scholarly journals A Combined Metabolomic and Proteomic Study Revealed the Difference in Metabolite and Protein Expression Profiles in Ruminal Tissue From Goats Fed Hay or High-Grain Diets

2019 ◽  
Vol 10 ◽  
Author(s):  
Changzheng Guo ◽  
Daming Sun ◽  
Xinfeng Wang ◽  
Shengyong Mao
Keyword(s):  
Protein Expression ◽  
Expression Profiles ◽  
Proteomic Study ◽  
The Difference ◽  
Protein Expression Profiles

Identification of Pivotal Markers in Vascular Dementia Based on Proteomics Data

2015 ◽  
Vol 39 (5-6) ◽  
pp. 312-320 ◽  
Author(s):  
Chunyan Wang ◽  
Jingkun Zhao ◽  
Ran Xu ◽  
Jiwei Zhao ◽  
Shurong Duan
Keyword(s):  
Protein Expression ◽  
Vascular Dementia ◽  
Expression Profiles ◽  
Ppi Network ◽  
Proteomics Data ◽  
Protein Protein Interaction ◽  
Proteomic Study ◽  
Search Tool ◽  
Protein Expression Profiles ◽  
High Degree

Objective: The aim of this study was to analyze protein expression profiles of vascular dementia (VaD) subjects for investigating the underlying therapeutic markers. Methods: Protein expression profile data were acquired from a quantitative clinical proteomic study, including 10 nondemented elderly controls and 10 age-matched VaD subjects. Differentially expressed proteins (DEPs) were identified between VaD subjects and controls, followed by function prediction using DAVID (Database for Annotation, Visualization, and Integrated Discovery). Then, a protein-protein interaction (PPI) network was constructed by comparing it with the STRING (Search Tool for the Retrieval of Interacting Genes) database, and the pathway crosstalk analysis was conducted based on overlapping PPI network and enriched pathways. Furthermore, the subpathway was screened and analyzed by the iSubpathwayMiner package in R. Results: A total of 144 DEPs were screened from VaD subjects and the controls. They were significantly enriched in many pathways. High-degree proteins were detected in the PPI network, such as ATP5B (ATP synthase subunit β). Furthermore, ‘metabolic pathways' and ‘Alzheimer's disease' were the significant pathways screened in the crosstalk analysis. At last, upregulated proteins were enriched in 2 subpathways of 1 pathway, while downregulated proteins were enriched in 162 subpathways of 36 pathways. Conclusion: By analyzing the differential expressions of proteins, the potential underlying therapeutic markers and mechanism of VaD might be elucidated.

P-652 Protein expression profiles in non-small cell lung cancer. A tissue microarray-based study of 142 cases

Lung Cancer ◽  
2005 ◽  
Vol 49 ◽  
pp. S290 ◽  
Author(s):  
E. Conde ◽  
R. García Luján ◽  
A. López Encuentra ◽  
L. Sánchez ◽  
M. Sánchez-Céspedes ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Protein Expression ◽  
Small Cell Lung Cancer ◽  
Tissue Microarray ◽  
Cell Lung Cancer ◽  
Expression Profiles ◽  
Small Cell ◽  
Small Cell Lung ◽  
Protein Expression Profiles

scholarly journals Brain death induces the alteration of liver protein expression profiles in rabbits

2014 ◽  
Vol 34 (2) ◽  
pp. 578-584 ◽  
Author(s):  
BING DU ◽  
LING LI ◽  
ZHIBIAO ZHONG ◽  
XIAOLI FAN ◽  
BINGBING QIAO ◽  
...  
Keyword(s):  
Protein Expression ◽  
Brain Death ◽  
Expression Profiles ◽  
Liver Protein ◽  
Protein Expression Profiles

Fluoride exposure inhibits protein expression and enzyme activity in the lung-stage larvae ofAscaris suum

Parasitology ◽  
2006 ◽  
Vol 133 (4) ◽  
pp. 497-508 ◽  
Author(s):  
M. K. ISLAM ◽  
T. MIYOSHI ◽  
M. YAMADA ◽  
M. A. ALIM ◽  
X. HUANG ◽  
...  
Keyword(s):  
Protein Expression ◽  
Expression Profiles ◽  
Immunoblot Analysis ◽  
Specific Protein ◽  
Inorganic Pyrophosphatase ◽  
2D Electrophoresis ◽  
Peptide Mass ◽  
Enzyme Families ◽  
Protein Expression Profiles ◽  
Peptide Mass Spectrometry

Sodium fluoride (NaF) is an anion that has been previously shown to block the moulting process ofAscaris suumlarvae. This study describes moulting and development-specific protein expression profiles ofA. suumlung-stage L3 (AsLL3) following NaF exposure. AsLL3s cultured in the presence or absence of NaF were prepared for protein analysis using two-dimensional (2D) electrophoresis. NaF exposure inhibited at least 22 proteins in AsLL3 compared with moulted larvae (i.e. AsLL4). A further comparison of AsLL4 with those of pre-cultured AsLL3 and NaF-exposed AsLL3 revealed 8 stage-specifically and 4 over-expressed proteins. Immunoblot analysis revealed an inhibition by NaF of 19 immunoreactive proteins. Enzyme assay and immunochemical data showed an inhibition of the moulting-specific inorganic pyrophosphatase activity by 41% and a decreased expression in NaF-treated larvae, indicating its significance in the moulting process. A protein spot associated with NaF inhibition was isolated and identified by peptide mass spectrometry and bioinformatics approaches to be a member of 3–hydroxyacyl–CoA dehydrogenase/short-chain dehydrogenase enzyme families. These results have implications for the identification of proteins specific to the moulting process as potential chemotherapeutic targets.

ProteinChip Technology Reveals Distinctive Protein Expression Profiles in the Urine of Bladder Cancer Patients

2005 ◽  
Vol 47 (6) ◽  
pp. 885-894 ◽  
Author(s):  
J. Mueller ◽  
F. von Eggeling ◽  
D. Driesch ◽  
J. Schubert ◽  
C. Melle ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Protein Expression ◽  
Cancer Patients ◽  
Expression Profiles ◽  
Protein Expression Profiles

PATH-29. GLIOBLASTOMA TUMOR CLASSIFICATION BASED ON SPATIAL ANALYSIS OF ONCOGENIC AMPLIFICATIONS AND PROTEIN EXPRESSION

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi121-vi121
Author(s):  
Kacper Walentynowicz ◽  
Dalit Engelhardt ◽  
Shreya Yadav ◽  
Ugoma Onubogu ◽  
Roberto Salatino ◽  
...  
Keyword(s):  
Tumor Microenvironment ◽  
Protein Expression ◽  
Single Cell ◽  
Expression Profiles ◽  
Protein Profiling ◽  
Intratumor Heterogeneity ◽  
Neuronal Markers ◽  
Associated Proteins ◽  
Dual Amplification ◽  
Protein Expression Profiles

Abstract Heterogeneity of glioblastoma (GBM) has been extensively studied in recent years with identification of oncogenic drivers of GBM cellular subtypes. However, little is known about how these cells interact with each other or with the surrounding tumor microenvironment (TME). We employed spatial protein profiling targeting immune and neuronal markers (79 proteins) coupled with single-cell spatial maps of fluorescence in situ hybridization (FISH) for EGFR, CDK4, and PDGFRA on human GBM tissue sections. Several cores from 20 GBM samples were collected to create a tissue microarray, and 96 regions of interests were profiled with 37,844 nuclei for oncogenic amplification screen. Spatial protein profiling identified strong correlation of certain immune markers, TAU-associated proteins, and oligodendrocyte-enriched protein groups and overall high intratumor heterogeneity of TME. Our single-cell quantification of FISH signals showed differences among tumors based on the prevalence of dual amplification of EGFR and CDK4 within a cell relative to single oncogene amplified cells. High relative frequency of dual amplification was associated with increased expression of immune-related markers and decreased expression of EGFR protein. Moreover, this protein expression signature was associated with survival in another GBM dataset. Here, we present spatial genetic analysis at the single cell level coupled with protein expression profiles associated with tumor microenvironment. Our results suggest that assessment of genetic heterogeneity in GBM could potentially drive improved patient stratification and treatment.

Upregulation of PKC genes and isozymes in cardiovascular tissues during early stages of experimental diabetes

2003 ◽  
Vol 12 (2) ◽  
pp. 139-146 ◽  
Author(s):  
Mingzhang Guo ◽  
Mack H. Wu ◽  
Ferenc Korompai ◽  
Sarah Y. Yuan
Keyword(s):  
Protein Expression ◽  
Cardiovascular System ◽  
Time Course ◽  
Experimental Diabetes ◽  
Pathological Condition ◽  
Expression Profiles ◽  
Diabetic Patients ◽  
Mrna Levels ◽  
Early Stages ◽  
Protein Expression Profiles

The protein kinase C (PKC) pathway has recently been recognized as an important mechanism in the development of diabetic complications including cardiomyopathy and angiopathy. Although an increase in PKC kinase activity has been detected in the cardiovascular system of diabetic patients and animals, it is unclear whether the same pathological condition alters PKC at the transcriptional and translational levels. In this study we assessed quantitatively the mRNA and protein expression profiles of PKC isozymes in the heart and vascular tissues from streptozotocin-induced diabetic pigs. Partial regions of the porcine PKCα, β1, and β2 mRNAs were sequenced, and real-time RT-PCR assays were developed for PKC mRNA quantification. The results showed a significant increase in the mRNA levels of PKCα, β1, and β2 in the heart at 4–8 wk of diabetes. In concomitance, the PKCβ1 and β2 genes, but not the PKCα gene, were upregulated in the diabetic aorta. Correspondingly, there was a significant increase in the protein expression of PKCα and β2 in the heart and PKCβ2 in the aorta with a time course correlated to that of mRNA expression. In summary, PKCβ2 was significantly upregulated in the heart and aorta at both the transcriptional and translational levels during early stages of experimental diabetes, suggesting that PKCβ2 may be a prominent target of diabetic injury in the cardiovascular system.

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