Evidence map›Paper›PMID 20604711›Full record

ReviewAnnual review of cell and developmental biology2010

A decade of systems biology.

Han-Yu Chuang, Matan Hofree, Trey Ideker

Abstract readReview
In one paragraph

Review in Annual review of cell and developmental biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing 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

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

  1. Pooled it
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  12. Roadmap for a Systems Biology Initiative in Iran.Journal of medical signals and sensors · 2025
    Article
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83 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

3 authors.

Han-Yu ChuangDivision of Medical Genetics, Department of Medicine, University of California, San Diego, La Jolla, California 92093, USA.
Matan Hofree
Trey Ideker

Funding

RESOURCE FOR ANALYSIS, VIZUALIZATION, AND INTEGRATION OF NETWORKS (RAVIN)P41RR031228 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2010 to 2011
$3.0M
NCRR NIH HHS P41 RR031228
6 · The paper itself

Abstract

Systems biology provides a framework for assembling models of biological systems from systematic measurements. Since the field was first introduced a decade ago, considerable progress has been made in technologies for global cell measurement and in computational analyses of these data to map and model cell function. It has also greatly expanded into the translational sciences, with approaches pioneered in yeast now being applied to elucidate human development and disease. Here, we review the state of the field with a focus on four emerging applications of systems biology that are likely to be of particular importance during the decade to follow: (a) pathway-based biomarkers, (b) global genetic interaction maps, (c) systems approaches to identify disease genes, and (d) stem cell systems biology. We also cover recent advances in software tools that allow biologists to explore system-wide models and to formulate new hypotheses. The applications and methods covered in this review provide a set of prime exemplars useful to cell and developmental biologists wishing to apply systems approaches to areas of interest.

Indexed as

Systems BiologyAnimalsGenetic Predisposition to DiseaseGenomicsHumansModels, Biological

Identifiers

PMID20604711
PMCPMC3371392

What OpenQuestion 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 OpenQuestion graph.