Evidence map›Paper›PMID 36777000›Full record

ArticleMolecular biology research communications2022

Novel RNA extraction method from human tears.

Mahintaj Dara, Azam Habibi, Negar Azarpira, Mehdi Dianatpour, Mahmood Nejabat, Amir Khosravi, Nader Tanideh

Abstract read
In one paragraph

Article in Molecular biology research communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

7 authors.

Mahintaj DaraStem Cells Technology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Azam HabibiDepartment of tissue engineering and cell therapy, School of Advanced Technology in Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Negar AzarpiraTransplant Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Mehdi DianatpourStem Cells Technology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Mahmood NejabatPoostchi Ophthalmology Research Center, Department of Ophthalmology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Amir KhosraviPoostchi Ophthalmology Research Center, Department of Ophthalmology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Nader TanidehStem Cells Technology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human tears can be used as a noninvasive source of genetic materials and biomarkers in the prognosis and diagnosis of ocular and non-ocular diseases. The present protocol is a novel direct RNA extraction method from tears. This study aims to provide a suitable method for direct extraction of RNA from tears with high quality and quantity. In this study, we develop a TRIzol base protocol for direct RNA extraction from human tears. quality and quantity of extracted RNA measured by calculation of 260/280 UV absorption ratio using Nanodrop and real-time PCR. RNA was extracted with this modified method and a purified (260/280 UV absorption ratio between 1.8 to 2 and a high yield of total RNA, on average 95 μg, from tears was extracted. In conclusion, we developed an easy and suitable method for direct extraction of total RNA from tears with high quality and quantity.

Indexed as

BiomarkersExtraction methodHuman tearsRNA

Identifiers

PMID36777000
PMCPMC9905750

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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.