Evidence map›Paper›PMID 20622844›Full record

ReviewNature biotechnology2010

Proteomics: a pragmatic perspective.

Parag Mallick, Bernhard Kuster

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 138 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
138citing 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

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

  1. Pooled it
  2. Article
  3. Designing lysate-based hydrogels for on-demand therapy.Journal of pharmaceutical analysis · 2026
    Review
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78 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

2 authors.

Parag MallickUniversity of Southern California Center for Applied Molecular Medicine, Departments of Medicine and Biomedical Engineering, Los Angeles, California, USA. mallick@usc.edu
Bernhard Kuster

Funding

Stanford Nanocharacterization LaboratoryU54CA119367 · NCI · STANFORD UNIVERSITY · PI GAMBHIR, SANJIV S · 2006 to 2010
$19.8M
TRANS-NETWORK PROJECTSU54CA143907 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NOLAN, GARRY P · 2009 to 2013
$15.2M
NCI NIH HHS 1U54CA143907NCI NIH HHS U54CA119367
6 · The paper itself

Abstract

The evolution of mass spectrometry-based proteomic technologies has advanced our understanding of the complex and dynamic nature of proteomes while concurrently revealing that no 'one-size-fits-all' proteomic strategy can be used to address all biological questions. Whereas some techniques, such as those for analyzing protein complexes, have matured and are broadly applied with great success, others, such as global quantitative protein expression profiling for biomarker discovery, are still confined to a few expert laboratories. In this Perspective, we attempt to distill the wide array of conceivable proteomic approaches into a compact canon of techniques suited to asking and answering specific types of biological questions. By discussing the relationship between the complexity of a biological sample and the difficulty of implementing the appropriate analysis approach, we contrast areas of proteomics broadly usable today with those that require significant technical and conceptual development. We hope to provide nonexperts with a guide for calibrating expectations of what can realistically be learned from a proteomics experiment and for gauging the planning and execution effort. We further provide a detailed supplement explaining the most common techniques in proteomics.

Indexed as

ProteomicsCells, CulturedGene Expression ProfilingHumansOrganellesSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Identifiers

PMID20622844

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.