Evidence map›Paper›PMID 25202509›Full record

ArticleApplications in plant sciences2013

A method for extracting high-quality RNA from diverse plants for next-generation sequencing and gene expression analyses.

Roxana Yockteng, Ana M R Almeida, Stephen Yee, Thiago Andre, Colin Hill, Chelsea D Specht

Abstract read
In one paragraph

Article in Applications in plant sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

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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

38 citing papers in PubMed.

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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

6 authors.

Roxana YocktengDepartment of Plant and Microbial Biology, Department of Integrative Biology, and the University and Jepson Herbaria, University of California, Berkeley, California 94720 USA ; Origine, Structure et Evolution de la Diversité (UMR 7205 CNRS), Muséum National d'Histoire Naturelle, CP39, 16 rue Buffon, 75231 Paris Cedex 05, France.
Ana M R AlmeidaDepartment of Plant and Microbial Biology, Department of Integrative Biology, and the University and Jepson Herbaria, University of California, Berkeley, California 94720 USA.
Stephen YeeDepartment of Plant and Microbial Biology, Department of Integrative Biology, and the University and Jepson Herbaria, University of California, Berkeley, California 94720 USA.
Thiago AndreLaboratório de Taxonomia Vegetal e Biologia Reprodutiva, Departamento de Botânica, Universidade Federal do Rio de Janeiro, 21941-902 Rio de Janeiro, Rio de Janeiro, Brazil.
Colin HillDepartment of Plant and Microbial Biology, Department of Integrative Biology, and the University and Jepson Herbaria, University of California, Berkeley, California 94720 USA.
Chelsea D SpechtDepartment of Plant and Microbial Biology, Department of Integrative Biology, and the University and Jepson Herbaria, University of California, Berkeley, California 94720 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledPREMISE OF THE STUDY: To study gene expression in plants, high-quality RNA must be extracted in quantities sufficient for subsequent cDNA library construction. Field-based collections are often limited in quantity and quality of tissue and are typically preserved in RNAlater. Obtaining sufficient and high-quality yield from variously preserved samples is essential to studies of comparative biology. We present a protocol for the extraction of high-quality RNA from even the most recalcitrant plant tissues. • METHODS AND

resultsTissues from mosses, cycads, and angiosperm floral organs and leaves were preserved in RNAlater or frozen fresh at -80°C. Extractions were performed and quality was measured for yield and purity. •

conclusionsThis protocol results in the extraction of high-quality RNA from a variety of plant tissues representing vascular and nonvascular plants. RNA was used for cDNA synthesis to generate libraries for next-generation sequencing and for expression studies using quantitative PCR (qPCR) and semiquantitative reverse transcription PCR (RT-PCR).

Indexed as

cDNA librarygene expressionIlluminaRNA extractionRNA-Seqtranscriptome

Identifiers

PMID25202509
PMCPMC4103122

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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.