Evidence map›Paper›PMID 25768100›Full record

ArticlePloS one2015

Identification of suitable reference genes for gene expression studies in tendons from patients with rotator cuff tear.

Mariana Ferreira Leal, Paulo Santoro Belangero, Eduardo Antônio Figueiredo, Carina Cohen, Leonor Casilla Loyola, Carlos Vicente Andreoli, Marília Cardoso Smith, Alberto de Castro Pochini, Benno Ejnisman, Moises Cohen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 16 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

10 authors at 1 institution in 1 country.

Mariana Ferreira LealDepartamento de Ortopedia e Traumatologia, Universidade Federal de São Paulo, São Paulo, SP, Brazil; Disciplina de Genética, Departamento de Morfologia e Genética, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Paulo Santoro BelangeroDepartamento de Ortopedia e Traumatologia, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Eduardo Antônio FigueiredoDepartamento de Ortopedia e Traumatologia, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Carina CohenDepartamento de Ortopedia e Traumatologia, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Leonor Casilla LoyolaDepartamento de Ortopedia e Traumatologia, Universidade Federal de São Paulo, São Paulo, SP, Brazil; Disciplina de Genética, Departamento de Morfologia e Genética, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Carlos Vicente AndreoliDepartamento de Ortopedia e Traumatologia, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Marília Cardoso SmithDisciplina de Genética, Departamento de Morfologia e Genética, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Alberto de Castro PochiniDepartamento de Ortopedia e Traumatologia, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Benno EjnismanDepartamento de Ortopedia e Traumatologia, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Moises CohenDepartamento de Ortopedia e Traumatologia, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Universidade Federal de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rotator cuff tear is one of the most common causes of shoulder dysfunction. Gene expression analysis may be a useful tool for understanding tendon tears and the failure of cuff healing, and reverse-transcription quantitative polymerase chain reaction (RT-qPCR) has become an effective method for such studies. However, this technique requires the use of suitable reference genes for data normalization. Here, we evaluate the suitability of six reference genes (18S, ACTB, B2M, GAPDH, HPRT1 and TBP) using samples from the rotator cuff tendons of 28 individuals with tendon tears (3 tendons regions) and 8 controls (2 tendon regions); for the tear patients, we evaluated ruptured and non-ruptured tendon samples. The stability of the candidate reference genes was determined using the NormFinder, geNorm, BestKeeper and DataAssist software packages. Overall, HPRT1 was the best single reference gene, and HPRT1+TBP composed the best pair and HPRT1+TBP+ACTB composed the best trio of reference genes from the analysis of different groups, including the simultaneous analysis of all tissue samples. To identify the optimal combination of reference genes, we evaluated the expression of COL1A1 and COL3A1, and no obvious differences were observed when using 2, 3 or 4 reference genes for most of the analyses. However, COL3A1 expression differed between ruptured and non-ruptured (posterior superior region) tendons of patients only when normalized by HPRT1+TBP+B2M and HPRT1+TBP. On the other hand, the comparison between these two groups using the best trio of reference genes (HPRT1+TBP+ACTB) and 4 reference genes did not revealed a significant difference in COL3A1 expression. Consequently, the use of suitable reference genes for a reliable gene expression evaluation by RT-qPCR should consider the type of tendon samples investigated. HPRT1+TBP+ACTB seems to be the best combination of reference genes for the analysis of involving different tendon samples of individuals with rotator cuff tears.

Indexed as

Rotator Cuff InjuriesShoulder InjuriesAdultFemaleGene Expression ProfilingHumansMaleReal-Time Polymerase Chain ReactionReference StandardsTendon Injuries

Identifiers

PMID25768100
PMCPMC4358921
OpenAlexW2031995613

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.