Evidence map›Paper›PMID 28299307›Full record

ArticleAdvanced biomedical research2017

Identification of Appropriate Housekeeping Genes for Gene Expression Analysis in Long-term Hypoxia-treated Kidney Cells.

Shiva Moein, Shaghayegh Haghjooy Javanmard, Maryam Abedi, Mohammad Hosein Izadpanahi, Yousof Gheisari

Open access · goldAbstract read
In one paragraph

Article in Advanced biomedical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

14 citing papers in PubMed, 33 citations in OpenAlex.

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  13. Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2020
    Article
  14. Consecutive Hypoxia Decreases Expression ofFrontiers in cell and developmental biology · 2020
    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

5 authors at 1 institution in 1 country.

Shiva MoeinDepartment of Genetics and Molecular Biology, Isfahan University of Medical Sciences, Isfahan, Iran.
Shaghayegh Haghjooy JavanmardApplied Physiology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Maryam AbediDepartment of Genetics and Molecular Biology, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammad Hosein IzadpanahiDepartment of Urology, Isfahan University of Medical Sciences, Isfahan, Iran.
Yousof GheisariDepartment of Genetics and Molecular Biology, Isfahan University of Medical Sciences, Isfahan, Iran; Regenerative Medicine Lab, Isfahan Kidney Diseases Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelection of stably expressing housekeeping genes (HKGs) is a crucial step in gene expression analysis. However, there are no universal HKGs for all experiments, and they should be determined by each biologic condition. The aim of this study was to detect appropriate HKGs for kidney cells cultured in long-term hypoxia. MATERIALS AND

methodsBased on a screening step using a microarray data available from gene expression omnibus database, a set of candidate HKGs were chosen to be assessed in human kidney cells cultured in hypoxic or normoxic conditions for about 2 weeks in a time course manner. The stability of gene expression was assessed by refFinder, a web-based tool that integrates four computational programs (geNorm, Normfinder, BestKeeper, and the comparative ΔΔCt method).

resultsGAPDH and ACTB were the most stable genes in hypoxia treated cells whereas, B2M and ACTB were the best HKGs in cells cultured in normoxia. When both hypoxia and normoxia treated cells from all time points were evaluated together, GAPDH and ACTB equally showed the most stability.

conclusionAs in relative quantification of real-time polymerase chain reaction data, the same HKGs should be selected for all groups, we believe that GAPDH and ACTB are suitable HKGs for studies on the effect of hypoxia on cultured kidney cells.

Indexed as

Gene expression analysishousekeeping genehypoxiakidney

Identifiers

PMID28299307
PMCPMC5343613
OpenAlexW2589862562

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.