Results 281 to 290 of about 62,999,708 (406)

Pharmaceutical Analysis by Polarography. V

, 1953
Kazuo Matsumoto, T. Matsui
openalex   +2 more sources

Session Law 80-026 [PDF]

, 1980
House of Representatives, Florida Senate &
core   +8 more sources

Classification of acute myeloid leukemia based on multi‐omics and prognosis prediction value

Molecular Oncology, EarlyView.
The Unsupervised AML Multi‐Omics Classification System (UAMOCS) integrates genomic, methylation, and transcriptomic data to categorize AML patients into three subtypes (UAMOCS1‐3). This classification reveals clinical relevance, highlighting immune and chromosomal characteristics, prognosis, and therapeutic vulnerabilities.
Yang Song, Zhe Wang, Guangji Zhang, Jiangxue Hou, Kaiqi Liu, Shuning Wei, Yan Li, Chunlin Zhou, Dong Lin, Min Wang, Hui Wei, Jianxiang Wang, Tao Cheng, Yingchang Mi   +13 more
wiley   +1 more source

Monocyte CCL2 signaling possibly contributes to increased asthma susceptibility in type 2 diabetes. [PDF]

Sci Rep
Luo T, Guo W, Ji W, Du W, Lv Y, Feng Z.
europepmc   +1 more source

Application of factor analysis to the yield of rice-crop experiments. (2)

, 1953
M. NAKAHARA, M. MITSUTERA
openalex   +2 more sources

Adverse prognosis gene expression patterns in metastatic castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
We aggregated a cohort of 1012 mCRPC tissue samples from 769 patients and investigated the association of gene expression‐based pathways with clinical outcomes. Loss of AR signaling, high proliferation, and a glycolytic phenotype were independently prognostic for poor outcomes, and an adverse transcriptional feature score incorporating these pathways ...
Marina N. Sharifi, Eric Feng, Nicholas R. Rydzewski, Amy K. Taylor, Jamie M. Sperger, Yue Shi, Kyle T. Helzer, Matthew L. Bootsma, Viridiana Carreno, Alex H. Chang, Luke A. Nunamaker, Grace C. Blitzer, Tianfu Andy Shang, Aishwarya Subramanian, Anders Bjartell, Andreas Josefsson, Pernilla Wikström, Emily Feng, Manish Kohli, Rendong Yang, Scott M. Dehm, Eric J. Small, Rahul Aggarwal, David A. Quigley, Joshua M. Lang, Shuang G. Zhao, Martin Sjöström   +26 more
wiley   +1 more source

GWAS meta-analysis using a graph-based pan-genome enhanced gene mining efficiency for agronomic traits in rice. [PDF]

Nat Commun
Yang L, He W, Zhu Y, Lv Y, Li Y, Zhang Q, Liu Y, Zhang Z, Wang T, Wei H, Cao X, Cui Y, Zhang B, Chen W, He H, Wang X, Chen D, Liu C, Shi C, Liu X, Xu Q, Yuan Q, Yu X, Qian H, Li X, Zhang B, Zhang H, Leng Y, Zhang Z, Dai X, Guo M, Jia J, Qian Q, Shang L.   +33 more
europepmc   +1 more source

Analysis on the Cut Depth in Travelling Nozzle-Blasting with Steel Grit

, 1953
Shokichi HIROSE
openalex   +2 more sources

TOMM20 as a driver of cancer aggressiveness via oxidative phosphorylation, maintenance of a reduced state, and resistance to apoptosis

Molecular Oncology, EarlyView.
TOMM20 increases cancer aggressiveness by maintaining a reduced state with increased NADH and NADPH levels, oxidative phosphorylation (OXPHOS), and apoptosis resistance while reducing reactive oxygen species (ROS) levels. Conversely, CRISPR‐Cas9 knockdown of TOMM20 alters these cancer‐aggressive traits.
Ranakul Islam, Megan E. Roche, Zhao Lin, Diana Whitaker‐Menezes, Victor Diaz‐Barros, Eurico Serrano, Maria Paula Martinez Cantarin, Nancy J. Philp, Atrayee Basu Mallick, Ubaldo Martinez‐Outschoorn   +9 more
wiley   +1 more source

Integrating single-cell RNA sequencing, WGCNA, and machine learning to identify key biomarkers in hepatocellular carcinoma. [PDF]

Sci Rep
Wang G, Zhang J, Li Y, Zhang Y, Dong W, Wu H, Wang J, Liao P, Yuan Z, Liu T, He W.   +10 more
europepmc   +1 more source