Evidence map›Paper›PMID 30202240›Full record

ArticleCancer cell international2018

SOX2OT knockdown derived changes in mitotic regulatory gene network of cancer cells.

Marie Saghaeian Jazi, Nader Mansour Samaei, Seyed Javad Mowla, Babak Arefnezhad, Morteza Kouhsar

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 12 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 4 institutions in 1 country.

Marie Saghaeian Jazi1Metabolic Disorders Research Center, Golestan University of Medical Sciences, Gorgan, Iran.
Nader Mansour Samaei2Stem Cell Research Center, Golestan University of Medical Sciences, Po Box: 4934174611, Gorgan, Iran.
Seyed Javad Mowla3Department of Molecular Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran.
Babak ArefnezhadOMICS™ Research Group (Media Teb Gene), Tehran, Iran.
Morteza Kouhsar5Laboratory of System Biology and Bioinformatics (LBB), University of Tehran, Institute of Biochemistry and Biophysics, Tehran, Iran.
Golestan University · IRStem Cell Technology Research Center · IRTarbiat Modares University · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSOX2 overlapping transcript (SOX2OT) is a long non-coding RNA, over-expressed in human tumor tissues and embryonic cells. Evidences support its function in the cell cycle; however there is no clear mechanism explaining its function in cell proliferation regulation. Here we investigated cancer cell response to SOX2OT knockdown by RNA sequencing.

methodsSOX2OT expression was inhibited by siRNA in two cancer cell lines (A549, U-87 MG), then the RNA of treated cells were used for the cDNA library synthesis and RNA sequencing. The differentially expressed genes were used for functional enrichment and the gene expression network was analyzed to find the most relevant biological process with SOX2OT function. Furthermore, the expression change of candidate genes was measured by qRT-PCR for more confirmation and the cell cycle was monitored by PI staining.

resultsOur findings showed that SOX2OT knockdown affects the cellular gene expression generally with enriched cell proliferation and development biological process. Particularly, the cell cycle and mitotic regulatory genes expression including:

conclusionOur results propound SOX2OT association with cell cycle and mitosis regulation in cancer cells.

Indexed as

Cancer cellCell cycleSOX2 overlapping transcript

Identifiers

PMID30202240
PMCPMC6126007
OpenAlexW2891734037

What OpenQuestion holds

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LicenceCC BY
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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.