Effect of dietary higher level of selenium and nitrite concentration on the cellular defense response of Penaeus vannamei

Aquaculture ◽  
2006 ◽  
Vol 256 (1-4) ◽  
pp. 558-563 ◽  
Author(s):  
Wei-Na Wang ◽  
An-Li Wang ◽  
Ya-Juan Zhang
Keyword(s):  
Defense Response ◽  
Penaeus Vannamei ◽  
Nitrite Concentration ◽  
Cellular Defense

Drug resistance associates with activation of Nrf2 in MCF-7/DOX cells, and wogonin reverses it by down-regulating Nrf2-mediated cellular defense response

2012 ◽  
Vol 52 (10) ◽  
pp. 824-834 ◽  
Author(s):  
Yan Zhong ◽  
Fengyi Zhang ◽  
Zhongying Sun ◽  
Wei Zhou ◽  
Zhi-Yu Li ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Defense Response ◽  
Cellular Defense ◽  
Mcf 7

scholarly journals 548. Cellular Defense Response in Transduced and Transfected Human Tumor and Primary Cell Lines

2006 ◽  
Vol 13 ◽  
pp. S211
Author(s):  
Riikka Pellinen ◽  
Outi Rautsi ◽  
Saara Lehmusvaara ◽  
Sillanpää Maarit ◽  
Hakkarainen Tanja ◽  
...  
Keyword(s):  
Cell Lines ◽  
Defense Response ◽  
Human Tumor ◽  
Primary Cell ◽  
Cellular Defense ◽  
Primary Cell Lines

scholarly journals Evolution of core archetypal phenotypes in progressive high grade serous ovarian cancer

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Aritro Nath ◽  
Patrick A. Cosgrove ◽  
Hoda Mirsafian ◽  
Elizabeth L. Christie ◽  
Lance Pflieger ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Single Cell ◽  
Defense Response ◽  
Driver Mutations ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Cellular Defense ◽  
Transcriptome Variation ◽  
Evolution Of Resistance ◽  
Selection Of

AbstractThe evolution of resistance in high-grade serous ovarian cancer (HGSOC) cells following chemotherapy is only partially understood. To understand the selection of factors driving heterogeneity before and through adaptation to treatment, we profile single-cell RNA-sequencing (scRNA-seq) transcriptomes of HGSOC tumors collected longitudinally during therapy. We analyze scRNA-seq data from two independent patient cohorts to reveal that HGSOC is driven by three archetypal phenotypes, defined as oncogenic states that describe the majority of the transcriptome variation. Using a multi-task learning approach to identify the biological tasks of each archetype, we identify metabolism and proliferation, cellular defense response, and DNA repair signaling as consistent cell states found across patients. Our analysis demonstrates a shift in favor of the metabolism and proliferation archetype versus cellular defense response archetype in cancer cells that received multiple lines of treatment. While archetypes are not consistently associated with specific whole-genome driver mutations, they are closely associated with subclonal populations at the single-cell level, indicating that subclones within a tumor often specialize in unique biological tasks. Our study reveals the core archetypes found in progressive HGSOC and shows consistent enrichment of subclones with the metabolism and proliferation archetype as resistance is acquired to multiple lines of therapy.

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