Evidence map›Paper›PMID 41676457›Full record

ArticlebioRxiv : the preprint server for biology2026

Molecular pixelation of the CAR T cell surface proteome.

Anthony Cesnik, Oliver Takacsi-Nagy, Trang Le, Theodore L Roth, Ansuman T Satpathy, Emma Lundberg

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

6 authors.

Anthony CesnikBioengineering Department, Stanford University, Stanford, CA, USA.ORCID 0000-0002-5326-7134
Oliver Takacsi-NagyDepartment of Pathology, Stanford University, Stanford, CA, USA.
Trang LeBioengineering Department, Stanford University, Stanford, CA, USA.
Theodore L RothDepartment of Pathology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-3970-9573
Ansuman T SatpathyDepartment of Pathology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-5167-537X
Emma LundbergBioengineering Department, Stanford University, Stanford, CA, USA.ORCID 0000-0001-7034-0850

Funding

4DN Interrogation of T Cell Exhaustion in CancerU01CA260852 · NCI · STANFORD UNIVERSITY · PI SATPATHY, ANSUMAN · 2020 to 2024
$2.6M
NCI NIH HHS U01 CA260852
6 · The paper itself

Abstract

Immunotherapies using CAR T cells are revolutionizing B-cell acute lymphoblastic leukemia treatments. However, the majority of patients remain unresponsive, and chronic stimulation of T cells is a common contributor that reduces effector function and persistence. We apply Molecular Pixelation, a recently developed single-cell technology for characterizing cellular surface proteomes, to determine characteristic topological surface-based proteomic signatures of CAR T cell exhaustion. We analyze 76 surface proteins on 8504 CAR T cells at a single-cell level, collected from three donors and either stimulated once or repeatedly, six times over two weeks. The abundances, polarizations, and colocalizations of surface proteins can each distinguish CAR T cells that were stimulated acutely or chronically, and all but one marker with polarization changes increased in polarization. These data also reveal disrupted adhesion signatures of protein colocalization in the peripheral supramolecular activation complex (pSMAC) and increased CD37/CD82 colocalization after chronic stimulation. These Molecular Pixelation results convey new spatial signatures for proteomic polarization and colocalization on the cell surface that represent new cell-state axes for immunology and systems biology.

Identifiers

PMID41676457
PMCPMC12889555

What Socratic 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 Socratic graph.