Creating a Human Brain Proteome Atlas - 13th HUPO BPP Workshop March 30-31, 2010, Ochang, Korea

PROTEOMICS ◽  
2011 ◽  
Vol 11 (14) ◽  
pp. 2759-2762
Author(s):  
Bernd Gröttrup ◽  
Christian Stephan ◽  
Katrin Marcus ◽  
Lea T. Grinberg ◽  
Jens Wiltfang ◽  
...  
Keyword(s):  
2016 ◽  
Vol 10 (12) ◽  
pp. 1147-1147 ◽  
Author(s):  
Renã A. S. Robinson ◽  
Melanie Föcking ◽  
Daniel Martins-de-Souza

2021 ◽  
Author(s):  
Chun'e Li ◽  
Xiao Liang ◽  
Yumeng Jia ◽  
Yan Wen ◽  
Huijie Zhang ◽  
...  

Abstract Background Increasing evidence suggests the association between caffeine and the brain and nervous system. However, there is limited research on the genetic associations between coffee consumption subtypes and brain proteome, plasma proteomes, and peripheral metabolites. Methods First, proteome-wide association study (PWAS) of coffee consumption subtypes was performed by integrating two independent genome-wide association study (GWAS) datasets (91,462–502,650 subjects) with two reference human brain proteomes (ROS/MAP and Banner), by using the FUSION pipeline. Second, transcriptome-wide association study (TWAS) analysis of coffee consumption subtypes was conducted by integrating the two gene expression weight references (RNAseq and splicing) of brain RNA-seq and the two GWAS datasets (91,462–502,650 subjects) of coffee consumption subtypes. Finally, we used the LD Score Regression (LDSC) analysis to evaluate the genetic correlations of coffee consumption subtypes with plasma proteomes and peripheral metabolites. Results For the traits related to coffee consumption, we identified 3 common PWAS proteins, such as MADD (P PWAS−Banner−dis=0.0114, P PWAS−ROS/MAP−rep =0.0489). In addition, 11 common TWAS genes were found in two cohorts, such as ARPC2 (P TWAS−splicing−dis =2063×10− 12, P TWAS−splicing−dis =1.25×10− 10, P TWAS−splicing−dis =1.24e-08, P TWAS−splicing−rep =3.25×10− 9 and P TWAS−splicing−rep =3.42×10− 13). Importantly, we have identified 8 common genes between PWAS and TWAS, such as ALDH2 (P PWAS−banner−rep =1.22×10− 22, PTWAS− splicing−dis = 4.54×10− 92). For the LDSC analysis of human plasma proteome, we identified 11 plasma proteins, such as CHL1 (P dis = 0.0151, P rep =0.0438). For the LDSC analysis of blood metabolites, 5 metabolites have been found, such as myo-inositol (P dis = 0.0073, P dis = 0.0152, P dis =0.0414, P rep =0.0216). Conclusions We identified several brain proteins and genes associated with coffee consumption subtypes. In addition, we also detected several candidate plasma proteins and metabolites related to these subtypes.


2020 ◽  
Vol 87 (9) ◽  
pp. S183
Author(s):  
Thomas S. Wingo ◽  
Yue Liu ◽  
Adriana Lori ◽  
Ekaterina S. Gerasimov ◽  
Duc M. Duong ◽  
...  

2019 ◽  
Vol 85 (10) ◽  
pp. S249
Author(s):  
Aliza Wingo ◽  
Wen Fan ◽  
Nicholas Seyfried ◽  
Duc Duong ◽  
Eric Dammer ◽  
...  

PROTEOMICS ◽  
2006 ◽  
Vol 6 (18) ◽  
pp. 4967-4977 ◽  
Author(s):  
Debora Dumont ◽  
Jean-Paul Noben ◽  
Peter Verhaert ◽  
Piet Stinissen ◽  
Johan Robben

PROTEOMICS ◽  
2005 ◽  
Vol 5 (2) ◽  
pp. 334-336 ◽  
Author(s):  
Michael Hamacher ◽  
Helmut E. Meyer
Keyword(s):  

2003 ◽  
Vol 2 (6) ◽  
pp. 576-576
Author(s):  
Hanns J. Neubert
Keyword(s):  

2019 ◽  
Author(s):  
Aliza P. Wingo ◽  
Wen Fan ◽  
Duc M. Duong ◽  
Ekaterina S. Gerasimov ◽  
Eric B. Dammer ◽  
...  

AbstractCerebral atherosclerosis is a leading cause of stroke and an important contributor to dementia. However, little is known about its molecular effects on the human brain and how these alterations may contribute to dementia. Here, we investigated these questions using large-scale quantification of over 8300 proteins from 438 post-mortem brains from a discovery and replication cohort. A proteome-wide association study and protein network analysis of cerebral atherosclerosis found 114 proteins and 5 protein co-expression modules associated with cerebral atherosclerosis. Enrichment analysis of these proteins and modules revealed that cerebral atherosclerosis was associated with reductions in synaptic signaling and RNA splicing and increases in oligodendrocyte development and myelination. A subset of these proteins (n=23) and protein modules (n=2) were also associated with Alzheimer’s disease (AD) dementia, implicating a shared mechanism with AD through decreased synaptic signaling and regulation and increased myelination. Notably, neurofilament light (NEFL) and medium (NEFM) chain proteins were among these 23 proteins, and our data suggest they contribute to AD dementia through cerebral atherosclerosis. Together, our findings offer insights into effects of cerebral atherosclerosis on the human brain proteome, and how cerebral atherosclerosis contributes to dementia risk.


Author(s):  
Joaquín Fernández-Irigoyen ◽  
Fernando Corrales ◽  
Enrique Santamaría
Keyword(s):  

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Lingyan Ping ◽  
Sean R. Kundinger ◽  
Duc M. Duong ◽  
Luming Yin ◽  
Marla Gearing ◽  
...  

Abstract Alzheimer’s disease (AD) is characterized by an early, asymptomatic phase (AsymAD) in which individuals exhibit amyloid-beta (Aβ) plaque accumulation in the absence of clinically detectable cognitive decline. Here we report an unbiased multiplex quantitative proteomic and phosphoproteomic analysis using tandem mass tag (TMT) isobaric labeling of human post-mortem cortex (n = 27) across pathology-free controls, AsymAD and symptomatic AD individuals. With off-line high-pH fractionation and liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) on an Orbitrap Lumos mass spectrometer, we identified 11,378 protein groups across three TMT 11-plex batches. Immobilized metal affinity chromatography (IMAC) was used to enrich for phosphopeptides from the same TMT-labeled cases and 51,736 phosphopeptides were identified. Of these, 48,992 were quantified by TMT reporter ions representing 33,652 unique phosphosites. Two reference standards in each TMT 11-plex were included to assess intra- and inter-batch variance at the protein and peptide level. This comprehensive human brain proteome and phosphoproteome dataset will serve as a valuable resource for the identification of biochemical, cellular and signaling pathways altered during AD progression.


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