Evidence map›Paper›PMID 31819727›Full record

ArticlePlant biotechnology (Tokyo, Japan)2018

Evaluation of internal control genes for quantitative realtime PCR analyses for studying fruit development of dwarf tomato cultivar 'Micro-Tom'.

Seung-Won Choi, Ken Hoshikawa, Satoshi Fujita, Dung Pham Thi, Tsuyoshi Mizoguchi, Hiroshi Ezura, Emi Ito

Abstract read
In one paragraph

Article in Plant biotechnology (Tokyo, Japan), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Stimulation of Tomato Drought Tolerance byInternational journal of molecular sciences · 2023
    Article
  8. Article
  9. Functional Characterization of TomatoInternational journal of molecular sciences · 2022
    Article
  10. Article
  11. 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

7 authors.

Seung-Won ChoiDepartment of Natural Sciences, International Christian University (ICU), 3-10-2 Osawa, Mitaka, Tokyo 181-8585, Japan.
Ken HoshikawaFaculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8572, Japan.
Satoshi FujitaGraduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8572, Japan.
Dung Pham ThiGraduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8572, Japan.
Tsuyoshi MizoguchiDepartment of Natural Sciences, International Christian University (ICU), 3-10-2 Osawa, Mitaka, Tokyo 181-8585, Japan.
Hiroshi EzuraFaculty of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8572, Japan.
Emi ItoDepartment of Natural Sciences, International Christian University (ICU), 3-10-2 Osawa, Mitaka, Tokyo 181-8585, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative real-time PCR (qRT-PCR) is widely used to analyze the expression profiles of the genes of interest. In order to obtain accurate quantification data, normalization by using reliable internal control genes is essential. In this study, we evaluated the stability and applicability of eight internal control gene candidates for analyzing gene expression during fruit development in dwarf tomato cultivar Micro-Tom. We collected seventeen different samples from flowers and fruits at different developmental stages, and estimated the expression stability of the candidate genes by two statistical algorithms, geNorm and NormFinder. The combined ranking order and qRT-PCR analyses for expression profiles of

Indexed as

fruit developmentinternal control geneMicro-TomqRT-PCRreference gene

Identifiers

PMID31819727
PMCPMC6879362

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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.