Evidence map›Paper›PMID 31749349›Full record

ArticleJournal of Zhejiang University. Science. B

Mycoplasma contamination-mediated attenuation of plasmid DNA transfection efficiency is augmented via L-arginine deprivation in HEK-293 cells.

Zi-Fei Yin, Ya-Ni Zhang, Shu-Fang Liang, Sha-Sha Zhao, Juan Du, Bin-Bin Cheng

Open access · bronzeAbstract read
In one paragraph

Article in Journal of Zhejiang University. Science. B. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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.

Zi-Fei YinDepartment of Traditional Chinese Medicine, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Ya-Ni ZhangDepartment of Traditional Chinese Medicine, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Shu-Fang LiangDepartment of Traditional Chinese Medicine, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Sha-Sha ZhaoDepartment of Traditional Chinese Medicine, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Juan DuDepartment of Traditional Chinese Medicine, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Bin-Bin ChengDepartment of Traditional Chinese Medicine, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.
Second Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mycoplasma infection is the most prevalent contamination in cell culture. Analysis of cell culture in laboratories from different countries shows that mycoplasma contamination ranges from 15% to 80% and, in some cases, even reaches 100% (Chernov et al., 2014). Whilst mycoplasma infection is not visible to the naked eye in cell culture, the consequences of mycoplasma contamination have been shown to induce a number of cellular changes, for example, increased resistance to chemotherapeutic drugs. Therefore, any results obtained from tissue culture studies, in the presence of mycoplasma contamination, potentially render the data invalid (Kim et al., 2015; Gedye et al., 2016). As such, mycoplasmas are not harmless bystanders and cannot be ignored in in vitro studies.

Indexed as

PlasmidsTransfectionArginineHEK293 CellsHumansMycoplasmaArginineMycoplasma; Contamination; Transfection efficiency; HEK-293 cell; Cell culture

Identifiers

PMID31749349
PMCPMC6885403
OpenAlexW2990335488

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.