Results 221 to 230 of about 24,595,607 (343)

Elucidating prognostic significance of purine metabolism in colorectal cancer through integrating data from transcriptomic, immunohistochemical, and single‐cell RNA sequencing analysis

Molecular Oncology, EarlyView.
Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim, Myunghee Kang, Soyeon Jeong, Jisup Kim, Kyoung Oh Kim, Won‐Suk Lee, Jeong‐Heum Baek, Jung Ho Kim, Seungyoon Nam   +8 more
wiley   +1 more source

NET works after all? Engineering robustness through diversity

, 2018
Thierry D.G.A. Mondeel, Stefania Astrologo, Yanfei Zhang, Hans V. Westerhoff   +3 more
openalex   +1 more source

Exploring the construction of an all-round cost management system for investment control in university engineering construction

, 2023
Juan Zhang, Jie Geng, Haiyong Yang, Yi Li, Xiao Zhang, Yihang Wang   +5 more
openalex   +1 more source

Author Correction: An optoelectrochemical synapse based on a single-component n-type mixed conductor. [PDF]

Nat Commun
Wang Y, Shan W, Li H, Zhong Y, Wustoni S, Uribe J, Chang T, Musteata VE, Castillo TCH, Yue W, Ling H, El-Atab N, Inal S.   +12 more
europepmc   +1 more source

Highly multiplexed digital PCR assay for simultaneous quantification of variant allele frequencies and copy number alterations of KRAS and GNAS in pancreatic cancer precursors

Molecular Oncology, EarlyView.
Combining melting curve analysis enhances the multiplexing capability of digital PCR. Here, we developed a 14‐plex assay to simultaneously measure single nucleotide mutations and amplifications of KRAS and GNAS, which are common driver genes in pancreatic cancer precursors. This assay accurately quantified variant allele frequencies in clinical samples
Junko Tanaka, Tatsuo Nakagawa, Yusuke Ono, Yoshio Kamura, Takeshi Ishida, Hidemasa Kawabata, Kenji Takahashi, Hiroki Sato, Andrew S. Liss, Yusuke Mizukami, Takahide Yokoi   +10 more
wiley   +1 more source

Behavior engineering using quantitative reinforcement learning models. [PDF]

Nat Commun
Dan O, Plonsky O, Loewenstein Y.
europepmc   +1 more source

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

Molecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu, Jianchao Wang, Fuqing Chen, Xuefeng Wang, Bin Lan, Ruyi Fu, Hong Wen, Fangfang Chen, Wei Hong, Tian‐Yu Tang, Ying He, Gang Chen, Jianyin Zhou, Hai‐Long Piao, Di Chen, Shu‐Yong Lin   +15 more
wiley   +1 more source

Photocrosslinkable Gelatin Hydrogel for Epidermal Tissue Engineering

Advanced Healthcare Materials, 2016
Xin Zhao, Qi Lang, L. Yildirimer, Z. Lin, W. Cui, N. Annabi, K. Ng, M. Dokmeci, A. Ghaemmaghami, A. Khademhosseini   +9 more
semanticscholar   +1 more source

High efficiency rare earth element bioleaching with systems biology guided engineering of Gluconobacter oxydans. [PDF]

Commun Biol
Schmitz AM, Pian B, Marecos S, Wu M, Holycross M, Gazel E, Reid MC, Barstow B.   +7 more
europepmc   +1 more source

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source