Results 201 to 210 of about 14,964,075 (408)
Cell turnover in mammalian tissues: use of cell depletion measurements to calculate x-ray reproductive survival curves in vivo. [PDF]
Theodore T. Puck
openalex +1 more source
TNF-α Coordinates Hematopoietic Stem Cell Survival and Myeloid Regeneration.
Masayuki Yamashita, E. Passegué
semanticscholar +1 more source
Elevated level of cholesterol is positively correlated to prostate cancer development and disease severity. Cholesterol‐lowering drugs, such as statins, are demonstrated to inhibit prostate cancer. VNPP433‐3β interrupts multiple signaling and metabolic pathways, including cholesterol biosynthesis, AR‐mediated transcription of several oncogenes, mRNA 5′
Retheesh S. Thankan+10 more
wiley +1 more source
HSP27 and cell survival in neurones
Although the majority of studies on the protective effect of individual hsps have concentrated on the major inducible heat shock protein Hsp70, a variety of evidence suggests that the small heat shock protein Hsp27 may have a more potent protective effect in the nervous system.
openaire +2 more sources
Metabolic pathways promoting cancer cell survival and growth
Lindsey K. Boroughs, R. Deberardinis
semanticscholar +1 more source
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+8 more
wiley +1 more source
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+10 more
wiley +1 more source
xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer [PDF]
Understanding how deep learning models predict oncology patient risk can provide critical insights into disease progression, support clinical decision-making, and pave the way for trustworthy and data-driven precision medicine. Building on recent advances in the spatial modeling of the tumor microenvironment using graph neural networks, we present an ...
arxiv
Survival of HeLa Cells from 10 Nanosecond Pulses of Electrons [PDF]
A.H.W. Nias+3 more
openalex +1 more source
Modulation of NF‐κB‐dependent transcription and cell survival by the SIRT1 deacetylase
F. Yeung+6 more
semanticscholar +1 more source