Evidence map›Paper›PMID 32734127›Full record

ArticleDevelopment & reproduction2020

Ectopic Overexpression of Coiled-Coil Domain Containing 110 Delays G2/M Entry in U2-OS Cells.

Sue Nyoung Lee, Kyeong-Man Hong, Yeon Sun Seong, Sahng-June Kwak

Open access · diamondAbstract read
In one paragraph

Article in Development & reproduction, 2020. 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
0.9field-weighted citation impact, top 18% 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, 8 citations in OpenAlex.

  1. Review
  2. Article
  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

4 authors at 2 institutions in 1 country.

Sue Nyoung LeeDept. of Nanobiomedical Science & BK21 PLUS Research Center for Regenerative Medicine, Dankook University, Cheonan 31116, Korea.ORCID https://orcid.org/0000-0002-4846-212X
Kyeong-Man HongDept. of Nanobiomedical Science & BK21 PLUS Research Center for Regenerative Medicine, Dankook University, Cheonan 31116, Korea.ORCID https://orcid.org/0000-0002-4384-0267
Yeon Sun SeongDept. of Nanobiomedical Science & BK21 PLUS Research Center for Regenerative Medicine, Dankook University, Cheonan 31116, Korea.ORCID https://orcid.org/0000-0002-4743-8048
Sahng-June Kwak3Dept. of Biochemistry, College of Medicine, Dankook University, Cheonan 31116, Korea.ORCID https://orcid.org/0000-0003-4529-0307
Dankook University · KRNational Cancer Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coiled-coil domain containing 110 (CCDC110, KM-HN-1) is a protein containing C-terminal coiled-coil domain (CCD) which was previously discovered as a member of the human cancer/testis antigen (CTA). In addition, CCDC110 has both nuclear localization signal sequence and the leucine zipper motif. Although the functional role of CCDC110 has yet to be fully identified, the mRNA expression levels of CCDC110 are known to be highly elevated in various cancer types including testis, implying its relevance to cancer pathogenesis. In this study, we first developed several monoclonal antibody (mAb) hybridoma clones targeting CCDC110 and further isolated clone by characterizing for its specificity using immunoblotting and immunoprecipitation approaches with basal parenchymal sperm cells in testis tissue. Next, using these mAbs, we showed that the Tet-inducible overexpression of CCDC110 protein delayed the entry of G2/M phase in U2-OS osteosarcoma cells. Based on these results, we propose that CCDC110 plays a crucial role in cell cycle progression.

Indexed as

Cancer/Testis Antigen (CTA)CCDC110Cell cycleG2/MTestis

Identifiers

PMID32734127
PMCPMC7375983
OpenAlexW3044294842

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.