Evidence map›Paper›PMID 29509770›Full record

ArticlePloS one2018

Selection of suitable reference genes for normalization of quantitative RT-PCR (RT-qPCR) expression data across twelve tissues of riverine buffaloes (Bubalus bubalis).

Ramneek Kaur, Monika Sodhi, Ankita Sharma, Vijay Lakshmi Sharma, Preeti Verma, Shelesh Kumar Swami, Parvesh Kumari, Manishi Mukesh

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 48 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

8 authors at 2 institutions in 1 country.

Ramneek KaurDepartment of Animal Biotechnology, ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India.
Monika SodhiDepartment of Animal Biotechnology, ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India.
Ankita SharmaDepartment of Animal Biotechnology, ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India.
Vijay Lakshmi SharmaDepartment of Zoology, Panjab University, Chandigarh, India.
Preeti VermaDepartment of Animal Biotechnology, ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India.
Shelesh Kumar SwamiDepartment of Animal Biotechnology, ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India.
Parvesh KumariDepartment of Animal Biotechnology, ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India.
Manishi MukeshDepartment of Animal Biotechnology, ICAR-National Bureau of Animal Genetic Resources, Karnal, Haryana, India.ORCID 0000-0001-8101-3863
National Bureau of Animal Genetic Resources · INPanjab University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selection of reference genes has become an integral step in any real time quantitative PCR (RT-qPCR) based expression studies. The importance of this study stems from the fact that riverine buffaloes are major dairy species of Indian sub-continent and the information generated here will be of great interest to the investigators engaged in functional genomic studies of this important livestock species. In this study, an effort was made to evaluate a panel of 10 candidate reference genes (glyceraldehyde 3-phosphate dehydrogenase (GAPDH), beta- actin (ACTB), ubiquitously expressed transcript (UXT), ribosomal protein S15 (RPS15), ribosomal protein L-4 (RPL4), ribosomal protein S9 (RPS9), ribosomal protein S23 (RPS23), hydroxymethylbilane synthase (HMBS), β2 Microglobulin (β2M) and eukaryotic translation elongation factor 1 alpha 1 (EEF1A1) across 12 tissues (mammary gland, kidney, spleen, liver, heart, intestine, ovary, lung, muscle, brain, subcutaneous fat and testis) of riverine buffaloes. In addition to overall analysis, tissue wise evaluation of expression stability of individual RG was also performed. Three different algorithms provided in geNorm, NormFinder and BestKeeper softwares were used to evaluate the stability of 10 potential reference genes from different functional classes. The M-value given by geNorm ranged from 0.9797 (RPS9 and UXT) to 1.7362 (RPS15). From the most stable to the least stable, genes were ranked as: UXT/RPS9> RPL4> RPS23> EEF1A1> ACTB> HMBS> GAPDH> B2M> RPS15. While NormFinder analysis ranked the genes as: UXT> RPS23> RPL4> RPS9> EEF1A1> HMBS> ACTB> β2M> GAPDH> RPS15. Based on the crossing point SD value and range of fold change expression, BestKeeper analysis ranked the genes as: RPS9> RPS23/UXT> RPL4> GAPDH> EEF1A1> ACTB> HMBS> β2M> RPS15. Overall the study has identified RPS23, RPS9, RPL4 and UXT genes to be the most stable and appropriate RGs that could be utilized for normalization of transcriptional data in various tissues of buffaloes. This manuscript thus provide useful information on panel of reference genes that could be helpful for researchers conducting functional genomic studies in riverine buffaloes.

Indexed as

Real-Time Polymerase Chain ReactionAlgorithmsAnimalsBuffaloesGene ExpressionReference ValuesSoftwareTranscriptome

Identifiers

PMID29509770
PMCPMC5839537
OpenAlexW2792868678

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.