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UnknownQuality of Life During Treatment With Chemohormonal Therapy: Analysis of E3805 Chemohormonal Androgen Ablation Randomized Trial in Prostate Cancer.
Not available
S-EPMC5891128 | biostudies-literature
UnknownChemohormonal Therapy in Metastatic Hormone-Sensitive Prostate Cancer: Long-Term Survival Analysis of the Randomized Phase III E3805 CHAARTED Trial.
Not available
S-EPMC5891129 | biostudies-literature
UnknownSeven-Month Prostate-Specific Antigen Is Prognostic in Metastatic Hormone-Sensitive Prostate Cancer Treated With Androgen Deprivation With or Without Docetaxel.
Not available
S-EPMC5805480 | biostudies-literature
ProteomicsProduction of isoprenol using the IPP-bypass pathway in Rhodosporidium toruloides
There is increasing demand for domestically generated-bioderived aviation fuels to strengthen the national energy supply while also reducing carbon emissions. Developing these supply chains provides an opportunity to explore novel aviation fuel components, such as 1,4-dimethylcyclooctane (DMCO). In ...
ORGANISM(S): Rhodotorula toruloides 
2026-04-09 | PXD064428 | Pride
Isoprenol  rhodosporidium toruloides  ipp-bypass pathway  phosphatase  advanced biofuel  sustainable aviation fuel jbei 
ProteomicsAutomation of a CRISPRi platform for enhanced isoprenol production in Pseudomonas putida [DBTL5]
Recent advances in genome engineering technologies have significantly enhanced the ability to perturb microbial metabolic networks. Despite this progress, many bioproduction efforts struggle to parse complex metabolic datasets (e.g., -omics) within the constraints of the traditional design-build-tes...
ORGANISM(S): Pseudomonas putida KT2440 
2025-09-19 | PXD063744 | Pride
Machine learning Saf Isoprenol Jbei Laboratory automation Crispri 
ProteomicsAutomation of a CRISPRi platform for enhanced isoprenol production in Pseudomonas putida [DBTL6]
Recent advances in genome engineering technologies have significantly enhanced the ability to perturb microbial metabolic networks. Despite this progress, many bioproduction efforts struggle to parse complex metabolic datasets (e.g., -omics) within the constraints of the traditional design-build-tes...
ORGANISM(S): Pseudomonas putida KT2440 
2025-09-19 | PXD063746 | Pride
Machine learning Saf Isoprenol Jbei Laboratory automation Crispri 
ProteomicsAutomation of a CRISPRi platform for enhanced isoprenol production in Pseudomonas putida [DBTL3]
Recent advances in genome engineering technologies have significantly enhanced the ability to perturb microbial metabolic networks. Despite this progress, many bioproduction efforts struggle to parse complex metabolic datasets (e.g., -omics) within the constraints of the traditional design-build-tes...
ORGANISM(S): Pseudomonas putida KT2440 
2025-09-19 | PXD063740 | Pride
Machine learning Saf Isoprenol Jbei Laboratory automation Crispri 
ProteomicsAutomation of a CRISPRi platform for enhanced isoprenol production in Pseudomonas putida [DBTL2]
Recent advances in genome engineering technologies have significantly enhanced the ability to perturb microbial metabolic networks. Despite this progress, many bioproduction efforts struggle to parse complex metabolic datasets (e.g., -omics) within the constraints of the traditional design-build-tes...
ORGANISM(S): Pseudomonas putida KT2440 
2025-09-19 | PXD063738 | Pride
Machine learning Saf Isoprenol Jbei Laboratory automation Crispri 
ProteomicsAutomation of a CRISPRi platform for enhanced isoprenol production in Pseudomonas putida [DBTL0]
Recent advances in genome engineering technologies have significantly enhanced the ability to perturb microbial metabolic networks. Despite this progress, many bioproduction efforts struggle to parse complex metabolic datasets (e.g., -omics) within the constraints of the traditional design-build-tes...
ORGANISM(S): Pseudomonas putida KT2440 
2025-09-19 | PXD063733 | Pride
Machine learning Saf Isoprenol Laboratory automation Crispri Jbei 
ProteomicsAutomation of a CRISPRi platform for enhanced isoprenol production in Pseudomonas putida [DBTL4]
Recent advances in genome engineering technologies have significantly enhanced the ability to perturb microbial metabolic networks. Despite this progress, many bioproduction efforts struggle to parse complex metabolic datasets (e.g., -omics) within the constraints of the traditional design-build-tes...
ORGANISM(S): Pseudomonas putida KT2440 
2025-09-19 | PXD063743 | Pride
Machine learning Saf Isoprenol Jbei Laboratory automation Crispri 
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