Evidence map›Paper›PMID 18611268›Full record

ArticlePlant methods2008

A community resource for high-throughput quantitative RT-PCR analysis of transcription factor gene expression in Medicago truncatula.

Klementina Kakar, Maren Wandrey, Tomasz Czechowski, Tanja Gaertner, Wolf-Rüdiger Scheible, Mark Stitt, Ivone Torres-Jerez, Yongli Xiao, Julia C Redman, Hank C Wu and 3 more

Open access · goldAbstract read
In one paragraph

Article in Plant methods, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
11.7field-weighted citation impact, top 2% 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

68 citing papers in PubMed, 161 citations in OpenAlex.

  1. Plant direct · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Frontiers in plant science · 2024
    Article
  7. Mutation ofFrontiers in plant science · 2023
    Article
  8. Frontiers in plant science · 2023
    Article
  9. International journal of molecular sciences · 2022
    Article
  10. Article
  11. A Point Mutation inPlants (Basel, Switzerland) · 2022
    Article
  12. Salt Stress Enhances Early Symbiotic Gene Expression inMolecular plant-microbe interactions : MPMI · 2021
    Article
  13. Article
  14. Article
  15. The Candidate Photoperiod GeneFrontiers in plant science · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

8 more citing papers are in PubMed but not listed here.

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

13 authors at 3 institutions in 2 countries.

Klementina KakarMax-Planck Institute of Molecular Plant Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany. mudvardi@noble.org.
Maren Wandrey
Tomasz Czechowski
Tanja Gaertner
Wolf-Rüdiger Scheible
Mark Stitt
Ivone Torres-Jerez
Yongli Xiao
Julia C Redman
Hank C Wu
Foo Cheung
Christopher D Town
Michael K Udvardi
Max Planck Institute of Molecular Plant Physiology · DEJ. Craig Venter Institute · USNoble Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedicago truncatula is a model legume species that is currently the focus of an international genome sequencing effort. Although several different oligonucleotide and cDNA arrays have been produced for genome-wide transcript analysis of this species, intrinsic limitations in the sensitivity of hybridization-based technologies mean that transcripts of genes expressed at low-levels cannot be measured accurately with these tools. Amongst such genes are many encoding transcription factors (TFs), which are arguably the most important class of regulatory proteins. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) is the most sensitive method currently available for transcript quantification, and one that can be scaled up to analyze transcripts of thousands of genes in parallel. Thus, qRT-PCR is an ideal method to tackle the problem of TF transcript quantification in Medicago and other plants.

resultsWe established a bioinformatics pipeline to identify putative TF genes in Medicago truncatula and to design gene-specific oligonucleotide primers for qRT-PCR analysis of TF transcripts. We validated the efficacy and gene-specificity of over 1000 TF primer pairs and utilized these to identify sets of organ-enhanced TF genes that may play important roles in organ development or differentiation in this species. This community resource will be developed further as more genome sequence becomes available, with the ultimate goal of producing validated, gene-specific primers for all Medicago TF genes.

conclusionHigh-throughput qRT-PCR using a 384-well plate format enables rapid, flexible, and sensitive quantification of all predicted Medicago transcription factor mRNAs. This resource has been utilized recently by several groups in Europe, Australia, and the USA, and we expect that it will become the 'gold-standard' for TF transcript profiling in Medicago truncatula.

Identifiers

PMID18611268
PMCPMC2490690
OpenAlexW2147419844

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.