Evidence map›Paper›PMID 21327720›Full record

ArticleThe protein journal2011

Proteomic analysis of differentially expressed proteins between stenotic and normal colon segment tissues derived from patients with Hirschsprung's disease.

Hong Gao, Xiaojing He, Mei Wu, Zhibo Zhang, Dajia Wang, Liangying Lv, Zhenwei Su, Ying Huang

Abstract read
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In one paragraph

Article in The protein journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Hong GaoKey Laboratory of Health Ministry for Congenital Malformations, Shengjing Hospital Affiliated to China Medical University, 36 Sanhao Street, 110004 Shenyang, Liaoning Province, China. gaohong515@sina.com
Xiaojing He
Mei Wu
Zhibo Zhang
Dajia Wang
Liangying Lv
Zhenwei Su
Ying Huang
China Medical University · CNGuangdong Province Women and Children Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hirschsprung's disease (HSCR) is the most common identifiable developmental disorder of the enteric nervous system. The present study was designed to analyze the differential proteomic patterns in stenotic colon segment tissues from patients with HSCR. We analyzed 20 paired stenotic and normal colon segment tissues from patients with HSCR, and identified 13 proteins from stenotic segment tissues peptide fingerprint mapping and SELDI MS that were separated using 2-DE. The protein levels of four selected proteins (α-actinin-4, ACTN4; myosin regulatory light chain interacting protein, MYLIP; fatty acid binding protein 7, FABP7; bone morphogenetic protein receptor type 1A, BMPR1A) were further validated by Western blot analysis. This study, investigating for the first time proteomic changes in stenotic colon segment tissues from patients with HSCR, provides potential markers or promising new candidate actors for the pathogenesis of HSCR.

Indexed as

ActininAdolescentAmino Acid SequenceBiomarkersBone Morphogenetic Protein Receptors, Type ICarrier ProteinsChildChild, PreschoolColonConstriction, PathologicFatty Acid-Binding Protein 7Hirschsprung DiseaseHumansInfantMolecular Sequence DataProteomeActininACTN4 protein, humanBiomarkersBMPR1A protein, humanBone Morphogenetic Protein Receptors, Type ICarrier ProteinsFABP7 protein, humanFatty Acid-Binding Protein 7MYLIP protein, humanProteomeTumor Suppressor ProteinsUbiquitin-Protein Ligases

Identifiers

PMID21327720
OpenAlexW2098414435

What OpenQuestion holds

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Registered trials

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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.