Evidence map›Paper›PMID 41717289›Full record

ArticleMolecular therapy. Nucleic acids2026

Single-cell transcriptomics of multi-site cell therapy in osteoarthritis: Tissue-specific treatment correlations.

Paramita Chatterjee, Hazel Y Stevens, Linda E Kippner, Carolyn Yeago, Hicham Drissi, Kenneth Mautner, Scott D Boden, Greg Gibson, Krishnendu Roy

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular therapy. Nucleic acids, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Paramita ChatterjeeMarcus Center for Therapeutic Cell Characterization and Manufacturing, The Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Hazel Y StevensMarcus Center for Therapeutic Cell Characterization and Manufacturing, The Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Linda E KippnerMarcus Center for Therapeutic Cell Characterization and Manufacturing, The Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Carolyn YeagoThe Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Hicham DrissiDepartment of Orthopedics, Emory University School of Medicine, Atlanta, GA 30322, USA.
Kenneth MautnerDepartment of Orthopedics, Emory University School of Medicine, Atlanta, GA 30322, USA.
Scott D BodenDepartment of Orthopedics, Emory University School of Medicine, Atlanta, GA 30322, USA.
Greg GibsonSchool of Biological Sciences, Georgia Institute of Technology, Atlanta GA 30332, USA.
Krishnendu RoyMarcus Center for Therapeutic Cell Characterization and Manufacturing, The Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knee-osteoarthritis (knee OA) is a prevalent joint disorder lacking Food and Drug Administration-approved cell therapies to halt progression. This study uses single-cell RNA sequencing to analyze bone marrow aspirate concentrate (BMAC) and stromal vascular fraction (SVF) samples in a clinical trial of autologous cell therapies. Trial site-specific variability was significant in BMAC, necessitating tailored normalization, whereas SVF was less affected, likely due to uniform subcutaneous fat sampling. Variance partitioning and tensor decomposition identified site effects in BMAC but revealed shared pathways across cell types in both tissues. Differential gene expression (DEG) analysis between responders and non-responders yielded no significant findings, although likelihood ratio test (LRT) revealed enrichment for DEG patterns linked to disease severity, potentially masked by patient heterogeneity. Key BMAC pathways included oxidative phosphorylation, unfolded protein response, and tumor necrosis factor alpha (

Indexed as

autologous cell therapyBMACbone marrow aspirate concentratecell–cell communicationdifferential gene expressionlikelihood ratio testsLRTmesenchymal stromal cellsMSCMT: Clinical Applicationsosteoarthritispatient heterogeneityscRNA-seqsingle-cell RNA sequencingstromal vascular fractionSVF

Identifiers

PMID41717289
PMCPMC12914540

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.