Evidence map›Paper›PMID 21257623›Full record

ReviewActa biochimica et biophysica Sinica2011

Protein microarrays for systems biology.

Lina Yang, Shujuan Guo, Yang Li, Shumin Zhou, Shengce Tao

Open access · greenAbstract readReview
In one paragraph

Review in Acta biochimica et biophysica Sinica, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.5field-weighted citation impact, top 4% of its field
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

13 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
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  9. Plasmodium falciparum malaria: proteomic studies.Revista Brasileira de terapia intensiva · 2012
    Article
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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

5 authors at 1 institution in 1 country.

Lina YangShanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China.
Shujuan Guo
Yang Li
Shumin Zhou
Shengce Tao
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systems biology holds the key for understanding biological systems on a system level. It eventually holds the key for the treatment and cure of complex diseases such as cancer, diabetes, obesity, mental disorders, and many others. The '-omics' technologies, such as genomics, transcriptomics, proteomics, and metabonomics, are among the major driving forces of systems biology. Featured as high-throughput, miniaturized, and capable of parallel analysis, protein microarrays have already become an important technology platform for systems biology. In this review, we will focus on the system level or global analysis of biological systems using protein microarrays. Four major types of protein microarrays will be discussed: proteome microarrays, antibody microarrays, reverse-phase protein arrays, and lectin microarrays. We will also discuss the challenges and future directions of protein microarray technologies and their applications for systems biology. We strongly believe that protein microarrays will soon become an indispensable and invaluable tool for systems biology.

Indexed as

AntibodiesHumansImmobilized ProteinsMembrane ProteinsMicroarray AnalysisMicrodissectionMolecular ProbesProtein Array AnalysisProteomeSystems BiologyAntibodiesImmobilized ProteinsMembrane ProteinsMolecular ProbesProteome

Identifiers

PMID21257623
PMCPMC7117600
OpenAlexW2167204608

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.