Evidence map›Paper›PMID 41459534›Full record

ArticleFrontiers in immunology2025

Deep learning-aided inter-species-comparison reveals shared and distinct molecular patterns in cynomolgus monkey and humans following non-specific T cell activation.

Vincent D Friedrich, Kari Neier, Kristina Müller, Birgit Fogal, Zuzana Loncova, Michael Rade, Muhammad Shoaib, Ulrike Köhl, Kathleen Hoyt, Parimal Pande and 5 more

Abstract readComparative Study
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Vincent D FriedrichInstitute for Medical Informatics, Statistics, and Epidemiology, University of Leipzig, Leipzig, Germany.
Kari NeierBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield CT, United States.
Kristina MüllerInstitute for Medical Informatics, Statistics, and Epidemiology, University of Leipzig, Leipzig, Germany.
Birgit FogalBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield CT, United States.
Zuzana LoncovaBiocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria.
Michael RadeFraunhofer Institute for Cell Therapy and Immunology, Leipzig, Germany.
Muhammad ShoaibLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, Luxembourg.
Ulrike KöhlCenter for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig, Germany.
Kathleen HoytBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield CT, United States.
Parimal PandeBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield CT, United States.
Lily BlanchardBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield CT, United States.
Ernest RaymondBoehringer Ingelheim Pharmaceuticals, Inc., Ridgefield CT, United States.
Markus ScholzInstitute for Medical Informatics, Statistics, and Epidemiology, University of Leipzig, Leipzig, Germany.
Kristin ReicheCenter for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig, Germany.
Holger KirstenInstitute for Medical Informatics, Statistics, and Epidemiology, University of Leipzig, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The early phase of drug development relies on the examination of the efficacy and safety of therapeutic agents in animal models. Due to their close genetic and physiological relation to humans, cynomolgus monkeys (

Indexed as

Deep LearningLymphocyte ActivationT-LymphocytesTranscriptomeAnimalsGene Expression ProfilingHumansLeukocytes, MononuclearMacaca fascicularisSingle-Cell AnalysisSpecies Specificitycross-species analysiscynomolgus monkeydeep learninghumanimmune responsePBMCScRNA-seqtranslational gap

Identifiers

PMID41459534
PMCPMC12741143

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.