Evidence map›Paper›PMID 41741362›Full record

ArticleBioinformatics (Oxford, England)2026

CERTOMICS: trusted single-cell multiomics pipeline for high-resolution profiling of adoptive cellular immunotherapies.

Christina Katharina Kuhn, David Schmidt, Michael Rade, Josephine Selke, U Sandy Tretbar, Maximilian Merz, Jan Grau, Kristin Reiche

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Christina Katharina KuhnDepartment of Medical Bioinformatics, Fraunhofer Institute for Cell Therapy and Immunology IZI, Leipzig 04103, Germany.ORCID 0000-0001-6705-9048
David SchmidtDepartment of Medical Bioinformatics, Fraunhofer Institute for Cell Therapy and Immunology IZI, Leipzig 04103, Germany.
Michael RadeDepartment of Medical Bioinformatics, Fraunhofer Institute for Cell Therapy and Immunology IZI, Leipzig 04103, Germany.
Josephine SelkeDepartment of Medical Bioinformatics, Fraunhofer Institute for Cell Therapy and Immunology IZI, Leipzig 04103, Germany.
U Sandy TretbarDepartment of Medical Bioinformatics, Fraunhofer Institute for Cell Therapy and Immunology IZI, Leipzig 04103, Germany.
Maximilian MerzDepartment of Medical Bioinformatics, Fraunhofer Institute for Cell Therapy and Immunology IZI, Leipzig 04103, Germany.
Jan GrauInstitute of Computer Science, Martin Luther University Halle-Wittenberg, Halle (Saale) 06099, Germany.
Kristin ReicheDepartment of Medical Bioinformatics, Fraunhofer Institute for Cell Therapy and Immunology IZI, Leipzig 04103, Germany.ORCID 0000-0002-4452-4872

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
CERTAINTY project funded by the European Union 101136379DAAD 100714512DAAD 57616814EFPIAEuropean Union's Horizon 2020German Federal Ministry of Research, Technology and Space 01KD2512AGerman Federal Ministry of Research, Technology and Space 03ZU2111DCGerman José-Carreras Leukemia Foundation 08 R/2023H.W. & J. Hector Stiftung 2519Innovative Medicine Initiative 2 Joint Undertaking (JU 853988Innovative Medicine Initiative 2 Joint Undertaking (JU 945393JDRF INTERNATIONALNCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

summaryAdoptive cellular immunontherapies, such as chimeric antigen receptor (CAR) T cell therapy, have transformed cancer treatment, yet challenges such as resistance, relapse, and high costs limit their efficacy and accessibility. A comprehensive understanding of cellular heterogeneity and molecular profiles is essential to improve these therapies. Advanced single-cell multiomics technologies have the power to analyze the complex interactions between CAR-engineered cells, immune cells, and tumor cells. However, standardized single-cell multiomics computational pipelines specifically tailored to CAR-engineered cell products are lacking. Due to the synthetic nature of CAR transgenes, additional steps for reliable identification and characterization of CAR-positive cells are required but not included in existing data-processing workflows. To address this, we present CERTOMICS, a Nextflow-based, CAR-aware pipeline offering enhanced CERTainty in immunophenotyping and data interpretation, tailored for single-cell multiOMICSprofiling of adoptive cellular immunotherapies. The pipeline standardizes processing 10x Genomics single-cell multiomics data and integrates CAR-specific identification and quality control. Additionally, a curated repository of CAR construct sequences and annotation data is provided, serving as an extensible resource to support the analysis and development of CAR T cell therapies. AVAILABILITY AND IMPLEMENTATION: Detailed documentation of this pipeline, along with a resource on latest FDA-approved CAR therapies is available on our website: https://fraunhofer-izi.github.io/Living-Drugs-Wiki/. The data underlying this article are available on GitHub at https://github.com/fraunhofer-izi/CERTOMICS. The code is also published on Zenodo at https://doi.org/10.5281/zenodo.18709693.

Indexed as

Immunotherapy, AdoptiveMultiomicsSingle-Cell AnalysisSoftwareHumansReceptors, Chimeric AntigenReceptors, Chimeric Antigen

Identifiers

PMID41741362
PMCPMC13008325

What OpenQuestion holds

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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.