Evidence map›Paper›PMID 21120503›Full record

ArticleRheumatology international2012

Comparative proteome analysis of peripheral blood mononuclear cells in systemic lupus erythematosus with iTRAQ quantitative proteomics.

Linqian Wang, Yong Dai, Suwen Qi, Baodong Sun, Jinli Wen, Li Zhang, Zhiguang Tu

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Rheumatology international, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
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  11. Diagnostic and prognostic tests in systemic lupus erythematosus.Best practice & research. Clinical rheumatology · 2017
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  18. Systemic lupus erythematosus diagnostics in the 'omics' era.International journal of clinical rheumatology · 2013
    Article
  19. Review
  20. Article
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

7 authors.

Linqian WangKey laboratory of Laboratory Medical Diagnostics, Ministry of Education, Chongqing Medical University, 1 Yi Xue Yuan Road, Chongqing 400016, People's Republic of China.
Yong Dai
Suwen Qi
Baodong Sun
Jinli Wen
Li Zhang
Zhiguang Tu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify and quantify protein profiles from peripheral blood mononuclear cells (PBMC) of systemic lupus erythematosus (SLE) patients with isobaric Tagging for Relative and Absolute protein Quantification (iTRAQ)-based proteomic technology and to find differentially expressed proteins in SLE. PBMC were collected from patients of six stable SLE, six active SLE, six rheumatoid arthritis (RA), and six healthy donors. After protein extraction and concentration, the pooled protein content was labeled with iTRAQ reagents and then subjected to multiple chromatographic fractionation and tandem mass spectrometry. ProteinPilot™ 3.0 software and a database of IPI (International Protein Index) human 3.62 were used for database searching and statistical analysis. A total of 452 proteins were identified. Of these, 67 unique proteins were observed twofold or more alteration in levels across groups. The proteins determined support existing knowledge and uncover novel biomarker candidates. These results indicate that iTRAQ-based technology can serve as a useful aid for identification and quantification proteins from PBMC.

Indexed as

AdultBiomarkersChromatography, High Pressure LiquidFemaleHumansLeukocytes, MononuclearLupus Erythematosus, SystemicMaleMiddle AgedProteinsProteomeProteomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStaining and LabelingTandem Mass SpectrometryYoung AdultBiomarkersProteinsProteome

Identifiers

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.