Evidence map›Paper›PMID 23341914›Full record

ArticlePloS one2013

Transcriptional profiling of human dendritic cell populations and models--unique profiles of in vitro dendritic cells and implications on functionality and applicability.

Kristina Lundberg, Ann-Sofie Albrekt, Inge Nelissen, Saskia Santegoets, Tanja D de Gruijl, Sue Gibbs, Malin Lindstedt

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

52 citing papers in PubMed, 97 citations in OpenAlex.

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  15. C-Type Lectin Receptors in Host Defense Against Bacterial Pathogens.Frontiers in cellular and infection microbiology · 2020
    Review
  16. Removal of Mannose-Ending Glycan at AsnFrontiers in immunology · 2020
    Article
  17. Article
  18. Transcriptional Profiling of Age-Associated Gene Expression Changes in Human Circulatory CD1c+ Myeloid Dendritic Cell Subset.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Article
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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

7 authors at 4 institutions in 3 countries.

Kristina LundbergDepartment of Immunotechnology, Lund University, Lund, Sweden. kristina.lundberg@immun.lth.se
Ann-Sofie Albrekt
Inge Nelissen
Saskia Santegoets
Tanja D de Gruijl
Sue Gibbs
Malin Lindstedt
Amsterdam UMC Location VUmc · NLLund University · SEFlemish Institute for Technological Research · BEMedicon Village · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDendritic cells (DCs) comprise heterogeneous populations of cells, which act as central orchestrators of the immune response. Applicability of primary DCs is restricted due to their scarcity and therefore DC models are commonly employed in DC-based immunotherapy strategies and in vitro tests assessing DC function. However, the interrelationship between the individual in vitro DC models and their relative resemblance to specific primary DC populations remain elusive.

objectiveTo describe and assess functionality and applicability of the available in vitro DC models by using a genome-wide transcriptional approach.

methodsTranscriptional profiling was performed with four commonly used in vitro DC models (MUTZ-3-DCs, monocyte-derived DCs, CD34-derived DCs and Langerhans cells (LCs)) and nine primary DC populations (dermal DCs, LCs, blood and tonsillar CD123(+), CD1c(+) and CD141(+) DCs, and blood CD16(+) DCs).

resultsPrincipal Component Analysis showed that transcriptional profiles of each in vitro DC model most closely resembled CD1c(+) and CD141(+) tonsillar myeloid DCs (mDCs) among primary DC populations. Thus, additional differentiation factors may be required to generate model DCs that more closely resemble other primary DC populations. Also, no model DC stood out in terms of primary DC resemblance. Nevertheless, hierarchical clustering showed clusters of differentially expressed genes among individual DC models as well as primary DC populations. Furthermore, model DCs were shown to differentially express immunologically relevant transcripts and transcriptional signatures identified for each model DC included several immune-associated transcripts.

conclusionThe unique transcriptional profiles of in vitro DC models suggest distinct functionality in immune applications. The presented results will aid in the selection of an appropriate DC model for in vitro assays and assist development of DC-based immunotherapy.

Indexed as

Gene Expression ProfilingModels, ImmunologicalCluster AnalysisDendritic CellsGene Expression RegulationHumansImmune System DiseasesImmunologic TestsPalatine TonsilPhenotypeRNA, MessengerSkinRNA, Messenger

Identifiers

PMID23341914
PMCPMC3544800
OpenAlexW2137854382

What OpenQuestion holds

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LicenceCC BY
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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.