Results 121 to 130 of about 113,463 (315)

Proteasomal degradation of intracellularly expressed Amblyomin‐X limits suicide gene therapy potential in melanoma cells

open access: yesFEBS Open Bio, EarlyView.
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel   +4 more
wiley   +1 more source

Long-Run Forecasting of Emerging Technologies with Logistic Models and Growth of Knowledge [PDF]

open access: yes, 2009
Organised by: Cranfield UniversityIn this paper applications of logistic S-curve and component logistics are considered in a framework of longterm forecasting of emerging technologies.
Schenk, Eric   +8 more
core  

MiR‐513a promotes human erythroid differentiation by modulating c‐Jun

open access: yesFEBS Open Bio, EarlyView.
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim   +11 more
wiley   +1 more source

Blood‐based proteomic profiling reveals context‐dependent changes in BCL2‐associated signaling during taxane therapy in breast cancer patients

open access: yesFEBS Open Bio, EarlyView.
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani   +6 more
wiley   +1 more source

[Project Summary: Long-Term Oil and Gas Structure Installation and Removal Forecasting in the Gulf of Mexico: A Decision-and Resource-Based Approach]

open access: yes, 2004
Report summary describing the work completed at Louisiana State University, Center for Energy Studies for Long-Term Oil and Gas Structure Installation and Removal Forecasting in the Gulf of Mexico: A Decision-and Resource-Based Approach.
Louisiana State University, Center for Energy Studies
core  

Identifying transcription factors controlling the basal expression of human MRP4 highlights a substantial role for Sp1

open access: yesFEBS Open Bio, EarlyView.
The MRP4 transporter exports several drugs and signaling molecules. Here, we identified key promoter elements regulating basal MRP4 expression. Using reporter assays, we defined a conserved region with essential Sp1 and contributory Ets sites, which controlled basal MRP4 expression.
Debora Singer   +7 more
wiley   +1 more source

Cointegration and long-horizon forecasting [PDF]

open access: yes
It is widely believed that imposing cointegration on a forecasting system, if cointegration is, in fact, present, will improve long-horizon forecasts.
Francis X. Diebold   +1 more
core  

A comprehensive framework for effective long-short term solar yield forecasting

open access: yesEnergy Conversion and Management: X
Due to the variability of Photovoltaic (PV) output, a forecasting framework is essential for grid connected PV plants to ensure a stable and uninterrupted power supply.
Biplob Ray   +7 more
doaj   +1 more source

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

open access: yesFEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young   +7 more
wiley   +1 more source

High Dimensional Yield Curves: Models and Forecasting [PDF]

open access: yes
Functional Signal plus Noise (FSN) models are proposed for analysing the dynamics of a large cross-section of yields or asset prices in which contemporaneous observations are functionally related.
Clive Bowsher, Roland Meeks
core  

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