Auto-antibodies in prostate cancer: Humoral immune response to antigenic determinants coded by the differentially expressed transcripts FLJ23438 and VAMP3

The Prostate ◽  
2006 ◽  
Vol 66 (14) ◽  
pp. 1463-1473 ◽  
Author(s):  
E.R. Pontes ◽  
L.C. Matos ◽  
E.A. da Silva ◽  
L.S. Xavier ◽  
B.L. Diaz ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Immune Response ◽  
Humoral Immune Response ◽  
Differentially Expressed ◽  
Antigenic Determinants ◽  
Humoral Immune

scholarly journals Common Factors in Neurodegeneration: A Meta-Study Revealing Shared Patterns on a Multi-Omics Scale

Cells ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2642
Author(s):  
Nicolas Ruffini ◽  
Susanne Klingenberg ◽  
Susann Schweiger ◽  
Susanne Gerber
Keyword(s):  
Immune Response ◽  
Amyotrophic Lateral Sclerosis ◽  
Neurodegenerative Diseases ◽  
Huntington's Disease ◽  
Humoral Immune Response ◽  
Differentially Expressed ◽  
Humoral Immune ◽  
Proteomic Data ◽  
Go Terms ◽  
Lateral Sclerosis

Neurodegenerative diseases such as Alzheimer’s disease (AD), Parkinson’s disease (PD), Huntington’s disease (HD), and amyotrophic lateral sclerosis (ALS) are heterogeneous, progressive diseases with frequently overlapping symptoms characterized by a loss of neurons. Studies have suggested relations between neurodegenerative diseases for many years (e.g., regarding the aggregation of toxic proteins or triggering endogenous cell death pathways). We gathered publicly available genomic, transcriptomic, and proteomic data from 177 studies and more than one million patients to detect shared genetic patterns between the neurodegenerative diseases on three analyzed omics-layers. The results show a remarkably high number of shared differentially expressed genes between the transcriptomic and proteomic levels for all conditions, while showing a significant relation between genomic and proteomic data between AD and PD and AD and ALS. We identified a set of 139 genes being differentially expressed in several transcriptomic experiments of all four diseases. These 139 genes showed overrepresented gene ontology (GO) Terms involved in the development of neurodegeneration, such as response to heat and hypoxia, positive regulation of cytokines and angiogenesis, and RNA catabolic process. Furthermore, the four analyzed neurodegenerative diseases (NDDs) were clustered by their mean direction of regulation throughout all transcriptomic studies for this set of 139 genes, with the closest relation regarding this common gene set seen between AD and HD. GO-Term and pathway analysis of the proteomic overlap led to biological processes (BPs), related to protein folding and humoral immune response. Taken together, we could confirm the existence of many relations between Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, and amyotrophic lateral sclerosis on transcriptomic and proteomic levels by analyzing the pathways and GO-Terms arising in these intersections. The significance of the connection and the striking relation of the results to processes leading to neurodegeneration between the transcriptomic and proteomic data for all four analyzed neurodegenerative diseases showed that exploring many studies simultaneously, including multiple omics-layers of different neurodegenerative diseases simultaneously, holds new relevant insights that do not emerge from analyzing these data separately. Furthermore, the results shed light on processes like the humoral immune response that have previously been described only for certain diseases. Our data therefore suggest human patients with neurodegenerative diseases should be addressed as complex biological systems by integrating multiple underlying data sources.

scholarly journals Humoral Immune Response to  -Methylacyl-CoA Racemase and Prostate Cancer

2004 ◽  
Vol 96 (11) ◽  
pp. 834-843 ◽  
Author(s):  
A. Sreekumar ◽  
B. Laxman ◽  
D. R. Rhodes ◽  
S. Bhagavathula ◽  
J. Harwood ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Immune Response ◽  
Humoral Immune Response ◽  
Humoral Immune

Preferential humoral immune response in prostate cancer to cellular proteins p90 and p62 in a panel of tumor-associated antigens

The Prostate ◽  
2005 ◽  
Vol 63 (3) ◽  
pp. 252-258 ◽  
Author(s):  
Fu-Dong Shi ◽  
Jian-Ying Zhang ◽  
Daorong Liu ◽  
Ann Rearden ◽  
Max Elliot ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Immune Response ◽  
Humoral Immune Response ◽  
Cellular Proteins ◽  
Tumor Associated Antigens ◽  
Humoral Immune

Role of Yersinia pseudotuberculosis outer proteins (Yops) in murine humoral immune response

2009 ◽  
Vol 54 (3) ◽  
pp. 239-245 ◽  
Author(s):  
J. M. L. Maia ◽  
L. G. S. Monnazzi ◽  
B. M. M. Medeiros
Keyword(s):  
Immune Response ◽  
Humoral Immune Response ◽  
Yersinia Pseudotuberculosis ◽  
Humoral Immune

scholarly journals Diagnostic and analytical performance evaluation of ten commercial assays for detecting SARS-CoV-2 humoral immune response

2021 ◽  
pp. 113043
Author(s):  
Marnix Mylemans ◽  
Eveline Van Honacker ◽  
Louis Nevejan ◽  
Stefanie van den Bremt ◽  
Laura Hofman ◽  
...  
Keyword(s):  
Immune Response ◽  
Performance Evaluation ◽  
Humoral Immune Response ◽  
Analytical Performance ◽  
Humoral Immune
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