Evidence map›Paper›PMID 42201114›Full record

ArticleProteomes2026

What Are the Practical Applications of Single-Cell Proteomics?

Benjamin C Orsburn

Abstract read
In one paragraph

Article in Proteomes, 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

1 author.

Benjamin C OrsburnOrgan Pathobiology and Therapeutics Institute, The University of Pittsburgh, Pittsburgh, PA 15206, USA.ORCID 0000-0002-0774-3750

Funding

National Instute of Health R01AG064908
6 · The paper itself

Abstract

Single-cell proteomics (SCP) is an exciting new field of study with developments in the areas of sample preparation, instrumentation and informatics. SCP has captured the imagination of biologists and clinicians and the critical interest of both academic and commercial mass-spectrometry groups. Currently (i.e., at the time this manuscript was written), SCP is still difficult and slow relative to competing single-cell technologies. What SCP may lose in relative throughput, it trades for direct analysis of protein and proteoforms, albeit with biases toward those of the highest relative concentration in each cell. These strengths may not make SCP the technology of choice for every study. This perspective is intended to identify current and future biological or clinical areas where SCP has or could have the greatest potential to advance human health and knowledge. I will also discuss applications where SCP would be less impactful than other technologies and where SCP, when mature, could play a true role in clinical diagnostics.

Indexed as

low input diagnosticssingle-cell proteomicssingle-cell technologiessingle-cell transcriptomicsspatial proteomics

Identifiers

PMID42201114
PMCPMC13214783

What OpenQuestion holds

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LicenceCC BY
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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.