Evidence map›Paper›PMID 27878450›Full record

ArticleProtein & cell2017

Mass spectrometry based proteomics profiling of human monocytes.

Yong Zeng, Fei-Yan Deng, Wei Zhu, Lan Zhang, Hao He, Chao Xu, Qing Tian, Ji-Gang Zhang, Li-Shu Zhang, Hong-Gang Hu and 1 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Protein & cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Yong ZengCollege of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, 100044, China.
Fei-Yan DengCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA.
Wei ZhuCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA.
Lan ZhangCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA.
Hao HeCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA.
Chao XuCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA.
Qing TianCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA.
Ji-Gang ZhangCenter of Bioinformatics and Genomics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, 70112, USA.
Li-Shu ZhangCollege of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, 100044, China.
Hong-Gang HuCollege of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, 100044, China.
Hong-Wen DengCollege of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, 100044, China. hdeng2@tulane.edu.
Tulane University · USBeijing Jiaotong University · CNHunan Normal University · CN

Funding

Epigenomewide DNA Methylation Study for Osteoporosis RiskR01AR059781 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2012 to 2016
$3.1M
Identification of Proteins Important for Male OsteoporosisR01AR057049 · NIAMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI DENG, HONG-WEN · 2009 to 2013
$2.4M
Integration of brain imaging with genomic and epigenomic dataR01MH104680 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI CALHOUN, VINCE D, DENG, HONG-WEN · 2014 to 2017
$2.1M
NIAMS NIH HHS R01 AR057049NIAMS NIH HHS R01 AR059781NIMH NIH HHS R01 MH104680
6 · The paper itself

Abstract

Human monocyte is an important cell type which is involved in various complex human diseases. To better understand the biology of human monocytes and facilitate further studies, we developed the first comprehensive proteome knowledge base specifically for human monocytes by integrating both in vivo and in vitro datasets. The top 2000 expressed genes from in vitro datasets and 779 genes from in vivo experiments were integrated into this study. Altogether, a total of 2237 unique monocyte-expressed genes were cataloged. Biological functions of these monocyte-expressed genes were annotated and classified via Gene Ontology (GO) analysis. Furthermore, by extracting the overlapped genes from in vivo and in vitro datasets, a core gene list including 541 unique genes was generated. Based on the core gene list, further gene-disease associations, pathway and network analyses were performed. Data analyses based on multiple bioinformatics tools produced a large body of biologically meaningful information, and revealed a number of genes such as SAMHD1, G6PD, GPD2 and ENO1, which have been reported to be related to immune response, blood biology, bone remodeling, and cancer respectively. As a unique resource, this study can serve as a reference map for future in-depth research on monocytes biology and monocyte-involved human diseases.

Indexed as

AgedBiomarkers, TumorDNA-Binding ProteinsFemaleGlucosephosphate DehydrogenaseHumansMass SpectrometryMiddle AgedMonocytesMonomeric GTP-Binding ProteinsPhosphopyruvate HydrataseProteomicsSAM Domain and HD Domain-Containing Protein 1Tumor Suppressor ProteinsBiomarkers, TumorDNA-Binding ProteinsENO1 protein, humanGlucosephosphate DehydrogenaseMonomeric GTP-Binding ProteinsPhosphopyruvate HydrataseSAM Domain and HD Domain-Containing Protein 1SAMHD1 protein, humanTumor Suppressor Proteinsgene-disease associationgene ontologyhuman monocytesnetwork analysisproteomics knowledgebase

Identifiers

PMID27878450
PMCPMC5291777
OpenAlexW2557150471

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.