Evidence map›Paper›PMID 38981598›Full record

ReviewJournal of proteome research2025

Are We There Yet? Assessing the Readiness of Single-Cell Proteomics to Answer Biological Hypotheses.

Alyssa A Nitz, Jose Humberto Giraldez Chavez, Zachary G Eliason, Samuel H Payne

Abstract readReview
In one paragraph

Review in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Classification with Missing Data - AbioRxiv : the preprint server for biology · 2026
    Article
  6. Review
  7. Review
  8. 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

4 authors.

Alyssa A NitzBiology Department, Brigham Young University, Provo, Utah 84602, United States.
Jose Humberto Giraldez ChavezBiology Department, Brigham Young University, Provo, Utah 84602, United States.
Zachary G EliasonBiology Department, Brigham Young University, Provo, Utah 84602, United States.
Samuel H PayneBiology Department, Brigham Young University, Provo, Utah 84602, United States.ORCID 0000-0002-8351-1994

Funding

Enhanced Sensitivity and Quantitative Precision for Single Cell ProteomicsR01GM147653 · NIGMS · BRIGHAM YOUNG UNIVERSITY · PI PAYNE, SAMUEL H, SHORTREED, MICHAEL R · 2022 to 2025
$1.6M
NIGMS NIH HHS R01 GM147653
6 · The paper itself

Abstract

Single-cell analysis is an active area of research in many fields of biology. Measurements at single-cell resolution allow researchers to study diverse populations without losing biologically meaningful information to sample averages. Many technologies have been used to study single cells, including mass spectrometry-based single-cell proteomics (SCP). SCP has seen a lot of growth over the past couple of years through improvements in data acquisition and analysis, leading to greater proteomic depth. Because method development has been the main focus in SCP, biological applications have been sprinkled in only as proof-of-concept. However, SCP methods now provide significant coverage of the proteome and have been implemented in many laboratories. Thus, a primary question to address in our community is whether the current state of technology is ready for widespread adoption for biological inquiry. In this Perspective, we examine the potential for SCP in three thematic areas of biological investigation: cell annotation, developmental trajectories, and spatial mapping. We identify that the primary limitation of SCP is sample throughput. As proteome depth has been the primary target for method development to date, we advocate for a change in focus to facilitate measuring tens of thousands of single-cell proteomes to enable biological applications beyond proof-of-concept.

Indexed as

ProteomeProteomicsSingle-Cell AnalysisAnimalsHumansMass SpectrometryProteomealgorithmsexperimental designsingle-cell proteomicsstatistical rigor

Identifiers

PMID38981598
PMCPMC11976870

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.