Evidence map›Paper›PMID 34928958›Full record

ArticlePloS one2021

Selection and validation of reference genes for normalization of qRT-PCR data to study the cannabinoid pathway genes in industrial hemp.

Michihito Deguchi, Shobha Potlakayala, Zachary Spuhler, Hannah George, Vijay Sheri, Ruba Agili, Aayushi Patel, Sairam Rudrabhatla

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. 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
0.6field-weighted citation impact, top 32% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Effect of Hormonal Treatments on Cannabinoid Content Levels in Female Hemp (International journal of molecular sciences · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Horticulture research · 2024
    Article
  13. Article
  14. Frontiers in plant science · 2022
    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

8 authors at 1 institution in 1 country.

Michihito DeguchiThe Central Pennsylvania Research and Teaching Laboratory for Biofuels, Penn State Harrisburg, Middletown, Pennsylvania, United States of America.
Shobha PotlakayalaThe Central Pennsylvania Research and Teaching Laboratory for Biofuels, Penn State Harrisburg, Middletown, Pennsylvania, United States of America.
Zachary SpuhlerThe Central Pennsylvania Research and Teaching Laboratory for Biofuels, Penn State Harrisburg, Middletown, Pennsylvania, United States of America.
Hannah GeorgeThe Central Pennsylvania Research and Teaching Laboratory for Biofuels, Penn State Harrisburg, Middletown, Pennsylvania, United States of America.
Vijay SheriThe Central Pennsylvania Research and Teaching Laboratory for Biofuels, Penn State Harrisburg, Middletown, Pennsylvania, United States of America.
Ruba AgiliThe Central Pennsylvania Research and Teaching Laboratory for Biofuels, Penn State Harrisburg, Middletown, Pennsylvania, United States of America.
Aayushi PatelThe Central Pennsylvania Research and Teaching Laboratory for Biofuels, Penn State Harrisburg, Middletown, Pennsylvania, United States of America.
Sairam RudrabhatlaThe Central Pennsylvania Research and Teaching Laboratory for Biofuels, Penn State Harrisburg, Middletown, Pennsylvania, United States of America.ORCID 0000-0002-0663-7366
Pennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been significant interest in researching the pharmaceutical applications of Industrial hemp since its legalization three years ago. The crop is mostly dioecious and known for its production of phytocannabinoids, flavonoids, and terpenes. Although many scientific reports have showed gene expression analysis of hemp through OMICs approaches, unreliable reference genes for normalization of qRT-PCR data make it difficult to validate the OMICs data. Four software packages: geNorm, NormFinder, BestKeeper, and RefFinder were used to evaluate the differential gene expression patterns of 13 candidate reference genes under osmotic, heavy metal, hormonal, and UV stresses. EF-1α ranked as the most stable reference gene across all stresses, TUB was the most stable under osmotic stress, and TATA was the most stable under both heavy metal stress and hormonal stimuli. The expression patterns of two cannabinoid pathway genes, AAE1 and CBDAS, were used to validate the reliability of the selected reference genes. This work provides useful information for gene expression characterization in hemp and future research in the synthesis, transport, and accumulation of secondary metabolites.

Indexed as

Genes, PlantCannabinoidsCannabisGene Expression Regulation, PlantPeptide Elongation Factor 1Plant ProteinsReal-Time Polymerase Chain ReactionRNA, PlantStress, PhysiologicalTubulinCannabinoidsPeptide Elongation Factor 1Plant ProteinsRNA, PlantTubulin

Identifiers

PMID34928958
PMCPMC8687539
OpenAlexW4200416248

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.