Evidence map›Paper›PMID 35725612›Full record

ArticleBMC research notes2022

Isolation of high-quality RNA for high throughput applications from secondary metabolite-rich Crocus sativus L.

Umer Majeed Wani, Zubair Ahmad Wani, Aabid M Koul, Asif Amin, Basit Amin Shah, Faizah Farooq, Raies A Qadri

Abstract read
In one paragraph

Article in BMC research notes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

7 authors.

Umer Majeed Wani *Immunobiology Lab, Department of Biotechnology, University of Kashmir, Srinagar, 190 006, Jammu and Kashmir, India.
Zubair Ahmad Wani *Immunobiology Lab, Department of Biotechnology, University of Kashmir, Srinagar, 190 006, Jammu and Kashmir, India.
Aabid M KoulImmunobiology Lab, Department of Biotechnology, University of Kashmir, Srinagar, 190 006, Jammu and Kashmir, India.
Asif AminImmunobiology Lab, Department of Biotechnology, University of Kashmir, Srinagar, 190 006, Jammu and Kashmir, India.
Basit Amin ShahImmunobiology Lab, Department of Biotechnology, University of Kashmir, Srinagar, 190 006, Jammu and Kashmir, India.
Faizah FarooqImmunobiology Lab, Department of Biotechnology, University of Kashmir, Srinagar, 190 006, Jammu and Kashmir, India.
Raies A QadriImmunobiology Lab, Department of Biotechnology, University of Kashmir, Srinagar, 190 006, Jammu and Kashmir, India. raies@kashmiruniversity.ac.in.

Funding

Council of Scientific and Industrial Research, India 38(0163)/19
6 · The paper itself

Abstract

objectiveIsolating high-quality RNA is a basic requirement while performing high throughput sequencing, microarray, and various other molecular investigations. However, it has been quite challenging to isolate RNA with absolute purity from plants like Crocus sativus that are rich in secondary metabolites, polysaccharides, and other interfering compounds which often irreversibly co-precipitate with the RNA. While many methods have been proposed for RNA extraction including CTAB, TriZol, and SDS-based methods, which invariably yield less and poor quality RNA and hence it necessitated the isolation of high-quality RNA suitable for high throughput applications.

resultsIn the present study we made certain adjustments to the available protocols including modifications in the extraction buffer itself and the procedure employed. Our method led to the isolation of clear and non-dispersive total RNA with an RNA Integrity Number (RIN) value greater than 7.5. The quality of the RNA was further assessed by qPCR-based amplification of mRNA and mature miRNAs such as Cs-MIR166c and Cs-MIR396a.

Indexed as

CrocusMicroRNAsPlantsPolysaccharidesRNA, MessengerMicroRNAsPolysaccharidesRNA, MessengerCrocus sativusHigh throughput sequencingmicroRNARNA integrity numberSecondary metabolites

Identifiers

PMID35725612
PMCPMC9208216

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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.