TY  - JOUR
A1  - Zhao, De-Wei
A1  - Yu, Mang
A1  - Hu, Kai
A1  - Wang, Wei
A1  - Yang, Lei
A1  - Wang, Ben-Jie
A1  - Gao, Xiao-Hong
A1  - Guo, Yong-Ming
A1  - Xu, Yong-Qing
A1  - Wei, Yu-Shan
A1  - Tian, Si-Miao
A1  - Yang, Fan
A1  - Wang, Nan
A1  - Huang, Shi-Bo
A1  - Xie, Hui
A1  - Wei, Xiao-Wei
A1  - Jiang, Hai-Shen
A1  - Zang, Yu-Qiang
A1  - Ai, Jun
A1  - Chen, Yuan-Liang
A1  - Lei, Guang-Hua
A1  - Li, Yu-Jin
A1  - Tian, Geng
A1  - Li, Zong-Sheng
A1  - Cao, Yong
A1  - Ma, Li
T1  - Prevalence of Nontraumatic Osteonecrosis of the Femoral Head and its Associated Risk Factors in the Chinese Population: Results from a Nationally Representative Survey
JF  - Chinese Medical Journal
N2  - Background: Nontraumatic osteonecrosis of the femoral head (NONFH) is a debilitating disease that represents a significant financial burden for both individuals and healthcare systems. Despite its significance, however, its prevalence in the Chinese general population remains unknown. This study aimed to investigate the prevalence of NONFH and its associated risk factors in the Chinese population. 
Methods: A nationally representative survey of 30,030 respondents was undertaken from June 2012 to August 2013. All participants underwent a questionnaire investigation, physical examination of hip, and bilateral hip joint X-ray and/or magnetic resonance imaging examination. Blood samples were taken after overnight fasting to test serum total cholesterol, triglyceride, and high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels. We then used multivariate logistic regression analysis to investigate the associations between various metabolic, demographic, and lifestyle-related variables and NONFH. 
Results: NONFH was diagnosed in 218 subjects (0.725%) and the estimated NONFH cases were 8.12 million among Chinese people aged 15 years and over. The prevalence of NONFH was significantly higher in males than in females (1.02% vs. 0.51%, \(\chi^2\) = 24.997, P < 0.001). Among NONFH patients, North residents were subjected to higher prevalence of NONFH than that of South residents (0.85% vs. 0.61%, \(\chi^2\) = 5.847, P = 0.016). Our multivariate regression analysis showed that high blood levels of triglycerides, total cholesterol, LDL-cholesterol, and non-HDL-cholesterol, male, urban residence, family history of osteonecrosis of the femoral head, heavy smoking, alcohol abuse and glucocorticoid intake, overweight, and obesity were all significantly associated with an increased risk of NONFH. 
Conclusions: Our findings highlight that NONFH is a significant public health challenge in China and underscore the need for policy measures on the national level. Furthermore, NONFH shares a number of risk factors with atherosclerosis.
KW  - nontraumatic osteonecrosis of the femoral head
KW  - risk factors
KW  - idiopathic osteonecrosis
KW  - early-stage osteonecrosis
KW  - implantation
KW  - bone
KW  - marrow
KW  - follow-up
KW  - intake
KW  - avascular necrosis
KW  - occupational-status
KW  - cigarette smoking
KW  - alcohol
KW  - prevalence
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-138482
VL  - 128
IS  - 21
ER  - 
TY  - JOUR
A1  - Liu, Han
A1  - Chen, Chunhai
A1  - Gao, Zexia
A1  - Min, Jiumeng
A1  - Gu, Yongming
A1  - Jian, Jianbo
A1  - Jiang, Xiewu
A1  - Cai, Huimin
A1  - Ebersberger, Ingo
A1  - Xu, Meng
A1  - Zhang, Xinhui
A1  - Chen, Jianwei
A1  - Luo, Wei
A1  - Chen, Boxiang
A1  - Chen, Junhui
A1  - Liu, Hong
A1  - Li, Jiang
A1  - Lai, Ruifang
A1  - Bai, Mingzhou
A1  - Wei, Jin
A1  - Yi, Shaokui
A1  - Wang, Huanling
A1  - Cao, Xiaojuan
A1  - Zhou, Xiaoyun
A1  - Zhao, Yuhua
A1  - Wei, Kaijian
A1  - Yang, Ruibin
A1  - Liu, Bingnan
A1  - Zhao, Shancen
A1  - Fang, Xiaodong
A1  - Schartl, Manfred
A1  - Qian, Xueqiao
A1  - Wang, Weimin
T1  - The draft genome of blunt snout bream (Megalobrama amblycephala) reveals the development of intermuscular bone and adaptation to herbivorous diet
JF  - GigaScience
N2  - The blunt snout bream Megalobrama amblycephala is the economically most important cyprinid fish species. As an herbivore, it can be grown by eco-friendly and resource-conserving aquaculture. However, the large number of intermuscular bones in the trunk musculature is adverse to fish meat processing and consumption. As a first towards optimizing this aquatic livestock, we present a 1.116-Gb draft genome of M. amblycephala, with 779.54 Mb anchored on 24 linkage groups. Integrating spatiotemporal transcriptome analyses, we show that intermuscular bone is formed in the more basal teleosts by intramembranous ossification and may be involved in muscle contractibility and coordinating cellular events. Comparative analysis revealed that olfactory receptor genes, especially of the beta type, underwent an extensive expansion in herbivorous cyprinids, whereas the gene for the umami receptor T1R1 was specifically lost in M. amblycephala. The composition of gut microflora, which contributes to the herbivorous adaptation of M. amblycephala, was found to be similar to that of other herbivores. As a valuable resource for the improvement of M. amblycephala livestock, the draft genome sequence offers new insights into the development of intermuscular bone and herbivorous adaptation.
KW  - Megalobrama amblycephala
KW  - whole genome
KW  - herbivorous diet
KW  - intermuscular bone
KW  - transcriptome
KW  - gut microflora
Y1  - 2017
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-170844
VL  - 6
IS  - 7
ER  - 
TY  - JOUR
A1  - Wang, Xiaoliang
A1  - Liu, Xuan
A1  - Xiao, Yun
A1  - Mao, Yue
A1  - Wang, Nan
A1  - Wang, Wei
A1  - Wu, Shufan
A1  - Song, Xiaoyong
A1  - Wang, Dengfeng
A1  - Zhong, Xingwang
A1  - Zhu, Zhu
A1  - Schilling, Klaus
A1  - Damaren, Christopher
T1  - On-orbit verification of RL-based APC calibrations for micrometre level microwave ranging system
JF  - Mathematics
N2  - Micrometre level ranging accuracy between satellites on-orbit relies on the high-precision calibration of the antenna phase center (APC), which is accomplished through properly designed calibration maneuvers batch estimation algorithms currently. However, the unmodeled perturbations of the space dynamic and sensor-induced uncertainty complicated the situation in reality; ranging accuracy especially deteriorated outside the antenna main-lobe when maneuvers performed. This paper proposes an on-orbit APC calibration method that uses a reinforcement learning (RL) process, aiming to provide the high accuracy ranging datum for onboard instruments with micrometre level. The RL process used here is an improved Temporal Difference advantage actor critic algorithm (TDAAC), which mainly focuses on two neural networks (NN) for critic and actor function. The output of the TDAAC algorithm will autonomously balance the APC calibration maneuvers amplitude and APC-observed sensitivity with an object of maximal APC estimation accuracy. The RL-based APC calibration method proposed here is fully tested in software and on-ground experiments, with an APC calibration accuracy of less than 2 mrad, and the on-orbit maneuver data from  11–12 April 2022, which achieved 1–1.5 mrad calibration accuracy after RL training. The proposed RL-based APC algorithm may extend to prove mass calibration scenes with actions feedback to attitude determination and control system (ADCS), showing flexibility of spacecraft payload applications in the future.
KW  - reinforcement learning
KW  - antenna phase center calibration
KW  - K band ranging (KBR)
KW  - micrometre level microwave ranging
KW  - MSC: 49M37
KW  - MSC: 65K05
KW  - MSC: 90C30
KW  - MSC: 90C40
Y1  - 2023
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-303970
SN  - 2227-7390
VL  - 11
IS  - 4
ER  - 
TY  - JOUR
A1  - Ferreira, Manuel A.
A1  - Gamazon, Eric R.
A1  - Al-Ejeh, Fares
A1  - Aittomäki, Kristiina
A1  - Andrulis, Irene L.
A1  - Anton-Culver, Hoda
A1  - Arason, Adalgeir
A1  - Arndt, Volker
A1  - Aronson, Kristan J.
A1  - Arun, Banu K.
A1  - Asseryanis, Ella
A1  - Azzollini, Jacopo
A1  - Balmaña, Judith
A1  - Barnes, Daniel R.
A1  - Barrowdale, Daniel
A1  - Beckmann, Matthias W.
A1  - Behrens, Sabine
A1  - Benitez, Javier
A1  - Bermisheva, Marina
A1  - Bialkowska, Katarzyna
A1  - Blomqvist, Carl
A1  - Bogdanova, Natalia V.
A1  - Bojesen, Stig E.
A1  - Bolla, Manjeet K.
A1  - Borg, Ake
A1  - Brauch, Hiltrud
A1  - Brenner, Hermann
A1  - Broeks, Annegien
A1  - Burwinkel, Barbara
A1  - Caldés, Trinidad
A1  - Caligo, Maria A.
A1  - Campa, Daniele
A1  - Campbell, Ian
A1  - Canzian, Federico
A1  - Carter, Jonathan
A1  - Carter, Brian D.
A1  - Castelao, Jose E.
A1  - Chang-Claude, Jenny
A1  - Chanock, Stephen J.
A1  - Christiansen, Hans
A1  - Chung, Wendy K.
A1  - Claes, Kathleen B. M.
A1  - Clarke, Christine L.
A1  - Couch, Fergus J.
A1  - Cox, Angela
A1  - Cross, Simon S.
A1  - Czene, Kamila
A1  - Daly, Mary B.
A1  - de la Hoya, Miguel
A1  - Dennis, Joe
A1  - Devilee, Peter
A1  - Diez, Orland
A1  - Dörk, Thilo
A1  - Dunning, Alison M.
A1  - Dwek, Miriam
A1  - Eccles, Diana M.
A1  - Ejlertsen, Bent
A1  - Ellberg, Carolina
A1  - Engel, Christoph
A1  - Eriksson, Mikael
A1  - Fasching, Peter A.
A1  - Fletcher, Olivia
A1  - Flyger, Henrik
A1  - Friedman, Eitan
A1  - Frost, Debra
A1  - Gabrielson, Marike
A1  - Gago-Dominguez, Manuela
A1  - Ganz, Patricia A.
A1  - Gapstur, Susan M.
A1  - Garber, Judy
A1  - García-Closas, Montserrat
A1  - García-Sáenz, José A.
A1  - Gaudet, Mia M.
A1  - Giles, Graham G.
A1  - Glendon, Gord
A1  - Godwin, Andrew K.
A1  - Goldberg, Mark S.
A1  - Goldgar, David E.
A1  - González-Neira, Anna
A1  - Greene, Mark H.
A1  - Gronwald, Jacek
A1  - Guenél, Pascal
A1  - Haimann, Christopher A.
A1  - Hall, Per
A1  - Hamann, Ute
A1  - He, Wei
A1  - Heyworth, Jane
A1  - Hogervorst, Frans B. L.
A1  - Hollestelle, Antoinette
A1  - Hoover, Robert N.
A1  - Hopper, John L.
A1  - Hulick, Peter J.
A1  - Humphreys, Keith
A1  - Imyanitov, Evgeny N.
A1  - Isaacs, Claudine
A1  - Jakimovska, Milena
A1  - Jakubowska, Anna
A1  - James, Paul A.
A1  - Janavicius, Ramunas
A1  - Jankowitz, Rachel C.
A1  - John, Esther M.
A1  - Johnson, Nichola
A1  - Joseph, Vijai
A1  - Karlan, Beth Y.
A1  - Khusnutdinova, Elza
A1  - Kiiski, Johanna I.
A1  - Ko, Yon-Dschun
A1  - Jones, Michael E.
A1  - Konstantopoulou, Irene
A1  - Kristensen, Vessela N.
A1  - Laitman, Yael
A1  - Lambrechts, Diether
A1  - Lazaro, Conxi
A1  - Leslie, Goska
A1  - Lester, Jenny
A1  - Lesueur, Fabienne
A1  - Lindström, Sara
A1  - Long, Jirong
A1  - Loud, Jennifer T.
A1  - Lubiński, Jan
A1  - Makalic, Enes
A1  - Mannermaa, Arto
A1  - Manoochehri, Mehdi
A1  - Margolin, Sara
A1  - Maurer, Tabea
A1  - Mavroudis, Dimitrios
A1  - McGuffog, Lesley
A1  - Meindl, Alfons
A1  - Menon, Usha
A1  - Michailidou, Kyriaki
A1  - Miller, Austin
A1  - Montagna, Marco
A1  - Moreno, Fernando
A1  - Moserle, Lidia
A1  - Mulligan, Anna Marie
A1  - Nathanson, Katherine L.
A1  - Neuhausen, Susan L.
A1  - Nevanlinna, Heli
A1  - Nevelsteen, Ines
A1  - Nielsen, Finn C.
A1  - Nikitina-Zake, Liene
A1  - Nussbaum, Robert L.
A1  - Offit, Kenneth
A1  - Olah, Edith
A1  - Olopade, Olufunmilayo I.
A1  - Olsson, Håkan
A1  - Osorio, Ana
A1  - Papp, Janos
A1  - Park-Simon, Tjoung-Won
A1  - Parsons, Michael T.
A1  - Pedersen, Inge Sokilde
A1  - Peixoto, Ana
A1  - Peterlongo, Paolo
A1  - Pharaoh, Paul D. P.
A1  - Plaseska-Karanfilska, Dijana
A1  - Poppe, Bruce
A1  - Presneau, Nadege
A1  - Radice, Paolo
A1  - Rantala, Johanna
A1  - Rennert, Gad
A1  - Risch, Harvey A.
A1  - Saloustros, Emmanouil
A1  - Sanden, Kristin
A1  - Sawyer, Elinor J.
A1  - Schmidt, Marjanka K.
A1  - Schmutzler, Rita K.
A1  - Sharma, Priyanka
A1  - Shu, Xiao-Ou
A1  - Simard, Jaques
A1  - Singer, Christian F.
A1  - Soucy, Penny
A1  - Southey, Melissa C.
A1  - Spinelli, John J.
A1  - Spurdle, Amanda B.
A1  - Stone, Jennifer
A1  - Swerdlow, Anthony J.
A1  - Tapper, William J.
A1  - Taylor, Jack A.
A1  - Teixeira, Manuel R.
A1  - Terry, Mary Beth
A1  - Teulé, Alex
A1  - Thomassen, Mads
A1  - Thöne, Kathrin
A1  - Thull, Darcy L.
A1  - Tischkowitz, Marc
A1  - Toland, Amanda E.
A1  - Torres, Diana
A1  - Truong, Thérèse
A1  - Tung, Nadine
A1  - Vachon, Celine M.
A1  - van Asperen, Christi J.
A1  - van den Ouweland, Ans M. W.
A1  - van Rensburg, Elizabeth J.
A1  - Vega, Ana
A1  - Viel, Alexandra
A1  - Wang, Qin
A1  - Wappenschmidt, Barbara
A1  - Weitzel, Jeffrey N.
A1  - Wendt, Camilla
A1  - Winqvist, Robert
A1  - Yang, Xiaohong R.
A1  - Yannoukakos, Drakoulis
A1  - Ziogas, Argyrios
A1  - Kraft, Peter
A1  - Antoniou, Antonis C.
A1  - Zheng, Wei
A1  - Easton, Douglas F.
A1  - Milne, Roger L.
A1  - Beesley, Jonathan
A1  - Chenevix-Trench, Georgia
T1  - Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer
JF  - Nature Communications
N2  - Genome-wide association studies (GWAS) have identified more than 170 breast cancer susceptibility loci. Here we hypothesize that some risk-associated variants might act in non-breast tissues, specifically adipose tissue and immune cells from blood and spleen. Using expression quantitative trait loci (eQTL) reported in these tissues, we identify 26 previously unreported, likely target genes of overall breast cancer risk variants, and 17 for estrogen receptor (ER)-negative breast cancer, several with a known immune function. We determine the directional effect of gene expression on disease risk measured based on single and multiple eQTL. In addition, using a gene-based test of association that considers eQTL from multiple tissues, we identify seven (and four) regions with variants associated with overall (and ER-negative) breast cancer risk, which were not reported in previous GWAS. Further investigation of the function of the implicated genes in breast and immune cells may provide insights into the etiology of breast cancer.
KW  - cancer
KW  - genetics
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-228024
VL  - 10
ER  - 
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  - Wei, Yuxiang
A1  - Wang, Junyi
A1  - Yang, Weiguang
A1  - Lin, Zhenyang
A1  - Ye, Qing
T1  - Boosting Ring Strain and Lewis Acidity of Borirane: Synthesis, Reactivity and Density Functional Theory Studies of an Uncoordinated Arylborirane Fused to o‐Carborane
JF  - Chemistry – A European Journal
N2  - Among the parent borirane, benzoborirene and ortho‐dicarbadodecaborane‐fused borirane, the latter possesses the highest ring strain and the highest Lewis acidity according to our density functional theory (DFT) studies. The synthesis of this class of compounds is thus considerably challenging. The existing examples require either a strong π‐donating group or an extra ligand for B‐coordination, which nevertheless suppresses or completely turns off the Lewis acidity. The title compound, which possesses both features, not only allows the 1,2‐insertion of P=O, C=O or C≡N to proceed under milder conditions, but also enables the heretofore unknown dearomative 1,4‐insertion of Ar−(C=O)− into a B−C bond. The fusion of strained molecular systems to an o‐carborane cage shows great promise for boosting both the ring strain and acidity.
KW  - borirane
KW  - carborane
KW  - fused boracycles
KW  - Lewis acidity
KW  - ring strain
Y1  - 2023
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-312089
VL  - 29
IS  - 5
ER  - 
TY  - JOUR
A1  - Robertson, Kevin A.
A1  - Hsieh, Wei Yuan
A1  - Forster, Thorsten
A1  - Blanc, Mathieu
A1  - Lu, Hongjin
A1  - Crick, Peter J.
A1  - Yutuc, Eylan
A1  - Watterson, Steven
A1  - Martin, Kimberly
A1  - Griffiths, Samantha J.
A1  - Enright, Anton J.
A1  - Yamamoto, Mami
A1  - Pradeepa, Madapura M.
A1  - Lennox, Kimberly A.
A1  - Behlke, Mark A.
A1  - Talbot, Simon
A1  - Haas, Jürgen
A1  - Dölken, Lars
A1  - Griffiths, William J.
A1  - Wang, Yuqin
A1  - Angulo, Ana
A1  - Ghazal, Peter
T1  - An Interferon Regulated MicroRNA Provides Broad Cell-Intrinsic Antiviral Immunity through Multihit Host-Directed Targeting of the Sterol Pathway
JF  - PLoS Biology
N2  - In invertebrates, small interfering RNAs are at the vanguard of cell-autonomous antiviral immunity. In contrast, antiviral mechanisms initiated by interferon (IFN) signaling predominate in mammals. Whilst mammalian IFN-induced miRNA are known to inhibit specific viruses, it is not known whether host-directed microRNAs, downstream of IFN-signaling, have a role in mediating broad antiviral resistance. By performing an integrative, systematic, global analysis of RNA turnover utilizing 4-thiouridine labeling of newly transcribed RNA and pri/pre-miRNA in IFN-activated macrophages, we identify a new post-transcriptional viral defense mechanism mediated by miR-342-5p. On the basis of ChIP and site-directed promoter mutagenesis experiments, we find the synthesis of miR-342-5p is coupled to the antiviral IFN response via the IFN-induced transcription factor, IRF1. Strikingly, we find miR-342-5p targets mevalonate-sterol biosynthesis using a multihit mechanism suppressing the pathway at different functional levels: transcriptionally via SREBF2, post-transcriptionally via miR-33, and enzymatically via IDI1 and SC4MOL. Mass spectrometry-based lipidomics and enzymatic assays demonstrate the targeting mechanisms reduce intermediate sterol pathway metabolites and total cholesterol in macrophages. These results reveal a previously unrecognized mechanism by which IFN regulates the sterol pathway. The sterol pathway is known to be an integral part of the macrophage IFN antiviral response, and we show that miR-342-5p exerts broad antiviral effects against multiple, unrelated pathogenic viruses such Cytomegalovirus and Influenza A (H1N1). Metabolic rescue experiments confirm the specificity of these effects and demonstrate that unrelated viruses have differential mevalonate and sterol pathway requirements for their replication. This study, therefore, advances the general concept of broad antiviral defense through multihit targeting of a single host pathway.
KW  - microRNA
KW  - sterol pathway
KW  - multihit targeting
KW  - interferon signaling
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166666
VL  - 14
IS  - 3
ER  - 
TY  - JOUR
A1  - Dörk, Thilo
A1  - Peterlongo, Peter
A1  - Mannermaa, Arto
A1  - Bolla, Manjeet K.
A1  - Wang, Qin
A1  - Dennis, Joe
A1  - Ahearn, Thomas
A1  - Andrulis, Irene L.
A1  - Anton-Culver, Hoda
A1  - Arndt, Volker
A1  - Aronson, Kristan J.
A1  - Augustinsson, Annelie
A1  - Beane Freeman, Laura E.
A1  - Beckmann, Matthias W.
A1  - Beeghly-Fadiel, Alicia
A1  - Behrens, Sabine
A1  - Bermisheva, Marina
A1  - Blomqvist, Carl
A1  - Bogdanova, Natalia V.
A1  - Bojesen, Stig E.
A1  - Brauch, Hiltrud
A1  - Brenner, Hermann
A1  - Burwinkel, Barbara
A1  - Canzian, Federico
A1  - Chan, Tsun L.
A1  - Chang-Claude, Jenny
A1  - Chanock, Stephen J.
A1  - Choi, Ji-Yeob
A1  - Christiansen, Hans
A1  - Clarke, Christine L.
A1  - Couch, Fergus J.
A1  - Czene, Kamila
A1  - Daly, Mary B.
A1  - dos-Santos-Silva, Isabel
A1  - Dwek, Miriam
A1  - Eccles, Diana M.
A1  - Ekici, Arif B.
A1  - Eriksson, Mikael
A1  - Evans, D. Gareth
A1  - Fasching, Peter A.
A1  - Figueroa, Jonine
A1  - Flyger, Henrik
A1  - Fritschi, Lin
A1  - Gabrielson, Marike
A1  - Gago-Dominguez, Manuela
A1  - Gao, Chi
A1  - Gapstur, Susan M.
A1  - García-Closas, Montserrat
A1  - García-Sáenz, José A.
A1  - Gaudet, Mia M.
A1  - Giles, Graham G.
A1  - Goldberg, Mark S.
A1  - Goldgar, David E.
A1  - Guenél, Pascal
A1  - Haeberle, Lothar
A1  - Haimann, Christopher A.
A1  - Håkansson, Niclas
A1  - Hall, Per
A1  - Hamann, Ute
A1  - Hartman, Mikael
A1  - Hauke, Jan
A1  - Hein, Alexander
A1  - Hillemanns, Peter
A1  - Hogervorst, Frans B. L.
A1  - Hooning, Maartje J.
A1  - Hopper, John L.
A1  - Howell, Tony
A1  - Huo, Dezheng
A1  - Ito, Hidemi
A1  - Iwasaki, Motoki
A1  - Jakubowska, Anna
A1  - Janni, Wolfgang
A1  - John, Esther M.
A1  - Jung, Audrey
A1  - Kaaks, Rudolf
A1  - Kang, Daehee
A1  - Kapoor, Pooja Middha
A1  - Khusnutdinova, Elza
A1  - Kim, Sung-Won
A1  - Kitahara, Cari M.
A1  - Koutros, Stella
A1  - Kraft, Peter
A1  - Kristensen, Vessela N.
A1  - Kwong, Ava
A1  - Lambrechts, Diether
A1  - Le Marchand, Loic
A1  - Li, Jingmei
A1  - Lindström, Sara
A1  - Linet, Martha
A1  - Lo, Wing-Yee
A1  - Long, Jirong
A1  - Lophatananon, Artitaya
A1  - Lubiński, Jan
A1  - Manoochehri, Mehdi
A1  - Manoukian, Siranoush
A1  - Margolin, Sara
A1  - Martinez, Elena
A1  - Matsuo, Keitaro
A1  - Mavroudis, Dimitris
A1  - Meindl, Alfons
A1  - Menon, Usha
A1  - Milne, Roger L.
A1  - Mohd Taib, Nur Aishah
A1  - Muir, Kenneth
A1  - Mulligan, Anna Marie
A1  - Neuhausen, Susan L.
A1  - Nevanlinna, Heli
A1  - Neven, Patrick
A1  - Newman, William G.
A1  - Offit, Kenneth
A1  - Olopade, Olufunmilayo I.
A1  - Olshan, Andrew F.
A1  - Olson, Janet E.
A1  - Olsson, Håkan
A1  - Park, Sue K.
A1  - Park-Simon, Tjoung-Won
A1  - Peto, Julian
A1  - Plaseska-Karanfilska, Dijana
A1  - Pohl-Rescigno, Esther
A1  - Presneau, Nadege
A1  - Rack, Brigitte
A1  - Radice, Paolo
A1  - Rashid, Muhammad U.
A1  - Rennert, Gad
A1  - Rennert, Hedy S.
A1  - Romero, Atocha
A1  - Ruebner, Matthias
A1  - Saloustros, Emmanouil
A1  - Schmidt, Marjanka K.
A1  - Schmutzler, Rita K.
A1  - Schneider, Michael O.
A1  - Schoemaker, Minouk J.
A1  - Scott, Christopher
A1  - Shen, Chen-Yang
A1  - Shu, Xiao-Ou
A1  - Simard, Jaques
A1  - Slager, Susan
A1  - Smichkoska, Snezhana
A1  - Southey, Melissa C.
A1  - Spinelli, John J.
A1  - Stone, Jennifer
A1  - Surowy, Harald
A1  - Swerdlow, Anthony J.
A1  - Tamimi, Rulla M.
A1  - Tapper, William J.
A1  - Teo, Soo H.
A1  - Terry, Mary Beth
A1  - Toland, Amanda E.
A1  - Tollenaar, Rob A. E. M.
A1  - Torres, Diana
A1  - Torres-Mejía, Gabriela
A1  - Troester, Melissa A.
A1  - Truong, Thérèse
A1  - Tsugane, Shoichiro
A1  - Untch, Michael
A1  - Vachon, Celine M.
A1  - van den Ouweland, Ans M. W.
A1  - van Veen, Elke M.
A1  - Vijai, Joseph
A1  - Wendt, Camilla
A1  - Wolk, Alicja
A1  - Yu, Jyh-Cherng
A1  - Zheng, Wei
A1  - Ziogas, Argyrios
A1  - Ziv, Elad
A1  - Dunnig, Alison
A1  - Pharaoh, Paul D. P.
A1  - Schindler, Detlev
A1  - Devilee, Peter
A1  - Easton, Douglas F.
T1  - Two truncating variants in FANCC and breast cancer risk
JF  - Scientific Reports
N2  - Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44–1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.
KW  - oncology
KW  - risk factors
Y1  - 2019
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-222838
VL  - 9
ER  -