Evidence map›Paper›PMID 41575784›Full record

ReviewAnnual review of biophysics2026

Single-Cell Proteomic Technologies: Tools in the Quest for Principles.

Nikolai Slavov

Abstract readReview
In one paragraph

Review in Annual review of biophysics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Nikolai SlavovDepartment of Bioengineering, Department of Biology, Department of Chemistry and Chemical Biology, Single Cell Proteomics Center, and Barnett Institute for Chemical and Biological Analysis, Northeastern University, Boston, Massachusetts, USA; email: nslavov@northeastern.edu.

Funding

Comprehensive and Cell Type-Specific Proteogenomic Profiling of Aberrant and Mis-Processed Proteins in Alzheimer's Disease and Tauopathy ModelsR01AG092460 · NIA · NORTHEASTERN UNIVERSITY · PI Mahlon Collins, BRADLEY T. HYMAN · 2025 to 2026
$1.5M
Molecular and metabolic influences on the activation of monocytes and macrophages at single-cell resolutionR35GM148218 · NIGMS · NORTHEASTERN UNIVERSITY · PI Nikolai Slavov · 2023 to 2026
$1.5M
Collaborative Research: DMS/NIGMS 2: Methods for Systematic Analysis of Post-transcriptional Regulation in Single CellsR01GM144967 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI FRANKS, ALEXANDER, SLAVOV, NIKOLAI · 2021 to 2024
$779k
NIA NIH HHS R01 AG092460NIGMS NIH HHS R01 GM144967NIGMS NIH HHS R35 GM148218
6 · The paper itself

Abstract

Over the last decade, proteomics analysis of single cells by mass spectrometry transitioned from an uncertain possibility to a set of robust and rapidly advancing technologies supporting the accurate quantification of thousands of proteins. We review the major drivers of this progress, from establishing feasibility to powerful and increasingly scalable methods. We focus on the trade-offs and synergies of different technological solutions within a coherent conceptual framework, which projects considerable room both for throughput scaling and for extending the analysis scope to functional protein measurements. We highlight the potential of these technologies to support the development of mechanistic biophysical models and to help uncover new principles.

Indexed as

ProteomicsSingle-Cell AnalysisAnimalsHumansMass SpectrometryProteinsProteinsbiophysical modelscausal inferencemass spectrometrysample preparationsingle-cell proteomicsstatistical inference

Identifiers

PMID41575784
PMCPMC13108667

What Socratic holds

Textmetadata
LicenceTDM
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.