Level D· Scientific groundwork from lab and animal studiesAnimal StudyEurope PMCOpen access

scParadise: tunable, highly accurate multi-level cell type annotation, unknown cell type identification, and modality imputation

Chechekhina E., Shcherbakova L., Vigovskiy M., Tukhvatulin A., Logunov D., Tychinin D.

Animal Study on Chronic Inflammation, published in Nucleic Acids Res (2026) — summary generated from the PubMed abstract.

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Level D· Scientific groundwork from lab and animal studiesEvidence level of this study

Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.

  • Level A · Stronger Clinical Evidence
  • Level B · Emerging clinical evidence with positive signals
  • Level C · Early human research exploring benefits
  • Level D · Scientific groundwork from lab and animal studies
  • Emerging · Emerging topic under active research
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This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.

Study type
Animal Study
Journal
Nucleic Acids Res (2026)
Reported sample size
—
Source database
Europe PMC
PMID
42312491
PMCID
PMC13276494
DOI
10.1093/nar/gkag612

Abstract (original English)

In single-cell biology, the main limitation has shifted from data generation to converting sparse, heterogeneous single-cell RNA sequencing (scRNA-seq) datasets into accurate cell types, interpretable multi-omic states, and reproducible conclusions. To address these challenges, we present scParadise, which transforms scRNA-seq data to a new scientific knowledge. scParadise comprises three integrated tools: scAdam, a multi-level cell type annotation tool with unknown cell type identification; scEve, a cross-tissue modality imputation tool; and scNoah, a standardized benchmarking tool. Using scParadise, we corrected annotation mistakes in the Tabula Muris Senis atlas, showing that cells labeled as granulocytes are exclusively neutrophils and that presumably annotated macrophages actually represent a range of different cell types. Moreover, we identify three previously unknown natural killer T (NKT) cell subsets by imputing protein expression across tissues, which include CD56dim CD3+, CD56dim CD3+ CD4+, and CD56dim CD3+ CD8+ cell subsets in human visceral adipose tissue, which we verify by flow cytometry. These new subsets engage in obesity-related tumor necrosis factor-centric crosstalk with myeloid and adipose progenitors, thereby illuminating a new paradigm for immune-stromal interactions that contribute to chronic inflammation and impaired adipogenesis.

What this study does not prove

  • • This study does not prove SVF is an approved treatment or a replacement for standard care.
  • • This is preclinical work; animal or laboratory results cannot be applied to humans.

Evidence level

Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.

How we grade evidence
NeutrophilsMacrophagesAnimalsHumansSoftwareMolecular Sequence AnnotationSingle-Cell Gene Expression Analysis

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