Evidence map›Paper›PMID 36184577›Full record

ArticleImmunology and cell biology2022

Selection and validation of reference genes for qPCR analysis of differentiation and maturation of THP-1 cells into M1 macrophage-like cells.

Guoqiang Ren, Morten Juhl, Qiuyue Peng, Trine Fink, Simone Riis Porsborg

Open access · hybridAbstract read
In one paragraph

Article in Immunology and cell biology, 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
1.0field-weighted citation impact, top 27% 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, 13 citations in OpenAlex.

  1. Screening of Reference Gene for RT-qPCR inInternational journal of molecular sciences · 2026
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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

5 authors at 2 institutions in 1 country.

Guoqiang RenRegenerative Medicine Group, Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 3B, 9220, Aalborg, Denmark.ORCID 0000-0001-9126-3890
Morten JuhlCardiology Stem Cell Centre, The Centre for Cardiac, Vascular, Pulmonary and Infectious Diseases, Copenhagen University Hospital Rigshospitalet, Denmark.
Qiuyue PengRegenerative Medicine Group, Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 3B, 9220, Aalborg, Denmark.
Trine FinkRegenerative Medicine Group, Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 3B, 9220, Aalborg, Denmark.
Simone Riis PorsborgRegenerative Medicine Group, Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 3B, 9220, Aalborg, Denmark.ORCID 0000-0003-0167-5408
Aalborg University · DKCopenhagen University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For cell-based assays studying monocytes and macrophages, the immortalized monocyte cell line THP-1 is widely used and stimulated with phorbol 12-myristate 13-acetate, lipopolysaccharide (LPS) and/or interferon-γ (IFN-γ), after which it differentiates and polarizes into proinflammatory M1-like macrophages. For the quantification of this and the effect of different factors affecting these processes, the expression levels of various maturation markers are determined using reverse transcription-quantitative PCR. For this purpose, stably expressed reference genes are crucial. However, no studies evaluating the stability of reference genes in THP-1 cells stimulated with LPS and IFN-γ have been performed. Therefore, this paper describes the selection of the most used reference genes [RPL37A (ribosomal protein L37a), GAPDH (glyceraldehyde-3-phosphate dehydrogenase), UBC (ubiquitin C), B2M (0β2-microbulin), ACTB (β-actin) and PPIA (cyclophilin A)], the in silico primer design, the analysis and the validation of these in accordance with the MIQE (Minimum Information for Publication of Quantitative Real-Time PCR Experiments) guidelines and more recent recommendations for the validation of the stability of reference genes. Using the RefFinder platform, including the four most popular algorithms for reference gene validation, the Delta CT, BestKeeper, NormFinder and geNorm, we find the reference genes GAPDH and UBC to be the most stable. Furthermore, we demonstrate that the normalization of gene expression data using the least stable reference genes, ACTB and B2M, dramatically affects the interpretation of experimental data. Taken together, it is vital to validate the stability of reference genes under the specific experimental conditions used when utilizing the THP-1 monocyte model system.

Indexed as

LipopolysaccharidesMacrophagesGene Expression ProfilingHumansMonocytesReal-Time Polymerase Chain ReactionTetradecanoylphorbol AcetateTHP-1 CellsLipopolysaccharidesTetradecanoylphorbol AcetateInterferon-γlipopolysaccharideM1 macrophage-like cellsreference geneRT-qPCRTHP-1

Identifiers

PMID36184577
PMCPMC9828170
OpenAlexW4300002187

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.