TY  - JOUR
A1  - Jiang, Yuxiang
A1  - Oron, Tal Ronnen
A1  - Clark, Wyatt T.
A1  - Bankapur, Asma R.
A1  - D'Andrea, Daniel
A1  - Lepore, Rosalba
A1  - Funk, Christopher S.
A1  - Kahanda, Indika
A1  - Verspoor, Karin M.
A1  - Ben-Hur, Asa
A1  - Koo, Da Chen Emily
A1  - Penfold-Brown, Duncan
A1  - Shasha, Dennis
A1  - Youngs, Noah
A1  - Bonneau, Richard
A1  - Lin, Alexandra
A1  - Sahraeian, Sayed M. E.
A1  - Martelli, Pier Luigi
A1  - Profiti, Giuseppe
A1  - Casadio, Rita
A1  - Cao, Renzhi
A1  - Zhong, Zhaolong
A1  - Cheng, Jianlin
A1  - Altenhoff, Adrian
A1  - Skunca, Nives
A1  - Dessimoz, Christophe
A1  - Dogan, Tunca
A1  - Hakala, Kai
A1  - Kaewphan, Suwisa
A1  - Mehryary, Farrokh
A1  - Salakoski, Tapio
A1  - Ginter, Filip
A1  - Fang, Hai
A1  - Smithers, Ben
A1  - Oates, Matt
A1  - Gough, Julian
A1  - Törönen, Petri
A1  - Koskinen, Patrik
A1  - Holm, Liisa
A1  - Chen, Ching-Tai
A1  - Hsu, Wen-Lian
A1  - Bryson, Kevin
A1  - Cozzetto, Domenico
A1  - Minneci, Federico
A1  - Jones, David T.
A1  - Chapman, Samuel
A1  - BKC, Dukka
A1  - Khan, Ishita K.
A1  - Kihara, Daisuke
A1  - Ofer, Dan
A1  - Rappoport, Nadav
A1  - Stern, Amos
A1  - Cibrian-Uhalte, Elena
A1  - Denny, Paul
A1  - Foulger, Rebecca E.
A1  - Hieta, Reija
A1  - Legge, Duncan
A1  - Lovering, Ruth C.
A1  - Magrane, Michele
A1  - Melidoni, Anna N.
A1  - Mutowo-Meullenet, Prudence
A1  - Pichler, Klemens
A1  - Shypitsyna, Aleksandra
A1  - Li, Biao
A1  - Zakeri, Pooya
A1  - ElShal, Sarah
A1  - Tranchevent, Léon-Charles
A1  - Das, Sayoni
A1  - Dawson, Natalie L.
A1  - Lee, David
A1  - Lees, Jonathan G.
A1  - Sillitoe, Ian
A1  - Bhat, Prajwal
A1  - Nepusz, Tamás
A1  - Romero, Alfonso E.
A1  - Sasidharan, Rajkumar
A1  - Yang, Haixuan
A1  - Paccanaro, Alberto
A1  - Gillis, Jesse
A1  - Sedeño-Cortés, Adriana E.
A1  - Pavlidis, Paul
A1  - Feng, Shou
A1  - Cejuela, Juan M.
A1  - Goldberg, Tatyana
A1  - Hamp, Tobias
A1  - Richter, Lothar
A1  - Salamov, Asaf
A1  - Gabaldon, Toni
A1  - Marcet-Houben, Marina
A1  - Supek, Fran
A1  - Gong, Qingtian
A1  - Ning, Wei
A1  - Zhou, Yuanpeng
A1  - Tian, Weidong
A1  - Falda, Marco
A1  - Fontana, Paolo
A1  - Lavezzo, Enrico
A1  - Toppo, Stefano
A1  - Ferrari, Carlo
A1  - Giollo, Manuel
A1  - Piovesan, Damiano
A1  - Tosatto, Silvio C. E.
A1  - del Pozo, Angela
A1  - Fernández, José M.
A1  - Maietta, Paolo
A1  - Valencia, Alfonso
A1  - Tress, Michael L.
A1  - Benso, Alfredo
A1  - Di Carlo, Stefano
A1  - Politano, Gianfranco
A1  - Savino, Alessandro
A1  - Rehman, Hafeez Ur
A1  - Re, Matteo
A1  - Mesiti, Marco
A1  - Valentini, Giorgio
A1  - Bargsten, Joachim W.
A1  - van Dijk, Aalt D. J.
A1  - Gemovic, Branislava
A1  - Glisic, Sanja
A1  - Perovic, Vladmir
A1  - Veljkovic, Veljko
A1  - Almeida-e-Silva, Danillo C.
A1  - Vencio, Ricardo Z. N.
A1  - Sharan, Malvika
A1  - Vogel, Jörg
A1  - Kansakar, Lakesh
A1  - Zhang, Shanshan
A1  - Vucetic, Slobodan
A1  - Wang, Zheng
A1  - Sternberg, Michael J. E.
A1  - Wass, Mark N.
A1  - Huntley, Rachael P.
A1  - Martin, Maria J.
A1  - O'Donovan, Claire
A1  - Robinson, Peter N.
A1  - Moreau, Yves
A1  - Tramontano, Anna
A1  - Babbitt, Patricia C.
A1  - Brenner, Steven E.
A1  - Linial, Michal
A1  - Orengo, Christine A.
A1  - Rost, Burkhard
A1  - Greene, Casey S.
A1  - Mooney, Sean D.
A1  - Friedberg, Iddo
A1  - Radivojac, Predrag
A1  - Veljkovic, Nevena
T1  - An expanded evaluation of protein function prediction methods shows an improvement in accuracy
JF  - Genome Biology
N2  - Background
A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging.

Results
We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2.

Conclusions
The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent.
KW  - Protein function prediction
KW  - Disease gene prioritization
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166293
VL  - 17
IS  - 184
ER  - 
TY  - JOUR
A1  - Iyengar, Sudha K.
A1  - Sedor, John R.
A1  - Freedman, Barry I.
A1  - Kao, W. H. Linda
A1  - Kretzler, Matthias
A1  - Keller, Benjamin J.
A1  - Abboud, Hanna E.
A1  - Adler, Sharon G.
A1  - Best, Lyle G.
A1  - Bowden, Donald W.
A1  - Burlock, Allison
A1  - Chen, Yii-Der Ida
A1  - Cole, Shelley A.
A1  - Comeau, Mary E.
A1  - Curtis, Jeffrey M.
A1  - Divers, Jasmin
A1  - Drechsler, Christiane
A1  - Duggirala, Ravi
A1  - Elston, Robert C.
A1  - Guo, Xiuqing
A1  - Huang, Huateng
A1  - Hoffmann, Michael Marcus
A1  - Howard, Barbara V.
A1  - Ipp, Eli
A1  - Kimmel, Paul L.
A1  - Klag, Michael J.
A1  - Knowler, William C.
A1  - Kohn, Orly F.
A1  - Leak, Tennille S.
A1  - Leehey, David J.
A1  - Li, Man
A1  - Malhotra, Alka
A1  - März, Winfried
A1  - Nair, Viji
A1  - Nelson, Robert G.
A1  - Nicholas, Susanne B.
A1  - O’Brien, Stephen J.
A1  - Pahl, Madeleine V.
A1  - Parekh, Rulan S.
A1  - Pezzolesi, Marcus G.
A1  - Rasooly, Rebekah S.
A1  - Rotimi, Charles N.
A1  - Rotter, Jerome I.
A1  - Schelling, Jeffrey R.
A1  - Seldin, Michael F.
A1  - Shah, Vallabh O.
A1  - Smiles, Adam M.
A1  - Smith, Michael W.
A1  - Taylor, Kent D.
A1  - Thameem, Farook
A1  - Thornley-Brown, Denyse P.
A1  - Truitt, Barbara J.
A1  - Wanner, Christoph
A1  - Weil, E. Jennifer
A1  - Winkler, Cheryl A.
A1  - Zager, Philip G.
A1  - Igo, Jr, Robert P.
A1  - Hanson, Robert L.
A1  - Langefeld, Carl D.
T1  - Genome-wide association and trans-ethnic meta-analysis for advanced diabetic kidney disease: Family Investigation of Nephropathy and Diabetes (FIND)
JF  - PLoS Genetics
N2  - Diabetic kidney disease (DKD) is the most common etiology of chronic kidney disease (CKD) in the industrialized world and accounts for much of the excess mortality in patients with diabetes mellitus. Approximately 45% of U.S. patients with incident end-stage kidney disease (ESKD) have DKD. Independent of glycemic control, DKD aggregates in families and has higher incidence rates in African, Mexican, and American Indian ancestral groups relative to European populations. The Family Investigation of Nephropathy and Diabetes (FIND) performed a genome-wide association study (GWAS) contrasting 6,197 unrelated individuals with advanced DKD with healthy and diabetic individuals lacking nephropathy of European American, African American, Mexican American, or American Indian ancestry. A large-scale replication and trans-ethnic meta-analysis included 7,539 additional European American, African American and American Indian DKD cases and non-nephropathy controls. Within ethnic group meta-analysis of discovery GWAS and replication set results identified genome-wide significant evidence for association between DKD and rs12523822 on chromosome 6q25.2 in American Indians (P = 5.74x10\(^{−9}\)). The strongest signal of association in the trans-ethnic meta-analysis was with a SNP in strong linkage disequilibrium with rs12523822 (rs955333; P = 1.31x10\(^{−8}\)), with directionally consistent results across ethnic groups. These 6q25.2 SNPs are located between the SCAF8 and CNKSR3 genes, a region with DKD relevant changes in gene expression and an eQTL with IPCEF1, a gene co-translated with CNKSR3. Several other SNPs demonstrated suggestive evidence of association with DKD, within and across populations. These data identify a novel DKD susceptibility locus with consistent directions of effect across diverse ancestral groups and provide insight into the genetic architecture of DKD.
KW  - diabetic kidney disease
KW  - genome-wide association study
KW  - Family Investigation of Nephropathy and Diabetes
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-180545
VL  - 11
IS  - 8
ER  - 
TY  - JOUR
A1  - Fa, John E.
A1  - Olivero, Jesús
A1  - Real, Raimundo
A1  - Farfán, Miguel A.
A1  - Márquez, Ana L.
A1  - Vargas, J. Mario
A1  - Ziegler, Stefan
A1  - Wegmann, Martin
A1  - Brown, David
A1  - Margetts, Barrie
A1  - Nasi, Robert
T1  - Disentangling the relative effects of bushmeat availability on human nutrition in central Africa
JF  - Scientific Reports
N2  - We studied links between human malnutrition and wild meat availability within the Rainforest Biotic Zone in central Africa. We distinguished two distinct hunted mammalian diversity distributions, one in the rainforest areas (Deep Rainforest Diversity, DRD) containing taxa of lower hunting sustainability, the other in the northern rainforest-savanna mosaic, with species of greater hunting potential (Marginal Rainforest Diversity, MRD). Wild meat availability, assessed by standing crop mammalian biomass, was greater in MRD than in DRD areas. Predicted bushmeat extraction was also higher in MRD areas. Despite this, stunting of children, a measure of human malnutrition, was greater in MRD areas. Structural equation modeling identified that, in MRD areas, mammal diversity fell away from urban areas, but proximity to these positively influenced higher stunting incidence. In DRD areas, remoteness and distance from dense human settlements and infrastructures explained lower stunting levels. Moreover, stunting was higher away from protected areas. Our results suggest that in MRD areas, forest wildlife rational use for better human nutrition is possible. By contrast, the relatively low human populations in DRD areas currently offer abundant opportunities for the continued protection of more vulnerable mammals and allow dietary needs of local populations to be met.
KW  - plant species richness
KW  - development policy
KW  - Congo Basin
KW  - conservation
KW  - dependence
KW  - wildlife consumption
KW  - food security
KW  - forests
KW  - biodiversity
KW  - hotspots
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-144110
VL  - 5
IS  - 8168
ER  - 
TY  - JOUR
A1  - Perrella, Gina
A1  - Montague, Samantha J.
A1  - Brown, Helena C.
A1  - Garcia Quintanilla, Lourdes
A1  - Slater, Alexandre
A1  - Stegner, David
A1  - Thomas, Mark
A1  - Heemskerk, Johan W. M.
A1  - Watson, Steve P.
T1  - Role of tyrosine kinase Syk in thrombus stabilisation at high shear
JF  - International Journal of Molecular Sciences
N2  - Understanding the pathways involved in the formation and stability of the core and shell regions of a platelet-rich arterial thrombus may result in new ways to treat arterial thrombosis. The distinguishing feature between these two regions is the absence of fibrin in the shell which indicates that in vitro flow-based assays over thrombogenic surfaces, in the absence of coagulation, can be used to resemble this region. In this study, we have investigated the contribution of Syk tyrosine kinase in the stability of platelet aggregates (or thrombi) formed on collagen or atherosclerotic plaque homogenate at arterial shear (1000 s\(^{−1}\)). We show that post-perfusion of the Syk inhibitor PRT-060318 over preformed thrombi on both surfaces enhances thrombus breakdown and platelet detachment. The resulting loss of thrombus stability led to a reduction in thrombus contractile score which could be detected as early as 3 min after perfusion of the Syk inhibitor. A similar loss of thrombus stability was observed with ticagrelor and indomethacin, inhibitors of platelet adenosine diphosphate (ADP) receptor and thromboxane A\(_2\) (TxA\(_2\)), respectively, and in the presence of the Src inhibitor, dasatinib. In contrast, the Btk inhibitor, ibrutinib, causes only a minor decrease in thrombus contractile score. Weak thrombus breakdown is also seen with the blocking GPVI nanobody, Nb21, which indicates, at best, a minor contribution of collagen to the stability of the platelet aggregate. These results show that Syk regulates thrombus stability in the absence of fibrin in human platelets under flow and provide evidence that this involves pathways additional to activation of GPVI by collagen.
KW  - disaggregation
KW  - platelet
KW  - Syk
KW  - thrombus
KW  - tyrosine kinase
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-284243
SN  - 1422-0067
VL  - 23
IS  - 1
ER  -