Evidence map›Paper›PMID 32957735›Full record

ArticleCells2020

How Relevant Are Bone Marrow-Derived Mast Cells (BMMCs) as Models for Tissue Mast Cells? A Comparative Transcriptome Analysis of BMMCs and Peritoneal Mast Cells.

Srinivas Akula, Aida Paivandy, Zhirong Fu, Michael Thorpe, Gunnar Pejler, Lars Hellman

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

28 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
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  16. Article
  17. Mast cell-derived BH4 is a critical mediator of postoperative pain.bioRxiv : the preprint server for biology · 2023
    Article
  18. How "Neuronal" Are Human Skin Mast Cells?International journal of molecular sciences · 2022
    Review
  19. Article
  20. Review
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

6 authors at 1 institution in 1 country.

Srinivas AkulaDepartment of Cell and Molecular Biology, Uppsala University, The Biomedical Center, Box 596, SE-751 24 Uppsala, Sweden.ORCID 0000-0001-6628-1640
Aida PaivandyDepartment of Medical Biochemistry and Microbiology, Uppsala University, The Biomedical Center, Box 589, SE-751 23 Uppsala, Sweden.
Zhirong FuDepartment of Cell and Molecular Biology, Uppsala University, The Biomedical Center, Box 596, SE-751 24 Uppsala, Sweden.
Michael ThorpeDepartment of Cell and Molecular Biology, Uppsala University, The Biomedical Center, Box 596, SE-751 24 Uppsala, Sweden.
Gunnar PejlerDepartment of Medical Biochemistry and Microbiology, Uppsala University, The Biomedical Center, Box 589, SE-751 23 Uppsala, Sweden.
Lars HellmanDepartment of Cell and Molecular Biology, Uppsala University, The Biomedical Center, Box 596, SE-751 24 Uppsala, Sweden.
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone marrow-derived mast cells (BMMCs) are often used as a model system for studies of the role of MCs in health and disease. These cells are relatively easy to obtain from total bone marrow cells by culturing under the influence of IL-3 or stem cell factor (SCF). After 3 to 4 weeks in culture, a nearly homogenous cell population of toluidine blue-positive cells are often obtained. However, the question is how relevant equivalents these cells are to normal tissue MCs. By comparing the total transcriptome of purified peritoneal MCs with BMMCs, here we obtained a comparative view of these cells. We found several important transcripts that were expressed at very high levels in peritoneal MCs, but were almost totally absent from the BMMCs, including the major chymotryptic granule protease Mcpt4, the neurotrophin receptor Gfra2, the substance P receptor Mrgprb2, the metalloprotease Adamts9 and the complement factor 2 (C2). In addition, there were a number of other molecules that were expressed at much higher levels in peritoneal MCs than in BMMCs, including the transcription factors Myb and Meis2, the MilR1 (Allergin), Hdc (Histidine decarboxylase), Tarm1 and the IL-3 receptor alpha chain. We also found many transcripts that were highly expressed in BMMCs but were absent or expressed at low levels in the peritoneal MCs. However, there were also numerous MC-related transcripts that were expressed at similar levels in the two populations of cells, but almost absent in peritoneal macrophages and B cells. These results reveal that the transcriptome of BMMCs shows many similarities, but also many differences to that of tissue MCs. BMMCs can thereby serve as suitable models in many settings concerning the biology of MCs, but our findings also emphasize that great care should be taken when extrapolating findings from BMMCs to the in vivo function of tissue-resident MCs.

Indexed as

TranscriptomeADAMTS9 ProteinAnimalsBiomarkersB-LymphocytesBone Marrow CellsComplement C2FemaleGene Expression RegulationGlial Cell Line-Derived Neurotrophic Factor ReceptorsHistidine DecarboxylaseHomeodomain ProteinsMacrophagesMast CellsMiceMice, Inbred BALB CADAMTS9 ProteinAdamts9 protein, mouseBiomarkersComplement C2Gfra2 protein, mouseGlial Cell Line-Derived Neurotrophic Factor ReceptorsHistidine DecarboxylaseHomeodomain Proteinsmast cell protease 4Milr1 protein, mouseMrg1 protein, mouseMrgprb2 protein, mouseProto-Oncogene Proteins c-mybReceptors, G-Protein-CoupledReceptors, ImmunologicReceptors, Interleukin-3Serine EndopeptidasesTARM1 protein, mousechymaseFcεRIheparinhistaminein vitro modelmast cellmRNAserine proteasetranscriptometryptase

Identifiers

PMID32957735
PMCPMC7564378
OpenAlexW3086910866

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.