Evidence map›Paper›PMID 36246703›Full record

ArticlePakistan journal of medical sciences

Two hours method for RNA and DNA co-extraction from blood of coronary artery disease patients: Fast, simple and economical technique.

Abdullahi Dandare, Muhammad Rafiq, Afrose Liaquat, Muhammad Jawad Khan

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

4 authors.

Abdullahi DandareAbdullahi Dandare, Department of Biochemistry, Usmanu Danfodiyo University Sokoto, Nigeria. Department of Biosciences, COMSATS University Islamabad, 45550, Pakistan.
Muhammad RafiqMuhammad Rafiq, Department of Biosciences, COMSATS University Islamabad, 45550, Pakistan, Department of Biochemistry, Shifa College of Medicine, Shifa Tameer-E-Millat University, Islamabad, 45550, Pakistan.
Afrose LiaquatAfrose Liaquat, Department of Biochemistry, Shifa College of Medicine, Shifa Tameer-E-Millat University, Islamabad, 45550, Pakistan.
Muhammad Jawad KhanMuhammad Jawad Khan, Department of Biosciences, COMSATS University Islamabad, 45550, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Extraction of DNA and RNA is the first step in genomics and transcriptomics studies. Phenol-chloroform method for DNA extraction has been the widely used method. However, this method is relatively expensive and time-consuming. The objective of the present study was to validate a cost and time-effective protocol that will reduce the burden of molecular biology-based research and make a difference in laboratories with limited resources. Methods: A comparative study was conducted at Syed Qamer Alam Research Laboratory, Shifa College of Medicine; from February, 2021 to August, 2021. TRIzol™ method was used to extract RNA from blood samples of coronary artery disease patients and remnant was used to extract DNA. The quantity, purity and integrity of the extracted DNA by both methods (TRIzol and phenol-chloroform) was examined. PCR product amplification was performed with Results: The DNA yield in the TRIzol™ method was three-fold higher than phenol chloroform method. Both methods showed intact genomic DNA on the agarose gel, and extracted DNA was efficient for PCR amplification. Conclusion: The TRIzol™ method for RNA and DNA co-extraction is fast, simple and economical technique. So, it can be adopted for routine molecular biology analyses in limited resources setup.

Indexed as

Co-extractionCoronary artery diseaseCost-effectiveDNA extractionRNA extraction

Identifiers

PMID36246703
PMCPMC9532648

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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.