlow cytometryViral vectorTransfectionHEK 293 cellsCell growthTransduction (biophysics)LentivirusComplementary DNAVirologyRecombinant DNAGeneVirusGenetics
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To study the inhibition of OPCML on ovarian cancer cell lines using a lentiviral vector system for efficient gene transduction. METHODS: The murine OPCML cDNA was amplified by PCR from CD1 murine brain cDNA using gene specific primers, and subcloned into the lentiviral vector, pWPI-GFP, to generate the lentiviral expression vector, pWPI-OPCML. Recombinant lentiviruses were produced by 293T cells following the co-transfection of pWPI-OPCML, with the packaging plasmids pCMV-dR8.74 and pMDG. The resulting recombinant lentiviruses which carried OPCML or control viruses (only carrying GFP), were then used to infect the human ovarian cancer cell lines A2780 and OCC1 in addition to normal CD1 mouse ovarian surface epithelial cells. The infected cells were then characterized by cell proliferation assays, cell aggregation assays, cell cycle analysis by flow cytometry and tumorigenicity assays following injection into nude mice. RESULTS: (1) The efficiency of infection of the cell lines using the lentiviral vectors was almost 100% allowing the stable expression of OPCML in nearly all cells. Stable expression of OPCML (60 000) and GFP (27 000) proteins was confirmed by western blot analysis. (2) A2780 cells expressing OPCML [(7.6 +/- 1.0) x 10(5)] grew slowly compared to A2780 parental [(20.0 +/- 2.6) x 10(5)] or control virus infected cells [(18.1 +/- 1.7) x 10(5), P < 0.01], but the expression of OPCML had no effect on the proliferation rates of OCC1 and the normal CD1 cells when compared to their respective parental or controls (P > 0.05). (3) Flow cytometry based cell cycle assays showed that the expression of OPCML could arrest A2780 cells (G(0) approximately G(1) 67% vs 75%, P < 0.05); but not OCC1, CD1 cells. (4) The rate of aggregation of single cell suspensions was measured and found to be increased in all cell lines expressing OPCML indicating the increased cell surface adhesion mediated by OPCML. (5) A2780 cells expressing OPCML only formed a single tumor in 1/4 mice (10 mg) which was significantly smaller than controls [4/4; A2780 (280 +/- 53) mg and A2780/pWPI (677 +/- 323) mg; P < 0.01]. Expression of OPCML in tumor was confirmed by immunohistochemistry. CONCLUSIONS: The use of lentiviral vectors allowed the efficient expression of OPCML in nearly 100% of target cells. Expression of the OPCML cDNA resulted in an increase of cell adhesion in all cell lines tested, and decreased the proliferation and tumorigenicity of the A2780 ovarian cancer cell line. This indicates that the OPCML may be a new tumor suppressor gene.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.020
GPT teacher head0.215
Teacher spread0.196 · 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".

Quick stats

Citations2
Published2006
Admission routes1
Has abstractyes

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