Evidence map›Paper›PMID 41371624›Full record

ReviewAnnual review of analytical chemistry (Palo Alto, Calif.)2026

Single-Cell Protein Assays in Context: From 2D to 3D and In Situ Analysis.

Jocelyn S Baker, Neica I Joseph, Alison Lao, Julea Vlassakis

Abstract readReview
In one paragraph

Review in Annual review of analytical chemistry (Palo Alto, Calif.), 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

4 authors.

Jocelyn S Baker
Neica I Joseph
Alison Lao
Julea VlassakisDepartment of Bioengineering, Rice University, Houston, Texas, USA; email: vlassakis@rice.edu.

Funding

Deep phenotyping of fusion oncoprotein-driven pediatric cancer metastasis with single-cell proteomicsDP2CA290802 · NCI · RICE UNIVERSITY · PI Julea Vlassakis · 2023 to 2026
$2.3M
NCI NIH HHS DP2 CA290802
6 · The paper itself

Abstract

Single-cell proteomics (scP) is a crucial complement to transcriptomics, offering deeper insight into cellular heterogeneity, disease mechanisms, and therapeutic vulnerabilities in samples such as 2D cell culture, 3D models, and patient tissue. While transcriptomics enables high-throughput gene expression characterization, RNA levels frequently do not correlate with protein levels even in the same cell. Furthermore, protein isoforms, posttranslational modifications, and complexes are missed by transcriptomic analyses. This review explores modern scP technologies, including flow and mass cytometry, single-cell mass spectrometry, immunohistochemistry, cyclic imaging, and imaging mass cytometry applied to both dissociated and spatially preserved samples. We emphasize applying these techniques to organ-on-a-chip, organoids, spheroids, and intact tissues, highlighting advances in spatial resolution and multiplexing. We also discuss the trade-offs between throughput, spatial fidelity, and protein selectivity across platforms. Finally, we identify key measurement gaps, suggesting future directions toward spatially resolved scP clinical translation.

Indexed as

ProteinsProteomicsSingle-Cell AnalysisAnimalsHumansMass SpectrometryProteins3D tissue modelscytometryimaging mass spectrometrysample preparationsingle-cell proteomicsspatial proteomics

Identifiers

PMID41371624
PMCPMC13215122

What OpenQuestion 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 OpenQuestion graph.