Evidence map›Paper›PMID 36377893›Full record

ArticleMicrobiology spectrum2022

Selection of Ideal Reference Genes for Gene Expression Analysis in COVID-19 and Mucormycosis.

Sunil Kumar, Ayaan Ahmad, Namrata Kushwaha, Niti Shokeen, Sheetal Negi, Kamini Gautam, Anup Singh, Pavan Tiwari, Rakesh Garg, Richa Agarwal and 4 more

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

14 authors at 2 institutions in 1 country.

Sunil KumarLaboratory of Infection Biology and Translational Research, Department of Biotechnology, All India Institute of Medical Sciences, New Delhi, India.
Ayaan AhmadLaboratory of Infection Biology and Translational Research, Department of Biotechnology, All India Institute of Medical Sciences, New Delhi, India.
Namrata KushwahaLaboratory of Infection Biology and Translational Research, Department of Biotechnology, All India Institute of Medical Sciences, New Delhi, India.
Niti ShokeenLaboratory of Infection Biology and Translational Research, Department of Biotechnology, All India Institute of Medical Sciences, New Delhi, India.
Sheetal NegiLaboratory of Infection Biology and Translational Research, Department of Biotechnology, All India Institute of Medical Sciences, New Delhi, India.
Kamini GautamLaboratory of Infection Biology and Translational Research, Department of Biotechnology, All India Institute of Medical Sciences, New Delhi, India.
Anup SinghDepartment of Otorhinolaryngology-Head & Neck Surgery, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Pavan TiwariDepartment of Pulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Rakesh GargDepartment of Onco-Anesthesiology, Intensive Care, Pain and Palliative Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Richa AgarwalDepartment of Onco-Anesthesiology, Intensive Care, Pain and Palliative Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Anant MohanDepartment of Pulmonary Medicine and Sleep Disorders, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Anjan TrikhaDepartment of Onco-Anesthesiology, Intensive Care, Pain and Palliative Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Alok ThakarDepartment of Otorhinolaryngology-Head & Neck Surgery, All India Institute of Medical Sciences (AIIMS), New Delhi, India.
Vikram SainiLaboratory of Infection Biology and Translational Research, Department of Biotechnology, All India Institute of Medical Sciences, New Delhi, India.ORCID 0000-0002-0258-2871
All India Institute of Medical Sciences · INDepartment of Biotechnology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selection of reference genes during real-time quantitative PCR (qRT-PCR) is critical to determine accurate and reliable mRNA expression. Nonetheless, not a single study has investigated the expression stability of candidate reference genes to determine their suitability as internal controls in SARS-CoV-2 infection or COVID-19-associated mucormycosis (CAM). Using qRT-PCR, we determined expression stability of the nine most commonly used housekeeping genes, namely, TATA-box binding protein (

Indexed as

COVID-19MucormycosisGene Expression ProfilingGlyceraldehyde-3-Phosphate DehydrogenasesHumansInterleukin-6Real-Time Polymerase Chain ReactionSARS-CoV-2Glyceraldehyde-3-Phosphate DehydrogenasesInterleukin-6COVID-19CypAgene expressionIL-6mucormycosisNRF2qRT-PCRreference geneSARS-CoV-2

Identifiers

PMID36377893
PMCPMC9769637
OpenAlexW4309048208

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.