Evidence map›Paper›PMID 34986167›Full record

ArticlePLoS biology2022

Learning from natural variation across the proteomes of single cells.

Nikolai Slavov

Abstract read
In one paragraph

Article in PLoS biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
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  5. Review
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  7. Article
  8. Unlocking the Potential of Single-Cell Omics.Journal of proteome research · 2025
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Single-nucleus proteomics identifies regulators of protein transport.bioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Data-Driven Optimization of DIA Mass Spectrometry by DO-MS.bioRxiv : the preprint server for biology · 2023
    Article
  20. 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

1 author.

Nikolai SlavovDepartment of Bioengineering, Northeastern University, Boston, Massachusetts, United States of America.ORCID 0000-0003-2035-1820

Funding

Single-cell proteomic identification of novel markers of senescenceUG3CA268117 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DOU, ZHIXUN, RAJAGOPAL, JAYARAJ · 2021 to 2022
$1.2M
NCI NIH HHS UG3 CA268117
6 · The paper itself

Abstract

Biological functions arise from protein interactions, which are reflected in the natural variation of proteome configurations across individual cells. Emerging single-cell proteomics methods may decode this variation and empower inference of biological mechanisms with minimal assumptions.

Indexed as

Single-Cell AnalysisProteomeProteomicsProteome

Identifiers

PMID34986167
PMCPMC8765665

What OpenQuestion 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 OpenQuestion graph.