Evidence map›Paper›PMID 33176770›Full record

ArticleBMC biotechnology2020

Comparative gene expression profiling of mouse ovaries upon stimulation with natural equine chorionic gonadotropin (N-eCG) and tethered recombinant-eCG (R-eCG).

Kwan-Sik Min, Jong-Ju Park, So-Yun Lee, Munkhzaya Byambaragchaa, Myung-Hwa Kang

Open access · goldAbstract read
In one paragraph

Article in BMC biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Kwan-Sik MinAnimal Biotechnology, Graduate School of Future Convergence Technology, Hankyong National University, Ansung, 17579, South Korea. ksmin@hknu.ac.kr.ORCID 0000-0002-5451-3085
Jong-Ju ParkAnimal Biotechnology, Graduate School of Future Convergence Technology, Hankyong National University, Ansung, 17579, South Korea.
So-Yun LeeAnimal Biotechnology, Graduate School of Future Convergence Technology, Hankyong National University, Ansung, 17579, South Korea.
Munkhzaya ByambaragchaaAnimal Biotechnology, Graduate School of Future Convergence Technology, Hankyong National University, Ansung, 17579, South Korea.
Myung-Hwa KangDepartment of Food Science and Nutrition, Hoseo University, Asan, 31499, South Korea.
Hankyong National University · KRHoseo University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEquine chorionic gonadotropin (eCG) induces super-ovulation in laboratory animals. Notwithstanding its extensive usage, limited information is available regarding the differences between the in vivo effects of natural eCG (N-eCG) and recombinant eCG (R-eCG). This study aimed to investigate the gene expression profiles of mouse ovaries upon stimulation with N-eCG and R-eCG produced from CHO-suspension (CHO-S) cells. R-eCG gene was constructed and transfected into CHO-S cells and quantified. Subsequently, we determined the metabolic clearance rate (MCR) of N-eCG and R-eCG up to 24 h after intravenous administration through the mice tail vein and identified differentially expressed genes in both ovarian tissues, via quantitative real-time PCR (qRT-PCR) and immunohistochemistry (IHC).

resultsR-eCG was markedly expressed initially after transfection and maintained until recovery on day 9. Glycan chains were substantially modified in R-eCG protein produced from CHO-S cells and eliminated through PNGase F treatment. The MCR was higher for R-eCG than for N-eCG, and no significant difference was observed after 60 min. Notwithstanding their low concentrations, R-eCG and N-eCG were detected in the blood at 24 h post-injection. Microarray analysis of ovarian tissue revealed that 20 of 12,816 genes assessed therein were significantly up-regulated and 43 genes were down-regulated by > 2-fold in the group that received R-eCG (63 [0.49%] differentially regulated genes in total). The microarray results were concurrent with and hence validated by those of RT-PCR, qRT-PCR, and IHC analyses.

conclusionsThe present results indicate that R-eCG can be adequately produced through a cell-based expression system through post-translational modification of eCG and can induce ovulation in vivo. These results provide novel insights into the molecular mechanisms underlying the up- or down-regulation of specific ovarian genes and the production of R-eCG with enhanced biological activity in vivo.

Indexed as

Gene Expression ProfilingAnimalsChorionic GonadotropinFemaleGonadotropins, EquineHorsesImmunohistochemistryMiceMicroarray AnalysisOvaryOvulationRecombinant ProteinsChorionic GonadotropinGonadotropins, EquineRecombinant ProteinsCHO-S cellsImmunohistochemistryMCRMicroarrayqRT-PCRR-eCG

Identifiers

PMID33176770
PMCPMC7661263
OpenAlexW3104760665

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.