Evidence map›Paper›PMID 24889604›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Visual account of protein investment in cellular functions.

Wolfram Liebermeister, Elad Noor, Avi Flamholz, Dan Davidi, Jörg Bernhardt, Ron Milo

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 240 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
240citing papers in PubMed, 2 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

240 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Abiotic Stress in Crop Production.International journal of molecular sciences · 2023
    Pooled it
  2. Pooled it
  3. International journal of molecular sciences · 2021
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  14. Increased activation of ErbB and NF-κB signalling pathways in Darier disease affected skin.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
    Article
  15. Heterologous expression ofEngineering microbiology · 2026
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180 more citing papers are in PubMed but not listed here.

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

6 authors.

Wolfram LiebermeisterInstitut für Biochemie, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany;Department of Plant Sciences, Weizmann Institute of Science, Rehovot 76100, Israel;
Elad NoorDepartment of Plant Sciences, Weizmann Institute of Science, Rehovot 76100, Israel;
Avi FlamholzDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720; and.
Dan DavidiDepartment of Plant Sciences, Weizmann Institute of Science, Rehovot 76100, Israel;
Jörg BernhardtInstitute for Microbiology, Greifswald University, 17487 Greifswald, Germany ron.milo@weizmann.ac.il Joerg.Bernhardt@uni-greifswald.de.
Ron MiloDepartment of Plant Sciences, Weizmann Institute of Science, Rehovot 76100, Israel; ron.milo@weizmann.ac.il Joerg.Bernhardt@uni-greifswald.de.

Funding

European Research Council 260392
6 · The paper itself

Abstract

Proteomics techniques generate an avalanche of data and promise to satisfy biologists' long-held desire to measure absolute protein abundances on a genome-wide scale. However, can this knowledge be translated into a clearer picture of how cells invest their protein resources? This article aims to give a broad perspective on the composition of proteomes as gleaned from recent quantitative proteomics studies. We describe proteomaps, an approach for visualizing the composition of proteomes with a focus on protein abundances and functions. In proteomaps, each protein is shown as a polygon-shaped tile, with an area representing protein abundance. Functionally related proteins appear in adjacent regions. General trends in proteomes, such as the dominance of metabolism and protein production, become easily visible. We make interactive visualizations of published proteome datasets accessible at www.proteomaps.net. We suggest that evaluating the way protein resources are allocated by various organisms and cell types in different conditions will sharpen our understanding of how and why cells regulate the composition of their proteomes.

Indexed as

Signal TransductionDatabases, ProteinEscherichia coliHumansInternetModels, BiologicalMycoplasma pneumoniaeProteinsProteomeProteomicsSaccharomyces cerevisiaeSpecies SpecificityProteinsProteomecell resource allocationcellular economyfunctional classificationmass spectrometryVoronoi treemap

Identifiers

PMID24889604
PMCPMC4060655

What OpenQuestion holds

Textmetadata
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.