Yiming Cheng
Ludwig Maximilian University of Munich
18 Papers
10 Citations
Yiming Cheng is an academic researcher from Ludwig Maximilian University of Munich. The author has contributed to research in topics: Gene & Biology. The author has an hindex of 8, co-authored 15 publications. Previous affiliations of Yiming Cheng include New York University & New Jersey Institute of Technology.
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Papers
CARD8 inflammasome activation triggers pyroptosis in human T cells
Andreas Linder,Stefan Bauernfried,Yiming Cheng,Manuel Albanese,Christophe Jung,Oliver T. Keppler,Veit Hornung +6 more
TL;DR: It is shown that blocking DPPs using Val‐boroPro triggers a lytic form of cell death in primary human CD4 and CD8 T cells, while other prototypical inflammasome stimuli were not active.
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TLR8 Is a Sensor of RNase T2 Degradation Products
Wilhelm Greulich,Mirko Wagner,Moritz M. Gaidt,Moritz M. Gaidt,Che A. Stafford,Yiming Cheng,Andreas Linder,Thomas Carell,Veit Hornung,Veit Hornung +9 more
TL;DR: The lysosomal endoribonuclease RNase T2 is identified as a non-redundant upstream component of TLR8-dependent RNA recognition and the identity and origin of the RNA-derived molecular pattern sensed by TLR 8 is established.
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Prediction of Adipose Browning Capacity by Systematic Integration of Transcriptional Profiles.
Yiming Cheng,Li Jiang,Susanne Keipert,Shuyue Zhang,Andreas Hauser,Elisabeth Graf,Tim M. Strom,Matthias H. Tschöp,Martin Jastroch,Fabiana Perocchi +9 more
TL;DR: This study represents the most exhaustive comparative analysis of public data on adipose biology toward quantification of browning after personalized medical intervention and successfully predicts browning capacity upon various physiological and pharmacological stimuli.
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ProtPhylo: identification of protein-phenotype and protein-protein functional associations via phylogenetic profiling.
Yiming Cheng,Fabiana Perocchi +1 more
TL;DR: ProtPhylo infers functional associations by comparing protein phylogenetic profiles for more than 9.7 million non-redundant protein sequences from all three domains of life by ranking phylogenetic neighbors of query proteins or phenotypic properties using the Hamming distance.
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A discrete computer model of the immune system reveals competitive interactions between the humoral and cellular branch and between cross-reacting memory and naïve responses.
Yiming Cheng,Dario Ghersi,Claudia Calcagno,Liisa K. Selin,Roberto Puzone,Franco Celada,Franco Celada +6 more
TL;DR: In an agent-based computer model, the formation and recall of anti-virus immunological memory is simulations, which reveal powerful competitions between the branches, and more intriguing, between cross-reacting and new responses when the latter suffer the competition by preformed cell-rich but inefficient clones.
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