Evidence map›Paper›PMID 26600686›Full record

ArticlePhysiology and molecular biology of plants : an international journal of functional plant biology2015

Isolation of high quality RNA from pistachio (Pistacia vera L.) and other woody plants high in secondary metabolites.

Maryam Moazzam Jazi, Saideh Rajaei, Seyed Mahdi Seyedi

Open access · bronzeAbstract read
In one paragraph

Article in Physiology and molecular biology of plants : an international journal of functional plant biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  4. Article
  5. Article
  6. Peduncle Necking inFrontiers in plant science · 2022
    Article
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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

3 authors at 1 institution in 1 country.

Maryam Moazzam JaziPlant Biotechnology Department, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
Saideh RajaeiEnvironmental and Industrial Biotechnology Department, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
Seyed Mahdi SeyediPlant Biotechnology Department, National Institute of Genetic Engineering and Biotechnology, Tehran, Iran.
National Institute of Genetic Engineering and Biotechnology · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality and quantity of RNA are critical for successful downstream transcriptome-based studies such as microarrays and RNA sequencing (RNA-Seq). RNA isolation from woody plants, such as Pistacia vera, with very high amounts of polyphenols and polysaccharides is an enormous challenge. Here, we describe a highly efficient protocol that overcomes the limitations posed by poor quality and low yield of isolated RNA from pistachio and various recalcitrant woody plants. The key factors that resulted in a yield of 150 μg of high quality RNA per 200 mg of plant tissue include the elimination of phenol from the extraction buffer, raising the concentration of β-mercaptoethanol, long time incubation at 65 °C, and nucleic acid precipitation with optimized volume of NaCl and isopropyl alcohol. Also, the A260/A280 and A260/A230 of extracted RNA were about 1.9-2.1and 2.2-2.3, respectively, revealing the high purity. Since the isolated RNA passed highly stringent quality control standards for sensitive reactions, including RNA sequencing and real-time PCR, it can be considered as a reliable and cost-effective method for RNA extraction from woody plants.

Indexed as

Pistacia veraPolyphenolsReal-time PCRRNA extractionRNA-sequencingTree

Identifiers

PMID26600686
PMCPMC4646865
OpenAlexW1831776698

What OpenQuestion holds

Textmetadata
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.