Evidence map›Paper›PMID 32820219›Full record

ArticleScientific reports2020

Transcriptomics uncovers substantial variability associated with alterations in manufacturing processes of macrophage cell therapy products.

Olga L Gurvich, Katja A Puttonen, Aubrey Bailey, Anssi Kailaanmäki, Vita Skirdenko, Minna Sivonen, Sanna Pietikäinen, Nigel R Parker, Seppo Ylä-Herttuala, Tuija Kekarainen

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Single-cell profiling identifies IL1BNature communications · 2024
    Article
  11. Review
  12. Large extracellular vesicles derived from human regulatory macrophages (L-EVJournal of molecular medicine (Berlin, Germany) · 2023
    Article
  13. Human lncRNAInternational journal of molecular sciences · 2023
    Article
  14. Macrophages in immunoregulation and therapeutics.Signal transduction and targeted therapy · 2023
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

10 authors.

Olga L Gurvich *Kuopio Center for Gene and Cell Therapy, Microkatu 1S, 70210, Kuopio, Finland.
Katja A Puttonen *Kuopio Center for Gene and Cell Therapy, Microkatu 1S, 70210, Kuopio, Finland.
Aubrey BaileyKuopio Center for Gene and Cell Therapy, Microkatu 1S, 70210, Kuopio, Finland.
Anssi KailaanmäkiKuopio Center for Gene and Cell Therapy, Microkatu 1S, 70210, Kuopio, Finland.
Vita SkirdenkoKuopio Center for Gene and Cell Therapy, Microkatu 1S, 70210, Kuopio, Finland.
Minna SivonenKuopio Center for Gene and Cell Therapy, Microkatu 1S, 70210, Kuopio, Finland.
Sanna PietikäinenKuopio Center for Gene and Cell Therapy, Microkatu 1S, 70210, Kuopio, Finland.
Nigel R ParkerA.I. Virtanen Institute, University of Eastern Finland, 70211, Kuopio, Finland.
Seppo Ylä-HerttualaA.I. Virtanen Institute, University of Eastern Finland, 70211, Kuopio, Finland.
Tuija KekarainenKuopio Center for Gene and Cell Therapy, Microkatu 1S, 70210, Kuopio, Finland. tuija.kekarainen@kct.fi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression plasticity is central for macrophages' timely responses to cues from the microenvironment permitting phenotypic adaptation from pro-inflammatory (M1) to wound healing and tissue-regenerative (M2, with several subclasses). Regulatory macrophages are a distinct macrophage type, possessing immunoregulatory, anti-inflammatory, and angiogenic properties. Due to these features, regulatory macrophages are considered as a potential cell therapy product to treat clinical conditions, e.g., non-healing diabetic foot ulcers. In this study we characterized two differently manufactured clinically relevant regulatory macrophages, programmable cells of monocytic origin and comparator macrophages (M1, M2a and M0) using flow-cytometry, RT-qPCR, phagocytosis and secretome measurements, and RNA-Seq. We demonstrate that conventional phenotyping had a limited potential to discriminate different types of macrophages which was ameliorated when global transcriptome characterization by RNA-Seq was employed. Using this approach we confirmed that macrophage manufacturing processes can result in a highly reproducible cell phenotype. At the same time, minor changes introduced in manufacturing resulted in phenotypically and functionally distinct regulatory macrophage types. Additionally, we have identified a novel constellation of process specific biomarkers, which will support further clinical product development.

Indexed as

Cell- and Tissue-Based TherapyTranscriptomeBiomarkersCytokinesFlow CytometryHumansImmunophenotypingMacrophagesPhagocytosisReal-Time Polymerase Chain ReactionWound HealingBiomarkersCytokines

Identifiers

PMID32820219
PMCPMC7441152

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Registered trials

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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.