Evidence map›Paper›PMID 22587529›Full record

ArticleBMC biotechnology2012

New cell line development for antibody-producing Chinese hamster ovary cells using split green fluorescent protein.

Yeon-Gu Kim, Byoungwoo Park, Jung Oh Ahn, Joon-Ki Jung, Hong Weon Lee, Eun Gyo Lee

Open access · goldAbstract read
In one paragraph

Article in BMC biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
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

6 authors at 1 institution in 1 country.

Yeon-Gu KimProcess Engineering Center, KRIBB, Daejeon 305-806, Korea.
Byoungwoo Park
Jung Oh Ahn
Joon-Ki Jung
Hong Weon Lee
Eun Gyo Lee
Korea Research Institute of Bioscience and Biotechnology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe establishment of high producer is an important issue in Chinese hamster ovary (CHO) cell culture considering increased heterogeneity by the random integration of a transfected foreign gene and the altered position of the integrated gene. Fluorescence-activated cell sorting (FACS)-based cell line development is an efficient strategy for the selection of CHO cells in high therapeutic protein production.

resultsAn internal ribosome entry site (IRES) was introduced for using two green fluorescence protein (GFP) fragments as a reporter to both antibody chains, the heavy chain and the light chain. The cells co-transfected with two GFP fragments showed the emission of green fluorescence by the reconstitution of split GFP. The FACS-sorted pool with GFP expression had a higher specific antibody productivity (q(Ab)) than that of the unsorted pool. The q(Ab) was highly correlated with the fluorescence intensity with a high correlation coefficient, evidenced from the analysis of median GFP and q(Ab) in individual selected clones.

conclusionsThis study proved that the fragment complementation for split GFP could be an efficient indication for antibody production on the basis of high correlation of q(Ab) with reconstitution of GFP. Taken together, we developed an efficient FACS-based screening method for high antibody-producing CHO cells with the benefits of the split GFP system.

Indexed as

AnimalsAntibodiesCHO CellsCricetinaeCricetulusFlow CytometryGreen Fluorescent ProteinsHEK293 CellsHumansMicroscopy, FluorescenceRecombinant Fusion ProteinsAntibodiesGreen Fluorescent ProteinsRecombinant Fusion Proteins

Identifiers

PMID22587529
PMCPMC3428690
OpenAlexW2058960239

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.