Results 201 to 210 of about 1,716,351 (379)

A method for overproduction of a protein of a target gene in Escherichia coli.

, 1988
Tatsurou Shibui, Michiru Uchida-Kamizono, Yutaka Teranishi   +2 more
openalex   +2 more sources

Tumor suppression after tumor cell-targeted tumor necrosis factor alpha gene transfer. [PDF]

, 1991
Thomas Blankenstein, Zhihai Qin, Klaus Überla, Werner Müller, Hugh Rosen, Hans‐Dieter Volk, Tibor Diamantstein   +6 more
openalex   +1 more source

Thermal proteome profiling and proteome analysis using high‐definition mass spectrometry demonstrate modulation of cholesterol biosynthesis by next‐generation galeterone analog VNPP433‐3β in castration‐resistant prostate cancer

Molecular Oncology, EarlyView.
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, Elizabeth Thomas, Mehari M. Weldemariam, Puranik Purushottamachar, Weiliang Huang, Maureen A. Kane, Yuji Zhang, Nicholas Ambulos, Bi‐Dar Wang, David Weber, Vincent C. O. Njar   +10 more
wiley   +1 more source

ScAtt: an Attention based architecture to analyze Alzheimer's disease at cell type level from single-cell RNA-sequencing data [PDF]

arXiv
Alzheimer's disease (AD) is a pervasive neurodegenerative disorder that leads to memory and behavior impairment severe enough to interfere with daily life activities. Understanding this disease pathogenesis can drive the development of new targets and strategies to prevent and treat AD.
arxiv  

Combinatorial gene targeting in primary human hematopoietic stem and progenitor cells. [PDF]

Sci Rep, 2022
Bäckström A, Yudovich D, Žemaitis K, Nilsén Falck L, Subramaniam A, Larsson J.   +5 more
europepmc   +1 more source

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

Lethality rescue and long-term amelioration of a citrullinemia type I mouse model by neonatal gene-targeting combined to SaCRISPR-Cas9. [PDF]

Mol Ther Methods Clin Dev, 2023
Lisjak M, Iaconcig A, Guarnaccia C, Vicidomini A, Moretti L, Collaud F, Ronzitti G, Zentilin L, Muro AF.   +8 more
europepmc   +1 more source

Human cytomegalovirus ie2 negatively regulates alpha gene expression via a short target sequence near the transcription start site [PDF]

, 1991
Julie M. Cherrington, E L Khoury, Edward S. Mocarski   +2 more
openalex   +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

Identifying Key Genes in Cancer Networks Using Persistent Homology [PDF]

arXiv
Identifying driver genes is crucial for understanding oncogenesis and developing targeted cancer therapies. Driver discovery methods using protein or pathway networks rely on traditional network science measures, focusing on nodes, edges, or community metrics.
arxiv