Evidence map›Paper›PMID 28935874›Full record

ArticleScientific reports2017

Concordant and discordant gene expression patterns in mouse strains identify best-fit animal model for human tuberculosis.

Teresa Domaszewska, Lisa Scheuermann, Karin Hahnke, Hans Mollenkopf, Anca Dorhoi, Stefan H E Kaufmann, January Weiner

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

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  3. bioRxiv : the preprint server for biology · 2025
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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.

Teresa DomaszewskaMax Planck Institute for Infection Biology, Department of Immunology, Charitéplatz 1, D-10117, Berlin, Germany.
Lisa ScheuermannMax Planck Institute for Infection Biology, Department of Immunology, Charitéplatz 1, D-10117, Berlin, Germany.
Karin HahnkeMax Planck Institute for Infection Biology, Department of Immunology, Charitéplatz 1, D-10117, Berlin, Germany.
Hans MollenkopfMax Planck Institute for Infection Biology, Department of Immunology, Charitéplatz 1, D-10117, Berlin, Germany.
Anca DorhoiMax Planck Institute for Infection Biology, Department of Immunology, Charitéplatz 1, D-10117, Berlin, Germany.
Stefan H E KaufmannMax Planck Institute for Infection Biology, Department of Immunology, Charitéplatz 1, D-10117, Berlin, Germany. kaufmann@mpiib-berlin.mpg.de.
January WeinerMax Planck Institute for Infection Biology, Department of Immunology, Charitéplatz 1, D-10117, Berlin, Germany. weiner@mpiib-berlin.mpg.de.

Funding

NIAID NIH HHS HHSN272200800059C
6 · The paper itself

Abstract

Immunity in infection, inflammation and malignancy differs markedly in man and mouse. Still, we learn about human immunity in large extent from experimental mouse models. We propose a novel data integration approach which identifies concordant and discordant gene expression patterns of the immune responses in heterologous data sets. We have conducted experiments to compare human and murine transcriptional responses to Mycobacterium tuberculosis (Mtb) infection in whole blood (WB) as well as macrophages and compared them with simulated as well as publicly available data. Our results indicate profound differences between patterns of gene expression in innate and adaptive immunity in man and mouse upon Mtb infection. We characterized differential expression of T-cell related genes corresponding to the differences in phenotype between tuberculosis (TB) highly and low susceptible mouse strains. Our approach is general and facilitates the choice of optimal animal model for studies of the human immune response to a particular disease.

Indexed as

Disease Models, AnimalAdaptive ImmunityAnimalsB-LymphocytesGene Expression ProfilingHumansImmunity, InnateMacrophagesMice, 129 StrainMice, Inbred C57BLMycobacterium tuberculosisSpecies SpecificityTHP-1 CellsT-LymphocytesTuberculosis

Identifiers

PMID28935874
PMCPMC5608750

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.