Evidence map›Paper›PMID 35063071›Full record

ArticleCell2022

Counting protein molecules for single-cell proteomics.

Nikolai Slavov

Abstract readComment
In one paragraph

Article in Cell, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Ten "Cheat Codes" for Measuring Oxidative Stress in Humans.Antioxidants (Basel, Switzerland) · 2024
    Review
  8. Article
  9. Article
  10. Recent methodological advances towards single-cell proteomics.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2023
    Review
  11. High sensitivity top-down proteomics captures single muscle cell heterogeneity in large proteoforms.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Specialized Ribosomes in Health and Disease.International journal of molecular sciences · 2023
    Review
  13. Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Nikolai SlavovDepartment of Bioengineering, Northeastern University, Boston, Massachusetts 02115, United States; Barnett Institute, Northeastern University, Boston, Massachusetts 02115, United States. Electronic address: nslavov@northeastern.edu.

Funding

Single-cell proteomic identification of novel markers of senescenceUG3CA268117 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DOU, ZHIXUN, RAJAGOPAL, JAYARAJ · 2021 to 2022
$1.2M
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
NCI NIH HHS UG3 CA268117NIGMS NIH HHS R01 GM144967
6 · The paper itself

Abstract

Technologies for counting protein molecules are enabling single-cell proteomics at increasing depth and scale. New advances in single-molecule methods by Brinkerhoff and colleagues promise to further increase the sensitivity of protein analysis and motivate questions about scaling up the counting of the human proteome.

Indexed as

ProteomeProteomicsHumansNanotechnologyProteome

Identifiers

PMID35063071
PMCPMC8855622

What OpenQuestion holds

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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 OpenQuestion graph.